Evidence map›Paper›PMID 36246928›Full record

ArticleFrontiers in endocrinology2022

Gut microbiota is associated with differential metabolic characteristics: A study on a defined cohort of Africans and Chinese.

Paul Nizigiyimana, Boya Xu, Lerong Liu, Liping Luo, Tingting Liu, Meng Jiang, Zehao Liu, Changjun Li, Xianghang Luo, Minxiang Lei

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

10 authors at 3 institutions in 1 country.

Paul NizigiyimanaDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Boya XuDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Lerong LiuDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Liping LuoDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Tingting LiuDepartment of Endocrinology, Haikou Hospital Affiliated to Xiangya School of Medicine, Central South University, Haikou, China.
Meng JiangDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Zehao LiuDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Changjun LiDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Xianghang LuoDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Minxiang LeiDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Central South University · CNXiangya Hospital Central South University · CNHainan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study intended to determine the associations between gut microbiota and glucose response in healthy individuals and analyze the connection between the gut microbiome and glucose-metabolism-related parameters. Methods: Fecal bacterial composition and anthropometric, body composition, body fat distribution, and biochemical measures were analyzed. A 75-g oral glucose tolerance test (OGTT) was given to each participant to investigate changes in glucagon-like peptide 1 (GLP-1), insulin, and glucose. The whole body fat and the regions of interest of local body composition were analyzed using dual-energy X-ray absorptiometry (DEXA), and gut microbiota composition was assessed through variable regions (V3-V4) of the bacterial 16s ribosomal RNA gene using high-throughput sequencing techniques. Spearman correlation analysis was used to evaluate the association between gut microbiota and clinical and metabolic changes. Results: The number of operational taxonomic units (OTUs) demonstrated a reduction in the diversity and composition of gut microbiota associated with enhanced adiposity, dyslipidemia, insulin resistance, and hyperglycemia. The alpha diversity revealed that microbiota diversity, richness, and composition were higher in the African group and lower in the Chinese group. Principal coordinates analysis (PCoA) plots of beta diversity showed significant variability in gut microbial community structure between the two groups ( Conclusion: Our data suggest that there is an interaction between gut microbiota, host physiology, and glucometabolic pathways, and this could contribute to adiposity and pathophysiology of hyperlipidemia, insulin resistance, and hyperglycemia. These findings provide an important basis for determining the relation between the gut microbiota and the pathogenesis of various metabolic disorders.

Indexed as

Gastrointestinal MicrobiomeHyperglycemiaInsulin ResistanceInsulinsChinaGlucagon-Like Peptide 1GlucoseHumansGlucagon-Like Peptide 1GlucoseInsulins16S rRNA gene sequencingAfricansbacterial communitiesChinesegut microbiotahealthy

Identifiers

PMID36246928
PMCPMC9554505
OpenAlexW4297545776

What OpenQuestion 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 OpenQuestion graph.