Evidence map›Paper›PMID 31492563›Full record

ArticleEBioMedicine2019

Distinct gut metagenomics and metaproteomics signatures in prediabetics and treatment-naïve type 2 diabetics.

Huanzi Zhong, Huahui Ren, Yan Lu, Chao Fang, Guixue Hou, Ziyi Yang, Bing Chen, Fangming Yang, Yue Zhao, Zhun Shi and 20 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 3 pooled it
7.5field-weighted citation impact, top 2% 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

128 citing papers in PubMed, 3 syntheses or guidelines pooled it, 204 citations in OpenAlex.

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68 more citing papers are in PubMed but not listed here.

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

30 authors at 4 institutions in 3 countries.

Huanzi ZhongBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China; Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark.
Huahui RenBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China; Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark.
Yan LuSuzhou Centre for Disease Control and Prevention, Suzhou 215007, China.
Chao FangBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China; Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark.
Guixue HouBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China.
Ziyi YangBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China.
Bing ChenBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China.
Fangming YangBGI-Shenzhen, Shenzhen 518083, China; BGI Education Centre, University of Chinese Academy of Sciences, Shenzhen 518083, China.
Yue ZhaoBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China.
Zhun ShiBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China.
Baojin ZhouBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China.
Jiegen WuBGI-Shenzhen, Shenzhen 518083, China.
Hua ZouBGI-Shenzhen, Shenzhen 518083, China; BGI Education Centre, University of Chinese Academy of Sciences, Shenzhen 518083, China.
Jin ZiBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China.
Jiayu ChenChina National GeneBank, Shenzhen 518120, China.
Xiao BaoChina National GeneBank, Shenzhen 518120, China.
Yihe HuSuzhou Centre for Disease Control and Prevention, Suzhou 215007, China.
Yan GaoSuzhou Centre for Disease Control and Prevention, Suzhou 215007, China.
Jun ZhangSuzhou Centre for Disease Control and Prevention, Suzhou 215007, China.
Xun XuBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China.
Yong HouBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China.
Huanming YangBGI-Shenzhen, Shenzhen 518083, China; James D. Watson Institute of Genome Sciences, Hangzhou 310058, China.
Jian WangBGI-Shenzhen, Shenzhen 518083, China; James D. Watson Institute of Genome Sciences, Hangzhou 310058, China.
Siqi LiuBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China.
Huijue JiaBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China.
Lise MadsenBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China; Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark; Institute of Marine Research, P.O. Box 7800, 5020 Bergen, Norway.
Susanne BrixDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Soltofts Plads, 2800 Kgs. Lyngby, Denmark.
Karsten KristiansenBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China; Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark. Electronic address: kk@bio.ku.dk.
Fang LiuSuzhou Centre for Disease Control and Prevention, Suzhou 215007, China. Electronic address: 13306135766@163.com.
Junhua LiBGI-Shenzhen, Shenzhen 518083, China; China National GeneBank, Shenzhen 518120, China; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China. Electronic address: lijunhua@genomics.cn.
BGI Group (China) · CNChinese Center For Disease Control and Prevention · CNChina National GeneBank · CNTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe gut microbiota plays important roles in modulating host metabolism. Previous studies have demonstrated differences in the gut microbiome of T2D and prediabetic individuals compared to healthy individuals, with distinct disease-related microbial profiles being reported in groups of different age and ethnicity. However, confounding factors such as anti-diabetic medication hamper identification of the gut microbial changes in disease development.

methodWe used a combination of in-depth metagenomics and metaproteomics analyses of faecal samples from treatment-naïve type 2 diabetic (TN-T2D, n = 77), pre-diabetic (Pre-DM, n = 80), and normal glucose tolerant (NGT, n = 97) individuals to investigate compositional and functional changes of the gut microbiota and the faecal content of microbial and host proteins in Pre-DM and treatment-naïve T2D individuals to elucidate possible host-microbial interplays characterizing different disease stages.

findingsWe observed distinct differences characterizing the gut microbiota of these three groups and validated several key features in an independent TN-T2D cohort. We also demonstrated that the content of several human antimicrobial peptides and pancreatic enzymes differed in faecal samples between three groups.

interpretationOur findings suggest a complex, disease stage-dependent interplay between the gut microbiota and the host and point to the value of metaproteomics to gain further insight into interplays between the gut microbiota and the host. FUND: The study was supported by the National Natural Science Foundation of China (No. 31601073), the National Key Research and Development Program of China (No. 2017YFC0909703) and the Shenzhen Municipal Government of China (No. JCYJ20170817145809215). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Indexed as

Gastrointestinal MicrobiomeMetagenomeMetagenomicsProteomicsChromatography, LiquidDiabetes Mellitus, Type 2FecesHumansTandem Mass SpectrometryMetagenomicsMetaproteomicsPrediabetesTreatment-naïve type 2 diabetes

Identifiers

PMID31492563
PMCPMC6796533
OpenAlexW2972143524

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.