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Geoff’s Narration

The GIST

 

Just months after the publication of the first large ME/CFS GWAS study comes an enormous FM GWAS study. Notice how these two diseases seem to be marching hand in hand. Both are greatly underfunded, both are still struggling for recognition in some circles, symptoms define both, and both are now getting validation from large genetic studies.

“These findings establish a firm biological basis for a condition long defined solely by its clinical symptoms, and whose validity remains debated in some circles.” FM GWAS

“DecodeME’s results, grounded in the principles of statistical genetics, now place ME/CFS research on a firm biological foundation.” DecodeME GWAS

At Risk Genes for Fibromyalgia

Genes

Like the DecodeME ME/CFS study, this FM GWAS study aimed to uncover the “genetic architecture” of FM; i.e. the genes that increase the risk for it.

Size matters in genome studies. The recent FM preprint, “The genetic architecture of fibromyalgia across 2.5 million individuals“, was about 8 times larger than the DecodeME study and found three times as many “genetic risk loci” (24 to 8).  (When Decode joins with Ian Lipkin’s genetic work in the US, more genetic loci for ME/CFS should pop up. Because the FM study relied on electronic health records, the FM group may not be as well-defined as the ME/CFS group.)

 

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Genetic risk loci refer to regions of the genome with significant genetic variants that are associated with the disease. They could be said to represent the “genetic architecture” of the disease. They are the areas of the genome that appear to have put you or me at risk for FM.

The most significant variant was an odd one: a variant (rs149109767-A) which results in a glutamic acid deletion in the causal gene for Huntington’s disease (!). That variant alone increased a person’s risk of coming down with FM by 9%. (The variant in FM is much smaller (loss of one amino acid) than the alterations found in HD and does not take place in the same part of the gene.)

Other gene variants affect things like interneuron excitability (causing subclinical seizures), hippocampal functioning (causing memory impairment), the kynurenine pathway,  dopamine (motivation and cognition), sleep, natural killer cell functioning (!), neuroplasticity, excitatory neurotransmission, testosterone metabolism, cognitive issues, microglial activation and neuroinflammation, lipid and mitochondrial issues.

The study, in other words, confirmed that people with FM have a genetic predisposition to many of the biological abnormalities studies have found.

THE GIST

  • The first big GWAS FM study scored by finding many significant regions of the genes we are born with that appear to contribute to FM. That finding, as the authors said, puts FM on a “firm biological foundation”.
  • The genes highlighted in the study affect things like interneuron excitability (pain processing/subclinical seizures), hippocampal functioning (memory impairment), the kynurenine pathway (pain and others), dopamine (motivation and cognition), sleep, natural killer cell functioning (!), neuroplasticity, excitatory neurotransmission, testosterone metabolism, cognitive issues, microglial activation, neuroinflammation, lipid and mitochondrial issues.
  • The study, in other words, confirmed that people with FM have a genetic predisposition to many of the biological abnormalities studies have found.
  • Like ME/CFS, the genes almost wholly pointed to the brain, and, in particular, in FM, to genes that affect pain and sensory processing. Genetic variants that affect similar areas of the brain were found in both ME/CFS and FM.
  • Many genes found in FM have also been found to contribute to other illnesses. This suggested to the authors that the genetic architecture found in FM constitutes a kind of “transdiagnostic” genetic vulnerability that reaches far beyond FM itself. That “vulnerability profile”, they believe, affects core neurobiological systems such as central nervous system excitability, dopaminergic/serotonergic signaling, and neuroimmune stress.
  • It’s also found in diseases like ME/CFS, chronic pain conditions, IBS, PTSD, depression, and more. A ChatGPT 5.0 analysis concluded that “DecodeME’s strongest loci for ME/CFS sit exactly where you’d expect such a vulnerability to live“.
  • Two genes, in particular, offer new treatment pathways for FM. Drugs for them are not available right now, but are under development and being tested.
  • Coming up – PrecisionLife takes genetic analysis to the next level in ME/CFS.

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Another Brain Disease…

The DecodeME study suggested that the genes found in ME/CFS mostly affected the central nervous system; i.e. its genetic roots suggest that the failure point begins in the brain.

