Abstract
Background: Peanut allergy is characterized by the development of IgE against peanut antigen. Objective: We sought to evaluate the evolution of epitope-specific (es)IgE and esIgG4 in a prospective cohort of high-risk infants to determine whether antibody profiles can predict peanut allergy after age 4 years. Methods: The end point was allergy status at age 4+ years; samples from 293 children were collected at age 3 to 15 months and 2 to 3 and 4+ years. Levels of specific (s)IgE and sIgG4 to peanut and component proteins, and 50 esIgE and esIgG4 were quantified. Changes were analyzed with mixed-effects models. Machine learning algorithms were developed to identify a combination of antigen- and epitope-specific antibodies that using 3- to 15-month or 2- to 3-year samples can predict allergy status at age 4+ years. Results: At age 4+ years, 38% of children were Tolerant or 14% had Possible, 8% Convincing, 24% Serologic, and 16% Confirmed allergy. At age 3 to 15 months, esIgE profiles were similar among groups, whereas marked increases were evident at age 2 and 4+ years only in Confirmed and Serologic groups. In contrast, peanut sIgE level was significantly lower in the Tolerant group at age 3 to 15 months, increased in Confirmed and Serologic groups but decreased in Convincing and Possibly Allergic groups over time. An algorithm combining esIgEs with peanut sIgE outperformed different clinically relevant IgE cutoffs, predicting allergy status on an “unseen” set of patients with area under the curves of 0.84 at age 3 to 15 months and 0.87 at age 2 to 3 years. Conclusions: Early epitope-specific plus peanut-specific IgE is predictive of allergy status at age 4+ years.
Original language | English |
---|---|
Pages (from-to) | 1080-1088 |
Number of pages | 9 |
Journal | Journal of Allergy and Clinical Immunology |
Volume | 146 |
Issue number | 5 |
DOIs | |
State | Published - Nov 2020 |
Keywords
- Ara h 1
- Ara h 2
- Ara h 3
- Bead-Based Epitope Assay
- IgE
- IgG
- Peanut allergy
- antibodies
- epitopes
- machine learning
- precision medicine
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In: Journal of Allergy and Clinical Immunology, Vol. 146, No. 5, 11.2020, p. 1080-1088.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Early epitope-specific IgE antibodies are predictive of childhood peanut allergy
AU - Suprun, Maria
AU - Sicherer, Scott H.
AU - Wood, Robert A.
AU - Jones, Stacie M.
AU - Leung, Donald Y.M.
AU - Henning, Alice K.
AU - Dawson, Peter
AU - Burks, A. Wesley
AU - Lindblad, Robert
AU - Getts, Robert
AU - Suárez-Fariñas, Mayte
AU - Sampson, Hugh A.
N1 - Funding Information: The study was funded in part by a grant from the National Institutes of Health-National Institute of Allergy and Infectious Diseases (NIH-NIAID; grant nos. AI-066738, U19AI066738, and U01AI066560), the David H. and Julia Koch Research Program in Food Allergy Therapeutics, and AllerGenis LLC. The project was also supported by National Jewish Health (grant no. UL1 TR-002535), Mount Sinai (grant no. UL1 TR-000067), University of Arkansas for Medical Sciences (grant no. UL1 TR-003107), University of North Carolina (grant no. UL1 TR-000083), and Johns Hopkins (grant no. UL1 TR-000424) from the National Center for Research Resources (NCRR), a component of the NIH. M.S. was funded by the Integrated Pharmacological Sciences Training Program grant from the National Institute of General Medical Sciences (grant no. T32GM062754). The contents of the manuscript are solely the responsibility of the authors and do not necessarily represent the official view of NCRR or NIH. Disclosure of potential conflict of interest: S. H. Sicherer reports grants and personal fees from Food Allergy Research and Education (FARE); grants from HAL Allergy and National Institutes of Health-National Institute of Allergy and Infectious Diseases (NIH-NIAID); personal fees from the American Academy of Allergy, Asthma & Immunology, UpToDate, and Johns Hopkins University Press, outside the submitted work; and grants from NIH-NIAID during the conduct of the study. R. A. Wood reports grants from NIH-NIAID, Astellas, DBV, Aimmune, Regeneron, and Sanofi and other fees from Up To Date, outside the submitted work. S. M. Jones reports grants from NIH-NIAID, during the conduct of the study; personal fees from FARE, Aimmune Therapeutics, and EMMES Corporation; and grants from Aimmune Therapeutics, DBV Technologies, Astellas, Inc, FARE, NIH-NIAID, Sanofi, Regeneron, and Genentech, Inc, outside the submitted work. A. K. Henning