Literature DB >> 25208705

Measurement of β-(1,3)-glucan in household dust samples using Limulus amebocyte assay and enzyme immunoassays: an inter-laboratory comparison.

Collin R Brooks1, Rob Siebers, Julian Crane, Ilka Noss, Inge M Wouters, Ingrid Sander, Monika Raulf-Heimsoth, Peter S Thorne, Nervana Metwali, Jeroen Douwes.   

Abstract

Environmental levels of β-(1,3)-glucan, an inflammatory fungal cell wall component, have been suggested to be related to respiratory symptoms. However there is currently little data comparing β-(1,3)-glucan detection methods and/or results obtained in different laboratories. The aim of this study was to compare levels of β-(1,3)-glucans detected in household dust samples (n = 40) using different extraction/detection methods (Limulus amebocyte assay (LAL), inhibition enzyme immunoassay (EIA) and sandwich EIA) in five different laboratories. Dust sample aliquots were sent to participating centres, extracted and analysed for β-(1,3)-glucan according to standard in-house procedures. Significant differences in the levels of β-(1,3)-glucan were observed between all laboratories (geometric mean levels ranging from 15.4 μg g (-1) to 4754 μg g(-1) dust; p < 0.0001) with the exception of those using a similar LAL method. The inhibition EIA used in laboratory D produced mean β-(1,3)-glucan measurements 80-100 times higher than the LAL assays, 4 times higher than the sandwich EIA in the same lab, 17.6 times those obtained with the EIA in lab E and 363 times those obtained in the EIA in laboratory C. Pearson's correlations generally showed significant associations between methods and laboratories, particularly those using similar methodology (R ranging from 0.5 to 0.8; p < 0.001), although some poor and even inverse correlations were observed. Bland-Altman analyses showed moderate to good agreement between most assays, although clear absolute differences were observed. In conclusion, although results obtained with different methods were often significantly correlated and therefore comparable in relative terms, direct comparison of results between laboratories and assays may be inappropriate.

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Year:  2012        PMID: 25208705     DOI: 10.1039/c2em30749a

Source DB:  PubMed          Journal:  Environ Sci Process Impacts        ISSN: 2050-7887            Impact factor:   4.238


  4 in total

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Authors:  Melissa C Friesen; Felicia Hung; Shuai Xie; Susan M Viet; Nicole C Deziel; Sarah J Locke; Pabitra R Josse; Jean-François Sauvé; Gabriella Andreotti; Peter S Thorne; Laura E Beane-Freeman; Jonathan N Hofmann
Journal:  Ann Work Expo Health       Date:  2022-10-11       Impact factor: 2.779

2.  Household determinants of biocontaminant exposures in Canadian homes.

Authors:  Liu Sun; J David Miller; Keith Van Ryswyk; Amanda J Wheeler; Marie-Eve Héroux; Mark S Goldberg; Gary Mallach
Journal:  Indoor Air       Date:  2021-09-25       Impact factor: 6.554

3.  Household dampness and microbial exposure related to allergy and respiratory health in Danish adults.

Authors:  G Juel Holst; Ad Pørneki; J Lindgreen; B Thuesen; J Bønløkke; A Hyvärinen; G Elholm; K Østergaard; S Loft; C Brooks; J Douwes; A Linneberg; T Sigsgaard
Journal:  Eur Clin Respir J       Date:  2020-01-24

4.  Animal Allergens, Endotoxin, and β-(1,3)-Glucan in Small Animal Practices: Exposure Levels at Work and in Homes of Veterinary Staff.

Authors:  Eva Zahradnik; Ingrid Sander; Olaf Kleinmüller; Anne Lotz; Verena Liebers; Bente Janssen-Weets; Stéphanie Kler; Christiane Hilger; Alexandra Beine; Frank Hoffmeyer; Albert Nienhaus; Monika Raulf
Journal:  Ann Work Expo Health       Date:  2022-01-07       Impact factor: 2.179

  4 in total

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