TY - JOUR
T1 - Omics approaches
T2 - interactions at the maternal–fetal interface and origins of child health and disease
AU - Ozen, Maide
AU - Aghaeepour, Nima
AU - Marić, Ivana
AU - Wong, Ronald J.
AU - Stevenson, David K.
AU - Jantzie, Lauren L.
N1 - Funding Information:
We thank Dr. Brice Gaudilliere, MD, PhD for his critical review of the manuscript. This work was supported in part by Johns Hopkins University School of Medicine Clinician-Scientist Award (JHUSOM CSA). NIH (R01HL139492 and R35GM138353), Burroughs Wellcome Fund (1019816), Robertson Foundation, Christopher Hess Research Fund, the Alfred E. Mann Foundation, the March of Dimes, and the Bill and Melinda Gates Foundation (INV-001734, OPP1113682, INV-003225, INV037517).
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc.
PY - 2023/1
Y1 - 2023/1
N2 - Abstract: Immunoperinatology is an emerging field. Transdisciplinary efforts by physicians, physician‐scientists, basic science researchers, and computational biologists have made substantial advancements by identifying unique immunologic signatures of specific diseases, discovering innovative preventative or treatment strategies, and establishing foundations for individualized neonatal intensive care of the most vulnerable neonates. In this review, we summarize the immunobiology and immunopathology of pregnancy, highlight omics approaches to study the maternal–fetal interface, and their contributions to pregnancy health. We examined the importance of transdisciplinary, multiomic (such as genomics, transcriptomics, proteomics, metabolomics, and immunomics) and machine-learning strategies in unraveling the mechanisms of adverse pregnancy, neonatal, and childhood outcomes and how they can guide the development of novel therapies to improve maternal and neonatal health. Impact: Discuss immunoperinatology research from the lens of omics and machine-learning approaches.Identify opportunities for omics-based approaches to delineate infection/inflammation-associated maternal, neonatal, and later life adverse outcomes (e.g., histologic chorioamnionitis [HCA]).
AB - Abstract: Immunoperinatology is an emerging field. Transdisciplinary efforts by physicians, physician‐scientists, basic science researchers, and computational biologists have made substantial advancements by identifying unique immunologic signatures of specific diseases, discovering innovative preventative or treatment strategies, and establishing foundations for individualized neonatal intensive care of the most vulnerable neonates. In this review, we summarize the immunobiology and immunopathology of pregnancy, highlight omics approaches to study the maternal–fetal interface, and their contributions to pregnancy health. We examined the importance of transdisciplinary, multiomic (such as genomics, transcriptomics, proteomics, metabolomics, and immunomics) and machine-learning strategies in unraveling the mechanisms of adverse pregnancy, neonatal, and childhood outcomes and how they can guide the development of novel therapies to improve maternal and neonatal health. Impact: Discuss immunoperinatology research from the lens of omics and machine-learning approaches.Identify opportunities for omics-based approaches to delineate infection/inflammation-associated maternal, neonatal, and later life adverse outcomes (e.g., histologic chorioamnionitis [HCA]).
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U2 - 10.1038/s41390-022-02335-x
DO - 10.1038/s41390-022-02335-x
M3 - Review article
C2 - 36216868
AN - SCOPUS:85139644513
SN - 0031-3998
VL - 93
SP - 366
EP - 375
JO - Pediatric research
JF - Pediatric research
IS - 2
ER -