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Tang ID, Mallia D, Yan Q, Pe'er I, Raja A, Salleb-Aouissi A, Wapner R. A Scoping Review of Preterm Birth Risk Factors. Am J Perinatol 2024; 41:e2804-e2817. [PMID: 37748506 DOI: 10.1055/s-0043-1775564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Preterm birth is a major cause of neonatal morbidity and mortality, but its etiology and risk factors are poorly understood. We undertook a scoping review to illustrate the breadth of risk factors for preterm birth that have been reported in the literature. We conducted a search in the PubMed database for articles published in the previous 5 years. We determined eligibility for this scoping review by screening titles and abstracts, followed by full-text review. We extracted odds ratios and other measures of association for each identified risk factor in the articles. A total of 2,509 unique articles were identified from the search, of which 314 were eligible for inclusion in our final analyses. We summarized risk factors and their relative impacts in the following categories: Activity, Psychological, Medical History, Toxicology, Genetics, and Vaginal Microbiome. Many risk factors for preterm birth have been reported. It is challenging to synthesize findings given the multitude of isolated risk factors that have been studied, inconsistent definitions of risk factors and outcomes, and use of different covariates in analyses. Novel methods of analyzing large datasets may promote a more comprehensive understanding of the etiology of preterm birth and ability to predict the outcome. KEY POINTS: · Preterm birth is difficult to predict.. · Preterm birth has many diverse risk factors.. · Holistic approaches may yield new insights..
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Affiliation(s)
- Irene D Tang
- Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Daniel Mallia
- Department of Computer Science, Hunter College, New York, New York
| | - Qi Yan
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York
| | - Itsik Pe'er
- Department of Computer Science, Columbia University, New York, New York
| | - Anita Raja
- Department of Computer Science, Hunter College, New York, New York
| | | | - Ronald Wapner
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York
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2
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Mead EC, Wang CA, Phung J, Fu JY, Williams SM, Merialdi M, Jacobsson B, Lye S, Menon R, Pennell CE. The Role of Genetics in Preterm Birth. Reprod Sci 2023; 30:3410-3427. [PMID: 37450251 PMCID: PMC10692032 DOI: 10.1007/s43032-023-01287-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/09/2023] [Indexed: 07/18/2023]
Abstract
Preterm birth (PTB), defined as the birth of a child before 37 completed weeks gestation, affects approximately 11% of live births and is the leading cause of death in children under 5 years. PTB is a complex disease with multiple risk factors including genetic variation. Much research has aimed to establish the biological mechanisms underlying PTB often through identification of genetic markers for PTB risk. The objective of this review is to present a comprehensive and updated summary of the published data relating to the field of PTB genetics. A literature search in PubMed was conducted and English studies related to PTB genetics were included. Genetic studies have identified genes within inflammatory, immunological, tissue remodeling, endocrine, metabolic, and vascular pathways that may be involved in PTB. However, a substantial proportion of published data have been largely inconclusive and multiple studies had limited power to detect associations. On the contrary, a few large hypothesis-free approaches have identified and replicated multiple novel variants associated with PTB in different cohorts. Overall, attempts to predict PTB using single "-omics" datasets including genomic, transcriptomic, and epigenomic biomarkers have been mostly unsuccessful and have failed to translate to the clinical setting. Integration of data from multiple "-omics" datasets has yielded the most promising results.
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Affiliation(s)
- Elyse C Mead
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia
| | - Carol A Wang
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, 2305, Australia
| | - Jason Phung
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, 2305, Australia
- Department of Maternity and Gynaecology, John Hunter Hospital, Newcastle, NSW, 2305, Australia
| | - Joanna Yx Fu
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia
| | - Scott M Williams
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Mario Merialdi
- Maternal Newborn Health Innovations, Geneva, PBC, Switzerland
| | - Bo Jacobsson
- Department of Obstetrics and Gynaecology, Institute of Clinical Science, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Obstetrics and Gynaecology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalization, Institute of Public Health, Oslo, Norway
| | - Stephen Lye
- Lunenfeld Tanenbaum Research Institute, Toronto, Ontario, Canada
| | - Ramkumar Menon
- Department of Obstetrics and Gynecology, Division of Basic Science and Translational Research, University of Texas Medical Branch, Galveston, TX, USA
| | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia.
- Hunter Medical Research Institute, Newcastle, NSW, 2305, Australia.
- Department of Maternity and Gynaecology, John Hunter Hospital, Newcastle, NSW, 2305, Australia.
