Evidence map›Paper›PMID 41689625›Full record

ArticleJournal of gastroenterology2026

Escherichia coli as a gut microbial marker of obesity and its reduction following bariatric treatment.

Tomoyuki Hayashi, Noriho Iida, Kohei Yasuda, Takatoshi Yoshio, Takeshi Terashima, Hajime Takatori, Hideki Moriyama, Yumie Takeshita, Toshinari Takamura, Taro Yamashita

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Article in Journal of gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Tomoyuki HayashiDepartment of Gastroenterology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takaramachi, Kanazawa, Ishikawa, 920-8641, Japan.ORCID 0000-0002-4416-2912
Noriho IidaDepartment of Gastroenterology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takaramachi, Kanazawa, Ishikawa, 920-8641, Japan. niida@m-kanazawa.jp.
Kohei YasudaDepartment of Gastroenterology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takaramachi, Kanazawa, Ishikawa, 920-8641, Japan.
Takatoshi YoshioDepartment of Gastroenterology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takaramachi, Kanazawa, Ishikawa, 920-8641, Japan.
Takeshi TerashimaDepartment of Gastroenterology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takaramachi, Kanazawa, Ishikawa, 920-8641, Japan.
Hajime TakatoriDepartment of Gastroenterology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takaramachi, Kanazawa, Ishikawa, 920-8641, Japan.
Hideki MoriyamaDepartment of Gastrointestinal Surgery, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Ishikawa, Japan.
Yumie TakeshitaDepartment of Endocrinology and Metabolism, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Ishikawa, Japan.
Toshinari TakamuraDepartment of Endocrinology and Metabolism, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Ishikawa, Japan.
Taro YamashitaDepartment of Gastroenterology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takaramachi, Kanazawa, Ishikawa, 920-8641, Japan.

Funding

Japan Society for the Promotion of Science 19K17394Japan Society for the Promotion of Science 23K15036
6 · The paper itself

Abstract

backgroundAlterations in the gut microbiota have been implicated in obesity-related metabolic disorders; however, the disease-relevant microbial features that link gut dysbiosis to metabolic risk remain incompletely defined. In particular, whether quantitative expansion or strain-level divergence of specific taxa underlie metabolic dysfunction is unclear.

methodsWe performed cross-sectional and longitudinal metagenomic analyses of fecal samples from 19 patients with severe obesity undergoing bariatric intervention and 30 healthy donors. Whole-genome shotgun sequencing was combined with quantitative PCR to assess both relative and absolute bacterial abundance. Cultured Escherichia coli isolates were further examined by whole-genome sequencing to evaluate strain-level diversity. Associations between microbial features and metabolic parameters were analyzed.

resultsThe gut microbiota of patients with severe obesity was taxonomically and functionally distinct from that of healthy donors. Among altered taxa, E. coli was significantly enriched in obesity and showed a consistent and marked reduction at 6 months post-intervention, irrespective of procedure type. Absolute E. coli abundance quantified by qPCR decreased significantly following intervention. In contrast, whole-genome analysis revealed no clear genotypic clustering of E. coli strains by host phenotype. Notably, E. coli abundance correlated positively with HbA1c and systolic blood pressure and negatively with serum albumin levels, whereas global microbial diversity and KEGG-based metabolic pathways showed limited longitudinal change.

conclusionsQuantitative expansion of gut E. coli, rather than strain-specific genomic divergence, is associated with metabolic risk in severe obesity and is consistently reduced at 6 months after bariatric intervention. These findings suggest that microbial load-dependent effects of E. coli may be associated with obesity-related metabolic dysfunction and represent a potential biomarker. This exploratory, single-center study is hypothesis-generating and warrants further validation in larger, multi-center cohorts as well as interventional studies using preclinical animal models.

Indexed as

Bariatric SurgeryEscherichia coliGastrointestinal MicrobiomeObesityObesity, MorbidAdultBiomarkersCross-Sectional StudiesDysbiosisFecesFemaleHumansLongitudinal StudiesMaleMiddle AgedBiomarkersBariatric surgeryEscherichia coliGastrointestinal microbiomeMetabolic dysfunction-associated steatohepatitisObesity

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.