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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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Oocyte Selection for In Vitro Embryo Production in Bovine Species: Noninvasive Approaches for New Challenges of Oocyte Competence. Animals (Basel) 2020; 10:ani10122196. [PMID: 33255250 PMCID: PMC7760727 DOI: 10.3390/ani10122196] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 12/13/2022] Open
Abstract
Simple Summary The efficiency of producing embryos using in vitro technologies in cattle species remains lower when compared to mice, indicating that the proportion of female gametes that fail to develop after in vitro manipulation is considerably large. Considering that the intrinsic quality of the oocyte is one of the main factors affecting embryo production, the precise identification of noninvasive markers that predict oocyte competence is of major interest. The aim of this review was to explore the current literature on different noninvasive markers associated with oocyte quality in the bovine model. Apart from some controversial findings, the presence of cycle-related structures in ovaries, a follicle size between 6 and 10 mm, a large slightly expanded investment without dark areas, large oocyte diameter (>120 microns), dark cytoplasm, and the presence of a round and smooth first polar body have been associated with better embryonic development. In addition, the combination of oocyte and zygote selection, spindle imaging, and the anti-Stokes Raman scattering microscopy together with studies decoding molecular cues in oocyte maturation have the potential to further optimize the identification of oocytes with better developmental competence for in vitro technologies in livestock species. Abstract The efficiency of producing embryos using in vitro technologies in livestock species rarely exceeds the 30–40% threshold, indicating that the proportion of oocytes that fail to develop after in vitro fertilization and culture is considerably large. Considering that the intrinsic quality of the oocyte is one of the main factors affecting blastocyst yield, the precise identification of noninvasive cellular or molecular markers that predict oocyte competence is of major interest to research and practical applications. The aim of this review was to explore the current literature on different noninvasive markers associated with oocyte quality in the bovine model. Apart from some controversial findings, the presence of cycle-related structures in ovaries, a follicle size between 6 and 10 mm, large number of surrounding cumulus cells, slightly expanded investment without dark areas, large oocyte diameter (>120 microns), dark cytoplasm, and the presence of a round and smooth first polar body have been associated with better competence. In addition, the combination of oocyte and zygote selection via brilliant cresyl blue (BCB) test, spindle imaging, and the anti-Stokes Raman scattering microscopy together with studies decoding molecular cues in oocyte maturation have the potential to further optimize the identification of oocytes with better developmental competence for in-vitro-derived technologies in livestock species.
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Tsuji M, Shibata E, Askew DJ, Morokuma S, Aiko Y, Senju A, Araki S, Sanefuji M, Ishihara Y, Tanaka R, Kusuhara K, Kawamoto T. Associations between metal concentrations in whole blood and placenta previa and placenta accreta: the Japan Environment and Children's Study (JECS). Environ Health Prev Med 2019; 24:40. [PMID: 31174461 PMCID: PMC6556030 DOI: 10.1186/s12199-019-0795-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 05/23/2019] [Indexed: 01/04/2023] Open
Abstract
Background Placenta previa and placenta accreta associate with high morbidity and mortality for both mothers and fetus. Metal exposure may have relationships with placenta previa and placenta accreta. This study analyzed the associations between maternal metal (cadmium [Cd], lead [Pb], mercury [Hg], selenium [Se], and manganese [Mn]) concentrations and placenta previa and placenta accreta. Methods We recruited 17,414 women with singleton pregnancies. Data from a self-administered questionnaire regarding the first trimester and medical records after delivery were analyzed. Maternal blood samples were collected to measure metal concentrations. The subjects were classified into four quartiles (Q1, Q2, Q3, and Q4) according to metal concentrations. Results The odds ratio for placenta previa was significantly higher among subjects with Q4 Cd than those with Q1 Cd. The odds ratio for placenta previa was significantly higher for subjects with Q2 Pb than those with Q1 Pb. Conclusion Participants with placenta previa had higher Cd concentrations. However, this study was cross-sectional and lacked important information related to Cd concentration, such as detailed smoking habits and sources of Cd intake. In addition, the subjects in this study comprised ordinary pregnant Japanese women, and it was impossible to observe the relationship between a wide range of Cd exposure and placenta previa. Therefore, epidemiological and experimental studies are warranted to verify the relationship between Cd exposure and pregnancy abnormalities. Electronic supplementary material The online version of this article (10.1186/s12199-019-0795-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mayumi Tsuji
- Department of Environmental Health, University of Occupational and Environmental Health, Kitakyushu, Japan.
