Retinal amyloid deposits found in association with Alzheimer’s disease compared with those in age‐related macular degeneration
Notice bibliographique
Résumé
Abstract Background Alzheimer’s disease (AD) and age‐related macular degeneration (AMD), both associated with ageing, share common underlying pathology, in that both have been shown to be associated with retinal amyloid deposits. However, amyloid in association with AD has been found in more anterior retinal layers, while amyloid in AMD is typically found in association with drusen, in posterior retinal layers. Here, we compare amyloid deposits found in anterior and posterior layers of the retina. Method Eyes were obtained from donors, including those with an intermediate (n=2) or high likelihood of AD (n=10). The severity of AD was assessed from brain pathology. Retinas were stained with 0.1% Thioflavin‐S, counter‐stained with DAPI and flat mounted. Retinal deposits were imaged using a fluorescence microscope fitted with a polarimeter. For each deposit, retinal layer was recorded (anterior, n=264; posterior, n=65). From 16 polarimetric images, interactions with polarized light were derived and image texture was assessed via multifractal analysis (MFA). 15 MFA properties were calculated. Using principal component analysis, the polarimetric and MFA variables which explain most of the variance within each group of deposits (anterior and posterior) were determined. These variables were then input into a non‐parametric discriminatory analysis to separate and classify deposits by retinal location (anterior or posterior). Result Following principal component analysis, 12 polarimetric and 7 MFA properties were retained. Using the 5 nearest neighbours, a non‐parametric discriminate analysis was able to discriminate between deposits found in the anterior and posterior of the retina with success rate of 76% (+/‐3%) using 4‐fold cross‐validation. Conclusion In conclusion, a combination of polarimetric properties and textural features of retinal amyloid deposits can be used to discriminate between anterior and posterior deposits. This suggests that the properties of deposits found in AD (expected in anterior layers) and AMD (expected in posterior layers) can be differentiated. Furthermore, an ability to distinguish these two types of retinal amyloid deposits in live‐eye imaging would assist their differential classification as associated with AD or AMD pathology. This could improve specificity of diagnosis in each of these conditions.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| 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 | 0,001 |
| 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 | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».