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Morbidity and mortality associated with gun violence in the United States – 2 Minute Medicine

March 20th, 2020 8:50 pm

1. Firearm use and related crime rates, deaths and injuries have increased disproportionately in the United States compared to other high-income countries over the last decade.

2. Firearm related violence is associated with significant financial, psychosocial and physical harm to communities.

3. Individual and community-level preventative efforts around firearm-related violence and a greater awareness of related implications of firearm use are warranted in the United States and globally.

Study Rundown: Firearm usage, crime rates, related deaths and injuries have significantly increased in the United States over the last decade. Compared to other high income countries, firearm-related death rates were over 11-fold higher in the United States compared to 28 other high-income countries in 2015, with disproportionately higher rates of firearm deaths, firearm homicides, public mass shootings, and both civilian and police deaths in encounters. Firearm suicide rates were higher in rural settings, among men and older adults, and among White communities compared to Black communities. In comparison, firearm homicide victimization rate were higher in urban settings, among Black communities compared to White communities, among men, and ages 20 to 24 years.

While data on firearm related fatalities is generally reliable, data on non-fatal shootings through the Centers for Disease Control is less reliable in the United States. Similarly, crime-related gun use estimates are likely underestimated.

Apart from death and injuries, firearms and exposure to violence also contribute towards other problems and related costs. These include an increased risk of psychiatric (e.g. post-traumatic stress disorder, depression, anxiety and others), emotional (e.g. withdrawal, anger, nervousness and despair), behavioral (e.g. substance abuse, violence, poor academic performance, promiscuous behavior) and health complications (e.g. asthma, heart disease and others). Community-level costs related to firearm injuries and deaths through Medicaid, insurance premiums and uncompensated debt, as well as those related to criminal law enforcement and downstream consequences of high crime communities may be considered. National medical costs of initial hospitalizations for firearm injury have been estimated close to $750 million per year, and do not account for significant hospital-related expenditures and high re-admission rates with related complications.

This review identifies the United States as an outlier in terms of firearm related morbidity and mortality, and related financial, psychosocial and health related sequelae for victims, perpetrators and communities. The findings call for individual and community-level preventative efforts around firearm related violence and a greater awareness of their related implications in the United States and globally.

Click to read the study in Current Trauma Reports

Relevant reading: Global Mortality From Firearms: 1960-2016

Image: PD

20202 Minute Medicine, Inc. All rights reserved. No works may be reproduced without expressed written consent from2 Minute Medicine, Inc. Inquire about licensinghere. No article should be construed as medical advice and is not intended as such by the authors or by 2 Minute Medicine, Inc.

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New Research Among People Living With Rheumatoid Arthritis Reveals Key Determinants Of Patient Satisfaction With Doctors – Monterey County Weekly

March 20th, 2020 8:48 pm

SAN FRANCISCO, March 20, 2020 /PRNewswire/ --MyHealthTeams, creator of the largest and fastest-growing social networks for people facing chronic health conditions, today unveiled new research conducted among registered members of myRAteam, the social network for people living with rheumatoid arthritis (RA). Key findings spanned topics including patient satisfaction with their doctors, the impact RA has on quality of life, and common symptoms and flare-up triggers.

"Joint pain is just the tip of the iceberg for those living with rheumatoid arthritis. You've got to treat the whole person, not just their obvious symptoms," said Eric Peacock, cofounder and CEO of MyHealthTeams. "RA patients in this research made it clear that the best rheumatologists are those who take the time to truly understand the full range of symptoms and the quality of life impact people with RA are experiencing. The gap between patients satisfied and dissatisfied with their doctors was stark."

Patient Satisfaction: Determined by listening/understanding, time spent, and breadth of discussionThere is a high correlation between treatment satisfaction and doctor satisfaction, so if treatment isn't working to control a patient's RA, it's unlikely she will be satisfied with her doctor. But treatment effectiveness isn't the only driver. The study revealed a significant experience gap between those who are satisfied or not with their doctors. Among the 57% of RA patients who report overall satisfaction with their doctors: 87% feel their doctor listens to them and understands their needs; 81% believe their doctor spends enough time with them; 74% report their doctor addresses symptoms such as pain, depression and anxiety; 65% discuss treatment side effects with their doctor; and 52% say their doctor has worked with them to develop a long-term plan. Among the 43% of RA patients who report overall dissatisfaction with their doctors, these numbers drop to 24%, 26%, 20%, 29% and 12% respectively.

Impact on Quality of Life: Daily challenges and emotional impacts take toll at home, work and beyond RA, a chronic inflammatory condition in which the body's immune system attacks its own tissue, including joints, has wide-ranging impact on quality of life.

Further, the emotional toll of RA is significant.

Symptoms and Triggers: Aggravated by environmental factors, disease causes symptoms well beyond joint pain and stiffnessBeyond the joint pain and stiffness experienced by nearly everyone surveyed, myRAteam members report a broad spectrum of symptoms, including:

The top reported triggers for flare-ups of RA symptoms are stress (79%) and cold weather (73%).

This research was conducted among registered members of myRAteam. 374 individuals responded to the online survey. Full survey findings are available at https://www.myrateam.com/resources/the-results-are-in-people-living-with-rheumatoid-arthritis-are-more-satisfied-with-their-doctors-when-they-feel-heard-and-understood

About MyHealthTeamsMyHealthTeamsbelieves that if you are diagnosed with a chronic condition, it should be easy to find and connect with others like you. MyHealthTeams creates social networks for people living with a chronic health condition. Millions of people have joined one of the company's 35 highly engaged communities focusing on the following conditions: Crohn's and colitis, multiple sclerosis, lupus, fibromyalgia, pulmonary hypertension, spondylitis, eczema, myeloma, hyperhidrosis, vitiligo, rheumatoid arthritis, psoriasis, leukemia, lymphoma, irritable bowel syndrome, Parkinson's, Alzheimer's, epilepsy, hemophilia, hidradenitis suppurative, depression, heart disease, type 2 diabetes, osteoporosis, COPD, chronic pain, migraines, food allergies, obesity, HIV, PCOS, endometriosis, breast cancer and autism. MyHealthTeams' social networks are available in 13 countries.

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Repository Corticotropin Injection for Active Rheumatoid Arthritis Despite Aggressive Treatment: A Randomized Controlled Withdrawal Trial – DocWire…

March 20th, 2020 8:48 pm

INTRODUCTION:

The objective of this study was to assess efficacy and safety of repository corticotropin injection (RCI) in subjects with activerheumatoid arthritis(RA) despite treatment with a corticosteroid and one or two disease-modifying antirheumatic drugs (DMARDs).

All subjects received open-label RCI (80 U) twice weekly for 12weeks (part 1); only those with low disease activity [LDA; i.e., Disease Activity Score 28 joint count and erythrocyte sedimentation rate (DAS28-ESR)<3.2] were randomly assigned to receive either RCI (80 U) or placebo twice weekly during the 12-week double-blind period (part 2). The primary efficacy endpoint was the proportion of subjects who achieved LDA at week 12. Secondary efficacy endpoints included proportions of subjects who maintained LDA during weeks 12 through 24 and achieved Clinical Disease Activity Index (CDAI)10 at weeks 12 and 24. Safety was assessed via adverse event reports.

Of the 259 enrolled subjects, 235 completed part 1; 154 subjects (n=77 each for RCI and placebo) entered part 2, and 127 (RCI, n=71; placebo, n=56) completed. At week 12, 163 subjects (62.9%) achieved LDA and 169 (65.3%) achieved CDAI10 (both p<0.0001). At week 24, 47 (61.0%) RCI-treated and 32 (42.1%) placebo-treated subjects maintained LDA (p=0.019); 66 (85.7%) RCI-treated and 50 (65.8%) placebo-treated subjects maintained CDAI10 (p=0.004). No unexpected safety signals were observed.

RCI was effective and generally safe in patients with active RA despite corticosteroid/DMARD therapy. By week 12,>60% of patients achieved LDA, which was maintained with 12 additional weeks of treatment. Most patients who achieved LDA maintained it for 3months after RCI discontinuation.

Clinicaltrials.gov identifierNCT02919761.

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Relationship between disease activity of rheumatoid arthritis and development of locomotive syndrome: A five-year longitudinal cohort study – DocWire…

March 20th, 2020 8:48 pm

OBJECTIVE:

This study aimed to longitudinally evaluate the association betweenrheumatoid arthritis(RA) and locomotive syndrome (LS) in RA patients using the 25-question Geriatric Locomotive Function Scale (GLFS-25).

Subjects were 58 RA patients (female, 48 (82.8%); mean age, 60.910.9 years) who had GLFS-25 scores available for five consecutive years and who did not have LS at baseline (i.e., GLFS-25<16 points). Associations between DAS28-CRP and the development of LS were determined using linear regression analysis and receiver operating characteristic (ROC) curve analysis.

Subjects were divided into the LS group (n=15, GLFS-2516 points) and Non-LS group (n=43, GLFS-25<16 points) based on GLFS-25 scores at the 5th year of the study period. In the LS group, DAS28-CRP worsened every year. The linear regression model adjusted for age and sex revealed that GLFS-25 increased by 3.80 (95% confidence interval: 1.81-5.79) each time DAS28-CRP increased by 1 (p<0.001). Among patients in remission (DAS28-CRP <2.3), 13.5% had LS. ROC curve analysis yielded a five-year mean DAS28-CRP of 1.99 (sensitivity, 86.7%; specificity, 62.8%) as the cut-off point for the development of LS.

Tight control of RA disease activity for deeper remission may be needed to prevent the development of LS.

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Assessment of the Patient Acceptable Symptom State (PASS) in psoriatic arthritis: association with disease activity and quality of life indices -…

March 20th, 2020 8:48 pm

OBJECTIVE:

The aim of this study was to evaluate the discriminant capability of the Patient Acceptable Symptom State (PASS) according to disease activity, remission/low disease activity indices and quality of life indices in patients withpsoriatic arthritis(PsA).

