請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/104613完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 林靖愉 | zh_TW |
| dc.contributor.advisor | Ching-Yu Lin | en |
| dc.contributor.author | 林庭伃 | zh_TW |
| dc.contributor.author | Ting-Yu Lin | en |
| dc.date.accessioned | 2026-08-28T16:42:20Z | - |
| dc.date.available | 2026-08-29 | - |
| dc.date.copyright | 2026-08-28 | - |
| dc.date.issued | 2026 | - |
| dc.date.submitted | 2026-07-20 00:00:00 | - |
| dc.identifier.citation | Abdul, K. S. M., Jayasinghe, S. S., Chandana, E. P., Jayasumana, C., & De Silva, P. M. C. (2015). Arsenic and human health effects: A review. Environmental toxicology and pharmacology, 40(3), 828–846.
Akhtar, E., Roy, A. K., Haq, M. A., Jakarea, M., Ara, A., Naheed, A., Rahman, M. A., von Ehrenstein, O. S., Kippler, M., & Wagatsuma, Y. (2025). Chronic arsenic exposure and cardiometabolic biomarkers in adolescents in the MINIMat longitudinal study. Journal of Trace Elements in Medicine and Biology, 127717. Arvind, A., Osganian, S. A., Cohen, D. E., & Corey, K. E. (2019). Lipid and lipoprotein metabolism in liver disease. Endotext [Internet]. Beckonert, O., Keun, H. C., Ebbels, T. M., Bundy, J., Holmes, E., Lindon, J. C., & Nicholson, J. K. (2007). Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nat Protoc, 2(11), 2692–2703. https://doi.org/10.1038/nprot.2007.376 Bhat, N., & Mani, A. (2023). Dysregulation of Lipid and Glucose Metabolism in Nonalcoholic Fatty Liver Disease. Nutrients, 15(10), 2323. Bozack, A. K., Boileau, P., Hubbard, A. E., Sillé, F. C. M., Ferreccio, C., Steinmaus, C. M., Smith, M. T., & Cardenas, A. (2022). The impact of prenatal and early-life arsenic exposure on epigenetic age acceleration among adults in Northern Chile. Environ Epigenet, 8(1), dvac014. https://doi.org/10.1093/eep/dvac014 Bundy, J. G., Davey, M. P., & Viant, M. R. (2009). Environmental metabolomics: a critical review and future perspectives. Metabolomics, 5(1), 3–21. Chakraborty, A., Ghosh, S., Biswas, B., Pramanik, S., Nriagu, J., & Bhowmick, S. (2022). Epigenetic modifications from arsenic exposure: A comprehensive review. Sci Total Environ, 810, 151218. https://doi.org/10.1016/j.scitotenv.2021.151218 Chandel, N. S. (2021). Amino Acid Metabolism. Cold Spring Harb Perspect Biol, 13(4). https://doi.org/10.1101/cshperspect.a040584 Chen, Q. Y., & Costa, M. (2021). Arsenic: a global environmental challenge. Annual Review of Pharmacology and Toxicology, 61(1), 47–63. Cheng, C., Spiegelman, D., & Li, F. (2021). Estimating the natural indirect effect and the mediation proportion via the product method. BMC Medical Research Methodology, 21(1), 253. https://doi.org/10.1186/s12874-021-01425-4 Chou, W.-C., Chung, Y.-T., Chen, H.-Y., Wang, C.-J., Ying, T.-H., Chuang, C.-Y., Tseng, Y.-C., & Wang, S.-L. (2014). Maternal arsenic exposure and DNA damage biomarkers, and the associations with birth outcomes in a general population from Taiwan. PloS one, 9(2), e86398. Demanelis, K., Argos, M., Tong, L., Shinkle, J., Sabarinathan, M., Rakibuz-Zaman, M., Sarwar, G., Shahriar, H., Islam, T., & Rahman, M. (2019). Association of arsenic exposure with whole blood DNA methylation: an epigenome-wide study of Bangladeshi adults. Environmental health perspectives, 127(5), 057011. Digitale, J. C., Martin, J. N., & Glymour, M. M. (2022). Tutorial on directed acyclic graphs. J