Evidence map›Paper›PMID 39599625›Full record

Observational studyNutrients2024

Clinical Phenotypes Associated with the Gut Microbiome in Older Japanese People with Care Needs in a Nursing Home.

Rikako Inoue, Koji Hosomi, Jonguk Park, Haruka Sakaue, Hitomi Yumioka, Hiroko Kamitani, Yoshiharu Kinugasa, Kaori Harano, A Yasmin Syauki, Miki Doi and 5 more

Abstract readObservational Study
In one paragraph

Observational study in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Rikako InoueDepartment of Nutritional Science, Faculty of Health and Welfare Science, Okayama Prefectural University, Soja City 719-1197, Okayama, Japan.ORCID 0000-0002-1723-2444
Koji HosomiMicrobial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Ibaraki City 567-0085, Osaka, Japan.
Jonguk ParkArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Ibaraki City 567-0085, Osaka, Japan.ORCID 0000-0003-4872-385X
Haruka SakaueGraduate School of Health and Welfare Science, Okayama Prefectural University, Soja City 719-1197, Okayama, Japan.
Hitomi YumiokaMicrobial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Ibaraki City 567-0085, Osaka, Japan.
Hiroko KamitaniDepartment of Cardiovascular Medicine and Endocrinology and Metabolism, Faculty of Medicine, Tottori University, Yonago City 683-8503, Tottori, Japan.
Yoshiharu KinugasaDepartment of Cardiovascular Medicine and Endocrinology and Metabolism, Faculty of Medicine, Tottori University, Yonago City 683-8503, Tottori, Japan.
Kaori HaranoDepartment of Human Welfare, Faculty of Human Relations, Otsuma Women's University, Tama City 206-8540, Tokyo, Japan.
A Yasmin SyaukiGraduate School of Health and Welfare Science, Okayama Prefectural University, Soja City 719-1197, Okayama, Japan.
Miki DoiGraduate School of Health and Welfare Science, Okayama Prefectural University, Soja City 719-1197, Okayama, Japan.ORCID 0000-0002-7798-9510
Suzumi KageyamaGraduate School of Health and Welfare Science, Okayama Prefectural University, Soja City 719-1197, Okayama, Japan.
Kazuhiro YamamotoDepartment of Cardiovascular Medicine and Endocrinology and Metabolism, Faculty of Medicine, Tottori University, Yonago City 683-8503, Tottori, Japan.ORCID 0000-0003-2766-4213
Kenji MizuguchiArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Ibaraki City 567-0085, Osaka, Japan.ORCID 0000-0003-3021-7078
Jun KunisawaMicrobial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Ibaraki City 567-0085, Osaka, Japan.
Yasuyuki IrieGraduate School of Veterinary Science, Osaka Metropolitan University, Izumi-Sano City 598-0048, Osaka, Japan.ORCID 0000-0002-2928-1278

Funding

Japan Agency for Medical Research and Development 22ae0121035s0102, 22gm1010006h0004, 22ae0121042h0002, 22ae0121035s0102Japan Society for the Promotion of Science 21K11730Ministry of Health and Welfare of Japan and Public/Private R&D Investment Strategic Expan-sion Progra 20AC5004
6 · The paper itself

Abstract

backgroundFrailty increases the risk of needing nursing care and significantly affects the life and functional prognosis of older individuals. Early detection and tailored interventions are crucial for maintaining and enhancing their life functions. Recognizing distinct clinical phenotypes is essential for devising appropriate interventions. This study aimed to explore diverse frailty phenotypes, focusing on poor nutrition in older Japanese individuals through observational research.

methodsTwenty-one nursing home residents underwent a comprehensive survey covering physical, blood, dietary, cardiac, cognitive, nutritional, nursing care, frailty, agitated behavior, and gut microbiome assessments (high-throughput 16S rRNA gene sequencing). Using clustering analysis with 239 survey items (excluding gut microbiome), participants were classified into subgroups based on clinical phenotypes, and group characteristics were compared through analysis.

resultsIndividuals with moderate or severe frailty and suspected dementia formed subgroups with distinct clinical phenotypes based on nutritional, defecation, and nursing care statuses. The gut microbiome significantly varied among these groups (

conclusionsThis study proposes that the gut microbiome differs based on the clinical phenotype of Japanese older individuals with frailty, and targeted interventions addressing the gut microbiome may contribute to preventing frailty in this population.

Indexed as

FrailtyGastrointestinal MicrobiomeNursing HomesNutritional StatusPhenotypeAgedAged, 80 and overDementiaEast Asian PeopleFemaleFrail ElderlyGeriatric AssessmentHomes for the AgedHumansJapanMaleclinical phenotypefrailtymicrobiomenursing homepoor nutrition

Identifiers

PMID39599625
PMCPMC11597083

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.