Evidence map›Paper›PMID 30627872›Full record

ReviewBiophysical reviews2019

Host and microbiome multi-omics integration: applications and methodologies.

Qing Wang, Kaicen Wang, Wenrui Wu, Eleni Giannoulatou, Joshua W K Ho, Lanjuan Li

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Recent Advances inBiology · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. 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

6 authors.

Qing WangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No.79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Kaicen WangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No.79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Wenrui WuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No.79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Eleni GiannoulatouVictor Chang Cardiac Research Institute, Darlinghurst, NSW, 2010, Australia.
Joshua W K HoVictor Chang Cardiac Research Institute, Darlinghurst, NSW, 2010, Australia.
Lanjuan LiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No.79 Qingchun Road, Hangzhou, 310003, Zhejiang, China. ljli@zju.edu.cn.

Funding

National Heart Foundation of Australia 100848National Heart Foundation of Australia 101204National Natural Science Foundation of China 81330011, 81330014, 81790631, 81790633, 81570512, and 81121002Science Fund for Creative Research Groups 81721091
6 · The paper itself

Abstract

The study of the microbial community-the microbiome-associated with a human host is a maturing research field. It is increasingly clear that the composition of the human's microbiome is associated with various diseases such as gastrointestinal diseases, liver diseases and metabolic diseases. Using high-throughput technologies such as next-generation sequencing and mass spectrometry-based metabolomics, we are able to comprehensively sequence the microbiome-the metagenome-and associate these data with the genomic, epigenomics, transcriptomic and metabolic profile of the host. Our review summarises the application of integrating host omics with microbiome as well as the analytical methods and related tools applied in these studies. In addition, potential future directions are discussed.

Indexed as

Big dataEpigenomeGenomeMetabolomeMicrobiomeNetwork analysisTranscriptome

Identifiers

PMID30627872
PMCPMC6381360

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.