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Gan M, Jing Y, Xie Z, Ma J, Chen L, Zhang S, Zhao Y, Niu L, Wang Y, Li X, Zhu L, Shen L. Potential Function of Testicular MicroRNAs in Heat-Stress-Induced Spermatogenesis Disorders. Int J Mol Sci 2023; 24:ijms24108809. [PMID: 37240155 DOI: 10.3390/ijms24108809] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/08/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
Spermatogenesis is temperature-dependent, and the increase in testicular temperature seriously affects mammalian spermatogenesis and semen quality. In this study, the testicular heat stress model of mice was made with a 43 °C water bath for 25 min, and the effects of heat stress on semen quality and spermatogenesis-related regulators were analyzed. On the 7th day after heat stress, testis weight shrank to 68.45% and sperm density dropped to 33.20%. High-throughput sequencing analysis showed that 98 microRNAs (miRNAs) and 369 mRNAs were down-regulated, while 77 miRNAs and 1424 mRNAs were up-regulated after heat stress. Through gene ontology (GO) analysis of differentially expressed genes and miRNA-mRNA co-expression networks, it was found that heat stress may be involved in the regulation of testicular atrophy and spermatogenesis disorders by affecting cell meiosis process and cell cycle. In addition, through functional enrichment analysis, co-expression regulatory network, correlation analysis and in vitro experiment, it was found that miR-143-3p may be a representative potential key regulatory factor affecting spermatogenesis under heat stress. In summary, our results enrich the understanding of miRNAs in testicular heat stress and provide a reference for the prevention and treatment of heat-stress-induced spermatogenesis disorders.
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Affiliation(s)
- Mailin Gan
- Key Laboratory of Livestock and Poultry Multi-Omics, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Yunhong Jing
- Key Laboratory of Livestock and Poultry Multi-Omics, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Zhongwei Xie
- Key Laboratory of Livestock and Poultry Multi-Omics, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Jianfeng Ma
- Key Laboratory of Livestock and Poultry Multi-Omics, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Lei Chen
- Key Laboratory of Livestock and Poultry Multi-Omics, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Shunhua Zhang
- Key Laboratory of Livestock and Poultry Multi-Omics, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Ye Zhao
- Key Laboratory of Livestock and Poultry Multi-Omics, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Lili Niu
- Key Laboratory of Livestock and Poultry Multi-Omics, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Yan Wang
- Key Laboratory of Livestock and Poultry Multi-Omics, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Xuewei Li
- Key Laboratory of Livestock and Poultry Multi-Omics, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Li Zhu
- Key Laboratory of Livestock and Poultry Multi-Omics, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Linyuan Shen
- Key Laboratory of Livestock and Poultry Multi-Omics, College of Animal and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
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Selzer EB, Blain D, Hufnagel RB, Lupo PJ, Mitchell LE, Brooks BP. Review of Evidence for Environmental Causes of Uveal Coloboma. Surv Ophthalmol 2021; 67:1031-1047. [PMID: 34979194 DOI: 10.1016/j.survophthal.2021.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 12/22/2021] [Accepted: 12/27/2021] [Indexed: 10/19/2022]
Abstract
Uveal coloboma is a condition defined by missing ocular tissues and is a significant cause of childhood blindness. It occurs from a failure of the optic fissure to close during embryonic development,and may lead to missing parts of the iris, ciliary body, retina, choroid, and optic nerve. Because there is no treatment for coloboma, efforts have focused on prevention. While several genetic causes of coloboma have been identified, little definitive research exists regarding the environmental causes of this condition. We review the current literature on environmental factors associated with coloboma in an effort to guide future research and preventative counseling related to this condition.
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Affiliation(s)
- Evan B Selzer
- Ophthalmic Genetics & Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Delphine Blain
- Ophthalmic Genetics & Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Robert B Hufnagel
- Ophthalmic Genetics & Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Philip J Lupo
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX
| | - Laura E Mitchell
- Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, TX
| | - Brian P Brooks
- Ophthalmic Genetics & Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD.
