Creation of an in-vitro¬ Co-culture Model of Microglia and Retinal Pigment Epithelium Cells for Investigating the Innate Immune Mechanisms of the Retina
Notice bibliographique
Résumé
Background: The immune mechanisms of the retina in response to gene therapy have been previously understudied due to assumptions of ocular immune privilege. Ocular immune privilege is the concept that there is a tolerance or reduced immune response to antigen exposure in the eye. With the recent FDA and Health Canada approvals of the first ocular gene therapy, Luxturna, there has been a resurgence of interest in viral vector-based gene therapies for treating of ocular pathologies. Inherited retinal dystrophies (IRDs), in particular, of the outer retina may be treated through masking for the loss of function of the mutated gene with the introduction of the Wild Type (WT) copy. In treatment for IRDs such as choroideremia, adeno-associated virus serotype 2 (AAV-2) viral vector is delivered to the inner retina through a sub-retinal injection with the intent of targeting the retinal pigment epithelium (RPE) cells. Recent studies and clinical trials have reported poor outcomes as a result of this procedure for WT gene delivery which included inflammation causing unwanted damage to ocular tissues. Purpose: The aim of this study was to create and test the immunological activity in an in vitro co-culture model using induced pluripotent stem cell (iPSC) derived RPE cells and SV-40 immortalized microglia to model interactions of two resident immune cells found in the retina. I hypothesize that the model will respond to treatment with pro-inflammatory master regulators IL-1β and TNF-α in a dose dependent matter including the secretion of pro-inflammatory cytokines. Methods: iPSC RPE cells were grown on cell culture plates until the demonstration of pigmentation, polarization, polygonal morphology, and markers characteristic of RPE. SV-40 microglia cells were grown on permeable supports until mature. The cell types were combined by moving the permeable inserts into the cell culture plates with iPSC RPE cells to form the co-culture model. The model was treated with a series of pro-inflammatory stimulants including IL-1β, TNF-α and Poly(I:C) and inflammatory response was measured using an enzyme-linked immunosorbent assay (ELISA) and RT-qPCR to quantify secreted pro-inflammatory cytokines IL-6, IL-8 and CCL-2. Medium was sampled for ELISA analysis across 5 timepoints: at the time of treatment, 3 hours, 24 hours, 72 hours and 168 hours post treatment. Results: Techniques were established in this study which increased the survival and maintenance of the mature monolayer of the RPE cells in both the presence and absence of microglial cells. These improvements were observed through visual inspection of cultured RPE cells using an EVOS cell Imaging System with images captured at 10x magnification. Upon testing the co-cultured RPE and microglia model with pro-inflammatory stimuli and using an ELISA assay and RT-qPCR to measure the secretion of pro-inflammatory cytokines (IL-6, IL-8 and CCL-2), no statistically significant differences were found between the untreated controls and pro-inflammatory treatments at each time point. Levels of IL-6, IL-8 and CCL-2 increased across timepoints, although treatment at all levels did not yield significant differences. Conclusions: The model and alterations to RPE growth established in this study will aid in future iterations of study using this model. Further testing of the immunological features of this proposed model is required in order to establish whether or not it may provide insight into the immune mechanisms of the retina. It may be advisable to use co-stimulatory treatments or other pro-inflammatory stimulus to further test the immunological capabilities of this system in vitro.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».