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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李財坤(Tsai-Kun Li) | |
| dc.contributor.author | Ming-Jui Tsai | en |
| dc.contributor.author | 蔡明叡 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:34:16Z | - |
| dc.date.available | 2022-02-16 | |
| dc.date.available | 2022-11-24T03:34:16Z | - |
| dc.date.copyright | 2022-02-16 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-01-25 | |
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Proceedings of the National Academy of Sciences of the United States of America, 114(37), 9966-9971. doi:10.1073/pnas.1705899114 Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., . . . Knight, R. (2010). QIIME allows analysis of high-throughput community sequencing data. Nature Methods, 7(5), 335-336. doi:10.1038/nmeth.f.303 Chen, C., Song, X., Wei, W., Zhong, H., Dai, J., Lan, Z., . . . Jia, H. (2017). The microbiota continuum along the female reproductive tract and its relation to uterine-related diseases. Nature Communications, 8(1), 875. doi:10.1038/s41467-017-00901-0 Chong, J., Liu, P., Zhou, G., Xia, J. (2020). Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data. Nat Protoc, 15(3), 799-821. doi:10.1038/s41596-019-0264-1 Clavel, T., Lagkouvardos, I., Stecher, B. (2017). From complex gut communities to minimal microbiomes via cultivation. Curr Opin Microbiol, 38, 148-155. doi:10.1016/j.mib.2017.05.013 Dhariwal, A., Chong, J., Habib, S., King, I. L., Agellon, L. B., Xia, J. (2017). MicrobiomeAnalyst: a web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data. Nucleic Acids Res, 45(W1), W180-w188. doi:10.1093/nar/gkx295 Di Bella, J. M., Bao, Y., Gloor, G. B., Burton, J. P., Reid, G. (2013). High throughput sequencing methods and analysis for microbiome research. Journal of Microbiological Methods, 95(3), 401-414. doi:https://doi.org/10.1016/j.mimet.2013.08.011 Fan, Y., Pedersen, O. (2021). Gut microbiota in human metabolic health and disease. Nature Reviews Microbiology, 19(1), 55-71. doi:10.1038/s41579-020-0433-9 Fournier, P. E., Lagier, J. C., Dubourg, G., Raoult, D. (2015). From culturomics to taxonomogenomics: A need to change the taxonomy of prokaryotes in clinical microbiology. Anaerobe, 36, 73-78. doi:10.1016/j.anaerobe.2015.10.011 Fox, C., Eichelberger, K. (2015). Maternal microbiome and pregnancy outcomes. Fertil Steril, 104(6), 1358-1363. doi:10.1016/j.fertnstert.2015.09.037 Franasiak, J. M., Werner, M. D., Juneau, C. R., Tao, X., Landis, J., Zhan, Y., . . . Scott, R. T. (2016). Endometrial microbiome at the time of embryo transfer: next-generation sequencing of the 16S ribosomal subunit. J Assist Reprod Genet, 33(1), 129-136. doi:10.1007/s10815-015-0614-z González, A., Vázquez-Baeza, Y., Knight, R. (2014). SnapShot: the human microbiome. Cell, 158(3), 690-690.e691. doi:10.1016/j.cell.2014.07.019 Hyman, R. W., Herndon, C. N., Jiang, H., Palm, C., Fukushima, M., Bernstein, D., . . . Giudice, L. C. (2012). The dynamics of the vaginal microbiome during infertility therapy with in vitro fertilization-embryo transfer. J Assist Reprod Genet, 29(2), 105-115. doi:10.1007/s10815-011-9694-6 Koedooder, R., Singer, M., Schoenmakers, S., Savelkoul, P. H. M., Morré, S. A., de Jonge, J. D., . . . Laven, J. S. E. (2019). The vaginal microbiome as a predictor for outcome of in vitro fertilization with or without intracytoplasmic sperm injection: a prospective study. Hum Reprod, 34(6), 1042-1054. doi:10.1093/humrep/dez065 Lagier, J. C., Hugon, P., Khelaifia, S., Fournier, P. E., La Scola, B., Raoult, D. (2015). The