Clin Epidemiol, 142, 264–267. https://doi.org/10.1016/j.jclinepi.2021.08.001 Dona, A. C., Jiménez, B., Schäfer, H., Humpfer, E., Spraul, M., Lewis, M. R., Pearce, J. T., Holmes, E., Lindon, J. C., & Nicholson, J. K. (2014). Precision high-throughput proton NMR spectroscopy of human urine, serum, and plasma for large-scale metabolic phenotyping. Analytical Chemistry, 86(19), 9887–9894. Farzan, S. F., Karagas, M. R., & Chen, Y. (2013). In utero and early life arsenic exposure in relation to long-term health and disease. Toxicology and applied pharmacology, 272(2), 384–390. Gallart Ayala, H., Teav, T., & Ivanisevic, J. (2020). Metabolomics meets lipidomics: Assessing the small molecule component of metabolism. BioEssays, 42(12), 2000052. Gao, S., Lin, P. I., Mostofa, G., Quamruzzaman, Q., Rahman, M., Rahman, M. L., Su, L., Hsueh, Y. M., Weisskopf, M., Coull, B., & Christiani, D. C. (2019). Determinants of arsenic methylation efficiency and urinary arsenic level in pregnant women in Bangladesh. Environ Health, 18(1), 94. https://doi.org/10.1186/s12940-019-0530-2 Garelick, H., Jones, H., Dybowska, A., & Valsami-Jones, E. (2008). Arsenic pollution sources. Reviews of environmental contamination volume 197: International perspectives on arsenic pollution and remediation, 17–60. Gould, R. L., & Pazdro, R. (2019). Impact of Supplementary Amino Acids, Micronutrients, and Overall Diet on Glutathione Homeostasis. Nutrients, 11(5), 1056. Guda, P., Guda, C., & Subramaniam, S. (2007). Reconstruction of pathways associated with amino acid metabolism in human mitochondria. Genomics Proteomics Bioinformatics, 5(3-4), 166–176. https://doi.org/10.1016/s1672-0229(08)60004-2 Hall, M. N., Niedzwiecki, M., Liu, X., Harper, K. N., Alam, S., Slavkovich, V., Ilievski, V., Levy, D., Siddique, A. B., Parvez, F., Mey, J. L., van Geen, A., Graziano, J., & Gamble, M. V. (2013). Chronic arsenic exposure and blood glutathione and glutathione disulfide concentrations in Bangladeshi adults. Environ Health Perspect, 121(9), 1068–1074. https://doi.org/10.1289/ehp.1205727 Holeček, M. (2018). Branched-chain amino acids in health and disease: metabolism, alterations in blood plasma, and as supplements. Nutr Metab (Lond), 15, 33. https://doi.org/10.1186/s12986-018-0271-1 Hong, Y.-S., Song, K.-H., & Chung, J.-Y. (2014). Health effects of chronic arsenic exposure. Journal of preventive medicine and public health, 47(5), 245. Hsieh, F., Kuo, S., Chiou, H., Huang, C., & Chen, C. (2015). Early-life arsenic exposure significantly increased the risk of cardiovascular disease. Atherosclerosis, 241(1), e132. Hu, Y., He, J., Ma, Y., Ge, L., Lou, B., Fang, X., Wang, H., & Xu, Y. (2025). Arsenic and metabolic diseases: New insights from mesenchymal stem cells. Toxicology and applied pharmacology, 117299. Hughes, M. F., Beck, B. D., Chen, Y., Lewis, A. S., & Thomas, D. J. (2011). Arsenic Exposure and Toxicology: A Historical Perspective. Toxicological Sciences, 123(2), 305–332. https://doi.org/10.1093/toxsci/kfr184 Inoue, K., Yan, Q., Arah, O. A., Paul, K., Walker, D. I., Jones, D. P., & Ritz, B. (2020). Air Pollution and Adverse Pregnancy and Birth Outcomes: Mediation Analysis Using Metabolomic Profiles. Curr Environ Health Rep, 7(3), 231–242. https://doi.org/10.1007/s40572-020-00284-3 Ipsen, D. H., Lykkesfeldt, J., & Tveden-Nyborg, P. (2018). Molecular mechanisms of