Ailesel ve Sporadik Parkinson Hastalığında ASL/ALT Oranı: Kesitler Arası Lojistik Analizden Öngörüler.

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BackgroundParkinson's disease (PD) exhibits genetic heterogeneity with varying clinical presentations. The aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio has emerged as a potential indicator of neurodegenerative processes, yet its relationship with PD genetic subtypes remains unexplored.ObjectiveThis study aims to investigate the relationship between the AST to ALT ratio (AST/ALT) and different genetic subtypes of PD.MethodsThis retrospective analysis included 1315 PD patients (1005 sporadic, 310 familial) from Parkinson's Progression Markers Initiative (PPMI) databases. Multivariable logistic regression models, restricted cubic splines, and inflection point analysis were employed to assess the relationship between the AST/ALT ratio and genetic subtypes of PD, adjusting for demographic, clinical, and biochemical covariates. Subgroup and sensitivity analyses were conducted to evaluate robustness, and a predictive model was developed using stepwise selection.ResultsCompared with sporadic PD (adjusted odds ratio [OR] 1.69, 95% confidence interval 1.19-2.39, p = 0.003). A nonlinear relationship was identified (nonlinearity p = 0.002), with an inflection point at 1.503. Above this threshold, the association became markedly stronger (OR 22.27, p = 0.0007), whereas no significant association was detected below it. Findings remained consistent across all subgroup and sensitivity analyses. A predictive model incorporating the AST/ALT ratio, along with clinical and demographic factors, achieved a moderate discriminatory ability (area under the curve 0.758).ConclusionsThe AST/ALT ratio demonstrates a significant, nonlinear association with genetic subtypes of PD, particularly among individuals with higher ratio values. This readily accessible serum marker may hold promise for refining PD subtyping and informing personalized management strategies, warranting validation in prospective and diverse cohorts.

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