rebirth of culture in microbiology through the example of culturomics to study human gut microbiota. Clin Microbiol Rev, 28(1), 237-264. doi:10.1128/cmr.00014-14 Liversedge, N. H., Turner, A., Horner, P. J., Keay, S. D., Jenkins, J. M., Hull, M. G. (1999). The influence of bacterial vaginosis on in-vitro fertilization and embryo implantation during assisted reproduction treatment. Hum Reprod, 14(9), 2411-2415. doi:10.1093/humrep/14.9.2411 Morais, L. H., Schreiber, H. L., Mazmanian, S. K. (2021). The gut microbiota–brain axis in behaviour and brain disorders. Nature Reviews Microbiology, 19(4), 241-255. doi:10.1038/s41579-020-00460-0 Moreno, I., Codoñer, F. M., Vilella, F., Valbuena, D., Martinez-Blanch, J. F., Jimenez-Almazán, J., . . . Simon, C. (2016). Evidence that the endometrial microbiota has an effect on implantation success or failure. Am J Obstet Gynecol, 215(6), 684-703. doi:10.1016/j.ajog.2016.09.075 Ravel, J., Gajer, P., Abdo, Z., Schneider, G. M., Koenig, S. S. K., McCulle, S. L., . . . Forney, L. J. (2011). Vaginal microbiome of reproductive-age women. Proceedings of the National Academy of Sciences, 108(Supplement 1), 4680-4687. doi:10.1073/pnas.1002611107 Segata, N., Izard, J., Waldron, L., Gevers, D., Miropolsky, L., Garrett, W. S., Huttenhower, C. (2011). Metagenomic biomarker discovery and explanation. Genome Biology, 12(6), R60. doi:10.1186/gb-2011-12-6-r60 Selman, H., Mariani, M., Barnocchi, N., Mencacci, A., Bistoni, F., Arena, S., . . . Angelini, A. (2007). Examination of bacterial contamination at the time of embryo transfer, and its impact on the IVF/pregnancy outcome. J Assist Reprod Genet, 24(9), 395-399. doi:10.1007/s10815-007-9146-5 Sirota, I., Zarek, S. M., Segars, J. H. (2014). Potential influence of the microbiome on infertility and assisted reproductive technology. Semin Reprod Med, 32(1), 35-42. doi:10.1055/s-0033-1361821 Thomas-White, K., Forster, S. C., Kumar, N., Van Kuiken, M., Putonti, C., Stares, M. D., . . . Lawley, T. D. (2018). Culturing of female bladder bacteria reveals an interconnected urogenital microbiota. Nature Communications, 9(1), 1557. doi:10.1038/s41467-018-03968-5 Tsevat, D. G., Wiesenfeld, H. C., Parks, C., Peipert, J. F. (2017). Sexually transmitted diseases and infertility. Am J Obstet Gynecol, 216(1), 1-9. doi:10.1016/j.ajog.2016.08.008 Wang, J., Sauer, M. V. (2006). In vitro fertilization (IVF): a review of 3 decades of clinical innovation and technological advancement. Ther Clin Risk Manag, 2(4), 355-364. doi:10.2147/tcrm.2006.2.4.355 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81172 | - |
| dc.description.abstract | "共生微生物相對於人類健康具有重大影響。近年來之研究結果顯示，女性生殖泌尿道之微生物相組成對於生殖健康具有關聯性，特別對於試管嬰兒之手術成功率具有顯著之影響。因此，本篇研究旨在分析自台大醫院接受試管嬰兒療程之女性受試者，其生殖泌尿道微生物相組成情形與手術成功與否之關聯性，並試圖從中找尋特異性微生物生物標記因子，進而期望針對試管嬰兒手術之結果判定設計開發早期預測系統以改善試管嬰兒手術之成功率。 本篇研究中發現在受試者之生殖泌尿道微生物相中，除Lactobacillus iners外的乳酸菌其盛行率及相對豐富度於成功懷孕之族群均較高，反之，數株絕對厭氧菌如Atopobium vaginae, Sneathia與Gardnerella species於未能成功懷孕之受試者族群間存在較高之盛行率及相對豐富度，而在進一步經由LEfSe分析後，可得出一系列存在於女性尿液中針對試管嬰兒受孕成功情形具特異性之微生物生物標記因子。此外，本篇研究發現生殖泌尿道中的乳酸菌與Atopobium vaginae之相對豐富度比例在成功受孕及未成功之受試者族群間存在有普遍之差異性，再者，數株於療程前尿液中早期發現的不利受孕之生物標記因子如Sneathia, Aerococcus, Enterococcus, Parvimonas species亦在成功受孕及未成功之受試者族群間具有顯著之發生率區別。因此，本篇研究藉由計算療程前受試者尿液中乳酸菌與Atopobium vaginae之相對豐富度比例以及Sneathia, Aerococcus, Enterococcus, Parvimonas species等生物標記因子之受孕失敗風險值，搭配數項療程相關之臨床參數，開發出針對試管嬰兒手術成功與否的早期預測系統原型，經由ROC分析檢定成果，其準確率可達近八成。 