Farm Environment During Pregnancy and Childhood and Polysensitization at the Age of 31: Prospective Birth Cohort Study in Finland.

BACKGROUND AND OBJECTIVE: The farm environment, especially contact with farm animals in early childhood, may prevent allergic sensitization during adulthood. However, prospective associations between exposure to the farm environment and polysensitization have not been studied. Polysensitization is a risk factor for asthma and asthma-related morbidity. Objective: To investigate whether exposure to a farming environment in early childhood, especially exposure to animals, is associated with sensitization to specific allergens and polysensitization at the age of 31. METHODS: In a prospective birth cohort study, 5509 individuals born in northern Finland in 1966 underwent skin prick testing against birch, timothy, cat, and house dust mite at the age of 31. Prenatal exposure to the farming environment was documented at birth, whereas information on childhood exposure to pets was only collected retrospectively at the age of 31. Data were analyzed using logistic regression. RESULTS: Being born to a family with farm animals was associated with a reduced risk of sensitization to birch, timothy, and cat (adjusted odds ratio [aOR], 0.55 [95%CI, 0.43-0.70]; aOR, 0.62 [95%CI, 0.48-0.79]; aOR, 0.60 [95%CI, 0.47-0.75]) and polysensitization at the age of 31 (aOR, 0.62 [95%CI, 0.48-0.80]). The number of animal species present during childhood was dose-dependently associated with a reduced risk of sensitization to birch, timothy, and cat, as well as of polysensitization. No association was found with sensitization to house dust mite. CONCLUSIONS: Growing up on a farm and contact with higher numbers of animal species in childhood are associated with less frequent sensitization to birch, timothy, and cat allergens and polysensitization in adulthood, but not with sensitization to house dust mite.

Analyzing symptom data in indoor air questionnaires for primary schools.

Questionnaires on symptoms and perceived quality of indoor environment are used to assess indoor environment problems, but mainly among adults. The aim of this article was to explore best ways to analyze and report such symptom data, as part of a project to develop a parent-administered indoor air questionnaire for primary school pupils. Indoor air questionnaire with 25 questions on child's symptoms in the last 4 weeks was sent to parents in five primary schools with indoor air problems and in five control schools. About 83% of parents (N=1470) in case schools and 82% (N=805) in control schools returned the questionnaire. In two schools, 351 (52%) parents answered the questionnaire twice with a 2-week interval. Based on prevalence of symptoms, their test-retest repeatability (ICC), and on principal component analysis (PCA), the number of symptoms was reduced to 17 and six symptoms scores were developed. Six variants of these six symptom scores were then formed and their ability to rank schools compared. Four symptom scores (respiratory, lower respiratory, eye, and general symptoms) analyzed dichotomized maintained sufficiently well the diversity of symptom data and captured the between-school differences in symptom prevalence, when compared to more complex and numerous scores.

Quantity and diversity of environmental microbial exposure and development of asthma: a birth cohort study.

BACKGROUND: Early-life exposure to environmental microbial agents may be associated with the development of allergies. The aim of the study was to identify better ways to characterize microbial exposure as a predictor of respiratory symptoms and allergies. METHODS: A birth cohort of 410 children was followed up until 6 years of age. Bacterial endotoxin, 3-hydroxy fatty acids, N-acetyl-muramic acid, fungal extracellular polysaccharides (EPS) from Penicillium and Aspergillus spp., ß-D-glucan, ergosterol, and bacterial or fungal quantitative polymerase chain reactions (qPCRs) were analyzed from dust samples collected at 2 months of age. Asthma, wheezing, cough, and atopic dermatitis were assessed using repeated questionnaires. Specific IgEs were determined at the age of 1 and 6 years. RESULTS: Only few associations were found between single microbial markers and the studied outcomes. In contrast, a score for the total quantity of microbial exposure, that is, sum of indicators for fungi (ergosterol), Gram-positive (muramic acid) bacteria, and Gram-negative (endotoxin) bacteria, was significantly (inverted-U shape) associated with asthma incidence (P < 0.001): the highest risk was found at medium levels (adjusted odds ratio (aOR) 2.24, 95% confidence interval (95% CI) 0.87-5.75 for 3rd quintile) and the lowest risk at the highest level (aOR 0.34, 95% CI 0.09-1.36 for 5th quintile). The microbial diversity score, that is, sum of detected qPCRs, was inversely associated with risk of wheezing and was significantly (inverted-U shape) associated with sensitization to inhalant allergens. CONCLUSION: Score for quantity of microbial exposure predicted asthma better than single microbial markers independently of microbial diversity and amount of dust. Better indicators of total quantity and diversity of microbial exposure are needed in studies on the development of asthma.

Farming environment and prevalence of atopy at age 31: prospective birth cohort study in Finland.

BACKGROUND: Cross-sectional studies have shown an association between the farming environment and a decreased risk of atopic sensitization, mainly related to contact with farm animals in the childhood. OBJECTIVE: Investigate the association of a farming environment, especially farm animal contact, during infancy, with atopic sensitization and allergic diseases at the age of 31. METHODS: In a prospective birth cohort study, 5509 subjects born in northern Finland in 1966 were followed up at the age of 31. Prenatal exposure to the farming environment was documented before or at birth. At age 31, information on health status and childhood exposure to pets was collected by a questionnaire and skin prick tests were performed. RESULTS: Being born to a family having farm animals decreased the risk of atopic sensitization [odds ratio (OR) 0.67; 95% confidence interval (CI) 0.56-0.80], atopic eczema ever (OR 0.77; 95% CI 0.66-0.91), doctor-diagnosed asthma ever (OR 0.74; 95% CI 0.55-1.00), allergic rhinitis at age 31 (OR 0.87; 95% CI 0.73-1.03) and allergic conjunctivitis (OR 0.86; 95% CI 0.72-1.02) at age 31. There was a suggestion that the reduced risk of allergic sensitization was particularly evident among the subjects whose mothers worked with farm animals during pregnancy, and that the reduced risk of the above diseases by farm animal exposure was largely explained by the reduced risk of atopy. Having cats and dogs in childhood revealed similar associations as farm animals with atopic sensitization. CONCLUSION AND CLINICAL RELEVANCE: Contact with farm animals in early childhood reduces the risk of atopic sensitization, doctor-diagnosed asthma and allergic diseases at age 31.

Genetic and biochemical characterization of an Escherichia coli K-12 mutant deficient in acyl-coenzyme A thioesterase II.

Mutants of Escherichia coli deficient in thioesterase II activity were isolated by taking advantage of the fact that thioesterase I specifically hydrolyzes long-chain (C12 to C18) acyl coenzyme A (CoA) esters but is unable to cleave the short-chain substrate decanoyl-CoA. One of these lesions (designated tesB1) reduces thioesterase II activity to about 10% of the normal level. The mutant enzyme activity was abnormally labile to temperature, but it was normal in all the other characteristics examined (pH optimum, Km for decanoyl-CoA, molecular weight). The level of thioesterase I activity was unaffected by the tesB1 lesion. The tesB locus was mapped with a closely linked Tn10 insertion. tesB was mapped to minute 10 of the E. coli linkage map, close to the lon locus. The clockwise gene order is lon tesB acrA dnaZ. The tesB mutation is recessive. We found no phenotype for the mutation. The fatty acid compositions of the phospholipids, lipid A, and lipoprotein components are normal in thioesterase II mutants. These data show that thioesterases I and II of E. coli are encoded by different genetic loci and strongly suggest that tesB is the structural gene for thioesterase II.