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For: Yeung HY, Dendrou CA. Pregnancy Immunogenetics and Genomics: Implications for Pregnancy-Related Complications and Autoimmune Disease. Annu Rev Genomics Hum Genet 2019;20:73-97. [PMID: 30848957 DOI: 10.1146/annurev-genom-083118-014943] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]

For:	Yeung HY, Dendrou CA. Pregnancy Immunogenetics and Genomics: Implications for Pregnancy-Related Complications and Autoimmune Disease. Annu Rev Genomics Hum Genet 2019;20:73-97. [PMID: 30848957 DOI: 10.1146/annurev-genom-083118-014943] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]

Number

Cited by Other Article(s)

Kang JB, Shen AZ, Gurajala S, Nathan A, Rumker L, Aguiar VRC, Valencia C, Lagattuta KA, Zhang F, Jonsson AH, Yazar S, Alquicira-Hernandez J, Khalili H, Ananthakrishnan AN, Jagadeesh K, Dey K, Daly MJ, Xavier RJ, Donlin LT, Anolik JH, Powell JE, Rao DA, Brenner MB, Gutierrez-Arcelus M, Luo Y, Sakaue S, Raychaudhuri S. Mapping the dynamic genetic regulatory architecture of HLA genes at single-cell resolution. Nat Genet 2023;55:2255-2268. [PMID: 38036787 PMCID: PMC10787945 DOI: 10.1038/s41588-023-01586-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 10/19/2023] [Indexed: 12/02/2023]

Affiliation(s)

Joyce B Kang Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
Amber Z Shen Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
Saisriram Gurajala Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
Aparna Nathan Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
Laurie Rumker Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
Vitor R C Aguiar Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
Cristian Valencia Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
Kaitlyn A Lagattuta Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
Fan Zhang Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA Division of Rheumatology and the Center for Health Artificial Intelligence, University of Colorado School of Medicine, Aurora, CO, USA
Anna Helena Jonsson Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
Seyhan Yazar Garvan Institute of Medical Research, Sydney, New South Wales, Australia
Jose Alquicira-Hernandez Garvan Institute of Medical Research, Sydney, New South Wales, Australia
Hamed Khalili Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
Ashwin N Ananthakrishnan Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
Karthik Jagadeesh Harvard T. H. Chan School of Public Health, Boston, MA, USA
Kushal Dey Harvard T. H. Chan School of Public Health, Boston, MA, USA Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA Physiology, Biophysics and Systems Biology Program, Weill Cornell Medicine, New York, NY, USA
Mark J Daly Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA The Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
Ramnik J Xavier Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
Laura T Donlin Hospital for Special Surgery, New York, NY, USA Weill Cornell Medicine, New York, NY, USA
Jennifer H Anolik Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
Joseph E Powell Garvan Institute of Medical Research, Sydney, New South Wales, Australia
Deepak A Rao Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
Michael B Brenner Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
Maria Gutierrez-Arcelus Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
Yang Luo Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
Saori Sakaue Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
Soumya Raychaudhuri Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA. Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA. Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

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Kang JB, Shen AZ, Sakaue S, Luo Y, Gurajala S, Nathan A, Rumker L, Aguiar VRC, Valencia C, Lagattuta K, Zhang F, Jonsson AH, Yazar S, Alquicira-Hernandez J, Khalili H, Ananthakrishnan AN, Jagadeesh K, Dey K, Daly MJ, Xavier RJ, Donlin LT, Anolik JH, Powell JE, Rao DA, Brenner MB, Gutierrez-Arcelus M, Raychaudhuri S. Mapping the dynamic genetic regulatory architecture of HLA genes at single-cell resolution. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.14.23287257. [PMID: 36993194 PMCID: PMC10055604 DOI: 10.1101/2023.03.14.23287257] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]

Affiliation(s)