hepatic lipid accumulation in non-alcoholic fatty liver disease. Cell Mol Life Sci, 75(18), 3313–3327. https://doi.org/10.1007/s00018-018-2860-6 Janero, D. R., Siuta-Mangano, P., Miller, K. W., & Lane, M. D. (1984). Synthesis, processing, and secretion of hepatic very low density lipoprotein. J Cell Biochem, 24(2), 131–152. https://doi.org/10.1002/jcb.240240205 Jia, C., Wei, Y., Lan, Y., Hou, X., Zuo, J., Wang, T., Li, J., Guan, X., Yang, H., & Mao, G. (2019). Comprehensive analysis of the metabolomic characteristics on the health lesions induced by chronic arsenic exposure: A metabolomics study. Int J Hyg Environ Health, 222(3), 434–445. https://doi.org/10.1016/j.ijheh.2018.12.010 Johnson, C. H., Ivanisevic, J., & Siuzdak, G. (2016). Metabolomics: beyond biomarkers and towards mechanisms. Nature reviews Molecular cell biology, 17(7), 451–459. Jomova, K., Jenisova, Z., Feszterova, M., Baros, S., Liska, J., Hudecova, D., Rhodes, C. J., & Valko, M. (2011). Arsenic: toxicity, oxidative stress and human disease. Journal of applied toxicology, 31(2), 95–107. Kaushal, A., Zhang, H., Karmaus, W. J., Everson, T. M., Marsit, C. J., Karagas, M. R., Tsai, S.-F., Wen, H.-J., & Wang, S.-L. (2017). Genome-wide DNA methylation at birth in relation to in utero arsenic exposure and the associated health in later life. Environmental Health, 16(1), 50. Kuo, C. C., Su, P. H., Sun, C. W., Liu, H. J., Chang, C. L., & Wang, S. L. (2018). Early-life arsenic exposure promotes atherogenic lipid metabolism in adolescence: A 15-year birth cohort follow-up study in central Taiwan. Environ Int, 118, 97–105. https://doi.org/10.1016/j.envint.2018.05.033 Laine, J. E., Bailey, K. A., Olshan, A. F., Smeester, L., Drobná, Z., Stýblo, M., Douillet, C., García-Vargas, G., Rubio-Andrade, M., Pathmasiri, W., McRitchie, S., Sumner, S. J., & Fry, R. C. (2017). Neonatal Metabolomic Profiles Related to Prenatal Arsenic Exposure. Environ Sci Technol, 51(1), 625–633. https://doi.org/10.1021/acs.est.6b04374 Li, C., Li, P., Tan, Y. M., Lam, S. H., Chan, E. C., & Gong, Z. (2016). Metabolomic Characterizations of Liver Injury Caused by Acute Arsenic Toxicity in Zebrafish. PloS one, 11(3), e0151225. https://doi.org/10.1371/journal.pone.0151225 Liao, K. W., Chien, L. C., Chen, Y. C., & Kao, H. C. (2022). Sex-specific differences in early renal impairment associated with arsenic, lead, and cadmium exposure among young adults in Taiwan. Environ Sci Pollut Res Int, 29(35), 52655–52664. https://doi.org/10.1007/s11356-022-19521-3 Lin, C. Y., Viant, M. R., & Tjeerdema, R. S. (2006). Metabolomics: Methodologies and applications in the environmental sciences. Journal of Pesticide Science, 31(3), 245–251. Liu, X., & Locasale, J. W. (2017). Metabolomics: a primer. Trends in biochemical sciences, 42(4), 274–284. Liu, Y., Li, W., Zhang, J., Yan, Y., Zhou, Q., Liu, Q., Guan, Y., Zhao, Z., An, J., & Cheng, X. (2024). Associations of arsenic exposure and arsenic metabolism with the risk of non-alcoholic fatty liver disease. International Journal of Hygiene and Environmental Health, 257, 114342. Markley, J. L., Brüschweiler, R., Edison, A. S., Eghbalnia, H. R., Powers, R., Raftery, D., & Wishart, D. S. (2017). The future of NMR-based metabolomics. Current opinion in biotechnology, 43, 34–40. Martinez, V. D., & Lam, W. L. (2021). Health Effects Associated With Pre- and Perinatal Exposure to Arsenic. Front Genet, 12, 664717. https://doi.org/10.3389/fgene.2021.664717 Martinez, V. D., Vucic, E. A., Becker-Santos, D. D., Gil, L., & Lam, W. L. (2011). Arsenic exposure and the induction of human cancers. J Toxicol, 2011, 431287. https://doi.org/10.1155/2011/431287 Muzurović, E., Peng, C. C.