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Shigeta K, Hasegawa M, Kosaka T, Hishiki T, Ryuichi M, Miyajima A, Suematsu M, Kikuchi E, Oya M. Isocitrate dehydrogenase 2 regulates intracellular metabolic reprogramming in chemo-resistant urothelial carcinoma. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)00840-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Misawa J, Ichikawa R, Shibuya A, Maeda Y, Arai I, Hishiki T, Kondo Y. The impact of uncertainty in society on the use of traditional, complementary and alternative medicine: a comparative study on visits to alternative/traditional/folk health care practitioners. Altern Ther Health Med 2019; 19:251. [PMID: 31500604 PMCID: PMC6734350 DOI: 10.1186/s12906-019-2662-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 08/29/2019] [Indexed: 12/31/2022]
Abstract
Background While traditional, complementary and alternative medicine (TCAM) is gaining increased interest worldwide, the structural factors associated with the usage of TCAM at the social level have not been sufficiently explored. We aim to understand the social structure of uncertainty in society that affects the TCAM usage for men and women. Methods We studied 32 countries using data from the International Social Survey Programme and the World Bank. In this study, we defined TCAM usage as visits to an alternative/traditional/folk health care practitioner during the past 12 months. We performed a correlation analysis and used a generalized linear model . Results The prevalence of TCAM usage in terms of visits to practitioners was 26.1% globally, while usage varied across the 32 countries. Generalized linear models showed that unemployment rate was associated with the prevalence of TCAM usage in terms of visits to practitioners. Conclusions At the social-structural level TCAM usage involving visits to practitioners was related to job insecurity. Job insecurity led to a decrease in TCAM usage regarding visits to practitioners. These findings suggest that it is necessary to consider the social-structural factors of uncertainty in society when designing health policies related to TCAM. Electronic supplementary material The online version of this article (10.1186/s12906-019-2662-x) contains supplementary material, which is available to authorized users.
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Maeda Y, Ichikawa R, Misawa J, Shibuya A, Hishiki T, Maeda T, Yoshino A, Kondo Y. External validation of the TRISS, CRASH, and IMPACT prognostic models in severe traumatic brain injury in Japan. PLoS One 2019; 14:e0221791. [PMID: 31449548 PMCID: PMC6709937 DOI: 10.1371/journal.pone.0221791] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 08/14/2019] [Indexed: 12/04/2022] Open
Abstract
In Japan, a range of patients with traumatic brain injury (TBI) has been recorded in a nationwide database (Japan Neurotrauma Data Bank; JNTDB). This study aimed to externally validate three international prediction models using JNTDB data: Trauma and Injury Severity Score (TRISS), Corticosteroid Randomization After Significant Head Injury (CRASH), and International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT). We also aimed to validate the applicability of these models in the Japanese population. Of 1,091 patients registered in the JNTDB from July 2009 to June 2011, we analyzed data for 635 patients. We examined factors associated with mortality in-hospital and unfavorable outcomes 6 months after TBI by applying the TRISS, CRASH, and IMPACT models. We also conducted an external validation of these models based on these data. The patients’ mean age was 60.1 ±21.1 years, and 342 were alive at the time of discharge (53.9%). Univariate analysis revealed eight major risk factors for mortality in-hospital: age, Glasgow Coma Scale (GCS), Injury Severity Score (ISS), systolic blood pressure, heart rate, mydriasis, acute epidural hematoma (AEDH), and traumatic subarachnoid hemorrhage. A similar analysis identified five risk factors for unfavorable outcomes at 6 months: age, GCS, ISS, mydriasis, and AEDH. For mortality in-hospital, the TRISS had a satisfactory area under the curve value (0.75). For unfavorable outcomes at 6 months, the CRASH (basic and computed tomography) and IMPACT (core and core extended) models had satisfactory area under the curve values (0.86, 0.86, 0.81, and 0.85, respectively). The TRISS, CRASH, and IMPACT models were suitable for application to the JNTDB population, indicating these models had high value in Japanese patients with neurotrauma.
