Evidence map›Paper›PMID 32448430›Full record

ReviewAdvances in clinical chemistry2020

Metaproteomic analysis of human gut microbiome in digestive and metabolic diseases.

Sheng Pan, Ru Chen

Abstract readReview
In one paragraph

Review in Advances in clinical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. A Proteogenomic Approach to Unveiling the Complex Biology of the Microbiome.International journal of molecular sciences · 2024
    Review
  10. Review
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

2 authors.

Sheng PanInstitute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, United States. Electronic address: sheng.pan@uth.tmc.edu.
Ru ChenDivision of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States.

Funding

Early detection of pancreatic cancer in diabeticsR01CA180949 · NCI · UNIVERSITY OF WASHINGTON · PI CHEN, RU, PAN, SHENG · 2014 to 2018
$2.9M
Biomarkers for Early Detection of Colorectal Cancer in Ulcerative ColitisR01CA211892 · NCI · UNIVERSITY OF WASHINGTON · PI CHEN, RU · 2017 to 2022
$2.3M
NCI NIH HHS R01 CA180949NCI NIH HHS R01 CA211892
6 · The paper itself

Abstract

Metaproteomics, as a subfield of proteomics, has quickly emerged as a pivotal tool for global characterization of a microbiome system at a functional level. It has been increasingly applied in studying human digestive and metabolic diseases, and provides information-rich data to identify the dysbiosis of human gut microbiome related to healthy or disease states to elucidate the molecular events underlying host-microbiota interplays. While significant technical challenges still exist, this emerging technology has been demonstrated to provide essential information in interrogating functional changes in the human gut microbiome, complementary to metagenomics and metatranscriptomics. This chapter overviews the overall metaproteomic work flow and its recent applications in studying human gut microbiome relevant to digestive and metabolic diseases.

Indexed as

Gastrointestinal MicrobiomeProteomicsDigestive System DiseasesHumansMetabolic DiseasesProteinsProteinsBacteriaBioinformaticsMass spectrometryMetaproteomicsMicrobiomeProteomicsTaxonomic analysis

Identifiers

PMID32448430
PMCPMC9014827

What OpenQuestion holds

Textmetadata
LicenceTDM
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.