Consecutive patients with PsA were enrolled in this cross-sectional study. At each visit, the patients underwent a complete physical examination and their clinical/laboratory data were collected. Disease activity was assessed using the Disease Activity Score forPsoriatic Arthritis(DAPSA) and remission/low disease activity using the DAPSA minimal disease activity (MDA) and very low disease activity (VLDA) criteria. ThePsoriatic ArthritisImpact of Disease (PsAID) and the Health Assessment Questionnaire-Disability Index scores were also collected. Finally, PASS was assessed by asking all patients to answer yes or no to a single question.

Patients who answered yes to PASS showed a significantly better overall mean DAPSA score than those who were not in PASS. Furthermore, patients in PASS showed a significantly lower level of systemic inflammation, lower Leeds Enthesitis Index score, a significantly lower impact of disease (PsAID), lower pain and better function than patients who answered no to PASS. A moderate to good agreement was found between PASS, MDA, DAPSA low disease activity and PsAID score 4. Good sensitivity and specificity were found with PASS with respect to DAPSA low disease activity, and although PASS is sensitive in the identification of patients with MDA, DAPSA remission and VLDA it lacks of specificity.

This study showed that PASS might be used as an alternative to determine disease activity in patients with PsA in real clinical practice, mainly in patients with low disease activity according to DAPSA criteria.

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FDA Approves OTC Combination of Ibuprofen and Acetaminophen for Minor Arthritis Pain – Rheumatology Advisor

March 20th, 2020 8:48 pm

Home Topics Pain Management

The FDA has approved Advil Dual Action with Acetaminophen (GlaxoSmithKline), the first over-the-counter (OTC) fixed-dose combination therapy containing ibuprofen and acetaminophen for the temporary relief of minor aches and pains due to headache, backache, muscular aches, toothache, menstrual cramps, and minor pain of arthritis.

Each caplet contains 125mg of Ibuprofen, a nonsteroidal anti-inflammatory drug (NSAID) and 250mg of acetaminophen and is indicated for adults and children 12 years of age and older. The approval was based on study data that showed use of the fixed-dose combination therapy was associated with superior pain relief compared with the individual components taken alone.

Advil Dual Action with Acetaminophen is expected to be available nationwide sometime during 2020.

GlaxoSmithKline recently received FDA approval for another OTC pain reliever, Voltaren Arthritis Pain (diclofenac topical gel), for the temporary relief of arthritis pain in the hand, wrist, elbow, foot, ankle or knee in adults 18 years old. The OTC formulation is the same as the prescription strength (10mg of diclofenac sodium per gram or 1%). It is expected to be available in spring 2020.

For more information visit gsk.com.

This article originally appeared on MPR

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Rheumatoid Arthritis Treatment Market Share, Size, Future Demand, Global Research, Top Leading Player, Emerging Trends and Forecast to 2029 – Daily…

March 20th, 2020 8:48 pm

The Rheumatoid Arthritis Treatment Market study offers an in-depth analysis of the current market trends influencing this business vertical. The study also includes market valuation, market size, revenue forecasts, geographical spectrum and SWOT Analysis of the industry. In addition, the report depicts key challenges and growth opportunities faced by the industry bigwigs, in consort with their product offerings and business strategies.

A collective analysis of Rheumatoid Arthritis Treatment Market offering an exhaustive study based on current trends influencing this vertical across various geographies has been provided in the report. Also, this research study estimates this space to accrue considerable income during the projected period, with the help of a plethora of driving forces that will boost the industry trends during the forecast duration. Snippets of these influences, in tandem with countless other dynamics relating to the Rheumatoid Arthritis Treatment Market, like the risks that are predominant across this industry along with the growth prospects existing in Rheumatoid Arthritis Treatment Market, have also been charted out in the report.

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Additional deliverables mentioned in the report include details pertaining to the sales channels deployed by prominent sellers in order to retail their status in the industry, including direct and indirect marketing.

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Rheumatoid Arthritis Diagnosis Tests Market expected to Witness a Sustainable Growth over 2017 2025 – Feed Road

March 20th, 2020 8:48 pm

Rheumatoid Arthritis Diagnosis Tests Market size will reach xx million US$ by 2029, from xx million US$ in 2018, at a CAGR of xx% during the forecast period. In this study, 2018 has been considered as the base year and2017 2025 as the forecast period to estimate the market size for Rheumatoid Arthritis Diagnosis Tests.

This industry study presents the Rheumatoid Arthritis Diagnosis Tests Market size, historical breakdown data 2014-2019 and forecast 2017 2025. The Private Plane production, revenue and market share by manufacturers, key regions and type; The consumption of Rheumatoid Arthritis Diagnosis Tests Market in volume terms are also provided for major countries (or regions), and for each application and product at the global level.

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Rheumatoid Arthritis Diagnosis Tests Market report coverage:

The Rheumatoid Arthritis Diagnosis Tests Market report covers extensive analysis of the market scope, structure, potential, fluctuations, and financial impacts. The report also enfolds the precise evaluation of market size, share, product & sales volume, revenue, and growth rate. It also includes authentic and trustworthy estimations considering these terms.

The Rheumatoid Arthritis Diagnosis Tests Market has been reporting substantial growth rates with considerable CAGR for the last couple of decades. According to the report, the market is expected to grow more vigorously during the forecast period and it can also influence the global economic structure with a higher revenue share. The market also holds the potential to impact its peers and parent market as the growth rate of the market is being accelerated by increasing disposable incomes, growing product demand, changing consumption technologies, innovative products, and raw material affluence.

The study objectives are Rheumatoid Arthritis Diagnosis TestsMarket Report:

In this study, the years considered to estimate the market size of Rheumatoid Arthritis Diagnosis TestsMarket:

History Year: 2014 2018

Base Year: 2018

Estimated Year: 2019

Forecast Year:2017 2025

This report includes the estimation of market size for value (million USD) and volume (K Units). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Rheumatoid Arthritis Diagnosis Tests Market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.

For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

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Fight Inflammation With Tart Cherry Juice – Newsmax

March 20th, 2020 8:48 pm

Tart cherry juice is the latest health rage and for good reason. The cancer-fighting beverage may also protect against heart disease, reduce arthritis symptoms, and help you sleep more soundly.

"Tart cherries are loaded with important nutrients, but you'd have to eat an entire bag of them to obtain all the benefits you get by sipping the juice," says Michele Turcotte, M.S., R.D., a dietitian and nutritionist in Lake Geneva, Wisconsin. "Its juice contains many antioxidants and anti-inflammatory agents, which can help alleviate a variety of ailments like asthma symptoms and pain."

Turcotte explains that tart cherries, like all red fruits and vegetables, are rich in anthocyanins, a particularly potent antioxidant phytochemical.

"Anthocyanins encourage healthy circulation, ensure proper nerve function, and offer cancer-fighting properties," says the expert. A research study published in the Journal of Nutrition says that tart cherry juice provides older adults great protection against the development of heart disease, cancer and age-related cognitive decline.

Here are more health benefits:

* Heart disease and diabetes. The quercetin found in tart cherry juice is another powerful antioxidant that helps prevent free radical damage caused by low-density lipoprotein or LDL, according to a 2013 study. When LDL cholesterol is oxidized, its more likely to stick to arterial walls, forming plaque that contributes to heart attack and stroke.

Another study published in the International Journal of Preventative Medicine noted that intake of high levels of quercetin were associated with reduced risk of type 2 diabetes.

* Insomnia. Drinking an 8-ounce glass of tart cherry juice in the morning and the evening may be a better and safer way to treat insomnia than taking drugs, according to researchers at Louisiana State University. Tart cherries are a natural source of melatonin, a hormone that helps regulate the sleep-wake cycle.

* Sports recovery and muscle damage. Marathon runners who consumed 8 ounces of tart cherry juice twice daily for five days prior to a marathon, on the day of the marathon, and then for two days afterward reported less muscle damage, soreness, inflammation, and protein breakdown than runners who consumed a placebo, according to research published in the Scandinavian Journal of Medicine and Science in Sports.

* Arthritis and gout. Tart cherry juice may reduce arthritis symptoms such as joint pain and inflammation, according to several studies. A 2012 study revealed that folks with osteoarthritis who drank tart cherry juice for 21 days had reduced symptoms of pain.

* Brain health. Since degenerative brain disorders like Parkinson's and Alzheimer's are thought to be causeed, in part, by oxidative stress, drinking tart cherry juice may have protective effects on brain cells. In fact, in one study, older adults with mild-to-moderate cognitive decline consumed 6 ounces of tart cherry juice daily or a placebo for 12 weeks. The adults in the tart cherry juice group experienced improvement in verbal fluency, short term memory, and long-term memory, whereas the placebo group experienced no improvement.

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Lessons from cancer patients in the time of coronavirus – Fred Hutch News Service

March 20th, 2020 8:47 pm

SCCA psychiatrist Dr. Nicole Bates, who splits her time between patients with cancer and those without, said uncertainty can either demoralize or empower people. Some cancer patients, she said, become depressed or anxious, while others develop incredible resilience.

So many of us are grappling with the initial affront and lack of control, she said, regarding the current crisis. Ive been struck by how my patients find strength through uncertainty, how they use it to crystallize priorities for living each day.

Fred Hutch psychologist and patient outcomes researcher Dr. Salene Jones described resilience as the ability to adapt to stressful events.

A person can be sad, unhappy or stressed, and still, ultimately, be resilient, she said, pointing to resiliency tips recently published by the American Psychological Association. Resilience is not the absence of feeling stressed but finding a way to cope with it. Its OK to be a mess sometimes. Just not all the time.

Cancer patients have also been staying connected, while apart, for years.

#BCSM (short for breast cancer social media) holds weekly Twitter chats, drawing patients and survivors from around the world. Ditto for other patient communities on Twitter, including for brain cancer, lung cancer, pancreatic cancer and many more. People living with disease also regularly gather in closed Facebook groups or vast online patient communities like Inspire, Smart Patients, Colontown and others to ask for advice, grouse about side effects and gain strength from others.