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Affiliation(s)
- Yukihiro Maeda
- Department of Health Care Services Management, Nihon University School of Medicine, Tokyo, Japan
| | - Rie Ichikawa
- Department of Health Care Services Management, Nihon University School of Medicine, Tokyo, Japan
- Department of Pediatrics and Child Health, Nihon University School of Medicine, Tokyo, Japan
- * E-mail:
| | - Jimpei Misawa
- Department of Health Care Services Management, Nihon University School of Medicine, Tokyo, Japan
| | - Akiko Shibuya
- Department of Health Care Services Management, Nihon University School of Medicine, Tokyo, Japan
- Department of Nursing, Toyama Prefectural University School of Nursing, Toyama, Japan
| | - Teruyoshi Hishiki
- Department of Information Science, Faculty of Science, Toho University, Chiba, Japan
| | - Takeshi Maeda
- Department of Neurological Surgery, Nihon University School of Medicine, Tokyo, Japan
| | - Atsuo Yoshino
- Department of Neurological Surgery, Nihon University School of Medicine, Tokyo, Japan
| | - Yoshiaki Kondo
- Department of Health Care Services Management, Nihon University School of Medicine, Tokyo, Japan
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Misawa J, Ichikawa R, Shibuya A, Maeda Y, Hishiki T, Kondo Y. The prevalence of mental distress before the Great East Japan Earthquake and the associated impact of an aged society: An ecological study. PLoS One 2018; 13:e0203985. [PMID: 30256822 PMCID: PMC6157873 DOI: 10.1371/journal.pone.0203985] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 09/02/2018] [Indexed: 11/18/2022] Open
Abstract
Various studies have determined that the Great East Japan Earthquake (GEJE) caused mental distress among residents in affected areas. However, previous studies had not considered the prevalence of mental distress before the GEJE, and ignored the impact of an aged society on mental distress. Therefore, we aimed to describe the prevalence of mental distress before the GEJE in Miyagi Prefecture, Japan and elucidate the effect of an aged society on mental distress. We conducted an ecological study, using municipality in Miyagi Prefecture as the study unit. We used the cross-sectional mail survey data conducted in February 2011. We performed a correlation analysis in each of the 39 municipalities in Miyagi Prefecture. The prevalence of serious mental distress was 9.1%. The proportion of the population aged 65 years or older was related to the prevalence of serious mental distress in municipalities with a low proportion of all workers engaged in primary industry and with a high estimated number of inpatients with mental illness. We found that residents in Miyagi Prefecture suffered from poor mental health before the GEJE. Aged society was related to serious mental distress in the areas with advanced industrial structure and more patients with mental illness. We should approach mental health problems in the context of social structure, particularly in an aged society, based on facts about mental distress before the GEJE.
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Affiliation(s)
- Jimpei Misawa
- Department of Health Care Services Management, Nihon University School of Medicine, Itabashi, Tokyo, Japan
- * E-mail:
| | - Rie Ichikawa
- Department of Health Care Services Management, Nihon University School of Medicine, Itabashi, Tokyo, Japan
- Department of Pediatrics and Child Health, Nihon University School of Medicine, Itabashi, Tokyo, Japan
| | - Akiko Shibuya
- Department of Health Care Services Management, Nihon University School of Medicine, Itabashi, Tokyo, Japan
| | - Yukihiro Maeda
- Department of Health Care Services Management, Nihon University School of Medicine, Itabashi, Tokyo, Japan
| | - Teruyoshi Hishiki
- Department of Information Science, Faculty of Science, Toho University, Funabashi, Chiba, Japan
| | - Yoshiaki Kondo
- Department of Health Care Services Management, Nihon University School of Medicine, Itabashi, Tokyo, Japan
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Shibuya A, Misawa J, Maeda Y, Ichikawa R, Kamata M, Inoue R, Morimoto T, Nakayama M, Hishiki T, Kondo Y. Psychometric validation of a new measurement instrument for time-oriented patient information in electronic medical records: A questionnaire survey of physicians. J Eval Clin Pract 2017; 23:1459-1465. [PMID: 28990315 DOI: 10.1111/jep.12824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 08/08/2017] [Accepted: 08/09/2017] [Indexed: 11/30/2022]
Abstract
RATIONALE, AIMS, AND OBJECTIVES Time is an important element in medical data. Physicians record and store information about patients' disease progress and treatment response in electronic medical records (EMRs). Because EMRs use timestamps, physicians can identify patterns over time regarding a patient's disease and treatment (eg, laboratory values and medications). However, analyses of physicians' use and satisfaction with EMRs have focused on functionality, storage, and system operation rather than the use of time-oriented information. This study aimed to understand physicians' needs regarding time-oriented patient information in EMRs in clinical practice. METHODS The reliability and validity of the items in the questionnaire were evaluated in 87 physicians at a national university hospital. Internal consistency was satisfactory (Cronbach alpha coefficient, 0.87). RESULTS Four dimensions were identified in exploratory factor analysis. Correlations between the 4 dimensions supported the construct validity of the items. Scores of time-oriented patients' medical history in the 4 dimensions showed a significant association with physician age. Based on confirmatory factor analysis, associations were significant and positive (P < .001). In terms of the needs of physicians regarding time-oriented patient information in EMRs, both time-oriented treatment results followed by time-oriented team information had significant positive associations. CONCLUSION Our study suggests that 4 specific time-oriented patient information factors in EMRs are needed by physicians. Exploring physicians' needs regarding patient-specific time-oriented information may provide a better understanding of the barriers facing the adoption and use of EMRs (eg, decision-making and practice safety concerns) and lead to better acceptance of EMRs in physicians' clinical practices.
