Evidence map›Paper›PMID 38945961›Full record

ReviewExperimental & molecular medicine2024

Genome-resolved metagenomics: a game changer for microbiome medicine.

Nayeon Kim, Junyeong Ma, Wonjong Kim, Jungyeon Kim, Peter Belenky, Insuk Lee

Abstract readReview
In one paragraph

Review in Experimental & molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 2 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

73 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Intestinal-Bone Axis Mediated byMicroorganisms · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. AApplied and environmental microbiology · 2026
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. ZipStrain Enables Rapid and Precise Strain-Resolved Metagenomics.bioRxiv : the preprint server for biology · 2026
    Article
  15. Diet-vaccine interactions: SQM Iron andApplied and environmental microbiology · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

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.

Nayeon KimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.
Junyeong MaDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0003-2069-3783
Wonjong KimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.
Jungyeon KimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.
Peter BelenkyDepartment of Molecular Microbiology and Immunology, Brown University, Providence, RI, 02912, USA. peter_belenky@brown.edu.
Insuk LeeDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea. insuklee@yonsei.ac.kr.ORCID http://orcid.org/0000-0003-3146-6180

Funding

Relating impacts of antibiotics on the gut metabolome and microbiome to host physiology and weight.R01DK125382 · NIDDK · BROWN UNIVERSITY · PI BELENKY, PETER · 2020 to 2024
$2.7M
Korea Health Industry Development Institute (KHIDI) HI19C1344NIDDK NIH HHS R01 DK125382
6 · The paper itself

Abstract

Recent substantial evidence implicating commensal bacteria in human diseases has given rise to a new domain in biomedical research: microbiome medicine. This emerging field aims to understand and leverage the human microbiota and derivative molecules for disease prevention and treatment. Despite the complex and hierarchical organization of this ecosystem, most research over the years has relied on 16S amplicon sequencing, a legacy of bacterial phylogeny and taxonomy. Although advanced sequencing technologies have enabled cost-effective analysis of entire microbiota, translating the relatively short nucleotide information into the functional and taxonomic organization of the microbiome has posed challenges until recently. In the last decade, genome-resolved metagenomics, which aims to reconstruct microbial genomes directly from whole-metagenome sequencing data, has made significant strides and continues to unveil the mysteries of various human-associated microbial communities. There has been a rapid increase in the volume of whole metagenome sequencing data and in the compilation of novel metagenome-assembled genomes and protein sequences in public depositories. This review provides an overview of the capabilities and methods of genome-resolved metagenomics for studying the human microbiome, with a focus on investigating the prokaryotic microbiota of the human gut. Just as decoding the human genome and its variations marked the beginning of the genomic medicine era, unraveling the genomes of commensal microbes and their sequence variations is ushering us into the era of microbiome medicine. Genome-resolved metagenomics stands as a pivotal tool in this transition and can accelerate our journey toward achieving these scientific and medical milestones.

Indexed as

MetagenomeMetagenomicsMicrobiotaAnimalsBacteriaGastrointestinal MicrobiomeGenome, BacterialHumans

Identifiers

PMID38945961
PMCPMC11297344

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.