Ruth R Montgomery, PhD
Professor of Medicine and Professor of Epidemiology (Microbial Diseases)Cards
Additional Titles
Associate Dean for Scientific Affairs, Dept Clinical: Internal Medicine
Administrative Support
Publications Overview
- 167 Publications
- 14,438 Citations
- 129 Yale Co-Authors
Additional Titles
Associate Dean for Scientific Affairs, Dept Clinical: Internal Medicine
Administrative Support
Publications Overview
- 167 Publications
- 14,438 Citations
- 129 Yale Co-Authors
Additional Titles
Associate Dean for Scientific Affairs, Dept Clinical: Internal Medicine
Administrative Support
Publications Overview
- 167 Publications
- 14,438 Citations
- 129 Yale Co-Authors
About
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Titles
Professor of Medicine and Professor of Epidemiology (Microbial Diseases)
Associate Dean for Scientific Affairs, Dept Clinical: Internal Medicine
Biography
Ruth R. Montgomery is a cellular immunologist with particular expertise in use of novel technology for human translational studies. Her research employs systems wide studies to identify individual differences in immune responses that lead to divergent outcomes to infection. Her group focuses on effects of aging on innate immunity and individual variation influencing susceptibility to West Nile, dengue, Zika and COVID-19 viruses, and inflammatory profiling of patients with sickle cell disease. She has overseen studies of immune responsiveness in human cohorts with successful enrollment of >2000 healthy individuals. Dr. Montgomery’s work is notable for her use of primary human cells to demonstrate immune related mechanisms and illuminate potential avenues for therapeutic interventions. She launched the CyTOF facility at Yale in 2013, was co-chair of the University Provost’s ITS Advisory Committee (ITSAC), and serves as Associate Dean for Scientific Affairs.
Appointments
Office of the Dean, School of Medicine
Associate DeanDualRheumatology
ProfessorPrimaryEpidemiology of Microbial Diseases
ProfessorSecondaryPathology
ProfessorSecondary
Other Departments & Organizations
- Cancer Immunology
- Epidemiology of Microbial Diseases
- Human and Translational Immunology Program
- Internal Medicine
- Mobile @ Yale
- Molecular Medicine, Pharmacology, and Physiology
- Office of the Dean, School of Medicine
- Pathology
- Pathology and Molecular Medicine
- Pathology Research
- Program in Translational Biomedicine (PTB)
- Rheumatic Diseases Research Core
- Rheumatology
- Rheumatology, Allergy, & Immunology
- Yale Center for Research on Aging (Y-Age)
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
- Yale Institute for Global Health
- Yale School of Public Health
- Yale-BI Biomedical Data Science Fellowship
Education & Training
- Postdoctoral Fellow
- Yale University (1991)
- PhD
- Rockefeller University (1987)
- BA
- University of Pennsylvania, Biology (1981)
Research
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Overview
Immune profiling; Single cell mass cytometry
Medical Research Interests
Public Health Interests
ORCID
0000-0002-8661-4454
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Erol Fikrig, MD
Albert C Shaw, MD, PhD
Steven Kleinstein, PhD
David A. Hafler, MD, FANA, MSc
Xiaomei Wang
Akiko Iwasaki, PhD
West Nile virus
Aging
Immunity, Innate
Macrophages
COVID-19
Neutrophils
Publications
2026
Half a century of pneumococcal vaccination in sickle cell disease: Are we winning the battle or losing immunity?