Joyce B. Kang Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Amber Z. Shen Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Saori Sakaue Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Yang Luo Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
Saisriram Gurajala Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Aparna Nathan Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Laurie Rumker Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Vitor R. C. Aguiar Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
Cristian Valencia Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Kaitlyn Lagattuta Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Fan Zhang Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Division of Rheumatology and the Center for Health Artificial Intelligence, University of Colorado School of Medicine, Aurora, CO, USA
Anna Helena Jonsson Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Seyhan Yazar Garvan Institute of Medical Research, Sydney, NSW, Australia
Jose Alquicira-Hernandez Garvan Institute of Medical Research, Sydney, NSW, Australia
Hamed Khalili Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
Ashwin N. Ananthakrishnan Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
Karthik Jagadeesh Harvard T. H. Chan School of Public Health, Boston, MA, USA
Kushal Dey Harvard T. H. Chan School of Public Health, Boston, MA, USA
Accelerating Medicines Partnership Program: Rheumatoid Arthritis and Systemic Lupus Erythematosus (AMP RA/SLE) Network
Mark J. Daly Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA The Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
Ramnik J. Xavier Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
Laura T. Donlin Hospital for Special Surgery, New York, NY, USA Weill Cornell Medicine, New York, NY, USA
Jennifer H. Anolik Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
Joseph E. Powell Garvan Institute of Medical Research, Sydney, NSW, Australia
Deepak A. Rao Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Michael B. Brenner Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Maria Gutierrez-Arcelus Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
Soumya Raychaudhuri Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA

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Hu L, He D, Zeng H. Association of parental HLA-G polymorphisms with soluble HLA-G expressions and their roles on recurrent implantation failure: A systematic review and meta-analysis. Front Immunol 2022;13:988370. [PMID: 36532068 PMCID: PMC9751038 DOI: 10.3389/fimmu.2022.988370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 11/14/2022] [Indexed: 12/04/2022] Open

Abstract

Introduction

HLA-G plays a central role in immune tolerance at the maternal-fetal interface. The HLA-G gene is characterized by low allelic polymorphism and restricted tissue expression compared with classical HLA genes. HLA-G polymorphism is associated with HLA-G expression and linked to pregnancy complications. However, the association of parental HLA-G polymorphisms with soluble HLA-G (sHLA-G) expression and their roles in recurrent implantation failure (RIF) is unclear. The study aims to systematically review the association of HLA-G polymorphisms with RIF, the association of sHLA-G expression with RIF, and the association of HLA-G polymorphisms with sHLA-G expressions in patients attending in-vitro fertilization (IVF) treatment.

Methods

Studies that evaluated the association of HLA-G polymorphisms with RIF, the association between sHLA-G expression with RIF, and the association between HLA-G polymorphisms with sHLA-G expressions in patients attending IVF treatment were included. Meta-analysis was performed by random-effect models. Sensitivity analysis was performed by excluding one study each time. Subgroup analysis was performed based on ethnicity.

Results

HLA-G 14bp ins variant is associated with a lower expression of sHLA-G in seminal or blood plasma of couples attending IVF treatment. The maternal HLA-G*010101 and paternal HLA-G*010102 alleles are associated with RIF risk compared to other alleles. However, single maternal HLA-G 14bp ins/del polymorphism, HLA-G -725 C>G/T polymorphism, or circulating sHLA-G concentration was not significantly associated with RIF in the general population. HLA-G 14bp ins/ins homozygous genotype or ins variant was associated with a higher risk of RIF in the Caucasian population.

Discussion

Specific HLA-G alleles or HLA-G polymorphisms are associated with sHLA-G expression in couples attending IVF treatment. Several HLA-G polymorphisms may be related to RIF, considering different ethnic backgrounds. A combined genetic effect should be considered in future studies to confirm the association of HLA-G polymorphisms and sHLA-G expressions in relation to RIF.

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Pollock NR, Harrison GF, Norman PJ. Immunogenomics of Killer Cell Immunoglobulin-Like Receptor (KIR) and HLA Class I: Coevolution and Consequences for Human Health. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2022;10:1763-1775. [PMID: 35561968 PMCID: PMC10038757 DOI: 10.1016/j.jaip.2022.04.036] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/25/2022] [Accepted: 04/26/2022] [Indexed: 12/12/2022]

Alexandrova M, Manchorova D, Dimova T. Immunity at maternal-fetal interface: KIR/HLA (Allo)recognition. Immunol Rev 2022;308:55-76. [PMID: 35610960 DOI: 10.1111/imr.13087] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 04/28/2022] [Accepted: 05/09/2022] [Indexed: 12/15/2022]