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Affiliation(s)
- Akiko Shibuya
- Department of Health Care Services Management, Nihon University School of Medicine, Tokyo, Japan
| | - Jimpei Misawa
- Department of Health Care Services Management, Nihon University School of Medicine, Tokyo, Japan
| | - Yukihiro Maeda
- Department of Health Care Services Management, Nihon University School of Medicine, Tokyo, Japan
| | - Rie Ichikawa
- Department of Health Care Services Management, Nihon University School of Medicine, Tokyo, Japan.,Department of Pediatrics and Child Health, Nihon University School of Medicine, Tokyo, Japan
| | - Michiyo Kamata
- Department of Nursing, Tohoku Fukushi University, Sendai, Japan
| | - Ryusuke Inoue
- Medical Informatics Center, Tohoku University Hospital, Sendai, Japan
| | - Tetsuji Morimoto
- Division of Pediatrics, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Masaharu Nakayama
- Medical Informatics Center, Tohoku University Hospital, Sendai, Japan.,Department of Medical Informatics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | | | - Yoshiaki Kondo
- Department of Health Care Services Management, Nihon University School of Medicine, Tokyo, Japan
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Kajimura M, Takenouchi T, Sugiura Y, Hishiki T, Matsuura T, Suematsu M. Neuroprotective effects by hypothermia are mediated through a coordinated suppression of acetyl coa contents leading to a decrease in acetylcholine contents in neonatal hypoxia-ischemia. J Neurol Sci 2017. [DOI: 10.1016/j.jns.2017.08.3692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Hishiki T, Torikai H. A Novel Rotate-and-Fire Digital Spiking Neuron and its Neuron-Like Bifurcations and Responses. ACTA ACUST UNITED AC 2011; 22:752-67. [DOI: 10.1109/tnn.2011.2116802] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Hiyama E, Kamimatsuse A, Kamei N, Watanabe K, Hishiki T, Tajiri T, Ida K, Yano M, Kondo S, Sasaki F. Cisplatin plus pirarubicin chemotherapy and combination ifomide, etoposide, pirarubicin, and carboplatin chemotherapy for hepatoblastoma. J Clin Oncol 2010. [DOI: 10.1200/jco.2010.28.15_suppl.9534] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Komatsu S, Takenobu H, Ozaki T, Ando K, Koida N, Suenaga Y, Ichikawa T, Hishiki T, Chiba T, Iwama A, Yoshida H, Ohnuma N, Nakagawara A, Kamijo T. Plk1 regulates liver tumor cell death by phosphorylation of TAp63. Oncogene 2009; 28:3631-41. [PMID: 19668228 DOI: 10.1038/onc.2009.216] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2008] [Revised: 06/17/2009] [Accepted: 06/23/2009] [Indexed: 01/10/2023]
Abstract
We previously found that Plk1 inhibited the p53/p73 activity through its direct phosphorylation. In this study, we investigated the functional role of Plk1 in modulating the p53 family member TAp63, resulting in the control of apoptotic cell death in liver tumor cells. Immunoprecipitation and in vitro pull-down assay showed that p63 binds to the kinase domain of Plk1 through its DNA-binding region. in vitro kinase assay indicated that p63 is phosphorylated by Plk1 at Ser-52 of the transactivating (TA) domain. Plk1 decreased the protein stability of TAp63 by its phosphorylation and suppressed TAp63-induced cell death. Furthermore, Plk1 knockdown in p53-mutated liver tumor cells transactivated p53 family downstream effectors, PUMA, p21(Cip1/WAF1) and 14-3-3sigma, and induced apoptotic cell death. Double knockdown of Plk1/p63 attenuated Plk1 knockdown-induced apoptotic cell death and transactivation. Intriguingly, both Plk1 and p63 are highly expressed in the side population (SP) fraction of liver tumor cells compared to non-SP fraction cells, suggesting the significance of Plk1/TAp63 in the control of cell death in tumor-initiating SP fraction cells. Thus, Plk1 controls TAp63 by its phosphorylation and regulates apoptotic cell death in liver tumor cells. Plk1/TAp63 may be a suitable candidate as a molecular target of liver tumor treatments.
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Affiliation(s)
- S Komatsu
- Division of Biochemistry, Chiba Cancer Center Research Institute, Chiba, Japan
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Hishiki T, Tamada I, Okubo K. Gene-L'EXPO: a tool to extract knowledge From transcriptomes and find 'Literature-Sparse' relationships between genes and tissues. AMIA Annu Symp Proc 2008; 2008:313-317. [PMID: 18999036 PMCID: PMC2656066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/14/2008] [Revised: 07/15/2008] [Indexed: 05/27/2023]
Abstract
The increasing volume and diversity of transcriptome data in the public domain offer an opportunity to advance new questions and hypotheses. We anticipate that tools that can visualize the gap in the distribution of information between the scientific literature and actual data would prompt such questions. We focused on the roles played by various genes in tissues, and have developed a database that contrasts information on gene expression in tissues with PubMed text and transcriptome data. Data pairs of tissues and the genes that might be expressed there were automatically extracted from text with vocabularies for the genes and tissues. The anatomical categories of various expressed sequence tag (EST) libraries were also automatically determined. These types of information were linked using the hierarchical structure of the Metathesaurus in UMLS.
