Evidence map›Paper›PMID 39831120›Full record

ReviewFrontiers in microbiology2024

Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications.

Dongdong Duan, Mingyu Wang, Jinyi Han, Mengyu Li, Zhenyu Wang, Shenping Zhou, Wenshui Xin, Xinjian Li

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Review
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  9. Gut-testis axis: how microbiota influence male reproductive health.Asian biomedicine : research, reviews and news · 2026
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  10. Article
  11. Review
  12. Article
  13. Review
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  15. Microbial Contributions to Primate Reproduction.Evolutionary anthropology · 2026
    Review
  16. Review
  17. Review
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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

8 authors.

Dongdong Duan *Sanya Institute, Hainan Academy of Agricultural, Sanya, China.
Mingyu Wang *College of Animal Sciences and Technology, Henan Agricultural University, Zhengzhou, China.
Jinyi HanSanya Institute, Hainan Academy of Agricultural, Sanya, China.
Mengyu LiSanya Institute, Hainan Academy of Agricultural, Sanya, China.
Zhenyu WangSanya Institute, Hainan Academy of Agricultural, Sanya, China.
Shenping ZhouSanya Institute, Hainan Academy of Agricultural, Sanya, China.
Wenshui XinSanya Institute, Hainan Academy of Agricultural, Sanya, China.
Xinjian LiSanya Institute, Hainan Academy of Agricultural, Sanya, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota actually shares the host's physical space and affects the host's physiological functions and health indicators through a complex network of interactions with the host. However, its role as a determinant of host health and disease is often underestimated. With the emergence of new technologies including next-generation sequencing (NGS) and advanced techniques such as microbial community sequencing, people have begun to explore the interaction mechanisms between microorganisms and hosts at various omics levels such as genomics, transcriptomics, metabolomics, and proteomics. With the enrichment of multi-omics integrated analysis methods based on the microbiome, an increasing number of complex statistical analysis methods have also been proposed. In this review, we summarized the multi-omics research analysis methods currently used to study the interaction between the microbiome and the host. We analyzed the advantages and limitations of various methods and briefly introduced their application progress.

Indexed as

host genomeintestinal microbiotametabolomeMGWASmulti-omics integrated analysis

Identifiers

PMID39831120
PMCPMC11739165

What OpenQuestion holds

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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.