Evidence map›Paper›PMID 42722700›Full record

ArticleExperimental & molecular medicine2026

Linking visceral fat accumulation to gut microbiota: key bacterial taxa and their roles in the glycogen synthesis pathway.

Nam-Eun Kim, Beomki Cho, Yunjae Kim, Gihyeon Kim, Ga-Eun Yie, Haeon Kim, Jaesung Park, Hyun Kim, Chanyoung Jeong, Minji Lee and 14 more

Abstract read
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In one paragraph

Article in Experimental & molecular medicine, 2026. 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

24 authors.

Nam-Eun Kim *Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4155-2584
Beomki Cho *Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Yunjae KimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Gihyeon KimGenomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Republic of Korea.
Ga-Eun YieInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
Haeon KimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Jaesung ParkDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Hyun KimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Chanyoung JeongDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Minji LeeDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Yanghyun JooDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Sua LimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Sihyeon ParkDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Yeji HongDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Kyungchan MinDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Belong ChoDepartment of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Jae Moon YunDepartment of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Eun Sung JungHEM Pharma, Gyeonggi-do, Republic of Korea.
Yosep JiHEM Pharma, Gyeonggi-do, Republic of Korea.
Seongbeom ChoCollege of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, Republic of Korea.
Je Kyung SeongLaboratory of Developmental Biology and Genomics, Research Institute for Veterinary Science, and BK21 PLUS Program for Creative Veterinary Science Research, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Hansoo ParkDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea. hspark27@gist.ac.kr.
Jin-Ho ParkDepartment of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea. pjhn@snu.ac.kr.
Sungho WonInstitute of Health and Environment, Seoul National University, Seoul, Republic of Korea. won1@snu.ac.kr.ORCID http://orcid.org/0000-0001-5751-5089

Funding

Ministry of Health, Welfare and Family Affairs | Korea National Institute of Health (KNIH) 2024-ER2108-00Ministry of Science, ICT and Future Planning (MSIP) 2022R1A2C2008976Ministry of Science, ICT and Future Planning (MSIP) RS-2023-00228315National Research Foundation of Korea (NRF) KSC-2024-CRE-0514National Research Foundation of Korea (NRF) RS-2021-NR060088
6 · The paper itself

Abstract

Obesity, marked by visceral fat accumulation, has a complex relationship with the gut microbiome that impacts body weight and fat accumulation. However, previous studies did not account for fat distribution, reflecting only overall fat mass, leaving specifics of this relationship partially understood. Here we analyzed the mechanistic links between visceral fat and the microbiome in a large cohort of healthy Koreans. Using permutational multivariate analysis of variance and prediction modeling, we examined associations between microbial profiles and metabolic variables including insulin, triglycerides, waist circumference and visceral fat. The strongest correlations were noted with specific enterotypes. Shotgun sequencing revealed that visceral fat is linked to the glycogen synthesis pathway influenced by Dorea longicatena and Bifidobacterium adolescentis. This suggests that these specific microbial signatures and their associated functional potential play a role in visceral fat-related obesity. To validate these findings, we conducted an in vivo study using diet-induced obesity mouse model. Oral administration of D. longicatena or B. adolescentis significantly promoted body weight gain and fat mass expansion and induced hepatic lipogenic gene upregulation. The prevalence of these strains in Korean and American populations highlights their global relevance, contributing to the development of personalized treatments and advanced health strategies.

Indexed as

BacteriaGastrointestinal MicrobiomeGlycogenIntra-Abdominal FatObesityAnimalsBifidobacterium adolescentisFemaleHumansMaleMiceGlycogen

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.