Evidence map›Paper›PMID 41266847›Full record

ArticleJournal of gastroenterology2026

An endoscopic real-time, in situ assessment of intestinal permeability in type 2 diabetes: links to microbiota and hyperglycemia.

Yusuke Kimura, Yosuke Minoda, Eikichi Ihara, Haruei Ogino, Kazuki Inamura, Xiaopeng Bai, Yoshimasa Tanaka, Takatoshi Chinen, Ryuichi Sakamoto, Jiro Nakayama and 3 more

Abstract read
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In one paragraph

Article in Journal of gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yusuke KimuraDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Yosuke MinodaDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan. minoda.yosuke.633@m.kyushu-u.ac.jp.ORCID 0000-0001-9567-9738
Eikichi IharaDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Haruei OginoDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Kazuki InamuraDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Xiaopeng BaiDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Yoshimasa TanakaDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Takatoshi ChinenDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Ryuichi SakamotoDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Jiro NakayamaLaboratory of Microbial Technology, Division of Systems Bioengineering, Department of Bioscience and Biotechnology, Faculty of Agriculture, Graduate School, Kyushu University, Fukuoka, Japan.
Keita WatanabeLaboratory of Molecular Neurobiology, Graduate School of Biostudies, Kyoto University, Kyoto, Japan.
Ikuo KimuraLaboratory of Molecular Neurobiology, Graduate School of Biostudies, Kyoto University, Kyoto, Japan.
Yoshihiro OgawaDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.

Funding

JSPS KAKENHI 23K15044the National Cancer Center Research 2023-A-15
6 · The paper itself

Abstract

backgroundAlthough impaired intestinal barrier function is implicated in type 2 diabetes (T2D), its direct in vivo assessment in humans remains challenging, limiting our understanding of the underlying mechanisms. We utilized a novel endoscopic real-time, in situ impedance measurement technique to investigate how hyperglycemia and the intestinal microbiota contribute to intestinal barrier dysfunction in T2D.

methodsWe validated this impedance-based approach against ex vivo transepithelial electrical resistance (TEER) (r = 0.64, p = 0.011) and applied it to 137 patients undergoing colonoscopy. A mechanistic study (22 T2D, 19 controls) analyzed mucosal microbiota, short-chain fatty acid (SCFA) levels, and tight junction protein gene expression. In vitro assays with Caco-2 monolayers evaluated Bacteroides vulgatus (B. vulgatus) supernatant and high-glucose exposure effects on TEER.

resultsPatients with T2D had significantly lower ileal impedance (20.9 Ω·cm

conclusionsTo our knowledge, this study provides the first direct, in situ evidence that intestinal barrier function is impaired in T2D, a condition associated with concurrent microbial and metabolic alterations. Our findings establish intestinal barrier dysfunction as a key pathophysiological feature of T2D, suggesting that interventions aimed at the intestinal barrier function may represent a novel therapeutic strategy.

Indexed as

Diabetes Mellitus, Type 2Gastrointestinal MicrobiomeHyperglycemiaIntestinal MucosaAgedBacteroidesCaco-2 CellsCase-Control StudiesColonoscopyElectric ImpedanceFatty Acids, VolatileFemaleHumansIntestinal Barrier FunctionMaleMiddle AgedFatty Acids, VolatileTight Junction ProteinsTJP1 protein, humanZonula Occludens-1 ProteinDysbiosisEndoscopic impedanceIntestinal permeabilityMetabolic endotoxemia

Identifiers

PMID41266847

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Registered trials

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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.