Evidence map›Paper›PMID 42799503›Full record

ArticlePeerJ2026

Integrative identification and preliminary validation of senescence-associated secretory phenotype-related candidate biomarkers in type 2 diabetes.

Binglian Liu, Jiameng Jia, Nan Wang, Chong Yin, Li Xu, Hongmei Lang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Binglian Liu *Department of General Practice, Sichuan University affiliated Chengdu Second People's Hospital, Chengdu Second People's Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Jiameng Jia *School of Clinical Medicine, Qinghai University, Xining, China.
Nan WangDepartment of Ultrasound Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Chong YinDepartment of Clinical Laboratory, Lab of Nucleic Acid Therapy, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Li XuDepartment of Clinical Nutrition, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Hongmei LangDepartment of General Practice, Sichuan University affiliated Chengdu Second People's Hospital, Chengdu Second People's Hospital, West China School of Medicine, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Senescence-associated secretory phenotype (SASP)-related inflammatory programs have been implicated in type 2 diabetes mellitus (T2DM), yet blood-based candidates have not been systematically screened and validated across independent cohorts. We adopted standardized senescence signature scoring and multi-cohort independent validation to screen SASP-related candidate genes through literature mining, differential expression analysis, and machine learning, followed by functional enrichment analysis, immune cell composition analysis, and immune cell proportion adjustment. We identified

Indexed as

Chemokine CCL8Diabetes Mellitus, Type 2Matrix Metalloproteinase 9Senescence-Associated Secretory PhenotypeBiomarkersCellular SenescenceFemaleHumansLeukocytes, MononuclearMalePhenotypeBiomarkersChemokine CCL8Matrix Metalloproteinase 9MMP9 protein, humanBiomarkersMachine learningSenescence-associated secretory phenotypeType 2 diabetes

Identifiers

PMID42799503
PMCPMC13614271

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.