Tohoku University Tohoku Medical Megabank Organization (Daisuke Saigusa)
2024.03.29

1.   Akiyama Tomoyuki, Saigusa Daisuke, Inoue Takushi, et al. Exploration of urine metabolic biomarkers for new-onset, untreated pediatric epilepsy: A gas and liquid chromatography mass spectrometry-based metabolomics study. Brain and Development. 2024; 46 (4): 180-186. doi:10.1016/j.braindev.2023.12.004  
2.   Sato Mitsuharu, Hishinuma Eiji, Matsukawa Naomi, et al. Dietary habits and plasma lipid concentrations in a general Japanese population. Metabolomics. 2024; 20 (2): 34. doi:10.1007/s11306-024-02087-1  
3.   Tadaka Shu, Kawashima Junko, Hishinuma Eiji, et al. jMorp: Japanese Multi-Omics Reference Panel update report 2023. Nucleic Acids Research. 2024; 52 (D1): D622-D632. doi:10.1093/nar/gkad978  
4.   Hishinuma Eiji, Shimada Muneaki, Matsukawa Naomi, et al. Identification of predictive biomarkers for endometrial cancer diagnosis and treatment response monitoring using plasma metabolome profiling. Cancer & Metabolism. 2023; 11 (1): 16. doi:10.1186/s40170-023-00317-z  
5.   Tatara Yota, Yamazaki Hiromi, Katsuoka Fumiki, et al. Multiomics and artificial intelligence enabled peripheral blood-based prediction of amnestic mild cognitive impairment. Current Research in Translational Medicine. 2023; 71 (1): 103367. doi:10.1016/j.retram.2022.103367  
6.   Murakami Keiko, Kuriyama Shinichi, Hashimoto Hideki. Economic, cognitive, and social paths of education to health-related behaviors: evidence from a population-based study in Japan. Environmental Health and Preventive Medicine. 2023; 28 (1): 22-00178. doi:10.1265/ehpm.22-00178  
7.   Sato Shiho, Yu Zhiqian, Sakai Mai, et al. Decreased β‐hydroxybutyrate and ketogenic amino acid levels in depressed human adults. European Journal of Neuroscience. 2023; 57 (6): 1018-1032. doi:10.1111/ejn.15931  
8.   Hishinuma Eiji, Shimada Muneaki, Matsukawa Naomi, et al. Identification of predictive biomarkers for diagnosis and radiation sensitivity of uterine cervical cancer using wide‐targeted metabolomics. Journal of Obstetrics and Gynaecology Research. 2023; 49 (8): 2109-2117. doi:10.1111/jog.15709  
9.   Sato Kota, Saigusa Daisuke, Kokubun Taiki, et al. Reduced glutathione level in the aqueous humor of patients with primary open-angle glaucoma and normal-tension glaucoma. npj Aging. 2023; 9 (1): 28. doi:10.1038/s41514-023-00124-2  
10.   Akiyama Mari, Akiyama Tomoyuki, Saigusa Daisuke, et al. Comprehensive study of metabolic changes induced by a ketogenic diet therapy using GC/MS- and LC/MS-based metabolomics. Seizure: European Journal of Epilepsy. 2023; 107 : 52-59. doi:10.1016/j.seizure.2023.03.014  
11.   Shao Xiaodong, Saito Ryuta, Sato Aya, et al. Local Delivery of Nimustine Hydrochloride against Brain Tumors: Basic Characterization Study. The Tohoku Journal of Experimental Medicine. 2023; 261 (3): 2023.J069. doi:10.1620/tjem.2023.J069  
12.   Nakai Taku, Saigusa Daisuke, Iwamura Yuma, et al. Esterification promotes the intracellular accumulation of roxadustat, an activator of hypoxia-inducible factors, to extend its effective duration. Biochemical Pharmacology. 2022; 197 : 114939. doi:10.1016/j.bcp.2022.114939  