Its easy to become isolated and lonely, said Renee Kaiman, a 38-year-old metastatic breast cancer patient and mother of two from Toronto, Canada. Right now, its good to reach out to people via FaceTime or have phone calls. Try to do things you enjoy to keep your mood up.

Staying connected with yourself is also key, especially when dealing with isolation and angst.

This is a great time to explore creative projects, to listen to music, to try new recipes theyve never tried before, Kleinhofer said. We cant control whats happening right now, but we can control how we respond to it. Things may seem crazy but every day theres something to be thankful for. Find what makes you happy and focus on that, whether its family or friends or the sound of birds chirping outside. And if you start to spin out of control, thats when yoga, meditation and mindfulness can come into play.

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Stem Cell-Derived Cells Value Projected to Expand by 2019-2025 – 3rd Watch News

March 20th, 2020 8:47 pm

In this new business intelligence Stem Cell-Derived Cells market report, PMR serves a platter of market forecast, structure, potential, and socioeconomic impacts associated with the global Stem Cell-Derived Cells market. With Porters Five Forces and DROT analyses, the research study incorporates a comprehensive evaluation of the positive and negative factors, as well as the opportunities regarding the Stem Cell-Derived Cells market.

With having published myriads of Stem Cell-Derived Cells market reports, PMR imparts its stalwartness to clients existing all over the globe. Our dedicated team of experts deliver reports with accurate data extracted from trusted sources. We ride the wave of digitalization facilitate clients with the changing trends in various industries, regions and consumers. As customer satisfaction is our top priority, our analysts are available 24/7 to provide tailored business solutions to the clients.

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The Stem Cell-Derived Cells market report has been fragmented into important regions that showcase worthwhile growth to the vendors Region 1 (Country 1, Country 2), region 2 (Country 1, Country 2) and region 3 (Country 1, Country 2). Each geographic segment has been assessed based on supply-demand status, distribution, and pricing. Further, the study provides information about the local distributors with which the Stem Cell-Derived Cells market players could create collaborations in a bid to sustain production footprint.

key players in stem cell-derived cells market are focused on generating high-end quality cardiomyocytes as well as hepatocytes that enables end use facilities to easily obtain ready-made iPSC-derived cells. As the stem cell-derived cells market registers a robust growth due to rapid adoption in stem cellderived cells therapy products, there is a relative need for regulatory guidelines that need to be maintained to assist designing of scientifically comprehensive preclinical studies. The stem cell-derived cells obtained from human induced pluripotent stem cells (iPS) are initially dissociated into a single-cell suspension and later frozen in vials. The commercially available stem cell-derived cell kits contain a vial of stem cell-derived cells, a bottle of thawing base and culture base.

The increasing approval for new stem cell-derived cells by the FDA across the globe is projected to propel stem cell-derived cells market revenue growth over the forecast years. With low entry barriers, a rise in number of companies has been registered that specializes in offering high end quality human tissue for research purpose to obtain human induced pluripotent stem cells (iPS) derived cells. The increase in product commercialization activities for stem cell-derived cells by leading manufacturers such as Takara Bio Inc. With the increasing rise in development of stem cell based therapies, the number of stem cell-derived cells under development or due for FDA approval is anticipated to increase, thereby estimating to be the most prominent factor driving the growth of stem cell-derived cells market. However, high costs associated with the development of stem cell-derived cells using complete culture systems is restraining the revenue growth in stem cell-derived cells market.

The global Stem cell-derived cells market is segmented on basis of product type, material type, application type, end user and geographic region:

Segmentation by Product Type

Segmentation by End User

The stem cell-derived cells market is categorized based on product type and end user. Based on product type, the stem cell-derived cells are classified into two major types stem cell-derived cell kits and accessories. Among these stem cell-derived cell kits, stem cell-derived hepatocytes kits are the most preferred stem cell-derived cells product type. On the basis of product type, stem cell-derived cardiomyocytes kits segment is projected to expand its growth at a significant CAGR over the forecast years on the account of more demand from the end use segments. However, the stem cell-derived definitive endoderm cell kits segment is projected to remain the second most lucrative revenue share segment in stem cell-derived cells market. Biotechnology and pharmaceutical companies followed by research and academic institutions is expected to register substantial revenue growth rate during the forecast period.

North America and Europe cumulatively are projected to remain most lucrative regions and register significant market revenue share in global stem cell-derived cells market due to the increased patient pool in the regions with increasing adoption for stem cell based therapies. The launch of new stem cell-derived cells kits and accessories on FDA approval for the U.S. market allows North America to capture significant revenue share in stem cell-derived cells market. Asian countries due to strong funding in research and development are entirely focused on production of stem cell-derived cells thereby aiding South Asian and East Asian countries to grow at a robust CAGR over the forecast period.

Some of the major key manufacturers involved in global stem cell-derived cells market are Takara Bio Inc., Viacyte, Inc. and others.

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Magenta Therapeutics Inc (NASDAQ:MGTA) Expected to Post Earnings of -$0.61 Per Share – Redmond Register

March 20th, 2020 8:47 pm

Equities research analysts predict that Magenta Therapeutics Inc (NASDAQ:MGTA) will announce ($0.61) earnings per share (EPS) for the current fiscal quarter, according to Zacks. Zero analysts have issued estimates for Magenta Therapeutics earnings. The lowest EPS estimate is ($0.68) and the highest is ($0.57). Magenta Therapeutics reported earnings of ($0.44) per share in the same quarter last year, which suggests a negative year over year growth rate of 38.6%. The business is expected to report its next earnings results on Thursday, May 14th.

On average, analysts expect that Magenta Therapeutics will report full-year earnings of ($2.17) per share for the current year, with EPS estimates ranging from ($2.25) to ($2.13). For the next fiscal year, analysts anticipate that the business will post earnings of ($1.90) per share, with EPS estimates ranging from ($2.13) to ($1.58). Zacks Investment Researchs EPS calculations are an average based on a survey of research analysts that follow Magenta Therapeutics.

Magenta Therapeutics (NASDAQ:MGTA) last issued its quarterly earnings data on Tuesday, March 3rd. The company reported ($0.59) EPS for the quarter, missing the Zacks consensus estimate of ($0.58) by ($0.01).

In other news, insider John C. Davis, Jr. sold 11,294 shares of the stock in a transaction on Thursday, January 2nd. The stock was sold at an average price of $15.04, for a total value of $169,861.76. Following the completion of the transaction, the insider now owns 19,598 shares of the companys stock, valued at $294,753.92. The transaction was disclosed in a document filed with the SEC, which is available at the SEC website. Also, insider Jason Gardner sold 11,200 shares of the stock in a transaction on Friday, January 10th. The stock was sold at an average price of $15.25, for a total value of $170,800.00. Following the completion of the transaction, the insider now directly owns 251,212 shares of the companys stock, valued at approximately $3,830,983. The disclosure for this sale can be found here. In the last three months, insiders sold 25,391 shares of company stock valued at $384,406. Company insiders own 10.90% of the companys stock.

Several large investors have recently added to or reduced their stakes in the company. Bank of Montreal Can boosted its stake in Magenta Therapeutics by 57.3% during the fourth quarter. Bank of Montreal Can now owns 2,652 shares of the companys stock valued at $40,000 after buying an additional 966 shares in the last quarter. Bank of New York Mellon Corp boosted its stake in Magenta Therapeutics by 5.0% during the fourth quarter. Bank of New York Mellon Corp now owns 62,868 shares of the companys stock valued at $953,000 after buying an additional 2,985 shares in the last quarter. Citigroup Inc. boosted its stake in Magenta Therapeutics by 248.7% during the fourth quarter. Citigroup Inc. now owns 6,876 shares of the companys stock valued at $104,000 after buying an additional 4,904 shares in the last quarter. Metropolitan Life Insurance Co NY bought a new position in Magenta Therapeutics during the third quarter valued at about $76,000. Finally, Ikarian Capital LLC bought a new position in Magenta Therapeutics during the fourth quarter valued at about $131,000. 65.41% of the stock is owned by institutional investors.

Shares of MGTA opened at $6.70 on Friday. The company has a market cap of $391.31 million, a P/E ratio of -3.27 and a beta of 2.77. The stock has a fifty day moving average price of $11.43 and a 200 day moving average price of $11.87. Magenta Therapeutics has a 12 month low of $6.18 and a 12 month high of $21.00.

About Magenta Therapeutics

Magenta Therapeutics, Inc, a clinical-stage biotechnology company, develops novel medicines to extend the curative power of stem cell transplant, gene therapy, genome editing, and cell therapy to patients. It is developing C100, C200, and C300 targeted antibody-drug conjugates for transplant conditioning; MGTA-145, a novel stem cell mobilization product candidate to control stem cell mobilization; MGTA-456, an allogeneic stem cell therapy to control stem cell growth; E478, a small molecule aryl hydrocarbon receptor antagonist for the expansion of gene-modified stem cells; and G100, an antibody-drug conjugate program to prevent acute graft and host diseases.

