Leo Buckley

Mass General Brigham

2 active projects

Cardiometabolic Pharmacology Research (v7)

The purpose of this project is to expand our knowledge of cardiometabolic pharmacology. We will study how a person's genes or genetic code influences their chances of developing heart disease. Additionally, we will study whether that influence is related to…

Scientific Questions Being Studied

The purpose of this project is to expand our knowledge of cardiometabolic pharmacology. We will study how a person's genes or genetic code influences their chances of developing heart disease. Additionally, we will study whether that influence is related to molecules in the body that can be changed by different medications. For example, we will compare people with different versions of a gene. If the different versions of the gene are linked to higher or lower risk of heart disease and higher or lower levels of a protein, then we can infer that the protein might cause the disease to occur. If that protein can be changed by a medication, then this research would suggest that using medications to change the protein levels or function could lower the risk of heart disease.

Project Purpose(s)

  • Disease Focused Research (congestive heart failure)
  • Drug Development
  • Ancestry

Scientific Approaches

We will use demographic data, like age and gender, as well as clinical data, like medical history and lab values. We will also use genetic data. All of these datasets will be integrated to allow us to answer our overall scientific questions of whether certain genes influence the chances of getting heart disease. The research methods fall under the category of clinical epidemiology (techniques like linear regression) and genetic epidemiology (techniques like genome-wide association studies).

Anticipated Findings

We hope to learn more specific mechanisms of action for various cardiometabolic treatments. Ultimately, we hope that this research will identify specific proteins that can be changed by a medication to lower someone's chances of getting heart disease. While our research cannot prove 100% that a medication will lower the chances of getting heart disease, we can provide strong evidence that such medications could be helpful. This type of research has already helped pick which medications should be studied in clinical trials to determine whether that medication lowers the risk of heart disease.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Pharmacoequity of SGLT2 inhibitors

This study is going to analyze the patterns of adherence of an antidiabetic drug to understand the factors that affect the adherence to the drug

Scientific Questions Being Studied

This study is going to analyze the patterns of adherence of an antidiabetic drug to understand the factors that affect the adherence to the drug

Project Purpose(s)

  • Population Health

Scientific Approaches

This study will use the medications dataset and the information of people using the drug of interest

Anticipated Findings

The study would find out what factors affect medication adherence and why it is important. This information can be used to find strategies to improve adherence.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

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