R01HL153499
Project Grant
Overview
Grant Description
Elucidating the Biology of Cardiovascular Risk in Hemodialysis Patients Using Proteomics - Project Summary
The 500,000 patients in the United States with end-stage renal disease (ESRD) on hemodialysis (HD) suffer extraordinarily high rates of mortality at ~18% per year, with 50% of these deaths attributed to cardiovascular disease (CVD): namely, atherosclerotic CVD, heart failure, and sudden cardiac death. Effective approaches for prevention, treatment, and risk stratification in the HD population are lacking. Medical therapies that are effective in patients without ESRD, such as statins, are not beneficial for patients with ESRD when tested in randomized clinical trials. Ironically, traditional CVD risk factors, such as hypercholesterolemia, obesity, and hypertension, have 'reverse' associations with CVD outcomes among these patients as compared to the general population.
Major obstacles to progress in these areas that are addressed in our proposal include:
1) Poor understanding of the disturbed biology in patients on HD that leads to poor CVD outcomes; and
2) Failure to consider CVD in the HD population as a complex, potentially heterogeneous entity that calls for a personalized approach to CVD risk stratification using CVD models that are individualized and whose risk factors are modifiable.
Circulating protein levels can serve as modifiable biomarkers for CVD risk, guide therapy, and elucidate causal biological pathways and mechanisms. We plan to take advantage of an advanced modified aptamer assay (SOMAscan) that measures ~5000 proteins in just 175μL of plasma with high sensitivity and specificity. To date, no studies have utilized large-scale proteomics to understand outcomes and biological mechanisms in patients with ESRD on HD.
In Aim 1, we propose to study proteins associated with clinical CVD outcomes in 649 participants of the Chronic Renal Insufficiency Cohort (CRIC) who have had one or more study visits after initiation of HD, and validate our findings in 408 participants in the Predictors of Arrhythmic and Cardiovascular Risk in ESRD study.
In Aim 2, we will investigate changes in proteins that associate with progression or regression of left ventricular mass in the Frequent Hemodialysis Network, and validate our findings in CRIC. Proteomics will be measured at two time-points 1-2 years apart in 2/3 of the 1324 participants so that we may study single time-point proteins as well as protein trajectories. We will employ innovative methods, including stratified Cox analyses that support differing baseline hazards for participants with and without CVD, and time-dependent covariates for risk models, to accommodate intervening events in our analysis of protein changes. Agnostic and targeted pathway analyses will elucidate biological networks among protein predictors.
In carrying out these aims, we will create accurate, personalized, and mutable risk models for CVD events in HD patients. We will identify heretofore-unknown proteins and biological pathways associated with CVD; some of these may eventually become targets for interventional strategies for ESRD patients on HD, who are in great need of new therapies to improve their poor outcomes.
The 500,000 patients in the United States with end-stage renal disease (ESRD) on hemodialysis (HD) suffer extraordinarily high rates of mortality at ~18% per year, with 50% of these deaths attributed to cardiovascular disease (CVD): namely, atherosclerotic CVD, heart failure, and sudden cardiac death. Effective approaches for prevention, treatment, and risk stratification in the HD population are lacking. Medical therapies that are effective in patients without ESRD, such as statins, are not beneficial for patients with ESRD when tested in randomized clinical trials. Ironically, traditional CVD risk factors, such as hypercholesterolemia, obesity, and hypertension, have 'reverse' associations with CVD outcomes among these patients as compared to the general population.
Major obstacles to progress in these areas that are addressed in our proposal include:
1) Poor understanding of the disturbed biology in patients on HD that leads to poor CVD outcomes; and
2) Failure to consider CVD in the HD population as a complex, potentially heterogeneous entity that calls for a personalized approach to CVD risk stratification using CVD models that are individualized and whose risk factors are modifiable.
Circulating protein levels can serve as modifiable biomarkers for CVD risk, guide therapy, and elucidate causal biological pathways and mechanisms. We plan to take advantage of an advanced modified aptamer assay (SOMAscan) that measures ~5000 proteins in just 175μL of plasma with high sensitivity and specificity. To date, no studies have utilized large-scale proteomics to understand outcomes and biological mechanisms in patients with ESRD on HD.
In Aim 1, we propose to study proteins associated with clinical CVD outcomes in 649 participants of the Chronic Renal Insufficiency Cohort (CRIC) who have had one or more study visits after initiation of HD, and validate our findings in 408 participants in the Predictors of Arrhythmic and Cardiovascular Risk in ESRD study.
In Aim 2, we will investigate changes in proteins that associate with progression or regression of left ventricular mass in the Frequent Hemodialysis Network, and validate our findings in CRIC. Proteomics will be measured at two time-points 1-2 years apart in 2/3 of the 1324 participants so that we may study single time-point proteins as well as protein trajectories. We will employ innovative methods, including stratified Cox analyses that support differing baseline hazards for participants with and without CVD, and time-dependent covariates for risk models, to accommodate intervening events in our analysis of protein changes. Agnostic and targeted pathway analyses will elucidate biological networks among protein predictors.
In carrying out these aims, we will create accurate, personalized, and mutable risk models for CVD events in HD patients. We will identify heretofore-unknown proteins and biological pathways associated with CVD; some of these may eventually become targets for interventional strategies for ESRD patients on HD, who are in great need of new therapies to improve their poor outcomes.
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Dallas,
Texas
75390
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 198% from $1,140,149 to $3,395,672.
The University Of Texas Southwestern Medical Center was awarded
Proteomics-Based Cardiovascular Risk Assessment in Hemodialysis Patients
Project Grant R01HL153499
worth $3,395,672
from National Heart Lung and Blood Institute in May 2021 with work to be completed primarily in Dallas Texas United States.
The grant
has a duration of 4 years and
was awarded through assistance program 93.837 Cardiovascular Diseases Research.
The Project Grant was awarded through grant opportunity NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Complete)
Last Modified 6/20/24
Period of Performance
5/14/21
Start Date
4/30/25
End Date
Funding Split
$3.4M
Federal Obligation
$0.0
Non-Federal Obligation
$3.4M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01HL153499
Transaction History
Modifications to R01HL153499
Additional Detail
Award ID FAIN
R01HL153499
SAI Number
R01HL153499-2871587281
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75NH00 NIH NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
Funding Office
75NH00 NIH NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
Awardee UEI
YZJ6DKPM4W63
Awardee CAGE
1CNP4
Performance District
TX-30
Senators
John Cornyn
Ted Cruz
Ted Cruz
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Heart, Lung, and Blood Institute, National Institutes of Health, Health and Human Services (075-0872) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,523,055 | 100% |
Modified: 6/20/24