Felix E. Rivera-Mariani, Hayat Srour, Filipa Godoy-Vitorino, Benjamín Bolaños-Rosero, Lorraine N. Vélez-Torres, Juan P. Maestre, Kerry Kinney, Humberto Cavallin
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引用次数: 0
Abstract
Hurricane Maria left many homes in Puerto Rico with prolonged flooding, structural damage, and indoor microbial growth, conditions that can drive respiratory illness and immune dysregulation. To assess the pro-inflammatory potential of post-flooding indoor dust and track two-year shifts in household risk profiles by integrating pro-inflammatory biomarkers, fungal exposure, and self-reported structural damage, mental health, and respiratory outcomes. Dust samples were collected from 50 households in a San Juan community one year and again from 35 of those same households two years after the hurricane. Dust sample extracts (DSEs) were prepared and incubated with pooled peripheral blood from volunteers residing outside Puerto Rico. Pro-inflammatory cytokines interleukin-1β (IL-1β), IL-6, and IL-8 were quantified using ELISA; airborne fungal abundance was assessed on malt extract and G25N agars. Survey data captured self-reported respiratory and mental-health scores using the SF-12v2 Health Survey, structural water damage, and remediation efforts. Principal component analysis (PCA) and k-means clustering were applied to identify household clusters, while Sankey plots were used to visualize the transitions of household risk. IL-1β emerged as the most responsive cytokine, showing the greatest median reduction from Year 1 to Year 2 and across household water-damage categories. Three clusters emerged in Year 1, driven by structural damage, IL-1β, and fungal load. By Year 2, only two clusters remained, shaped more by self-reported respiratory and psychological distress than by structural damage. Sankey analysis revealed that some households transitioned into higher-risk profiles over time despite apparent household structural recovery.
期刊介绍:
Journal of Exposure Science and Environmental Epidemiology (JESEE) aims to be the premier and authoritative source of information on advances in exposure science for professionals in a wide range of environmental and public health disciplines.
JESEE publishes original peer-reviewed research presenting significant advances in exposure science and exposure analysis, including development and application of the latest technologies for measuring exposures, and innovative computational approaches for translating novel data streams to characterize and predict exposures. The types of papers published in the research section of JESEE are original research articles, translation studies, and correspondence. Reported results should further understanding of the relationship between environmental exposure and human health, describe evaluated novel exposure science tools, or demonstrate potential of exposure science to enable decisions and actions that promote and protect human health.