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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...

@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.

Yeah, I think it's good enough for a rough idea.

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...

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:

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...

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...

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...

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...

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...

54 ME/CFS and 27 HC. 6494 proteins tested. 751 with significant q values. Down: intracellular proteins, including histones, metabolic enzymes | Up: immune system, metabolism | Up or down: vascular function Controlling for metabotype (what is metabotype?) and SF-36 physical function score...

That's interesting. Hydrocortisone cured her fear of gaining weight? I feel like anorexia is one of the best examples of a condition your doctor would send you to a therapist to fix, yet a cheap medication did the job.

Just added.

I also just realized that CD24 doesn't have the lowest p-value. I misread the chart previously. It does have the largest odds ratio of the 28 traits, but a couple others have lower p-values.

The authors confirmed that all traits reported in the paper were based on unadjusted p-values. While FDR values were calculated, the only place they were reported was in the supplementary table. They weren't used for identifying traits of interest, and the authors acknowledged that the wording...

Here's the trial registration: https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=OTgyNzA=

There's a long criticism on PubPeer of this protocol that in large part echoes the points made here. The summary at the end:

The registration for Nancy Klimas's CoQ10 phase III trial for gulf war illness shows that the study was completed in 2020, and they subsequently added the results to that page. The differences mostly seem modest and aren't consistent across outcomes (e.g. SF-36 - more improvement in CoQ10...

I think that basically covers it. With the added component, which is vital to MR, of excluding SNPs that can directly cause the disease itself [edit: through a pathway other than through the] intermediate trait, so that one can infer causality of the intermediate trait (immune cell trait in this...

From the GWAS they reference: So for example, for the trait "CD24 on CD24+CD27+", the original GWAS detected the SNPs associated with expression of CD24 on these cells. In theory this thread's study then checks if any of the immune cell-associated SNPs from that other study are associated with...