Genetic and molecular analysis or Sanfilippo C syndrome. Generation of a neuronal model using human induced pluripotent stem (iPS) cells and therapeutic strategies
Notice bibliographique
Résumé
Sanfilippo C syndrome is a lysosomal storage disorder that presents an autosomal recessive inheritance pattern and is caused by mutations in the HGSNAT gene, identified in 2006 in the chromosome 8. This gene codes for a lysosomal transmembrane protein, acetyl-CoA α-glucosaminide N-acetyltransferase, which acetylates the terminal glucosamine in the heparan sulfate chain during its degradation, a crucial step previous to the action of the next enzyme of the pathway. Heparan sulfate is a glycosaminoglycan localized in the extracellular matrix being part of proteoglycans and participate in several and important cellular processes. The HGSNAT protein dysfunction promotes the storage of partially degraded heparan sulfate chains inside the lysosomes, causing an alteration in many different cellular processes and affecting especially neurons. This fact promotes the progressive and severe neurodegeneration that appears during childhood as the main phenotypic feature in patients.\n\n\t\t\t\t This thesis represents an important study on the molecular basis of Sanfilippo C syndrome. Firstly, a mutational analysis has been performed, identifying the mutations causing the disease in 15 patients from different origins. A total of 13 different mutations have been found, seven of which were not previously described. The pathogenicity of four missense mutations identified has been proved by measuring the enzyme activity after in vitro expression of the proteins. Also, the pathogenicity of five mutations affecting different conserved splice sites has been demonstrated since they were shown to alter the splicing process. It has been established that two prevalent mutations in Spanish patients accounts for almost the 70% of the total and, using a haplotype analysis, a single origin for each of them has been suggested.\n\n\t\t\t\t Secondly, some therapeutic approaches have been tested, as a first step in the pursuit of an effective therapy that to date does not exist for this disease. The use of modified U1 snRNAs that present a higher complementarity to the mutated splice site sequences than the wild type U1 snRNA has been proved to partially restore the normal splicing process for one of the splicing mutations analyzed. In the case of missense mutations or mutations that result in the loss of some amino acids, this work suggests the possibility to use glucosamine as a chaperone to prevent the incorrect folding of the protein and to facilitate the trafficking process of the protein from the endoplasmic reticulum to the Golgi apparatus. Finally, the use of siRNAs to inhibit important genes in the heparan sulfate synthetic pathway, specifically the EXTL genes, has been suggested as a possible substrate reduction therapy, with the best results obtained on the inhibiton of EXTL2 expression. \n\n\t\t\t\t Finally, during this thesis, a neuronal model for Sanfilippo C syndrome has been obtained. This represents an important progress in the study of this disease since to date, neither cellular nor animal model exists. To achieve this goal, fibroblasts from two different Sanfilippo C patients have been reprogrammed to produce induced pluripotent cells that later have been differentiated to neurons. It has been demonstrated that these neurons present the typical phenotypic features of the disease such as the lack of enzyme activity, the heparan sulfate storage, the increased size and number of lysosomes, an alteration in the autophagy process and an increase in the number of apoptotic cells. Using specific experiments to study the neuronal activity in these cultures, a progressive decrease in the patients’ neurons activity and problems in the maintenance of the developed neuronal networks has been detected. This model will be a good platform to study profoundly the molecular, cellular and brain basis of the disease and to develop and test different therapeutic approaches for Sanfilippo C syndrome in the cellular type most affected in patients.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».