Combined T regulatory cell and Th2 expression profile identifies children with cow's milk allergy

Clinical Immunology

Volumn 136, Issue 1, 2010, Pages 16-20

  Savilahti, Emma M ^a   Karinen, Sirkku ^b   Salo, Harri M ^c   Klemetti, Paula ^c   Saarinen, Kristiina M ^a   Klemola, Timo ^a   Kuitunen, Mikael ^a   Hautaniemi, Sampsa ^b   Savilahti, Erkki ^a   Vaarala, Outi ^c  

^a UNIVERSITY OF HELSINKI   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

^c NATIONAL PUBLIC HEALTH INSTITUTE   (Finland)

Author keywords

Cow's milk allergy; Oral tolerance; Regulatory T cells

Indexed keywords

BETA LACTOGLOBULIN; CD4 ANTIGEN; CELL MARKER; INTERLEUKIN 16; INTERLEUKIN 2 RECEPTOR ALPHA; INTERLEUKIN 7 RECEPTOR; MESSENGER RNA; TRANSCRIPTION FACTOR FOXP3; TRANSCRIPTION FACTOR GATA 3; TRANSCRIPTION FACTOR NFAT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ATOPY; CHILD; CONTROLLED STUDY; CONVALESCENCE; DISEASE ACTIVITY; GENE EXPRESSION; HUMAN; HUMAN CELL; IMMUNOLOGICAL TOLERANCE; IN VITRO STUDY; MAJOR CLINICAL STUDY; MILK ALLERGY; PATIENT IDENTIFICATION; PERIPHERAL BLOOD MONONUCLEAR CELL; PRIORITY JOURNAL; PROTEIN EXPRESSION; REGULATORY T LYMPHOCYTE; T LYMPHOCYTE ACTIVATION; TH2 CELL;

ANIMALS; CATTLE; CELL COUNT; CHILD; CHILD, PRESCHOOL; FORKHEAD TRANSCRIPTION FACTORS; GATA3 TRANSCRIPTION FACTOR; GENE EXPRESSION; HUMANS; IMMUNE TOLERANCE; INTERLEUKIN-16; INTERLEUKIN-7 RECEPTOR ALPHA SUBUNIT; LACTOGLOBULINS; LEUKOCYTES, MONONUCLEAR; LYMPHOCYTE ACTIVATION; MILK HYPERSENSITIVITY; NEURAL NETWORKS (COMPUTER); NFATC TRANSCRIPTION FACTORS; T-LYMPHOCYTE SUBSETS; T-LYMPHOCYTES, REGULATORY; TH2 CELLS;

EID: 77953232663     PISSN: 15216616     EISSN: 15217035     Source Type: Journal    
DOI: 10.1016/j.clim.2010.02.011     Document Type: Article

References (34)

