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Multi-omics of host-microbiome interactions in short- and long-term Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)

SWAlexander

Senior Member
Messages
1,962
Abstract
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex, multi-system, debilitating disability manifesting as severe fatigue and post-exertional malaise. The chronic dysfunctions in ME/CFS are increasingly recognized as significant health factors with potential parallels with "long COVID". However, the etiology of ME/CFS remains elusive with limited high-resolution human studies. In addition, reliable biomarker-based diagnostics have not been well-established, but may assist in disease classification, particularly during different temporal phases of the disease. Here, we performed deep multi-omics (shotgun metagenomics of gut microbiota and plasma metabolomics) and clinical phenotyping of healthy controls (n=79) vs. two cohorts of ME/CFS patients: those with short-term disease (<4 years, n=75), and patients with long-term disease (>10y, n=79). Overall, ME/CFS was characterized by reduced gut microbiome diversity and richness with high heterogeneity, and depletion of sphingomyelins and short-chain fatty acids in the plasma. We found significant differences when stratifying by cohort; short-term ME/CFS was associated with more microbial dysbiosis, but long-term ME/CFS was associated with markedly more severe phenotypic and metabolic abnormalities. We identified a reduction in the gene-coding capacity (and relative abundance of butyrate producers) of microbial butyrate biosynthesis together with a reduction in the plasma concentration of butyrate, especially in the short-term group. Global co-association and detailed gene pathway correlation analyses linking the microbiome and metabolome identified additional potential biological mechanisms underlying host-microbiome interactions in ME/CFS, including bile acids and benzoate pathways. Finally, we built multiple state-of-the-art classifiers to identify microbes, microbial gene pathways, metabolites, and clinical features that individually or together, were most able to differentiate short or long-term MECFS, or MECFS vs. healthy controls. Taken together, our study presents the highest resolution, multi-cohort and multi-omics analysis to date, providing an important resource to facilitate mechanistic hypotheses of host-microbiome interactions in ME/CFS.
https://www.biorxiv.org/content/10.1101/2021.10.27.466150v1
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Pyrrhus

Senior Member
Messages
4,172
Location
U.S., Earth
Thanks for posting this (Xiong et al., 2021) preprint, including the work of Lucinda Bateman, Derya Unutmaz, and Suzanne Vernon!

Here's Figure 1 and Figure 2 from the preprint:

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Wishful

Senior Member
Messages
5,815
Location
Alberta
For those interested in the paper, you might also want to read this news item: https://newatlas.com/health-wellbeing/microbiome-gut-bacteria-inflammation-colitis-pgp/

"But more recently P-gp has been found to also play a key anti-inflammatory role in the gut, producing molecules known as endocannabinoids which suppress inflammation.

The new research found P-gp expression is influenced by a combination of gut bacteria metabolites. Most importantly the research found P-gp expression is not regulated by one single metabolite or species of bacteria. Instead, P-gp expression is induced by a synergistic combination of a short-chain fatty acid known as butyrate and three secondary bile acids (LCA, DCA, and UDCA).

Optimal P-gp expression was detected only when all of these molecules were working in concert with one another. Merran Dunford, a researcher from the University of Bath working on the study, says the big finding here is the discovery of a cross-talk mechanism highlighting how a healthy microbiome can communicate with the immune systems to keep inflammatory activity in the gut in balance."
 
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