Evidence map›Paper›PMID 41752933›Full record

ArticleLife (Basel, Switzerland)2026

Gut Microbial Diversity and Community Structure Are Largely Similar Between Apparently Healthy Elderly Japanese Males and Females: A Shotgun Metagenomic Study.

M H Mahbub, Ryosuke Hase, Natsu Yamaguchi, Yoshiyuki Asai, Masanori Harada, Naoyuki Ichimura, Yoshihiro Hayakawa, Yusuke Inohana, Yutaka Umakoshi, Ryo Yamaguchi and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Life (Basel, Switzerland), 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. 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

21 authors.

M H MahbubDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, Ube 755-8505, Japan.ORCID 0000-0002-1599-6256
Ryosuke HaseDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, Ube 755-8505, Japan.
Natsu YamaguchiDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, Ube 755-8505, Japan.
Yoshiyuki AsaiDivision of Systems Medicine and Informatics, Research Institute for Cell Design Medical Science, Yamaguchi University, Ube 755-8505, Japan.ORCID 0000-0001-5519-4306
Masanori HaradaDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, Ube 755-8505, Japan.
Naoyuki IchimuraDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, Ube 755-8505, Japan.
Yoshihiro HayakawaShimadzu Corporation, Kyoto 604-8511, Japan.
Yusuke InohanaShimadzu Corporation, Kyoto 604-8511, Japan.
Yutaka UmakoshiShimadzu Corporation, Kyoto 604-8511, Japan.
Ryo YamaguchiShimadzu Corporation, Kyoto 604-8511, Japan.
Ren KimuraAnalytical Science Research, Kao Corporation, Sumida-ku, Tokyo 131-8501, Japan.ORCID 0000-0003-3320-1864
Hisashi TsujimuraAnalytical Science Research, Kao Corporation, Sumida-ku, Tokyo 131-8501, Japan.ORCID 0009-0005-4071-0343
Mitsuharu MatsumotoResearch Laboratories, Kyodo Milk Industry Co., Ltd., Tokyo 190-0182, Japan.ORCID 0000-0002-0378-3077
Fumiaki HigashijimaDepartment of Ophthalmology, Yamaguchi University School of Medicine, Ube 755-8505, Japan.
Takuya YoshimotoDepartment of Ophthalmology, Yamaguchi University School of Medicine, Ube 755-8505, Japan.ORCID 0000-0002-0895-1068
Kazuhiro KimuraDepartment of Ophthalmology, Yamaguchi University School of Medicine, Ube 755-8505, Japan.
Tsunahiko HiranoDepartment of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Ube 755-8505, Japan.ORCID 0000-0002-5475-0806
Keiji OhishiDepartment of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Ube 755-8505, Japan.ORCID 0000-0003-4230-0450
Keiko DoiDepartment of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Ube 755-8505, Japan.ORCID 0000-0003-4485-4510
Kazuto MatsunagaDepartment of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Ube 755-8505, Japan.ORCID 0000-0002-0514-3241
Tsuyoshi TanabeDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, Ube 755-8505, Japan.

Funding

This research was supported by a joint project funded by Yamaguchi Prefecture, Yamaguchi City, Shimadzu Corporation, Kao Corporation, and Kyodo Milk Industry Co., Ltd. It was also supported by a Grant-in-Aid for Scientific Research from the Japan Society 21K10397
6 · The paper itself

Abstract

Sex differences in gut microbiota may affect health and aging, but evidence in elderly populations is limited and inconsistent. This study examined sex-specific similarities and differences in gut microbiota diversity and composition among apparently healthy elderly Japanese individuals using shotgun metagenomic sequencing. A cross-sectional study was conducted in 100 community-dwelling adults aged 75-83 years (54 males, 46 females). Fecal samples underwent metagenomic sequencing. Alpha and beta diversity were assessed across six taxonomic levels, and taxonomic differences were evaluated using non-parametric tests. No significant sex differences were observed in alpha diversity indices (Shannon, Simpson, evenness, Chao1) at any taxonomic level. Beta diversity based on Bray-Curtis dissimilarity and PCoA also showed no sex-specific clustering. However, certain taxa differed in relative abundance. Males showed higher abundances of

Indexed as

elderlygut microbiotamicrobial diversitysex differencesshotgun metagenomics

Identifiers

PMID41752933
PMCPMC12942512

What OpenQuestion holds

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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.