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Bateman RM, Ohmura M, Nagahata Y, Hishiki T, Suematsu M. Endotoxemia induces an early differential metabolic response in the heart and liver as determined by metabolomic analysis. Crit Care 2008. [PMCID: PMC4088766 DOI: 10.1186/cc6616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Yamasaki C, Murakami K, Fujii Y, Sato Y, Harada E, Takeda JI, Taniya T, Sakate R, Kikugawa S, Shimada M, Tanino M, Koyanagi KO, Barrero RA, Gough C, Chun HW, Habara T, Hanaoka H, Hayakawa Y, Hilton PB, Kaneko Y, Kanno M, Kawahara Y, Kawamura T, Matsuya A, Nagata N, Nishikata K, Noda AO, Nurimoto S, Saichi N, Sakai H, Sanbonmatsu R, Shiba R, Suzuki M, Takabayashi K, Takahashi A, Tamura T, Tanaka M, Tanaka S, Todokoro F, Yamaguchi K, Yamamoto N, Okido T, Mashima J, Hashizume A, Jin L, Lee KB, Lin YC, Nozaki A, Sakai K, Tada M, Miyazaki S, Makino T, Ohyanagi H, Osato N, Tanaka N, Suzuki Y, Ikeo K, Saitou N, Sugawara H, O'Donovan C, Kulikova T, Whitfield E, Halligan B, Shimoyama M, Twigger S, Yura K, Kimura K, Yasuda T, Nishikawa T, Akiyama Y, Motono C, Mukai Y, Nagasaki H, Suwa M, Horton P, Kikuno R, Ohara O, Lancet D, Eveno E, Graudens E, Imbeaud S, Debily MA, Hayashizaki Y, Amid C, Han M, Osanger A, Endo T, Thomas MA, Hirakawa M, Makalowski W, Nakao M, Kim NS, Yoo HS, De Souza SJ, Bonaldo MDF, Niimura Y, Kuryshev V, Schupp I, Wiemann S, Bellgard M, Shionyu M, Jia L, Thierry-Mieg D, Thierry-Mieg J, Wagner L, Zhang Q, Go M, Minoshima S, Ohtsubo M, Hanada K, Tonellato P, Isogai T, Zhang J, Lenhard B, Kim S, Chen Z, Hinz U, Estreicher A, Nakai K, Makalowska I, Hide W, Tiffin N, Wilming L, Chakraborty R, Soares MB, Chiusano ML, Suzuki Y, Auffray C, Yamaguchi-Kabata Y, Itoh T, Hishiki T, Fukuchi S, Nishikawa K, Sugano S, Nomura N, Tateno Y, Imanishi T, Gojobori T. The H-Invitational Database (H-InvDB), a comprehensive annotation resource for human genes and transcripts. Nucleic Acids Res 2007; 36:D793-9. [PMID: 18089548 PMCID: PMC2238988 DOI: 10.1093/nar/gkm999] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Here we report the new features and improvements in our latest release of the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/), a comprehensive annotation resource for human genes and transcripts. H-InvDB, originally developed as an integrated database of the human transcriptome based on extensive annotation of large sets of full-length cDNA (FLcDNA) clones, now provides annotation for 120 558 human mRNAs extracted from the International Nucleotide Sequence Databases (INSD), in addition to 54 978 human FLcDNAs, in the latest release H-InvDB_4.6. We mapped those human transcripts onto the human genome sequences (NCBI build 36.1) and determined 34 699 human gene clusters, which could define 34 057 (98.1%) protein-coding and 642 (1.9%) non-protein-coding loci; 858 (2.5%) transcribed loci overlapped with predicted pseudogenes. For all these transcripts and genes, we provide comprehensive annotation including gene structures, gene functions, alternative splicing variants, functional non-protein-coding RNAs, functional domains, predicted sub cellular localizations, metabolic pathways, predictions of protein 3D structure, mapping of SNPs and microsatellite repeat motifs, co-localization with orphan diseases, gene expression profiles, orthologous genes, protein-protein interactions (PPI) and annotation for gene families. The current H-InvDB annotation resources consist of two main views: Transcript view and Locus view and eight sub-databases: the DiseaseInfo Viewer, H-ANGEL, the Clustering Viewer, G-integra, the TOPO Viewer, Evola, the PPI view and the Gene family/group.
