A search for biomarkers as diagnostic tools for food allergy: a pilot study in peanut-allergic patients.
BACKGROUND
The impact of peanut allergy is large and accidental ingestion of peanut can lead to severe reactions. Currently used diagnostic tests, such as skin prick tests (SPT) and determination of specific immunoglobulins (IgE) have, however, limited sensitivity and specificity. Therefore, new tools have to be developed to improve the accuracy of the diagnostic work-up of food-allergic patients. Comprehensive metabolite analysis may provide biomarkers for diagnosing food allergy as metabolite levels reflect actual physiological conditions. We investigated whether metabolites can be found that discriminate between peanut-allergic patients and non-peanut-allergic subjects. Such metabolites may be used for future diagnostic purposes.


METHODS
Plasma and saliva samples were obtained from 23 participants (12 peanut allergic and 11 peanut tolerant) prior to and after a peanut challenge and measured with (1)H nuclear magnetic resonance (NMR) spectroscopy with subsequent multivariate data analysis.


RESULTS
Clear differences were observed between NMR spectra of peanut-allergic and peanut-tolerant subjects in plasma as well as saliva. Allergic patients already showed aberrant metabolite levels prior to peanut ingestion, thus before the onset of allergic reactions.


CONCLUSIONS
This pilot study shows that aberrant metabolite levels as determined by NMR in combination with multivariate statistics may serve as novel biomarkers for food allergy.
Department of Dermatology/Allergology, University Medical Center Utrecht, The Netherlands. K.A.B.M.peeters@umcutrecht.nl
Kim A B M
KA
Peeters
Robert-Jan A N
RJ
Lamers
André H
AH
Penninks
Edward F
EF
Knol
Carla A F M
CA
Bruijnzeel-Koomen
Joop H J
JH
van Nesselrooij
André C
AC
Knulst
D000293:Adolescent; D000328:Adult; D000485:Allergens / Q000276:immunology; D010367:Arachis / Q000276:immunology; D015415:Biomarkers / Q000032:analysis / Q000097:blood / Q000378:metabolism*; D003404:Creatinine / Q000097:blood; D016002:Discriminant Analysis; D005260:Female; D005973:Glutamine / Q000097:blood; D006801:Humans; D007073:Immunoglobulin E / Q000097:blood / Q000276:immunology; D019344:Lactic Acid / Q000097:blood; D008055:Lipids / Q000097:blood; D009682:Magnetic Resonance Spectroscopy / Q000379:methods; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009525:Niacin / Q000097:blood; D021183:Peanut Hypersensitivity / Q000175:diagnosis* / Q000276:immunology / Q000378:metabolism*; D010865:Pilot Projects; D025341:Principal Component Analysis; D012463:Saliva / Q000378:metabolism; D012815:Signal Processing, Computer-Assisted; D014364:Tryptophan / Q000097:blood; D014443:Tyrosine / Q000097:blood; D055815:Young Adult
D000485:Allergens; D015415:Biomarkers; D008055:Lipids; D005973:Glutamine; D009525:Niacin; D019344:Lactic Acid; D007073:Immunoglobulin E; D014443:Tyrosine; D014364:Tryptophan; D003404:Creatinine