Using a proteomics-based cardiovascular risk test to identify systemic changes in a clinical trial of nonalcoholic fatty liver disease
Nonalcoholic steatohepatitis (NASH) is associated with increased cardiovascular outcomes. Assessment of the impact of NASH therapy on cardiovascular risk is an important element of NASH drug development but is challenging particularly in early phase trials. Aptamer-based proteomic profiles (Somalogic®) in serum have been used to develop and validate a risk score as a surrogate for
cardiovascular (CV) risk.
A post-hoc analysis of proteomic profiles of serum samples, using the Somalogic® platform, from the Pioglitazone vs. Vitamin E vs. Placebo for Treatment of Nonalcoholic FaWy Liver Disease (PIVENS) trial was conducted. PIVENS was a 96-week trial of nondiabetic participants with (NASH). We applied the proteomic CV risk scores to samples from baseline, on therapy and end of treatment visits (n=7) visits and received liver histology results at baseline and 96 weeks on N = 209 (84.6%) study participants. Generalized linear and mixed models were used to assess the association between CV risk score, treatment arm and change in liver biopsy results.
Baseline scores were similar across groups (mean 0.19, SD 0.14). There was no association between treatment arms and changes in scores during therapy and end of treatment. However, improvement in histological markers of activity (lobular inflammation and NAFLD activity score) and fibrosis were associated with improved cv risk scores (Figure) (p< 0.05 for all).
Improvement in hepatic inflammation, NAFLD activity score and fibrosis were associated with improved proteomic CV risk scores regardless of treatment provided. Additional prospective validation of these findings is warranted. Proteomic profiling can potentially be used to track changes in cardiovascular risk profile changes in response to therapy in the short term NASH treatment trials.
Michael A. Hinterberg
Anna Mae Diehl
David E Kleiner
Stephen A. Williams
SomaLogic Operating Co., Inc., Boulder, CO, USA
PosterComparison of Proteomic CV Risk to Established ASCVD 10-Year Risk Decision Points
The ASCVD pooled cohort equation (PCE) is well-established for CV risk assessment. Decision points for determining treatment plans are low, intermediate and high risk over 10 years, however this approach over and underestimates risk in certain subgroups. The validated CV Risk SomaSignal® Test (SST) provides 4-year risk probability of MACE allowing for timely assessment of risk, but the shorter timescale makes comparison to 10-year PCE risk less intuitive.
PosterStatin signature: using proteomics to detect pharmacological fingerprints
Using a previously described metacohort (n=5,575) of patients with increased CV risk, we hypothesized that PCE would stratify patients differently than the CV Risk SST, and that CV Risk score scaled to 10 years would yield an improved net reclassification index (NRI).
PosterUtilization of proteomic surrogates for early detection of unexpected drug benefits
Detection of benefits and adverse effects of therapies in early clinical trial phases could improve the safety, efficiency, and cost of clinical trials. Earlier identification of their benefits beyond improved diabetic control may have had the potential to save loss of patients’ lives and years of sales.