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Affiliation(s)
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- Japan Biological Information Research Center, Japan Biological Informatics Consortium, Japan
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Hishiki T, Tamada I. Linking the clinical vocabulary of diseases to the genes by mapping UMLS to OMIM allelic variant fields. AMIA Annu Symp Proc 2007:976. [PMID: 18694076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/15/2007] [Revised: 07/30/2007] [Accepted: 10/11/2007] [Indexed: 05/26/2023]
Abstract
To link clinical vocabulary of diseases to gene entries in Online Mendelian Inheritance in Man (OMIM), we comprehensively matched diseases from Unified Medical Language System (UMLS) Metathesaurus to the OMIM text in Allelic Variant fields that describe relations between the mutations or polymorphisms of the genes and the phenotypes. Out of 1,786 genes having the field, 1,445 genes (80.9%) had matches with 2,417 types of diseases or disorders. The links are accessible at http://www.genelexpo.jp/diseases/.
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Iwai A, Hijikata M, Hishiki T, Isono O, Chiba T, Shimotohno K. Coiled-coil domain containing 85B suppresses the beta-catenin activity in a p53-dependent manner. Oncogene 2007; 27:1520-6. [PMID: 17873903 DOI: 10.1038/sj.onc.1210801] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Aberrant accumulation of beta-catenin is closely related to carcinogenesis. Mutations in the p53 gene are reported to induce the aberrant accumulation of beta-catenin in the absence of dysfunction in the glycogen synthase kinase 3beta (GSK3beta)-mediated degradation pathway, but the mechanism remains incompletely understood. Here, we show that human coiled-coil domain containing 85B (CCDC85B) is induced by p53 and regulates beta-catenin activity via interaction with the T-cell factor 4 in the nucleus. Moreover, CCDC85B enhances the degradation of beta-catenin and suppresses tumor cell growth. In conclusion, we revealed that CCDC85B-induced degradation of beta-catenin is independent of GSK3beta and other p53-inducible products, Siah-1L, suggesting that CCDC85B constitutes the one of the frameworks of p53-induced multiple regulatory pathways for beta-catenin activity.
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Affiliation(s)
- A Iwai
- Division of Gastroenterology and Hepatology, Department of Medicine, Kyoto University, Kyoto, Japan
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Chun HW, Tsuruoka Y, Kim JD, Shiba R, Nagata N, Hishiki T, Tsujii J. Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts. BMC Bioinformatics 2006; 7 Suppl 3:S4. [PMID: 17134477 PMCID: PMC1764448 DOI: 10.1186/1471-2105-7-s3-s4] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Automatic recognition of relations between a specific disease term and its relevant genes or protein terms is an important practice of bioinformatics. Considering the utility of the results of this approach, we identified prostate cancer and gene terms with the ID tags of public biomedical databases. Moreover, considering that genetics experts will use our results, we classified them based on six topics that can be used to analyze the type of prostate cancers, genes, and their relations. METHODS We developed a maximum entropy-based named entity recognizer and a relation recognizer and applied them to a corpus-based approach. We collected prostate cancer-related abstracts from MEDLINE, and constructed an annotated corpus of gene and prostate cancer relations based on six topics by biologists. We used it to train the maximum entropy-based named entity recognizer and relation recognizer. RESULTS Topic-classified relation recognition achieved 92.1% precision for the relation (an increase of 11.0% from that obtained in a baseline experiment). For all topics, the precision was between 67.6 and 88.1%. CONCLUSION A series of experimental results revealed two important findings: a carefully designed relation recognition system using named entity recognition can improve the performance of relation recognition, and topic-classified relation recognition can be effectively addressed through a corpus-based approach using manual annotation and machine learning techniques.
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Affiliation(s)
- Hong-Woo Chun
- Department of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
| | | | - Jin-Dong Kim
- Department of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Rie Shiba
- Japan Biological Information Research Center, Japan Biological Informatics Consortium, Japan
| | - Naoki Nagata
- Biological Information Research Center, National Institute of Advanced Industrial Science and Technology, Japan
| | - Teruyoshi Hishiki
- Biological Information Research Center, National Institute of Advanced Industrial Science and Technology, Japan
| | - Jun'ichi Tsujii
- Department of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
- School of Computer Science, University of Manchester, UK
- SORST, Japan Science and Technology Corporation, Japan
- National Centre for Text Minig (NaCTeM), Manchester, UK
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Ogasawara O, Otsuji M, Watanabe K, Iizuka T, Tamura T, Hishiki T, Kawamoto S, Okubo K. BodyMap-Xs: anatomical breakdown of 17 million animal ESTs for cross-species comparison of gene expression. Nucleic Acids Res 2006; 34:D628-31. [PMID: 16381946 PMCID: PMC1347499 DOI: 10.1093/nar/gkj137] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BodyMap-Xs () is a database for cross-species gene expression comparison. It was created by the anatomical breakdown of 17 million animal expressed sequence tag (EST) records in DDBJ using a sorting program tailored for this purpose. In BodyMap-Xs, users are allowed to compare the expression patterns of orthologous and paralogous genes in a coherent manner. This will provide valuable insights for the evolutionary study of gene expression and identification of a responsive motif for a particular expression pattern. In addition, starting from a concise overview of the taxonomical and anatomical breakdown of all animal ESTs, users can navigate to obtain gene expression ranking of a particular tissue in a particular animal. This method may lead to the understanding of the similarities and differences between the homologous tissues across animal species. BodyMap-Xs will be automatically updated in synchronization with the major update in DDBJ, which occurs periodically.
