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Enregistrement W2793469097 · doi:10.1210/en.2018-00186

The Cardiac Glucagonlike Peptide-1 Receptor: Whither Art Thou?

2018· letter· en· W2793469097 sur OpenAlexafffund
Patricia L. Brubaker

Notice bibliographique

RevueEndocrinology · 2018
Typeletter
Langueen
DomaineMedicine
ThématiqueDiabetes Treatment and Management
Établissements canadiensUniversity of Toronto
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésThouInternal medicineEndocrinologyMedicineReceptorTheologyPhilosophy

Résumé

récupéré en direct d'OpenAlex

Glucagonlike peptide-17-36NH2 (GLP-1) is an enteroendocrine hormone that plays a key role in the maintenance of glucose homeostasis through stimulation of glucose-dependent insulin secretion, the so-called incretin effect, and through inhibition of glucagon release, gastric emptying, and food intake. As a consequence, GLP-1–derivative drugs were successfully implemented into the clinic >10 years ago, reducing glycemia, HbA1c levels, and, in some cases, body weight in patients with type 2 diabetes. Given the increased incidence of cardiovascular disease in this population, several large clinical trials have recently reported that at least some GLP-1–based therapeutics also provide cardioprotection, reducing both fatal and nonfatal cardiovascular events in subjects with type 2 diabetes (1). GLP-1 receptor (GLP-1R) agonists have also been reported to increase heart rate in proportion to the pharmacokinetic profile of the individual agonist (2). When taken with both clinical and preclinical data showing effects of GLP-1 to improve left ventricular function after an ischemic insult (3, 4), these findings suggest that GLP-1 may exert direct effects on cells within the heart and cardiovascular system. However, how these effects are exerted has remained enigmatic, largely because of low-level GLP-1R expression as well as technical issues in the field. The biological actions of GLP-1 are mediated through a single known GLP-1R, which is a 7-transmembrane, G protein–coupled member of the glucagon receptor superfamily. Original reports described expression of GLP-1R in a variety of peripheral tissues, including β cells, the gastrointestinal tract, kidneys, lungs, cells of the immune system, heart and blood vessels, and the central nervous system. Although the localization of the receptor in many of these tissues is consistent with known effects of GLP-1, controversy in the field arose with the demonstration that several commonly used, commercially available GLP-1R antisera are nonspecific, detecting expression in tissues from GLP-1R knockout models as well as in cells not known to express GLP-1R messenger RNA (mRNA) (5); hence, numerous studies using these nonvalidated reagents to report GLP-1R expression in diverse tissues were rendered suspect. Furthermore, given the high degree of sequence similarity within the glucagon family of receptors, short-sequence (as compared with full-length) polymerase chain reaction (PCR)–based analyses of transcript expression are prone to detection of related G protein–coupled receptors or transcripts that do not encode the full-length GLP-1R. Some of these problems have been circumvented by the validation of a highly specific GLP-1R antiserum, whereby GLP-1R expression has been detected in myocytes of the sinoatrial node in a single primate heart (6). Conversely, cells of the murine atrial myocardium, but not of the ventricles, were labeled in GLP-1R reporter mice (7). In this issue of Endocrinology, Baggio et al. (8) have used multiple approaches, including quantitative PCR, full-length reverse transcription PCR, immunohistochemistry with a validated antiserum, and in situ hybridization, to provide a detailed analysis of GLP-1R expression and localization in multiple human hearts. Baggio et al. (8) now report detection of full-length GLP1R transcripts (1.46 kb of open-reading frame) in all 4 chambers of hearts from 15 different individuals. Indicating the specificity of these findings, expression of structurally related G protein–coupled receptors, including those for GLP-2 and glucose-dependent insulinotropic polypeptide was also detected, although that for the GLP-2R was lower and more variable; conversely, despite rodent data to the contrary, glucagon receptor expression could not be demonstrated in any of the samples from the left ventricle. Although these findings were consistent with biological effects of GLP-1 on the human heart, localization of the receptor to specific cell types proved more problematic. Hence, no transcripts were detected in coronary artery endothelial and vascular smooth muscle cells or in cardiac fibroblasts. Furthermore, although two antisera were validated by Western blotting and one was able to detect the human GLP-1R in tissues known to express the receptor, including human islets, the sensitivity was insufficient to detect protein by Western blotting in cardiac samples from 35 subjects. Similarly, in situ hybridization for GLP1R transcripts from the same hearts demonstrated expression in the sinoatrial node but, again, did not detect GLP1R mRNA in histological sections from the ventricles. When taken together, this well-controlled study by Baggio et al. (8) clearly demonstrates the expression of GLP1R mRNA in all chambers of the human heart. The finding of transcripts in the sinoatrial node confirms a previous observation (6) and is consistent with the known ability of GLP-1 to increase heart rate (2). Notwithstanding detection of ventricular GLP1R RNA, the identity of the GLP-1R+ ventricular cell(s) mediating the effects of GLP-1 remain to be discovered. Curiously, preclinical studies have suggested the possible existence of a second GLP-1R. Thus, GLP-19-36NH2, a product of dipeptidylpeptidase IV–mediated GLP-1 degradation that does not activate the known GLP-1R, has been reported to improve ventricular function in both normal and GLP-1R null mice (4). Collectively, therefore, these findings leave open the intriguing possibility that some of the actions of native GLP-1 on human ventricular function are mediated through extremely rare cells that express very low levels of GLP-1R protein and/or may be mediated through another, currently unknown, cardiac GLP-1R. glucagonlike peptide-17-36NH2 glucagonlike peptide-17-36NH2receptor messenger RNA polymerase chain reaction Financial Support: P.L.B. is supported by a Canada Research Chair in Vascular and Metabolic Biology. Studies on GLP-1 in the Brubaker laboratory are supported by an operating grant from the Canadian Institutes of Health Research (PJT-15308). Disclosure Summary: The author has nothing to disclose.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,012
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,030
Score d'incertitude au seuil0,026

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,012
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0020,003
Communication savante0,0030,005
Science ouverte0,0010,001
Intégrité de la recherche0,0300,031
Charge utile insuffisante (le modèle a refusé de juger)0,0080,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,256
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission2
Résumé présentnon

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