Department of Advanced Diagnostic System Development, Units on Research Promotion,
Faculty of Medical Sciences, Fujita Health University

News & Topics

• August 25, 2021

• June 15, 2021

• May 15, 2021

Introduction

Pre-emptive medicine is a new paradigm shift in medicine, being the ultimate individualized medicine approach that prevents or delays disease onset by predicting and diagnosing disease onset with high accuracy at an earlier stage (hereinafter ‘unhealthy’) and implementing therapeutic intervention before disease onset. It is a dream-like concept to diagnose the degree of ill-health of an individual using new diagnostic technologies (pre-emptive diagnosis) and take appropriate measures to prevent illnesses before they occur. In the field of advanced diagnostic system development, we are developing diagnostic agents for lifestyle-related diseases, such as cancer, and mental disorders, such as depression, to achieve pre-emptive medicine. Furthermore, recently, many drugs for autoimmune diseases, such as cancer and rheumatoid arthritis, have been developed, which are effective in curing these diseases. However, the drug prices are high, and the cost of treatment can be tens of millions of yen per patient. Unfortunately, drugs are not always effective. Therefore, we aim to develop a diagnostic technology that predicts drug efficacy and side effects before drug administration through an industry–academia collaboration and pre-emptive diagnostic technology to develop diagnostic drugs that will attract global attention.

Members

Faculty members

Medical Technology

1. Blachier F, Blais A, Elango R, Saito K, Shimomura Y, Kadowaki M, Matsumoto H. Tolerable amounts of amino acids for human supplementation: summary and lessons from published peer-reviewed studies. Amino Acids. 2021 Sep;53(9):1313-1328.
2. Ishida H, Takemura M, Suetsugu A, Naiki T, Tanaka T, Eiichi T, Serrero G, Matsunami H, Yamamoto Y, Saito K. Serum GP88 as a predictive biomarker for hepatocellular carcinoma in patients with viral hepatitis C after direct-acting antiviral agents. Ann Clin Biochem. 2021 Aug 11:45632211036723.
3. Hoshi M, Kubo H, Ando T, Tashita C, Nakamoto K, Yamamoto Y, Tezuka H, Saito K. 3-Hydroxykynurenine Regulates Lipopolysaccharide-Stimulated IL-6 Production and Protects against Endotoxic Shock in Mice. Immunohorizons. 2021 Jun 28;5(6):523-534.
4. Kosuge A, Kunisawa K, Arai S, Sugawara Y, Shinohara K, Iida T, Wulaer B, Kawai T, Fujigaki H, Yamamoto Y, Saito K, Nabeshima T, Mouri A. Heat-sterilized Bifidobacterium breve prevents depression-like behavior and interleukin-1β expression in mice exposed to chronic social defeat stress. Brain Behav Immun. 2021 Aug;96:200-211.
