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Persistent class switch toward spike-specific IgG4 antibodies after repeated SARS-CoV-2 mRNA vaccination in post-acute infection syndrome: an exploratory cohort study Ana M. Espino, Carlimar Ocasio-Malavé, Riseilly Ramos, Ramon Sanmartin, Jesus Castro-Marrero Abstract Myalgic...

Wow, that's a very long and specific time frame! You don't experience this anymore, though?

Thanks! Yes, I try to always keep a mindset of every experience being a learning experience, even if a task isn't "successful" (see my favorite quote). I've learned a lot about the basics of time series analysis, and also now at least don't have to worry that I'm missing some very large...

Yes, maybe that could produce interesting results. I'm not sure what you mean, but my analysis basically consisted of trying to make sure the time series were more or less stationary, and then just doing a basic granger causality test using the Python statsmodels VAR package. The actual code...

Ah, sorry, after seeing your post, I realized that the large image above with all the time series did not actually include all the raw nutrients in the first column. It was after the initial filtering for null data. I updated it with the full list of nutrients. Iodine is there, but I filtered it...

Thanks! I'm mostly out of my depth and got completely exhausted from it. It took me two months after the analysis to post this because I could barely think about it after all the energy expended trying to do this correctly in the weeks/months before the analysis. Unfortunately, I'm not sure...

I got a couple cool charts out of it though. Here is a heatmap showing correlation between daily intake of different nutrients. For example, all the nutrient pairs in the dark red area have high correlations because they are all amino acids, so tend to all be high whenever I eat more protein...

Long story short, I did not find any significant associations, looking for associations of nutrient intake with time upright, when analyzing a year of nutrient data In January, after recording a year of foods eaten, as well as tracking time upright and amount of time sleeping every day, I tried...

This seems to suggest higher genetic influence for early onset cases. I guess we should expect this in most conditions. Those who have genes increasing risk of a condition are born with that risk factor, so onset can happen early on. Environmental risk factors can emerge at any time in a...

It looks like it's linked at the bottom (direct link to doc file). Here is the list of autoimmune diseases from Supplementary Table S1 and the sentences that reference the table:

Some posts have been moved to: Rational hope of treatment?

Welcome @Jacob Deasy, thanks for posting! They report an association with fatigue, but as noted in this thread, they did not find a similar association with ME/CFS: https://www.s4me.info/threads/population-scale-sequencing-resolves-determinants-of-persistent-ebv-dna-2026-nyeo-et-al.45162/ This...

Some posts have been moved to: Sequence ME & Long Covid now open for fundraising

This is so impressive, and looks like a ton of work. You do a great job describing complex topics for non-experts. --- Would it maybe be good to use links to your Bluesky posts instead of Twitter posts? For people that don't have accounts, only the first post in a thread is visible on Twitter...

Disequilibrium, Rather than Postural Orthostatic Tachycardia Syndrome, Is the Primary Determinant of Orthostatic Intolerance in Patients with Long COVID Miwa, Kunihisa Background Orthostatic intolerance (OI) is an important factor affecting daily functional capacity in patients with long...

Autoimmune Disease is Associated with Heightened Long COVID Risk but Prior Immunization is Protective Objectives Patients with autoimmune disease (AD) may be predisposed to Long COVID, yet the impact of primary autoantibody-associated AD and prior immunization remains unclear. Methods...

Yes, I also am not sure if there was multiple test correction across the measures. They tested not only the seven measures between groups, but I think they also tested the association of each measure with each of six clinical metrics (mental health, physical health, sleep quality, disability...

Mm, I don't think the topic is intuitive enough for me to be able to respond in a way that actually helps, so I'll probably just leave it there. You may be describing a real issue, but I don't have the capacity to think about exactly what you're talking about right now.

I'm not entirely sure what you mean. Yes, various things can also be affecting the brain metric apart from the variables in the model, leading to additional noise and confounding, but this is an issue whether age is added as another covariate with ME/CFS status or not. If we add age, we can at...

I don't think it's circular. When we give age to the model, it can predict how much the brain metric would change due to age if ME/CFS status was held steady. For example, you can look at the 2nd plot above (the 1st 3d plot) and imagine the model is predicting a line for age but only in controls...