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Enregistrement W4360982899 · doi:10.1113/jp284526

Rewiring of catecholamine‐induced calcium signalling is an early event in non‐alcoholic fatty liver disease

2023· article· en· W4360982899 sur OpenAlexaffabout
Shane C. Wright, Volker M. Lauschke

Notice bibliographique

RevueThe Journal of Physiology · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueLiver Disease Diagnosis and Treatment
Établissements canadiensUniversité de MontréalInstitute for Research in Immunology and Cancer
Organismes subventionnairesVetenskapsrådetSvenska Sällskapet för Medicinsk Forskning
Mots-clésEndocrinologyInternal medicineSERCAFatty liverEndoplasmic reticulumCalciumCalcium pumpInositol trisphosphate receptorCalcium signalingBiologyLipogenesisChemistryInositolReceptorCell biologyLipid metabolismMedicineBiochemistryATPase

Résumé

récupéré en direct d'OpenAlex

Non-alcoholic fatty liver disease (NAFLD) is a global health problem without approved pharmacological treatment (Riazi et al., 2022). Mechanistically, excessive accumulation of triglycerides in hepatocytes due to increased de novo lipogenesis and decreased β-oxidation constitutes an early defining feature in the pathogenesis of NAFLD. Emerging evidence of the last 20 years assigned a central role in the regulation of hepatic energy homeostasis to calcium signalling (Oliva-Vilarnau et al., 2018). However, information about molecular events preceding the onset of hepatic steatosis are limited. The study by Brumer et al. (2023) convincingly demonstrates changes in catecholamine-induced inositol 1,4,5-trisphosphate (IP3) production and calcium signalling in mouse liver after short-term exposure to high fat diet (HFD) before the apparition of histological changes. Lying at the root of these early changes are liver-resident alpha-1B adrenergic receptors (α1BARs) that play a role in glycaemic control, as well as carbohydrate and lipid homeostasis. α1BARs are G protein-coupled receptors (GPCRs) that activate Gαq/11 following the binding of catecholamines such as norepinephrine. Once active, Gαq/11 kicks off a signalling cascade involving phospholipase C (PLC) that is directly involved in the production of IP3 and diacylglycerol (DAG) from phosphatidylinositol 4,5-bisphosphate. Then, IP3 diffuses to the endoplasmic reticulum where it binds the IP3 receptor resulting in the mobilization of calcium, an important second messenger in human physiology. The reduction in calcium mobilization upon HFD did not result from an inhibition of the sarco/endoplasmic reticulum calcium ATPase (SERCA) or store-operated Ca2⁺ channel (SOC) activity. Nor was any difference observed in the expression or distribution of the key signalling components α1BAR, Gαq, PLCβ3, IP3R, SERCA. Instead, Brumer et al. (2023) showed that short-term exposure to HFD affected the amount of IP3 that is generated by PLC, which results in lower IP3R activity and limited release of calcium from intracellular stores. Taken together, these findings shed new light on the early events that lead to NAFLD and may facilitate the development of therapeutics that rescue this hormone-induced calcium signalling axis. However, further work is needed to address the molecular basis for the decrease in IP3 production. One possibility could be a reduced ability of α1BARs to efficiently activate Gαq/11. Although the expression and distribution of α1BARs and Gαq/11 remained unchanged after short-term HFD, differences in membrane fatty acid composition can allosterically affect the ability of GPCRs to effectively exchange the GDP in the Gα subunit with GTP (Dawaliby et al., 2016). This would result in fewer active GTPGαq/11 available to bind PLC. Similarly, membrane lipid composition can affect the localization of PLC and the availability of calcium can affect its catalytic activity. Yet another explanation could come from the generation of DAG through hepatic lipogenesis that activates novel protein kinase C (PKC) isoforms in the absence of calcium mobilization, resulting in PKC-dependent desensitization of GPCR-dependent calcium signalling. Moving forward, it will be important to show that the observed phenomena also occur in human hepatocytes in order to narrow the translational gap. Of relevance in this context could be the wealth of organotypic hepatocyte culture methods that have emerged in recent years, which allow the accurate emulation of hepatic steatosis and its progression to inflammation and fibrosis (Ramos et al., 2022). Although not specifically evaluated yet, their overall phenotypic and molecular resemblance to steatotic liver fuels hopes that also hormonally controlled Ca2⁺ oscillations are preserved in these systems. Combined, the finding that high-fat diet rapidly curbs GPCR-dependent PLC activation, resulting in perturbed Ca2⁺ transients and suppressed propagation of trans-lobular Ca2⁺ waves, opens new avenues for the pharmacological exploration of new mechanisms that target NAFLD onset. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. VML is co-founder, CEO and a shareholder of HepaPredict AB, as well as chairman of the board and shareholder of PersoMedix AB. SCW declares no competing interests. S.W. and V.L. were responsible for the conception or design of the work, drafting the work or revising it critically for important intellectual content, and final approval of the version to be published. Both authors agree to be accountable for all aspects of the work. S.C.W. is supported by a fellowship from the Swedish Society for Medical Research (P18-0098; PD20-0153). V.M.L. is supported by the Swedish Research Council (grant agreement numbers 2019-01837 and 2021-02801), by the EU/EFPIA/OICR/McGill/KTH/Diamond Innovative Medicines Initiative 2 Joint Undertaking (EUbOPEN grant number 875510), by the Swedish Strategic Research Programme in Diabetes (SFO Diabetes) and Stem Cells and Regenerative Medicine (SFO StratRegen), and by the Robert Bosch Foundation, Stuttgart, Germany.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,061
Tête enseignante GPT0,328
Écart entre enseignants0,268 · 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'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

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

En bref

Citations2
Publié2023
Routes d'admission2
Résumé présentoui

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