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Magenta Therapeutics Inc (NASDAQ:MGTA) Expected to Post Earnings of -$0.61 Per Share - Redmond Register

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Q&A:Transforming genetic medicine as the medical standard of care (Includes interview) – Digital Journal

March 20th, 2020 8:46 pm

With rare diseases, 72 percent out of the 7000 known are genetic, and 70 percent of those start in childhood. The lack of scientific knowledge and the quality of information often delay diagnosis or lead to misdiagnosed cases, losing precious time that can be vital to find treatment before it's too late.This situation is changing with the advent of genetic medicine. an example is Emedgene's artificial intelligence software, which is the worlds first completely automated genetic interpretation platform using machine learning algorithms.Digital Journal spoke with Einat Metzer, CEO and Co-Founder of Emedgene to talk about the new genetic interpretation software.Digital Journal: How are rare diseases classified?Einat Metzer: Rare diseases defined by the number of people affected. In the U.S., any disease that affects fewer than 200,000 people is defined as rare, in Europe, its any disease affecting fewer than 1 in 2000 people.There are around 6000 known rare diseases, and that number is growing. Whats interesting to know, is that although they are each individually rare, collectively they impact over 300 million people. Those patients have a very difficult time receiving a diagnosis for their disease, and typically go through a diagnostic odyssey lasting on average 5-7 years. Its also worth noting that most rare diseases have a genetic basis, and appear in early childhood. DJ: Is sufficient funding and research invested into rare diseases? What are the factors that influence this?Metzer: There are two challenging aspects to rare diseases, the first is the identification of a rare disease, because obviously, physicians arent familiar with every disease affecting only tens or hundreds of patients worldwide. The second difficult aspect is developing treatments for diseases impacting small numbers of patients. The good news is countries and healthcare systems are increasingly recognizing the need to cover genetic testing for the identification of rare diseases. As of today, over 50% of the US population has insurance coverage for next generation sequencing. However, even insurance coverage for the tests does not entirely solve the problem. Sequencing a patients DNA is easily done, but understanding what variants in a patients genome mean is still quite challenging. Every patient has millions of harmless genetic variants, and only one disease-causing mutation. As a result, geneticists can spend hours manually reviewing hundreds of variants and looking for evidence for the disease in databases and the literature. There are fewer than 5,000 geneticists worldwide available to interpret patients genetic data, resulting in an interpretation bottleneck. Even as more patients become eligible for genetic testing, the workforce capable of diagnosing them is not growing fast enough. We estimate the worldwide capacity of interpretation is capped at roughly 2.4 million tests, less than the predicted rare disease testing volume for 2020. DJ: How can machine learning help?Metzer:Machine learning technologies can reduce the manual labor of interpretation, by offloading both the research and deep analysis tasks from geneticists. Machine learning is a buzzword, widely used, and applied to many types of solutions. Were talking about a unique application of the technology here, where we wont use a single algorithm to solve a single problem. Instead, we need to apply a set of algorithms designed to automate different aspects of the geneticists workflow. On the one hand, the geneticists work is to review thousands of data points for every patients test, and use them to come to a conclusion on the single genetic variant thats causing the disease. We can certainly apply machine learning algorithms to review those data points. But we can go a step further, and collect the data points most likely to impact their decision, and include those in our recommendations. The second labor-intensive task geneticists perform, is looking for the most up-to-date information in databases and the published literature. Thats a task well suited for Natural Language Processing, which can be used to augment existing databases with information curated from the literature. DJ: How does Emedgenes AI software work?Metzer:Emedgenes AI-powered genomic analysis platform tries to do just that, automate the labor-intensive parts of the geneticists workflow, so interpreting a patients genetic test takes less time and effort, and accuracy is not compromised. The goal is to scale the genetic testing interpretation in healthcare systems, so they can offer personalized care to a broader population. Our AI consists of dozens of different algorithms, each solving a different problem, all coming together to automate the genetic testing interpretation workflow. The platform is able to automatically identify the disease-causing variant, compile the evidence, and present it to the geneticist on the case for review. The machine learning algorithms utilize a proprietary knowledge graph that continuously incorporates new knowledge. The knowledge graph contains over 85,000 entities and 340,000 connections today, including unique information curated from the literature that has not yet made its way into public databases.DJ: What were the main challenges when developing the software?Access to large high-quality data sets is a major challenge in developing AI solutions in healthcare in general. For our supervised learning algorithms - those that require labeled data for training the algorithm - once we obtained the data, labeling was a challenge as well. The level of education required to annotate healthcare datasets is quite high.Fortunately, there are good solutions to both problems, both from the scientific and AI perspective. DJ: Are there any case studies you can share, to show the benefits of the approach?Metzer:Weve studied the accuracy of our interpretation algorithms with Baylor Genetics. In the 180-case study, our AI successfully identified the disease-causing mutation in 96% of the cases. Another of our customers, Greenwood Genetic Center, was able to reduce time spent per case by 75%, which was translated directly into shorter turn around times for patients waiting for a genetic diagnosis.

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Q&A:Transforming genetic medicine as the medical standard of care (Includes interview) - Digital Journal

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Studying the African genome could yield new medical treatments for everyone – Genetic Literacy Project

March 20th, 2020 8:46 pm

Dr. Segun Fatumo is a computer scientist with specialization in bioinformatics with keen interest in the genetic impact of non-communicable diseases in Africa and bioinformatics capacity building in Africa. He has been involved in various genetic projects including analysing a large-scale genomic dataset from Ugandan population. During his PhD, he was able to identified twenty-two (22) potential novel drug targets against malaria. Currently, he is an Assistant Professor at the London School of Hygiene and Tropical Medicine (University of London). Genetic Literacy Project (GLP) interviewed him to shed more light on the importance, challenges and future direction of a recent genetic research that he was a leading

As one of the lead authors of your recently published paper, what motivated this research project?

Precision medicine is fundamentally going to change healthcare. Genomic medicines is a key component of precision medicine with enormous potential to inform clinical medicine. One potential limitation to genomic medicine is the underrepresentation of African and other populations in genomics research. Previous studies have warned that a much broader range of populations should be investigated to avoid genomic medicine being of benefit merely to a privileged few. This is especially problematic, as previous studies have shown that Africa studies contribute an outsized number of associations relative to studies of similar sizes in Europeans. To demonstrate the potential of African genomes as a great resource for genomic medicine, we collected and analyzed genome-wide data from 6,407 individuals from Uganda.

What is the value of collecting more genomic data from African populations which are badly underrepresented in genomic databases.

Our findings from even modest side studies highlight the importance and usefulness of examining genetically diverse populations within Africa. Findings from large-scale studies from Africa may foster the development of new treatments that will benefit people living in Africa as well as people of African descent around the world.

What sort of challenges did you face in the study, and how did you overcame them?

So many challenges including community engagement, ethics, recruitment, etc. Globally, genomics research and specifically recruitment of participants regardless of the continent is always challenging. However, 60% of Africans live in rural areas. Prospective participants are more likely to be poor and to have limited access to healthcare and education. This means that the carrying out of research in these settings invariably presents challenges of a different order to those in higher income countries. Researchers should not exploit these challenges.

Is the value of this research project beyond Uganda and why?

Yes. Findings from our study may foster the development of new treatments that will benefit people living in Africa as well as people of African descent around the world.

What were the responses that you have received so far about the findings?

Enormous responses. I find it difficult to attend to all media requests.

What is the future direction of the research?

While there is an urgent need to perform large-scale genomic research in Africa, several ongoing initiatives such as H3Africa and the Nigerian 100K Non-Communicable Diseases Genetic Heritage Study (NCD-GHS) could provide the data to improve the evidence base and make genome medicine useful to diverse populations.

How do you see the future of genetics and bioinformatics in Africa?

I think we are now on the right track. We have established the Nigerian Bioinformatics and Genomics Network (NBGN). There are also other initiatives. We are now focusing on building capacity in Africa.

Olumide Odeyemi is a research scientist with a doctoral degree from the University of Tasmania, Australia. His areas of expertise and interest include food microbiology, microbial food safety and quality, aquaculture microbiology and research communication. Follow him on Twitter @olumide_odeyemi

Dr. Segun Fatumo is an assistant professor of genetic epidemiology and bioinformatics at the London School of Hygiene & Tropical Medicine. Follow him on Twitter @SFatumo

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Studying the African genome could yield new medical treatments for everyone - Genetic Literacy Project

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Genetic Effects of DISC1 and G72 (DAOA) on Visual Learning of Patients | NDT – Dove Medical Press

March 20th, 2020 8:46 pm

Jane Pei-Chen Chang,1,* Kuo-Hao Huang,1,* Chieh-Hsin Lin,2,3 Hsien-Yuan Lane1,3,4

1Department of Psychiatry & Brain Disease Research Center, China Medical University Hospital, Taichung, Taiwan; 2Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan; 3Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan; 4Department of Psychology, College of Medical and Health Sciences, Asia University, Taichung, Taiwan

*These authors contributed equally to this work

Correspondence: Chieh-Hsin LinDepartment of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, No. 123, Dapi Road, Niaosong District, Kaohsiung 833, TaiwanTel +886-7-7317123 ext. 8753Fax +886-7-7326817Email cyndi36@gmail.com

Hsien-Yuan LaneDepartment of Psychiatry, China Medical University Hospital, No. 2, Yuh-Der Road, Taichung 404, TaiwanTel +886-4-22062121 ext. 1074Fax +886-4-2236-1230Email hylane@gmail.com

Background: Visual learning plays an important role in general populations and patients with schizophrenia. Genetic influences on visual learning remain unknown. Two functional single nucleotide polymorphisms (SNPs), Ser704Cys of the DISC1 gene and M24 (rs1421292) of the G72 gene, are strongly associated with pathogenesis and pathophysiology of schizophrenia. This study examined these two SNPs effects on visual learning in schizophrenia patients.Methods: Two hundred seventy-one patients (mean age, 37.0 years [SD = 9.3]; 159 men) with chronic schizophrenia were genotyped for the DISC1 Ser704Cys and G72 M24 SNPs and assessed for visual learning with Visual Reproduction II (delayed reproduction) of Wechsler Memory Scale III (WMS-III). For comparison, verbal learning (using Wordlist II of WMS-III) and attention (by Continuous Performance Test) were also measured.Results: The DISC1 Ser carriers excelled DISC1 Cys/Cys homozygotes in visual learning (p=0.004, effect size: 0.43), but not in other cognitive functions. G72 M24 A-allele carriers and G72 M24 T/T homozygotes performed similarly (effect size: 0.07). In SNP-SNP interaction analysis, the patients with Ser carrier_T/T had better visual learning than those with Cys/Cys_T/T (p=0.004, effect size: 0.70) and those with Cys/Cys_A-allele carrier (p=0.003, effect size: 0.65). Education had a positive effect (p=0.007), while negative symptoms had a negative effect (p< 0.001) on visual learning.Conclusion: The findings suggest that genetic variations in DISC1 Ser704Cys and G72 M24 affect visual learning in schizophrenia patients. The effect sizes of SNP-SNP interaction surpassed the sum (0.50) of effect sizes from two individual genes, suggesting synergistic DISC1-G72 interaction.

