Evidence map›Paper›PMID 36330416›Full record

ArticleAnnals of translational medicine2022

Correlation between gut bacteria

Weidong Li, Lisha Li, Fujie Yang, Qiongying Hu, Daqian Xiong

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

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  19. Protection ofNutrients · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Weidong LiDepartment of Laboratory Medicine, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Lisha LiDepartment of Laboratory Medicine, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Fujie YangDepartment of Laboratory Medicine, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Qiongying HuDepartment of Laboratory Medicine, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Daqian XiongDepartment of Laboratory Medicine, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between gut microbiota and metabolites play an important role in the occurrence and development of type 2 diabetes mellitus (T2DM). However, the interaction between intestinal flora abundance and metabolites is still unclear. The purpose of this study was to investigate the correlation of the interaction network between intestinal flora and fecal metabolites in regulating the occurrence of T2DM. Methods: This a case-control study. T2DM patients with different glucose levels and healthy people were divided into case group and normal controls (NC) group. Fasting plasma and fecal samples were collected from the subjects. Ultra-performance liquid chromatography-tandem mass spectrometry (LC-MS) untargeted fecal metabolomics was used to detect small molecular metabolites within 1,500 Da in two groups. The diversity and richness of intestinal flora were analyzed by the 16SrRNA third-generation full-length sequencing technique and the correlation between intestinal microflora and different metabolites was evaluated. Results: A total of 30 patients with T2DM and 21 NC were included for analysis, glycated hemoglobin (HbAlc) (P<0.001), fasting blood glucose (FBG) (P<0.001), total triglycerides (TG) (P=0.002), and fasting serum insulin (FINS) (P=0.026) were significantly higher in the T2DM group compared with the NC group. The fecal metabolomics profiles of the T2DM group and NC group were significantly different, and 355 different metabolites were identified among the two. Compared with the NC group, the levels of ornithine (P=0.04), L-lysine (P=0.03), glutamate (P=0.01), alpha-linolenic acid (P=0.004), traumatin (P=0.05), and erucic acid (P=0.004) in the T2DM group decreased significantly, while PC[18:3(6Z,9Z,12Z)/24:1(15Z)] (P<0.001) levels increased. Compared with the NC group, the richness of Conclusions: There may be a mutual regulatory network between intestinal bacteria and fecal metabolites in T2DM. The increased abundance of

Indexed as

intestinal florametabolitesType 2 diabetes mellitus (T2DM)

Identifiers

PMID36330416
PMCPMC9622494
OpenAlexW4296523136

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.