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Affiliation(s)
- Osamu Ogasawara
- Center for Information Biology and DNA Data Bank of Japan, National Institute of Genetics1111 Yata, Mishima, Shizuoka 411-8540, Japan
| | - Makiko Otsuji
- Center for Information Biology and DNA Data Bank of Japan, National Institute of Genetics1111 Yata, Mishima, Shizuoka 411-8540, Japan
| | - Kouji Watanabe
- Center for Information Biology and DNA Data Bank of Japan, National Institute of Genetics1111 Yata, Mishima, Shizuoka 411-8540, Japan
| | - Takayasu Iizuka
- Center for Information Biology and DNA Data Bank of Japan, National Institute of Genetics1111 Yata, Mishima, Shizuoka 411-8540, Japan
| | - Takuro Tamura
- Center for Information Biology and DNA Data Bank of Japan, National Institute of Genetics1111 Yata, Mishima, Shizuoka 411-8540, Japan
| | - Teruyoshi Hishiki
- Biological Information Research Center, National Institute of Advanced Industrial Science and Technology (AIST)2-42 Aomi, Koto, Tokyo 135-0064, Japan
| | - Shoko Kawamoto
- National Institute of Informatics2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan
| | - Kousaku Okubo
- Center for Information Biology and DNA Data Bank of Japan, National Institute of Genetics1111 Yata, Mishima, Shizuoka 411-8540, Japan
- Biological Information Research Center, National Institute of Advanced Industrial Science and Technology (AIST)2-42 Aomi, Koto, Tokyo 135-0064, Japan
- To whom correspondence should be addressed. Tel: +81 559 815 838; Fax: +81 559 815 837; E-mail:
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17
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Hishiki T. A Web-based platform to find out relations between OMIC data and clinical features. AMIA Annu Symp Proc 2006; 2006:950. [PMID: 17238569 PMCID: PMC1839352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
We developed a platform that visualizes all the dimensions of so-called 'OMIC' data from genomic, transcriptomic, and proteomic domains, and helps users identify interesting data dimensions that might be associated with a set of clinical features of diseases. For this, we organized the textual descriptions of Clinical Synopsis fields in OMIM (Online Mendelian Inheritance in Man) into a quantitative format, and developed a Web-based interactive and graphical search system.
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Affiliation(s)
- Teruyoshi Hishiki
- Biological Information Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan
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18
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Chun HW, Tsuruoka Y, Kim JD, Shiba R, Nagata N, Hishiki T, Tsujii J. Extraction of gene-disease relations from Medline using domain dictionaries and machine learning. Pac Symp Biocomput 2006:4-15. [PMID: 17094223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
We describe a system that extracts disease-gene relations from Medline. We constructed a dictionary for disease and gene names from six public databases and extracted relation candidates by dictionary matching. Since dictionary matching produces a large number of false positives, we developed a method of machine learning-based named entity recognition (NER) to filter out false recognitions of disease/gene names. We found that the performance of relation extraction is heavily dependent upon the performance of NER filtering and that the filtering improves the precision of relation extraction by 26.7% at the cost of a small reduction in recall.
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Affiliation(s)
- Hong-Woo Chun
- Tsujii Laboratory, Room 615, 7th Building of Science, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033, Japan.
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19
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Tanino M, Suzuki Y, Imanishi T, Hishiki T, Okubo K, Gojobori T, Sugano S. [Human transcriptome]. Tanpakushitsu Kakusan Koso 2005; 50:2059-64. [PMID: 16411430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
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20
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Tanino M, Debily MA, Tamura T, Hishiki T, Ogasawara O, Murakawa K, Kawamoto S, Itoh K, Watanabe S, de Souza SJ, Imbeaud S, Graudens E, Eveno E, Hilton P, Sudo Y, Kelso J, Ikeo K, Imanishi T, Gojobori T, Auffray C, Hide W, Okubo K. The Human Anatomic Gene Expression Library (H-ANGEL), the H-Inv integrative display of human gene expression across disparate technologies and platforms. Nucleic Acids Res 2005; 33:D567-72. [PMID: 15608263 PMCID: PMC540058 DOI: 10.1093/nar/gki104] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
The Human Anatomic Gene Expression Library (H-ANGEL) is a resource for information concerning the anatomical distribution and expression of human gene transcripts. The tool contains protein expression data from multiple platforms that has been associated with both manually annotated full-length cDNAs from H-InvDB and RefSeq sequences. Of the H-Inv predicted genes, 18 897 have associated expression data generated by at least one platform. H-ANGEL utilizes categorized mRNA expression data from both publicly available and proprietary sources. It incorporates data generated by three types of methods from seven different platforms. The data are provided to the user in the form of a web-based viewer with numerous query options. H-ANGEL is updated with each new release of cDNA and genome sequence build. In future editions, we will incorporate the capability for expression data updates from existing and new platforms. H-ANGEL is accessible at http://www.jbirc.aist.go.jp/hinv/h-angel/.