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Moreno-Sepulveda J, Espinós JJ, Checa MA. Lower risk of adverse perinatal outcomes in natural versus artificial frozen-thawed embryo transfer cycles: a systematic review and meta-analysis. Reprod Biomed Online 2021; 42:1131-1145. [PMID: 33903031 DOI: 10.1016/j.rbmo.2021.03.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 02/23/2021] [Accepted: 03/01/2021] [Indexed: 12/28/2022]
Abstract
This systematic review of literature and meta-analysis of observational studies reports on perinatal outcomes after frozen embryo transfer (FET). The aim was to determine whether natural cycle frozen embryo transfer (NC-FET) in singleton pregnancies conceived after IVF decreased the risk of adverse perinatal outcomes compared with artificial cycle frozen embryo transfer (AC-FET). Thirteen cohort studies, including 93,201 cycles, met the inclusion criteria. NC-FET was associated with a lower risk of hypertensive disorders in pregnancy (HDP) (RR 0.61, 95% CI 0.50 to 0.73), preeclampsia (RR 0.47, 95% CI 0.42 to 0.53), large for gestational age (LGA) (RR 0.93, 95% CI 0.90 to 0.96) and macrosomia (RR 0.82, 95% CI 0.69 to 0.97) compared with AC-FET. No significant difference was found in the risk of gestational hypertension and small for gestational age. Secondary outcomes assessed were the risk of preterm birth (RR 0.83, 95% CI 0.79 to 0.88); post-term birth (RR 0.48, 95% CI 0.29 to 0.80); low birth weight (RR 0.84, 95% CI 0.80 to 0.89); caesarean section (RR 0.84, 95% CI 0.77 to 0.91); postpartum haemorrhage (RR 0.39, 95% CI 0.35 to 0.45); placental abruption (RR 0.61, 95% CI 0.38 to 0.98); and placenta accreta (RR 0.18, 95% CI 0.10 to 0.33). All were significantly lower with NC-FET compared with AC-FET. In assessing safety, NC-FET significantly decreased the risk of HDP, preeclampsia, LGA, macrosomia, preterm birth, post-term birth, low birth weight, caesarean section, postpartum haemorrhage, placental abruption and placenta accreta. Further randomized controlled trials addressing the effect of NC-FET and AC-FET on maternal and perinatal outcomes are warranted. Clinicians should carefully monitor pregnancies achieved by FET in artificial cycles prenatally, during labour and postnatally.
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Affiliation(s)
- José Moreno-Sepulveda
- Obstetrics and Gynecology Department, Universitat Autònoma de Barcelona, Campus Universitario UAB, Bellaterra Cerdanyola del Vallès 08193, Spain; Clínica de la Mujer Medicina Reproductiva, Alejandro Navarrete 2606, Viña del Mar, Chile.
| | - Juan Jose Espinós
- Obstetrics and Gynecology Department, Universitat Autònoma de Barcelona, Campus Universitario UAB, Bellaterra Cerdanyola del Vallès 08193, Spain; Fertty International, Carrer d'Ausiàs Marc, 25, Barcelona 08010, Spain; Department of Obstetrics and Gynaecology, Hospital de la Santa Creu i Sant Pau, Carrer de Sant Quintí, 89 Barcelona 08041, Spain
| | - Miguel Angel Checa
- Obstetrics and Gynecology Department, Universitat Autònoma de Barcelona, Campus Universitario UAB, Bellaterra Cerdanyola del Vallès 08193, Spain; Fertty International, Carrer d'Ausiàs Marc, 25, Barcelona 08010, Spain; GRI-BCN, Barcelona Infertility Research Group, IMIM, Institut Hospital del Mar d'Investigacions Mèdiques, Carrer del Dr. Aiguader, 88, Barcelona 08003, Spain
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Pisarska MD, Chan JL, Lawrenson K, Gonzalez TL, Wang ET. Genetics and Epigenetics of Infertility and Treatments on Outcomes. J Clin Endocrinol Metab 2019; 104:1871-1886. [PMID: 30561694 PMCID: PMC6463256 DOI: 10.1210/jc.2018-01869] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 12/12/2018] [Indexed: 02/08/2023]
Abstract
CONTEXT Infertility affects 10% of the reproductive-age population. Even the most successful treatments such as assisted reproductive technologies still result in failed implantation. In addition, adverse pregnancy outcomes associated with infertility have been attributed to these fertility treatments owing to the presumed epigenetic modifications of in vitro fertilization and in vitro embryo development. However, the diagnosis of infertility has been associated with adverse outcomes, and the etiologies leading to infertility have been associated with adverse pregnancy and long-term outcomes. EVIDENCE ACQUISITION We have comprehensively summarized the data available through observational, experimental, cohort, and randomized studies to better define the effect of the underlying infertility diagnosis vs the epigenetics of infertility treatments on treatment success and overall outcomes. EVIDENCE SYNTHESIS Most female infertility results from polycystic ovary syndrome, endometriosis, and unexplained infertility, with some cases resulting from a polycystic ovary syndrome phenotype or underlying endometriosis. In addition to failed implantation, defective implantation can lead to problems with placentation that leads to adverse pregnancy outcomes, affecting both mother and fetus. CONCLUSION Current research, although limited, has suggested that genetics and epigenetics of infertility diagnosis affects disease and overall outcomes. In addition, other fertility treatments, which also lead to adverse outcomes, are aiding in the identification of factors, including the supraphysiologic hormonal environment, that might affect the overall success and healthy outcomes for mother and child. Further studies, including genome-wide association studies, epigenomics studies, and experimental studies, are needed to better identify the factors leading to these outcomes.