13.   Watanabe Ayu, Balas Laurence, Saigusa Daisuke, et al. Analytical evaluation of fatty acid esters of hydroxy fatty acid quantity in fermented brown rice and rice bran (FRBA). Food Chemistry Advances. 2022; 1 : 100040. doi:10.1016/j.focha.2022.100040  
14.   Yu Zhiqian, Matsukawa Naomi, Saigusa Daisuke, et al. Plasma metabolic disturbances during pregnancy and postpartum in women with depression. iScience. 2022; 25 (12): 105666. doi:10.1016/j.isci.2022.105666  
15.   Suzuki Norio, Iwamura Yuma, Nakai Taku, et al. Gene expression changes related to bone mineralization, blood pressure and lipid metabolism in mouse kidneys after space travel. Kidney International. 2022; 101 (1): 92-105. doi:10.1016/j.kint.2021.09.031  
16.   Saigusa Daisuke, Honda Takeshi, Iwasaki Yuko, et al. Lipidomic and metabolic profiling of plasma and plasma-derived extracellular vesicles by UHPLC-MS/MS. Medical Mass Spectrometry. 2022; 6 (2): 126-137. doi:10.24508/mms.2020.06.001  
17.   Nishiumi Shin, Izumi Yoshihiro, Hirayama Akiyoshi, et al. Comparative Evaluation of Plasma Metabolomic Data from Multiple Laboratories. Metabolites. 2022; 12 (2): 135. doi:10.3390/metabo12020135  
18.   McDonald Jeffrey G., Ejsing Christer S., Kopczynski Dominik, et al. Introducing the Lipidomics Minimal Reporting Checklist. Nature Metabolism. 2022; 4 (9): 1086-1088. doi:10.1038/s42255-022-00628-3  
19.   Rashad Sherif, Byrne Shane R, Saigusa Daisuke, et al. Codon Usage and mRNA Stability are Translational Determinants of Cellular Response to Canonical Ferroptosis Inducers. Neuroscience. 2022; 501 : 103-130. doi:10.1016/j.neuroscience.2022.08.009  
20.   Liu Yexin, Uruno Akira, Saito Ritsumi, et al. Nrf2 deficiency deteriorates diabetic kidney disease in Akita model mice. Redox Biology. 2022; 58 : 102525. doi:10.1016/j.redox.2022.102525  
21.   Hoshino Yoko, Okuno Toshiaki, Saigusa Daisuke, et al. Lysophosphatidic acid receptor 1/3 antagonist inhibits the activation of satellite glial cells and reduces acute nociceptive responses. The FASEB Journal. 2022; 36 (4): . doi:10.1096/fj.202101678R  
22.   Kano Kuniyuki, Aoki Junken, Iwama Taiga, et al. Development of an on-tissue derivatization method for MALDI mass spectrometry imaging of bioactive lipids containing phosphate monoester using Phos-Tag. Analytical Chemistry. 2021; 93 (8): 3867-3875. doi:10.1021/acs.analchem.0c04479  
23.   Uchida Yasuo, Higuchi Tomoya, Shirota Matsuyuki, et al. Identification and Validation of Combination Plasma Biomarker of Afamin, Fibronectin and Sex Hormone-Binding Globulin to Predict Pre-eclampsia. Biological and Pharmaceutical Bulletin. 2021; 44 (6): 804-815. doi:10.1248/bpb.b20-01043  
24.   Uruno Akira, Saigusa Daisuke, Suzuki Takafumi, et al. Nrf2 plays a critical role in the metabolic response during and after spaceflight. Communications Biology. 2021; 4 (1): 1381. doi:10.1038/s42003-021-02904-6  
25.   Nishimura Tamako, Oyama Takuya, Hu Hooi Ting, et al. Filopodium-derived vesicles produced by MIM enhance the migration of recipient cells. Developmental Cell. 2021; 56 (6): 842-859.e8. doi:10.1016/j.devcel.2021.02.029  
