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Nikhil Prasad  Fact checked by:Thailand Medical News Team Sep 26, 2023  10 months, 1 day, 20 minutes ago

LONG COVID News: Icahn Researchers Identify Blood Biomarkers For Long COVID While Showing Immune And Hormone Disruptions In Those Afflicted!

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LONG COVID News: Icahn Researchers Identify Blood Biomarkers For Long COVID While Showing Immune And Hormone Disruptions In Those Afflicted!
Nikhil Prasad  Fact checked by:Thailand Medical News Team Sep 26, 2023  10 months, 1 day, 20 minutes ago
LONG COVID News: In a groundbreaking scientific endeavor, researchers from the Icahn School of Medicine at Mount Sinai and Yale School of Medicine have embarked on a journey to unravel the enigmatic complexities of Long COVID. Their study findings have shed light on the condition's distinct characteristics, marked by blood biomarkers that set Long COVID patients apart from those who have fully recovered from COVID-19 or never contracted the virus at all.


 
A Persistent Pandemic Mystery: Long COVID Emerges
The origins of this compelling research trace back to the early days of the COVID-19 pandemic. In 2020, physicians within the Mount Sinai Health System noticed a perplexing trend among some COVID-19 survivors. Rather than enjoying a complete recovery after their acute infections, these individuals continued to grapple with a myriad of symptoms that included cognitive impairment, debilitating fatigue, shortness of breath, and chronic pain. The condition was dubbed Long COVID, and it quickly became apparent that it was far from a mere anomaly. Since then, numerous other studies and Long COVID News reports have constantly emerged detailing a myriad of health and medical manifestations associated
 
According to the Centers for Disease Control and Prevention (CDC), approximately 7.5 percent of adults in the United States experience Long COVID symptoms lasting more than three months following their initial COVID-19 diagnosis.
 
These persistent and often debilitating symptoms raised many questions among medical professionals, leaving them searching for answers. Long COVID presented itself as a complex puzzle that defied easy solutions. Routine tests frequently yielded inconclusive results, and many patients found themselves facing disbelief or misdiagnoses, with some doctors mistakenly attributing their symptoms to psychological factors such as depression or anxiety. To unravel the mysteries of Long COVID, scientists needed to delve deep into the biology of the condition, and that's precisely what the study team from Mount Sinai and Yale set out to do.
 
Biomarkers: The Key to Understanding Long COVID
A major breakthrough in Long COVID research has come in the form of biomarkers - biological indicators that can be detected in the blood and provide invaluable insights into the underlying mechanisms of the condition. These biomarkers have the potential to not only diagnose Long COVID but also guide the development of tailored treatments, something that has been lacking in the absence of a proven scientific rationale.
 
The study conducted by the Icahn School of Medicine at Mount Sinai and Yale School of Medicine involved 273 participants from three different sites: The Mount Sinai Hospital, Mount Sinai Union Square, and Yale School of Medicine. These participants were categorized into three distinct groups: those who had never contracted SARS-CoV-2 (the virus responsible for COVID-19), those who had fully recovered from a confirmed COVID-19 infection, and those who continued to experience Long COVID symptoms for at least four months or more after their initial infection, with the median time of Long COVID symptoms being 12 months since the acute infection.
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Each participant provided detailed information about their symptoms, medical history, and overall health-related quality of life. Blood samples were collected from all participants to facilitate the identification of biomarker variations and similarities among the groups. To make sense of the immense amount of data generated, machine learning algorithms were employed, enabling the researchers to pinpoint which biomarkers were most effective at distinguishing Long COVID patients from the other groups.
 
Promising Results and the Significance of Biomarkers
The results of this comprehensive study are promising and potentially transformative. The machine learning algorithm exhibited an impressive 96 percent accuracy in distinguishing individuals with Long COVID from those without, based on distinctive features detected in the blood samples of Long COVID patients. This groundbreaking achievement marks the first instance in which specific blood biomarkers have been identified to accurately diagnose Long COVID, providing a vital tool for future research and medical practice.
 
Among the most significant findings were indications of immune disruption, latent virus reactivation (including the Epstein-Barr virus and other herpesviruses), and substantial reductions in cortisol levels. These discoveries highlight the complexity of Long COVID, emphasizing the heterogeneity of the condition, with variations in biomarkers depending on the individual's medical history. As a result, the researchers stress the importance of adopting a highly personalized approach to the medical management of Long COVID, acknowledging that there is no one-size-fits-all solution.
 
