Latest research shows benefit of non-invasive, high-plex protein profiling for liver disease

Pharma researchers use non-invasive SomaSignal® tests to advance understanding and treatment strategies for liver disease and NASH

Exciting new discoveries have been made recently by researchers using the NASH bundle of SomaSignal® tests as a non-invasive, liquid biopsy approach to identify novel protein biomarkers related to liver disease and non-alcoholic steatohepatitis (NASH). See below for recent research from our pharma partners. Want to discuss these results or learn how high-plex protein profiling could accelerate your research? Contact us today.

Preview of Anne Minnich, PhD Webinar

Correlation of a nonalcoholic steatohepatitis proteomic test with clinical outcomes

Anne Minnich, PhD, biomarker consultant at Bristol Myers Squibb, presented published research on the use of the SomaSignal NASH bundle in the recently completed FALCON 1 Phase IIb multicenter trial investigating the use of three pegbelfermin doses in patients with NASH.

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Preview image of EASL poster - Utility Of

Utility of SomaSignal panels for drug response and monitoring disease progression in patients with advanced fibrosis due to nonalcoholic steatohepatitis

Researchers from Liver Institute Northwest, Washington State University, Gilead Sciences, Houston Research Institute, and NAFLD Research Center – University of California San Diego presented results from the Phase IIb ATLAS trial that showed SomaSignal test scores for NASH are significantly associated with histologically assessed NASH Clinical Research Network (CRN) scores and may thus be useful for noninvasive assessment of treatment responses in NASH clinical trials.

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EASL poster - Semaglutide

Semaglutide reduced the odds of having NASH components in populations with overweight/obesity, as measured by SomaSignal models

Researchers from University Medical Center Mainz, Aarhus University Hospital, Novo Nordisk, Virginia Commonwealth University, Diabetes Research Centre – University of Leicester, and NIHR Leicester Biomedical Research Centre applied data from two Phase IIIa weight loss trials and one Phase IIb trial and found semaglutide had a favorable effect on NASH components in patients with overweight/obesity, with and without Type 2 diabetes.

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Want to learn more about SomaSignal tests for pharma research?

Our SomaSignal tests are based on a dataset of ~3 million protein measurements that we developed by analyzing thousands of patients using our high-plex, high-throughput SomaScan Assay. Learn more about the NASH bundle and all our SomaSignal tests here.

Want to know more about using high-plex, aptamer-based protein profiling for NASH research?

See more research, webinars, and our full SomaSignal test portfolio here. And watch our video to see how our proprietary SOMAmer® (Slow Off-rate Modified Aptamer) protein affinity reagents work.

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More posters

PosterQuantitative immunology protein panel built on the SomaScan Assay platform

The SomaScan® assay is a highly multiplexed proteomic assay that uses SOMAmer® reagents to detect proteins in various biological samples. The latest version of the SomaScan assay allows researchers to measure over 11,000 proteins in human blood. The SomaScan assay is designed to provide protein epitope abundance measurements by reporting relative SOMAmer reagent abundance quantified using DNA microarrays.

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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.

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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).

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