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Items: 1 to 20 of 124

1.

GC/MS and LC/MS-based Tissue Metabolomic Analysis Detected Increased Levels of Antioxidant Metabolites in Colorectal Cancer.

Kibi M, Nishiumi S, Kobayashi T, Kodama Y, Yoshida M.

Kobe J Med Sci. 2019 May 24;65(1):E19-E27.

2.

β-hydroxybutyrate protects hepatocytes against endoplasmic reticulum stress in a sirtuin 1-independent manner.

Tagawa R, Kawano Y, Minami A, Nishiumi S, Yano Y, Yoshida M, Kodama Y.

Arch Biochem Biophys. 2019 Mar 15;663:220-227. doi: 10.1016/j.abb.2019.01.020. Epub 2019 Jan 18.

PMID:
30664838
3.

Serum level of octanoic acid predicts the efficacy of chemotherapy for colorectal cancer.

Iemoto T, Nishiumi S, Kobayashi T, Fujigaki S, Hamaguchi T, Kato K, Shoji H, Matsumura Y, Honda K, Yoshida M.

Oncol Lett. 2019 Jan;17(1):831-842. doi: 10.3892/ol.2018.9731. Epub 2018 Nov 19.

4.

Metabolomics-based Discovery of Serum Biomarkers to Predict the Side-effects of Neoadjuvant Chemoradiotherapy for Esophageal Squamous Cell Carcinoma.

Nishiumi S, Fujigaki S, Kobayashi T, Kojima T, Ito Y, Daiko H, Kato K, Shoji H, Kodama Y, Honda K, Yoshida M.

Anticancer Res. 2019 Jan;39(1):519-526. doi: 10.21873/anticanres.13143.

PMID:
30591504
5.

Comparative proteomics of Helicobacter pylori strains reveals geographical features rather than genomic variations.

Sugiyama N, Miyake S, Lin MH, Wakabayashi M, Marusawa H, Nishiumi S, Yoshida M, Ishihama Y.

Genes Cells. 2019 Feb;24(2):139-150. doi: 10.1111/gtc.12662. Epub 2019 Jan 20.

6.

Comparison of venous and fingertip plasma using non-targeted proteomics and metabolomics.

Nishiumi S, Kohata T, Kobayashi T, Kodama Y, Ohtsuki S, Yoshida M.

Talanta. 2019 Jan 15;192:182-188. doi: 10.1016/j.talanta.2018.09.047. Epub 2018 Sep 15.

PMID:
30348376
7.

Exploring a Novel Screening Method for Patients with Oral Squamous Cell Carcinoma: A plasma Metabolomics Analysis.

Enomoto Y, Kimoto A, Suzuki H, Nishiumi S, Yoshida M, Komori T.

Kobe J Med Sci. 2018 Sep 11;64(1):E26-E35.

8.

Alterations in metabolic pathways in gastric epithelial cells infected with Helicobacter pylori.

Matsunaga S, Nishiumi S, Tagawa R, Yoshida M.

Microb Pathog. 2018 Nov;124:122-129. doi: 10.1016/j.micpath.2018.08.033. Epub 2018 Aug 20.

PMID:
30138760
9.

Metabolomics for the early detection of cisplatin-induced nephrotoxicity.

Ezaki T, Nishiumi S, Azuma T, Yoshida M.

Toxicol Res (Camb). 2017 Aug 29;6(6):843-853. doi: 10.1039/c7tx00171a. eCollection 2017 Nov 1.

10.

Increased Levels of Branched-Chain Amino Acid Associated With Increased Risk of Pancreatic Cancer in a Prospective Case-Control Study of a Large Cohort.

Katagiri R, Goto A, Nakagawa T, Nishiumi S, Kobayashi T, Hidaka A, Budhathoki S, Yamaji T, Sawada N, Shimazu T, Inoue M, Iwasaki M, Yoshida M, Tsugane S.

Gastroenterology. 2018 Nov;155(5):1474-1482.e1. doi: 10.1053/j.gastro.2018.07.033. Epub 2018 Aug 1.