Keywords: attention, DISC1, G72, visual and verbal learning, schizophrenia

This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License.By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.

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Genetic Effects of DISC1 and G72 (DAOA) on Visual Learning of Patients | NDT - Dove Medical Press

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The Lost Family: How genetic info is used to solve crimes – Fast Company

March 20th, 2020 8:46 pm

In her new book The Lost Family: How DNA Testing Is Upending Who We Are, journalist Libby Copeland looks at how home DNA testing has implications for families, for law enforcement, and for how we understand our own privacy and interconnectedness. The mail-in spit kits Copeland writes about are sometimes known as recreational, to distinguish them from the genetic tests ordered by doctors, yet the technologys repercussions can be far more than recreational. This excerpt, from a chapter exploring the use of quasi-public DNA databases like GEDmatch and FamilyTreeDNA to solve violent crimes and identify culprits including the alleged Golden State Killer, explores the tension between privacy and public safety.

The use of genetic information to solve crimes, however worthy, has to be balanced with legitimate concerns on the side of protecting privacy, computational biologist and MyHeritage chief science officer Yaniv Erlich told me. The problem is one of trust. Genetic information is essential if you want to advance precision medicine, he said. We have families, some of them I know personally, that genetics was able to help, to identify the cause of serious conditions. But what if people were to stop trusting researchers to keep their information safe? If we cannot recruit tens of thousands, maybe hundreds of thousands of people for these studies, we cannot help these people, Erlich said. We cannot use the power of the genetic revolution to empower our understanding. And thats a huge missed opportunity.

This erosion of trust may already be happening. As far back as early 2019, 23andMe co-founder and CEO Anne Wojcicki said the market for her product had slowed, speculating that this might have to do with broader privacy concerns stemming from things like the Golden State Killer case and Facebooks dicey data-collection practices. Some observers have suggested that the lack of privacy protections around genetic data may disproportionately affect minorities, and I heard a number of accounts of African Americans quitting GEDmatch after it became clear that police had used it to help identify Golden State Killer suspect Joseph James DeAngelo.

And, of course, concerns about how we protect our genetic information extend beyond the context of recreational testing. Some experts worry about the increasing use by police of Rapid DNA machines, which can process samples in ninety minutes, and which they fear poses the possibility of errors and privacy violations. There are serious concerns about DNA testing on migrants. And all of this is taking place within the broader context of what legal scholar Andelka Phillips calls ever-increasing monitoring, where we are all subject to complex data mining and profiling. The problem, Phillips says, is that its difficult to imagine how data from direct-to-consumer testing may in the future be linked with other data and used in ways we cant anticipate.

It might, in theory, be used by some future totalitarian government to discriminate against its citizens. This may seem implausible, except that the day I spoke with Erlichand asked him if he could imagine a future world in which our ancestral backgrounds could be used to hurt us, and he said he didnt need to project into the future because I can go to the historyon that same day, the New York Times ran a story about how Chinese authorities were using DNA as part of a campaign of surveillance and oppression against the countrys ethnic minority Uighurs.

Journalist Kristen V. Brown has thought a lot about big data and unintended consequences. In 2015, she covered the hack of the website Ashley Madison, an online dating service geared at people who wanted to cheat on their partners. Life is short. Have an affair, the sites slogan went. Brown wanted to know how the hack and subsequent exposure of the sites users personal information had changed their lives, so she interviewed more than one hundred people impacted by it and learned about divorces, blackmail, and suicides. Its easy to assume that if you dont cheat on your spouse, you dont need to worry about this sort of thing, and that if you do cheat, well, you deserve what you get. But Brown thought the incident had broader implications. She was fascinated by a concept from Georgetown Law professor Paul Ohm that we are all at the mercy of the massive troves of data that businesses collect and keep on us, and that somewhere amid all that information, every one of us has a devastating secret. Ohm called this eventual, interconnected treasure trove of information the database of ruin, and he urged in a 2012 Harvard Business Review article, Please dont build this.

This idea stuck with Brown, and when she started covering consumer DNA testing, she saw how this new technology fit the paradigm. I was like, Oh my god, our genomes have now become databases of ruin. Its just another piece of data that can be incriminating, she says. I think were at the beginning of living in a time where you cant really keep secrets anymore. And how does that change how we go about the world and our daily lives?

How does it? Were such bad prognosticators. Historian Melvin Kranzberg once wrote that technology is neither good nor bad, nor is it neutral, by which he meant technologies play out in vastly different ways depending on the context, and that we often lack the ability to anticipate how they will change our lives.

Just over a year after Joseph James DeAngelo was arrested, the rush to what legal scholar Natalie Ram has called a de facto national DNA database abruptly slowed. After a seventy-one-year-old woman in Utah was attacked and choked into unconsciousness as she was practicing the organ in her church, GEDmatch co-founder Curtis Rogers made an exception to the sites policy that law enforcement access the database only for murders and sexual assaults, and allowed police in to help solve a case he described as as close to a homicide as you can get. In the ensuing controversy over the site unilaterally making an exception to its terms of service, GEDmatch decided to expand the definition of violent crimes that law enforcement matching could be used forand to automatically opt all its users information out of being available to law enforcement. If people wanted their genetic information used in this way, Rogers decided, they needed to proactively choose it. Overnight, the database of people that investigative genetic genealogists like CeCe Moore (working for a company called Parabon) and Barbara Rae-Venter (whod helped solve the Golden State Killer case) could access to help police narrow in on suspects went from about a million to zero. Moore called it a setback for justice.

When I spoke with Rae-Venter a few weeks after GEDmatchs decision, she told me she was hopeful that a growing opt-in movement would eventually make the database a destination for law enforcement matching again. By then tens of thousands of people had logged into GED-match to request that their genetic information be used to solve crimes. In the meantime, she said, she was still able to use the FamilyTreeDNA database for investigations. Some months later, FamilyTreeDNA announced a new investigative genetic genealogy unit to rival the one Moore was heading at Parabon, this one headed by Rae-Venter. And then the New York Times reported that a Florida detective had obtained a warrant giving him permission to search all of GEDmatchs database, including data from the majority of users who hadnt consented to being involved in criminal investigations. The judges decision to grant this order was a game-changer, experts told the paper; it would likely embolden other agencies to seek similar warrants for huge companies like Ancestry and 23andMe, potentially turning all genetic databases into law enforcement databases.

DNA revelations mean that an alleged sadistic serial murderer named Joseph James DeAngelo is behind bars, but they also mean that you could be implicated in the arrest of a relative. It means that an adoptee can find her parents, and it also means that a family can find out that decades before, a man cheated on his wife and produced a childwhich could be good for that child and bad for that wife and a mixed blessing for that man. Perhaps consumer genomics means we are all on guard waiting for the other shoe to drop, or perhaps it means that we are all forced to be more honest with each other. One of the central conundrums of spitting into a tube is the way one persons rights so often collide with anothers after the tube is sealed and sent in.

Excerpt from the new book The Lost Family: How DNA Testing Is Upending Who We Areby Libby Copeland by Abrams Press 2020 Libby Copeland

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The Lost Family: How genetic info is used to solve crimes - Fast Company

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Is Hydroxychloroquine the Answer to the Coronavirus Pandemic? Inside the Race to Find A COVID-19 Cure – Newsweek

March 20th, 2020 8:46 pm

Long before the coronavirus began to spread beyond China, infectious disease experts around the world knew there was ample reason to fear it. Not only was the pathogen highly contagious and lethal, it was also newscientists had written no medical papers on it, doctors had no vaccines or pills to give their patients. The most effective tools we have, at the moment, are public health measures out of the 19th century such as quarantines and social distancing.

The emergence of Severe Acute Respiratory Syndrome Coronavirus 2019, or SARS CoV-2, has made plain our vulnerability to a novel pathogen. An estimated 160 million to 214 million people in the United States could be infected over the course of the epidemic, by some estimates. Fatalities could run from 200,000 to 1.7 million people, according to the CDC, and into the tens of millions worldwide.

The lack of treatments is a startling contrast to the sophistication of current medical science, which is in something of a golden age of genomics, machine learning and big data. The coronavirus has caught us flat-footed. Yet, at the same time, it has underscored how far the tools of medicine have evolved in recent years. Just days after local infectious disease experts sent virus samples taken from two patients infected with a suspicious form or pneumonia to the Wuhan Institute of Virology, a world-renowned research laboratory, for analysis, scientists had sequenced the newly emergent pathogen's RNA and uploaded its entire 30,000-nucleotide genetic code to the cloud.

Across the globe, scientists downloaded it and began to isolate antibodies. Virologists and computational biologists used machine learning tools to analyze its structure and search for existing drugs that might work against it. Pathologists applied the tools of molecular biology to search for vulnerabilities in the virus' armor of protein. "The pace of the scientific research has been really at a breathtaking speed," says Angela Rasmussen, a virologist and research scientist at Columbia University. "It's unprecedented."

As the caseload continues to rise exponentially in the U.S. and other parts of the world, scientists are racing to find antiviral drugs that are effective in alleviating the worst ravages of the disease, a devastating pneumonia that affects an alarmingly high number of patients. The goal is to give doctors a broader range of weapons in the weeks and months ahead, and save lives.

Rapid response

In recent years, technologies that allow rapid sequencing of genetic material have become standard equipment in most top research laboratories. Because of these tools, scientists were able to state with relative confidence that the current virus is closely related to the SARS coronavirus that hit in 2003, as well as very closely related to a bat coronavirus found in a cave in Yunnan, China, back in 2017. With this knowledge, scientists dusted off the files from that outbreak and picked up where other scientists left off.

Rapid genome sequencing didn't merely allow researchers to publish the full SARS-CoV-2 sequence in days, as opposed to months in the case of the SARS genome in 2003. It also allowed scientists to sequence strains of the virus in Washington State, New York City, Italy and other parts of the world, which they are using to piece together a kind of SARS-CoV-2 ancestry registrya detailed map of how the virus spread and mutated.