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Affiliation(s)
- Motohiko Tanino
- Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics Consortium, Time24 Building 10F, 2-45 Aomi, Koto-ku, Tokyo 135-0064, Japan.
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21
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Hishiki T, Tamura T, Oyama H. GenoCache: a Genomics and Cancer Chemoprevention portal. AMIA Annu Symp Proc 2005; 2005:980. [PMID: 16779267 PMCID: PMC1560473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
To integrate cancer chemoprevention information on a genomics basis, we have built a Web site named GenoCache (Genomics and Cancer Chemoprevention) that would provide users with a molecular biological view of cancer chemoprevention. The site is organized in four viewpoints: substances, genes or gene products with their genetic variations, cells or tissues with various cancer development states, and "pathways" or sequential interactions between these objects. We linked the relevant genes to dbSNP.
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Affiliation(s)
- Teruyoshi Hishiki
- Biological Information Research Center, National Institute of Advanced Industrial Scienceand Technology, Tokyo, Japan
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22
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Imanishi T, Itoh T, Suzuki Y, O'Donovan C, Fukuchi S, Koyanagi KO, Barrero RA, Tamura T, Yamaguchi-Kabata Y, Tanino M, Yura K, Miyazaki S, Ikeo K, Homma K, Kasprzyk A, Nishikawa T, Hirakawa M, Thierry-Mieg J, Thierry-Mieg D, Ashurst J, Jia L, Nakao M, Thomas MA, Mulder N, Karavidopoulou Y, Jin L, Kim S, Yasuda T, Lenhard B, Eveno E, Suzuki Y, Yamasaki C, Takeda JI, Gough C, Hilton P, Fujii Y, Sakai H, Tanaka S, Amid C, Bellgard M, Bonaldo MDF, Bono H, Bromberg SK, Brookes AJ, Bruford E, Carninci P, Chelala C, Couillault C, de Souza SJ, Debily MA, Devignes MD, Dubchak I, Endo T, Estreicher A, Eyras E, Fukami-Kobayashi K, R. Gopinath G, Graudens E, Hahn Y, Han M, Han ZG, Hanada K, Hanaoka H, Harada E, Hashimoto K, Hinz U, Hirai M, Hishiki T, Hopkinson I, Imbeaud S, Inoko H, Kanapin A, Kaneko Y, Kasukawa T, Kelso J, Kersey P, Kikuno R, Kimura K, Korn B, Kuryshev V, Makalowska I, Makino T, Mano S, Mariage-Samson R, Mashima J, Matsuda H, Mewes HW, Minoshima S, Nagai K, Nagasaki H, Nagata N, Nigam R, Ogasawara O, Ohara O, Ohtsubo M, Okada N, Okido T, Oota S, Ota M, Ota T, Otsuki T, Piatier-Tonneau D, Poustka A, Ren SX, Saitou N, Sakai K, Sakamoto S, Sakate R, Schupp I, Servant F, Sherry S, Shiba R, Shimizu N, Shimoyama M, Simpson AJ, Soares B, Steward C, Suwa M, Suzuki M, Takahashi A, Tamiya G, Tanaka H, Taylor T, Terwilliger JD, Unneberg P, Veeramachaneni V, Watanabe S, Wilming L, Yasuda N, Yoo HS, Stodolsky M, Makalowski W, Go M, Nakai K, Takagi T, Kanehisa M, Sakaki Y, Quackenbush J, Okazaki Y, Hayashizaki Y, Hide W, Chakraborty R, Nishikawa K, Sugawara H, Tateno Y, Chen Z, Oishi M, Tonellato P, Apweiler R, Okubo K, Wagner L, Wiemann S, Strausberg RL, Isogai T, Auffray C, Nomura N, Gojobori T, Sugano S. Integrative annotation of 21,037 human genes validated by full-length cDNA clones. PLoS Biol 2004; 2:e162. [PMID: 15103394 PMCID: PMC393292 DOI: 10.1371/journal.pbio.0020162] [Citation(s) in RCA: 267] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2003] [Accepted: 04/01/2004] [Indexed: 01/08/2023] Open
Abstract
The human genome sequence defines our inherent biological potential; the realization of the biology encoded therein requires knowledge of the function of each gene. Currently, our knowledge in this area is still limited. Several lines of investigation have been used to elucidate the structure and function of the genes in the human genome. Even so, gene prediction remains a difficult task, as the varieties of transcripts of a gene may vary to a great extent. We thus performed an exhaustive integrative characterization of 41,118 full-length cDNAs that capture the gene transcripts as complete functional cassettes, providing an unequivocal report of structural and functional diversity at the gene level. Our international collaboration has validated 21,037 human gene candidates by analysis of high-quality full-length cDNA clones through curation using unified criteria. This led to the identification of 5,155 new gene candidates. It also manifested the most reliable way to control the quality of the cDNA clones. We have developed a human gene database, called the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/). It provides the following: integrative annotation of human genes, description of gene structures, details of novel alternative splicing isoforms, non-protein-coding RNAs, functional domains, subcellular localizations, metabolic pathways, predictions of protein three-dimensional structure, mapping of known single nucleotide polymorphisms (SNPs), identification of polymorphic microsatellite repeats within human genes, and comparative results with mouse full-length cDNAs. The H-InvDB analysis has shown that up to 4% of the human genome sequence (National Center for Biotechnology Information build 34 assembly) may contain misassembled or missing regions. We found that 6.5% of the human gene candidates (1,377 loci) did not have a good protein-coding open reading frame, of which 296 loci are strong candidates for non-protein-coding RNA genes. In addition, among 72,027 uniquely mapped SNPs and insertions/deletions localized within human genes, 13,215 nonsynonymous SNPs, 315 nonsense SNPs, and 452 indels occurred in coding regions. Together with 25 polymorphic microsatellite repeats present in coding regions, they may alter protein structure, causing phenotypic effects or resulting in disease. The H-InvDB platform represents a substantial contribution to resources needed for the exploration of human biology and pathology.
