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PEROXISOOMDYSFUNCTIE EN AUTOFAGIE: DE KLOOF OVERBRUGGEN

2025· article· en· W7111891364 sur OpenAlexfundno aff

Notice bibliographique

RevueLirias · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAutophagy in Disease and Therapy
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of Illinois at Urbana-ChampaignUniversity of TorontoNational Institutes of HealthUniversiteit van AmsterdamVlaamse regeringServierEuropean CommissionChina Scholarship CouncilKU LeuvenFlorida State University
Mots-clésPeroxisomeAutophagyOrganelleIntracellularATG8Mitophagy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Peroxisomes are ubiquitous cell organelles critical for cellular lipid and H2O2 metabolism. To maintain functionality in response to environmental changes, new organelles need to be formed, and dysregulated organelles must be selectively removed. Emerging evidence suggests that disturbances in peroxisome homeostasis affect intracellular communication and contribute to diseases such as cancer and neurodegenerative disorders. Given their role as key intermediaries in H2O2 metabolism, peroxisomes are expected to have the capacity to modulate the activity of other cellular processes, including autophagy. Conversely, disruptions in autophagy or pexophagy can lead to the accumulation of dysfunctional peroxisomes, causing metabolic imbalances. Over the past years, several pexophagy receptors or adaptors have been identified, which act cooperatively to target peroxisomes for lysosomal degradation. However, the underlying molecular mechanisms are complex and multifaceted and have only recently begun to receive the attention they deserve. This project aimed to gain deeper insights into (i) whether and how peroxisome dysfunction affects the (selective) autophagic process, (ii) how the health of the peroxisome population is maintained, and (iii) how peroxisomes are integrated into intracellular communication networks. Firstly, to investigate the direct relationship between peroxisomal H2O2 emission and pexophagy, we developed and validated a novel pexophagy living cell reporter, po-mKeima. Subsequently, we established po-DD-DAO HEK-293 and HeLa po-mKeima cell lines, allowing precise modulation of peroxisomal H2O2 production in a dose- and time-dependent manner. Our findings indicate that varying levels of po-H2O2, from low to high, cannot induce pexophagy. Moreover, excessive peroxisomal H2O2 release can oxidatively modify redox-sensitive selective autophagy receptors, such as optineurin (OPTN), and core autophagy proteins, such as ATG3, thereby blocking autophagy at late stages. Notably, by the end of the study, we discovered that endogenous OPTN, a well-documented mitophagy receptor, can localize to peroxisomes and, upon overexpression, trigger pexophagy in a cell type-dependent manner. To further explore the molecular mechanisms underlying OPTN-mediated pexophagy, we first conducted proximity labeling proteomics studies. These studies led to the identification of PEX14, a peroxisomal membrane protein, as an interacting partner of OPTN. Combined with FACS and co-immunoprecipitation analysis, we demonstrated that (i) OPTN interacts with the predicted coiled-coil domain of PEX14 through its ubiquitin-binding domain, but independently of ubiquitin, and (ii) the interaction of OPTN with PEX14 is required for its pexophagy-inducing properties. In summary, our findings indicate that PEX14 serves as a docking factor for OPTN at the peroxisomal membrane, thereby facilitating the interaction between peroxisomes and the autophagic membrane scaffold during OPTN-mediated pexophagy. Finally, we examined the changes in autophagy under conditions in which peroxisome biogenesis was defective, both in vivo and in vitro. We established that the loss of functional peroxisomes in mouse liver impairs autophagy through the mTOR/ULK1 signaling pathway. In our in vitro study, we observed an increase in mitochondrial H₂O₂ levels, accompanied by disruptions in autophagic flux in skin fibroblasts derived from a PEX10H310D/E10Gfs patient. Furthermore, by employing the autophagy stimulator Torin-1, we were able to successfully restore autophagic flux in these cells. Lastly, we demonstrated that compared to control cells, PEX10H310D/E10Gfs cells stably expressing EGFP-PTS1 exhibited distinct patterns in FACS analysis, this FACS-based approach may offer researchers with a swift, cell-based method for screening and identifying drugs to treat patients with PEX10 or other peroxin mutations. In summary, our experimental data offer novel insights into the interplay between peroxisome dysfunction and autophagy, indicating that disturbances in peroxisomal metabolism can modulate (selective) autophagy. Although the molecular triggers of pexophagy remain unclear, our identification of a novel pexophagy receptor, OPTN, and its peroxisomal partner, PEX14, marks a significant discovery. This finding paves the way for exploring peroxisome turnover in both normal physiology and human disease from new perspectives.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,280
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,003
Tête enseignante GPT0,300
Écart entre enseignants0,297 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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