| | - Eiji Shibata
- Department of Obstetrics and Gynecology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - David J Askew
- Department of Obstetrics and Gynecology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Seiichi Morokuma
- Research Center for Environmental and Developmental Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yukiyo Aiko
- Department of Obstetrics and Gynecology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Ayako Senju
- Japan Environment and Children's Study, University of Occupational and Environmental Health Subunit Center, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.,Department of Pediatrics, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Shunsuke Araki
- Department of Pediatrics, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Masafumi Sanefuji
- Research Center for Environmental and Developmental Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasuhiro Ishihara
- Laboratory of Molecular Brain Science, Graduate School of Integrated Arts and Sciences, Hiroshima University, Higashi-Hiroshima, Japan
| | - Rie Tanaka
- Department of Environmental Health, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Koichi Kusuhara
- Japan Environment and Children's Study, University of Occupational and Environmental Health Subunit Center, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.,Department of Pediatrics, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Toshihiro Kawamoto
- Department of Environmental Health, University of Occupational and Environmental Health, Kitakyushu, Japan
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Qasim M, Jin JX, Lee S, Taweechaipaisankul A, Setyawan EMN, Kim GA, Lee BC. Effects of manganese on maturation of porcine oocytes in vitro and their subsequent embryo development after parthenogenetic activation and somatic cell nuclear transfer. J Reprod Dev 2019; 65:259-265. [PMID: 30905887 PMCID: PMC6584182 DOI: 10.1262/jrd.2019-001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
This study was carried out to examine the effects of manganese (Mn) on the developmental competence of porcine oocytes during in vitro maturation (IVM) after
parthenogenetic activation (PA) and somatic cell nuclear transfer (SCNT). Upon treatment of porcine oocytes with different concentrations (0, 3, 6, and 12 ng/ml) of Mn during IVM, PA was
performed to determine the optimum concentration. Following PA, the rate of blastocyst formation was higher significantly in treated porcine oocytes at 6 ng/ml of Mn than in other groups (P
< 0.05). However, there was no substantial difference in the cleavage rate and total blastocyst cell numbers among all groups. SCNT was performed using the optimal concentration of Mn
from PA, which showed an improved blastocyst formation rate in treated oocytes compared to that in control group (P < 0.05). However, the cleavage rate and total cell numbers per
blastocyst were not different between the control and the Mn treated groups after SCNT. Additionally, oocyte nuclear maturation, intracellular glutathione (GSH), and reactive oxygen species
(ROS) levels were assessed. There was no significant difference observed in nuclear maturation among all the groups. However, enhanced intracellular GSH levels while lower levels of ROS were
seen in the Mn treated group compared to the control group (P < 0.05). Thus, these results indicate that Mn supplementation can improve the developmental competence of porcine PA and SCNT
embryos by increasing GSH and decreasing ROS levels.
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Affiliation(s)
- Muhammad Qasim
- Department of Theriogenology and Biotechnology, College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea
| | - Jun-Xue Jin
- Department of Theriogenology and Biotechnology, College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea.,Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, College of Life Science, Northeast Agriculture University, Heilongjiang 150030, China
| | - Sanghoon Lee
- Department of Theriogenology and Biotechnology, College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea.,Futuristic Animal Resource & Research Center, Korea Research Institute of Bioscience and Biotechnology, Chungcheongbuk-do 28116, Republic of Korea
| | - Anukul Taweechaipaisankul
- Department of Theriogenology and Biotechnology, College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea
| | - Erif Maha Nugraha Setyawan
- Department of Theriogenology and Biotechnology, College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea
| | - Geon A Kim
- Department of Theriogenology and Biotechnology, College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea
| | - Byeong Chun Lee
- Department of Theriogenology and Biotechnology, College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea
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