Scientists used this information to trace the progress of the virus and estimate how many people have been exposed in any given area, which informed the public health response. "We know from sequencing some of the more recent Seattle viruses, that those viruses were probably derived from the first patient who came to the U.S. with coronavirus in mid-January," says Rasmussen, who noted at the time that the Seattle area had an estimated 6,500 cases.

Tracking the virus in this way helped public health workers conclude early on that the virus was unusually contagious, which informed emergency planning in China, Italy and elsewhere. The most urgent task, of course, is to keep intensive-care wards from being overwhelmed by patients in respiratory distress. For the most critically ill patients, COVID-19 attacks the lungs, triggering the immune system to create a thick soup of white blood cells and other immune agents that flood the lungs. In the most severe cases, this immune response clogs up air cavities critical for transferring oxygen from the air to the body, greatly reducing lung capacity.

To survive, these patients require mechanical ventilators, which can force higher concentrations of oxygen into the parts of the lungs that are still functioning, allowing them to rest, recover and preserve precious energy needed to outlast the viral attack. But ventilators are in dangerously short supply. For instance, fewer than one-tenth of the 925,000 hospital beds in the U.S. are equipped for critically ill patients, who could number between 2.4 million to 21 million people in the United States, say estimates.

Antiviral medication could shorten the time patients need to be on ventilatorsand perhaps prevent many of them from needing one in the first place. One of the most promising ideas is to develop new drugs that can attenuate the immune response to keep the lungs functioning adequately. Doctors in the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital) and Anhui Fuyang Second People's Hospital In China used , a drug developed by Chugai, a Japanese company, originally to treat rheumatoid arthritis, on 21 critically ill patients.

Within a few days, the fever returned to normal and all other symptoms improved "remarkably," according to a paper on the study published soon after. Fifteen of the 21 patients had lowered their oxygen intake and one patient needed no oxygen therapy. CT scans revealed that the lung function improved in 19 patients of the 21 patients, and the abnormal percentage of white blood cells found in 17 of the 21 patients before treatment returned to normal in 10 within five days. Nineteen of those treated had been released within two weeks, and the other two were reported to be "recovering well."

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Regeneron Pharmaceutical, a firm based in Tarrytown, New York, believes its rheumatoid arthritis drug kevzara would be similarly effective in treating critically ill patients. The drug consists of antibodies that bind to and inactivate the tiny protein molecules on the surface of the body's immune cells known as interleukin 6 that play a role in amplifying an immune response.

"People are dying because they are losing the ability to breathebecause their lungs are filling with inflammation," says George D. Yancopoulos, Regeneron's President and Chief Scientific Officer. "That's what's happening. That's a fact. The question is, what's causing the inflammation? If you shut that off, basically the lungs calm down, the cells leave the lung and they are also not making all this bad stuff."

Regeneron is currently talking with the FDA and the U.S. Department of Health and Human Services about fast-tracking clinical trials. It is enrolling 400 patients hospitalized for COVID-19. If all goes well, it could reach a verdict on the treatment in the next month or two. The company already has produced enough of the medicine to treat tens of thousands of severely affected patients, says Yancopoulos. Sanofi, which has the license to distribute the drug outside the U.S., is initiating similar trials in Europe.

Regeneron is also looking into using novel monoclonal antibodies as a potential weapon against COVID-19. These are custom-made proteins designed by the immune system specifically to bind to and neutralize the virus. Regeneron is using mice that have been genetically engineered to produce antibodies that could be used in the human body. The company has already exposed these "VelociMice" to the COVID-19 virus and extracted thousands of antibodies, and is now screening them for potential effectiveness against COVID-19, and identified a few of the most potent antibodies. It will then mass-produce them by growing them inside cell lines incubated in huge "bioreactors," engineered to promote maximum reproduction.

Christos Kyratsous, Regeneron's vice president for research, says it will take about four months to go from picking the most potent antibodies to producing enough cells to provide the tens of thousands of liters of medicine needed to make the drug widely available to those suffering from COVID-19 in the U.S., leading to hopes by some on the front lines that a new custom-made medication could be in place by the end of August.

Other experimental efforts are aimed at helping patients fight off the infection itself. In mid-March, immunologists and medical professionals at Johns Hopkins University submitted plans to the university's institutional review board and the FDA to extract antibodies from the blood of patients who have already recovered from COVID-19, says Arturo Casadevall, an immunologist and infectious disease expert at Johns Hopkins School of Medicine. The idea is to infuse new patients with antibodies filtered out of the blood of patients who have already successfully fought off the infection.

Doctors facing pandemics have used a similar strategy to combat infectious diseases for more than a century, including the 1918 flu. But this time, the approach has a modern twist. Casadevall and his colleagues plan to rely on methods and equipment that hospitals already have in place in blood banks, such as machines that currently remove antibodies from the blood of patients with autoimmune diseases, to prevent their bodies from attacking their own cells. (The blood is usually reinfused into their bodies to prevent anemia). These same machines could be used instead to extract antibodies from COVID-19 survivors. Scientists would test the antibodies to find the most potent ones and then administer them to sick patients or medical personnel in need of protection. This method could be deployed in cities around the nation, or around the globeanywhere where blood baking facilities exist. And Casadevall says he has been in contact with health officials at the Mayo Clinic, in New York City and elsewhere, who are considering taking similar measures.

Although the approach would not immediately yield a drug that could be mass produced, it could serve as a stop-gap treatment, he says, until new drugs, like those being developed by Regeneron, come online. "We can put this in place and we can provide people something more than a respirator to provide oxygen," says Casadevall.

A team that included Hopkins infectious disease experts, blood-banking officials and regulatory personnel has been holding regular conference calls. The team is now testing blood samples and developing a plan to deploy the approach throughout Baltimore. He expects that the first filtered antibodies could be fielded by the beginning of April, in time for a "second wave" of patients to hit the hospitals. The approach, already in use in China, could become widespread in the U.S.

The kitchen sink

Doctors on the front lines of the battle in China, Italy and elsewhere have identified other potential treatments by taking a "kitchen sink" approach that uses every available tool to defeat the virus. Because the outbreak is so recent, solid data isn't available on these kinds of measures, but doctors have given favorable anecdotal reports and have administered scores of ad-hoc trials.

The most promising and widely discussed is remdesivir, a broad-spectrum antiviral drug produced by Gilead. Developed originally to treat Ebola patients, remdesivir works by blocking an enzyme that is crucial for the ability of the viruses to reproduce. The drug did not prove effective for Ebola, but trials demonstrated that it did not have serious side effects. Subsequent studies on non-human primates suggest that the drug is effective against coronavirusesspecifically, Middle East Respiratory Syndrome, or MERswhich has given some public health officials cause for optimism.

"There's only one drug right now that we think may have real efficacy, and that's remdesivir," said Bruce Aylward, a senior advisor and international leader of the World Health Organization's joint mission to China, at a Feb. 24 press conference.

Clinical trials to test the drug are already underway in the U.S. and in China's Hubai province. Preliminary results from the first of those studies are expected as soon as April, says Gilead. Gilead is also in the process of enrolling about 1,000 patients, mostly in counties that have already had high numbers of diagnosed cases, in a trial to evaluate the drug given intravenously.So-called protease inhibitors have also emerged as potential candidates to treat COVID-19. These antiviral drugs, developed during the HIV/AIDS crisis, act on the enzyme protease, which plays a vital role in the ability of HIV to replicate inside the cells that it infects (it chops up big protein molecules into smaller ones). By inhibiting the action of protease, the drugs prevent the progress of an HIV infection, keeping AIDS from developing. Since then, researchers have also developed modified protease inhibitors to fight hepatitis C and other viruses.Coronaviruses like SARS-CoV-2 also use a type of protease during replication, but the virus is different enough that HIV antivirals may not be effective. Research is ongoing to find out.

The antimalarial drug chloroquine, and its derivative, hydroxychloroquine, are also candidates for COVID-19 treatments. Researchers first began testing their ability to halt the spread of viruses during the battle against AIDS. The drugs are designed to interfere with "endocytosis," the process by which a virus or other microbe enters a cell. They have since been shown to have some success in the lab against a wide range of viral diseases including the common cold and the SARS virus. On March 16, Chinese public health officials announced that a clinical trial at 10 hospitals in Beijing, Guangdong and Hunan Provinces involving more than 100 patients showed a positive effectpatients who took chloroquine were more likely to show a reduction in fever, showed clearer lungs on CT scans and reduced the amount of time to recover.More treatments will emerge as doctors and scientists on the front lines continue to try new drugs. For instance, in March, a Chinese official said that the drug favipiravir, developed by Fujifilm Toyama Chemical as an influenza drug, showed positive results for COVID-19 patients in trials in Wuhan and Shenzen.

Scaling up

There are many obstacles to getting a treatment out of the lab and into the hospital. First, clinical trials must show that the drugs work safely, and many drugs typically fail this test. A cocktail of the HIV drugs lopinavir and ritonavir, which were being tested in China, was reported to have no benefit to patients. The effectiveness of HIV drugs against COVID-19 remains largely anecdotal and unproven. And choloquine in high doses can prove toxic.

Once a drug is proved safe and effective, getting it to millions of patients around the world requires a massive manufacturing capacity. Ramping up can take months, says Prashant Yadav, a visiting fellow at the Center for Global Development and an expert on healthcare supply chains. For instance, he estimates it would likely take six months to a year to sufficiently ramp up production to meet the potential global demand for remdesivir, should it prove effective and safe.Given the urgent need for new drugs around the world, some public health officials have called for new protocols to determine who will decide how to allocate limited supply. There would have to be a way of coordinating the supply of drugs, with clear roles and responsibilities for fast-tracking treatments. This would involve an unprecedented level of coordination among the World Health Organization, organizations that finance global health measures, supply-chain experts in the pharmaceutical companies and governments. Once a country has obtained a drug, the government together with private health care organizations and drug companies have to fast-track distribution of the drugs.