reports grants from Division of Allergy, Immunology, and Transplantation (DAIT)/NIAID/NIH during the conduct of the study. P. Dawson reports grants from DAIT/NIAID/NIH during the conduct of the study. A. W. Burks reports personal fees from Aimmune Therapeutics, Inc, Astella Pharma Global Development, Consortia TX, Inc, DBV Technologies, Intrommune Therapeutics, Prota Therapeutics, N-Fold, LLC, Aravax, Hycor Biomedical, AllerGenis, kaléo, and UKKO, Inc; grants from NIH, Johns Hopkins/NIH, and FARE; other fees from Allertein stock and Mastcell Pharmaceuticals; UpToDate royalties, outside the submitted work; and patents US#7879977, US#6835824, US#6486311, US#6441142, US#5973121, and US#5558869 with royalties paid. R. Lindblad reports grants from DAIT/NIAID/NIH during the conduct of the study. R. Getts is an employee of Genisphere LLC and scientific consultant of AllerGenis LLC and has a patent PCT/US15/020715 (WO) pending. M. Suárez-Fariñas received research funding to Mount Sinai by a grant from AllerGenis LLC. H. A. Sampson reports nonfinancial support from AllerGenis LLC during the conduct of the study; grants from Immune Tolerance Network and NIAID/NIH; personal fees from N-Fold Therapeutics; other fees from DBV Technologies, outside the submitted work; and serves as an unpaid Board of Directors member and advisor to AllerGenis LLC (Mount Sinai has licensed the technology for a Bead-Based Epitope Assay for food-allergen epitope analyses to AllerGenis LLC). The rest of the authors declare that they have no relevant conflicts of interest. Funding Information: Disclosure of potential conflict of interest: S. H. Sicherer reports grants and personal fees from Food Allergy Research and Education (FARE); grants from HAL Allergy and National Institutes of Health-National Institute of Allergy and Infectious Diseases (NIH-NIAID); personal fees from the American Academy of Allergy, Asthma & Immunology, UpToDate, and Johns Hopkins University Press, outside the submitted work; and grants from NIH-NIAID during the conduct of the study. R. A. Wood reports grants from NIH-NIAID, Astellas, DBV, Aimmune, Regeneron, and Sanofi and other fees from Up To Date, outside the submitted work. S. M. Jones reports grants from NIH-NIAID, during the conduct of the study; personal fees from FARE, Aimmune Therapeutics, and EMMES Corporation; and grants from Aimmune Therapeutics, DBV Technologies, Astellas, Inc, FARE, NIH-NIAID, Sanofi, Regeneron, and Genentech, Inc, outside the submitted work. A. K. Henning reports grants from Division of Allergy, Immunology, and Transplantation (DAIT)/NIAID/NIH during the conduct of the study. P. Dawson reports grants from DAIT/NIAID/NIH during the conduct of the study. A. W. Burks reports personal fees from Aimmune Therapeutics, Inc, Astella Pharma Global Development, Consortia TX, Inc, DBV Technologies, Intrommune Therapeutics, Prota Therapeutics, N-Fold, LLC, Aravax, Hycor Biomedical, AllerGenis, kaléo, and UKKO, Inc; grants from NIH, Johns Hopkins/NIH, and FARE; other fees from Allertein stock and Mastcell Pharmaceuticals; UpToDate royalties, outside the submitted work; and patents US#7879977, US#6835824, US#6486311, US#6441142, US#5973121, and US#5558869 with royalties paid. R. Lindblad reports grants from DAIT/NIAID/NIH during the conduct of the study. R. Getts is an employee of Genisphere LLC and scientific consultant of AllerGenis LLC and has a patent PCT/US15/020715 (WO) pending. M. Suárez-Fariñas received research funding to Mount Sinai by a grant from AllerGenis LLC. H. A. Sampson reports nonfinancial support from AllerGenis LLC during the conduct of the study; grants from Immune Tolerance Network and NIAID/NIH; personal fees from N-Fold Therapeutics; other fees from DBV Technologies, outside the submitted work; and serves as an unpaid Board of Directors member and advisor to AllerGenis LLC (Mount Sinai has licensed the technology for a Bead-Based Epitope Assay for food-allergen epitope analyses to AllerGenis LLC). The rest of the authors declare that they have no relevant conflicts of interest. Funding Information: The study was funded in part by a grant from the National Institutes of Health-National Institute of Allergy and Infectious Diseases (NIH-NIAID; grant nos. AI-066738 , U19AI066738 , and U01AI066560 ), the David H. and Julia Koch Research Program in Food Allergy Therapeutics, and AllerGenis LLC. The project was also supported by National Jewish Health (grant no. UL1 TR-002535 ), Mount Sinai (grant no. UL1 TR-000067 ), University of Arkansas for Medical Sciences (grant no. UL1 TR-003107 ), University of North Carolina (grant no. UL1 TR-000083 ), and Johns Hopkins (grant no. UL1 TR-000424 ) from the National Center for Research Resources (NCRR), a component of the NIH. M.S. was funded by the Integrated Pharmacological Sciences Training Program grant from the National Institute of General Medical Sciences (grant no. T32GM062754 ). The contents of the manuscript are solely the responsibility of the authors and do not necessarily represent the official view of NCRR or NIH. Publisher Copyright: © 2020 American Academy of Allergy, Asthma & Immunology
