Channing Laboratory, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA.
Environ Health Perspect. 2011 Feb;119(2):189-95. doi: 10.1289/ehp.1002004. Epub 2010 Oct 21.
Measurement of fungal and bacterial biomarkers can be costly, but it is not clear whether home characteristics can be used as a proxy of these markers, particularly if the purpose is to differentiate specific classes of biologic exposures that have similar sources but may have different effects on allergic disease risk.
We evaluated home characteristics as predictors of multiple microbial biomarkers, with a focus on common and unique determinants and with attention to the extent of their explanatory ability.
In 376 Boston-area homes enrolled in a cohort study of home exposures and childhood asthma, we assessed the relationship between home characteristics gathered by questionnaire and measured gram-negative bacteria (GNB) (endotoxin and C10:0, C12:0, and C14:0 3-hydroxy fatty acids), gram-positive bacteria (GPB) (N-acetyl muramic acid), and fungal biomarkers [ergosterol and (1→6) branched, (1→3) β-D glucans] in bed and family room dust.
Home characteristics related to dampness were significant predictors of all microbial exposures; water damage or visible mold/mildew in the home was associated with a 20-66% increase in GNB levels. Report of cleaning the bedroom at least once a week was associated with reduced GNB, GPB, and fungi. Presence of dogs or cats predicted increases in home bacteria or fungi. The proportion of variance in microbial biomarkers explained by home characteristics ranged from 4.2% to 19.0%.
Despite their associations with multiple microbial flora, home characteristics only partially explain the variability in microbial biomarker levels and cannot substitute for specific microbial measurements in studies concerned with distinguishing effects of specific classes of microbes.
真菌和细菌生物标志物的测量可能很昂贵,但目前尚不清楚家庭特征是否可以作为这些标志物的替代物,尤其是如果目的是区分具有相似来源但可能对过敏疾病风险有不同影响的特定类别的生物暴露。
我们评估了家庭特征作为多种微生物生物标志物的预测因子,重点关注常见和独特的决定因素,并注意其解释能力的程度。
在波士顿地区的 376 个家庭中,我们进行了一项家庭暴露与儿童哮喘的队列研究,评估了通过问卷收集的家庭特征与测量革兰氏阴性菌(GNB)(内毒素和 C10:0、C12:0 和 C14:0 3-羟基脂肪酸)、革兰氏阳性菌(GPB)(N-乙酰胞壁酸)和床尘和家庭房尘中的真菌生物标志物[麦角固醇和(1→6)支链、(1→3)β-D 葡聚糖]之间的关系。
与潮湿有关的家庭特征是所有微生物暴露的重要预测因子;家中的水损害或可见霉菌/霉菌与 GNB 水平增加 20-66%有关。每周至少清洁一次卧室与 GNB、GPB 和真菌减少有关。家中有狗或猫会增加细菌或真菌。家庭特征解释微生物生物标志物变异性的比例范围为 4.2%至 19.0%。
尽管家庭特征与多种微生物菌群有关,但它们仅部分解释了微生物生物标志物水平的可变性,并且在研究区分特定类别的微生物的影响时不能替代特定的微生物测量。