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Enregistrement W4408296982 · doi:10.3389/jpps.2025.14099

Editorial: Pharmacotherapy of energy metabolism in obesity

2025· editorial· en· W4408296982 sur OpenAlexafffundvenue
John R. Ussher

Notice bibliographique

RevueJournal of Pharmacy & Pharmaceutical Sciences · 2025
Typeeditorial
Langueen
DomaineMedicine
ThématiqueDiet and metabolism studies
Établissements canadiensUniversity of Alberta
Organismes subventionnairesCanada Research Chairs
Mots-clésPharmacotherapyEnergy metabolismObesityMedicinePharmacologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

It is well established that body weight gain and increased adiposity during the progression of obesity increase one's risk for metabolic dysfunction associated steatotic liver disease (MASLD), type 2 diabetes (T2D), and cardiovascular disease (CVD). Furthermore, a plethora of evidence supports that obesity leads to several perturbations in energy metabolism, which are widely thought to contribute to the pathology of these obesity-associated cardiometabolic pathologies (1). Accordingly, researchers have invested significant effort towards understanding the molecular alterations that are responsible for these perturbations in energy metabolism, as they may represent novel drug discovery targets to treat MASLD, T2D, and CVD due to underlying obesity.With the increasing recognition that the adipose tissue itself is a complex endocrine organ that secretes several cytokines and adipokines that can influence metabolic homeostasis, understanding how intermittent fasting mediated weight loss impacts whole-body energy metabolism is an exciting area for potential drug discovery (2). Although not as prevalent as in rodents, there is also excitement on whether brown fat metabolism can be influenced in obese humans to promote weight loss (3). In addition, numerous metabolomics studies have demonstrated that increases in circulating branched-chain amino acids (leucine, isoleucine, valine) are positively associated with T2D and CVD (4). Whether targeting BCAA metabolism can reverse obesity-related cardiometabolic disease has engendered significant interest in the field, though which organ (i.e. skeletal muscle, heart, adipose tissue, etc.) BCAA metabolism is most relevant to manipulate is still an area of ongoing debate (5).More recently, perturbations in ketone metabolism have also been shown to contribute to obesityassociated cardiometabolic diseases (6,7). One of the most intriguing questions within this realm pertains to whether pharmacological augmentation of hepatic ketogenesis can alleviate MASLD (8), as increased ketogenesis would result in an elevation of fatty acid oxidation and subsequent decrease in hepatic lipid accumulation. This is a highly relevant area for current drug discovery, since MASLD is a major cause for abnormal liver function tests and is a pathology that currently has no approved therapies. Of interest, it is also gaining recognition that energy metabolism within oxidative organs is not the only area for potential drug discovery, as the field of immunometabolism is one of the most rapidly expanding areas in obesity. This is due in part to increased adiposity often leading to a chronic low-grade inflammation that can contribute to T2D and CVD (9). Whether perturbations in macrophage energy metabolism directly contribute to the chronic low-grade inflammation associated with obesity is unknown, and will be a key area for future interrogation that could lead to new exciting targets for drug development (10).Perturbations in energy metabolism are commonly observed in the myocardium during obesity/T2D, with several studies exploring whether targeting such perturbations can alleviate diabetic cardiomyopathy and/or heart failure (11). Targets of interest include manipulating lipoprotein lipase activity to alleviate dyslipidemia and fatty acid supply to the myocardium (12), or manipulating the enzymatic machinery within cardiomyocytes to limit the accumulation of toxic lipids such as ceramides and diacylglycerols, thereby attenuating cardiac lipotoxicity (13). One of the most robust metabolic perturbations in the myocardium during obesity/T2D is an impairment in glucose oxidation, with several studies illustrating that inhibition of the transcription factor, forkhead box O1, can restore glucose oxidation in the diabetic heart (14). There is also significant interest in understanding how acetylation of the enzymatic machinery controlling mitochondrial boxidation contributes to the elevations in myocardial fatty acid oxidation rates observed in obesity/T2D (15). This special issue of the Journal of Pharmacy and Pharmaceutical Sciences features several topical review articles addressing these exciting areas of energy metabolism and how they have contributed to the potential development of new drugs for treating obesity-related cardiometabolic diseases. While targeting energy metabolism may prove fruitful towards alleviating MASLD, T2D, and/or CVD associated with obesity, there is also much excitement with the use of glucagon-like peptide-1 receptor (GLP-1R) agonists to directly treat obesity via decreasing appetite. Indeed, the significant weight loss resulting from GLP-1R agonist therapy has been shown to have salutary actions against cardiometabolic disease. As such, this special issue also addresses the expanding role of GLP-1R agonists to treat obesity, while contrasting the efficacy of these agents against that of bariatric surgery (16). Furthermore, the prevalence of obesity is increasing in our adolescent population, and thus the potential pharmacotherapy of adolescent obesity will also be discussed (17). Taken together, an advanced understanding of the metabolic perturbations associated with obesity has the potential to provide several new drug targets for treating cardiometabolic diseases such as MASLD, T2D and CVD, while improving the quality of life for millions of individuals.

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)0,003
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: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,070

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,012
Méta-épidémiologie (sens strict)0,0040,001
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,002
Communication savante0,0050,004
Science ouverte0,0040,001
Intégrité de la recherche0,0120,017
Charge utile insuffisante (le modèle a refusé de juger)0,0210,015

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 Opus0,036
Tête enseignante GPT0,416
Écart entre enseignants0,380 · 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
GenreÉditorial

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
Publié2025
Routes d'admission3
Résumé présentoui

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Même revueJournal of Pharmacy & Pharmaceutical Sciences→Même sujetDiet and metabolism studies→Travaux en français237 207→