Evidence map›Paper›PMID 35121805›Full record

ReviewCellular & molecular immunology2022

Systems-based approaches to study immunometabolism.

Vinee Purohit, Allon Wagner, Nir Yosef, Vijay K Kuchroo

Open access · hybridAbstract readReview
In one paragraph

Review in Cellular & molecular immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.6field-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

41 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Immunometabolic Effects of Ginger (Molecules (Basel, Switzerland) · 2025
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. NMR-Based Analysis of Cellular Central Energy Metabolism and Exchange Rates.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  18. Review
  19. Article
  20. Psychoneuroimmunology of Mood Disorders.Methods in molecular biology (Clifton, N.J.) · 2025
    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 2 institutions in 1 country.

Vinee PurohitEvergrande Center for Immunologic Diseases and Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0001-8093-5540
Allon WagnerDepartment of Electrical Engineering and Computer Science, University of California, Berkeley, CA, 94720, USA.
Nir YosefDepartment of Electrical Engineering and Computer Science, University of California, Berkeley, CA, 94720, USA.
Vijay K KuchrooEvergrande Center for Immunologic Diseases and Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. vkuchroo@evergrande.hms.harvard.edu.
Broad Institute · USUniversity of California, Berkeley · US

Funding

Tool and Technology Development CoreU19MH114821 · NIMH · COLD SPRING HARBOR LABORATORY · PI ZADOR, ANTHONY M · 2017 to 2021
$64.5M
Neuroimmune interactions regulate development of allergic inflammationR01AI139536 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI KUCHROO, VIJAY K. · 2018 to 2022
$2.9M
NIAID NIH HHS R01 AI139536NIMH NIH HHS U19 MH114821
6 · The paper itself

Abstract

Technical advances at the interface of biology and computation, such as single-cell RNA-sequencing (scRNA-seq), reveal new layers of complexity in cellular systems. An emerging area of investigation using the systems biology approach is the study of the metabolism of immune cells. The diverse spectra of immune cell phenotypes, sparsity of immune cell numbers in vivo, limitations in the number of metabolites identified, dynamic nature of cellular metabolism and metabolic fluxes, tissue specificity, and high dependence on the local milieu make investigations in immunometabolism challenging, especially at the single-cell level. In this review, we define the systemic nature of immunometabolism, summarize cell- and system-based approaches, and introduce mathematical modeling approaches for systems interrogation of metabolic changes in immune cells. We close the review by discussing the applications and shortcomings of metabolic modeling techniques. With systems-oriented studies of metabolism expected to become a mainstay of immunological research, an understanding of current approaches toward systems immunometabolism will help investigators make the best use of current resources and push the boundaries of the discipline.

Indexed as

Biochemical PhenomenaImmunotherapyGSMMImmunometabolismMetabolic modelingMetabolic techniquesSystems biology

Identifiers

PMID35121805
PMCPMC8891302
OpenAlexW4213215801

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.