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Zhang G, Lin W, Gao N, Lan C, Ren M, Yan L, Pan B, Xu J, Han B, Hu L, Chen Y, Wu T, Zhuang L, Lu Q, Wang B, Fang M. Using Machine Learning to Construct the Blood-Follicle Distribution Models of Various Trace Elements and Explore the Transport-Related Pathways with Multiomics Data. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:7743-7757. [PMID: 38652822 DOI: 10.1021/acs.est.3c10904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
Permeabilities of various trace elements (TEs) through the blood-follicle barrier (BFB) play an important role in oocyte development. However, it has not been comprehensively described as well as its involved biological pathways. Our study aimed to construct a blood-follicle distribution model of the concerned TEs and explore their related biological pathways. We finally included a total of 168 women from a cohort of in vitro fertilization-embryo transfer conducted in two reproductive centers in Beijing City and Shandong Province, China. The concentrations of 35 TEs in both serum and follicular fluid (FF) samples from the 168 women were measured, as well as the multiomics features of the metabolome, lipidome, and proteome in both plasma and FF samples. Multiomics features associated with the transfer efficiencies of TEs through the BFB were selected by using an elastic net model and further utilized for pathway analysis. Various machine learning (ML) models were built to predict the concentrations of TEs in FF. Overall, there are 21 TEs that exhibited three types of consistent BFB distribution characteristics between Beijing and Shandong centers. Among them, the concentrations of arsenic, manganese, nickel, tin, and bismuth in FF were higher than those in the serum with transfer efficiencies of 1.19-4.38, while a reverse trend was observed for the 15 TEs with transfer efficiencies of 0.076-0.905, e.g., mercury, germanium, selenium, antimony, and titanium. Lastly, cadmium was evenly distributed in the two compartments with transfer efficiencies of 0.998-1.056. Multiomics analysis showed that the enrichment of TEs was associated with the synthesis and action of steroid hormones and the glucose metabolism. Random forest model can provide the most accurate predictions of the concentrations of TEs in FF among the concerned ML models. In conclusion, the selective permeability through the BFB for various TEs may be significantly regulated by the steroid hormones and the glucose metabolism. Also, the concentrations of some TEs in FF can be well predicted by their serum levels with a random forest model.
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Affiliation(s)
- Guohuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, P. R. China
- Institute of Reproductive and Child Health, School of Public Health, Peking University, Beijing 100191, P. R. China
- Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing 100191, P. R. China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, P. R. China
| | - Weinan Lin
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, P. R. China
- Institute of Reproductive and Child Health, School of Public Health, Peking University, Beijing 100191, P. R. China
- Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing 100191, P. R. China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, P. R. China
| | - Ning Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, P. R. China
- Institute of Reproductive and Child Health, School of Public Health, Peking University, Beijing 100191, P. R. China
- Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing 100191, P. R. China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, P. R. China
| | - Changxin Lan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, P. R. China
- Institute of Reproductive and Child Health, School of Public Health, Peking University, Beijing 100191, P. R. China
- Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing 100191, P. R. China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, P. R. China
| | - Mengyuan Ren
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, P. R. China
- Institute of Reproductive and Child Health, School of Public Health, Peking University, Beijing 100191, P. R. China
- Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing 100191, P. R. China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, P. R. China
| | - Lailai Yan
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing 100191, P. R. China
| | - Bo Pan
- Yunnan Provincial Key Lab of Soil Carbon Sequestration and Pollution Control, Faculty of Environmental Science & Engineering, Kunming University of Science & Technology, Kunming 650500, P. R. China
| | - Jia Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, P. R. China
| | - Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, P. R. China
| | - Ligang Hu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Science, Chinese Academy of Sciences, Beijing 100085, P. R. China
| | - Yuanchen Chen
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310032, P. R. China
| | - Tianxiang Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, P. R. China
- Institute of Reproductive and Child Health, School of Public Health, Peking University, Beijing 100191, P. R. China
- Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing 100191, P. R. China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, P. R. China
| | - Lili Zhuang
- Reproductive Medicine Centre, Yuhuangding Hospital of Yantai, Affiliated Hospital of Qingdao University, Yantai 264000, P. R. China
| | - Qun Lu
- Medical Center for Human Reproduction, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, P.R China
- Center of Reproductive Medicine, Peking University People's Hospital, Beijing 100044, P. R. China
| | - Bin Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, P. R. China
- Institute of Reproductive and Child Health, School of Public Health, Peking University, Beijing 100191, P. R. China
- Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing 100191, P. R. China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, P. R. China
- Laboratory for Earth Surface Processes, College of Urban and Environmental Science, Peking University, Beijing 100871, China
| | - Mingliang Fang
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, P. R. China
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Larsen MD, Jensen DM, Fedder J, Jølving LR, Nørgård BM. Live-born children after assisted reproduction in women with type 1 diabetes and type 2 diabetes: a nationwide cohort study. Diabetologia 2020; 63:1736-1744. [PMID: 32548699 PMCID: PMC7406522 DOI: 10.1007/s00125-020-05193-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 04/23/2020] [Indexed: 01/10/2023]
Abstract
AIMS/HYPOTHESIS Type 1 and type 2 diabetes are among the most prevalent chronic diseases in women in the fertile years and women with diabetes may experience several reproductive issues. We aimed to examine the chance of biochemical pregnancy, clinical pregnancy and live birth after assisted reproductive technology (ART) treatment in women with type 1 and type 2 diabetes and whether obesity per se influenced the results. METHODS This nationwide register-based cohort study is based on the Danish ART Registry comprising 594 women with either type 1 diabetes or type 2 diabetes from 2006 to 2017. RESULTS Relative to women without diabetes, the adjusted OR (95% CI) of a live birth per embryo transfer was 0.50 (0.36, 0.71) in women with type 2 diabetes and 1.10 (0.86, 1.41) in women with type 1 diabetes. CONCLUSIONS/INTERPRETATION Our data on the efficacy of ART treatment in women with type 1 and type 2 diabetes is the first in this field. When compared with women without diabetes, women with type 1 diabetes had an equivalent chance of a live birth per embryo transfer whereas women with type 2 diabetes had a reduced chance. The findings in women with type 2 diabetes did not seem to be driven by obesity per se as the same pattern was seen in both normal-weight and obese women. Graphical abstract.
