Evidence map›Paper›PMID 39286773›Full record

ArticleGastroenterology report2024

Strain- and sex-specific differences in intestinal microhemodynamics and gut microbiota composition.

Sunjing Fu, Mengting Xu, Bing Wang, Bingwei Li, Yuan Li, Yingyu Wang, Xueting Liu, Hao Ling, Qin Wang, Xiaoyan Zhang and 3 more

Abstract read
In one paragraph

Article in Gastroenterology report, 2024. 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. Article
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.

Sunjing FuInstitute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Mengting XuInstitute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Bing WangInstitute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Bingwei LiInstitute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Yuan LiInstitute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Yingyu WangInstitute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Xueting LiuInstitute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Hao LingDepartment of Radiology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, P. R. China.
Qin WangInstitute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Xiaoyan ZhangInstitute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Ailing LiInstitute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Xu ZhangLaboratory of Electron Microscopy, Ultrastructural Pathology Center, Peking University First Hospital, Beijing, P. R. China.
Mingming LiuInstitute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.ORCID https://orcid.org/0000-0002-6750-5068

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intestinal microcirculation is a critical interface for nutrient exchange and energy transfer, and is essential for maintaining physiological integrity. Our study aimed to elucidate the relationships among intestinal microhemodynamics, genetic background, sex, and microbial composition. Methods: To dissect the microhemodynamic landscape of the BALB/c, C57BL/6J, and KM mouse strains, laser Doppler flowmetry paired with wavelet transform analysis was utilized to determine the amplitude of characteristic oscillatory patterns. Microbial consortia were profiled using 16S rRNA gene sequencing. To augment our investigation, a broad-spectrum antibiotic regimen was administered to these strains to evaluate the impact of gut microbiota depletion on intestinal microhemodynamics. Immunohistochemical analyses were used to quantify platelet endothelial cell adhesion molecule-1 (PECAM-1), estrogen receptor α (ESR1), and estrogen receptor β (ESR2) expression. Results: Our findings revealed strain-dependent and sex-related disparities in microhemodynamic profiles and characteristic oscillatory behaviors. Significant differences in the gut microbiota contingent upon sex and genetic lineage were observed, with correlational analyses indicating an influence of the microbiota on microhemodynamic parameters. Following antibiotic treatment, distinct changes in blood perfusion levels and velocities were observed, including a reduction in female C57BL/6J mice and a general decrease in perfusion velocity. Enhanced erythrocyte aggregation and modulated endothelial function post-antibiotic treatment indicated that a systemic response to microbiota depletion impacted cardiac amplitude. Immunohistochemical data revealed strain-specific and sex-specific PECAM-1 and ESR1 expression patterns that aligned with observed intestinal microhemodynamic changes. Conclusions: This study highlights the influence of both genetic and sex-specific factors on intestinal microhemodynamics and the gut microbiota in mice. These findings also emphasize a substantial correlation between intestinal microhemodynamics and the compositional dynamics of the gut bacterial community.

Indexed as

gut microbiotaintestinal microhemodynamicsmouse strainssex differenceswavelet transform

Identifiers

PMID39286773
PMCPMC11405090

What OpenQuestion holds

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LicenceCC BY-NC
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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.