26.   Kumondai Masaki, Gutiérrez Rico Evelyn Marie, Hishinuma Eiji, et al. Functional Characterization of 40 CYP3A4 Variants by Assessing Midazolam 1′-Hydroxylation and Testosterone 6 β -Hydroxylation. Drug Metabolism and Disposition. 2021; 49 (3): 212-220. doi:10.1124/dmd.120.000261  
27.   Saigusa Daisuke, Matsukawa Naomi, Hishinuma Eiji, Koshiba Seizo. Identification of biomarkers to diagnose diseases and find adverse drug reactions by metabolomics. Drug Metabolism and Pharmacokinetics. 2021; 37 : 100373. doi:10.1016/j.dmpk.2020.11.008  
28.   Kumondai Masaki, Gutiérrez Rico Evelyn, Hishinuma Eiji, et al. Functional Characterization of 21 Rare Allelic CYP1A2 Variants Identified in a Population of 4773 Japanese Individuals by Assessing Phenacetin O-Deethylation. Journal of Personalized Medicine. 2021; 11 (8): 690. doi:10.3390/jpm11080690  
29.   Kogaki Takahiro, Ohshio Ikumi, Ura Hasumi, et al. Development of a highly sensitive method for the quantitative analysis of modified nucleosides using UHPLC-UniSpray-MS/MS. Journal of Pharmaceutical and Biomedical Analysis. 2021; 197 : 113943. doi:10.1016/j.jpba.2021.113943  
30.   Saigusa Daisuke, Hishinuma Eiji, Matsukawa Naomi, et al. Comparison of Kit-Based Metabolomics with Other Methodologies in a Large Cohort, towards Establishing Reference Values. Metabolites. 2021; 11 (10): 652. doi:10.3390/metabo11100652  
31.   Ikeda Atsushi, Nagayama Satoshi, Sumazaki Makoto, et al. Colorectal Cancer–Derived CAT1-Positive Extracellular Vesicles Alter Nitric Oxide Metabolism in Endothelial Cells and Promote Angiogenesis. Molecular Cancer Research. 2021; 19 (5): 834-846. doi:10.1158/1541-7786.MCR-20-0827  
32.   Tadaka Shu, Hishinuma Eiji, Komaki Shohei, et al. jMorp updates in 2020: large enhancement of multi-omics data resources on the general Japanese population. Nucleic Acids Research. 2021; 49 (D1): D536-D544. doi:10.1093/nar/gkaa1034  
33.   Yamauchi Takafumi, Ochi Daisuke, Matsukawa Naomi, et al. Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis. Scientific Reports. 2021; 11 (1): 17777. doi:10.1038/s41598-021-97342-z  
34.   Hishinuma Eiji, Shimada Muneaki, Matsukawa Naomi, et al. Wide-Targeted Metabolome Analysis Identifies Potential Biomarkers for Prognosis Prediction of Epithelial Ovarian Cancer. Toxins. 2021; 13 (7): 461. doi:10.3390/toxins13070461  
35.   Akiyama Tomoyuki, Saigusa Daisuke, Hyodo Yuki, et al. Metabolic Profiling of the Cerebrospinal Fluid in Pediatric Epilepsy. Acta Medica Okayama. 2020; 74 (1): 65-72. doi:10.18926/AMO/57955  
36.   Sato Emiko, Hosomi Koji, Sekimoto Akiyo, et al. Effects of the oral adsorbent AST-120 on fecal p-cresol and indole levels and on the gut microbiota composition. Biochemical and Biophysical Research Communications. 2020; 525 (3): 773-779. doi:10.1016/j.bbrc.2020.02.141  
37.   Sato Emiko, Tsunokuni Yukako, Kaneko Manami, et al. Metabolomics of a mouse model of preeclampsia induced by overexpressing soluble fms-like tyrosine kinase 1. Biochemical and Biophysical Research Communications. 2020; 527 (4): 1064-1071. doi:10.1016/j.bbrc.2020.04.079  
