title: Indoor microbial communities: Influence on asthma severity in atopic and nonatopic children.
abstract: Allergic and nonallergic asthma severity in children can be affected by microbial exposures.
  
  
  
  We sought to examine associations between exposures to household microbes and childhood asthma severity stratified by atopic status.
  
  
  
  Participants (n = 196) were selected from a cohort of asthmatic children in Connecticut and Massachusetts. Children were grouped according to asthma severity (mild with no or minimal symptoms and medication or moderate to severe persistent) and atopic status (determined by serum IgE levels). Microbial community structure and concentrations in house dust were determined by using next-generation DNA sequencing and quantitative PCR. Logistic regression was used to explore associations between asthma severity and exposure metrics, including richness, taxa identification and quantification, community composition, and concentration of total fungi and bacteria.
  
  
  
  Among all children, increased asthma severity was significantly associated with an increased concentration of summed allergenic fungal species, high total fungal concentrations, and high bacterial richness by using logistic regression in addition to microbial community composition by using the distance comparison t test. Asthma severity in atopic children was associated with fungal community composition (P = .001). By using logistic regression, asthma severity in nonatopic children was associated with total fungal concentration (odds ratio, 2.40; 95% CI, 1.06-5.44). The fungal genus Volutella was associated with increased asthma severity in atopic children (P = .0001, q = 0.04). The yeast genera Kondoa might be protective; Cryptococcus species might also affect asthma severity.
  
  
  
  Asthma severity among this cohort of children was associated with microbial exposure, and associations differed based on atopic status.
authors: Department of Chemical and Environmental Engineering, Yale University, New Haven, Conn.
authors: Karen C
authors: KC
authors: Dannemiller
authors: Yale Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, Conn.
authors: Janneane F
authors: JF
authors: Gent
authors: Yale Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, Conn.
authors: Brian P
authors: BP
authors: Leaderer
authors: Department of Chemical and Environmental Engineering, Yale University, New Haven, Conn. Electronic address: Jordan.Peccia@Yale.edu.
authors: Jordan
authors: J
authors: Peccia
mesh_terms: D000293:Adolescent; D000391:Air Microbiology; D016902:Air Pollution, Indoor / Q000009:adverse effects*; D000485:Allergens / Q000276:immunology; D001249:Asthma / Q000175:diagnosis / Q000188:drug therapy / Q000209:etiology; D002648:Child; D005260:Female; D006801:Humans; D006967:Hypersensitivity / Q000175:diagnosis / Q000188:drug therapy / Q000209:etiology; D007073:Immunoglobulin E / Q000276:immunology; D008297:Male; D054892:Metagenome; D056186:Metagenomics / Q000379:methods; D064307:Microbiota; D016017:Odds Ratio; D012307:Risk Factors; D012720:Severity of Illness Index; D055815:Young Adult
chemical_list: D000485:Allergens; D007073:Immunoglobulin E
keywords: Allergy; DNA sequencing; asthma severity; atopy; bacteria; children; fungi; indoor environment; microbial communities; nonallergic asthma