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GLP-2 predicts cardiovascular outcomes in patients with myocardial infarction and increases atherosclerosis in mice

2023· article· en· W4388595659 on OpenAlexaff
Florian Kahles, Mark Sausen, Luís F. Quintana, Marcia Rueckbeil, Paul Idel, R. Mertens, Steffen Just, M C Arrivas, Julia Moellmann, Moritz Biener, Evangelos Giannitsis, Hugo A. Katus, Daniel J. Drucker, Nikolaus Marx, Michael Lehrke

Bibliographic record

VenueEuropean Heart Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsLunenfeld-Tanenbaum Research InstituteUniversity of Toronto
FundersEuropean Research Area Network on Cardiovascular DiseasesEuropean Foundation for the Study of Diabetes
KeywordsMedicineMaceMyocardial infarctionInternal medicineDiabetes mellitusGlucagon-like peptide-1IncretinCardiologyPostprandialProportional hazards modelType 2 diabetesGastroenterologyEndocrinologyInsulinPercutaneous coronary intervention

Abstract

fetched live from OpenAlex

Abstract Background GLP-1 and GLP-2 (glucagon-like peptide-1/2) are incretin hormones that are co-secreted from intestinal L-cells in response to food intake and inflammatory stimuli. While GLP-1 is known to induce postprandial insulin secretion and to improve cardiovascular outcomes in patients with diabetes, GLP-2 enhances intestinal nutrient absorption. GLP-2 agonists are clinically used for the treatment of patients with short bowel syndrome. The relevance of GLP-2 beyond the gut is not well understood. The aim of this study was to investigate the role of GLP-2 for cardiovascular disease (CVD). Methods Total GLP-2 levels were assessed at time of admission in 918 patients with myocardial infarction presenting with acute chest pain, among them 597 patients with NSTEMI and 321 with STEMI. The primary composite outcome of the study was the first occurrence of all-cause death, nonfatal myocardial infarction, or nonfatal stroke (3-P-MACE) with a median follow-up of 311 days. To induce atherosclerosis, Glp2r−/− or WT mice were injected with PCSK9 virus and fed a diet high in cholesterol (HCD) for 12 weeks. Results Kaplan-Meier survival plots (separated by the median of GLP-2 with a cut-off value of 4.4 pM) and univariable cox regression analyses found GLP-2 values to be associated with adverse outcome (3-P-MACE and all-cause mortality; logarithmized GLP-2 values HR: 2.87; p<.0001). Further adjustment for age, sex, smoking, hypertension, hypercholesterinemia, previous CVD and diabetes mellitus did not affect this association (logarithmized GLP-2 values HR: 2.66; p=0.0055). Receiver operating characteristic curve (ROC) analyses illustrated that GLP-2 is a strong indicator for early events (area under the curve of the combined endpoint at 7 days: 0.74; 14 days: 0.76; 30 days: 0.76; 6 months: 0.72), which proved to be superior to Troponin T and hs-CRP. To asses the functional role of GLP-2 in CVD in an experimental approach we injected Glp2r−/− or WT mice PCSK9 virus (to induce functional Ldlr-deficiency and hypercholesterolemia) and fed these mice a HCD. After 12 weeks Glp2r−/− mice compared to WT littermates presented with a significant reduction in plaque volume and lesion size. While body weight and circulating leukocyte numbers (FACS analysis) were unaffected, Glp2r−/− mice had lower cholesterol levels. Conclusion Circulating GLP-2 levels are associated with cardiovascular events in patients with acute myocardial infarction while inactivation of the GLP-2 system reduces atherosclerosis in mice. Future studies are needed to investigate whether the GLP-2 receptor might provide a novel therapeutic target for cardiovascular disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.229
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2023
Admission routes1
Has abstractyes

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