1. 厚生労働省 平成 30 年度国民医療費の概況. https://www.mhlw.go.jp/toukei/saikin/hw/k-iryohi/18/index.html (参照 2021-1-17)
2. FDA-NIH Biomarker Working Group (2016): BEST (Biomarkers, EndpointS, and other Tools) Resource
3. Leptak, C., Menetski, J.P., Wagner, J.A., Aubrecht, J., Brady, L., Brumfield, M., Chin, W.W., Hoffmann, S., Kelloff, G., Lavezzari, G., Ranganathan, R., Sauer, J.M., Sistare, F.D., Zabka, T., Wholley, D. (2017): What evidence do we need for biomarker qualification? Sci. Transl. Med., 9, eaal4599.
4. U.S Preventive Services Task Force. Abnormal blood glucose and type 2 diabetes mellitus: screening. https://www.uspreventiveservicestaskforce.org/uspstf/document/RecommendationStatementFi nal/screening-for-abnormal-blood-glucose-and-type-2-diabetes (参照 2021-1-17)
5. Hidalgo, M. (2010): Pancreatic cancer. N. Engl. J. Med., 362, 1605-17.
6. Partin, A.W., Catalona, W.J., Southwick, P.C., Subong, E.N., Gasior, G.H., Chan, D.W. (1996): Analysis of percent free prostate-specific antigen (PSA) for prostate cancer detection: influence of total PSA, prostate volume, and age. Urology, 48, 55-61.
7. 福崎 英一郎(2017): メタボロミクスの精密表現型解析への応用.日本乳酸菌学会誌,28, 66-73
8. Wu, G. (2009): Amino acids: metabolism, functions, and nutrition. Amino Acids, 37, 1-17.
9. Lee, Y.H., Wong, D.T. (2009): Saliva: an emerging biofluid for early detection of diseases. Am. J. Dent., 22, 241-8.
10. Gardner, A., Carpenter, G., So, P.W. (2020): Salivary Metabolomics: From Diagnostic Biomarker Discovery to Investigating Biological Function. Metabolites, 10, 47.
11. World Health Organization. Naming the coronavirus disease (COVID-19) and the virus that causes it. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technicalguidance/naming-the-coronavirus-disease-(covid-2019)-and-the-virus-that-causes-it (参照 2021-1-17)
12. Sapkota, D., Søland, T.M., Galtung, H.K., Sand, L.P., Giannecchini, S., To, K.K.W., Mendes-Correa, M.C., Giglio, D., Hasséus, B., Braz-Silva, P.H. (2020): COVID-19 salivary signature: diagnostic and research opportunities. J. Clin. Pathol., 0, 1-6.
13. Fernandes, L.L., Pacheco, V.B., Borges, L., Athwal, H.K., de Paula, Eduardo, F., Bezinelli, L., Correa, L., Jimenez, M., Dame-Teixeira, N., Lombaert, IMA., Heller, D. (2020): Saliva in the diagnosis of COVID-19: a review and new research directions. J. Dent. Res., 99, 1435-43.
14. Navazesh, M. (1993): Methods for collecting saliva. Ann. N. Y. Acad. Sci., 694, 72-7.
15. Mikkonen, J.J., Singh, S.P., Herrala, M., Lappalainen, R., Myllymaa, S., Kullaa, A.M. (2016): Salivary metabolomics in the diagnosis of oral cancer and periodontal diseases. J. Periodontal Res., 51, 431- 7.
16. Nesse, W., Abbas, F., van, der, Ploeg, I., Spijkervet, F.K., Dijkstra, P.U., Vissink, A. (2008): Periodontal inflamed surface area: quantifying inflammatory burden. J. Clin. Periodontol., 35, 668-73.
17. Kuboniwa, M., Sakanaka, A., Hashino, E., Bamba, T., Fukusaki, E., Amano, A. (2016): Prediction of Periodontal Inflammation via Metabolic Profiling of Saliva. J. Dent. Res., 95, 1381-6.
18. Hu, S., Arellano, M., Boontheung, P., Wang, J., Zhou, H., Jiang, J., Elashoff, D., Wei, R., Loo, J.A., Wong, D.T. (2008): Salivary proteomics for oral cancer biomarker discovery. Clin. Cancer. Res., 14, 6246-52.
19. Carpenter, G.H. (2013): The secretion, components, and properties of saliva. Annu. Rev. Food Sci. Technol., 4, 267-76.
20. de, Almeida, Pdel, V., Grégio, A.M., Machado, M.A., de, Lima, A.A., Azevedo, L.R. (2008): Saliva composition and functions: a comprehensive review. J. Contemp. Dent Pract., 9, 72-80.
21. 中村 洋 監修,菊谷典久・藤原祺多夫・古野正浩 編 (2003).分析試料前処理ハンドブ ック 丸善出版
22. Omori, K., Katakami, N., Arakawa, S., Yamamoto, Y., Ninomiya, H., Takahara, M., Matsuoka, T.A., Tsugawa, H., Furuno, M., Bamba, T., Fukusaki, E., Shimomura, I. (2020): Identification of Plasma Inositol and Indoxyl Sulfate as Novel Biomarker Candidates for Atherosclerosis in Patients with Type 2 Diabetes. -Findings from Metabolome Analysis Using GC/MS-. J. Atheroscler. Thromb., 27, 1053- 67.
