Evidence map›Paper›PMID 39534557›Full record

ReviewMedComm2024

Metabolomics-driven approaches for identifying therapeutic targets in drug discovery.

Shanshan Pan, Luan Yin, Jie Liu, Jie Tong, Zichuan Wang, Jiahui Zhao, Xuesong Liu, Yong Chen, Jing Miao, Yuan Zhou and 2 more

Abstract readReview
In one paragraph

Review in MedComm, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Synergistic lipase inhibition by Garcinia parvifolia metabolites: aMetabolomics : Official journal of the Metabolomic Society · 2026
    Article
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  10. New Horizons in Metabolic Health: Unveiling the Future of Drug Discovery and Development.Endocrine, metabolic & immune disorders drug targets · 2026
    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

12 authors.

Shanshan PanResearch Center for Clinical Pharmacy College of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang China.ORCID https://orcid.org/0009-0003-8176-0676
Luan YinCollege of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang China.
Jie LiuCollege of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang China.
Jie TongDepartment of Radiology and Biomedical Imaging PET Center Yale School of Medicine New Haven Connecticut USA.
Zichuan WangResearch Center for Clinical Pharmacy College of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang China.
Jiahui ZhaoSchool of Basic Medical Sciences Zhejiang Chinese Medical University Hangzhou China.
Xuesong LiuCollege of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang China.
Yong ChenCollege of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang China.
Jing MiaoResearch Center for Clinical Pharmacy College of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang China.
Yuan ZhouSchool of Basic Medical Sciences Zhejiang Chinese Medical University Hangzhou China.
Su ZengResearch Center for Clinical Pharmacy College of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang China.
Tengfei XuResearch Center for Clinical Pharmacy College of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of therapeutic targets can directly elucidate the mechanism and effect of drug therapy, which is a central step in drug development. The disconnect between protein targets and phenotypes under complex mechanisms hampers comprehensive target understanding. Metabolomics, as a systems biology tool that captures phenotypic changes induced by exogenous compounds, has emerged as a valuable approach for target identification. A comprehensive overview was provided in this review to illustrate the principles and advantages of metabolomics, delving into the application of metabolomics in target identification. This review outlines various metabolomics-based methods, such as dose-response metabolomics, stable isotope-resolved metabolomics, and multiomics, which identify key enzymes and metabolic pathways affected by exogenous substances through dose-dependent metabolite-drug interactions. Emerging techniques, including single-cell metabolomics, artificial intelligence, and mass spectrometry imaging, are also explored for their potential to enhance target discovery. The review emphasizes metabolomics' critical role in advancing our understanding of disease mechanisms and accelerating targeted drug development, while acknowledging current challenges in the field.

Indexed as

artificial intelligencedrug developmentmetabolomicssingle‐cell metabolomicstarget identification

Identifiers

PMID39534557
PMCPMC11555024

What Socratic 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 Socratic graph.