Evidence map›Paper›PMID 36916532›Full record

ReviewEMBO reports2023

Metabolomics meets systems immunology.

Jianbo Fu, Feng Zhu, Cheng-Jian Xu, Yang Li

Open access · bronzeAbstract readReview
In one paragraph

Review in EMBO reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Metabolomics of HIV in the Modern cART Era.Advances in experimental medicine and biology · 2026
    Review
  5. Review
  6. Review
  7. Article
  8. Multi-omics Data Integration.Advances in experimental medicine and biology · 2026
    Review
  9. Review
  10. Article
  11. Review
  12. Immunological biomarkers of aging.Journal of immunology (Baltimore, Md. : 1950) · 2025
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article
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 3 institutions in 3 countries.

Jianbo FuCentre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany.ORCID 0000-0003-3358-8106
Feng ZhuCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Cheng-Jian XuCentre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany.
Yang LiCentre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany.
Radboud University Nijmegen · NLMedizinische Hochschule Hannover · DEZhejiang University · CN

Funding

Deutsche Forschungsgemeinschaft (DFG) 497673685EC | European Research Council (ERC) 948207Helmholtz Initiative and Networking Fund 1800167International Postdoctoral Exchange Fellowship Program 2021 between Helmholtz Centre for Infection Research (HZI), OCPC, and Zhejiang University (Chinese home organization) ZD202126Radboud University Medical Centre Hypatia Grant 2018
6 · The paper itself

Abstract

Metabolic processes play a critical role in immune regulation. Metabolomics is the systematic analysis of small molecules (metabolites) in organisms or biological samples, providing an opportunity to comprehensively study interactions between metabolism and immunity in physiology and disease. Integrating metabolomics into systems immunology allows the exploration of the interactions of multilayered features in the biological system and the molecular regulatory mechanism of these features. Here, we provide an overview on recent technological developments of metabolomic applications in immunological research. To begin, two widely used metabolomics approaches are compared: targeted and untargeted metabolomics. Then, we provide a comprehensive overview of the analysis workflow and the computational tools available, including sample preparation, raw spectra data preprocessing, data processing, statistical analysis, and interpretation. Third, we describe how to integrate metabolomics with other omics approaches in immunological studies using available tools. Finally, we discuss new developments in metabolomics and its prospects for immunology research. This review provides guidance to researchers using metabolomics and multiomics in immunity research, thus facilitating the application of systems immunology to disease research.

Indexed as

MetabolomicsMultiomicsResearch Designinfectionmetabolomicsmultiomicsstatistical analysissystems immunology

Identifiers

PMID36916532
PMCPMC10074123
OpenAlexW4324128842

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.