-H., Belanger, M. J., Sanoudou, D., Mikhailidis, D. P., & Mantzoros, C. S. (2022). Nonalcoholic fatty liver disease and cardiovascular disease: a review of shared cardiometabolic risk factors. Hypertension, 79(7), 1319–1326. Nagana Gowda, G., & Raftery, D. (2017). Recent advances in NMR-based metabolomics. Analytical Chemistry, 89(1), 490–510. Nagana Gowda, G., & Raftery, D. (2021). NMR-based metabolomics. In Cancer metabolomics: Methods and applications (pp. 19–37). Springer. Nicholson, J. K., Foxall, P. J., Spraul, M., Farrant, R. D., & Lindon, J. C. (1995). 750 MHz 1H and 1H-13C NMR spectroscopy of human blood plasma. Anal Chem, 67(5), 793–811. https://doi.org/10.1021/ac00101a004 Ornelas Van Horne, Y., Parks, J., Tran, T., Abrell, L., Reynolds, K. A., & Beamer, P. I. (2019). Seasonal Variation of Water Quality in Unregulated Domestic Wells. Int J Environ Res Public Health, 16(9). https://doi.org/10.3390/ijerph16091569 Palma-Lara, I., Martínez-Castillo, M., Quintana-Pérez, J., Arellano-Mendoza, M., Tamay-Cach, F., Valenzuela-Limón, O., García-Montalvo, E., & Hernández-Zavala, A. (2020). Arsenic exposure: A public health problem leading to several cancers. Regulatory Toxicology and Pharmacology, 110, 104539. Patel, K. S., Pandey, P. K., Martín-Ramos, P., Corns, W. T., Varol, S., Bhattacharya, P., & Zhu, Y. (2023). A review on arsenic in the environment: contamination, mobility, sources, and exposure. RSC advances, 13(13), 8803–8821. Rodrigues, D., Kreif, N., Lawrence-Jones, A., Barahona, M., & Mayer, E. (2022). Reflection on modern methods: constructing directed acyclic graphs (DAGs) with domain experts for health services research. International Journal of Epidemiology, 51(4), 1339–1348. https://doi.org/10.1093/ije/dyac135 Saoudi, A., Zeghnoun, A., Bidondo, M. L., Garnier, R., Cirimele, V., Persoons, R., & Fréry, N. (2012). Urinary arsenic levels in the French adult population: the French National Nutrition and Health Study, 2006-2007. Sci Total Environ, 433, 206–215. https://doi.org/10.1016/j.scitotenv.2012.06.053 Shoaib, S. M., Afzal, S., Feezan, A., Akash, M. S. H., Nadeem, A., & Mir, T. M. (2023). Metabolomics Analysis and Biochemical Profiling of Arsenic-Induced Metabolic Impairment and Disease Susceptibility. Biomolecules, 13(9). https://doi.org/10.3390/biom13091424 Smedley, P. L., & Kinniburgh, D. G. (2002). A review of the source, behaviour and distribution of arsenic in natural waters. Applied geochemistry, 17(5), 517–568. Smith, A. H., Marshall, G., Liaw, J., Yuan, Y., Ferreccio, C., & Steinmaus, C. (2012). Mortality in young adults following in utero and childhood exposure to arsenic in drinking water. Environmental health perspectives, 120(11), 1527. Smith, R. L., Soeters, M. R., Wüst, R. C. I., & Houtkooper, R. H. (2018). Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease. Endocr Rev, 39(4), 489–517. https://doi.org/10.1210/er.2017-00211 Song, L., Liu, B., Zhang, L., Wu, M., Wang, L., Cao, Z., Zhang, B., Li, Y., Wang, Y., & Xu, S. (2019). Association of prenatal exposure to arsenic with newborn telomere length: Results from a birth cohort study. Environ Res, 175, 442–448. https://doi.org/10.1016/j.envres.2019.05.042 Srivastava, S., D'Souza, S. E., Sen, U., & States, J. C. (2007). In utero arsenic exposure induces early onset of atherosclerosis in ApoE-/- mice. Reprod Toxicol, 23(3), 449–456. https://doi.org/10.1016/j.reprotox.2007.01.005 Torres, N., Tobón-Cornejo, S., Velazquez-Villegas, L. A., Noriega, L. G., Alemán-Escondrillas, G., & Tovar, A. R. (2023). Amino Acid Catabolism: An Overlooked Area of Metabolism. Nutrients, 15(15), 3378. Tsai, T.-L., Kuo, C.-C., Hsu, L.-I., Tsai, S.-F., Chiou, H.-Y., Chen, C.-J., Hsu, K.-H., & Wang, S.-L. (2021). Association between arsenic exposure, DNA damage, and urological cancers incidence: A long-term follow-up study of residents in an arseniasis endemic area of northeastern Taiwan. Chemosphere, 266, 129094. Vahter, M. (2009). Effects of arsenic on maternal and fetal health. Annual review of nutrition, 29(1), 381–399. van Zwol, W., van de Sluis, B., Ginsberg, H. N., & Kuivenhoven, J. A. (2024). VLDL Biogenesis and Secretion: It Takes a Village. Circ Res, 134(2), 226–244. https://doi.org/10.1161/circresaha.123.323284 Wang, C.-H., Hsiao, C. K., Chen, C.-L., Hsu, L.-I., Chiou, H.-Y., Chen, S.-Y., Hsueh, Y.-M., Wu, M.-M., & Chen, C.-J. (2007). A review of the epidemiologic literature on the role of environmental arsenic exposure and cardiovascular diseases. Toxicology and applied pharmacology, 222(3), 315–326. Wang, X., Mu, X., Zhang, J., Huang, Q., Alamdar, A., Tian, M., Liu, L., & Shen, H. (2015). Serum metabolomics reveals that arsenic exposure disrupted lipid and amino acid metabolism in rats: a step forward in understanding chronic arsenic toxicity. Metallomics, 7(3), 544–552. https://doi.org/10.1039/c5mt00002e Want, E. J., Masson, P., Michopoulos, F., Wilson, I. D., Theodoridis, G., Plumb, R. S., Shockcor, J., Loftus, N., Holmes, E., & Nicholson, J. K. (2013). Global metabolic profiling of animal and human tissues via UPLC-MS. Nat Protoc, 8(1), 17–32. https://doi.org/10.1038/nprot.2012.135 Young, J. L., Cai, L., & States, J. C. (2018). Impact of prenatal arsenic exposure on chronic adult diseases. Syst Biol Reprod Med, 64(6), 469–483. https://doi.org/10.1080/19396368.2018.1480076 Yu, Q., Wang, W., Wu, Z., Sun, B., & Zhang, A. (2023). Association between exposure to arsenic and the risk of cardiovascular disease: Potential role of vascular endothelial injury. Environ Toxicol Pharmacol, 104303. https://doi.org/10.1016/j.etap.2023.104303 Zhang, A., Sun, H., & Wang, X. (2012). Serum metabolomics as a novel diagnostic approach for disease: a systematic review. Analytical and bioanalytical chemistry, 404(4), 1239–1245. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/104613 | - |
| dc.description.abstract | 在自然的地殼環境中存在有廣泛分布的有毒類金屬-砷,無機砷暴露已被證實與多種慢性疾病相關。孕期為敏感的關鍵發育時期,流行病學證據顯示,子宮內及早期生命階段(如兒童期)的砷暴露會與後續生命階段的血脂及葡萄糖代謝異常相關,並可能增加青少年時期心血管疾病風險。然而,早期砷暴露對成年人影響之分子流行病學證據仍然不足。砷暴露造成脂質代謝異常不僅為心血管疾病的重要風險因子,亦與非酒精性脂肪肝疾病的發展密切相關,砷暴露與心血管疾病的關聯已有較多研究支持,然而,產前及早期生命砷暴露是否促進成年期脂肪肝形成及分子效應的研究相對有限。
本研究利用了來自臺灣母嬰環境暴露世代研究(TMICS-Taichung)追蹤至21歲的97位年輕成人,其血清藉由核磁共振儀測量其血清代謝體。砷暴露依不同年齡階段之尿砷濃度進行分群,並利用多變量分析視覺化探討砷暴露與代謝體表現之關係。另透過線性迴歸分析評估產前以及當下砷暴露與個別血清代謝物及肝臟脂肪化指標之關聯。此外,進一步以中介分析探索代謝物在砷暴露與脂肪肝之間可能扮演的角色。 結果顯示,較高的產前砷暴露與21歲血清中之VLDL及不飽和脂肪酸上升顯著相關,並且與多個胺基酸下降顯著相關。我們推論產前砷暴露可能導致肝臟比較偏向製造和輸出脂質,而不是清除或保護血管,脂質合成與輸出造成能量需求增加可能會消耗胺基酸作為能量提供來源。雖然在多變量分析中代謝體分群與有無脂肪肝有關,但是再使用中介效應分析探討是否有特定代謝物顯著影響砷暴露與脂肪肝之間關連時,結果未發現顯著影響砷暴露與脂肪肝的代謝物。 綜合上述,本研究探討早期砷暴露與年輕成年期之血清代謝體之關係,結果顯示產前砷暴露可能與成年期脂質運輸及代謝與能量相關之特徵改變有關。此研究提供初步流行病學證據,支持早期生命暴露對後續代謝健康具有長期影響,並凸顯產前暴露時期在生命歷程研究中的重要性,為未來進一步進行大型世代研究及機制性探討提供研究方向與基礎。 | zh_TW |
