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Sharing our progress toward recovery

Research Summaries

Discover what the latest science from the RECOVER Initiative means for our ability to understand, diagnose, prevent, and treat Long COVID.

This page contains descriptions of findings from RECOVER research studies. These descriptions use plain language and a format that is easy to understand.

If you want to learn more about the scientific discoveries described here, you can also browse and search the complete list of RECOVER Publications.

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Research Summary
EHR Adult Health Disparities

Khullar, D; Zhang, Y; Zang, C; et al., Journal of General Internal Medicine

RECOVER researchers wanted to learn more about racial and ethnic differences in Long COVID. Researchers used patients’ electronic health records (EHRs) to compare people who had COVID-19 based on their race or ethnicity, whether they were hospitalized due to COVID-19, and whether they had any health problems related to Long COVID. They looked at data from over 60,000 adults from 5 healthcare systems.

The researchers found that Black and Hispanic adults were more likely to have symptoms of Long COVID compared to White adults – this was true for adults who were and were not hospitalized. The reason for these differences is unclear.

RECOVER researchers wanted to find environmental risk factors of Long COVID by comparing the environment of people who had Long COVID to people who didn’t have Long COVID. Environmental risk factors are things about where a person lives that raise their chance of having a health condition, such as air pollution and poor housing conditions. The researchers looked at data from electronic health records (EHRs) of more than 100,000 people in the New York City area and Florida.  

The researchers found that people who lived in areas with higher levels of air pollution, more poverty, and less access to healthy food had a higher chance of getting Long COVID. People in the New York City area had different environmental risk factors than people in Florida. 

Short Summary
EHR Adult Broad Symptoms New-onset and Pre-existing Conditions

Zang, C; Zhang, Y; Xu, J; et al., Nature Communications

RECOVER researchers analyzed electronic health records (EHR) in order to define Long COVID. Researchers found up to 25 different symptoms that patients who had COVID-19 were more likely to have than those who didn’t have COVID-19. The symptoms were related to many different organs, such as memory loss, hair loss, and feeling tired. They found that certain types of Long COVID symptoms were more likely to happen in patients who were older, had more severe COVID-19, or had more health problems before they had COVID-19. 

This research is important because the findings show that Long COVID affects many organs, and types of Long COVID symptoms differ between certain groups of patients. However, EHR findings are limited in that they can only look at data from the patients' past. In order to confirm these findings, future studies that follow patients' symptoms over time, into the future, are needed.

Short Summary
EHR Pediatric New-onset and Pre-existing Conditions

Jhaveri, R; Webb, R; Razzaghi, H; et al., Journal of the Pediatric Infectious Disease Society

RECOVER researchers explored Multisystem Inflammatory Syndrome in Children (MIS-C), a Long COVID symptom where there is inflammation (swelling) of multiple organ systems. Researchers looked to see if MIS-C can be identified and managed in the home (outpatient) instead of in the hospital (inpatient). 

An organ system is a collection of organs in your body dedicated to maintaining necessary functions. For example, your heart, arteries, and veins make up the Cardiovascular System--the system responsible for maintaining blood flow and delivering oxygen throughout the body.

Researchers were able to identify that in some patients, their MIS-C symptoms were mild enough to be treated at home and not require hospitalization. These results raise awareness that MIS-C can present in milder forms with the option to treat it at home if directed by a physician.

Short Summary
EHR Pediatric Broad Symptoms Risk Factors

Lorman, V; Rao, S; Jhaveri, R; et al., JAMIA Open

RECOVER researchers wanted to identify conditions and symptoms associated with Long COVID in children (also known as pediatric Long COVID). The researchers analyzed electronic health record (EHR) data to detect conditions and symptoms associated with pediatric Long COVID. The study identified multiple conditions and body systems associated with pediatric Long COVID related to many different organs, such as heart and lung problems. 

This research is important because these findings use a data-driven approach to detect several new or under-reported conditions and symptoms that should be studied further. Researchers believe that further study may reveal the biological processes that cause these Long COVID symptoms and conditions.

Short Summary
Review Adult

Sherif, ZA; Gomez, CR; Connors, TJ; et al., eLife

RECOVER researchers conducted a detailed review of published papers that try to explain how the COVID-19 virus causes the symptoms and conditions associated with Long COVID. Researchers compared how Long COVID is similar to other long-standing viral conditions (such as Epstein Barr virus, commonly known as Mono) to see if there is a common method used by COVID-19 and these other viral conditions to cause the associated symptoms and conditions.

