Sapoval, Nicolae, Tanevski, Marko, Treangen, Todd J · Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2024
This study describes a new computer tool called KombOver that analyzes bacteria in the gut more efficiently than previous methods. Researchers tested it on nearly 1,000 gut samples from people with ME/CFS and other conditions to see how microbial communities change in response to illness. The tool works much faster and requires less computing power than earlier versions, making it more practical for large research studies.
Understanding how gut bacteria change in ME/CFS is important because microbiome alterations have been associated with disease pathophysiology. This efficient, open-source tool enables researchers to analyze large patient cohorts and identify microbial patterns that might reveal disease mechanisms or potential biomarkers. Faster analysis makes microbiome research more accessible and could accelerate discovery of ME/CFS-related dysbiosis patterns.
This study develops and validates a computational tool but does not establish that observed microbial changes cause ME/CFS symptoms or determine their clinical significance. It does not prove which specific bacteria are therapeutically important or whether targeting dysbiosis would improve patient outcomes. The study is methodological in nature and does not provide evidence linking microbiome perturbations to particular ME/CFS pathological features.
About the PEM badge: “PEM required” means post-exertional malaise was an explicit required diagnostic criterion for participant inclusion in this study — not that PEM was studied, observed, or discussed. Studies using criteria that do not require PEM (e.g. Fukuda, Oxford) are tagged “PEM not required”. How the atlas works →
The first block is for the primary paper and is the citation you should use in research work. The atlas-snapshot line only applies if you are specifically referring to this atlas’s reading of the paper on the date shown.
Primary citation
Sapoval, Nicolae, Tanevski, Marko, & Treangen, Todd J (2024). KombOver: Efficient k-core and K-truss based characterization of perturbations within the human gut microbiome.. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. https://pubmed.ncbi.nlm.nih.gov/38160303/
BibTeX
@article{mecfsatlas-sapoval-2024-kombover-efficient,
author = {Sapoval, Nicolae and Tanevski, Marko and Treangen, Todd J},
title = {KombOver: Efficient k-core and K-truss based characterization of perturbations within the human gut microbiome.},
journal = {Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing},
year = {2024},
note = {PubMed: 38160303},
url = {https://www.mecfsatlas.com/evidence/sapoval-2024-kombover-efficient},
}Atlas snapshot reference
ME/CFS Atlas. Generator v1 / Scanner v1.4 / policy v0.1. Accessed 2026-05-30. https://www.mecfsatlas.com/evidence/sapoval-2024-kombover-efficient
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