"Can governments and global agencies make extremely fast decisions in the complex and somewhat uncertain environment?" asks Yadav. "How do we run a supply system so that every hospital that orders it can get sufficient supply? It's a capacity rationing problem: someone has to decide how much of demand will we need for existing supply. And as we know, rationing decisions bring out the worst in terms of global coordination and local and national politics. And if a company has never sold much in Africa then they will have to start from scratch."

Long-term fix

Anti-viral treatments can hopefully keep people from dying from COVID-19, but the best long-term hope to control the disease is a vaccine. The typical timeline for vaccine development is 12 to 18 months. The most promising and advanced is mRNA1273, which is being developed by Moderna, a Boston company. In mid-March, Kaiser Permanente Washington Health Research Institute began a safety and dosing trial in which 45 young, healthy volunteers will receive different doses of the vaccine.

Other efforts include INO-4800, a vaccine being developed by Pennsylvania-based Inovio Pharmaceuticals; a vaccine based on previous work against the Avian coronavirus from MIGAL Research Institute in Israel; a company called Heat Biologics, which already has a cancer vaccine in clinical trials, as well as efforts in early stages from Johnson and Johnson, Pfizer and GSK.Few doubt that at least some of these efforts, and many others like them, will eventually result in effective treatments. How long that will take depends on a lot of hard work and some luck. "Against all odds, we figured out to mass produce penicillin, we beat polio and smallpox," Dr. Peter Jay Hotez professor and dean of the National School of Tropical Medicine at Baylor College of Medicine in Houston. "It's unfortunate we have to wait until things got so dire to focus on the needs of the world, but I think we are there now."

Correction, 3/20/2020, 10:34 am: This story was changed to reflect the fact that Regeneron trials for Kevzara are starting with 400 patients, not a few as previously reported.

Correction, 3/20/2020, 1:35 pm: The drug chloroquine works by interfering with endocytosis, the process by which a virus enters a cell, not exocytosis as previously reported; the story has been modified to correct the error.

Correction, 3/20/2020, 2:32 pm: The COVID-19 virus has 30,000 nucleotides of RNA, not 3 billion of DNA as previously reported; this has been corrected in the story.

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Staying ahead in the era of precision medicine – PMLiVE

March 20th, 2020 8:46 pm

The potential for precision medicine is evident. It is one of the most exciting things happening in the healthcare sector. Science and technology advances have made precision medicine no longer an obsession or a dream, its become a reality and will become the mainstream in the future of healthcare, according to our advisory board Co-Chair Dr Zhen Su, Head of Merck KGaAs global oncology franchise. This notion that no one size fits all has long been an interest and passion for many healthcare providers.

This potential is reinforced by Dr Martin Murphy, CEO Roundtable on Cancer: Simply put, it means the future of anybody (with cancer) is embodied in the development of more precise means of diagnoses and then properly treating those with the disease. Its revolutionary and its evolutionary.

While it is most advanced in oncology, precision medicine has wider, exciting applications beyond oncology and late-stage disease, such as rheumatology, and rare and genetic diseases. We are also seeing many innovative initiatives and partnerships develop in this field. For example, Lung-MAP, a large-scale umbrella trial in non-small cell lung cancer, was one of the first to involve partnerships between several groups including the FDA, NCI, advocacy groups and the pharmaceutical industry. At

the same time, we are seeing companies like Flatiron Health using real-world data to learn from patients who are not in clinical trials.There are also important advances in the sharing of data, eg Project Data Sphere, which is an important platform that provides researchers with open-access and analytic tools to use when working with data sets from large clinical trials.

Technology is also moving and being applied at pace: wearable devices such as smart watches, computerised pill bottles and other tools are being evaluated as potentially robust sources of patient-reported data. There are also exciting and much-needed opportunities for patients to play an increasing role in the future, eg patients providing valuable insights into the design of clinical trials will lead to secondary endpoints that are most meaningful for patients themselves rather than for the researchers.

...But what are the barriers?

The challenges around precision medicine are illustrated perfectly by looking at lung cancer as an example: treatments such as chemotherapy and radiation were once fairly standard and broadly applied without much distinction between different patients. However, what was once homogeneous has now become heterogeneous.

Different tumour subtypes have been identified, and exciting advances such as next-generation sequencing (NGS) of tumour DNA can more precisely define key characteristics of an individuals cancer.

Suddenly, one treatment option turns into many, and physicians, particularly those at the community level, struggle to keep up and find it difficult to choose or sequence options.

In addition to new technologies such as NGS, we are seeing the advent of novel trial designs (such as basket trials), and many practising physicians may not understand how to apply or contextualise the resulting data. In addition, the ways that clinical trial data and real-world data complement each other may not be clear, not only to physicians but also to regulatory authorities.

As expressed by Professor George Demetri of the Dana- Farber Cancer Institute and Harvard Medical School: Theres a remarkable need for better communications, both about and around the issues in precision medicine. Because the field is moving so fast, physicians who trained two years ago may not know whats happening today. They have to keep up. Communicating this is almost impossible through standard medical education channels.

Alongside these challenges, there are other barriers to contend with. A lack of public awareness and education may hinder trial recruitment, as patients may not understand the role of trials and may view getting the standard therapy as undesirable.

Additional barriers to participation in clinical trials may also include the lack of a centralised system to match patients to trials and geographic disparities (eg urban versus rural). Beyond the trial setting, perceptions about the efficacy of a drug and logistical barriers such as the lack of technical expertise or centralised technology, and the lack of coverage by insurance companies can limit the use of new therapies in clinical practice.

Finally, patient privacy and ethical considerations become more acute as greater volumes of personal genetic data are generated through clinical evaluations.

Call to action: what can healthcare communication specialists do to help?

Our advisors all felt passionately that we will only overcome the barriers by developing and supporting communication and education efforts to help patients (and expert caregivers, including physicians, nurses and others) to understand precision medicine and the role of clinical trials in healthcare.

The top ten specific needs identified by our advisors include:

Whats next for the McCann Health Global Scientific Council in precision medicine?

We are committed to continuing scientific exchange and public dialogue in this important area of medicine. As outlined by our Global Medical Director and Co-Chair of our Advisory Board, Dan Carucci: Precision medicine is the future of medicine and we as professional health communicators have to stay at the cutting edge so we can help our clients navigate this difficult space.

With the ongoing support of our advisors, we will continue to communicate that precision medicine is integral to healthcare reform. Dr Su is clear: There is an enormous need around how we communicate in a clean, clear and trustworthy manner to enable (physicians) to master new treatments and new technology to better select patients and better provide treatment.

Dr Donna Graham, Medical Oncology Consultant at The Christie NHS Foundation Trust is in agreement with this: Communication between oncologists and their patients is absolutely critical. There are so many complex issues for patients to grasp in terms of treatments that are available and how certain genomic abnormalities may affect their cancer, their prognosis and their outcomes. Communications companies can really help to try to bridge that gap.

In line with our mission to make a meaningful difference in healthcare communications and ultimately to patients, we plan to reconveneour advisors in 2020.

Our aim is to ensure that all our internal team members strengthen their precision medicine expertise, while focusing on the development of external and peer-reviewed communications and tangible tools to benefit the wider medical and patient community. Our call to action will continue as we move to improve the understanding, application and opportunities of precision medicine.

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Once and for All, the New Coronavirus Was Not Made in a Lab – VICE

March 20th, 2020 8:46 pm

On January 30, Arkansas senator Tom Cotton tweeted that although he didnt know where the novel coronavirus, SARS-CoV-2, originated, he wanted to point out that "Wuhan has Chinas only biosafety level-four super laboratory that works with the worlds most deadly pathogens to include, yes, coronavirus.

He was implying, as other conspiracy theorists have continued to do, that the new virus was intentionally made and released (ignoring the fact there are many "level-four super laboratories" around the world). Politicians, including Donald Trump, continue to call SARS-CoV-2 the Chinese virus or Wuhan Virus.

But the origins of viruses, and how they come to infect humans, are almost always more complicated than a couple of evil geniuses secretly creating infectious killers. Viruses mutate constantly, playing the equivalent of a genetic slot machine until they chance upon the winning genetic sequences to allow them to jump from animals into humans, and be infectious enough to spread their genetic information far and wide.

While theres still so much uncertainty about the COVID-19 pandemichow long it will last, what treatment options might work, when a vaccine will arrive, there are actually a lot of things that we do know about the virus, through genetics and structural biologyincluding where it came from.

In a new paper in Nature Medicine, scientists from the U.S., Australia, and the U.K. analyzed the virus closelyoutlining its likely origins and exactly how and why it seems to be more infectious than previous coronaviruses, like SARS or MERS. Their research also provides a resolution to the made-in-a-lab speculation. Kristian Andersen, an associate professor of immunology and microbiology at Scripps Research, said in a press release: We can firmly determine that SARS-CoV-2 originated through natural processes."

You can tell a lot about a virus from its genomewhat kind of virus it is, and how closely related it is to viruses you already know about. The genetic sequence to SARS-CoV-2 was made available very quickly by Chinese scientists, allowing researchers all over the world to see what made the new virus tick.

Coronaviruses get their name from spikes that cover their surface that look a bit like the suns corona. Those spikes are key to how the virus infects a human cell and two integral parts of the new viruss spikes are slightly different from those of previous coronaviruses. These differences could help us understand how its spreading farther and infecting more people.

The first change is in the receptor-binding domain. This is part of the spike that binds to a human cellfor this virus it attaches to ACE-2, a cell membrane enzyme that regulates blood pressure.

We already knew that the 2003 SARS binding could bind pretty tightly to ACE-2. But in a Science paper this month, researchers using cryo-electron microscopy revealed that the new viruss spike was better. It binds to the ACE-2 receptor 10 times more tightly than a SARS virus does. This difference is made possible by small variations in structure to the receptor binding domain.

The second adaptation in the new coronavirus is a part of the spike called the cleavage site. The spike is a folded up-bundle, and it has to be cleaved, or cut, in a specific place to pop open, like releasing a spring. After being cleaved, the spike is used to grab onto a human cell.

