Suppr超能文献

家庭特征可预测室内灰尘中的细菌和真菌微生物生物标志物。

Home characteristics as predictors of bacterial and fungal microbial biomarkers in house dust.

机构信息

Channing Laboratory, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA.

出版信息

Environ Health Perspect. 2011 Feb;119(2):189-95. doi: 10.1289/ehp.1002004. Epub 2010 Oct 21.

Abstract

BACKGROUND

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.

OBJECTIVE

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.

METHODS

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.

RESULTS

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%.

CONCLUSIONS

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.

摘要

背景

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。

目的

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。

方法

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。

结果

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%。

结论

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。

相似文献

6
Predictors of airborne endotoxin in the home.家庭中空气传播内毒素的预测因素。
Environ Health Perspect. 2001 Aug;109(8):859-64. doi: 10.1289/ehp.01109859.
9
Quantitative assessment of microbes from samples of indoor air and dust.室内空气和灰尘样本中微生物的定量评估。
J Expo Sci Environ Epidemiol. 2018 May;28(3):231-241. doi: 10.1038/jes.2017.24. Epub 2017 Oct 4.

引用本文的文献

9
Quantitative assessment of microbes from samples of indoor air and dust.室内空气和灰尘样本中微生物的定量评估。
J Expo Sci Environ Epidemiol. 2018 May;28(3):231-241. doi: 10.1038/jes.2017.24. Epub 2017 Oct 4.

本文引用的文献

1
The occupant as a source of house dust bacteria.居住者作为室内灰尘细菌的来源。
J Allergy Clin Immunol. 2009 Oct;124(4):834-40.e47. doi: 10.1016/j.jaci.2009.07.045. Epub 2009 Sep 19.
2
Predictors of endotoxin levels in U.S. housing.美国住房内内毒素水平的预测因素。
Environ Health Perspect. 2009 May;117(5):763-71. doi: 10.1289/ehp.11759. Epub 2008 Oct 16.
8
Gender differences in temperament: a meta-analysis.气质的性别差异:一项元分析。
Psychol Bull. 2006 Jan;132(1):33-72. doi: 10.1037/0033-2909.132.1.33.
10
Of microbes and men.微生物与人类
Indoor Air. 2005;15 Suppl 9:58-64. doi: 10.1111/j.1600-0668.2005.00344.x.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验