38.   Ishii Hiroki, Saitoh Masao, Sakamoto Kaname, et al. Lipidome-based rapid diagnosis with machine learning for detection of TGF-β signalling activated area in head and neck cancer. British Journal of Cancer. 2020; 122 (7): 995-1004. doi:10.1038/s41416-020-0732-y  
39.   Saigusa Daisuke, Motoike Ikuko N., Saito Sakae, et al. Impacts of NRF2 activation in non–small‐cell lung cancer cell lines on extracellular metabolites. Cancer Science. 2020; 111 (2): 667-678. doi:10.1111/cas.14278  
40.   Koshiba Seizo, Motoike Ikuko N., Saigusa Daisuke, et al. Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population. Communications Biology. 2020; 3 (1): 662. doi:10.1038/s42003-020-01383-5  
41.   Suzuki Takafumi, Uruno Akira, Yumoto Akane, et al. Nrf2 contributes to the weight gain of mice during space travel. Communications Biology. 2020; 3 (1): 496. doi:10.1038/s42003-020-01227-2  
42.   Nishizawa Hironari, Matsumoto Mitsuyo, Shindo Tomohiko, et al. Ferroptosis is controlled by the coordinated transcriptional regulation of glutathione and labile iron metabolism by the transcription factor BACH1. Journal of Biological Chemistry. 2020; 295 (1): 69-82. doi:10.1074/jbc.RA119.009548  
43.   Shirota Matsuyuki, Saigusa Daisuke, Yamashita Riu, et al. Longitudinal plasma amino acid profiling with maternal genomic background throughout human pregnancy. Medical Mass Spectrometry. 2020; 4 (1): 36-49. doi:10.24508/mms.2020.06.001  
44.   Baird Liam, Suzuki Takafumi, Takahashi Yushi, et al. Geldanamycin-Derived HSP90 Inhibitors Are Synthetic Lethal with NRF2. Molecular and Cellular Biology. 2020; 40 (22): . doi:10.1128/MCB.00377-20  
45.   Uruno Akira, Matsumaru Daisuke, Ryoke Rie, et al. Nrf2 Suppresses Oxidative Stress and Inflammation in App Knock-In Alzheimer’s Disease Model Mice. Molecular and Cellular Biology. 2020; 40 (6): . doi:10.1128/MCB.00467-19  
46.   Miyagi Masaru, Wilson Rachel, Saigusa Daisuke, et al. Indole-3-acetic acid synthesized through the indole-3-pyruvate pathway promotes Candida tropicalis biofilm formation. PLOS ONE. 2020; 15 (12): e0244246. doi:10.1371/journal.pone.0244246  
47.   Oikawa Yoshitsugu, Izumi Rumiko, Koide Masashi, et al. Mitochondrial dysfunction underlying sporadic inclusion body myositis is ameliorated by the mitochondrial homing drug MA-5. PLOS ONE. 2020; 15 (12): e0231064. doi:10.1371/journal.pone.0231064  
48.   Nagai Koshi, Uranbileg Baasanjav, Chen Zhen, et al. Identification of novel biomarkers of hepatocellular carcinoma by high‐definition mass spectrometry: Ultrahigh‐performance liquid chromatography quadrupole time‐of‐flight mass spectrometry and desorption electrospray ionization mass spectrometry imaging. Rapid Communications in Mass Spectrometry. 2020; 34 (S1): rcm.8551. doi:10.1002/rcm.8551  
49.   Kumondai Masaki, Hishinuma Eiji, Gutiérrez Rico Evelyn Marie, et al. Heterologous expression of high-activity cytochrome P450 in mammalian cells. Scientific Reports. 2020; 10 (1): 14193. doi:10.1038/s41598-020-71035-5  
50.   Rashad Sherif, Saigusa Daisuke, Yamazaki Takahiro, et al. Metabolic basis of neuronal vulnerability to ischemia; an in vivo untargeted metabolomics approach. Scientific Reports. 2020; 10 (1): 6507. doi:10.1038/s41598-020-63483-w  
