Characterization of brain resilience in Alzheimer's disease using polygenic risk scores and further improvement by integrating mitochondria-associated loci.

[Display omitted] • Characterizing the heterogeneity of individual cognitive aging from a mitochondrial perspective. • Comprehensively assessing brain resilience through genetic metrics. • Individuals' levels of brain resilience were comprehensively measured by eight pathological characteristics. • The performance of PRS models could be efficiently improved by incorporating mitochondria-related loci. • Significant implications for the prevention and intervention of Alzheimer's disease. Identification of high-risk people for Alzheimer's disease (AD) is critical for prognosis and early management. Longitudinal epidemiologic studies have observed heterogeneity in the brain and cognitive aging. Brain resilience was described as above-expected cognitive function. The "resilience" framework has been shown to correlate with individual characteristics such as genetic factors and age. Besides, accumulative evidence has confirmed the association of mitochondria with the pathogenesis of AD. However, it is challenging to assess resilience through genetic metrics, in particular incorporating mitochondria-associated loci. In this paper, we first demonstrated that polygenic risk scores (PRS) could characterize individuals' resilience levels. Then, we indicated that mitochondria-associated loci could improve the performance of PRSs, providing more reliable measurements for the prevention and diagnosis of AD. The discovery (N = 1,550) and independent validation samples (N = 2,090) were used to construct nine types of PRSs containing mitochondria-related loci (PRSMT) from both biological and statistical aspects and combined them with known AD risk loci derived from genome-wide association studies (GWAS). Individuals' levels of brain resilience were comprehensively measured by linear regression models using eight pathological characteristics. It was found that PRSs could characterize brain resilience levels (e.g., Pearson correlation test P min = 7.96 × 10 - 9 ). Moreover, the performance of PRS models could be efficiently improved by incorporating a small number of mitochondria-related loci (e.g., Pearson correlation test P improved from 1.41 × 10 - 3 to 6.09 × 10 - 6 ). PRSs' ability to characterize brain resilience was validated. More importantly, by incorporating some mitochondria-related loci, the performance of PRSs in measuring brain resilience could be significantly improved. Our findings imply that mitochondria may play an important role in brain resilience, and targeting mitochondria may open a new door to AD prevention and therapy. [ABSTRACT FROM AUTHOR]