RESUMO
Cranial irradiation causes cognitive deficits that are in part mediated by microglia, the resident immune cells of the brain. Microglia are highly reactive, exhibiting changes in shape and morphology depending on the function they are performing. Additionally, microglia processes make dynamic, physical contacts with different components of their environment to monitor the functional state of the brain and promote plasticity. Though evidence suggests radiation perturbs homeostatic microglia functions, it is unknown how cranial irradiation impacts the dynamic behavior of microglia over time. Here, we paired in vivo two-photon microscopy with a transgenic mouse model that labels cortical microglia to follow these cells and determine how they change over time in cranial irradiated mice and their control littermates. We show that a single dose of 10 Gy cranial irradiation disrupts homeostatic cortical microglia dynamics during a 1-month time course. We found a lasting loss of microglial cells following cranial irradiation, coupled with a modest dysregulation of microglial soma displacement at earlier timepoints. The homogeneous distribution of microglia was maintained, suggesting microglia rearrange themselves to account for cell loss and maintain territorial organization following cranial irradiation. Furthermore, we found cranial irradiation reduced microglia coverage of the parenchyma and their surveillance capacity, without overtly changing morphology. Our results demonstrate that a single dose of radiation can induce changes in microglial behavior and function that could influence neurological health. These results set the foundation for future work examining how cranial irradiation impacts complex cellular dynamics in the brain which could contribute to the manifestation of cognitive deficits.
Assuntos
Encéfalo , Microglia , Camundongos , Animais , Microglia/efeitos da radiação , Camundongos Transgênicos , Modelos Animais de Doenças , Irradiação Craniana/efeitos adversosRESUMO
Inflammation is a key factor in both influenza and radiation-induced lung pathophysiology. This implies a commonality of response to pulmonary damage from these insults and suggests exacerbated pathology may occur after combined exposure. We therefore tested the hypothesis that past inflammation from viral infection alters the lung microenvironment and lowers tolerance for radiation injury. Mice were inoculated with influenza A virus (IAV) and three weeks later, after virus clearance, mice received total-body irradiation (TBI). Survival as well as systemic and local lung inflammation were assessed, and strategies to mitigate pulmonary injury were investigated. After IAV infection alone, body condition recovered within 3 weeks, however inflammatory pathways remained active for 15 weeks. IAV infection exacerbated subsequent TBI responses, evident by increased lethality, enhanced histologically evident lung injury and an altered lung macrophage phenotype. To mitigate this enhanced sensitivity, captopril [an angiotensin converting enzyme inhibitor (ACEi)] was administered to limit tissue inflammation, or inflammatory monocyte-derived macrophage recruitment was blocked with a C-C chemokine receptor type 2 (CCR2) inhibitor. Both treatments abrogated the changes in circulating immune cells observed 4 weeks after TBI, and attenuated pro-inflammatory phenotypes in lung alveolar macrophages, appearing to shift immune cell dynamics towards recovery. Histologically apparent lung injury was not improved by either treatment. We show that latent lung injury from viral infection exacerbates radiation morbidity and mortality. Although strategies that attenuate proinflammatory immune cell phenotypes can normalize macrophage dynamics, this does not fully mitigate lung injury. Recognizing that past viral infections can enhance lung radiosensitivity is of critical importance for patients receiving TBI, as it could increase the incidence of adverse outcomes.
RESUMO
BACKGROUND: Influenza healthcare encounters in adults associated with specific sources of PM2.5 is an area of active research. OBJECTIVE: Following 2017 legislation requiring reductions in emissions from light-duty vehicles, we hypothesized a reduced rate of influenza healthcare encounters would be associated with concentrations of PM2.5 from traffic sources in the early implementation period of this regulation (2017-2019). METHODS: We used the Statewide Planning and Research Cooperative System (SPARCS) to study adult patients hospitalized (N = 5328) or treated in the emergency department (N = 18,247) for influenza in New York State. Using a modified case-crossover design, we estimated the excess rate (ER) of influenza hospitalizations and emergency department visits associated with interquartile range increases in source-specific PM2.5 concentrations (e.g., spark-ignition emissions [GAS], biomass burning [BB], diesel [DIE]) in lag day(s) 0, 0-3 and 0-6. We then evaluated whether ERs differed after Tier 3 implementation (2017-2019) compared to the period prior to implementation (2014-2016). RESULTS: Each interquartile range increase in DIE in lag days 0-6 was associated with a 21.3% increased rate of influenza hospitalization (95% CI: 6.9, 37.6) in the 2014-2016 period, and a 6.3% decreased rate (95% CI: -12.7, 0.5) in the 2017-2019 period. The GAS/influenza excess rates were larger in the 2017-2019 period than the 2014-2016 period for emergency department visits. We also observed a larger ER associated with increased BB in the 2017-2019 period compared to the 2014-2016 period. IMPACT STATEMENT: We present an accountability study on the impact of the early implementation period of the Tier 3 vehicle emission standards on the association between specific sources of PM2.5 air pollution on influenza healthcare encounters in New York State. We found that the association between gasoline emissions and influenza healthcare encounters did not lessen in magnitude between periods, possibly because the emissions standards were not yet fully implemented. The reduction in the rates of influenza healthcare encounters associated with diesel emissions may be reflective of past policies to reduce the toxicity of diesel emissions. Accountability studies can help policy makers and environmental scientists better understand the timing of pollution changes and associated health effects.