1. Host A., and Halken S. A prospective study of cow milk allergy in Danish infants during the first 3 years of life. Clinical course in relation to clinical and immunological type of hypersensitivity reaction. Allergy 45 (1990) 587-596
2. Saarinen K.M., Pelkonen A.S., Makela M.J., and Savilahti E. Clinical course and prognosis of cow's milk allergy are dependent on milk-specific IgE status. J. Allergy Clin. Immunol. 116 (2005) 869-875
3. Saurer L., and Mueller C. T cell-mediated immunoregulation in the gastrointestinal tract. Allergy 64 (2009) 505-519
4. Akdis M., Verhagen J., Taylor A., Karamloo F., Karagiannidis C., Crameri R., Thunberg S., Deniz G., Valenta R., Fiebig H., Kegel C., Disch R., Schmidt-Weber C.B., Blaser K., and Akdis C.A. Immune responses in healthy and allergic individuals are characterized by a fine balance between allergen-specific T regulatory 1 and T helper 2 cells. J. Exp. Med. 199 (2004) 1567-1575
5. Francis J.N., Till S.J., and Durham S.R. Induction of IL-10+CD4+CD25+ T cells by grass pollen immunotherapy. J. Allergy Clin. Immunol. 111 (2003) 1255-1261
6. Itoh M., Takahashi T., Sakaguchi N., Kuniyasu Y., Shimizu J., Otsuka F., and Sakaguchi S. Thymus and autoimmunity: production of CD25+CD4+ naturally anergic and suppressive T cells as a key function of the thymus in maintaining immunologic self-tolerance. J. Immunol. 162 (1999) 5317-5326
7. Hori S., Nomura T., and Sakaguchi S. Control of regulatory T cell development by the transcription factor Foxp3. Science 299 (2003) 1057-1061
8. Fontenot J.D., Rasmussen J.P., Williams L.M., Dooley J.L., Farr A.G., Rudensky A.Y., and Regulatory T. cell lineage specification by the forkhead transcription factor foxp3. Immunity 22 (2005) 329-341
9. Komatsu N., Mariotti-Ferrandiz M.E., Wang Y., Malissen B., Waldmann H., and Hori S. Heterogeneity of natural Foxp3+ T cells: a committed regulatory T-cell lineage and an uncommitted minor population retaining plasticity. Proc. Natl. Acad. Sci. U. S. A. 106 (2009) 1903-1908
10. Liu W., Putnam A.L., Xu-Yu Z., Szot G.L., Lee M.R., Zhu S., Gottlieb P.A., Kapranov P., Gingeras T.R., Fazekas de St Groth B., Clayberger C., Soper D.M., Ziegler S.F., and Bluestone J.A. CD127 expression inversely correlates with FoxP3 and suppressive function of human CD4+ T reg cells. J. Exp. Med. 203 (2006) 1701-1711
11. Seddiki N., Santner-Nanan B., Martinson J., Zaunders J., Sasson S., Landay A., Solomon M., Selby W., Alexander S.I., Nanan R., Kelleher A., and Fazekas de St Groth B. Expression of interleukin (IL)-2 and IL-7 receptors discriminates between human regulatory and activated T cells. J. Exp. Med. 203 (2006) 1693-1700
12. Bayer A.L., Lee J.Y., de la Barrera A., Surh C.D., and Malek T.R. A function for IL-7R for CD4+CD25+Foxp3+ T regulatory cells. J. Immunol. 181 (2008) 225-234
13. Torgerson T.R., Linane A., Moes N., Anover S., Mateo V., Rieux-Laucat F., Hermine O., Vijay S., Gambineri E., Cerf-Bensussan N., Fischer A., Ochs H.D., Goulet O., and Ruemmele F.M. Severe food allergy as a variant of IPEX syndrome caused by a deletion in a noncoding region of the FOXP3 gene. Gastroenterology 132 (2007) 1705-1717
14. M. Smith, M.R. Tourigny, P. Noakes, C.A. Thornton, M.K. Tulic, S.L. Prescott, Children with egg allergy have evidence of reduced neonatal CD4(+)CD25(+)CD127(lo/-) regulatory T cell function, J Allergy Clin Immunol 121 (2008) 1460-6, 1466.e1-7.
15. Karlsson M.R., Rugtveit J., and Brandtzaeg P. Allergen-responsive CD4+CD25+ regulatory T cells in children who have outgrown cow's milk allergy. J. Exp. Med. 199 (2004) 1679-1688
16. Shreffler W.G., Wanich N., Moloney M., Nowak-Wegrzyn A., and Sampson H.A. Association of allergen-specific regulatory T cells with the onset of clinical tolerance to milk protein. J. Allergy Clin. Immunol. 123 (2009) 43-52 e7
