openSTANFORD, CA

Identifying Druggable Genetic Factors Underlying Radiation-induced Heart Disease

National Heart Lung and Blood Institute

Description

Radiotherapy (RT) is a widely utilized treatment in cancer patients. However, RT for thoracic malignancies can inadvertently harm the heart, resulting in radiation-induced heart diseases (RIHD). Despite the prevalence of RIHD, the underlying mechanisms are not fully comprehended, and effective therapeutic strategies are lacking. Existing preclinical studies have hinted at potential protective effects of statins, ACE inhibitors, and antioxidants against RIHD. However, translating these findings into clinics is hindered by the lack of physiological human models. Rodent and immortalized cell models are inadequate due to their inability to consider individual genetic factors contributing to RIHD. Addressing this gap, my proposal leverages the extensive biobank of human induced pluripotent stem cells (iPSCs) at Stanford, to identify underlie single nucleotide polymorphisms (SNPs) and causal genes associated with an individual's radio-sensitivity and explore potential protective drugs. Specifically, (1) in Aim 1, I will establish a cell village comprising 96 iPSC lines to uncover SNPs linked to RIHD. Cardiomyocytes (CMs) derived from the cell village will be irradiated, simulating damage akin to RIHD, and their response will be assessed based on gene expression and reactive oxygen-species (ROS) levels. By performing a cellular Genome-wide association study (GWAS), SNPs associated with individual radiation responses will be identified. (2) In Aim 2, a high-throughput CRISPR-Cas9 screen will be employed to identify genes responsible for mediating radiation responses in CMs. (3) In the R00 phase, the research will concentrate on validating SNPs associated with radiosensitivity and identifying drugs that target genes linked to these SNPs through virtual screening. The protective effects of these drugs will be tested in 3D engineered heart tissues (EHTs) derived from iPSCs and in a mouse model of RIHD. The conclusion of this endeavor promises to yield profound insights into radio-sensitivity, unveil innovative therapeutic candidates, and propose potential countermeasures for RIHD. This study harmoniously connects with my overarching career goal of establishing myself as an independent researcher in cardiovascular biology and precision radio-oncology, particularly focusing on mitigating radiation- induced cardiovascular toxicities. To ensure the triumph of this endeavor and pave the way for my transition to an independent researcher, my mentor, Dr. Wu, and co-mentor, Dr. Weil, have meticulously devised a tailored career development plan. This plan seamlessly aligns with my research strategy, allowing me to enhance my existing research skills, and facilitates the acquisition of novel research expertise, preliminary data, and additional resources during the K99 phase, propelling me toward autonomy during the R00 phase. With unwavering support from my esteemed mentoring committee and the conducive environment of the globally renowned biomedical research center (Stanford School of Medicine), I am confident in receiving exceptional training that will propel me towards achieving both scientific and career development milestones. Project Number: 1K99HL177331-01A1 | Fiscal Year: 2025 | NIH Institute/Center: National Heart Lung and Blood Institute (NHLBI) | Principal Investigator: Xu Cao | Institution: STANFORD UNIVERSITY, STANFORD, CA | Award Amount: $160,818 | Activity Code: K99 | Study Section: NHLBI Mentored Transition to Independence Study Section[MTI (MA)] View on NIH RePORTER: https://reporter.nih.gov/project-details/1K99HL17733101A1

Interested in this grant?

Sign up to get match scores, save grants, and start your application with AI-powered tools.

Start Free Trial

Grant Details

Funding Range

$160,818 - $160,818

Deadline

July 31, 2027

Geographic Scope

STANFORD, CA

Status
open

External Links

View Original Listing

Want to see how well this grant matches your organization?

Get Your Match Score

Get personalized grant matches

Start your free trial to save opportunities, get AI-powered match scores, and manage your applications in one place.

Start Free Trial