- February 28, 2025
- Robert Chen and Christopher E. Mason, et al., Weill Cornell Medicine
Topic/Product:
Inflammation Panel 250
Disease Area:
Exercise
Sample Type:
Dried Blood Spot (DBS)
Abstract
Microsampling techniques, particularly dried blood spots (DBS), offer a minimally invasive alternative to venipuncture for biomarker profiling in endurance exercise. This study leverages NULISAseq, an ultra-sensitive proteomics platform, to analyze inflammatory responses in athletes participating in a half-marathon. A cohort of six individuals—three endurance athletes and three sedentary controls—underwent longitudinal blood collection at five timepoints: pre-run (R-7, R-1), mid-run (R), and post-run (R+1, R+7). DBS samples were processed using the NULISAseq 250-plex Inflammation Panel to quantify inflammatory biomarkers.
Principal component analysis revealed a significant inflammatory shift in athletes during the run, with a 3.9-fold greater proteomic change than controls. Trend analysis identified key inflammatory markers, including IL-6, TNFRSF8, and VEGFD, with individualized response patterns suggesting distinct recovery profiles. Furthermore, Inflammation Age increased transiently in athletes post-run, indicating acute immune activation. These findings demonstrate the feasibility of field-based proteomics using DBS and highlight potential biomarkers for exercise-induced stress and recovery, which underscores the potential of high-throughput proteomics in optimizing training and recovery strategies for athletes.
Authors & Affiliations
Robert Chen1*, Karl Garcia2, Tsz H. Tam2, Joanne Beer2, Niyati Jhaveri2, Mohith Arikatla1, Brian Joseph3, Ashley Kleinman1, Erik LeRoy1, Max Mahoney2, Begum Mathyk4, Sara Omar1, Natalie Peralta1, Jacqueline Proszynski1, Anurag Sakharkar1, Annalise Schweickart1, Jordan Weiss5, Jan Krumsiek1,6, Christopher E Mason1*
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Alamar Biosciences, Inc, Fremont, CA, USA
- Department of Pathology and Cellular Biology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Obstetrics and Gynecology, University of South Florida Morsani College of Medicine, Tampa, FL, USA
- Optimal Aging Institute and Division of Precision Medicine, NYU Grossman School of Medicine, New York, NY, USA
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