51.   Takahashi Yuta, Ueki Masao, Yamada Makoto, et al. Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection. Translational Psychiatry. 2020; 10 (1): 157. doi:10.1038/s41398-020-0831-9  
52.   Saigusa Daisuke, Saito Ritsumi, Kawamoto Komei, et al. Conductive Adhesive Film Expands the Utility of Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging. Analytical Chemistry. 2019; 91 (14): 8979-8986. doi:10.1021/acs.analchem.9b01159  
53.   Keleku-Lukwete Nadine, Suzuki Mikiko, Panda Harit, et al. Nrf2 activation in myeloid cells and endothelial cells differentially mitigates sickle cell disease pathology in mice. Blood Advances. 2019; 3 (8): 1285-1297. doi:10.1182/bloodadvances.2018017574  
54.   Sugawara Junichi, Ochi Daisuke, Yamashita Riu, et al. Maternity Log study: a longitudinal lifelog monitoring and multiomics analysis for the early prediction of complicated pregnancy. BMJ Open. 2019; 9 (2): e025939. doi:10.1136/bmjopen-2018-025939  
55.   Kurosawa Ryo, Satoh Kimio, Kikuchi Nobuhiro, et al. Identification of Celastramycin as a Novel Therapeutic Agent for Pulmonary Arterial Hypertension: High-Throughput Screening of 5562 Compounds. Circulation Research. 2019; 125 (3): 309-327. doi:10.1161/CIRCRESAHA.119.315229  
56.   Fujishima Fumiyoshi, Katsushima Hiroki, Fukuhara Noriko, et al. Immunohistochemical pattern of c-MYC protein judged as “+/(weak)+/−” by a new notation correlates with MYC gene nontranslocation in large B-cell lymphoma. Human Pathology. 2019; 85 (3): 112-118. doi:10.1016/j.humpath.2018.10.025  
57.   Sato Tomonori, Kawasaki Yoshihide, Maekawa Masamitsu, et al. Value of global metabolomics in association with diagnosis and clinicopathological factors of renal cell carcinoma. International Journal of Cancer. 2019; 145 (2): 484-493. doi:10.1002/ijc.32115  
58.   Maekawa, Jinnoh, Matsumoto, et al. Structural Determination of Lysosphingomyelin-509 and Discovery of Novel Class Lipids from Patients with Niemann–Pick Disease Type C. International Journal of Molecular Sciences. 2019; 20 (20): 5018. doi:10.3390/ijms20205018  
59.   Maekawa Masamitsu, Jinnoh Isamu, Narita Aya, et al. Investigation of diagnostic performance of five urinary cholesterol metabolites for Niemann-Pick disease type C. Journal of Lipid Research. 2019; 60 (12): 2074-2081. doi:10.1194/jlr.M093971  
60.   Wang Jiao, Kano Kuniyuki, Saigusa Daisuke, Aoki Junken. Measurement of the Spatial Distribution of S1P in Small Quantities of Tissues: Development and Application of a Highly Sensitive LC-MS/MS Method Combined with Laser Microdissection. Mass Spectrometry. 2019; 8 (1): A0072-A0072. doi:10.5702/massspectrometry.A0072  
61.   Izumi Yoshihiro, Matsuda Fumio, Hirayama Akiyoshi, et al. Inter-Laboratory Comparison of Metabolite Measurements for Metabolomics Data Integration. Metabolites. 2019; 9 (11): 257. doi:10.3390/metabo9110257  
62.   Kikuchi Koichi, Saigusa Daisuke, Kanemitsu Yoshitomi, et al. Gut microbiome-derived phenyl sulfate contributes to albuminuria in diabetic kidney disease. Nature Communications. 2019; 10 (1): 1835. doi:10.1038/s41467-019-09735-4  