Unlocking the Immune-Hormone Connection: Key Insights into Long COVID
One of the most striking revelations from the study is the immune-hormone connection in Long COVID. Patients with Long COVID displayed marked differences in immune and hormone function when compared to those who had fully recovered from acute COVID-19 or had never been infected with SARS-CoV-2.
 
The most prominent indicators of immune disruption in Long COVID patients were characterized by abnormal T cell activity, the reactivation of latent viruses, and significant reductions in cortisol levels. Cortisol, commonly known as the "stress hormone," follows a natural circadian rhythm in healthy individuals, with its levels peaking in the morning to help awaken the body and gradually declining throughout the day. However, Long COVID patients exhibited a blunted morning cortisol peak, with levels only about half of what was observed in individuals in the control groups.
 
This discovery has profound implications for understanding Long COVID symptoms. Low cortisol levels are associated with fatigue, nausea, vomiting, weight loss, weakness, and pain - symptoms that overlap with those experienced by Long COVID patients. Consequently, the reduced morning cortisol peak emerged as one of the strongest predictors of Long COVID within the study, shedding light on the biological underpinnings of the condition.
 
The Immune System's Role in Long COVID
Another key revelation from the study is the role of the immune system in Long COVID. Deep immune profiling conducted on Long COVID patients revealed a higher concentration of immune cells known as non-conventional monocytes, coupled with lower levels of a different type of immune cell called a conventional type 1 dendritic cell. These findings suggest a state of immune dysregulation in Long COVID patients, with their immune systems functioning differently from those of individuals who have recovered from acute COVID-19 or never contracted the virus.
 
Moreover, Long COVID patients displayed immune changes indicative of the reactivation of dormant viruses within their bodies, including the Epstein-Barr virus. Epstein-Barr is notorious for causing mononucleosis, an infection known for its debilitating fatigue. Remarkably, up to 95 percent of adults carry latent forms of Epstein-Barr. The study suggests that Long COVID may somehow impair the immune system's ability to keep these latent viruses in check, leading to their reactivation and contributing to the persistence of Long COVID symptoms.
 
However, the study also dispels the notion that Long COVID might be an autoimmune disorder. Testing known as rapid extracellular antigen profiling (REAP), designed to detect immune responses against one's own organs and tissues, revealed no discernible differences between individuals with a history of COVID-19 and those without. While this finding provides valuable insights, it also underscores the complexity of Long COVID, emphasizing the multifaceted nature of the condition.
 
Toward a Brighter Future for Long COVID Patients
The implications of this research are profound, offering newfound hope and understanding for the millions of individuals worldwide who suffer from Long COVID. The identification of specific blood biomarkers represents a significant milestone in the quest to diagnose and treat this persistent condition. With an accuracy rate of 96 percent in distinguishing Long COVID patients, these biomarkers hold immense promise for the development of sensitive diagnostic tests that can objectively determine the presence of Long COVID.
 
Furthermore, the insights into immune-hormone disruptions and the role of the immune system in Long COVID open doors to more personalized treatment approaches. Long COVID is not a monolithic condition; it varies from person to person based on their medical history and the specific biomarkers at play. As such, the medical management of Long COVID demands a nuanced and individualized approach, recognizing that there is no universal solution.
 
While this research represents a significant step forward in our understanding of Long COVID, it also underscores the need for continued and rapid research efforts. Complex conditions like Long COVID necessitate equally intricate treatment solutions. As scientists delve deeper into the biological underpinnings of the condition, the prospects for effective treatments and improved quality of life for Long COVID patients continue to brighten.
 
In conclusion, the study conducted by the Icahn School of Medicine at Mount Sinai and Yale School of Medicine has brought Long COVID out of the shadows, validating it as a biological illness with distinct biomarkers and immune-hormone disruptions. As researchers continue their relentless pursuit of answers, Long COVID patients can look to the future with renewed optimism, knowing that science is advancing toward more accurate diagnoses and personalized treatment solutions for this challenging and persistent condition.
 
The study findings were published in the peer reviewed journal: Nature.
https://www.nature.com/articles/s41586-023-06651-y
 
For the latest Long COVID-19 News, keep on logging to Thailand Medical News.

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