Evidence map›Paper›PMID 28606141›Full record

ReviewJournal of biomedical science2017

Metaproteomic analysis of human gut microbiota: where are we heading?

Pey Yee Lee, Siok-Fong Chin, Hui-Min Neoh, Rahman Jamal

Abstract readReview
In one paragraph

Review in Journal of biomedical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Article
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  4. A Proteogenomic Approach to Unveiling the Complex Biology of the Microbiome.International journal of molecular sciences · 2024
    Review
  5. Novel Techniques and Models for Studying the Role of the Gut Microbiota in Drug Metabolism.European journal of drug metabolism and pharmacokinetics · 2024
    Review
  6. Review
  7. Article
  8. Article
  9. Article
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  11. Article
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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

4 authors.

Pey Yee LeeUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, 56000, Cheras, Kuala Lumpur, Malaysia.
Siok-Fong ChinUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, 56000, Cheras, Kuala Lumpur, Malaysia. chinsiokfong@ppukm.ukm.edu.my.
Hui-Min NeohUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, 56000, Cheras, Kuala Lumpur, Malaysia.
Rahman JamalUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, 56000, Cheras, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human gut is home to complex microbial populations that change dynamically in response to various internal and external stimuli. The gut microbiota provides numerous functional benefits that are crucial for human health but in the setting of a disturbed equilibrium, the microbial community can cause deleterious outcomes such as diseases and cancers. Characterization of the functional activities of human gut microbiota is fundamental to understand their roles in human health and disease. Metaproteomics, which refers to the study of the entire protein collection of the microbial community in a given sample is an emerging area of research that provides informative details concerning functional aspects of the microbiota. In this mini review, we present a summary of the progress of metaproteomic analysis for studying the functional role of gut microbiota. This is followed by an overview of the experimental approaches focusing on fecal specimen for metaproteomics and is concluded by a discussion on the challenges and future directions of metaproteomic research.

Indexed as

Gastrointestinal MicrobiomeProteomeProteomicsHumansProteomeGut MicrobiotaHumanMetaproteomicsMulti-omicsTechnologies

Identifiers

PMID28606141
PMCPMC5469034

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.