63.   Nanto-Hara Fumika, Kanemitsu Yoshitomi, Fukuda Shinji, et al. The guanylate cyclase C agonist linaclotide ameliorates the gut–cardio–renal axis in an adenine-induced mouse model of chronic kidney disease. Nephrology Dialysis Transplantation. 2019; 35 (2): 250–264. doi:10.1093/ndt/gfz126  
64.   Saigusa Daisuke, Matsukawa Naomi, Tadaka Shu, et al. Metabolome Analysis of Human Plasma by GC-MS/MS in a Large-scale Cohort. Proteome Letters. 2019; 4 (1): 31-40. doi:10.14889/jpros.4.1_31  
65.   Uranbileg Baasanjav, Ito Nobuko, Kurano Makoto, et al. Alteration of the lysophosphatidic acid and its precursor lysophosphatidylcholine levels in spinal cord stenosis: A study using a rat cauda equina compression model. Scientific Reports. 2019; 9 (1): 16578. doi:10.1038/s41598-019-52999-5  
66.   Kanemitsu Yoshitomi, Mishima Eikan, Maekawa Masamitsu, et al. Comprehensive and semi-quantitative analysis of carboxyl-containing metabolites related to gut microbiota on chronic kidney disease using 2-picolylamine isotopic labeling LC-MS/MS. Scientific Reports. 2019; 9 (1): 19075. doi:10.1038/s41598-019-55600-1  
67.   Ishimaru Kazuhiro, Yoshioka Kazuaki, Kano Kuniyuki, et al. Sphingosine kinase-2 prevents macrophage cholesterol accumulation and atherosclerosis by stimulating autophagic lipid degradation. Scientific Reports. 2019; 9 (1): 18329. doi:10.1038/s41598-019-54877-6  
68.   Yasuda Jun, Kinoshita Kengo, Katsuoka Fumiki, et al. Genome analyses for the Tohoku Medical Megabank Project towards establishment of personalized healthcare. The Journal of Biochemistry. 2019; 165 (2): 139-158. doi:10.1093/jb/mvy096  
69.   Dodo Mina, Kitamura Hiroshi, Shima Hiroki, et al. Lactate dehydrogenase C is required for the protein expression of a sperm-specific isoform of lactate dehydrogenase A. The Journal of Biochemistry. 2019; 165 (4): 323-334. doi:10.1093/jb/mvy108  
70.   Mishima Eikan, Fukuda Shinji, Kanemitsu Yoshitomi, et al. Canagliflozin reduces plasma uremic toxins and alters the intestinal microbiota composition in a chronic kidney disease mouse model. American Journal of Physiology-Renal Physiology. 2018; 315 (4): F824-F833. doi:10.1152/ajprenal.00314.2017  
71.   Watanabe Takashi, Saito Takahiro, Rico Evelyn Marie Gutiérrez, et al. Functional characterization of 40 CYP2B6 allelic variants by assessing efavirenz 8-hydroxylation. Biochemical Pharmacology. 2018; 156 : 420-430. doi:10.1016/j.bcp.2018.09.010  
72.   Uranbileg Baasanjav, Nishikawa Takeshi, Ikeda Hitoshi, et al. Evidence Suggests Sphingosine 1-Phosphate Might Be Actively Generated, Degraded, and Transported to Extracellular Spaces With Increased S1P2 and S1P3 Expression in Colon Cancer. Clinical Colorectal Cancer. 2018; 17 (2): e171-e182. doi:10.1016/j.clcc.2017.11.004  
73.   Tachikawa Masanori, Sumiyoshiya Yuna, Saigusa Daisuke, et al. Liver Zonation Index of Drug Transporter and Metabolizing Enzyme Protein Expressions in Mouse Liver Acinus. Drug Metabolism and Disposition. 2018; 46 (5): 610-618. doi:10.1124/dmd.117.079244  
74.   Saito Takahiro, Gutiérrez Rico Evelyn Marie, Kikuchi Aoi, et al. Functional characterization of 50 CYP2D6 allelic variants by assessing primaquine 5-hydroxylation. Drug Metabolism and Pharmacokinetics. 2018; 33 (6): 250-257. doi:10.1016/j.dmpk.2018.08.004  