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Affiliation(s)
- Michael Due Larsen
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Erling Skjalgssons gt. 1, Laboratoriesenteret, 5. etasje, 7491, Trondheim, Norway.
- Center for Clinical Epidemiology, Odense University Hospital, Odense, Denmark.
| | - Dorte Møller Jensen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- Department of Gynecology and Obstetrics, Odense University Hospital, Odense, Denmark
| | - Jens Fedder
- Department D, Centre of Andrology and Fertility Clinic, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Line Riis Jølving
- Center for Clinical Epidemiology, Odense University Hospital, Odense, Denmark
- Research Unit of Clinical Epidemiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Bente Mertz Nørgård
- Center for Clinical Epidemiology, Odense University Hospital, Odense, Denmark
- Research Unit of Clinical Epidemiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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Abstract
Patients with a range of medical disorders, including diabetes mellitus, are increasingly seeking access to assisted reproductive technology (ART). With appropriate patient selection, monitoring and counselling, these technologies may be applied successfully. Diabetes in the female is associated with disturbed ovarian function but strict metabolic control may encourage resumption of ovulation and allow ovarian stimulation for ART. Insulin metabolism appears intimately involved with ovarian function, through mechanisms encompassing the actions of insulin-like growth factors, but is not yet fully understood. Diabetes has minimal effects on spermatogenesis but may severely disrupt erectile and/or ejaculatory function; the techniques of epididymal sperm aspiration and intracytoplasmic sperm injection (ICSI) are particularly useful in such cases. Well-controlled diabetes is not associated with recurrent miscarriage but diabetes is a risk factor for pregnancy-induced hypertension and, poorly controlled, is associated with neonatal macrosomia. In reproduction, as in general health, good metabolic control is key to a successful outcome.
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Affiliation(s)
- Clare T Taylor
- Mechanisms of Drug Toxicity Group, School of Pharmacy, Aston University, Birmingham, B4 7ET, UK,
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Codner E, Merino PM, Tena-Sempere M. Female reproduction and type 1 diabetes: from mechanisms to clinical findings. Hum Reprod Update 2012; 18:568-85. [PMID: 22709979 DOI: 10.1093/humupd/dms024] [Citation(s) in RCA: 109] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The functional reproductive alterations seen in women with type 1 diabetes (T1D) have changed as therapy has improved. Historically, patients with T1D and insufficient metabolic control exhibited a high prevalence of amenorrhea, hypogonadism and infertility. This paper reviews the impact of diabetes on the reproductive axis of female T1D patients treated with modern insulin therapy, with special attention to the mechanisms by which diabetes disrupts hypothalamic-pituitary-ovarian function, as documented mainly by animal model studies. METHODS A comprehensive MEDLINE search of articles published from 1966 to 2012 was performed. Animal model studies on experimental diabetes and human studies on T1D were examined and cross-referenced with terms that referred to different aspects of the gonadotropic axis, gonadotrophins and gonadal steroids. RESULTS Recent studies have shown that women with T1D still display delayed puberty and menarche, menstrual irregularities (especially oligomenorrhoea), mild hyperandrogenism, polycystic ovarian syndrome, fewer live born children and possibly earlier menopause. Animal models have helped us to decipher the underlying basis of these conditions and have highlighted the variable contributions of defective leptin, insulin and kisspeptin signalling to the mechanisms of perturbed reproduction in T1D. CONCLUSIONS Despite improvements in insulin therapy, T1D patients still suffer many reproductive problems that warrant specific diagnoses and therapeutic management. Similar to other states of metabolic stress, T1D represents a challenge to the correct functioning of the reproductive axis.
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Affiliation(s)
- E Codner
- Institute of Maternal and Child Research (IDIMI), School of Medicine, University of Chile, Casilla 226-3, Santiago, Chile.
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