Evidence map›Paper›PMID 38342934›Full record

ArticleScientific reports2024

Gut microbiome signature of metabolically healthy obese individuals according to anthropometric, metabolic and inflammatory parameters.

Ho-Kyoung Lee, Nam-Eun Kim, Cheol Min Shin, Tae Jung Oh, Hyuk Yoon, Young Soo Park, Nayoung Kim, Sungho Won, Dong Ho Lee

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

9 authors.

Ho-Kyoung Lee *Department of Internal Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173, Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
Nam-Eun Kim *Institute of Health and Environment, Seoul National University, Seoul, South Korea.
Cheol Min ShinDepartment of Internal Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173, Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea. scm6md@gmail.com.ORCID http://orcid.org/0000-0003-2265-9845
Tae Jung OhDepartment of Internal Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173, Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
Hyuk YoonDepartment of Internal Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173, Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
Young Soo ParkDepartment of Internal Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173, Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
Nayoung KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173, Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
Sungho WonDepartment of Public Health Sciences, Seoul National University, Seoul, South Korea.
Dong Ho LeeDepartment of Internal Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173, Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea. dhljohn@yahoo.com.ORCID http://orcid.org/0000-0002-6376-410X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we investigated the characteristics of gut microbiome in the metabolically healthy obese (MHO) patients, and how they correlate with metabolic and inflammatory profiles. A total of 120 obese people without metabolic comorbidities were recruited, and their clinical phenotypes, metabolic and inflammatory parameters were analysed. The faecal microbial markers originating from bacterial cell and extracellular vesicle (EV) were profiled using 16S rDNA sequencing. The total study population could be classified into two distinct enterotypes (enterotype I: Prevotellaceae-predominant, enterotype II: Akkermansia/Bacteroides-predominant), based on their stool EV-derived microbiome profile. When comparing the metabolic and inflammatory profiles, subjects in enterotype I had higher levels of serum IL-1β [false discovery rate (FDR) q = 0.050] and had a lower level of microbial diversity than enterotype II (Wilcoxon rank-sum test p < 0.01). Subjects in enterotype I had relatively higher abundance of Bacteroidetes, Prevotellaceae and Prevotella-derived EVs, and lower abundance of Actinobacteria, Firmicutes, Proteobacteria, Akkermansia and Bacteroides-derived EVs (FDR q < 0.05). In conclusion, HMO patients can be categorised into two distinct enterotypes by the faecal EV-derived microbiome profile. The enterotyping may be associated with different metabolic and inflammatory profiles. Further studies are warranted to elucidate the long-term prognostic impact of EV-derived microbiome in the obese population.

Indexed as

Gastrointestinal MicrobiomeBacillotaBacteriaBacteroidetesFecesHumansObesityRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID38342934
PMCPMC10859373

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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.