5. Hayakawa T, Teramoto A, Kiriyama Y, Tsukamoto T, Yamada A, Saito K, Fujita H. Development of Pathological Diagnosis Support System Using Micro-computed Tomography. Acta Histochem Cytochem. 2021 Apr 28;54(2):49-56.
6. Fujigaki H, Inaba M, Osawa M, Moriyama S, Takahashi Y, Suzuki T, Yamase K, Yoshida Y, Yagura Y, Oyamada T, Takemura M, Doi Y, Saito K. Comparative Analysis of Antigen-Specific Anti-SARS-CoV-2 Antibody Isotypes in COVID-19 Patients. J Immunol. 2021 May 15;206(10):2393-2401.
7. Teramoto A, Yamada A, Tsukamoto T, Kiriyama Y, Sakurai E, Shiogama K, Michiba A, Imaizumi K, Saito K, Fujita H. Mutual stain conversion between Giemsa and Papanicolaou in cytological images using cycle generative adversarial network. Heliyon. 2021 Feb 24;7(2):e06331.
8. Wulaer B, Kunisawa K, Tanabe M, Yanagawa A, Saito K, Mouri A, Nabeshima T. Pharmacological blockade of dopamine D1- or D2-receptor in the prefrontal cortex induces attentional impairment in the object-based attention test through different neuronal circuits in mice. Mol Brain. 2021 Feb 28;14(1):43
9. Mori Y, Mouri A, Kunisawa K, Hirakawa M, Kubota H, Kosuge A, Niijima M, Hasegawa M, Kurahashi H, Murakami R, Hoshi M, Nakano T, Fujigaki S, Fujigaki H, Yamamoto Y, Nabeshima T, Saito K. Kynurenine 3-monooxygenase deficiency induces depression-like behavior via enhanced antagonism of α7 nicotinic acetylcholine receptors by kynurenic acid. Behav Brain Res. 2021 May 7;405:113191.
10. Yabe K, Yamamoto Y, Takemura M, Hara T, Tsurumi H, Serrero G, Nabeshima T, Saito K. Progranulin depletion inhibits proliferation via the transforming growth factor beta/SMAD family member 2 signaling axis in Kasumi-1 cells. Heliyon. 2021 Jan 8;7(1):e05849.
11. Toda R, Teramoto A, Tsujimoto M, Toyama H, Imaizumi K, Saito K, Fujita H. Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification. Int J Comput Assist Radiol Surg. 2021 Feb;16(2):241-251
12. Sumitomo M, Takahara K, Zennami K, Nagakawa T, Maeda Y, Shiogama K, Yamamoto Y, Muto Y, Nukaya T, Takenaka M, Fukaya K, Ichino M, Sasaki H, Saito K, Shiroki R. Tryptophan 2,3-dioxygenase in tumor cells is associated with resistance to immunotherapy in renal cell carcinoma. Cancer Sci. 2021 Mar;112(3):1038-1047.
13. Wulaer B, Kunisawa K, Kubota H, Suento WJ, Saito K, Mouri A, Nabeshima T. Prefrontal cortex, dorsomedial striatum, and dentate gyrus are necessary in the object-based attention test in mice. Mol Brain. 2020 Dec 14;13(1):171
14. Suento WJ, Kunisawa K, Wulaer B, Kosuge A, Iida T, Fujigaki S, Fujigaki H, Yamamoto Y, Tanra AJ, Saito K, Mouri A, Nabeshima T. Prefrontal cortex miR-874-3p prevents lipopolysaccharide-induced depression-like behavior through inhibition of indoleamine 2,3-dioxygenase 1 expression in mice. J Neurochem. 2021 Jun;157(6):1963-1978
    

