This study is called the Microbes and Respiratory Illnesses (MARI) Study. Children growing up on farms are exposed to many types of microbes that could be beneficial. It is thought that increased exposure to certain types of microbes early in life helps to develop a healthy immune system and reduce the risk for severe common cold illnesses, breathing problems, and allergies.
Respiratory viruses, most notably rhinoviruses (RV), commonly infect school-age children during the month of September and are a well-known exposure for asthma exacerbations. Allergic sensitization is a risk factor for increased viral respiratory illness burden and wheezing. Nasal Airway Epithelial Cell (NAEC) responses to viral exposure show distinct transcriptional programs that differ in individuals with allergies or asthma. There is a growing body of evidence strongly suggesting nasal airway microbial communities enriched in several commensal bacteria are associated with protection from symptomatic RV infections. Metagenomic sequencing from previously collected nasal samples obtained at age 2 years showed distinct microbial communities and function in the Traditional agrarian (TA) Community Cohort compared to farm and non-farm children. How the early life nasal microbial community can impact risk for viral respiratory infection symptoms and NAEC biology remains an important and unresolved question. To address this important question, this proposal includes an observational study to identify patterns of nasal airway gene expression among three cohorts of school-age children that markedly differ in their susceptibility to respiratory illnesses and wheezing: children from TA/Amish communities, suburban children without asthma, and suburban children with asthma.
Study Type
OBSERVATIONAL
Enrollment
290
University of Wisconsin School of Medicine and Public Health
Madison, Wisconsin, United States
Respiratory Illness Burden Index (RIBI)
The primary outcome for illness severity will be the Respiratory Illness Burden Index (RIBI), which is calculated as the area under the curve (AUC) for symptom scores and days of illness, as previously described. It is calculated by summing the WURSS (cold symptoms assessment) scores for each day of respiratory illness during the observation period.
Time frame: 30 days
Frequency of respiratory illnesses during the monitoring period
Frequency of respiratory illnesses during the monitoring period. Respiratory illnesses are defined as parental perception of respiratory illness symptoms (cold, cough or wheeze) above baseline symptoms.
Time frame: 30 days
Virus detection rates in weekly surveillance samples
Virus detection rates in weekly surveillance samples. This will be defined as the detection of a respiratory virus in the weekly nasal mucus specimens.
Time frame: 30 days
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.