| 1. | 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 | ||
| 2. | 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 | ||
| 3. | 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 | ||
| 4. | 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 | ||
| 5. | 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 | ||
| 6. | 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 | ||
| 7. | 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 | ||
| 8. | 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 | ||
| 9. | 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 | ||
| 10. | 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 | ||
| 11. | 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 | ||
| 12. | 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 | ||
| 13. | 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 | ||
| 14. | 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 | ||
| 15. | 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 | ||
| 16. | 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 | ||
| 17. | 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 | ||
| 18. | 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 | ||
| 19. | 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 | ||
| 20. | Wojcicki Janet M., Tsuchiya Kenji J., Murakami Keiko, et al. Limited consumption of 100% fruit juices and sugar sweetened beverages in Japanese toddler and preschool children. Preventive Medicine Reports. 2021; 23 (8): 101409. doi:10.1016/j.pmedr.2021.101409 | ||
| 21. | 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 | ||
| 22. | 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 | ||
| 23. | 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 | ||
| 24. | 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 | ||
| 25. | 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 | ||
| 26. | 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 | ||
| 27. | 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 | ||
| 28. | 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 | ||
| 29. | 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 | ||
| 30. | 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 | ||
| 31. | 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 | ||
| 32. | 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 | ||
| 33. | 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 | ||
| 34. | 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 | ||
| 35. | 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 | ||
| 36. | 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 | ||
| 37. | 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 | ||
| 38. | 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 | ||
| 39. | 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 | ||
| 40. | 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 | ||
| 41. | 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 | ||
| 42. | 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 | ||
| 43. | 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 | ||
| 44. | 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 | ||
| 45. | 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 | ||
| 46. | 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 | ||
| 47. | 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 | ||
| 48. | 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 | ||
| 49. | 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 | ||
| 50. | 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 | ||
| 51. | 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 | ||
| 52. | 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 | ||
| 53. | 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 | ||
| 54. | 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 | ||
| 55. | 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 | ||
| 56. | 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 | ||
| 57. | 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 | ||
| 58. | 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 | ||
| 59. | 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 | ||
| 60. | 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 | ||
| 61. | 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 | ||
| 62. | 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 | ||
| 63. | 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 | ||
| 64. | 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 | ||
| 65. | 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 | ||
| 66. | 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 | ||
| 67. | 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 | ||
| 68. | 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 | ||
| 69. | 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 | ||
| 70. | 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 | ||
| 71. | 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 | ||
| 72. | 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 | ||
| 73. | 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 | ||
| 74. | 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 | ||
| 75. | 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 | ||
| 76. | 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 | ||
| 77. | 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 | ||
| 78. | 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 | ||
| 79. | 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 | ||
| 80. | 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 | ||
| 81. | 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 | ||
| 82. | 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 | ||
| 83. | 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 | ||
| 84. | 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 | ||
| 85. | 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 | ||
| 86. | 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 | ||
| 87. | 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 | ||
| 88. | Suzuki Takehiro, Yamaguchi Hiroaki, Kikusato Motoi, et al. Mitochonic Acid 5 (MA-5), a Derivative of the Plant Hormone Indole-3-Acetic Acid, Improves Survival of Fibroblasts from Patients with Mitochondrial Diseases. The Tohoku Journal of Experimental Medicine. 2015; 236 (3): 225-232. doi:10.1620/tjem.236.225 | ||
| 89. | Okudaira Michiyo, Inoue Asuka, Shuto Akira, et al. Separation and quantification of 2-acyl-1-lysophospholipids and 1-acyl-2-lysophospholipids in biological samples by LC-MS/MS. Journal of Lipid Research. 2014; 55 (10): 2178-2192. doi:10.1194/jlr.D048439 | ||
| 90. | Mishima Eikan, Inoue Chisako, Saigusa Daisuke, et al. Conformational Change in Transfer RNA Is an Early Indicator of Acute Cellular Damage. Journal of the American Society of Nephrology. 2014; 25 (10): 2316-2326. doi:10.1681/ASN.2013091001 | ||
| 91. | Saigusa Daisuke, Okudaira Michiyo, Wang Jiao, et al. Simultaneous Quantification of Sphingolipids in Small Quantities of Liver by LC-MS/MS. Mass Spectrometry. 2014; 3 (Special_Issue_3): S0046-S0046. doi:10.5702/massspectrometry.S0046 | ||
| 92. | Mullen William, Saigusa Daisuke, Abe Takaaki, et al. Proteomics and Metabolomics as Tools to Unravel Novel Culprits and Mechanisms of Uremic Toxicity: Instrument or Hype?. Seminars in Nephrology. 2014; 34 (2): 180-190. doi:10.1016/j.semnephrol.2014.02.009 | ||
| 93. | Nakanaga Keita, Hama Kotaro, Kano Kuniyuki, et al. Overexpression of autotaxin, a lysophosphatidic acid-producing enzyme, enhances cardia bifida induced by hypo-sphingosine-1-phosphate signaling in zebrafish embryo. The Journal of Biochemistry. 2014; 155 (4): 235-241. doi:10.1093/jb/mvt114 | ||
| 94. | Nakamura Atsushi, Ebina-Shibuya Risa, Itoh-Nakadai Ari, et al. Transcription repressor Bach2 is required for pulmonary surfactant homeostasis and alveolar macrophage function. Journal of Experimental Medicine. 2013; 210 (11): 2191-2204. doi:10.1084/jem.20130028 |