Evidence map›Paper›PMID 38644205›Full record

ReviewJournal of cachexia, sarcopenia and muscle2024

Metabolomics-driven discovery of therapeutic targets for cancer cachexia.

Pengfei Cui, Xiaoyi Li, Caihua Huang, Donghai Lin

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Whole genome sequence ofFrontiers in microbiology · 2025
    Article
  13. Article
  14. Metabolomics-driven discovery of therapeutic targets for cancer cachexia.Journal of cachexia, sarcopenia and muscle · 2024
    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

4 authors at 4 institutions in 1 country.

Pengfei CuiCollege of Food and Pharmacy, Xuchang University, Xuchang, China.
Xiaoyi LiXuchang Central Hospital, Xuchang, China.
Caihua HuangResearch and Communication Center of Exercise and Health, Xiamen University of Technology, Xiamen, China.
Donghai LinKey Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, China.ORCID 0000-0002-2318-2033
Xiamen University · CNXiamen University of Technology · CNXuchang University · CNXuzhou Central Hospital · CN

Funding

Education Department of Henan Province 24A550016National Natural Science Foundation of China 31971357National Natural Science Foundation of China 32171174Scientific Research Foundation of Xuchang University 962005
6 · The paper itself

Abstract

Cancer cachexia (CC) is a devastating metabolic syndrome characterized by skeletal muscle wasting and body weight loss, posing a significant burden on the health and survival of cancer patients. Despite ongoing efforts, effective treatments for CC are still lacking. Metabolomics, an advanced omics technique, offers a comprehensive analysis of small-molecule metabolites involved in cellular metabolism. In CC research, metabolomics has emerged as a valuable tool for identifying diagnostic biomarkers, unravelling molecular mechanisms and discovering potential therapeutic targets. A comprehensive search strategy was implemented to retrieve relevant articles from primary databases, including Web of Science, Google Scholar, Scopus and PubMed, for CC and metabolomics. Recent advancements in metabolomics have deepened our understanding of CC by uncovering key metabolic signatures and elucidating underlying mechanisms. By targeting crucial metabolic pathways including glucose metabolism, amino acid metabolism, fatty acid metabolism, bile acid metabolism, ketone body metabolism, steroid metabolism and mitochondrial energy metabolism, it becomes possible to restore metabolic balance and alleviate CC symptoms. This review provides a comprehensive summary of metabolomics studies in CC, focusing on the discovery of potential therapeutic targets and the evaluation of modulating specific metabolic pathways for CC treatment. By harnessing the insights derived from metabolomics, novel interventions for CC can be developed, leading to improved patient outcomes and enhanced quality of life.

Indexed as

CachexiaMetabolomicsNeoplasmsBiomarkersEnergy MetabolismHumansBiomarkersCancer cachexiaMetabolic pathwayMetabolomicsTherapeutic target

Identifiers

PMID38644205
PMCPMC11154780
OpenAlexW4395007481

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.