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3
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Huang G, Yao D, Yan X, Zheng M, Yan P, Chen X, Wang D. Emerging role of toll-like receptors signaling and its regulators in preterm birth: a narrative review. Arch Gynecol Obstet 2023; 308:319-339. [PMID: 35916961 DOI: 10.1007/s00404-022-06701-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 07/03/2022] [Indexed: 11/02/2022]
Abstract
INTRODUCTION Despite intensive research, preterm birth (PTB) rates have not decreased significantly in recent years due to a lack of understanding of the underlying causes and insufficient treatment options for PTB. We are committed to finding promising biomarkers for the treatment of PTB. METHODS An extensive search of the literature was conducted with MEDLINE/PubMed, and in total, 151 studies were included and summarized in the present review. RESULTS Substantial evidence supports that the infection and/or inflammatory cascade associated with infection is an early event in PTB. Toll-like receptor (TLR) is a prominent pattern recognition receptor (PRR) found on both immune and non-immune cells, including fetal membrane cells. The activation of TLR downstream molecules, followed by TLR binding to its ligand, is critical for infection and inflammation, leading to the involvement of the TLR signaling pathway in PTB. TLR ligands are derived from microbial components and molecules released by damaged and dead cells. Particularly, TLR4 is an essential TLR because of its ability to recognize lipopolysaccharide (LPS). In this comprehensive overview, we discuss the role of TLR signaling in PTB, focus on numerous host-derived genetic and epigenetic regulators of the TLR signaling pathway, and cover ongoing research and prospective therapeutic options for treating PTB by inhibiting TLR signaling. CONCLUSION This is a critical topic because TLR-related molecules and mechanisms may enable obstetricians to better understand the physiological changes in PTB and develop new treatment and prevention strategies.
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Affiliation(s)
- Ge Huang
- Department of Gynecology and Obstetrics, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Dan Yao
- Department of Gynecology and Obstetrics, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaoli Yan
- Department of Gynecology and Obstetrics, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Mingyu Zheng
- Department of Pharmacy, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Ping Yan
- Department of Gynecology and Obstetrics, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaoxia Chen
- Department of Gynecology and Obstetrics, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Dan Wang
- Department of Gynecology and Obstetrics, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
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4
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Elias D, Gimenez L, Poletta F, Campaña H, Gili J, Ratowiecki J, Pawluk M, Rittler M, Santos MR, Uranga R, Heisecke SL, Cosentino V, Saleme C, Gadow E, Krupitzki H, Camelo JSL. Preterm birth and genitourinary tract infections: assessing gene-environment interaction. Pediatr Res 2021; 90:678-683. [PMID: 33070163 DOI: 10.1038/s41390-020-01200-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 08/20/2020] [Accepted: 08/25/2020] [Indexed: 11/09/2022]
Abstract
BACKGROUND Preterm birth (PTB) is the leading cause of perinatal morbimortality worldwide. Genetic and environmental factors could raise PTB risk. The aim of this study was to analyze the contribution of the statistical interaction between genes and vaginal-urinary tract infections (VI-UTI) to the risk of PTB by clinical subtype. METHODS Twenty-four SNPs were genotyped in 18 candidate genes from 352 fetal triads and 106 maternal triads. Statistical interactions were evaluated with conditional logistic regression models based on genotypic transmission/disequilibrium test. RESULTS In PTB-idiopathic subtype mothers exposed to UTI, fetal SNPs rs11686474 (FSHR), rs4458044 (CRHR1, allele G), rs883319 (KCNN3), and maternal SNP rs1882435 (COL4A3) showed a nominal significant increment in prematurity risk. In preterm premature rupture of membranes (PPROM), fetal SNP rs2277698 (TIMP2) showed a nominal significant risk increment. In mothers exposed to VI, fetal SNP rs5742612 (IGF1) in PTB-PPROM and maternal SNP rs4458044 (CRHR1, allele C) in spontaneous PTB showed nominal significant increment in prematurity risk. CONCLUSIONS Certain maternal and fetal genes linked to infectious/inflammatory and hormonal regulation processes increase prematurity risk according to clinical subtype when mothers are exposed to UTI or VI. These findings may help in the understanding of PTB etiology and PTB prevention. IMPACT Preterm birth is a major cause of perinatal morbimortality worldwide and its etiology remains unknown. This work provides evidence on the statistical interaction of six genes with gestational vaginal or urinary infections leading to the occurrence of preterm births. Statistical interactions vary according to infection type, genotype (maternal and fetal), and clinical subtype of prematurity. Certain maternal and fetal genetic variants of genes linked to infectious/inflammatory and hormonal regulation processes would increase the risk of prematurity according to clinical subtype and infection type. Our findings may help in the study of etiology of preterm birth and its prevention.