Jamwal S, Omene B, Giri A, Rojas K, Mohanty S, Calhoun C, Krishnamurti L, Montgomery R, Shaw A, Andemariam B, Yildirim I. Half a century of pneumococcal vaccination in sickle cell disease: Are we winning the battle or losing immunity? Vaccine 2026, 88: 128866. PMID: 42322679, DOI: 10.1016/j.vaccine.2026.128866.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsAdaptive Immune Remodeling in Sickle Cell Disease: Linking Hemolysis-Driven Inflammation to Immune Dysfunction
Jamwal S, Mohanty S, Calhoun C, Krishnamurti L, Montgomery R, Shaw A, Yildirim I. Adaptive Immune Remodeling in Sickle Cell Disease: Linking Hemolysis-Driven Inflammation to Immune Dysfunction. Experimental Hematology 2026, 160: 105459. PMID: 42219144, DOI: 10.1016/j.exphem.2026.105459.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsEmpiric azithromycin alters the upper respiratory microbiome and resistome without anti-inflammatory benefit in COVID-19
Glascock A, Maguire C, Phan H, Lydon E, Schaenman J, Calfee C, Melamed E, Greenland J, Corry D, Kheradmand F, Baden L, Sekaly R, McComsey G, Haddad E, Cairns C, Geng L, Pulendran B, Fernandez-Sesma A, Simon V, Metcalf J, Agudelo Higuita N, Messer W, Davis M, Nadeau K, Kraft M, Bime C, Erle D, Atkinson M, Brakenridge S, Ehrlich L, Montgomery R, Shaw A, Hough C, Hafler D, Augustine A, Becker P, Peters B, Ozonoff A, Hoch A, Kim-Schulze S, Krammer F, Bosinger S, Eckalbar W, Altman M, Wilson M, Guan L, Maecker H, Steen H, Diray-Arce J, Rouphael N, Kleinstein S, Jayavelu N, Reed E, Levy O, Chu V, Langelier C. Empiric azithromycin alters the upper respiratory microbiome and resistome without anti-inflammatory benefit in COVID-19. Nature Microbiology 2026, 11: 1100-1112. PMID: 41840216, PMCID: PMC13056551, DOI: 10.1038/s41564-026-02285-8.Peer-Reviewed Original ResearchCitationsAltmetricAuthor Correction: Machine learning models predict long COVID outcomes based on baseline clinical and immunologic factors
Doni Jayavelu N, Samaha H, Wimalasena S, Hoch A, Gygi J, Gabernet G, Ozonoff A, Liu S, Milliren C, Levy O, Baden L, Melamed E, Ehrlich L, McComsey G, Sekaly R, Cairns C, Haddad E, Schaenman J, Shaw A, Hafler D, Montgomery R, Corry D, Kheradmand F, Atkinson M, Brakenridge S, Agudelo Higuit N, Metcalf J, Hough C, Messer W, Pulendran B, Nadeau K, Davis M, Geng L, Fernandez Sesma A, Simon V, Krammer F, Kraft M, Bime C, Calfee C, Erle D, Langelier C, Guan L, Maecker H, Peters B, Kleinstein S, Reed E, Augustine A, Diray-Arce J, Becker P, Rouphael N, Altman M. Author Correction: Machine learning models predict long COVID outcomes based on baseline clinical and immunologic factors. Communications Medicine 2026, 6: 125. PMID: 41730996, PMCID: PMC12929789, DOI: 10.1038/s43856-026-01425-9.Commentaries, Editorials and LettersMachine learning models predict long COVID outcomes based on baseline clinical and immunologic factors
Doni Jayavelu N, Samaha H, Wimalasena S, Hoch A, Gygi J, Gabernet G, Ozonoff A, Liu S, Milliren C, Levy O, Baden L, Melamed E, Ehrlich L, McComsey G, Sekaly R, Cairns C, Haddad E, Schaenman J, Shaw A, Hafler D, Montgomery R, Corry D, Kheradmand F, Atkinson M, Brakenridge S, Agudelo Higuit N, Metcalf J, Hough C, Messer W, Pulendran B, Nadeau K, Davis M, Geng L, Fernandez Sesma A, Simon V, Krammer F, Kraft M, Bime C, Calfee C, Erle D, Langelier C, Guan L, Maecker H, Peters B, Kleinstein S, Reed E, Augustine A, Diray-Arce J, Becker P, Rouphael N, Altman M. Machine learning models predict long COVID outcomes based on baseline clinical and immunologic factors. Communications Medicine 2026, 6: 1. PMID: 41484172, PMCID: PMC12764860, DOI: 10.1038/s43856-025-01230-w.Peer-Reviewed Original ResearchCitationsAltmetric