Serena C, Clemenza S, Simeone S, Zullino S, Ottanelli S, Rambaldi MP, Vannuccini S, Petraglia F, Mecacci F. Undifferentiated Connective Tissue Disease in Pregnancy: A Topic Yet to be Explored. Front Pharmacol 2022;13:820760. [PMID: 35126164 PMCID: PMC8811283 DOI: 10.3389/fphar.2022.820760] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 01/07/2022] [Indexed: 01/05/2023] Open

Sadovsky Y, Mesiano S, Burton GJ, Lampl M, Murray JC, Freathy RM, Mahadevan-Jansen A, Moffett A, Price ND, Wise PH, Wildman DE, Snyderman R, Paneth N, Capra JA, Nobrega MA, Barak Y, Muglia LJ. Advancing human health in the decade ahead: pregnancy as a key window for discovery: A Burroughs Wellcome Fund Pregnancy Think Tank. Am J Obstet Gynecol 2020;223:312-321. [PMID: 32565236 PMCID: PMC7303037 DOI: 10.1016/j.ajog.2020.06.031] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/07/2020] [Accepted: 06/10/2020] [Indexed: 12/16/2022]

Abstract

Recent revolutionary advances at the intersection of medicine, omics, data sciences, computing, epidemiology, and related technologies inspire us to ponder their impact on health. Their potential impact is particularly germane to the biology of pregnancy and perinatal medicine, where limited improvement in health outcomes for women and children has remained a global challenge. We assembled a group of experts to establish a Pregnancy Think Tank to discuss a broad spectrum of major gestational disorders and adverse pregnancy outcomes that affect maternal-infant lifelong health and should serve as targets for leveraging the many recent advances. This report reflects avenues for future effects that hold great potential in 3 major areas: developmental genomics, including the application of methodologies designed to bridge genotypes, physiology, and diseases, addressing vexing questions in early human development; gestational physiology, from immune tolerance to growth and the timing of parturition; and personalized and population medicine, focusing on amalgamating health record data and deep phenotypes to create broad knowledge that can be integrated into healthcare systems and drive discovery to address pregnancy-related disease and promote general health. We propose a series of questions reflecting development, systems biology, diseases, clinical approaches and tools, and population health, and a call for scientific action. Clearly, transdisciplinary science must advance and accelerate to address adverse pregnancy outcomes. Disciplines not traditionally involved in the reproductive sciences, such as computer science, engineering, mathematics, and pharmacology, should be engaged at the study design phase to optimize the information gathered and to identify and further evaluate potentially actionable therapeutic targets. Information sources should include noninvasive personalized sensors and monitors, alongside instructive "liquid biopsies" for noninvasive pregnancy assessment. Future research should also address the diversity of human cohorts in terms of geography, racial and ethnic distributions, and social and health disparities. Modern technologies, for both data-gathering and data-analyzing, make this possible at a scale that was previously unachievable. Finally, the psychosocial and economic environment in which pregnancy takes place must be considered to promote the health and wellness of communities worldwide.

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Barth C, de Lange AMG. Towards an understanding of women's brain aging: the immunology of pregnancy and menopause. Front Neuroendocrinol 2020;58:100850. [PMID: 32504632 DOI: 10.1016/j.yfrne.2020.100850] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 03/23/2020] [Accepted: 05/20/2020] [Indexed: 02/06/2023]

Sacks G, Finkelstein E. Natural killer cells and reproductive success. Am J Reprod Immunol 2020;85:e13291. [DOI: 10.1111/aji.13291] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 06/15/2020] [Indexed: 12/30/2022] Open

Barbitoff YA, Tsarev AA, Vashukova ES, Maksiutenko EM, Kovalenko LV, Belotserkovtseva LD, Glotov AS. A Data-Driven Review of the Genetic Factors of Pregnancy Complications. Int J Mol Sci 2020;21:ijms21093384. [PMID: 32403311 PMCID: PMC7246997 DOI: 10.3390/ijms21093384] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 05/05/2020] [Accepted: 05/06/2020] [Indexed: 01/01/2023] Open