| dc.description.abstract | Arsenic is an environmentally ubiquitous toxic metalloid, and exposure to its inorganic forms has been associated with a greater risk of developing chronic diseases. Previous epidemiological studies showed that prenatal and early-life arsenic exposure is a critical window of susceptibility and has been associated with later-life disturbances in lipid and glucose metabolism and increased cardiovascular disease risk. However, the long-term consequences and underlying molecular mechanisms associated with arsenic exposure during early life remain poorly understood. Although disturbances in lipid metabolism play a central role in the pathogenesis of cardiovascular disease and non-alcoholic fatty liver disease, the biochemical linking arsenic exposure to hepatic steatosis development is still limited.
Using NMR-based metabolomics, we investigated serum metabolic alterations associated with early-life arsenic exposure among 97 participants aged 21 years from Taiwan mother infant cohort study (TMICS)-Taichung. Arsenic exposure was categorized according to urinary arsenic concentrations measured at different life stages. The clustering patterns of serum metabolomic profiles according to arsenic exposure were evaluated using multivariate statistical analyses. In addition, to investigate the associations of prenatal and concurrent arsenic exposure with serum metabolites and hepatic steatosis indicators, linear regression models were constructed. Furthermore, mediation analysis was performed to investigate whether serum metabolites potentially mediated the relationship between arsenic exposure and fatty liver. The result showed that higher prenatal arsenic exposure was positively associated with increased very-low-density lipoprotein (VLDL) and unsaturated fatty acids and decreased of multiple amino acids in the serum of 21-year-old adults. Prenatal arsenic exposure appears to favor hepatic lipid synthesis and export over lipid clearance and vascular protective functions, according to the present findings. Moreover, increased amino acid utilization was suspected to meet energetic demands of hepatic lipid synthesis and secretion. Although fatty liver status was associated with distinct metabolic clustering in multivariate analyses, mediation analysis did not identify any metabolites with a significant indirect effect linking arsenic exposure to hepatic steatosis. In summary, this study examined serum metabolic profiles in young adults with early-life arsenic exposure. We found that prenatal arsenic exposure is associated with alterations in serum metabolites related to lipid transport and energy metabolism in adulthood. These findings provided preliminary epidemiological evidence supporting long-term metabolic effects of early-life arsenic exposure and highlighted the importance of prenatal exposure windows in life-course research, informing future large-scale cohort and mechanistic studies. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2026-08-28T16:42:20Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2026-08-28T16:42:20Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員審定書 i
