Literature DB >> 16859747

Levels and determinants of beta(1-->3)-glucans and fungal extracellular polysaccharides in house dust of (pre-)school children in three European countries.

Mariëlla E C A Giovannangelo1, Ulrike Gehring, Emma Nordling, Marieke Oldenwening, Kathelijne van Rijswijk, Siegfried de Wind, Gerard Hoek, Joachim Heinrich, Tom Bellander, Bert Brunekreef.   

Abstract

BACKGROUND: Mold growth is believed to be one causative factor underlying the association between dampness in buildings and increased respiratory morbidity. Measurements of beta(1-->3)-glucans and fungal extracellular polysaccharides (EPS) are used as markers of mold exposure in field studies. Little is known about their levels and determinants in homes.
OBJECTIVE: To study levels and determinants of beta(1-->3)-glucan and EPS levels in mattress and living room floor dust in three European countries.
METHODS: Mattress and living room floor dust was collected in the homes of 1065 German, Dutch, and Swedish (pre-)school children. All samples were analyzed for beta(1-->3)-glucans and EPS in one central laboratory. Determinants were assessed by questionnaire.
RESULTS: Amounts of dust, EPS and beta(1-->3)-glucan levels differed between countries. Amounts of dust, beta(1-->3)-glucan and EPS levels for mattresses were only weakly correlated with those for living room floors. Floor dust beta(1-->3)-glucan loads, EPS loads and EPS concentrations were strongly correlated with the amount of dust sampled, which is largely determined by the type of floor that was sampled (carpeted floors had 5-20 higher amounts of dust). None of the other determinants was consistently and statistically significantly associated with amounts of dust, beta(1-->3)-glucan and EPS concentrations on floors and mattresses.
CONCLUSION: Mattress dust and floor dust are two different measures of exposure to the investigated mold components. Living room floor beta(1-->3)-glucan and EPS loads and EPS concentrations are largely determined by the type of floor sampled. Differences between countries can only partly be explained by the determinants studied.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16859747     DOI: 10.1016/j.envint.2006.06.018

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  5 in total

1.  Detection and quantification of viable airborne bacteria and fungi using solid-phase cytometry.

Authors:  Lies M E Vanhee; Hans J Nelis; Tom Coenye
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

Review 2.  Residential dampness and molds and the risk of developing asthma: a systematic review and meta-analysis.

Authors:  Reginald Quansah; Maritta S Jaakkola; Timo T Hugg; Sirpa A M Heikkinen; Jouni J K Jaakkola
Journal:  PLoS One       Date:  2012-11-07       Impact factor: 3.240

3.  Exposure to Beta-(1,3)-D-glucan in house dust at age 7-10 is associated with airway hyperresponsiveness and atopic asthma by age 11-14.

Authors:  Dharini Maheswaran; Yiye Zeng; Moira Chan-Yeung; James Scott; Alvaro Osornio-Vargas; Allan B Becker; Anita L Kozyrskyj
Journal:  PLoS One       Date:  2014-06-06       Impact factor: 3.240

Review 4.  Environmental exposure assessment in European birth cohorts: results from the ENRIECO project.

Authors:  Ulrike Gehring; Maribel Casas; Bert Brunekreef; Anna Bergström; Jens Peter Bonde; Jérémie Botton; Cecile Chévrier; Sylvaine Cordier; Joachim Heinrich; Cynthia Hohmann; Thomas Keil; Jordi Sunyer; Christina G Tischer; Gunnar Toft; Magnus Wickman; Martine Vrijheid; Mark Nieuwenhuijsen
Journal:  Environ Health       Date:  2013-01-23       Impact factor: 5.984

5.  Allergens and β-glucans in dutch homes and schools: characterizing airborne levels.

Authors:  Esmeralda J M Krop; José H Jacobs; Ingrid Sander; Monika Raulf-Heimsoth; Dick J J Heederik
Journal:  PLoS One       Date:  2014-02-14       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.