同時，本篇研究同時也試圖將由生物資訊方法探勘出之微生物生物標記因子，藉由培養體學方法於臨床檢體中分離、鑑定並保存，亦在研究過程中發現了抗生素Cephalexin的使用將影響女性泌尿道微生物相的組成，並導致受孕成功率下降，未來將提供醫師在臨床診斷及療程處理上新的思考方向。" | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:34:16Z (GMT). No. of bitstreams: 1 U0001-2501202201524100.pdf: 3000283 bytes, checksum: ff43e3c95c4c5c08d4542801f970b51e (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | ACKNOWLEDGEMENTS I 中文摘要 II ABSTRACT IV INTRODUCTION 1 1. Human Microbiota and Microbiome 1 2. OTU and Bioinformatics Pipeline for Microbiome Analysis 2 3. Biodiversity in Microbiome 2 3.1 Alpha Diversity 3 3.2 Beta Diversity 3 4. Linear Discriminant Analysis Effect Size (LEfSe) and Statistical Methods for Analyzing Human Microbiome 4 5. Culturomics 5 6. Urogenital Microbiome and Female Reproduction Health 6 SPECIFIC AIMS 9 MATERIALS AND METHODS 11 1. Overview of the Procedures during in vitro Fertilization Surgery 11 2. Study Design 12 3. Urine Sample Preparation 12 4. Cervical and Vaginal Swabs Collection and Preparation 13 5. DNA Extraction and PCR of 16s Ribosomal Sequences 13 6. Preparation for Illumina Miseq600 System 14 7. Data Processing and Analysis 15 8. Microbial Culture System for Clinical Female Urogenital Samples 16 9. Medium for Systemic Microbial Culture 17 10. MALDI-TOF 17 RESULTS 19 1. Major Components in Urogenital Microbiome of Female Clients Undergone IVF Surgery Majorly Comprised Lactobacillus Species. 19 2. Lactobacillus Species except Lactobacillus iners Dominated in the Urogenital Core Microbiome among Pregnant Clients at every Time Spot and Sample Types. 20 3. Obligated Anaerobes Atopobium vaginae Showed Higher Dominance in the Core Urinary Microbiome among Non-Pregnant Clients at every Time Spot 21 4. The Abundance of Lactobacillus Species and Atopobium vaginae Showed Statistically Difference in Urinary Microbiome between Pregnant and Non-Pregnant Groups. 21 5. Lactobacillus Species and Atopobium vaginae in Female Urinary Microbiome Could Be Specific Biomarkers for the Pregnancy Outcome of IVF Surgery. 22 6. Predictive Classification System of Pregnancy Outcome at Early Stage of IVF Surgery Based on D2 Urinary Biomarkers 23 7. Frozen Embryo Transfer Clients Performed Higher Success Rate compared to Fresh Embryo Transfer Clients 24 8. Antibiotics Significantly Modulated the Female Urinary Microbiome. 24 9. The Urinary Microbiome of Pregnant and Non-Pregnant Clients Had Different Sensitivity with Cephalexin Treatment. 25 10. Estradiol Response Shows Difference between Pregnant and Non-Pregnant Groups without Affecting the Overall Characters in FUM. 26 11. Systemic Culture of Urogenital Microbiota in Female Clients Undergone IVF Surgery Obtained the Library of Lactobacillus Strains. 26 DISCUSSIONS 28 TABLES AND FIGURES 30 REFERENCES 55 | |
| dc.language.iso | en | |
| dc.subject | 試管嬰兒 | zh_TW |
| dc.subject | 微生物相 | zh_TW |
| dc.subject | 生物標記因子 | zh_TW |
| dc.subject | Biomarker | en |
| dc.subject | Microbiome | en |
| dc.subject | IVF | en |
| dc.title | 探勘臺灣女性尿液微生物標記因子對試管嬰兒受孕率提升之體學研究 | zh_TW |
| dc.title | Omics Study for the Advance in IVF Pregnancy Rate by the Discovery of Female Urinary Microbial Biomarker in Taiwan | en |
| dc.date.schoolyear | 110-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 倪衍玄(Lin-Shan Lee),盛望徽(Yen-Huan Li),(Shang-Tse Chen) | |
| dc.subject.keyword | 微生物相,試管嬰兒,生物標記因子, | zh_TW |
| dc.subject.keyword | Microbiome,IVF,Biomarker, | en |
| dc.relation.page | 57 | |
| dc.identifier.doi | 10.6342/NTU202200193 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2022-01-25 | |
| dc.contributor.author-college | 醫學院 | zh_TW |
| dc.contributor.author-dept | 微生物學研究所 | zh_TW |
| 顯示於系所單位： | 微生物學科所 | |
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