Evidence map›Paper›PMID 36689162›Full record

ArticleApplied biochemistry and biotechnology2023

Fecal Protein Analysis of Dusp6 Knockout C57BL/6J Mice by Metaproteomics.

Mei-Chi Lin, Zi-Yun Peng, Hsiu-Chuan Chou, Yi-Ting Tsai, Yu-Shan Wei, Yi-Shiuan Wang, Yeou-Lih Wang, Shing-Jyh Chang, Hong-Lin Chan

Abstract read
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In one paragraph

Article in Applied biochemistry and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

9 authors at 2 institutions in 1 country.

Mei-Chi LinDepartment of Anesthesiology, Mackay Memorial Hospital, Mackay Medicine, Nursing and Management College, and Mackay Medical College, Taipei, Taiwan.
Zi-Yun PengDepartment of Medical Science and Institute of Bioinformatics and Structural Biology, National Tsing Hua University, No.101, Kuang-Fu Rd. Sec.2, Hsinchu, 30013, Taiwan.
Hsiu-Chuan ChouInstitute of Analytical and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan.
Yi-Ting TsaiDepartment of Medical Science and Institute of Bioinformatics and Structural Biology, National Tsing Hua University, No.101, Kuang-Fu Rd. Sec.2, Hsinchu, 30013, Taiwan.
Yu-Shan WeiDepartment of Medical Science and Institute of Bioinformatics and Structural Biology, National Tsing Hua University, No.101, Kuang-Fu Rd. Sec.2, Hsinchu, 30013, Taiwan.
Yi-Shiuan WangDepartment of Medical Science and Institute of Bioinformatics and Structural Biology, National Tsing Hua University, No.101, Kuang-Fu Rd. Sec.2, Hsinchu, 30013, Taiwan.
Yeou-Lih WangDepartment of Anesthesiology, Mackay Memorial Hospital, Mackay Medicine, Nursing and Management College, and Mackay Medical College, Taipei, Taiwan.
Shing-Jyh ChangDepartment of Obstetrics and Gynecology, Hsinchu MacKay Memorial Hospital, Hsinchu, Taiwan.
Hong-Lin ChanDepartment of Medical Science and Institute of Bioinformatics and Structural Biology, National Tsing Hua University, No.101, Kuang-Fu Rd. Sec.2, Hsinchu, 30013, Taiwan. hlchan@life.nthu.edu.tw.ORCID http://orcid.org/0000-0001-9675-2554
National Tsing Hua University · TWMackay Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The research of obesity and gut microbiota has been carried out for years, yet the study process was in a slow pace for several challenges to conquer. As a complex status of disorder, the contributing factors refer to gut microbiota about obesity were controversial in a wide range. In terms of proteomics, 2D-DIGE technology is a powerful method for this study to identify fecal proteins from lean microbiota in Dusp6 knockout C57BL/6J mice, exploring the protein markers of the ability resisting to diet-induced obesity (DIO) transferred to the host mice after fecal microbiota transplantation. The results showed that the fecal microbiota expressed 289 proteins differentially with 23 proteins identified, which were considered to be the reasons to assist the microbiota exhibiting distinct behavior. By means of proteomics technology, we had found that differentially expressed proteins of lean microbiota determined the lean microbial behavior might be able to resist leaky gut. To sum up our study, the proteomics strategies offered as a tool to demonstrate and analyze the features of lean microbiota, providing new speculations in the behavior about the gut microbiota reacting to DIO.

Indexed as

MicrobiotaObesityAnimalsDietMiceMice, Inbred C57BLMice, KnockoutDiet-induced obesityFecal proteingut microbiotaMALDI-TOF MSMetaproteomics

Identifiers

PMID36689162
OpenAlexW4317726956

What OpenQuestion holds

Textmetadata
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.