Translational strategies and systems biology insights for blood-brain barrier opening and delivery in brain tumors and Alzheimer's disease.

The blood-brain barrier (BBB) plays a critical role in determining the effectiveness of systemic treatments for brain diseases. Over the years, several innovative approaches in BBB opening and drug delivery have been developed and progressed into clinical testing phases, including focused ultrasound (FUS) with circulating microbubbles, mannitol-facilitated delivery of anti-neoplastic drugs, receptor-mediated transcytosis (RMT) by antibody-drug conjugates (ADCs), and viral vectors for gene therapy. We provided a comprehensive review of the most recent clinical applications of these approaches in managing brain tumors and Alzheimer's disease (AD), two major devastating brain diseases.

Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics.

Polygenic risk scores (PRS) calculated from genome-wide association studies (GWAS) of Europeans are known to have substantially reduced predictive accuracy in non-European populations, limiting their clinical utility and raising concerns about health disparities across ancestral populations. Here, we introduce a statistical framework named X-Wing to improve predictive performance in ancestrally diverse populations. X-Wing quantifies local genetic correlations for complex traits between populations, employs an annotation-dependent estimation procedure to amplify correlated genetic effects between populations, and combines multiple population-specific PRS into a unified score with GWAS summary statistics alone as input.

Predicting cancer drug TARGETS - TreAtment Response Generalized Elastic-neT Signatures.

We are now in an era of molecular medicine, where specific DNA alterations can be used to identify patients who will respond to specific drugs. However, there are only a handful of clinically used predictive biomarkers in oncology. Herein, we describe an approach utilizing in vitro DNA and RNA sequencing and drug response data to create TreAtment Response Generalized Elastic-neT Signatures (TARGETS).