Evidence map›Paper›PMID 41644760›Full record

ReviewBiogerontology2026

The relationship between CXC chemokines and cellular senescence: from mechanisms to therapy.

Yunan Kang, Xiaoyun Zhang, Xiaodong Cui

Abstract readReview
PubMed Publisher
In one paragraph

Review in Biogerontology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Yunan Kang *Medical Physiology Laboratory, School of Basic Medical Sciences, Shandong Second Medical University, Weifang, 261000, China.
Xiaoyun Zhang *Medical Physiology Laboratory, School of Basic Medical Sciences, Shandong Second Medical University, Weifang, 261000, China.
Xiaodong CuiMedical Physiology Laboratory, School of Basic Medical Sciences, Shandong Second Medical University, Weifang, 261000, China. xiaodongcui@sdsmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemokines are small molecule secreted proteins that regulate biological processes such as chemotaxis, hematopoiesis, and angiogenesis, typically functioning through binding to G-protein-coupled receptors (GPCRs) on the cell surface. The chemokine family can be classified into four major types based on the differences in their conserved cysteine motifs at the N-terminal: CC, CXC, CX3C, and XC. Among them, the CXC family occupies a central position in the chemokine group. Due to their vital role in biological processes, chemokines have become a key focus of research in various complex diseases. Cell senescence is linked to various factors, including DNA damage and telomere shortening, marked by cell cycle arrest. Senescent cells impact both local and systemic microenvironments via the senescence-associated secretory phenotype (SASP), and CXC chemokines, as critical components of SASP, have been demonstrated to play important roles in various age-related diseases and cancers. However, the role of chemokines, especially CXC chemokines, in cellular senescence and the diseases they mediate has not been fully elucidated. This review summarizes the mechanism of action of CXC chemokines, the latest progress in their role in cellular senescence and related diseases, and discusses the potential of CXC chemokines as biomarkers and therapeutic targets.

Indexed as

AgingCellular SenescenceChemokines, CXCAnimalsHumansSenescence-Associated Secretory PhenotypeChemokines, CXCCellular senescenceCXC chemokinesSenescenceSenescence-associated secretory phenotypeTherapy

Identifiers

What OpenQuestion holds

Textmetadata
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.