PY - 2020/11
Y1 - 2020/11
N2 - Background: Peanut allergy is characterized by the development of IgE against peanut antigen. Objective: We sought to evaluate the evolution of epitope-specific (es)IgE and esIgG4 in a prospective cohort of high-risk infants to determine whether antibody profiles can predict peanut allergy after age 4 years. Methods: The end point was allergy status at age 4+ years; samples from 293 children were collected at age 3 to 15 months and 2 to 3 and 4+ years. Levels of specific (s)IgE and sIgG4 to peanut and component proteins, and 50 esIgE and esIgG4 were quantified. Changes were analyzed with mixed-effects models. Machine learning algorithms were developed to identify a combination of antigen- and epitope-specific antibodies that using 3- to 15-month or 2- to 3-year samples can predict allergy status at age 4+ years. Results: At age 4+ years, 38% of children were Tolerant or 14% had Possible, 8% Convincing, 24% Serologic, and 16% Confirmed allergy. At age 3 to 15 months, esIgE profiles were similar among groups, whereas marked increases were evident at age 2 and 4+ years only in Confirmed and Serologic groups. In contrast, peanut sIgE level was significantly lower in the Tolerant group at age 3 to 15 months, increased in Confirmed and Serologic groups but decreased in Convincing and Possibly Allergic groups over time. An algorithm combining esIgEs with peanut sIgE outperformed different clinically relevant IgE cutoffs, predicting allergy status on an “unseen” set of patients with area under the curves of 0.84 at age 3 to 15 months and 0.87 at age 2 to 3 years. Conclusions: Early epitope-specific plus peanut-specific IgE is predictive of allergy status at age 4+ years.
AB - Background: Peanut allergy is characterized by the development of IgE against peanut antigen. Objective: We sought to evaluate the evolution of epitope-specific (es)IgE and esIgG4 in a prospective cohort of high-risk infants to determine whether antibody profiles can predict peanut allergy after age 4 years. Methods: The end point was allergy status at age 4+ years; samples from 293 children were collected at age 3 to 15 months and 2 to 3 and 4+ years. Levels of specific (s)IgE and sIgG4 to peanut and component proteins, and 50 esIgE and esIgG4 were quantified. Changes were analyzed with mixed-effects models. Machine learning algorithms were developed to identify a combination of antigen- and epitope-specific antibodies that using 3- to 15-month or 2- to 3-year samples can predict allergy status at age 4+ years. Results: At age 4+ years, 38% of children were Tolerant or 14% had Possible, 8% Convincing, 24% Serologic, and 16% Confirmed allergy. At age 3 to 15 months, esIgE profiles were similar among groups, whereas marked increases were evident at age 2 and 4+ years only in Confirmed and Serologic groups. In contrast, peanut sIgE level was significantly lower in the Tolerant group at age 3 to 15 months, increased in Confirmed and Serologic groups but decreased in Convincing and Possibly Allergic groups over time. An algorithm combining esIgEs with peanut sIgE outperformed different clinically relevant IgE cutoffs, predicting allergy status on an “unseen” set of patients with area under the curves of 0.84 at age 3 to 15 months and 0.87 at age 2 to 3 years. Conclusions: Early epitope-specific plus peanut-specific IgE is predictive of allergy status at age 4+ years.
KW - Ara h 1
KW - Ara h 2
KW - Ara h 3
KW - Bead-Based Epitope Assay
KW - IgE
KW - IgG
KW - Peanut allergy
KW - antibodies
KW - epitopes
KW - machine learning
KW - precision medicine
UR - http://www.scopus.com/inward/record.url?scp=85090840969&partnerID=8YFLogxK
U2 - 10.1016/j.jaci.2020.08.005
DO - 10.1016/j.jaci.2020.08.005
M3 - Article
C2 - 32795587
AN - SCOPUS:85090840969
SN - 0091-6749
VL - 146
SP - 1080
EP - 1088
JO - Journal of Allergy and Clinical Immunology
JF - Journal of Allergy and Clinical Immunology
IS - 5
ER -