Fibromyalgia, of course, has always been thought of as a central nervous system disease. In fact, it’s been called the prototypical central sensitization disorder, so it was no surprise when the researchers determined where in the body the gene regions associated with FM were most active that the brain popped up in spades.

brain

Like ME/CFS, the genetic underpinnings of FM point to the brain.

All the tissues with significant enrichments (high expression of the genes found) were found in five regions of the brain, found in the cerebral cortex and basal ganglia that process pain, movement, motivation, and emotion. They included the cortex (general cortical gray matter), the frontal cortex (BA9), and the caudate nucleus (part of the striatum). The putamen (also striatal) integrates motor and motivational information, and the anterior cingulate cortex (ACC) is a key hub for the emotional and attentional dimensions of pain.

Plus, 12 of 13 enriched cell types were neurons. The strongest association was with neurons from the dentate gyrus, which is a part of the hippocampal region that contextualizes or helps us to understand sensory experiences, including pain.

Other high areas of activity were also found, interestingly enough, in neurons in the “second brain” – the gut and neurons largely involved in pain and sensory processing (diverse interneurons, cortical projection neurons, and striatal neurons). The only non-neuronal cell type to make the cut – 0pulmonary neuroendocrine cells – was, guess what, a specialized sensory cell which has neuron-like properties.

No other cell types were affected! Given the emphasis on neurons involved in sensory and pain processing, it’s no wonder that FM has been called the prototypical central sensitization syndrome. It’s the only chronic pain disease that’s not focused on a tissue – it appears to simply consist of a kind of widespread nervous system derangement, and, if this study is correct, people with FM were set up from birth to experience it. One of the encouraging things about these findings is how well they fit with what we know.

Multiple Disease Overlaps

networks

The gene variants highlighted in FM also play a role in many other diseases.

As expected, the most extensive and significant genetic overlaps were with musculoskeletal and pain disorders – particularly those associated with widespread pain.

We know that people with any pain disorder, such as joint pain or low back pain, are at increased risk for FM, so it made sense that genes highlighted in FM also placed people at risk for migraine, joint and low back pain, and, interestingly, hypermobility syndrome.

Given its strong nervous system roots, it was perhaps not surprising to see “substantial genetic correlations” with diseases like post-traumatic stress disorder (PTSD) and depression (and more modest associations) with anxiety and insomnia.

Significant genetic overlaps were also found with irritable bowel syndrome, functional dyspepsia, asthma, rheumatoid arthritis, and polycystic ovarian syndrome. (Interestingly, FM was more genetically correlated with the seronegative form of RA.) Genetic correlations with autoimmune disorders were present but modest.

ME/CFS – Siblings, Kissing Cousins, or Distant Relatives?

With regard to ME/CFS, a strong correlation with the core clinical symptom of malaise and fatigue was found. The fact that 2 of the 8 genetic loci that popped up in the ME/CFS DecodeME study (LFM4 (chr13q14.3) RABGAP1L region (chr1q25.1) also showed up in the larger FM study indicates some significant overlap is present. The CA10 gene found in ME/CFS in the DecodeME study provides another potential association as it’s been linked to chronic pain conditions that affect multiple areas of the body.

The DecodeME analysis also suggested that ME/CFS was primarily a central nervous system disease. Indeed, the 13 tissues that met statistical significance were all found in the brain. As in the FM study, immune and muscle tissues did not make the cut.

Decoding ME: Big Stakes Genetics Study Puts ME/CFS on Firm Biological Foundation

The brain regions impacted by the genetic variants found in the two diseases were similar. Of the five brain regions highlighted by the FM study (cortex, caudate, frontal cortex, putamen, and anterior cingulate cortex), three showed up in DecodeME (frontal cortex, putamen, and anterior cingulate), plus both diseases featured parts of the brain associated with the basal ganglia (striatum, putamen, and caudate).

Call the two at least kissing cousins.

Core Vulnerabilities Affecting Multiple Diseases Identified?

The genetic overlaps found in so many diseases caused the authors to refer to the “profound pleiotropy” found in the gene variants associated with FM. Pleiotropy concerns the ability of a gene variant to cause many different effects and symptoms. In this case, the genes implicated in FM have been associated with negative effects in a surprisingly wide variety of diseases.

core feature

The authors believe the genes found in fibromyalgia may represent a core group of genes that play a role in many other genes.

