1/ A 🧵 on the latest (preprint) paper by @CGATist et. al. The paper mentions that "Significant female and male traits were indicative of chronic inflammation, insulin resistance and liver disease" : Tagging @JennieJacques1 medrxiv.org/content/10.110…
2/ Differentially expressed proteins were used as inputs to the software framework I have been using in order to identify promising research targets. Note that "Liver disease" has been identified as early as 2017 as a potential target using certain analytical methods.
3/ Moreover, on a document I circulated among #MECFS researchers in 2017, issues with Glucose metabolism and Inflammatory processes have been also identified ("Liver disease" also mentioned) :
4/ We begin with differentially expressed proteins appearing on Figure 5. A ranking is generated according to the relevance of each medical topic. Below are the results. Note the relevance of "protein stability" and transferases among others :
5/ Next, the same ranking is generated for proteins appearing on figure 6c. Here are the rankings for males and females :
6/ ..and from the same figure (6c) below is the relevance ranking of proteins that were found to be differentially expressed in both males and females. Note the high ranking of the liver and transferases.
7/ Transferases is one of the concepts that consistently received very high rankings. And there was evidence about this as early as 2017. From the same document mentioned in (3) :
8/ According to #ChatGPT, the following are factors that affect transferases functioning. Tagging @scott_scientist for environmental toxins. Note the mention on "Protein folding" which is directly related to ER Stress (found in #MECFS patients by Hwang ) et.al
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1/ I am amazed with @genspark_ai and what it could potentially do for medical applications. The reason for my amazement is the"Mixture-of-agents" approach . Here is the interaction for an imaginary #MECFS patient. Tagging @DeryaTR_ :
2/ What happens next, is that the prompt given is submitted to three Large Language Models (LLMs) and each LLM gives its response. In our case these LLMs are #GPT4o #Claude and #Gemini. Note also the "Reflection" dropdown which is where things get interesting
3/ Here are the responses from the 3 models responding to my prompt. There are many similarities but also some differences. And here is where "Reflection" comes in. What "Reflection" does is to compare the responses and identifies where they agree, where they disagree and....
1/ It is really exciting when different analytical methods and efforts converge to the same results. I looked at @DeryaTR_ docs that contain the output from @ManusAI_HQ. ManusAI was asked to perform Deep Research analysis for #MECFS and suggest hypotheses..
2/ Among the results we see peroxisomal dysfunction, a mention on PEX Genes, Peroxisome Proliferators (PPARs) among others (cc @chydorina).
3/ Also, we see a mention on PGC1α activators among potential interventions , the NRF2 pathway and also mentions of Autophagy and Heat shock proteins :
1/ Update : I have complete remission of allergic symptoms (sneezing, skin redness and possibly asthma) without any changes to elevated IgE levels. I am sharing in this thread how it was done. Remember this is an n=1 experiment. Talk with your doctor before any intervention!
2/ I have been trying several interventions with my symptoms coming and going. The best intervention that was shown to be effective is the administration of TUDCA at night time (Note : timing *is* important for me -more below). See also attached studies on mast cells and IgE
3/ What has not changed is the IgE level. As shown below my IgE level is still high but -as discussed- I have no allergic symptoms. It would be great if an immunologist could comment on possible mechanisms.
1/ This thread on N-linked glycosylation and glycoproteins could be of great importance. I would kindly ask followers to make sure that researchers and patient organisations on #MECFS and #LongCOVID are aware of it. I will be also tagging researchers where applicable :
2/ On October 2017 the following network analysis graph was posted in my blog. I annotated below accordingly two main clusters of topics 1) Metabolism & Oxidation and 2) Immune system and Inflammation. Between these clusters we find a node named GLYCOPROTEINS (upper star).
3/ According to ChatGPT the following is a list of glycoproteins (I annotated some potentially interesting ones). It appears that a lot of concepts we've been coming across in #MECFS and #LongCOVID are actually glycoproteins:
1/5 I am really happy to share an update on medical research using #CausalAI as discussed with @CortJohnson on HealthRising. Using causal relationships will help us identify much needed knowledge for #MECFS and #LongCOVID, fast. An example is shown below (cc @ahandvanish ):
2/5 Note that this is work under development. MCAS, Post-exertional malaise, allergic reactions, autoimmunity, chemical intolerances, NK cell dysfunction, viral replication, certain biological pathways (list non inclusive) and their interactions are making more sense given..
3/5 ...their functional dependencies. Is it possible that for #MECFS and #LongCOVID a Single Point Of Failure (SPOF) exists or are we looking at a number of few important alterations that lead to associated pathologies?
1/ After reading posts related to #MECFS24 working group meeting, I saw that some speakers shared slides attempting to look at a bigger picture. First, a tweet by @JanetDafoe shows the following slide by Chris Armstrong.
2/ I do not know if Chris wants to hypothesize with this slide that Gulf War Illness , #MECFS , Post-treatment Lyme disease syndrome and #LongCOVID are actually the same syndrome. If true, could other syndromes belong to this bigger picture?
3/ Below is a snapshot from @MEAssociation . Could #MECFS be triggered also by medications, in this case Accutane (Isotretinoin)? Interestingly, a "Post-Accutane Syndrome" exists. Source : meassociation.org.uk/2013/01/parlia…