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Enregistrement W4403881115 · doi:10.3389/fendo.2024.1510212

Editorial: Novel regulatory mechanisms behind thermogenesis of brown and beige adipocytes, volume II

2024· editorial· en· W4403881115 sur OpenAlexaff
Rini Arianti, Abhirup Shaw, Endre Kristóf, Rubén Cereijo

Notice bibliographique

RevueFrontiers in Endocrinology · 2024
Typeeditorial
Langueen
DomaineMedicine
ThématiqueAdipose Tissue and Metabolism
Établissements canadiensMcGill University Health Centre
Organismes subventionnairesNational Research, Development and Innovation OfficeNemzeti Kutatási Fejlesztési és Innovációs HivatalGeneralitat de Catalunya
Mots-clésThermogenesisInternal medicineBiologyEndocrinologyMedicineAdipose tissue

Résumé

récupéré en direct d'OpenAlex

Brown and beige adipocytes are specialized cells that play a crucial role in systemic metabolism. Unlike white adipocytes, which primarily store energy, these cells generate heat by burning calories through non-shivering thermogenesis (1). This is facilitated by uncoupling protein 1 (UCP1), which dissipates the proton gradient within their mitochondria, in addition to UCP1-independent mechanisms (1,2). While brown adipocytes are found in dedicated depots of brown adipose tissue (BAT), beige adipocytes lie interspersed within white adipose tissue (WAT), and can be recruited in response to cold or hormonal signals in a process known as browning or beigeing (1). Both cell types can also release batokines, signaling molecules coordinating systemic metabolic responses (3). Given these unique properties, beige and brown adipocytes lie at the forefront of out-of-the-box strategies to counter obesity and associated comorbidities like diabetes. This Research Topic aimed to understand their regulatory mechanisms, crucial to eventually harness their beneficial systemic metabolic actions in human healthcare.Understanding the involvement of relevant regulators of the thermogenic transcriptional program is of utmost relevance to benefit from the metabolism-orchestrating functions brown and beige adipocytes. In this regard, Nie et al. comprehensively reviewed this question's state of the art from different points of view. These include the regulation of browning through norepinephrine-independent mechanisms mediated by secreted factors like novel autocrine batokine ADISSP and membrane receptors (GPR180), control by transcription factors (OVOL2) and the roles of enzymes and other cell dynamics regulators, such as mitochondrial cristae biogenesis regulator OPA1. They also highlight the activating influence of environmental factors on brown/beige adipocyte biology, notably Covid-19 and Zn.Cold-induced thermogenesis and beigeing is primarily regulated by the activation of sympathetic nervous system which densely innervates BAT. The released norepinephrine binds to β3-adrenergic receptors, which induce a signaling cascade mediated via adenylyl cyclase activation by Gs proteins (1). Benzi et al. describe another critical regulator of thermogenic activation. Transient receptor potential cation channel, subfamily M, member 2 (TRPM2)-deficient mice are cold intolerant because of blunted BAT activation and WAT beiging. TRPM2 is a Ca 2+ channel gated by adenosine diphosphate ribose (ADPR), which is produced at a greater extent in response to cold.Beigeing relies on the activation of specific gene expression programs that are coordinately regulated by a set of unique transcriptional and epigenetic regulators which drive adipose-selective chromatin architectures (4). Mooli et al. identify GA-binding protein alpha (GABPα) as a critical transcriptional regulator essential for beige adipogenesis in inguinal WAT in the postnatal period of mice. The GABPα binding motif is enriched in epigenetically active chromatin regions, such as Ucp1 enhancer, marked by acetylated histone 3 lysine 27 (H3K27ac) in inguinal WAT.Accumulating recent evidence also points toward splicing regulation and alternative splicing as emerging key mechanisms in brown/beige adipogenesis and activation (5,6). Coherently, expression of splicing factor SF3B1 has been reported as instrumental in murine brown adipocyte thermogenic activation (7). In this Research Topic, Hazell Pickering et al. explore the regulation of alternative splicing in human beige adipocytes by conducting high-throughput RNA-sequencing. The authors identify a differential alternative splicing profile between white and beige adipocytes derived from pluripotent adipose stromal cells, including beigeing markers (CITED1), metabolically-relevant enzymes and, notably, master adipogenic transcription factor peroxisome-activator proliferator gamma (PPARG). Altogether, these findings indicate that alternative splicing adds a novel layer of regulation to human beige adipogenesis.Ex vivo differentiated primary adipocytes have been widely used to understand the adipose tissue biology and metabolism. However, current 2D models do not demonstrate the complex microenvironment and vasculature of adipose tissues. As an alternative, 3D cultures represent the cellular crosstalk and physiology in adipose tissue and provide a less-invasive method with high reproducibility (8). Davidsen et al. present a novel in vitro model utilizing vascularized adipose spheroids derived from mouse inguinal WAT to study thermogenic adipocyte metabolism and microenvironment in-depth. This spheroid model mimics the natural organization and vascularization of adipocytes, marked by the appearance of adipocyte capillary structures and vessel formation. Additionally, vascularized adipose spheroids showed higher expression of genes involved in metabolic pathways suggesting that 3D spheroid model may become a more detailed and accurate in vitro platform to study the potential of thermogenic adipocytes as a therapeutic strategy to combat obesity and related diseases.Skeletal muscles and intestinal microorganisms play an important role in generating metabolites which can affect the metabolic activity in the body (9,10). Tang et al. wrote a comprehensive review exploring the intricate relationship between skeletal muscles and intestinal-derived metabolites and adipocyte thermogenesis. Skeletal muscles release lactate, kynurenic acid, inosine, and βaminoisobutyric acid, whereas the gut secretes bile acids, butyrate, succinate, cinnabarinic acid, urolithin A, and asparagine. These metabolites can mediate thermogenesis by interacting with membrane receptors or enzymes thus promoting cellular signaling. In addition, these metabolites also play role as mediators of inter-organ crosstalk and promote metabolic adaptability.Cardiovascular diseases are a leading cause of global morbidity and mortality. Perivascular adipose tissue (PVAT) is a specific type of adipose tissue that encircles blood vessels with particular secretory functions (11,12). In their review, Tong et al. provided an interesting overview on the importance of PVAT in cardiovascular health. They summarize the origin, organization, and tissue structure of PVAT, as a combination of WAT and BAT, the proportion of which varies regarding the proximity to the organs involved. PVAT mediates vasoprotective effects by releasing adipocyte-derived relaxing factors (ADRFs), which include adiponectin, leptin, nitric oxide, hydrogen sulfide, hydrogen peroxide, and fibroblast growth factor-21. Hence, PVAT has immense potential as a therapeutic target for restoring, delaying, and counteracting vascular dysfunction.This Research Topic, alongside Part I (13), has provided remarkable original research and reviews, adding novel insights to the intricate role of BAT and beiging in metabolic homeostasis. Fully understanding the regulatory mechanisms governing brown/beige adipogenesis and activation is critical to develop new therapeutic approaches against obesity and concomitant metabolic alterations and improve metabolic human health.

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)0,008
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 enseignants0,016
Score d'incertitude au seuil0,053

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,008
Méta-épidémiologie (sens strict)0,0030,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0030,001
Études des sciences et des technologies0,0020,002
Communication savante0,0040,004
Science ouverte0,0030,001
Intégrité de la recherche0,0080,010
Charge utile insuffisante (le modèle a refusé de juger)0,0160,009

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 Opus0,007
Tête enseignante GPT0,245
Écart entre enseignants0,237 · 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

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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