23. Xia, J., Wishart, D.S. (2010): MSEA: a web-based tool to identify biologically meaningful patterns in quantitative metabolomic data. Nucleic Acids Res., 38, W71-7.
24. Chong, J., Soufan, O., Li, C., Caraus, I., Li, S., Bourque, G., Wishart, D.S., Xia, J. (2018): MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis. Nucleic Acids Res., 46, W486-94.
25. Kaur, I., Ellis, L.J., Romer, I., Tantra, R., Carriere, M., Allard, S., Mayne-L'Hermite, M., Minelli, C., Unger, W., Potthoff, A., Rades, S., Valsami-Jones, E. (2017): Dispersion of nanomaterials in aqueous media: towards protocol optimization. J. Vis. Exp., 130, 56074.
26. Liu, J. and Duan, Y. (2012): Saliva: a potential media for disease diagnostics and monitoring. Oral Oncol., 48, 569-77
27. 鶴ヶ谷 武雄(1982): 超音波の利用と応用.日本舟舶用機関学会誌,17,10-9
28. 福崎 英一郎 監修 (2013).メタボロミクスの先端技術と応用 (バイオテクノロジーシ リーズ),シーエムシー出版
29. Meleti, M., Quartieri, E., Antonelli, R., Pezzi, M.E., Ghezzi, B., Viani, M.V., Setti, G., Casali, E., Ferrari, E., Ciociola, T., Spisni, A., Pertinhez, T.A. (2020): Metabolic profiles of whole, parotid and submandibular/sublingual saliva. Metabolites, 10, 318.
30. Human Metabolome Technologies. The Proceedings of Metabolomics. http://hmttest.smc-msv.jp/rd/proceedings (参照 2021-1-17)
31. Cheng, Y., Li, L., Zhu, B., Liu, F., Wang, Y., Gu, X., Yan, C. (2016): Expanded metabolomics approach to profiling endogenous carbohydrates in the serum of ovarian cancer patients. J. Sep. Sci., 39, 316- 23.
32. Jung, K., Reszka, R., Kamlage, B., Bethan, B., Stephan, C., Lein, M., Kristiansen, G. (2013): Tissue metabolite profiling identifies differentiating and prognostic biomarkers for prostate carcinoma. Int. J. Cancer, 133, 2914-24.
33. Jin, R., McConnell, R., Catherine, C., Xu, S., Walker, D.I., Stratakis, N., Jones, D.P., Miller, G.W., Peng, C., Conti, D.V., Vos, M.B., Chatzi, L. (2020): Perfluoroalkyl substances and severity of nonalcoholic fatty liver in Children: An untargeted metabolomics approach. Environ. Int., 134, 105220.
34. Kawamura, N., Shinoda, K., Sato, H., Sasaki, K., Suzuki, M., Yamaki, K., Fujimori, T., Yamamoto, H., Osei-Hyiaman, D., Ohashi, Y. (2018): Plasma metabolome analysis of patients with major depressive disorder. Psychiatry Clin. Neurosci., 72, 349-61.
35. Chen, T., Yuan, H., Sun, Y.B., Song, Y.C., Lu, M., Ni, X., Han, X. (2020): Metabolomics study of the prefrontal cortex in a rat model of attention deficit hyperactivity disorder reveals the association between cholesterol metabolism disorder and hyperactive behavior. Biochem. Biophys. Res. Commun., 523, 315-21.
36. Kim, W.J. and Park, C.Y. (2013): 1,5-Anhydroglucitol in diabetes mellitus. Endocrine, 43, 33-40.
37. Sakanaka, A., Kuboniwa, M., Hashino, E., Bamba, T., Fukusaki, E., Amano, A. (2017): Distinct signatures of dental plaque metabolic byproducts dictated by periodontal inflammatory status. Sci. Rep., 7, 42818.
38. Nie, C., He, T., Zhang, W., Zhang, G., Ma, X. (2018): Branched chain amino acids: beyond nutrition metabolism. Int. J. Mol. Sci., 19, 954.
39. Fujiwara, M., Ubuka, T., Abe, T., Yukihiro, K., Tomozawa, M. (1995): Increased excretion of taurine, hypotaurine and sulfate after hypotaurine loading and capacity of hypotaurine metabolism in rats. Physiol. Chem. Phys. Med. NMR., 27, 131-7.
40. Nilsson, M., Jakobsen, T.H., Givskov, M., Twetman, S., Tolker-Nielsen, T. (2019): Oxidative stress response plays a role in antibiotic tolerance of Streptococcus mutans biofilms. Microbiology (Reading)., 165, 334-42.
41. Williamson, S., Munro, C., Pickler, R., Grap, M.J., Elswick, R.K. Jr. (2012): Comparison of biomarkers in blood and saliva in healthy adults. Nurs. Res. Pract., 246178.