1. Kimura R, Teramoto A, Ohno T, Saito K, Fujita H. Virtual digital subtraction angiography using multizone patch-based U-Net. Phys Eng Sci Med. 2020 Dec;43(4):1305-1315
2. Fujigaki H, Takemura M, Osawa M, Sakurai A, Nakamoto K, Seto K, Fujita T, Hata T, Akiyama H, Doi Y, Saito K. Reliability of serological tests for COVID-19: comparison of three immunochromatography test kits for SARS-CoV-2 antibodies. Heliyon. 2020 Sep 10;6(9):e04929.
3. Fujii K, Yamamoto Y, Mizutani Y, Saito K, Seishima M. Indoleamine 2,3-Dioxygenase 2 Deficiency Exacerbates Imiquimod-Induced Psoriasis-Like Skin Inflammation. Int J Mol Sci. 2020 Aug 1;21(15):5515.
4. Onishi Y, Teramoto A, Tsujimoto M, Tsukamoto T, Saito K, Toyama H, Imaizumi K, Fujita H. Investigation of pulmonary nodule classification using multi-scale residual network enhanced with 3DGAN-synthesized volumes. Radiol Phys Technol. 2020 Jun;13(2):160-169.
5. Hoshi M, Osawa Y, Nakamoto K, Morita N, Yamamoto Y, Ando T, Tashita C, Nabeshima T, Saito K. Kynurenine produced by indoleamine 2,3-dioxygenase 2 exacerbates acute liver injury by carbon tetrachloride in mice. Toxicology. 2020 May 30;438:152458.
6. Wulaer B, Kunisawa K, Hada K, Jaya Suento W, Kubota H, Iida T, Kosuge A, Nagai T, Yamada K, Nitta A, Yamamoto Y, Saito K, Mouri A, Nabeshima T. Shati/Nat8l deficiency disrupts adult neurogenesis and causes attentional impairment through dopaminergic neuronal dysfunction in the dentate gyrus. J Neurochem. 2021 May;157(3):642-655.
7. Tashita C, Hoshi M, Hirata A, Nakamoto K, Ando T, Hattori T, Yamamoto Y, Tezuka H, Tomita H, Hara A, Saito K. Kynurenine plays an immunosuppressive role in 2,4,6-trinitrobenzene sulfate-induced colitis in mice. World J Gastroenterol. 2020 Mar 7;26(9):918-932.
8. Teramoto A, Tsukamoto T, Yamada A, Kiriyama Y, Imaizumi K, Saito K, Fujita H. Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks. PLoS One. 2020 Mar 5;15(3):e0229951.
9. Murakami Y, Imamura Y, Saito K, Sakai D, Motoyama J. Author Correction: Altered kynurenine pathway metabolites in a mouse model of human attention-deficit hyperactivity/autism spectrum disorders: A potential new biological diagnostic marker. Sci Rep. 2020 Feb 28;10(1):4034.
10. Teramoto A, Yamada A, Tsukamoto T, Imaizumi K, Toyama H, Saito K, Fujita H. Decision Support System for Lung Cancer Using PET/CT and Microscopic Images. Adv Exp Med Biol. 2020;1213:73-94
11. Sakurai M, Yamamoto Y, Kanayama N, Hasegawa M, Mouri A, Takemura M, Matsunami H, Miyauchi T, Tokura T, Kimura H, Ito M, Umemura E, Boku AS, Nagashima W, Tonoike T, Kurita K, Ozaki N, Nabeshima T, Saito K. Serum Metabolic Profiles of the Tryptophan-Kynurenine Pathway in the high risk subjects of major depressive disorder. Sci Rep. 2020 Feb 6;10(1):1961.
12. Phan DH, Shin EJ, Jeong JH, Tran HQ, Sharma N, Nguyen BT, Jung TW, Nah SY, Saito K, Nabeshima T, Kim HC. Lithium attenuates d-amphetamine-induced hyperlocomotor activity in mice via inhibition of interaction between cyclooxygenase-2 and indoleamine-2,3-dioxygenase. Clin Exp Pharmacol Physiol. 2020 May;47(5):790-797.
13. Matsubara N, Teramoto A, Saito K, Fujita H. Bone suppression for chest X-ray image using a convolutional neural filter. Australas Phys Eng Sci Med. 2019 Nov 26.
14. Tran HQ, Shin EJ, Saito K, Tran TV, Phan DH, Sharma N, Kim DW, Choi SY, Jeong JH, Jang CG, Cheong JH, Nabeshima T, Kim HC. Indoleamine-2,3-dioxygenase-1 is a molecular target for the protective activity of mood stabilizers against mania-like behavior induced by d-amphetamine. Food Chem Toxicol. 2020 Feb;136:110986.
15. Onishi Y, Teramoto A, Tsujimoto M, Tsukamoto T, Saito K, Toyama H, Imaizumi K, Fujita H. Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks. Int J Comput Assist Radiol Surg. 2020 Jan;15(1):173-178.
16. Sakai A, Onishi Y, Matsui M, Adachi H, Teramoto A, Saito K, Fujita H. A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features. Radiol Phys Technol. 2020 Mar;13(1):27-36

