Petterson, X.-M. T. | bioRxiv Science

bioRxiv2024

Mitochondria-centered metabolomic map of inclusion body myositis: sex-specific alterations in central carbon metabolism

BackgroundInclusion body myositis (IBM) is a disease of aging characterized by progressive muscle loss. Despite its positioning at the intersection of aging, mitochondrial dysfunction and chronic inflammation, limited studies have evaluated the underlying metabolic disturbances in IBM. ObjectiveTo investigate the mitochondria-centered metabolomic map of IBM in muscle tissue, highlighting sex-specific differences, and to determine the correlation of the changes in metabolites and gene expression with clinical parameters. Methods37 IBM patients and 22 controls without a myopathy were included. All participants had bulk RNA sequencing performed previously. Clinical parameters included age at biopsy, disease duration, manual motor test (MMT) score, and modified Rankin scale (MRS). A complementary battery of metabolomics platforms was used, including untargeted metabolomics, Agilent dMRM Database and Method platform, and targeted metabolomics. Metabolite levels and RNA-metabolomics integrated modules were correlated with clinical parameters. ResultsMuscle samples from IBM patients had elevated TCA cycle intermediates with concomitant increase in anaplerotic amino acids, suggesting increased anaplerosis into the cycle. There was a decrease in upper glycolysis intermediates and an increase in most of the pentose phosphate pathway (PPP) metabolites. The PPP is the main source of NAPDH, a main antioxidant, and ribose-5-P a precursor of nucleic acids. There were marked sex-specific differences in the acylcarnitine profile, with a decrease in short-chain acylcarnitines only in males. Lastly, there was an increase in nucleic acid bases and a decrease in nucleotides. Several metabolites from various pathways had significant correlations with various clinical parameters, with the most pronounced sex-specific differences observed in correlations with acylcarnitines. RNA-metabolomics integration identified 4 modules, with the strongest correlation observed between one module and sex. The MMT score, an indicator of disease severity, showed a strong correlation with 3 modules. There were major sex specific differences with males having relatively similar correlation to the grouped (both sexes) analysis, while females had no significant correlation with any of the modules. ConclusionTaken together, our findings identified clinically significant alterations in central carbon metabolism in IBM, with major differences between males and females. Future studies are needed to determine the role of the detected metabolic alterations in IBM pathogenesis and track the changes longitudinally over the disease course.

neuroscience↗

bioRxiv2018

Distinct Microbes, Metabolites, and Ecologies Define the Microbiome in Deficient and Proficient Mismatch Repair Colorectal Cancers

Background\n\nThe link between colorectal cancer (CRC) and the gut microbiome has been established, but the specific microbial species and their role in carcinogenesis remain controversial. Our understanding would be enhanced by better accounting for tumor subtype, microbial community interactions, metabolism, and ecology.\n\nMethods\n\nWe collected paired colon tumor and normal-adjacent tissue and mucosa samples from 83 individuals who underwent partial or total colectomies for CRC. Mismatch repair (MMR) status was determined in each tumor sample and classified as either deficient MMR (dMMR) or proficient MMR (pMMR) tumor subtypes. Samples underwent 16S rRNA gene sequencing and a subset of samples from 50 individuals were submitted for targeted metabolomic analysis to quantify amino acids and short-chain fatty acids. A PERMANOVA was used to identify the biological variables that explained variance within the microbial communities. dMMR and pMMR microbial communities were then analyzed separately using a generalized linear mixed effects model that accounted for MMR status, sample location, intra-subject sample correlation, and read depth. Genome-scale metabolic models were then used to generate microbial interaction networks for dMMR and pMMR microbial communities. We assessed global network properties as well as the metabolic influence of each microbe within the dMMR and pMMR networks.\n\nResults\n\nWe demonstrate distinct roles for microbes in dMMR and pMMR CRC. Sulfidogenic Fusobacterium nucleatum and hydrogen sulfide production were significantly enriched in dMMR CRC, but not pMMR CRC. We also surveyed the butyrate-producing microbial species, but did not find a significant difference in predicted or actual butyrate production between dMMR and pMMR microbial communities. Finally, we observed that dMMR microbial communities were predicted to be less stable than pMMR microbial communities. Community stability may play an important role in CRC development, progression, or immune activation within the respective MMR subtypes.\n\nConclusions\n\nIntegrating tumor biology and microbial ecology highlighted distinct microbial, metabolic, and ecological properties unique to dMMR and pMMR CRC. This approach could critically improve our ability to define, predict, prevent, and treat colorectal cancers.

cancer biology↗