Evidence map›Paper›PMID 40153575›Full record

ReviewAging and disease2025

Immunosenescence in Sepsis: Molecular Mechanisms and Potential Therapeutic Targets.

Heyang Sun, Qianya Hong, Chenning Li, Shuainan Zhu, Ying Yu, Hao Zhang, Kefang Guo

Abstract readReview
In one paragraph

Review in Aging and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Review
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

7 authors.

Heyang SunDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Qianya HongDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Chenning LiDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Shuainan ZhuDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Ying YuDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Hao ZhangDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Kefang GuoDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a systemic inflammatory response triggered by infection that can result in immune regulation disruption and organ dysfunction. As an individual age, a phenomenon known as immunosenescence occurs. Immunosenescence is characterized by the deterioration of immune cells and organs. This decline leads to immune dysfunction, which is closely associated with an increased mortality rate among elderly sepsis patients. Recent studies have revealed that various responses during sepsis can induce premature aging of immune organs and cells in younger individuals, a process referred to as premature immunosenescence, which further accelerates the progression of sepsis and contributes to adverse outcomes. There is a significant correlation between immunosenescence and sepsis; therefore, understanding the specific manifestations and underlying mechanisms of immunosenescence induced by sepsis is imperative. Additionally, treatment strategies aimed at reversing or alleviating both immune aging and immune suppression in septic patients are worthwhile exploring and will also improve understanding of the concept of immunosenescence.

Indexed as

AgingImmunosenescenceSepsisAnimalsHumans

Identifiers

PMID40153575
PMCPMC12834405

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.