Evidence map›Paper›PMID 39702677›Full record

ReviewApplied microbiology and biotechnology2024

Integration of metabolomics and other omics: from microbes to microbiome.

Daewon Go, Gun-Hwi Yeon, Soo Jin Park, Yujin Lee, Hyun Gi Koh, Hyunjin Koo, Kyoung Heon Kim, Yong-Su Jin, Bong Hyun Sung, Jungyeon Kim

Abstract readReview
In one paragraph

Review in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Apple Pomace Fermented with Non-International journal of molecular sciences · 2026
    Article
  10. Article
  11. Review
  12. Review
  13. A Functional Metabolomics Framework to Track Microbiome Drug Metabolism.bioRxiv : the preprint server for biology · 2026
    Article
  14. Review
  15. Review
  16. Article
  17. Microbial Omics.Progress in molecular and subcellular biology · 2026
    Review
  18. Illuminating diabetesWorld journal of diabetes · 2025
    Review
  19. Review
  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

10 authors.

Daewon GoInstitute of Food Industrialization, Institutes of Green Bioscience and Technology, Seoul National University, Pyeongchang, Gangwon-Do, 25354, Republic of Korea.
Gun-Hwi YeonSynthetic Biology and Bioengineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
Soo Jin ParkDepartment of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, 44195, USA.
Yujin LeeInstitute of Food Industrialization, Institutes of Green Bioscience and Technology, Seoul National University, Pyeongchang, Gangwon-Do, 25354, Republic of Korea.
Hyun Gi KohDepartment of Biological and Chemical Engineering, Hongik University, Sejong, 30016, Republic of Korea.
Hyunjin KooInstitute of Food Industrialization, Institutes of Green Bioscience and Technology, Seoul National University, Pyeongchang, Gangwon-Do, 25354, Republic of Korea.
Kyoung Heon KimDepartment of Biotechnology, Graduate School, Korea University, Seoul, 02841, Republic of Korea.
Yong-Su JinCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Bong Hyun SungSynthetic Biology and Bioengineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea. bhsung@kribb.re.kr.
Jungyeon KimInstitute of Food Industrialization, Institutes of Green Bioscience and Technology, Seoul National University, Pyeongchang, Gangwon-Do, 25354, Republic of Korea. kim131812@snu.ac.kr.ORCID http://orcid.org/0000-0003-1193-0919

Funding

Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries RS-2024-00401586Korea Research Institute of Bioscience and Biotechnology NRF-2018M3A9H3024746Korea Research Institute of Bioscience and Biotechnology NRF-2021M3A9I5023254
6 · The paper itself

Abstract

Metabolomics is a cutting-edge omics technology that identifies metabolites in organisms and their environments and tracks their fluctuations. This field has been extensively utilized to elucidate previously unknown metabolic pathways and to identify the underlying causes of metabolic changes, given its direct association with phenotypic alterations. However, metabolomics inherently has limitations that can lead to false positives and false negatives. First, most metabolites function as intermediates in multiple biochemical reactions, making it challenging to pinpoint which specific reaction is responsible for the observed changes in metabolite levels. Consequently, metabolic processes that are anticipated to vary with metabolite concentrations may not exhibit significant changes, generating false positives. Second, the range of metabolites identified is contingent upon the analytical conditions employed. Until now, no analytical instrument or protocol has been developed that can capture all metabolites simultaneously. Therefore, some metabolites are changed but are not detected, generating false negatives. In this review, we offer a novel and systematic assessment of the limitations of omics technologies and propose-specific strategies to minimize false positives and false negatives through multi-omics approaches. Additionally, we provide examples of multi-omics applications in microbial metabolic engineering and host-microbiome interactions, helping other researchers gain a better understanding of these strategies. KEY POINTS: • Metabolomics identifies metabolic shifts but has inherent false positive/negatives. • Multi-omics approaches help overcome metabolomics' inherent limitations.

Indexed as

MetabolomicsMicrobiotaBacteriaGenomicsMetabolic EngineeringMetabolic Networks and PathwaysMetabolomeGenomicsMetabolomicsMicrobiomeMulti-omicsTranscriptomics

Identifiers

PMID39702677
PMCPMC11659354

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.