17. Honkanen J., Skarsvik S., Knip M., and Vaarala O. Poor in vitro induction of FOXP3 and ICOS in type 1 cytokine environment activated T-cells from children with type 1 diabetes. Diabet. Metab. Res. Rev. 24 (2008) 635-641
18. Bishop C.M. Neural Networks for Pattern Recognition. 1st ed. (1995), Clarendon Press, Oxford
19. Hastie T., Tibshirani R., and Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 1st ed. (2003), Springer-Verlag
20. Krogh A. What are artificial neural networks?. Nat. Biotechnol. 26 (2008) 195-197
21. Khan J., Wei J.S., Ringner M., Saal L.H., Ladanyi M., Westermann F., Berthold F., Schwab M., Antonescu C.R., Peterson C., and Meltzer P.S. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat. Med. 7 (2001) 673-679
22. Lancashire L.J., Powe D.G., Reis-Filho J.S., Rakha E., Lemetre C., Weigelt B., Abdel-Fatah T.M., Green A.R., Mukta R., Blamey R., Paish E.C., Rees R.C., Ellis I.O., and Ball G.R. A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks. Breast Cancer Res. Treat. 120 (2010) 83-93
23. Witten I.H., and Frank E. Data Mining: Practical Machine Learning Tools and Techniques. 2nd ed. (2005), Morgan Kaufmann, San Francisco
24. Fawcett T. An introduction to ROC analysis. ROC Analysis Pattern Recognition 27 (2006) 861-874
25. Fleiss J.L. Measuring nominal scale agreement among many raters. Psychol. Bull. 76 (1971) 378-382
26. Bopp T., Palmetshofer A., Serfling E., Heib V., Schmitt S., Richter C., Klein M., Schild H., Schmitt E., and Stassen M. NFATc2 and NFATc3 transcription factors play a crucial role in suppression of CD4+ T lymphocytes by CD4+ CD25+ regulatory T cells. J. Exp. Med. 201 (2005) 181-187
27. Bettelli E., Dastrange M., and Oukka M. Foxp3 interacts with nuclear factor of activated T cells and NF-kappa B to repress cytokine gene expression and effector functions of T helper cells. Proc. Natl. Acad. Sci. U. S. A. 102 (2005) 5138-5143
28. Wu Y., Borde M., Heissmeyer V., Feuerer M., Lapan A.D., Stroud J.C., Bates D.L., Guo L., Han A., Ziegler S.F., Mathis D., Benoist C., Chen L., and Rao A. FOXP3 controls regulatory T cell function through cooperation with NFAT. Cell 126 (2006) 375-387
29. McFadden C., Morgan R., Rahangdale S., Green D., Yamasaki H., Center D., and Cruikshank W. Preferential migration of T regulatory cells induced by IL-16. J. Immunol. 179 (2007) 6439-6445
30. Pinsonneault S., El Bassam S., Mazer B., Cruikshank W.W., and Laberge S. IL-16 inhibits IL-5 production by antigen-stimulated T cells in atopic subjects. J. Allergy Clin. Immunol. 107 (2001) 477-482
31. El Bassam S., Pinsonneault S., Kornfeld H., Ren F., Menezes J., and Laberge S. Interleukin-16 inhibits interleukin-13 production by allergen-stimulated blood mononuclear cells. Immunology 117 (2006) 89-96
32. Angelova-Fischer I., Hipler U.C., Bauer A., Fluhr J.W., Tsankov N., Fischer T.W., and Elsner P. Significance of interleukin-16, macrophage-derived chemokine, eosinophil cationic protein and soluble E-selectin in reflecting disease activity of atopic dermatitis-from laboratory parameters to clinical scores. Br. J. Dermatol. 154 (2006) 1112-1117
33. Bussmann C., Maintz L., Hart J., Allam J.P., Vrtala S., Chen K.W., Bieber T., Thomas W.R., Valenta R., Zuberbier T., Sager A., and Novak N. Clinical improvement and immunological changes in atopic dermatitis patients undergoing subcutaneous immunotherapy with a house dust mite allergoid: a pilot study. Clin. Exp. Allergy 37 (2007) 1277-1285
34. Wei J., Duramad O., Perng O.A., Reiner S.L., Liu Y.J., and Qin F.X. Antagonistic nature of T helper 1/2 developmental programs in opposing peripheral induction of Foxp3+ regulatory T cells. Proc. Natl. Acad. Sci. U. S. A. 104 (2007) 18169-18174