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Massachusetts Institute of Technology

Deciphering Features of Protective or Maladaptive Cellular Immunity in the Airways Following Primary and Repeated Pathogen Exposure

Abstract

dc:description.abstract

The human respiratory tract is constantly subject to environmental stressors and perturbations that cause deviations from homeostatic conditions. The airway’s cellular constituents – epithelial, stromal, and immune cells – maintain local and global homeostasis by facilitating gas exchange and providing a barrier against noxious environmental agents (e.g., xenobiotics, allergens, toxins, and microbes). Infection with viral, microbial, and eukaryotic pathogens can disrupt airway homeostasis, leading to local and systemic inflammation, which can either contribute to the clearance or persistence of the pathogen. Prior antigenic exposure - prophylactically or from a previous infection - can promote transient and long-lived changes in cellular epigenetics, gene expression networks, and cell type composition that may contribute to protective (or maladaptive) immunity; however, we lack a complete understanding of the pathogen and cellular determinants that modulate immunity upon reinfection. In this thesis, we employed single-cell RNA-seq (scRNA-seq), computational methods, and microbial assays to discover the host and pathogen determinants governing airway homeostasis during primary infection and reinfection at barrier sites where the infection begins and may persist: the nasopharynx, airways, and lung parenchyma. First, we leveraged scRNA-seq to identify the cellular and molecular features of mild, moderate, and severe COVID-19, revealing that persons with severe COVID-19 have blunted anti-viral immunity in the nasopharynx. We further extended these findings by profiling nasopharyngeal swabs from vaccinated and unvaccinated individuals across three waves of SARS-CoV-2 variants, revealing shifts in viral tropism and that intramuscular COVID-19 vaccines promote the recruitment of putative antigen presenting macrophages to the nasal mucosa. Next, we used rhesus macaques to interrogate temporal host-pathogen interactions during SARS-CoV-2 infection and reinfection in the lower respiratory tract. This work identified innate training-like gene programs among myeloid populations that provided enhanced protection against SARS-CoV-2 reinfection. Finally, we used cynomolgus macaques as a model to study Mtb infection and reinfection, demonstrating that CD4+ T cells are required to restrict bacterial growth and induce protective immunomodulatory gene programming and cell-cell interaction networks in pulmonary granulomas formed following Mtb reinfection. These findings extend beyond long-held paradigms of protective TB immunity, revealing that CD4+ T cells regulate pro- and anti-inflammatory granuloma equilibria. Collectively, the work presented in this thesis highlights the utility of single-cell genomics for studying respiratory infection- and immuno-biology and provides a framework for contextualizing pathogen-induced deviations from biological homeostasis in the airways, which has implications for the development of prophylactics and therapeutics.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Biology
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bromley, Joshua David
Advisor dc:contributor.advisor
  • Shalek, Alex K.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/163530
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/163530

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Bromley, Joshua David. Deciphering Features of Protective or Maladaptive Cellular Immunity in the Airways Following Primary and Repeated Pathogen Exposure. Massachusetts Institute of Technology, 2025. https://hdl.handle.net/1721.1/163530