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Enregistrement W4415096804 · doi:10.3389/fmolb.2025.1712184

Editorial: Evolution, biochemistry and function of the dystroglycan-axis: from human diseases to model organisms

2025· editorial· en· W4415096804 sur OpenAlexaff
Aaron M. Beedle, Mohammed Akaaboune, Bulmaro Cisneros, Andrea Brancaccio

Notice bibliographique

RevueFrontiers in Molecular Biosciences · 2025
Typeeditorial
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueMuscle Physiology and Disorders
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésExtracellular matrixExtracellularDystroglycanEndoplasmic reticulumTransmembrane proteinFunction (biology)IntracellularCytosolCell adhesion

Résumé

récupéré en direct d'OpenAlex

Over the last 30 years, the field of dystroglycan (DG) research has garnered significant attention due to its critical role as a non-integrin adhesion complex that bridges the extracellular matrix to the cytoskeleton. The DG adhesion complex is fundamental both during development and in adulthood. It is composed of two noncovalently interacting subunits arising from the cleavage of a single product: the extracellular and heavily glycosylated -DG, which binds with high affinity to extracellular matrix partners, and the transmembrane -DG, whose cytodomain includes a dystrophin binding site. DG, the core of the larger dystrophinglycoprotein complex, provides a fundamental link between the extracellular matrix and the intracellular cytoskeleton. The involvement of -DG in severe neuromuscular diseases, such as Walker-Warburg Syndrome (WWS), Muscle-Eye-Brain (MEB) disease, and autosomal recessive Limb-Girdle muscular dystrophy type 2P, underscores its importance in biomedicine. As outlined by the studies of Esapa et al. and Sciandra et al., several recent works have expanded our understanding of DG biochemistry, structure, and function, revealing its potential as a target for personalized therapeutic approaches. Based on these premises, substantive work is necessary to further unravel the molecular aspects of the DG complex that remain elusive, hindering our full comprehension of its pathophysiological and biochemical role in cells and tissues.Sugar moieties forming the unusual -DG glycan structure play a crucial role for its function by working as a "scaffold" (also known as matriglycan) that is recognized by laminins and other extracellular binding partners. A series of enzymes, mostly glycosyltransferases located in the endoplasmic reticulum and Golgi, are responsible for the correct post-translational modification of -DG. Genetic alterations of the corresponding genes cause the "secondary dystroglycanopathies", due to the loss of -DG functional glycans, highlighting the importance of a full molecular characterization of these enzymes to elucidate their mechanism of action.The first study in this Research Topic, an original research work by Esapa et al. is focused on one of these important enzymes, FKRP (Fukutin-related protein), which is a ribitol phosphotransferase. Intracellular dynamics and structural consequences of a panel of missense mutations affecting the FKRP protein have been analysed using a range of different techniques, showing that mutations significantly affect the overall aggregation state of the protein altering disulfides bridges and folding. Using fluorescence recovery after photobleaching, it was shown that the intracellular mobility of most FKRP mutants is significantly impaired but can be rescued by reducing agents. Mass spectrometry was used to show that wild type and mutant FKRP differentially associate with several endoplasmic reticulum (ER)-resident chaperones, whereas structural modelling was employed to show that disease-associated FKRP missense mutations affected the local environment of the protein. Overall, this study strongly reinforces the notion that protein misfolding contributes to the molecular pathophysiology of FKRPdeficient muscular dystrophies, opening possible therapeutic avenues based on molecules that rescue this folding defect.In the second contribution, a mini-review by Sciandra et al. investigates how the DG complex is involved in both adhesion and signalling. The timely review explores the capability of DG to form or belong to, different sub-complexes in different tissues such as skeletal muscle, the nervous system, the retina and others. It then focuses on a limited amount of works suggesting that DG can behave as a mechano-transducing receptor, with particular emphasis on innovative topics such as the possible role played by the agrin-DG-YAP interaction in cardiac muscle regeneration, or the intriguing role proposed for -DG in the nucleus.An intriguing mini-review by Katz & Diskin addresses the importance of -DG glycosylation and its role in infectious diseases such as viral infections caused by arenaviruses. In fact, it is well-known that Lassa virus (LASV) targets the long linear polysaccharide matriglycan protruding from the -DG core protein to enter cells. A particular focus is dedicated to recent structural data on LARGE1 and on the LASV spike complex collected in the two authors' laboratories, offering novel structural insights into LARGE1 synthesis of matriglycan. We believe that both mini-reviews are of strong appeal to the wider DG-oriented scientific community, as they deal with numerous subjects related to the role of the DG-axis that are still relatively unexplored, despite having an impact in several branches of biomedicine.The final contribution in this Research Topic, an original research paper by Sciandra et al. reported on how a panel of DG missense mutants (analyzed versus the wild-type protein) can affect the post-translational trafficking and localization of the mature complex. Collecting a series of microscopic images at super-resolution in live transfected cells, enabled the authors to show the presence of some significant differences in the subcellular pattern of localization in different cell lines, that could be used to predict functional consequences of a mutant protein.The crucial take-home message in this case being that, for an accurate analysis of primary dystroglycanopathy-causing mutations to have potential diagnostic/prognostic value, a panel of different cells should be employed, rather than a single cell line.While the DG-field has profited from recent novel structural data collected through 3D cryoelectron microscopy (cryo-EM) analysis. Our overall impression is that there is still a significant lack of knowledge on many evolutionary, biochemical and functional details concerning the DG complex. In this respect, our Research Topic could be regarded as an early milestone in the path to establishing additional new investigative approaches and models, particularly from laboratories so far working "only at the periphery" of the DG complex. Once again, we wish to stress the relevance that establishing multidisciplinary research approaches could have for solving a series of questions still open over the biological role of the DG-axis.

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)0,014
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 enseignants0,019
Score d'incertitude au seuil0,064

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,014
Méta-épidémiologie (sens strict)0,0050,001
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0030,001
Études des sciences et des technologies0,0020,002
Communication savante0,0050,005
Science ouverte0,0050,001
Intégrité de la recherche0,0110,013
Charge utile insuffisante (le modèle a refusé de juger)0,0190,014

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 Opus0,002
Tête enseignante GPT0,216
Écart entre enseignants0,214 · 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'admission1
Résumé présentoui

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