Pre-vaccine sentinel antibodies predict blunted vaccine responses
Year: 2026
Type: article
Study design: Observational Study
Abstract: Predicting which individuals will mount poor antibody responses before vaccination could improve personalized vaccination strategies. Here, we conducted a national longitudinal study of humoral immune responses to 185 antigens, including SARS-CoV-2 ( n = 3), common microbial pathogens ( n = 157), and autoantigens ( n = 25), in 1,644 immunosuppressed patients and 2,445 healthy individuals before and after COVID-19 vaccination. Although blunted COVID-19 vaccine responses were more frequent in solid organ transplant recipients and individuals with multiple myeloma, autoimmune disease, inflammatory bowel disease, and human immunodeficiency virus, responses were highly heterogeneous within every cohort, and approximately 5%–6% of healthy individuals also mounted weak responses. Pre-existing antibodies to common microbes, including Staphylococcus aureus , respiratory syncytial virus, and human respirovirus 3, consistently predicted post-vaccination antibody responses in both healthy and immunosuppressed populations. These broadly prevalent antimicrobial antibodies represent sentinel antibodies that may serve as biomarkers of system-level humoral immune competence. Using global antimicrobial antibody profiles, we developed a deep-learning predictive model that stratified individuals according to their likelihood of mounting blunted vaccine responses. Together, these findings identify pre-existing antimicrobial antibody profiles as scalable biomarkers of humoral immune responsiveness and provide a framework for predicting vaccine responses before immunization.
Source: Cell Press Blue
Authors: Lusheng Song, Jin G. Park, Ji Qiu, Vel Murugan, Seyedmasoud Mousavi, Ching-Wen Hou, D. Mitchell Magee, Zhongxue Chen, Yunro Chung, Stacy Williams, Deborah Adam, Bihong Guo, Candyce McDaniel, Toria Trendler, Gabe Rice, Kelly Connard, Bradley Bobbett, Michael Ritchie, Izamar Garcia, Guillermo Sebastian Trivino Soto, Giovanna Caruth, Eleni Katergaris, Kristen Seifert, Veronica Boyle, Heewook Lee, Damodara Rao Mendu, Viviana Simon, Komal Srivastava, Bharat Thyagarajan, Mike Ryan, Elena Kowalsky, Patrick Breads, David Fetterer, Troy Kemp, Ann Khalsa, Lora Nordstrom, Michael D. White, Raquel Salgado, Chad M. VanDenBerg, Natacha Montalvo, Craig Woods, Rajat Walia, David Carpentieri, Peter Arden, Christine L. Kuryla, Anay Patel, Lauren Stiene, Imke Folkerts, Stefani N. Thomas, Anne Davidson, Thomas Hickey, Nancy Roche, Ligia Pinto, Norman Kleiman, Carlos Cordon-Cardo, Amy B. Karger, Peter Gregersen, Joshua LaBaer
Institutions: Arizona State University, Icahn School of Medicine at Mount Sinai, University of Minnesota, Northwell Health, Feinstein Institute for Medical Research, Frederick National Laboratory for Cancer Research, Valleywise Health, Midwestern University, St. Joseph's Hospital and Medical Center, Phoenix Children's Hospital, Columbia University, General Dynamics (United States)
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Awards: Multiplex In-Solution Protein Array (MISPA) for high throughput, quantitative, early profiling of pathogen-induced head and neck, Multiplexed In Solution Protein Array (MISPA) for identifying novel protein interactions in cancer and for early detection of immune responses in pathogen-induced cancers, G5587929192, G7077131309, Regulation of B cell Responses in SLE and Other Autoimmune Diseases, Dana-Farber/Harvard Cancer Center
OpenAlex ID: W7203830153