Evidence mapPaperPMID 41724871Full record

ReviewJournal of cardiovascular translational research2026

Glucagon-like Peptide-1 Receptor Dependent Signaling in Cardiovascular Health and Disease: A Mini-review.

Meng-Piao Lin, Bing-Jie Xue, Xiao-Jie Bai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 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

3 authors.

Meng-Piao LinDepartment of Physiology, and Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Bing-Jie XueDepartment of Physiology, and Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Xiao-Jie BaiDepartment of Physiology, and Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China. baixiaojie_1973@163.com.ORCID http://orcid.org/0000-0003-2892-6625

Funding

Basic Research Program of Shanxi Province 202203021221181
6 · The paper itself

Abstract

Glucagon-like peptide-1 (GLP-1) is a hormone mainly produced by intestinal L cells after meal, and its main functions include enhancing glucose-dependent insulin secretion, promoting insulin biosynthesis, inhibiting glucagon secretion, inhibiting gastrointestinal activity and regulating appetite. In recent years, GLP-1, besides its well-known hypoglycemic effects, has been shown to have beneficial effects in the cardiovascular field, but the precise molecular mechanism is not yet fully understood. GLP-1 receptor (GLP-1R) is a class B G-protein-coupled receptor (GPCR), which is widely distributed in the cardiovascular system. This review aims to summarize the GLP-1R dependent signaling pathways in GLP-1 cardiovascular protection and related researches, such as the GLP-1R structure, distribution and expression. Moreover, we also discussed the development of GLP-1R agonist (GLP-1RA) therapies in cardiovascular field.

Indexed as

Cardiovascular DiseasesCardiovascular SystemGlucagon-Like Peptide 1Glucagon-Like Peptide-1 ReceptorAnimalsGlucagon-Like Peptide-1 Receptor AgonistsHumansIncretinsSignal TransductionGLP1R protein, humanGlucagon-Like Peptide 1Glucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsIncretinsAgonistCardiovascular diseaseGlucagon-like peptide-1Glucagon-like peptide-1 receptorSignaling pathway

Identifiers

What Socratic 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 Socratic graph.