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Affiliation(s)
- Dario Elias
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.,Estudio Colaborativo Latino Americano de Malformaciones Congénitas, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina
| | - Lucas Gimenez
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.,Estudio Colaborativo Latino Americano de Malformaciones Congénitas, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina.,Instituto Nacional de Genética Médica Populacional, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina
| | - Fernando Poletta
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.,Estudio Colaborativo Latino Americano de Malformaciones Congénitas, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina.,Instituto Nacional de Genética Médica Populacional, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina
| | - Hebe Campaña
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.,Estudio Colaborativo Latino Americano de Malformaciones Congénitas, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina.,Comisión de Investigaciones Científicas, Buenos Aires, Argentina
| | - Juan Gili
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.,Estudio Colaborativo Latino Americano de Malformaciones Congénitas, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina.,Instituto Académico Pedagógico de Ciencias Humanas, Universidad Nacional de Villa María, Córdoba, Argentina
| | - Julia Ratowiecki
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.,Estudio Colaborativo Latino Americano de Malformaciones Congénitas, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina
| | - Mariela Pawluk
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.,Estudio Colaborativo Latino Americano de Malformaciones Congénitas, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina
| | - Monica Rittler
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.,Estudio Colaborativo Latino Americano de Malformaciones Congénitas, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina.,Hospital Materno Infantil Ramón Sarda, Buenos Aires, Argentina
| | - Maria R Santos
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.,Estudio Colaborativo Latino Americano de Malformaciones Congénitas, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina.,Comisión de Investigaciones Científicas, Buenos Aires, Argentina.,Instituto Multidisciplinario de Biología Celular, Buenos Aires, Argentina
| | - Rocio Uranga
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.,Estudio Colaborativo Latino Americano de Malformaciones Congénitas, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina.,Hospital San Juan de Dios, Buenos Aires, Argentina
| | - Silvina L Heisecke
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina
| | - Viviana Cosentino
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.,Estudio Colaborativo Latino Americano de Malformaciones Congénitas, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina
| | - Cesar Saleme
- Instituto de Maternidad y Ginecología Nuestra Señora de las Mercedes, Tucumán, Argentina
| | - Enrique Gadow
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina
| | - Hugo Krupitzki
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina
| | - Jorge S Lopez Camelo
- Laboratorio de Epidemiología Genética Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina. .,Estudio Colaborativo Latino Americano de Malformaciones Congénitas, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina. .,Instituto Nacional de Genética Médica Populacional, CEMIC-CONICET, Ciudad Autónoma de Buenos Aires, Argentina.
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5
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Guo C, Yu H, Feng G, Lv Q, Liu X, Liu X. Associations of FSHR and LHCGR gene variants with ovarian reserve and clinical pregnancy rates. Reprod Biomed Online 2021; 43:561-569. [PMID: 34391684 DOI: 10.1016/j.rbmo.2021.06.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 06/06/2021] [Accepted: 06/15/2021] [Indexed: 01/18/2023]
Abstract
RESEARCH QUESTION Are there any associations between the variants of FSHR c.2039 G>A (p. Ser680Asn, rs6166) and LHCGR c.935A>G (p. Asn312Ser, rs2293275) and ovarian reserve, ovarian response, clinical pregnancy rate and POSEIDON group? DESIGN A total of 210 infertile women were enrolled in this prospective study. The gene variants were analysed by the Sanger method. The clinical parameters were analysed based on genotypes. RESULTS The frequency of heterozygous and homozygous G allele for FSHR c.2039 G>A in the low prognosis group was significantly higher than that in other response groups (P = 0.034); there was no significant association between LHCGR c.935 A>G and ovarian response. Moreover, the serum anti-Müllerian hormone (AMH) concentration, antral follicle count (AFC), oocytes retrieved, metaphase II (MII) oocytes and two-pronuclear (2PN) oocytes in patients with AG genotype for FSHR c.2039 G>A were significantly lower than those with AA genotype. The serum LH concentrations and clinical pregnancy rate of fresh embryo transfer in patients with GG genotype for LHCGR c.935 A>G were significantly higher than that of the AG genotype. In POSEIDON analysis, the low prognosis women with AA genotype for FSHR c.2039 G>A were more likely to appear in subgroup 1 (P = 0.038). CONCLUSION The FSHR c.2039 G>A variant has a significant beneficial influence on ovarian reserve and ovarian response. The LHCGR c.935 A>G variant is associated with increased clinical pregnancy rate of fresh embryo transfer in infertile women. In addition, the low prognosis women with AA genotype for FSHR c.2039 G>A tend to show better ovarian reserve and prognosis.
