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Enregistrement W4388007907 · doi:10.3389/fendo.2023.1295655

Editorial: Adrenal neuroendocrine system and cardiometabolic health: pathophysiology and clinical implications

2023· editorial· en· W4388007907 sur OpenAlexaff
Moe Thuzar, Fady Hannah‐Shmouni, Michael Stowasser

Notice bibliographique

RevueFrontiers in Endocrinology · 2023
Typeeditorial
Langueen
DomaineMedicine
ThématiqueHormonal Regulation and Hypertension
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésPathophysiologyMedicineEndocrinologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

pg. 2 Metabolic syndrome (MetS) and cardiovascular diseases (CVDs) represent the largest disease burden at a global level 1 . The situation warrants a broader and more thorough understanding of the pathophysiological factors regulating cardiometabolic health to identify potential novel targets and/or guide effective screening and management of at-risk individuals. The adrenal neuroendocrine system plays a fundamental role in the regulation of energy and substrate metabolism, fluid and electrolyte balance, cardiovascular tissue remodelling and immune function, thereby underscoring cardiometabolic health. The articles in this Research Topic offer important insights into the implications of the adrenal neuroendocrine system, particularly the glucocorticoid (GC) and the mineralocorticoid (MC) systems, in the pathophysiology of cardiometabolic diseases.GCs are adrenal steroids widely used pharmacologically for various inflammatory and autoimmune conditions due to their potent anti-inflammatory effects. Obesity, hypertension and impaired glucose tolerance are common metabolic complications of GCs. The paper by Deng et al in the current Topic Collection [Deng et al] reported the results of a systematic review and meta-analysis of 43 studies evaluating the cardiovascular risk of GC treatment in more than 15 million subjects. They found that the major adverse cardiovascular events (MACE) risk increased by 10% for each additional gram of GCs cumulative dose or by 63% for an additional ten microgram daily dose. These findings have significant clinical implications as GCs are one of the most frequently prescribed therapeutic agents with millions of people taking GCs worldwide 2 , and call for more rationalised prescriptions of GCs and for more research into identifying potential targeted agents to counteract the adverse cardiometabolic effects in people requiring GCs.The MC system is emerging as a potential key player in the manifestations of cardiometabolic diseases, not just hypertension. Aldosterone is classically recognised as a main regulator of blood pressure (BP) via its effect on renal tubules promoting sodium and fluid retention. There is a soaring level of evidence linking overactivity of the MC system to features of cardiometabolic syndrome, including hyperglycaemia, adiposity, metabolic syndrome associated fatty liver disease (MAFLD) and cardiac dysfunction 3,4 suppresses brown adipose tissue (BAT) function, promotes adiposity and adipose tissue inflammation and cardiac remodelling and fibrosis [3][4][5] . On the other hand, MR antagonism or MR deletion increase the activity of BAT, induces of adipose tissue browning, ameliorates adipose tissue inflammation, and protects against cardiometabolic dysfunction 3,6,7 . The preclinical and clinical evidence together strongly suggests a causal relationship between the MC system and cardiometabolic comorbidities, and raises a number of questions; (i) is it time that MC overactivity be viewed as a risk factor for MetS and CVDs and be managed more holistically to reduce the cardiometabolic comorbidities, and (ii) should PA be and screened for as a potential underlying issue in patients with significant cardiometabolic diseases, ie., adopting a MetS-based screening and management approach for PA rather than the current BP-focused (BP-centric) approach?Sexual dimorphism and potential interplays between the GC and MC systems in the pathophysiology of cardiometabolic manifestations are other areas receiving increasing interest. The paper by Ouyang et al in this Topic collection [Ouyang et al] investigated sex differences in hypercortisolism and glucose metabolism disturbances in autonomous hypercortisolism (ACS), and observed that the association between ACS and markers of glucose metabolism was more pronounced in women. The authors postulated that the findings might be due to binding of progesterone and estrogen to the GC receptor, the ligand-binding domain of which demonstrates 55% sequence identity with the progesterone receptor and 30% with the estrogen receptor. Sex differences in cardiometabolic risk has been well described, albeit with females in general having lower risk, attributable to the protective effect of oestrogen. The finding by Ouyang et al of an apparent loss of the cardiometabolic protective effect of estrogen in the setting of GC excess is an interesting phenomenon which has also been reported in women with obesity; blood pressure is less likely to be adequately controlled (despite more likely to be treated) in obese women than men, thought to be mediated by the renin-angiotensin-aldosterone system (RAAS) 8 . The paper by Chaves et al in this Collection [Chaves et al] investigated the effect of the RAAS, particularly the angiotension-2 type 2 receptor (AT2 receptor) on the exacerbation of adrenal GC steroidogenesis in diabetic mice, and found that blockade of AT2 receptor by Olmesartan reduced GC production. The interplays between the GC, MC and other systems warrant further delineation to facilitate personalised targeted treatment approach for various at-risk groups.In summary, there is little doubt that the adrenal neuroendocrine system plays a pivotal role in the regulation of cardiometabolic health, and the papers included in this Topic represent important incremental steps towards identification of novel targets and effective management of MetS and CVDs in at risk individuals.pg. 4

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)0,004
score de la tête « metaresearch » (Gemma)0,016
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 enseignants0,018
Score d'incertitude au seuil0,062

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,016
Méta-épidémiologie (sens strict)0,0040,001
Méta-épidémiologie (sens large)0,0050,003
Bibliométrie0,0030,002
Études des sciences et des technologies0,0020,002
Communication savante0,0050,004
Science ouverte0,0040,001
Intégrité de la recherche0,0110,012
Charge utile insuffisante (le modèle a refusé de juger)0,0180,011

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 Opus0,021
Tête enseignante GPT0,329
Écart entre enseignants0,308 · 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
Publié2023
Routes d'admission1
Résumé présentoui

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