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  1. forestglip

    Preprint Charting the Circulating Proteome in ME/CFS: Cross System Profiling and Mechanistic insights, 2025, Hoel, Fluge, Mella+

    Since they did the validation portion, it seemed worth checking if there was overlap between the 57 proteins in that part with the thousands in the first part and in Germain. There were overlaps in 51 genes between all three cohorts. In 19 genes, the fold change was in the same direction. Only...
  2. forestglip

    Preprint Charting the Circulating Proteome in ME/CFS: Cross System Profiling and Mechanistic insights, 2025, Hoel, Fluge, Mella+

    @ME/CFS Skeptic My plot looks the same by the way. Here are the three genes that were changed in the same direction in both studies and had a q value less than .05 in both: Edit: Added links to GeneCards.
  3. forestglip

    Preprint Charting the Circulating Proteome in ME/CFS: Cross System Profiling and Mechanistic insights, 2025, Hoel, Fluge, Mella+

    I think TargetFullName might be best actually. Multiple aptamers can be associated with the same gene identifier, but I assume they each have a unique TargetFullName. If matching on UniProt, if either dataset has multiple aptamers per UniProt ID, you'll get arbitrary pairs of measurements...
  4. forestglip

    Preprint Charting the Circulating Proteome in ME/CFS: Cross System Profiling and Mechanistic insights, 2025, Hoel, Fluge, Mella+

    Oh, another identifier, didn't notice that one. I do get 672 with that. I'm going to try merging where any of the columns match. Could you explain this a bit more:
  5. forestglip

    Preprint Charting the Circulating Proteome in ME/CFS: Cross System Profiling and Mechanistic insights, 2025, Hoel, Fluge, Mella+

    I'm running into the issue when merging with an inner join of not having a consistent identifier. If I merge on 'UniProt', I get 682 rows. If I merge on 'EntrezGeneSymbol' I get 655. If I merge on 'EntrezGeneID', I get 631. Not sure how yours is different from all of these. It's different...
  6. forestglip

    IgA autoimmunity and coagulation among [PASC] patients with persistent respiratory symptoms: a case-control study, 2025, Gomes et al

    IgA autoimmunity and coagulation among post-acute sequelae of SARS-CoV-2 infection (PASC) patients with persistent respiratory symptoms: a case-control study Claudia Gomes, Jonathan H. Whiteson, Fabio Ponzo, Rany Condos, Mila B. Ortigoza, Marisol Zuniga, Ana Rodriguez, David C. Lee [Line...
  7. forestglip

    Preprint Charting the Circulating Proteome in ME/CFS: Cross System Profiling and Mechanistic insights, 2025, Hoel, Fluge, Mella+

    I was looking at that, wondering if BMI was the reason for the increase (matched for sex), but they seem pretty closely matched for BMI as well: HC: 24.0±2.6 ME/CFS: 24.4±4.2 Maybe the larger variance in BMI in the ME/CFS group could affect things? Edit: Oh, not perfectly matched for sex like...
  8. forestglip

    Symptoms and Pathophysiology of Post-Acute Sequelae of SARS-CoV-2 (PASC): A Cohort Study, 2024, Robineau et al

    Now published. In terms of the abstract, other than minor spelling and formatting changes, the only change was removing the mention of IL-8. ---- Background Several studies reported long-term consequences of severe COVID-19. However, pathophysiological mechanisms of Post-Acute Sequelae...
  9. forestglip

    Exploring Genetic Susceptibility to Internalizing Symptoms within the DSM: Network Analysis, 2025, Sadiković et al

    Exploring Genetic Susceptibility to Internalizing Symptoms within the DSM: Network Analysis Selka Sadiković, Ljiljana Mihić, Radomir Belopavlović, Bojana M. Dinić, Nada Tokodi, Nataša Vučinić, Mechthild Prinz, Zoran Budimlija & Snežana Smederevac [Line breaks added] Abstract This study...
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