75.   Koshiba Seizo, Motoike Ikuko, Saigusa Daisuke, et al. Omics research project on prospective cohort studies from the Tohoku Medical Megabank Project. Genes to Cells. 2018; 23 (6): 406-417. doi:10.1111/gtc.12588  
76.   Yamaguchi-Kabata Yumi, Yasuda Jun, Tanabe Osamu, et al. Evaluation of reported pathogenic variants and their frequencies in a Japanese population based on a whole-genome reference panel of 2049 individuals. Journal of Human Genetics. 2018; 63 (2): 213-230. doi:10.1038/s10038-017-0347-1  
77.   Tadaka Shu, Saigusa Daisuke, Motoike Ikuko N., et al. jMorp: Japanese Multi Omics Reference Panel. Nucleic Acids Research. 2018; 46 (D1): D551-D557. doi:10.1093/nar/gkx978  
78.   Sato Kota, Saigusa Daisuke, Saito Ritsumi, et al. Metabolomic changes in the mouse retina after optic nerve injury. Scientific Reports. 2018; 8 (1): 11930. doi:10.1038/s41598-018-30464-z  
79.   Takahashi Nobuyuki, Li Feng, Fushima Tomofumi, et al. Vitamin B3 Nicotinamide: A Promising Candidate for Treating Preeclampsia and Improving Fetal Growth. The Tohoku Journal of Experimental Medicine. 2018; 244 (3): 243-248. doi:10.1620/tjem.244.243  
80.   Yagishita Yoko, Uruno Akira, Fukutomi Toshiaki, et al. Nrf2 Improves Leptin and Insulin Resistance Provoked by Hypothalamic Oxidative Stress. Cell Reports. 2017; 18 (8): 2030-2044. doi:10.1016/j.celrep.2017.01.064  
81.   Matsuhashi Tetsuro, Sato Takeya, Kanno Shin-ichiro, et al. Mitochonic Acid 5 (MA-5) Facilitates ATP Synthase Oligomerization and Cell Survival in Various Mitochondrial Diseases. EBioMedicine. 2017; 20 : 27-38. doi:10.1016/j.ebiom.2017.05.016  
82.   Kanemitsu Yoshitomi, Asaji Kei, Matsumoto Yotaro, et al. Simultaneous quantitative analysis of uremic toxins by LC–MS/MS with a reversed-phase/cation-exchange/anion-exchange tri-modal mixed-mode column. Journal of Chromatography B. 2017; 1068-1069 : 1-8. doi:10.1016/j.jchromb.2017.10.009  
83.   Yokoro Miyuki, Nakayama Yosuke, Yamagishi Sho-ichi, et al. Asymmetric Dimethylarginine Contributes to the Impaired Response to Erythropoietin in CKD-Anemia. Journal of the American Society of Nephrology. 2017; 28 (9): 2670-2680. doi:10.1681/ASN.2016111184  
84.   Nezu Masahiro, Souma Tomokazu, Yu Lei, et al. Transcription factor Nrf2 hyperactivation in early-phase renal ischemia-reperfusion injury prevents tubular damage progression. Kidney International. 2017; 91 (2): 387-401. doi:10.1016/j.kint.2016.08.023  
85.   Shima Hisato, Sasaki Kensuke, Suzuki Takehiro, et al. A novel indole compound MA-35 attenuates renal fibrosis by inhibiting both TNF-α and TGF-β1 pathways. Scientific Reports. 2017; 7 (1): 1884. doi:10.1038/s41598-017-01702-7  
86.   Kanoh Naoki, Mano Kosuke, Saigusa Daisuke, et al. Design and synthesis of the penta(acetoxymethyl) ester of dioctanoyl phosphatidylinositol-3,5-bisphosphate. Bioorganic & Medicinal Chemistry Letters. 2016; 26 (23): 5770-5772. doi:10.1016/j.bmcl.2016.10.046  
87.   Satoh Hironori, Moriguchi Takashi, Saigusa Daisuke, et al. NRF2 Intensifies Host Defense Systems to Prevent Lung Carcinogenesis, but After Tumor Initiation Accelerates Malignant Cell Growth. Cancer Research. 2016; 76 (10): 3088-3096. doi:10.1158/0008-5472.CAN-15-1584  