2025
MTHFR allele and one-carbon metabolic profile predict severity of COVID-19
Petrova B, Syphurs C, Culhane A, Chen J, Chen E, Cotsapas C, Esserman D, Montgomery R, Kleinstein S, Smolen K, Mendez K, Network I, Lasky-Su J, Steen H, Levy O, Diray-Arce J, Kanarek N. MTHFR allele and one-carbon metabolic profile predict severity of COVID-19. Proceedings Of The National Academy Of Sciences Of The United States Of America 2025, 122: e2509118122. PMID: 41410771, PMCID: PMC12745694, DOI: 10.1073/pnas.2509118122.Peer-Reviewed Original ResearchCitationsAltmetricUnravelling the Immunological Enigma of Sickle Cell Disease: Current Understanding and Future Directions
Jamwal S, Calhoun C, Mohanty S, Montgomery R, Krishnamurti L, Shaw A, Yildirim I. Unravelling the Immunological Enigma of Sickle Cell Disease: Current Understanding and Future Directions. Immunology 2025, 177: 445-456. PMID: 41387179, PMCID: PMC12826409, DOI: 10.1111/imm.70080.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsCitationsMinimalistic transcriptomic signatures permit accurate early prediction of COVID-19 mortality
Narendra R, Lydon E, Van Phan H, Spottiswoode N, Neyton L, Diray-Arce J, Network I, Consortium C, Consortium E, Becker P, Kim-Schulze S, Hoch A, Pickering H, van Zalm P, Cairns C, Altman M, Augustine A, Bosinger S, Eckalbar W, Guan L, Jayavelu N, Kleinstein S, Krammer F, Maecker H, Ozonoff A, Peters B, Rouphael N, Montgomery R, Reed E, Schaenman J, Steen H, Levy O, Haller S, Erle D, Hendrickson C, Krummel M, Matthay M, Woodruff P, Haddad E, Calfee C, Langelier C. Minimalistic transcriptomic signatures permit accurate early prediction of COVID-19 mortality. JCI Insight 2025, 10: e195436. PMID: 41212055, PMCID: PMC12643502, DOI: 10.1172/jci.insight.195436.Peer-Reviewed Original ResearchCitationsAltmetricEvaluating COVID-19 severity prediction and immune dynamics with NULISAseq: Insights from the IMPACC study
Abe K, Holmes T, Nguyen T, Abe K, Holmes T, Nguyen T, Kim-Schulze S, Levy O, Baden L, Melamed E, Ehrlich L, McComsey G, Sekaly R, Cairns C, Haddad E, Shaw A, Hafler D, Montgomery R, Corry D, Kheradmand F, Atkinson M, Brakenridge S, Higuita N, Metcalf J, Hough C, Messer W, Pulendran B, Nadeau K, Davis M, Fernandez-Sesma A, Simon V, Kraft M, Bime C, Calfee C, Erle D, Schaenman J, Reed E, Ozonoff A, Peters B, Kleinstein S, Augustine A, Diray-Arce J, Becker P, Rouphael N, Maecker H, Kim-Schulze S, Levy O, Baden L, Melamed E, Ehrlich L, McComsey G, Sekaly R, Cairns C, Haddad E, Shaw A, Hafler D, Montgomery R, Corry D, Kheradmand F, Atkinson M, Brakenridge S, Higuita N, Metcalf J, Hough C, Messer W, Pulendran B, Nadeau K, Davis M, Fernandez-Sesma A, Simon V, Kraft M, Bime C, Calfee C, Erle D, Schaenman J, Reed E, Ozonoff A, Peters B, Kleinstein S, Augustine A, Diray-Arce J, Becker P, Rouphael N, Maecker H. Evaluating COVID-19 severity prediction and immune dynamics with NULISAseq: Insights from the IMPACC study. The Journal Of Immunology 2025, 214: 3310-3320. PMID: 41166719, PMCID: PMC12726064, DOI: 10.1093/jimmun/vkaf263.Peer-Reviewed Original ResearchCirculating endothelial signatures correlate with worse outcomes in COVID-19, respiratory failure and ARDS
