Evidence map›Paper›PMID 31132993›Full record

ArticleBMC microbiology2019

Age-stratified comparative analysis of the differences of gut microbiota associated with blood glucose level.

Wu Enqi, Zhao Huanhu, Wu Ritu, Xie Dan, Lin Han, Wang Baili, Shen Gangyi, Li Shuchun

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

Article in BMC microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Wu EnqiSchool of Pharmacy, Minzu University of China, 27 South Street, Zhongguancun, Beijing, 100081, China.
Zhao HuanhuSchool of Pharmacy, Minzu University of China, 27 South Street, Zhongguancun, Beijing, 100081, China.
Wu RituSchool of Pharmacy, Minzu University of China, 27 South Street, Zhongguancun, Beijing, 100081, China.
Xie DanSchool of Pharmacy, Minzu University of China, 27 South Street, Zhongguancun, Beijing, 100081, China.
Lin HanSchool of Pharmacy, Minzu University of China, 27 South Street, Zhongguancun, Beijing, 100081, China.
Wang BailiSchool Hospital, Minzu University of China, Beijing, 100081, China.
Shen GangyiSchool of Pharmacy, Minzu University of China, 27 South Street, Zhongguancun, Beijing, 100081, China. sgy@iccas.ac.cn.
Li ShuchunSchool of Pharmacy, Minzu University of China, 27 South Street, Zhongguancun, Beijing, 100081, China. jason@muc.edu.cn.ORCID 0000-0002-7267-5504
Minzu University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGut bacteria are an important component of the microbiota ecosystem in humans and other animals, and they play important roles in human health. The aim of this study was to investigate the relationship between gut microbiota and multiple demographical-, behavioral-, or biochemical-related factors in subjects with chronic disease. Subjects with a very wide age range who participated in community-based chronic disease prevention and screening programs in China were enrolled. We analyzed the intestinal microbiota composition using 16S rRNA-based high-throughput sequencing of fecal samples, analyzed the association between gut microbiota structure and multiple demographical, behavioral, and biochemical factors, and compared the differences in microbiota composition in age-stratified groups with different blood glucose levels.

resultsOur results showed that both age and blood glucose levels had a significant impact on the gut microbiota structure. We also identified several taxa showed distinct abundance in groups with different glucose levels. Lactobacillus and Bifidobacterium at genus level and their related taxa were more abundant in the GLU high group comparing with GLU normal group and in NGR group comparing with DM group. Further analysis using the age-stratified data showed that blood glucose levels had a more significant impact on the gut microbiota in the ≥76 y age group than in the ≤75 y age group, which indicated that it is necessary to take age into account when conducting such studies. Moreover, we identified several taxa that were highly associated with blood glucose levels in the ≥76 y age group but not in the ≤75 y age group. Within the ≥76 y age group, Lachnospiraceae incertae sedis and Bacteroides were more abundant in the GLU normal group, whereas Lactobacillus and Bifidobacterium at genus level were more abundant in the GLU high group.

conclusionsThis result suggested that taxa that are capable of differentiating blood glucose levels might differ significantly in different age groups.

Indexed as

AgedAged, 80 and overAge FactorsBacteriaBlood GlucoseChinaFecesFemaleGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNABlood GlucoseRNA, Ribosomal, 16S16S rRNA-based high-throughput sequencingAgeBlood glucose levelGut microbiota

Identifiers

PMID31132993
PMCPMC6537452
OpenAlexW2946875334

What OpenQuestion holds

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LicenceCC BY
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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.