Gene expression profiling in neurodegenerative diseases such as Alzheimer’s Disease (AD) is frequently performed using real-time quantitative polymerase chain reaction (RT-qPCR). The accuracy of this technique relies heavily on selecting suitable reference genes (RGs) for normalization and internal control. Ideally, RGs should maintain consistent transcription levels, unaffected by cellular or pathological changes. However, identifying stable RGs is challenging, particularly in diseases like AD, where gene expression fluctuates across disease stages. This study aimed to determine the most stable RGs in two brain regions - cortex (CTX) and hippocampus (HIPP) - of male and female 5XFAD mice, a model of familial AD. The stability of five commonly used RGs namely Gapdh, Ppia, Rer1, Rpl27 and Rps29, was evaluated using GeNorm, NormFinder, BestKeeper, and EndoGene algorithms across three AD stages: prodromal (2 months of age, mo), early (4 mo), and late (7 and 10 mo). Results revealed region-, sex-, and time-dependent differences in RG expression stability, reflecting the distinct vulnerability of CTX and HIPP to Aβ pathology. Using the two most stable RGs for normalization improved precision, reducing variability and increasing the significance level in target gene expression analyses. These findings emphasize the necessity of validating RGs under specific experimental conditions to ensure reliable RT-qPCR quantification in AD research.
Daini et al. (Wed,) studied this question.