Sasha
Senior Member (Voting Rights)
Interesting that Dr Altmann says that the patients essentially created the field. Just shows the depth of abandonment - all over again.
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News from the USA, United States of America
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Mij
Senior Member (Voting Rights)
He's back
Vinay Prasad returns to the FDA, weeks after his ouster
He will resume leadership of the Center for Biologics Evaluation and Research
Vinay Prasad returns to the FDA, weeks after his ouster
He will resume leadership of the Center for Biologics Evaluation and Research
Interesting and perhaps frustrating that he is still hot on antiviral therapies. I'd love to be proved wrong but I just think if that was the answer we would probably know by now.
Dakota15
Senior Member (Voting Rights)
'New biomarker may be the first specific and quantifiable indicator for confirming long COVID'
'Researchers from the Translational Genomics Research Institute (TGen), part of City of Hope, and the Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center have identified a potential biomarker for long COVID.'
The study results, reported in the journal Infection, detail the detection of SARS-CoV-2 protein fragments within extracellular vesicles (EVs) - tiny, naturally occurring packages that help cells share proteins, metabolites, and other materials. The researchers collected and analyzed blood samples from 14 patients over 12 weeks of aerobic exercise training (56 samples in all) in a clinical trial led by Stringer in long COVID.
The researchers found 65 distinct protein fragments from SARS-CoV-2 inside the EVs. These fragments come from the virus's Pp1ab protein, an RNA Replicase enzyme which is key to how the virus copies itself and makes other viral particles. This protein is found uniquely in SARS-CoV-2, and not in uninfected human cells, noted Asghar Abbasi, Ph.D., a Lundquist Institute investigator and first author of the study.
'Researchers from the Translational Genomics Research Institute (TGen), part of City of Hope, and the Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center have identified a potential biomarker for long COVID.'
The study results, reported in the journal Infection, detail the detection of SARS-CoV-2 protein fragments within extracellular vesicles (EVs) - tiny, naturally occurring packages that help cells share proteins, metabolites, and other materials. The researchers collected and analyzed blood samples from 14 patients over 12 weeks of aerobic exercise training (56 samples in all) in a clinical trial led by Stringer in long COVID.
The researchers found 65 distinct protein fragments from SARS-CoV-2 inside the EVs. These fragments come from the virus's Pp1ab protein, an RNA Replicase enzyme which is key to how the virus copies itself and makes other viral particles. This protein is found uniquely in SARS-CoV-2, and not in uninfected human cells, noted Asghar Abbasi, Ph.D., a Lundquist Institute investigator and first author of the study.
I feel like this paragraph definitely puts the dampener on things:
Lots of people who have had covid have some kind of persistent markers of infection in their blood and no long covid samples. So it stands to reason these post exercise markers could be a similar phenomenon.
Also they gave pwLC 12 weeks of aerobics training? I guess they haven't heard of PEM..
Dakota15
Senior Member (Voting Rights)
Is there a thread on this study? Didn't see yet
Scienmag (Science Magazine): 'Scientists Discover Crucial Biomarkers for Chronic Fatigue Syndrome'
'In a groundbreaking advancement poised to reshape the understanding and diagnosis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), researchers at Cornell University have pioneered a novel approach leveraging circulating cell-free RNA (cfRNA) signatures detectable in blood plasma. This cutting-edge technique utilizes machine-learning algorithms to decode the complex molecular signals that dying cells release into the bloodstream, offering unprecedented insight into the elusive pathophysiology of this debilitating, often misunderstood chronic illness.'
'The research, recently published on August 11, 2025, in the prestigious Proceedings of the National Academy of Sciences, details how plasma samples from ME/CFS patients and sedentary healthy controls were analyzed to isolate and sequence extracellular RNA fragments. These fragments serve as proxies for gene expression profiles from diverse tissues impacted by the disease. Utilizing advanced machine-learning classifiers, the team identified over 700 transcripts significantly divergent between ME/CFS cases and controls, facilitating a molecular signature indicative of the syndrome.'
'The project was conceived through a collaboration between the De Vlaminck Lab, under associate professor Iwijn De Vlaminck, renowned for pioneering cell-free nucleic acid technologies, and Dr. Maureen Hanson’s team, leaders in ME/CFS pathophysiology research. De Vlaminck’s laboratory previously demonstrated the diagnostic power of cfRNA in identifying Kawasaki disease and multisystem inflammatory syndrome in children (MIS-C), signaling the versatility of this approach in inflammatory and immune-mediated conditions.'
'Beyond diagnostics, the technology offers a potent research instrument to dissect the multifaceted biology of ME/CFS and related chronic illnesses such as long COVID. Notably, while long COVID has recently amplified awareness of post-infectious chronic syndromes, ME/CFS remains more prevalent and, in many cases, more severely disabling. The Cornell team’s innovation could therefore serve as a reference model for studying infection-associated chronic diseases with overlapping symptomatology but distinct molecular fingerprints.'
Scienmag (Science Magazine): 'Scientists Discover Crucial Biomarkers for Chronic Fatigue Syndrome'
'In a groundbreaking advancement poised to reshape the understanding and diagnosis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), researchers at Cornell University have pioneered a novel approach leveraging circulating cell-free RNA (cfRNA) signatures detectable in blood plasma. This cutting-edge technique utilizes machine-learning algorithms to decode the complex molecular signals that dying cells release into the bloodstream, offering unprecedented insight into the elusive pathophysiology of this debilitating, often misunderstood chronic illness.'
'The research, recently published on August 11, 2025, in the prestigious Proceedings of the National Academy of Sciences, details how plasma samples from ME/CFS patients and sedentary healthy controls were analyzed to isolate and sequence extracellular RNA fragments. These fragments serve as proxies for gene expression profiles from diverse tissues impacted by the disease. Utilizing advanced machine-learning classifiers, the team identified over 700 transcripts significantly divergent between ME/CFS cases and controls, facilitating a molecular signature indicative of the syndrome.'
'The project was conceived through a collaboration between the De Vlaminck Lab, under associate professor Iwijn De Vlaminck, renowned for pioneering cell-free nucleic acid technologies, and Dr. Maureen Hanson’s team, leaders in ME/CFS pathophysiology research. De Vlaminck’s laboratory previously demonstrated the diagnostic power of cfRNA in identifying Kawasaki disease and multisystem inflammatory syndrome in children (MIS-C), signaling the versatility of this approach in inflammatory and immune-mediated conditions.'
'Beyond diagnostics, the technology offers a potent research instrument to dissect the multifaceted biology of ME/CFS and related chronic illnesses such as long COVID. Notably, while long COVID has recently amplified awareness of post-infectious chronic syndromes, ME/CFS remains more prevalent and, in many cases, more severely disabling. The Cornell team’s innovation could therefore serve as a reference model for studying infection-associated chronic diseases with overlapping symptomatology but distinct molecular fingerprints.'
I don't see one. I'll make a thread.
Edit: https://s4me.info/threads/circulati...chronic-fatigue-syndrome-2025-gardella.45605/
Dakota15
Senior Member (Voting Rights)
Cornell Chronicle: “Researchers identify key biomarkers for chronic fatigue syndrome”
“We identified six cell types that were significantly different between ME/CFS cases and controls,” Gardella said
“We identified six cell types that were significantly different between ME/CFS cases and controls,” Gardella said