Evidence map›Paper›PMID 40155378›Full record

ReviewCell death discovery2025

Metabolic reprogram and T cell differentiation in inflammation: current evidence and future perspectives.

Yuxin Shi, Hao Zhang, Changhong Miao

Abstract readReview
In one paragraph

Review in Cell death discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Observational
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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

3 authors.

Yuxin ShiDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Hao ZhangDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China. zhang.hao@zs-hospital.sh.cn.ORCID http://orcid.org/0000-0001-5973-7080
Changhong MiaoDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China. miaochanghong_zs@163.com.ORCID http://orcid.org/0000-0003-3516-8308

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82072213National Natural Science Foundation of China (National Science Foundation of China) 82102253
6 · The paper itself

Abstract

T cell metabolism and differentiation significantly shape the initiation, progression, and resolution of inflammatory responses. Upon activation, T cells undergo extensive metabolic shifts to meet distinct functional demands across various inflammatory stages. These metabolic alterations are not only critical for defining different T cell subsets, but also for sustaining their activity in inflammatory environments. Key signaling pathways-including mTOR, HIF-1α, and AMPK regulate these metabolic adaptions, linking cellular energy states with T cell fate decisions. Insights into the metabolic regulation of T cells offer potential therapeutic strategies to manipulate T cell function, with implications for treating autoimmune diseases, chronic inflammation, and cancer by targeting specific metabolic pathways.

Identifiers

PMID40155378
PMCPMC11953409

What OpenQuestion holds

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Registered trials

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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.