The cleavage site is made up of small amino acid sequences that are recognized by cellular enzymes called proteases, enlisted to do the cutting. These molecular scissors are different for each coronavirus. SARS-CoV-2's cleavage site is made of amino acids that attract an enzyme called furin. Our bodies make furin in a lot of different tissues, but in particular, in the upper respiratory and lower respiratory tract.

When a virus has a cleavage site that attracts furin to do the cutting, it becomes more dangerous. To compare, influenza viruses are often cleaved and activated by enzymes called trypsin, "which are typically restricted to certain tissues and organs," said Jean Millet, a microbiologist at the Molecular Virology and Immunology unit of INRAE, located in France, who wasn't involved in the paper.

Experiments with avian influenza virus have shown that if they evolve a furin cleavage site, they become much more infectious. Having a furin cleavage site means that the virus is able to replicate more, and in different tissues. It can easily go into the lower respiratory tract. It may be one of the reasons that people develop pneumoniathough this hasnt been proven for certain.

Seeing that in the new SARS-CoV-2 when those sequences came out for the first time actually kept me up all night, said Bob Garry, an assistant professor of microbiology and immunology at Tulane University School of Medicine and co-author of the Nature paper.

These changes may be alarming, but they're also how we know this virus wasn't designed in the lab. Simply put, the adaptationsspecifically the binding to ACE2are just too good for a human to have come up with it.

Computer programs that scientists use to model the interactions between a virus's spike and ACE-2 dont predict that the receptor SARS-CoV-2 has would work very well. And yet, it doesas Wrapp found, 10 times better. Its an indication that the alterations in the binding were selected for through natural selection, not genetic engineering.

You couldn't predict that with any computer program, Garry said. Nature usually is better at doing things than we can figure out with a computer these days. That's pretty good evidence that this virus did evolve to bind to human ACE-2 on its own. Nobody helped it. If somebody had designed it, they would have used a different solution.

I asked if there was any possibility some evil-genius person out there, with a different computer algorithm, could have come up with it. Like in the comic books? It doesnt seem likely, Garry said.

"This is a convincing argument," Millet confirmed. "SARS-CoV and SARS-CoV-2 do bind the same receptor but they do so in different ways that is most likely through an evolutionary process whereby each virus has 'figured out' different ways to do so...This goes against the notion that someone or a group would have intentionally used the SARS-CoV sequence to generate a new virus."

Additionally, if someone wanted to make a coronavirus, they would use another virus as a building block, Garry said. But the virus that is closest to SARS-CoV-2 is a bat virus that wasnt discovered until after the outbreak. There's no evidence from the SARS-CoV-2 genome that any other virus was used as a backbone to make something new.

Viruses mutate at a steady rate, and so as they spread, researchers can look at how many adaptations they've acquired and count back in time to figure out when it appeared. Co-author Andrew Rambaut, professor of Molecular Evolution at University of Edinburgh, did this, and found that SARS-CoV-2 sprung up in humans in either late November or early Decemberwhich makes sense given it was December 31 that Chinese authorities told the World Health Organization about the outbreak.

That's the "when," but it doesnt tell us where exactly it came from. In the SARS epidemic from the early 2000s, the virus transferred directly from a civet cat to humans. It didnt have to adapt, Garry said. It was already good to go. With MERS, it was a similar storythe same virus that infected camels got passed to humans.

SARS and MERS didnt transmit between people as well as the new coronavirus does. That could be because SARS-CoV-2 has adapted more to humansmeaning it didnt just jump from an animal, but first adapted to infect us better. I could be proven wrong tomorrow," Garry said. "Somebody could find an animal out there that has a virus that's identical to SARS-CoV-2. I don't think that's going to happen."

The closest virus to the new coronavirus is a bat virus, RaTG13, which is 96 percent similar. Yet its missing one crucial thing: its spike has a different receptor binding domain, not the defining one that SARS-CoV-2 has. Intriguingly, another recently discovered virus, from the pangolin, a scaly anteater, is less like SARS-CoV-2 overall, but does have a strongly similar receptor binding domain.

Garry said that because of this, he and his co-authors think its possible that SARS-CoV-2 is a recombinant virus, meaning its a combination of two different viruses that shared their genetic information. This is like a couple moving in together and combining their kitchen appliances. Suddenly they have access to tools they didnt beforea Vitamix and a food processor. A coronavirus might have been able to gain the enhanced receptor binding and then mutated further until genetic luck brought it the furin cleavage site.

What we dont know is the specifics of where or when this recombination and other mutation occurred. It could have happened while the virus was still in an animalthen, after the furin cleavage adaptation, it was able to jump into humans and spread rapidly afterwards. Another possibility is that a previous non-pathogenic version of the virus was circulating in people for some time before the mutation at the cleavage site occurred and it started spreading rapidly. What we can say is that it's more complicated than just a "Chinese" or "Wuhan" disease. It's a virus that has changed and mutated many times, possibly from different animal sources, or within our own bodies, and with genetic good fortune, happened upon the right adaptations to take hold.

We wont know the virus's origins for sure until we have more data, but the answer could be a predictor of whats to come. If SARS-CoV-2 achieved its adaptations in animals, there's more of a risk for future similar outbreaks. If it adapted while already in humans, it's less likely those same mutations will happen againjust based on probability. Either way, we learn more about the many ways viruses make it into our lives.

The significance is that now we know that there's a new way you can get a pathogenic coronavirus through recombination," Garry said. "Spread or passage doesn't have to be a direct jump from an animal."

Figuring out the origins of SARS-CoV-2 and how it works will be important the next time another new coronavirus emerges.

If we can understand what types of coronaviruseswith what types of featuresare in animals now, it would make it easier to look at a virus's genome sequence and determine where it got its features from, or how its spike might bind to our cells. One way to do this would be to start gathering information about the coronaviruses that are in many kinds of animals now. Bat coronaviruses, for example, are incredibly under-sampled, Garry said. We know that the diversity of coronaviruses in bats is a lot more than what we know about right now. Just figuring that out would be important.

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What the Coronavirus Does to the Body – Discover Magazine

March 20th, 2020 8:46 pm

As the novel coronavirus infection known as COVID-19 continues to spread across the world the number of confirmed cases in the U.S. crossed 15,000 on Friday governments have made incredible efforts to limit the pandemics overall reach.

Yet there is also much uncertainty, and a fair amount of unscientific speculation, about the virus and its effects on peoples bodies. And some of COVID-19s reported symptoms, like fever, cough and shortness of breath, overlap with those of everyday illnesses like strep throat, flu and the common cold.

Carl Fichtenbaum, an infectious disease specialist and professor of clinical medicine at the University of Cincinnati College of Medicine, says theres still much that scientists dont understand about how exactly this virus causes problems. Its very new, and were still trying to unravel it a little bit, he says.

Heres what some researchers and clinicians have learned so far about what the COVID-19 infection does to the body.

The virus that causes COVID-19 is transmitted through tiny, invisible droplets sent into the air when someone already infected coughs or sneezes. Those droplets can then be taken in by people nearby or land on surfaces that others touch, potentially passing viral particles from their hands to their eyes, nose or mouth. Generally, a person will either get it on their hands or occasionally inhale it in their mouth or nose, says Fichtenbaum.

Once inhaled into the back of your throat and nasal passages, the viral particles bind to a type of receptor on the surface of cells. These particles are studded with jagged proteins shaped like spikes, which Fichtenbaum describes as a key capable of opening the locked door of the cell receptor. Those proteins attach to the receptors and the virus is able to begin the process of getting inside and replicating, says Fichtenbaum.

Like any other life form, it just wants to survive, he says.

In order to do that, the virus needs to first copy itself. Once attached to cells, it spills its genetic material, or RNA, inside. Afterward, the virus takes over the cells metabolism to create replication factories to make more copies of its RNA. Its essentially stealing resources from the host cell, says Robert Kirchdoerfer, a biochemist at the University of Wisconsin-Madison who studies coronaviruses.

As the virus multiplies, it prompts an immune response in the body. [The immune system] says, We dont like this thing and we want to get rid of it, says Fichtenbaum. Once that battle occurs, he continues, people start to develop symptoms as previously healthy tissue becomes damaged and inflamed. These symptoms include a sore throat, runny nose, sneezing, coughing and, sometimes, fever. If the virus passes low enough and gets into our lungs, we can develop pneumonia, which leads to shortness of breath and chest pain, adds Fichtenbaum.

For the bulk of the population, explains Fichtenbaum, this period of injury will be followed by a recovery period. Most people will get better from it, he says. At the same time, the Centers for Disease Control and Prevention cautions that older adults and those with serious, preexisting medical conditions like heart disease, diabetes and lung disease are at greater risk of becoming severely ill if they become infected.

Thats not to say that everyone with those problems is going to have a bad time, adds Fichtenbaum. Its just that theyre more likely than an otherwise healthy person to have a worse case.

The lungs arent the only part of the body that can be affected by the virus. Fichtenbaum says that in some people, the infection can cause the heart to beat at irregular intervals and pump less powerfully, potentially leading to heart failure. Sometimes people can have neurologic problems [like] dizziness or weakness in an arm or a leg, he says. And some confusion can occur because our brain is just not functioning as well as it should be.

Because the virus can be swallowed, it can also infect cells in our gut. Since the outbreak of the virus last December, digestive problems have been a common complaint among those infected. The CDC reported that genetic material from the virus has been found in blood and stool samples.

And new research suggests that diarrhea and other gastrointestinal problems could be among COVID-19s first signs. According to a study published Thursday in the American Journal of Gastroenterology, nearly half of the coronavirus patients involved came to the hospital with digestive symptoms as their chief complaint. The study authors looked at data from 204 patients in Chinas Hubei province, where the outbreak originated, and found that 99 of them had symptoms such as diarrhea, vomiting and abdominal pain.

But these are still early days for research on this new coronavirus. Theres still things for us to learn, says Fichtenbaum. And, of course, wed like to understand and learn how to treat it when it is like a more serious case.

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