致謝 ii 中文摘要 iii Abstract v Content vii Figure index xi Table index xiii I. Introduction 1 1-1 Environmental arsenic exposure 1 1-2 Life-course effects of prenatal and arsenic exposure on development 3 1-3 Nuclear magnetic resonance (NMR)-based metabolomic analysis 5 1-4 Study aims 8 II. Materials and methods 9 2-1 Study flow chart 9 2-2 Study participants and sample collection 10 2-3 Assessment of arsenic exposure levels 11 2-4 NMR-based measurement of the serum metabolome 12 2-4-1 Sample preparation 12 2-4-2 Spectral acquisition by 600MHz NMR 13 2-5 Identification of serum metabolites 14 2-6 Statistical analysis 15 2-6-1 Urinary arsenic trajectories during follow-up period in young adults 15 2-6-2 Pattern recognition 16 2-6-3 Deciding the possible confounders by directed acyclic graphs 17 2-7 Associations between arsenic levels and metabolic profiles 17 III. Results 19 3-1 Baseline characteristics among 21-year-old young adults 19 3-2 Distinctive arsenic exposure trajectories among 21 years young adults 20 3-3 Serum metabolic profiling by NMR spectroscopy 20 3-4 The potential impact of arsenic exposure on 21 years old young adults from TIMICS 21 3-4-1 Comparison of serum metabolites of 21-year-old young adults in different arsenic trajectories during 2-14 years old 21 3-4-2 Comparison of serum metabolites of 21-year-old young adults across arsenic exposure quartiles at different life stages 21 3-5 Association of prenatal and current arsenic exposure with serum metabolites of 21-year-old participants 22 3-6 Effects of arsenic exposure on fatty liver and the related metabolites 24 IV. Discussion 25 4-1 Prenatal arsenic exposure may influence lipid metabolism in young adults 26 4-2 Amino acids as TCA cycle anaplerotic substrates to supporting the energetic demands 28 4-3 Prenatal arsenic exposure may induce oxidative stress 29 4-4 Effects of arsenic exposure on fatty liver 30 4-5 Strengths and limitations 32 4-6 Conclusion 33 References 34 | - |
| dc.language.iso | en | - |
| dc.subject | 無機砷 | - |
| dc.subject | 血清 | - |
| dc.subject | 核磁共振儀 | - |
| dc.subject | 脂肪肝 | - |
| dc.subject | 代謝體學 | - |
| dc.subject | inorganic arsenic | - |
| dc.subject | serum | - |
| dc.subject | nuclear magnetic resonance | - |
| dc.subject | fatty liver | - |
| dc.subject | metabolomics | - |
| dc.title | 透過氫譜核磁共振代謝體學分析無機砷暴露與年輕成人血清代謝特徵的關聯性 | zh_TW |
| dc.title | Association of the serum metabolic profile to inorganic arsenic exposure in young adults through NMR-based metabolomics | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 114-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 黃耀輝;王淑麗;陳美惠 | zh_TW |
| dc.contributor.oralexamcommittee | Yaw-Huei Hwang;Shu-Li Wang;Mei-Hui Chen | en |
| dc.subject.keyword | 無機砷; 血清; 核磁共振儀; 脂肪肝; 代謝體學 | zh_TW |
| dc.subject.keyword | inorganic arsenic; serum; nuclear magnetic resonance; fatty liver; metabolomics | en |
| dc.relation.page | 67 | - |
| dc.identifier.doi | 10.6342/NTU202600514 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2026-07-21 | - |
| dc.contributor.author-college | 公共衛生學院 | - |
| dc.contributor.author-dept | 環境與職業健康科學研究所 | - |
| dc.date.embargo-lift | 2026-08-29 | - |
| 顯示於系所單位: | 環境與職業健康科學研究所 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-114-2.pdf 授權僅限NTU校內IP使用(校園外請利用VPN校外連線服務) | 1.67 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