Costa Monteiro A, Pickering H, Sarma A, Taylor C, Jenkins M, Hsu F, Nadel B, Levy O, Baden L, Melamed E, Ehrlich L, McComsey G, Sekaly R, Cairns C, Haddad E, Shaw A, Hafler D, Montgomery R, Corry D, Kheradmand F, Atkinson M, Brakenridge S, Higuita N, Metcalf J, Hough C, Messer W, Pulendran B, Nadeau K, Davis M, Geng L, Fernandez-Sesma A, Simon V, Krammer F, Kraft M, Bime C, Calfee C, Erle D, Bosinger S, Eckalbar W, Maecker H, Rahman A, Guan L, Peters B, Kleinstein S, Augustine A, Diray-Arce J, Becker P, Rouphael N, Agus M, Kulkarni H, Schaenmann J, Salehi-Rad R, Matthay M, Reed E, Sapru A. Circulating endothelial signatures correlate with worse outcomes in COVID-19, respiratory failure and ARDS. Critical Care 2025, 29: 432. PMID: 41088445, PMCID: PMC12522733, DOI: 10.1186/s13054-025-05596-0.Peer-Reviewed Original ResearchCitationsAltmetric
Clinical Trials
Current Trials
Impact of HIV Infection on Immunologic, Transcriptomic, and Metabolomic Signatures
IRB ID1608018239RoleSub InvestigatorPrimary Completion Date09/01/2021Recruiting ParticipantsGenderBothAge18+ years
Academic Achievements & Community Involvement
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Activities
activity Immunity & Ageing
02/01/2019 - PresentJournal ServiceAssociate EditorDetailsBoard memberactivity Coalition for Epidemic Preparedness Innovations (CEPI)
02/15/2019 - PresentProfessional OrganizationsCommittee MemberDetailsSystems Immunology Task Forceactivity Phenomics
11/01/2020 - PresentJournal ServiceEditorial Board Memberactivity CIVICs NIAID Collaborative Influenza Vaccine Innovation Centers (CIVICs) Program
08/01/2020 - 01/01/2025Advisory BoardsExpert Panel MemberDetailsCIVICs NIAID Collaborative Influenza Vaccine Innovation Centers (CIVICs) Programactivity Society of Leukocyte Biology
2018 - 2021Professional OrganizationsCouncil MemberDetailsCouncil Member
Honors
honor Fellow
03/27/2025National AwardAAAS American Association for the Advancement of ScienceDetailsUnited Stateshonor Member
07/01/2020Regional AwardConnecticut Academy of Science and EngineeringDetailsUnited States
News & Links
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Media
- An in-depth single cell analysis identifies multiple distinct subtypes of airway immune cells and provides insights of cellular function relevant for pathogenesis of asthma. J Leuk Biol. 2020;108:1555-64.
- 360 cell type/functional marker combinations were rank-ordered by P value comparing virus-induced changes with dengue (top panel) or Zika (bottom panel). Enrichment scores for innate cell types showed striking differences between naive and recall responses. PLoS Negl Trop Dis. 2020;14:e0008112.
- Increase in diversity of NK cell receptors following infection with virus. Sci Trans Med 7:297ra115. PMCID:PMC4547537
- Ixodes tick, vector of Lyme disease
News
- June 11, 2026
Scientists Develop First Comprehensive Atlas of Human Cellular Senescence in Aging
- March 27, 2025Source: Yale News
Eight Yale Faculty Members Named AAAS Fellows
- November 20, 2024
How Does Aging Affect Innate Immunity?
- May 01, 2024
COVID-19: New ‘Omics’ Models Show Why Some People Are at Greater Risk of Severe Disease, Death
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Rheumatology
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New Haven, CT 06520
United States
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