AI Article Synopsis

  • Alzheimer's Disease (AD) exhibits notable differences in how it affects women compared to men, yet it is not fully recognized as a women's health issue, hindering the development of targeted treatments.
  • Key risk factors such as age and genetic predispositions impact women differently, and sociocultural aspects contribute to the gender disparities observed in AD prevalence and progression.
  • Integrating new diagnostic techniques with a focus on sex-specific data and utilizing precision medicine could revolutionize AD research and treatment, improving outcomes for women.

Article Abstract

Alzheimer's Disease (AD) is marked by pronounced sex differences in pathophysiology and progression. However, the field has yet to fully recognize AD as a women's health issue, delaying the development of targeted preventative strategies and treatments. This perspective explores the elements impacting AD in women, identifying sex specificity in risk factors, highlighting new diagnostic approaches with electronic health records, and reviewing key molecular studies to underscore the need for integrative precision medicine approaches. Established AD risk factors such as advancing age, the apolipoprotein E4 allele, and poorer cardiovascular health affect women differently. We also shed light on sociocultural risk factors, focusing on the gender disparities that may play a role in AD development. From a biological perspective, sex differences in AD are apparent in biomarkers and transcriptomics, further emphasizing the need for targeted diagnostics and treatments. The convergence of novel multiomics data and cutting-edge computational tools provides a unique opportunity to study the molecular underpinnings behind sex dimorphism in AD. Thus, precision medicine emerges as a promising framework for understanding AD pathogenesis through the integration of genetics, sex, environment, and lifestyle. By characterizing AD as a women's health challenge, we can catalyze a transformative shift in AD research and care, marked by improved diagnostic accuracy, targeted interventions, and ultimately, enhanced clinical outcomes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11106001PMC
http://dx.doi.org/10.1038/s44294-024-00021-3DOI Listing

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