Proteomics reveals the hidden impact of interventions in diabetes
ABSTRACT
Type 2 diabetes typically manifests itself in adulthood, following years of progressively worsening health status, affecting multiple biological systems, pathways and organs. But beyond measuring HbA1c, it has been difficult and expensive to measure the impact of disease and/or interventions that might impact organ damage or risk.
Large-scale proteomics is an emerging field that has recently been shown to not only capture real-time health status, but also to predict or prognose risks of future organ damage, morbidity and mortality. Proteomic models, developed from multiple large clinical and observational studies, have been utilized here to provide a holistic summary of metabolic health and risk of future adverse outcomes from individuals undergoing diabetes intervention.
In this webcast, the impact of both therapeutic (drug) and lifestyle (diet and exercise) interventions will be discussed on a host of cardiometabolic and body composition measures in subjects undergoing intervention compared to placebo or standard of care. The speakers will discuss how these proteomic models can be implemented to design more precise treatment strategies for diabetic patients, moving the field ever closer to realizing the goal of providing personalized care.
Learn:
- What additional information broad scale proteomics can contribute to your research program
- How newly-discovered proteomic signatures can be applied to clinical research
- The benefits of being able to obtain raw proteomic data and clinical assessments from a single 55 µL blood sample
Svati H. Shah, MD, MHS
Professor of Medicine, Director of Precision Genomics
Duke University School of Medicine
Svati H. Shah, MD, MHS, is a physician scientist and Associate Dean of Genomics and Director of Precision Genomics Collaboratory in the Duke School of Medicine; Vice-Chief of Translational Research and Director of the Adult Cardiovascular Genetics Clinic in the Division of Cardiology, Department of Medicine; Co-Director of Translational Research in the Duke Molecular Physiology Institute (DMPI); and a faculty member in the Duke Clinical Research Institute (DCRI). Her research focus is on metabolic and genetic pathways of cardiometabolic diseases, integrating diverse genomic, metabolomic and proteomic techniques for identification of novel mechanisms of disease and biomarkers.
Stephen A. Williams, MD, PhD
Chief Medical Officer, Somalogic
Steve Williams, MD, Ph.D, practiced medicine for over a decade at Charing Cross Hospital before joining Pfizer, where he became the VP and Worldwide Head of Clinical Technology. Since 2009 he has been the Chief Medical Officer at SomaLogic, where his focus has been on developing clinical tests using proteomic signatures.
Naveed Sattar, FMedSci, FRCPath, FRCPGlas, FRSE
Professor of Metabolic Medicine University of Glasgow
Professor Sattar is a clinically active academic, researching the causes, prevention and management of diabetes, obesity and CVD. He has published >1,000 papers, and contributed to several guidelines and clinical trials. He has received multiple award lectures, including 2020’s EASD Camillo Golgi Prize, and is a global Highly Cited Researcher.
Proteomics reveals the hidden impact of interventions in diabetes
A presentation by Svati H. Shah, MD, MHS, Stephen A. Williams, MD, PhD, and Naveed Sattar, FMedSci, FRCPath, FRCPGlas, FRSE
More webinars
WebinarProteomics in Clinical Trials: Lessons from Semaglutide Treatment in Individuals with Obesity
Advancements in proteomic profiling have opened new avenues for understanding the complex mechanisms underlying obesity and its comorbidities. By measuring thousands of proteins at once, researchers gain a comprehensive view of an individual’s metabolic health, revealing subclinical processes and pinpointing potential therapeutic targets.
WebinarPathways to Digital Health: AI and Omics in Rheumatoid Arthritis
Explore how groundbreaking proteomic research is transforming our understanding of rheumatoid arthritis (RA). In this on-demand webinar, Allan Stensballe, PhD, shares new insights into the molecular landscape of RA-affected synovial tissue, revealing how autoantibodies and protein signatures may hold the key to more precise personalized therapies.
WebinarUsing Antibody Profiling to Identify Novel Diagnostic Biomarkers
Current cancer screening methods often lead to false positives, false negatives and invasive biopsies that lack prognostic insights. Emerging research suggests that cancer-specific IgM and IgG antibodies – produced by B cells upon recognizing malignant cells – could serve as stable, easily measurable blood biomarkers for detecting and monitoring high-incidence cancers like melanoma and breast, prostate, bowel, lung and pancreatic cancer. This approach has the potential to improve early diagnosis, reduce uncertainty and enhance treatment planning.