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Affiliation(s)
- Chun Guo
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China; Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu 610072, China
| | | | - Guimei Feng
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China; Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu 610072, China
| | - Qun Lv
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China; Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu 610072, China
| | - Xiaoqi Liu
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu 610072, China; Sichuan Provincial Key Laboratory for Human Disease Gene Study; Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital; Department of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital; School of Medicine, University of Electronic Science and Technology of China.
| | - Xiangqin Liu
- Department of Laboratory Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
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6
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García-Jiménez G, Zariñán T, Rodríguez-Valentín R, Mejía-Domínguez NR, Gutiérrez-Sagal R, Hernández-Montes G, Tovar A, Arechavaleta-Velasco F, Canto P, Granados J, Moreno-Macias H, Tusié-Luna T, Pellicer A, Ulloa-Aguirre A. Frequency of the T307A, N680S, and -29G>A single-nucleotide polymorphisms in the follicle-stimulating hormone receptor in Mexican subjects of Hispanic ancestry. Reprod Biol Endocrinol 2018; 16:100. [PMID: 30340493 PMCID: PMC6195735 DOI: 10.1186/s12958-018-0420-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 10/09/2018] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND FSHR SNPs may influence the ovarian sensitivity to endogenous and exogenous FSH stimulation. Given the paucity of data on the FSHR c.919A > G, c.2039A > G and - 29G > A SNPs in Hispanic population, we here analyzed their frequency distribution in Mexican mestizo women. METHODS Samples from 224 Mexican mestizo women enrolled in an IVF program as well as a genotype database from 8182 Mexican mestizo subjects, were analyzed for FSHR SNPs at positions c.919, c.2039 and - 29G > A. Association between the genetic variants and reproductive outcomes was assessed. RESULTS The c.919 and c.2039 SNPs were in strong linkage disequilibrium and their corresponding genotype frequencies in the IVF group were: AA 46.8%, AG 44.2%, and GG 8.9%, and AA 41.9%, AG 48.2% and GG 9.8%, respectively. For the -29G > A SNP, genotype frequencies were 27% (GG), 50% (GA) and 23% (AA). In normal oocyte donors with the c.2039 GG genotype, the number of oocytes recovered after ovarian stimulation (COS) were significantly (p < 0.01) lower than in those bearing other genotypes in this or the -29G > A SNP. Analysis of the large scale database revealed that both allelic and genotype frequencies for the three SNPs were very similar to those detected in the IVF cohort (p ≥ 0.38) and that female carriers of the c.2039 G allele tended to present lower number of pregnancies than women bearing the AA genotype; this trend was stronger when women with more Native American ancestry was separately analyzed (OR = 2.0, C.I. 95% 1.03-3.90, p = 0.04). There were no differences or trends in the number of pregnancies among the different genotypes of the -29G > A SNP. CONCLUSIONS The frequency of the GG/GG combination genotype for the c.919 and c.2039 SNPs in Mexican hispanics is among the lowest reported. The GG genotype is associated with decreased number of oocytes recovered in response to COS as well as to lower pregnancy rates in Hispanic women from the general population. The absence of any effect of the -29AA genotype on the response to COS, indicates that there is no need to perform this particular genotype testing in Hispanic women with the purpose of providing an individually-tailored COS protocol.