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Affiliation(s)
- Margareta D Pisarska
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California
- David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Jessica L Chan
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California
| | - Kate Lawrenson
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California
| | - Tania L Gonzalez
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California
| | - Erica T Wang
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California
- David Geffen School of Medicine at UCLA, Los Angeles, California
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Sun T, Lee B, Kinchen J, Wang ET, Gonzalez TL, Chan JL, Rotter JI, Chen YDI, Taylor K, Goodarzi MO, Rich SS, Farber CR, Williams J, Pisarska MD. Differences in First-Trimester Maternal Metabolomic Profiles in Pregnancies Conceived From Fertility Treatments. J Clin Endocrinol Metab 2019; 104:1005-1019. [PMID: 30445606 PMCID: PMC6373171 DOI: 10.1210/jc.2018-01118] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2018] [Accepted: 11/12/2018] [Indexed: 02/06/2023]
Abstract
CONTEXT Maternal metabolic status reflects underlying physiological changes in the maternal-placental-fetal unit that may help identify contributors to adverse pregnancy outcomes associated with infertility and treatments used. OBJECTIVE To determine if maternal metabolomic profiles differ between spontaneous pregnancies and pregnancies conceived with fertility treatments that may explain the differences in pregnancy outcomes. DESIGN Metabolon metabolomic analysis and ELISAs for 17-β-estradiol and progesterone were performed during the late first trimester of pregnancy. SETTING Academic institution. SUBJECTS Women in the Spontaneous/Medically Assisted/Assisted Reproductive Technology cohort (N = 409), 208 of whom conceived spontaneously and 201 with infertility [non in vitro fertilization treatments (NIFT), n=90; in vitro fertilization (IVF), n=111]. INTERVENTION Mode of conception. MAIN OUTCOME MEASURES Levels of of 806 metabolites within eight superpathways, 17-β-estradiol, and progesterone in maternal plasma in the late first trimester. RESULTS Metabolomic differences in the lipid superpathway (i.e., steroid metabolites, lipids with docosahexaenoyl acyl chains, acyl cholines), and xanthine and benzoate metabolites (P < 0.05) were significant among the spontaneous and two infertility groups, with greatest differences between the spontaneous and IVF groups. 17-β-estradiol and progesterone levels were significantly elevated in the infertility groups, with greatest differences between the spontaneous and IVF groups. CONCLUSION Metabolomic profiles differ between spontaneous and infertility pregnancies, likely driven by IVF. Higher levels of steroids and their metabolites are likely due to increased hormone production from placenta reprogrammed from fertility treatments, which may contribute to adverse outcomes associated with infertility and the treatments used.
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Affiliation(s)
- Tianyanxin Sun
- Division of Reproductive Endocrinology and Infertility, Center for Reproductive Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Bora Lee
- Division of Reproductive Endocrinology and Infertility, Center for Reproductive Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | | | - Erica T Wang
- Division of Reproductive Endocrinology and Infertility, Center for Reproductive Medicine, Cedars-Sinai Medical Center, Los Angeles, California
- David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - Tania L Gonzalez
- Division of Reproductive Endocrinology and Infertility, Center for Reproductive Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Jessica L Chan
- Division of Reproductive Endocrinology and Infertility, Center for Reproductive Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Jerome I Rotter
- LA Biomed/Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Yii-Der Ida Chen
- LA Biomed/Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Kent Taylor
- LA Biomed/Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Mark O Goodarzi
- David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Charles R Farber
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - John Williams
- Division of Reproductive Endocrinology and Infertility, Center for Reproductive Medicine, Cedars-Sinai Medical Center, Los Angeles, California
- David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - Margareta D Pisarska
- Division of Reproductive Endocrinology and Infertility, Center for Reproductive Medicine, Cedars-Sinai Medical Center, Los Angeles, California
- David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
- Correspondence and Reprint Requests: Margareta D. Pisarska, MD, Cedars-Sinai Medical Center, 8635 West Third Street, Suite 160, Los Angeles, California 90048. E-mail:
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Ghosh J, Schultz B, Coutifaris C, Sapienza C. Highly variant DNA methylation in normal tissues identifies a distinct subclass of cancer patients. Adv Cancer Res 2019; 142:1-22. [PMID: 30885359 DOI: 10.1016/bs.acr.2019.01.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The "CpG Island Methylator Phenotype" (CIMP) has been found to be a useful concept in stratifying several types of human cancer into molecularly and clinically distinguishable subgroups. We have identified an additional epigenetic stratification category, the "Outlier Methylation Phenotype" (OMP). Whereas CIMP is defined on the basis of hyper-methylation in tumor genomes, OMP is defined on the basis of highly variant (either or both hyper- and hypo-methylation) methylation at many sites in normal tissues. OMP was identified and defined, originally, as being more common among low birth weight individuals conceived in vitro but we have also identified OMP individuals among colon cancer patients profiled by us, as well as multiple types of cancer patients in the TCGA database. The cause(s) of OMP are unknown, as is whether these individuals identify a clinically useful subgroup of patients, but both the causes of, and potential consequences to, this epigenetically distinct group are of great interest.
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Affiliation(s)
- Jayashri Ghosh
- Fels Institute of Cancer Research and Molecular Biology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, United States
| | - Bryant Schultz
- Fels Institute of Cancer Research and Molecular Biology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, United States
| | - Christos Coutifaris
- Department of Obstetrics & Gynecology, University of Pennsylvania School of Medicine, Philadelphia, PA, United States
| | - Carmen Sapienza
- Fels Institute of Cancer Research and Molecular Biology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, United States; Department of Pathology and Laboratory Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, United States.
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