Evidence map›Paper›PMID 38358546›Full record

ArticleApplied microbiology and biotechnology2024

A study on the association between gut microbiota, inflammation, and type 2 diabetes.

Nannan Liu, Xuehua Yan, Bohan Lv, Yanxiang Wu, Xuehong Hu, Chunyan Zheng, Siyu Tao, Ruxue Deng, Jinfang Dou, Binfang Zeng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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  13. Advances in fecal microbiota transplantation for the treatment of diabetes mellitus.Frontiers in cellular and infection microbiology · 2024
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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

11 authors at 2 institutions in 1 country.

Nannan Liu *Laboratory of Diabetes Research Center, College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Beijing, 100029, Chaoyang District, China.
Xuehua Yan *College of Traditional Chinese Medicine, Xinjiang Medical University, No.393 Xin Medical Road, Urumqi, 830011, Xinjiang, China.
Bohan LvLaboratory of Diabetes Research Center, College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Beijing, 100029, Chaoyang District, China.
Yanxiang WuLaboratory of Diabetes Research Center, College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Beijing, 100029, Chaoyang District, China.
Xuehong HuLaboratory of Diabetes Research Center, College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Beijing, 100029, Chaoyang District, China.
Chunyan ZhengLaboratory of Diabetes Research Center, College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Beijing, 100029, Chaoyang District, China.
Siyu TaoLaboratory of Diabetes Research Center, College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Beijing, 100029, Chaoyang District, China.
Ruxue DengLaboratory of Diabetes Research Center, College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Beijing, 100029, Chaoyang District, China.
Jinfang DouLaboratory of Diabetes Research Center, College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Beijing, 100029, Chaoyang District, China.
Binfang ZengCollege of Traditional Chinese Medicine, Xinjiang Medical University, No.393 Xin Medical Road, Urumqi, 830011, Xinjiang, China.
Guangjian JiangLaboratory of Diabetes Research Center, College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Beijing, 100029, Chaoyang District, China. bucmjiang@163.com.ORCID http://orcid.org/0000-0001-8394-5904
Beijing University of Chinese Medicine · CNXinjiang Medical University · CN

Funding

National Natural Science Foundation Committee NSFC81774171
6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) was reported to be associated with impaired immune response and alterations in microbial composition and function. However, the underlying mechanism remains elusive. To investigate the association among retinoic acid-inducible gene-I-like receptors (RLRs) signaling pathway, intestinal bacterial microbiome, microbial tryptophan metabolites, inflammation, and a longer course of T2DM, 14 patients with T2DM and 7 healthy controls were enrolled. 16S rRNA amplicon sequencing and untargeted metabolomics were utilized to analyze the stool samples. RNA sequencing (RNA-seq) was carried out on the peripheral blood samples. Additionally, C57BL/6J specific pathogen-free (SPF) mice were used. It was found that the longer course of T2DM could lead to a decrease in the abundance of probiotics in the intestinal microbiome. In addition, the production of microbial tryptophan derivative skatole declined as a consequence of the reduced abundance of related intestinal microbes. Furthermore, low abundances of probiotics, such as Bacteroides and Faecalibacterium, could trigger the inflammatory response by activating the RLRs signaling pathway. The increased level of the member of TNF receptor-associated factors (TRAF) family, nuclear factor kappa-B (NF-κB) activator (TANK), in the animal colon activated nuclear factor kappa B subunit 2 (NFκB2), resulting in inflammatory damage. In summary, it was revealed that the low abundances of probiotics could activate the RLR signaling pathway, which could in turn activate its downstream signaling pathway, NF-κB, highlighting a relationship among gut microbes, inflammation, and a longer course of T2DM. KEY POINTS: Hyperglycemia may suppress tryptophanase activity. The low abundance of Bacteroides combined with the decrease of Dopa decarboxylase (DDC) activity may lead to the decrease of the production of tryptophan microbial derivative skatole, and the low abundance of Bacteroides or reduced skatole may further lead to the increase of blood glucose by downregulating the expression of glucagon-like peptide-1 (GLP1). A low abundance of anti-inflammatory bacteria may induce an inflammatory response by triggering the RLR signaling pathway and then activating its downstream NF-κB signaling pathway in prolonged T2DM.

Indexed as

Diabetes Mellitus, Type 2Gastrointestinal MicrobiomeAnimalsBacteroidesHumansInflammationMiceMice, Inbred C57BLNF-kappa BRNA, Ribosomal, 16SSkatoleTryptophanNF-kappa BRNA, Ribosomal, 16SSkatoleTryptophanGut microbiotaInflammationMulti-omics co-analysisRetinoic acid-inducible gene I-like receptorsTryptophan metabolismType 2 Diabetes mellitus

Identifiers

PMID38358546
PMCPMC10869376
OpenAlexW4391843323

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.