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Considerations for the use of salivary IgA for monitoring mucosal immune function

Dwyer, Dan B., Booth, Christine K., Pacque, Paul F. and Ball, Madeleine J. 2010, Considerations for the use of salivary IgA for monitoring mucosal immune function, Aviation, space, and environmental medicine, vol. 81, no. 6, pp. 581-584, doi: 10.3357/ASEM.2705.2010.

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Title Considerations for the use of salivary IgA for monitoring mucosal immune function
Author(s) Dwyer, Dan B.
Booth, Christine K.
Pacque, Paul F.
Ball, Madeleine J.
Journal name Aviation, space, and environmental medicine
Volume number 81
Issue number 6
Start page 581
End page 584
Total pages 4
Publisher Aerospace Medical Association
Place of publication Alexandria, Va.
Publication date 2010-06
ISSN 0095-6562
Keyword(s) IgA
biological variation
diurnal variation
physical training
reference range
Summary Introduction
We aimed to make recommendations concerning the use of total IgA in saliva (s-IgA) as an aid for monitoring athletic and military training.

Methods:
Unstimulated whole saliva was collected from 16 subjects (11 women and 5 men ages 18–57) during nonconsecutive days of fasting and non-fasting. Seven samples were collected from each subject at 0700, 0900, 1200, 1400, 1600, 1800, and 2030 on each day and a further three samples were collected 30 min after three meals on the non-fasting day (at 0730, 1230, and 1830). Strenuous activity was avoided and subjects did not drink caffeine or alcohol-containing beverages. Albumin and s-IgA were measured by commercial nephelometric immunoassays with intra-analytical coefficient of variance (CVA) of 1.8% and 2.9%, respectively. Individual and group variations were determined. Diurnal variation was determined by use of repeated-measures analysis of variance.

Results:
CV-individual (CVI) was 48% for s-IgA concentration and 43% for s-IgA secretion and s-IgA:albumin. CV-group (CVG) for these same measures was 68%, 75%, and 68%, respectively. When measurements were adjusted for saliva flow rates there was no evidence that s-IgA is subject to diurnal variation. There was strong evidence for a postprandial decrease in s-IgA for all measures.

Conclusion:
The high degree of individuality in s-IgA precludes the use of population reference ranges for identifying individual abnormal results. For the purpose of monitoring individuals we recommend using the individual's calculated biological variance (determined from previous serial measurements over a period of days to weeks). Individual abnormal results can then be identified.
Language eng
DOI 10.3357/ASEM.2705.2010
Field of Research 110602 Exercise Physiology
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2010, Aerospace Medical Association
Persistent URL http://hdl.handle.net/10536/DRO/DU:30058765

Document type: Journal Article
Collection: School of Exercise and Nutrition Sciences
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Created: Thu, 05 Dec 2013, 10:43:04 EST by Dan Dwyer

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