Evidence map›Paper›PMID 33671370›Full record

ReviewBiomolecules2021

Challenges and Perspective in Integrated Multi-Omics in Gut Microbiota Studies.

Eric Banan-Mwine Daliri, Fred Kwame Ofosu, Ramachandran Chelliah, Byong H Lee, Deog-Hwan Oh

Abstract readReview
In one paragraph

Review in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

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

  1. Worldwide research trends on theFrontiers in immunology · 2026
    Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Microbial Omics.Progress in molecular and subcellular biology · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. The Gut Mycobiome for Precision Medicine.Journal of fungi (Basel, Switzerland) · 2025
    Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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

5 authors.

Eric Banan-Mwine DaliriDepartment of Food Science and Biotechnology, Kangwon National University, Chuncheon 200-701, Korea.
Fred Kwame OfosuDepartment of Food Science and Biotechnology, Kangwon National University, Chuncheon 200-701, Korea.
Ramachandran ChelliahDepartment of Food Science and Biotechnology, Kangwon National University, Chuncheon 200-701, Korea.
Byong H LeeSportBiomics, Sacramento Inc., California, CA 95660, USA.ORCID 0000-0001-9142-2273
Deog-Hwan OhDepartment of Food Science and Biotechnology, Kangwon National University, Chuncheon 200-701, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of omic technology has made it possible to identify viable but unculturable micro-organisms in the gut. Therefore, application of multi-omic technologies in gut microbiome studies has become invaluable for unveiling a comprehensive interaction between these commensals in health and disease. Meanwhile, despite the successful identification of many microbial and host-microbial cometabolites that have been reported so far, it remains difficult to clearly identify the origin and function of some proteins and metabolites that are detected in gut samples. However, the application of single omic techniques for studying the gut microbiome comes with its own challenges which may be overcome if a number of different omics techniques are combined. In this review, we discuss our current knowledge about multi-omic techniques, their challenges and future perspective in this field of gut microbiome studies.

Indexed as

Gastrointestinal MicrobiomeGenomeProteomeTranscriptomeAlgorithmsAnimalsHumansInflammationMass SpectrometryMetabolomicsMicrobiological TechniquesMolecular BiologyPhylogenyProteomicsProteomebiomarkersmetagenomicsmetatranscriptomicsMicrobiomemulti-omics

Identifiers

PMID33671370
PMCPMC7922017

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.