This resulted in the authors proposing that the genetic implications of the study may go well beyond FM. They believe that the “vulnerability profile” in FM affects core neurobiological systems such as central nervous system excitability, dopaminergic/serotonergic signaling, and neuroimmune stress that play a role in other diseases. Because these systems are embedded in the nervous system, they can produce symptoms across the body.

The authors suggested the genetic profile found in FM may “capture a core, transdiagnostic vulnerability” which results in pain amplification, stress sensitivity, etc. in a range of diseases (FM, ME/CFS, chronic pain conditions, IBS, PTSD, depression, and more).

A ChatGPT 5.0 analysis of this proposal concluded that “DecodeME’s strongest loci for ME/CFS sit exactly where you’d expect such a vulnerability to live“. ChatGPT believed this association will likely increase as bigger GWAS ME/CFS studies are published.

Because these diseases feature a “core, transdiagnostic vulnerability”, future studies and clinical trials should include all these diseases, and indeed, that’s what advocates are trying to accomplish and what David Putrino is actually doing at Mt. Sinai.

New Treatment Targets

 “These loci represent the first genetically-supported molecular targets for fibromyalgia” the authors

HTT/GPR52

The fact that the HTT gene and its regulator GPR52 were both highlighted suggested that drugs targeting the GPR52 gene in Huntington’s Disease (HD) are a possibility. This surprise entrant – a gene best known for its effects in HD – may be a risk factor for FM because it’s expressed in areas of the brain that process pain signals.

Several GPR52-enhancing and inhibiting drugs are under development.

CELF4 

“The CELF4 locus fibromyalgia risk locus provides a direct genetic rationale for exploring CELF4-based gene therapies…for fibromyalgia”

DNA

Two genes in particular stood out; one plays a key role in pain processing.

GPR52 was a bit tangential. This was not the case for the CELF4 gene, which seems to hit all the right spots. The protein produced by this gene occurs right smack in the neurons found in parts of the brain that are of high interest in FM and ME/CFS. They include the dorsal horn (pain signaling), brainstem (autonomic nervous system, sensory processing), amygdala (fight or flight), and cortex (cognition, executive functioning – frontal cortex).

Removing CELF4 from mice sets them up for a nice case of FM by increasing nervous system excitability, pain sensitivity, and altering the release of two neuropeptides (substance P and CGRP) known to play a role in FM. (It also heightens the mice’s susceptibility to seizure.) A CELF4 gene variant that results in reduced CELF4 levels, then, could play a core role in producing FM.

Several animal studies that seek to boost CELF4 levels are underway. The authors noted that the strong CELF4 signal found in FM suggests that pharmaceutical companies should begin to explore CELF4-enhancing drugs in FM.

Conclusions

The first big GWAS FM study scored by finding many significant areas of the genome that appear to contribute to FM, thereby, as the authors said, putting FM on a “firm biological foundation”. Like ME/CFS, the findings almost wholly pointed to the brain, and, in particular, to genes that affect pain and sensory processing.

The many genes found in FM, which also contribute to other illnesses, suggested to the authors that genetic architecture found in FM constitutes a kind of “transdiagnostic” genetic vulnerability that reaches far beyond FM. That “vulnerability profile”, they believe, affects core neurobiological systems such as central nervous system excitability, dopaminergic/serotonergic signaling, and neuroimmune stress and is also found in diseaeses like ME/CFS, chronic pain conditions, IBS, PTSD, depression, and more.

Indeed, a ChatGPT 5.0 analysis concluded that “DecodeME’s strongest loci for ME/CFS sit exactly where you’d expect such a vulnerability to live“.

Two genes, in particular, offer new treatment pathways for FM. Drugs are not available right now but are being tested.

  • Coming up – a talk with the CEO of Precision Life as it takes the genetic analyses in ME/CFS to the next level

 

Support Health Rising and Keep the Information Flowing!

Health Rising is not a 501 c (3) non-profit

 

Health Rising’s Quickie Summer Donation Drive is On!

Keeping up with the latest research in ME/CFS, long COVID, fibromyalgia, and allied diseases. Exploring new treatment possibilities. Learning how others have recovered. All in as thoroughly and comprehensively as we can. 

Please support Health Rising during our quickie summer donation drive. Our goal is to raise $15,000. 

 Find out more here.

Please support Health Rising in our Quickie Summer Donation Drive! Our goal is $15,000.Click here for more.

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