PMID:
30076838
11.

Identification of serum biomarkers of chemoradiosensitivity in esophageal cancer via the targeted metabolomics approach.

Fujigaki S, Nishiumi S, Kobayashi T, Suzuki M, Iemoto T, Kojima T, Ito Y, Daiko H, Kato K, Shouji H, Honda K, Azuma T, Yoshida M.

Biomark Med. 2018 Aug;12(8):827-840. doi: 10.2217/bmm-2017-0449. Epub 2018 Jul 25.

PMID:
30043633
12.

[Possibility of Metabolite Biomarkers for Early Detection of Cancer].

Nishiumi S, Yoshida M.

Gan To Kagaku Ryoho. 2018 Jun;45(6):894-898. Japanese.

PMID:
30026409
13.

Metabolome analysis for pancreatic cancer risk in nested case-control study: Japan Public Health Center-based prospective Study.

Nakagawa T, Kobayashi T, Nishiumi S, Hidaka A, Yamaji T, Sawada N, Hirata Y, Yamanaka K, Azuma T, Goto A, Shimazu T, Inoue M, Iwasaki M, Yoshida M, Tsugane S.

Cancer Sci. 2018 May;109(5):1672-1681. doi: 10.1111/cas.13573. Epub 2018 Apr 16.

14.

Alterations in Docosahexaenoic Acid-Related Lipid Cascades in Inflammatory Bowel Disease Model Mice.

Nishiumi S, Izumi Y, Yoshida M.

Dig Dis Sci. 2018 Jun;63(6):1485-1496. doi: 10.1007/s10620-018-5025-4. Epub 2018 Mar 21.

PMID:
29564669
15.

Serum apolipoprotein A2 isoforms in autoimmune pancreatitis.

Kobayashi T, Sato Y, Nishiumi S, Yagi Y, Sakai A, Shiomi H, Masuda A, Okaya S, Kutsumi H, Yoshida M, Honda K.

Biochem Biophys Res Commun. 2018 Mar 11;497(3):903-907. doi: 10.1016/j.bbrc.2018.02.170. Epub 2018 Feb 23.

PMID:
29481802
16.

Associations Between CagA, VacA, and the Clinical Outcomes of Helicobacter Pylori Infections in Okinawa, Japan.

Inagaki T, Nishiumi S, Ito Y, Yamakawa A, Yamazaki Y, Yoshida M, Azuma T.

Kobe J Med Sci. 2017 Nov 22;63(2):E58-E67.

17.

Differences in metabolite profiles caused by pre-analytical blood processing procedures.

Nishiumi S, Suzuki M, Kobayashi T, Yoshida M.

J Biosci Bioeng. 2018 May;125(5):613-618. doi: 10.1016/j.jbiosc.2017.11.011. Epub 2017 Dec 16.

PMID:
29258730
18.

Differences in elongation of very long chain fatty acids and fatty acid metabolism between triple-negative and hormone receptor-positive breast cancer.

Yamashita Y, Nishiumi S, Kono S, Takao S, Azuma T, Yoshida M.

BMC Cancer. 2017 Aug 29;17(1):589. doi: 10.1186/s12885-017-3554-4.

19.

Novel serum metabolomics-based approach by gas chromatography/triple quadrupole mass spectrometry for detection of human skin cancers: Candidate biomarkers.

Fukumoto T, Nishiumi S, Fujiwara S, Yoshida M, Nishigori C.

J Dermatol. 2017 Nov;44(11):1268-1275. doi: 10.1111/1346-8138.13921. Epub 2017 Jun 8.

PMID:
28593747
20.

Alterations in metabolic pathways in stomach of mice infected with Helicobacter pylori.

Nishiumi S, Yoshida M, Azuma T.

Microb Pathog. 2017 Aug;109:78-85. doi: 10.1016/j.micpath.2017.05.027. Epub 2017 May 22.

PMID:
28546118

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