88.   Sato Emiko, Tsunokuni Yukako, Fushima Tomofumi, et al. OS 08-06 METABOLOMIC ANALYSIS OF A MOUSE MODEL OF PREECLAMPSIA INDUCED BY OVERPRODUCING sFlt-1. Journal of Hypertension. 2016; 34 (Supplement 1): e69. doi:10.1097/01.hjh.0000500031.24401.46  
89.   Suzuki Takehiro, Yamaguchi Hiroaki, Kikusato Motoi, et al. Mitochonic Acid 5 Binds Mitochondria and Ameliorates Renal Tubular and Cardiac Myocyte Damage. Journal of the American Society of Nephrology. 2016; 27 (7): 1925-1932. doi:10.1681/ASN.2015060623  
90.   Maekawa Masamitsu, Omura Kaoru, Sekiguchi Shoutaro, et al. Identification of Two Sulfated Cholesterol Metabolites Found in the Urine of a Patient with Niemann–Pick Disease Type C as Novel Candidate Diagnostic Markers. Mass Spectrometry. 2016; 5 (2): S0053-S0053. doi:10.5702/massspectrometry.S0053  
91.   Saigusa Daisuke, Okamura Yasunobu, Motoike Ikuko N., et al. Establishment of Protocols for Global Metabolomics by LC-MS for Biomarker Discovery. PLOS ONE. 2016; 11 (8): e0160555. doi:10.1371/journal.pone.0160555  
92.   Uranbileg Baasanjav, Ikeda Hitoshi, Kurano Makoto, et al. Increased mRNA Levels of Sphingosine Kinases and S1P Lyase and Reduced Levels of S1P Were Observed in Hepatocellular Carcinoma in Association with Poorer Differentiation and Earlier Recurrence. PLOS ONE. 2016; 11 (2): e0149462. doi:10.1371/journal.pone.0149462  
93.   Li Feng, Fushima Tomofumi, Oyanagi Gen, et al. Nicotinamide benefits both mothers and pups in two contrasting mouse models of preeclampsia. Proceedings of the National Academy of Sciences. 2016; 113 (47): 13450-13455. doi:10.1073/pnas.1614947113  
94.   Sato Emiko, Mori Takefumi, Mishima Eikan, et al. Metabolic alterations by indoxyl sulfate in skeletal muscle induce uremic sarcopenia in chronic kidney disease. Scientific Reports. 2016; 6 (1): 36618. doi:10.1038/srep36618  
95.   Sato Masaya, Ikeda Hitoshi, Uranbileg Baasanjav, et al. Sphingosine kinase-1, S1P transporter spinster homolog 2 and S1P2 mRNA expressions are increased in liver with advanced fibrosis in human. Scientific Reports. 2016; 6 (1): 32119. doi:10.1038/srep32119  
96.   Koshiba Seizo, Motoike Ikuko, Kojima Kaname, et al. The structural origin of metabolic quantitative diversity. Scientific Reports. 2016; 6 (1): 31463. doi:10.1038/srep31463  
97.   Iwamori Saki, Sato Emiko, Saigusa Daisuke, et al. A novel and sensitive assay for heme oxygenase activity. American Journal of Physiology-Renal Physiology. 2015; 309 (7): F667-F671. doi:10.1152/ajprenal.00210.2015  
98.   Takahashi Tomohiro, Saigusa Daisuke, Takeda Chihiro, et al. Determination of Sphingolipids by LC-MS/MS. Bioactive Lipid Mediators. 2015; : 357-370. doi:10.1007/978-4-431-55669-5_26  
99.   Saito Takahiro, Honda Masashi, Takahashi Masamitsu, et al. Functional characterization of 10 CYP4A11 allelic variants to evaluate the effect of genotype on arachidonic acid ω-hydroxylation. Drug Metabolism and Pharmacokinetics. 2015; 30 (1): 119-122. doi:10.1016/j.dmpk.2014.09.001  
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