1. Murakami Y, Imamura Y, Saito K, Sakai D, Motoyama J. Altered kynurenine pathway metabolites in a mouse model of human attention-deficit hyperactivity/autism spectrum disorders: A potential new biological diagnostic marker. Sci Rep. 2019 Sep 12;9(1):13182.
2. Yamasuge W, Yamamoto Y, Fujigaki H, Hoshi M, Nakamoto K, Kunisawa K, Mouri A, Nabeshima T, Saito K. Indoleamine 2,3-dioxygenase 2 depletion suppresses tumor growth in a mouse model of Lewis lung carcinoma. Cancer Sci. 2019 Oct;110(10):3061-3067.
3. Yoshida Y, Fujigaki H, Kato K, Yamazaki K, Fujigaki S, Kunisawa K, Yamamoto Y, Mouri A, Oda A, Nabeshima T, Saito K. Selective and competitive inhibition of kynurenine aminotransferase 2 by glycyrrhizic acid and its analogues. Sci Rep. 2019 Jul 15;9(1):10243.
4. Lu Q, Mouri A, Yang Y, Kunisawa K, Teshigawara T, Hirakawa M, Mori Y, Yamamoto Y, Libo Z, Nabeshima T, Saito K. Chronic unpredictable mild stress-induced behavioral changes are coupled with dopaminergic hyperfunction and serotonergic hypofunction in mouse models of depression. Behav Brain Res. 2019 Oct 17;372:112053.
5. Kimura A, Takemura M, Yamamoto Y, Hayashi Y, Saito K, Shimohata T. Cytokines and biological markers in autoimmune GFAP astrocytopathy: The potential role for pathogenesis and therapeutic implications. J Neuroimmunol. 2019 Sep 15;334:576999.
6. Teshigawara T, Mouri A, Kubo H, Nakamura Y, Shiino T, Okada T, Morikawa M, Nabeshima T, Ozaki N, Yamamoto Y, Saito K. Changes in tryptophan metabolism during pregnancy and postpartum periods: Potential involvement in postpartum depressive symptoms. J Affect Disord. 2019 Aug 1;255:168-176.
7. Minoura N, Teramoto A, Ito A, Yamamuro O, Nishio M, Saito K, Fujita H. A complementary scheme for automated detection of high-uptake regions on dedicated breast PET and whole-body PET/CT. Radiol Phys Technol. 2019 Sep;12(3):260-267.
8. Miyauchi T, Tokura T, Kimura H, Ito M, Umemura E, Sato Boku A, Nagashima W, Tonoike T, Yamamoto Y, Saito K, Kurita K, Ozaki N. Effect of antidepressant treatment on plasma levels of neuroinflammation-associated molecules in patients with somatic symptom disorder with predominant pain around the orofacial region. Hum Psychopharmacol. 2019 Jul;34(4):e2698.
9. Tanaka S, Oya-Ito T, Murakami Y, Saito K, Furuta S, Yu Y, Imaeda M, Kunimoto S, Ozaki N. Decline of Plasma Concentrations of Interleukin-18 in Severely Malnourished Patients with Anorexia Nervosa: Exploratory Analysis. Nutrients. 2019 Mar 3;11(3):540.
10. Kawaguchi K, Sakurai M, Yamamoto Y, Suzuki E, Tsuda M, Kataoka TR, Hirata M, Nishie M, Nojiri T, Kumazoe M, Saito K, Toi M. Alteration of specific cytokine expression patterns in patients with breast cancer. Sci Rep. 2019 Feb 27;9(1):2924.
11. Fujigaki H, Mouri A, Yamamoto Y, Nabeshima T, Saito K. Linking phencyclidine intoxication to the tryptophan-kynurenine pathway: Therapeutic implications for schizophrenia. Neurochem Int. 2019 May;125:1-6.
12. Onishi Y, Teramoto A, Tsujimoto M, Tsukamoto T, Saito K, Toyama H, Imaizumi K, Fujita H. Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks. Biomed Res Int. 2019 Jan 2;2019:6051939.
13. Teramoto A, Tsujimoto M, Inoue T, Tsukamoto T, Imaizumi K, Toyama H, Saito K, Fujita H. Automated Classification of Pulmonary Nodules through a Retrospective Analysis of Conventional CT and Two-phase PET Images in Patients Undergoing Biopsy. Asia Ocean J Nucl Med Biol. 2019 Winter;7(1):29-37.

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