The investigators will study the biologic and chemical differences that cause the greater incidence, and severity of asthma in women as compared to men. Severe asthma affects boys more than girls, while severe asthma in adults is predominantly a disease of women. The investigators aim to identify the processes that occur in the body that are behind the onset of severe asthma in young women during the teenage years, and the resolution of severe asthma in boys. To further evaluate gender influences on asthma, asthmatic women at different stages of their menstrual cycle (period) will be also studied. The investigators aim to use biomarkers to develop testing procedures that will identify different types or characteristics of asthma in men and women; and to follow patients over time to uncover relevant clinical outcomes of biomarkers. The investigators anticipate that they will 1) develop clinically relevant tests to identify unique types or characteristics of asthma and severe asthma; 2) determine outcomes over time of biochemically-defined types of asthma; and 3) identify the reasons for why adult women are affected more than men with severe asthma.
This scientific site-specific project is part of a larger network of asthma studies, the Severe Asthma Research Program (SARP). The mission of SARP is to improve the understanding of severe asthma to develop better treatments.
Study Type
OBSERVATIONAL
Enrollment
300
Rainbow Babies and Children's Hospital
Cleveland, Ohio, United States
Cleveland Clinic
Cleveland, Ohio, United States
University of Virginia
Charlottesville, Virginia, United States
Virginia Commonwealth University
Richmond, Virginia, United States
Identify metabolic mechanism(s) and age dependent change in the epidemiology of asthma
To determine if asthma severity is worsened in females with changes in estradiol that occur during puberty as measured by asthma control tests and lung functions
Time frame: 5 years
Development of clinical testing procedures to assign metabolic asthma phenotypes
To determine if urine and blood and exhaled metabolic biomarkers can predict asthma phenotypes and severity as measured by lung functions and asthma control tests
Time frame: 5 years
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