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Affiliation(s)
- Gabriela García-Jiménez
- Instituto Valenciano de Infertilidad (IVINSEMER), Thiers 96, Col. Nueva Anzurez, CP 11590 Mexico City, Mexico
| | - Teresa Zariñán
- 0000 0001 2159 0001grid.9486.3Red de Apoyo a la Investigación (RAI), Coordinación de la Investigación Científica, Universidad Nacional Autónoma de México (UNAM)-Instituto Nacional de Ciencias Médicas y Nutrición SZ (INCMNSZ), Calle Vasco de Quiroga 15, Tlalpan, 14000 Ciudad de Mexico, Mexico
| | - Rocío Rodríguez-Valentín
- 0000 0004 1773 4764grid.415771.1Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Av. Universidad 655, CP 62100 Cuernavaca, Mor Mexico
| | - Nancy R. Mejía-Domínguez
- 0000 0001 2159 0001grid.9486.3Red de Apoyo a la Investigación (RAI), Coordinación de la Investigación Científica, Universidad Nacional Autónoma de México (UNAM)-Instituto Nacional de Ciencias Médicas y Nutrición SZ (INCMNSZ), Calle Vasco de Quiroga 15, Tlalpan, 14000 Ciudad de Mexico, Mexico
| | - Rubén Gutiérrez-Sagal
- 0000 0001 2159 0001grid.9486.3Red de Apoyo a la Investigación (RAI), Coordinación de la Investigación Científica, Universidad Nacional Autónoma de México (UNAM)-Instituto Nacional de Ciencias Médicas y Nutrición SZ (INCMNSZ), Calle Vasco de Quiroga 15, Tlalpan, 14000 Ciudad de Mexico, Mexico
| | - Georgina Hernández-Montes
- 0000 0001 2159 0001grid.9486.3Red de Apoyo a la Investigación (RAI), Coordinación de la Investigación Científica, Universidad Nacional Autónoma de México (UNAM)-Instituto Nacional de Ciencias Médicas y Nutrición SZ (INCMNSZ), Calle Vasco de Quiroga 15, Tlalpan, 14000 Ciudad de Mexico, Mexico
| | - Armando Tovar
- 0000 0001 0698 4037grid.416850.eDepartment of Physiology of Nutrition, INCMNSZ, Mexico City, Mexico
| | - Fabián Arechavaleta-Velasco
- Research Unit in Reproductive Medicine, UMAE Hospital de Ginecoobstetricia “Luis Castelazo Ayala”, Río de la Magdalena 289, Tizapán San Ángel, Mexico City, 01090 Mexico
| | - Patricia Canto
- 0000 0001 2159 0001grid.9486.3Facultad de Medicina, UNAM, Ciudad Universitaria, Mexico City, Mexico
| | - Julio Granados
- 0000 0001 0698 4037grid.416850.eDepartment of Transplantation, INCMNSZ, Mexico City, Mexico
| | - Hortensia Moreno-Macias
- 0000 0001 2157 0393grid.7220.7Universidad Autónoma Metropolitana-Iztapalapa, Av. San Rafael Atlixco 186, Leyes de Reforma 1ra. Secc., Mexico City, 09340 Mexico
| | - Teresa Tusié-Luna
- Unidad de Biología Molecular y Medicina Genómica, UNAM-INCMNSZ, Mexico City, Mexico
| | - Antonio Pellicer
- Instituto Valenciano de Infertilidad (IVINSEMER), Thiers 96, Col. Nueva Anzurez, CP 11590 Mexico City, Mexico
| | - Alfredo Ulloa-Aguirre
- 0000 0001 2159 0001grid.9486.3Red de Apoyo a la Investigación (RAI), Coordinación de la Investigación Científica, Universidad Nacional Autónoma de México (UNAM)-Instituto Nacional de Ciencias Médicas y Nutrición SZ (INCMNSZ), Calle Vasco de Quiroga 15, Tlalpan, 14000 Ciudad de Mexico, Mexico
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Sayers N, Hanyaloglu AC. Intracellular Follicle-Stimulating Hormone Receptor Trafficking and Signaling. Front Endocrinol (Lausanne) 2018; 9:653. [PMID: 30450081 PMCID: PMC6225286 DOI: 10.3389/fendo.2018.00653] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 10/17/2018] [Indexed: 12/18/2022] Open
Abstract
Models of G protein-coupled receptor (GPCR) signaling have dramatically altered over the past two decades. Indeed, GPCRs such as the follicle-stimulating hormone receptor (FSHR) have contributed to these new emerging models. We now understand that receptor signaling is highly organized at a spatial level, whereby signaling not only occurs from the plasma membrane but distinct intracellular compartments. Recent studies in the role of membrane trafficking and spatial organization of GPCR signaling in regulating gonadotropin hormone receptor activity has identified novel intracellular compartments, which are tightly linked with receptor signaling and reciprocally regulated by the cellular trafficking machinery. Understanding the impact of these cell biological mechanisms to physiology and pathophysiology is emerging for certain GPCRs. However, for FSHR, the potential impact in both health and disease and the therapeutic possibilities of these newly identified systems is currently unknown, but offers the potential to reassess prior strategies, or unveil novel opportunities, in targeting this receptor.
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