Evidence map›Paper›PMID 38828140›Full record

ArticleActa pharmaceutica Sinica. B2024

Glucagon-like peptide-1 receptor agonists rescued diabetic vascular endothelial damage through suppression of aberrant STING signaling.

Xuemin He, Siying Wen, Xixiang Tang, Zheyao Wen, Rui Zhang, Shasha Li, Rong Gao, Jin Wang, Yanhua Zhu, Dong Fang and 10 more

Abstract read
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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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

20 authors.

Xuemin HeDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Siying WenDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Xixiang TangDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Zheyao WenDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Rui ZhangDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Shasha LiDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Rong GaoDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Jin WangDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Yanhua ZhuDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Dong FangDepartment of Fundus, Shenzhen Eye Hospital of Jinan University, Shenzhen 518048, China.
Ting LiDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Ruiping PengDepartment of Ophthalmology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Zhaotian ZhangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
Shiyi WenDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Li ZhouDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Heying AiDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Yan LuDepartment of Clinical Immunology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Shaochong ZhangDepartment of Fundus, Shenzhen Eye Hospital of Jinan University, Shenzhen 518048, China.
Guojun ShiDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Yanming ChenDepartment of Endocrinology and Metabolic Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) protect against diabetic cardiovascular diseases and nephropathy. However, their activity in diabetic retinopathy (DR) remains unclear. Our retrospective cohort study involving 1626 T2DM patients revealed superior efficacy of GLP-1 RAs in controlling DR compared to other glucose-lowering medications, suggesting their advantage in DR treatment. By single-cell RNA-sequencing analysis and immunostaining, we observed a high expression of GLP-1R in retinal endothelial cells, which was down-regulated under diabetic conditions. Treatment of GLP-1 RAs significantly restored the receptor expression, resulting in an improvement in retinal degeneration, vascular tortuosity, avascular vessels, and vascular integrity in diabetic mice. GO and GSEA analyses further implicated enhanced mitochondrial gene translation and mitochondrial functions by GLP-1 RAs. Additionally, the treatment attenuated STING signaling activation in retinal endothelial cells, which is typically activated by leaked mitochondrial DNA. Expression of

Indexed as

CREBDiabetic retinopathyGLP-1 RAsInflammationMitochondrial leakageRetinal endothelial cellsRetinal vascular dysfunctionSTING signaling

Identifiers

PMID38828140
PMCPMC11143538

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.