Evidence map›Paper›PMID 36693863›Full record

ArticleNPJ biofilms and microbiomes2023

Data-independent acquisition boosts quantitative metaproteomics for deep characterization of gut microbiota.

Jinzhi Zhao, Yi Yang, Hua Xu, Jianxujie Zheng, Chengpin Shen, Tian Chen, Tao Wang, Bing Wang, Jia Yi, Dan Zhao and 4 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

14 authors.

Jinzhi Zhao *Department of Chemistry, Shanghai Stomatological Hospital, Fudan University, 200000, Shanghai, China.
Yi Yang *Department of Chemistry, Shanghai Stomatological Hospital, Fudan University, 200000, Shanghai, China.ORCID 0000-0002-1330-9985
Hua Xu *Department of Core Facility of Basic Medical Sciences, and Department of Psychiatry of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 200000, Shanghai, China.
Jianxujie ZhengDepartment of Chemistry, Shanghai Stomatological Hospital, Fudan University, 200000, Shanghai, China.ORCID 0000-0002-5025-2156
Chengpin ShenShanghai Omicsolution Co., Ltd, 201100, Shanghai, China.
Tian ChenChanghai Hospital, The Naval Military Medical University, 200433, Shanghai, China.
Tao WangDepartment of Core Facility of Basic Medical Sciences, and Department of Psychiatry of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 200000, Shanghai, China.
Bing WangCollege of Food Science and Technology, Shanghai Ocean University, 201306, Shanghai, China.
Jia YiDepartment of Chemistry, Shanghai Stomatological Hospital, Fudan University, 200000, Shanghai, China.
Dan ZhaoDepartment of Chemistry, Shanghai Stomatological Hospital, Fudan University, 200000, Shanghai, China.
Enhui WuDepartment of Chemistry, Shanghai Stomatological Hospital, Fudan University, 200000, Shanghai, China.
Qin QinChanghai Hospital, The Naval Military Medical University, 200433, Shanghai, China. qinq78@163.com.ORCID 0000-0003-0650-4288
Li XiaDepartment of Core Facility of Basic Medical Sciences, and Department of Psychiatry of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 200000, Shanghai, China. lixia@shsmu.edu.cn.ORCID 0000-0001-7236-0855
Liang QiaoDepartment of Chemistry, Shanghai Stomatological Hospital, Fudan University, 200000, Shanghai, China. liang_qiao@fudan.edu.cn.ORCID 0000-0002-6233-8459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metaproteomics can provide valuable insights into the functions of human gut microbiota (GM), but is challenging due to the extreme complexity and heterogeneity of GM. Data-independent acquisition (DIA) mass spectrometry (MS) has been an emerging quantitative technique in conventional proteomics, but is still at the early stage of development in the field of metaproteomics. Herein, we applied library-free DIA (directDIA)-based metaproteomics and compared the directDIA with other MS-based quantification techniques for metaproteomics on simulated microbial communities and feces samples spiked with bacteria with known ratios, demonstrating the superior performance of directDIA by a comprehensive consideration of proteome coverage in identification as well as accuracy and precision in quantification. We characterized human GM in two cohorts of clinical fecal samples of pancreatic cancer (PC) and mild cognitive impairment (MCI). About 70,000 microbial proteins were quantified in each cohort and annotated to profile the taxonomic and functional characteristics of GM in different diseases. Our work demonstrated the utility of directDIA in quantitative metaproteomics for investigating intestinal microbiota and its related disease pathogenesis.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaBacteriaHumansProteomeProteomicsProteome

Identifiers

PMID36693863
PMCPMC9873935

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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.