RECOVER researchers believe that there is no one common method by which the COVID-19 virus causes the symptoms and conditions associated with Long COVID. Because there was no observed common method causing these Long COVID symptoms, researchers recommend that treatments are customized to each individual patient's specific symptoms and conditions.

Short Summary
Pathobiology

Margaroli, C; Benson, P; Gastanadui, MG; et al., Frontiers in Medicine

COVID-19 can damage the heart in ways that doctors are still working to understand. Some people develop heart problems during or after COVID-19 infection, including inflammation of the heart muscle. To better understand how the virus affects the heart, researchers studied heart tissue from people who died with COVID-19. They wanted to learn what happens to the blood vessels in the heart during infection. 

The research team examined heart tissue samples from autopsies using advanced techniques. These methods allowed them to see which genes were active in different parts of the tissue. They focused on cells that line the inside of blood vessels in the heart. The researchers compared tissue from 8 people who had COVID-19 to tissue from 4 people who died from other causes. They found that, in people with COVID-19, the blood vessel cells showed signs of stress and inflammation. These cells had turned on genes related to fighting infection and responding to injury. The team also found evidence of the virus itself in some heart tissue samples. 

These findings help explain why some people have heart problems after COVID-19. The virus appears to directly affect blood vessels in the heart, causing inflammation and damage. Understanding these changes at the cellular level may lead to new ways to prevent or treat heart problems in Long COVID.

Many people with COVID-19 experience brain-related symptoms like confusion, headaches, and difficulty thinking clearly. These problems can continue for months after infection as part of Long COVID. Scientists are working to understand why the virus affects the brain, even though it mainly attacks the lungs, heart, and intestines. 

Researchers studied how SARS-CoV-2 affects the cells that line tiny blood vessels in the brain. These cells form a protective barrier between blood and brain tissue. The team exposed human brain blood vessel cells and African monkey kidney blood vessel cells to live SARS-CoV-2 virus in laboratory experiments. They wanted to see how the virus infects cells and get through the protective barrier into brain tissue. The researchers measured how the cells responded by looking at inflammation markers, changes in the structure of the protective barriers, and changes in the cells energy-producing structures called mitochondria, which help maintain the protective brain barrier. 

The study found that exposure to SARS-CoV-2 triggered strong inflammation in brain blood vessel cells. The virus activated a specific inflammation pathway called NF-κB that isn't usually turned on in these cells. This led to increased production of inflammatory substances that could alter brain tissue. The researchers also discovered that the virus changed how mitochondria work in these cells. Mitochondria became longer and more connected to each other, which can happen when cells are under stress. These changes occurred even though the virus didn't directly infect or kill the brain blood vessel cells. 

These findings help explain how COVID-19 might cause brain symptoms without the virus directly infecting brain cells. The inflammation and changes in mitochondria could disrupt the cellular structure of the protective barrier between blood and brain. This disruption might allow harmful substances to enter brain tissue and cause thinking and memory problems seen in people with COVID. Understanding these mechanisms is an important step toward developing treatments for the neurological symptoms of COVID. 

Short Summary
EHR Adult New-onset and Pre-existing Conditions

Reddy, NV; Yeh, HC; Tronieri, JS; et al., Journal of Clinical and Translational Science

The relationship between COVID-19 and diabetes has captured the interest of many researchers. Some studies suggest that people may be more likely to develop type 2 diabetes after having COVID-19. The authors of this study tried to find out whether new diagnoses of type 2 diabetes are more common after having COVID-19. They did this by looking at electronic health records (EHRs), which are digital medical charts that have health data like doctor visits, lab results, and other health history. 

The researchers looked at the EHRs of people across the country who had COVID-19 and were also diagnosed with type 2 diabetes within 6 months before or after having COVID-19. They found that the number of new diagnoses increased during the period when people had COVID-19, likely due to increased interaction with the healthcare system during that time. However, the average number of new diabetes diagnoses was about 83% lower in the 6 months after having COVID-19 than in the 6 months before having COVID-19. This analysis could not explain whether having COVID-19 makes people more likely to get diabetes, but it does include the unexpected finding that a diabetes diagnosis was less common months after having COVID-19.

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