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Affiliation(s)
- Tadashi Imanishi
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Takeshi Itoh
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 2Bioinformatics Laboratory, Genome Research Department, National Institute of Agrobiological SciencesIbarakiJapan
| | - Yutaka Suzuki
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
- 68Department of Medical Genome Sciences, Graduate School of Frontier Sciences, University of TokyoTokyoJapan
| | - Claire O'Donovan
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Satoshi Fukuchi
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | | | - Roberto A Barrero
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Takuro Tamura
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
- 8BITS CompanyShizuokaJapan
| | - Yumi Yamaguchi-Kabata
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Motohiko Tanino
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Kei Yura
- 9Quantum Bioinformatics Group, Center for Promotion of Computational Science and Engineering, Japan Atomic Energy Research InstituteKyotoJapan
| | - Satoru Miyazaki
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Kazuho Ikeo
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Keiichi Homma
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Arek Kasprzyk
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Tetsuo Nishikawa
- 10Reverse Proteomics Research InstituteChibaJapan
- 11Central Research Laboratory, HitachiTokyoJapan
| | - Mika Hirakawa
- 12Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityKyotoJapan
| | - Jean Thierry-Mieg
- 13National Center for Biotechnology Information, National Library of Medicine, National Institutes of HealthBethesda, MarylandUnited States of America
- 14Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique MathematiqueMontpellierFrance
| | - Danielle Thierry-Mieg
- 13National Center for Biotechnology Information, National Library of Medicine, National Institutes of HealthBethesda, MarylandUnited States of America
- 14Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique MathematiqueMontpellierFrance
| | - Jennifer Ashurst
- 15The Wellcome Trust Sanger Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Libin Jia
- 16National Cancer Institute, National Institutes of HealthBethesda, MarylandUnited States of America
| | - Mitsuteru Nakao
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
| | - Michael A Thomas
- 17Department of Biological Sciences, Idaho State UniversityPocatello, IdahoUnited States of America
| | - Nicola Mulder
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Youla Karavidopoulou
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Lihua Jin
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Sangsoo Kim
- 18Korea Research Institute of Bioscience and BiotechnologyTaejeonKorea
| | | | - Boris Lenhard
- 19Center for Genomics and Bioinformatics, Karolinska InstitutetStockholmSweden
| | - Eric Eveno
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
| | - Yoshiyuki Suzuki
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Chisato Yamasaki
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Jun-ichi Takeda
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Craig Gough
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Phillip Hilton
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Yasuyuki Fujii
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Hiroaki Sakai
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
- 22Tokyo Research Laboratories, Kyowa Hakko Kogyo CompanyTokyoJapan
| | - Susumu Tanaka
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Clara Amid
- 23MIPS—Institute for Bioinformatics, GSF—National Research Center for Environment and HealthNeuherbergGermany
| | - Matthew Bellgard
- 24Centre for Bioinformatics and Biological Computing, School of Information Technology, Murdoch UniversityMurdoch, Western AustraliaAustralia
| | - Maria de Fatima Bonaldo
- 25Medical Education and Biomedical Research Facility, University of IowaIowa City, IowaUnited States of America
| | - Hidemasa Bono
- 26Genome Exploration Research Group, RIKEN Genomic Sciences Center, RIKEN Yokohama InstituteKanagawaJapan
| | - Susan K Bromberg
- 27Medical College of Wisconsin, MilwaukeeWisconsinUnited States of America
| | - Anthony J Brookes
- 19Center for Genomics and Bioinformatics, Karolinska InstitutetStockholmSweden
| | - Elspeth Bruford
- 28HUGO Gene Nomenclature Committee, University College LondonLondonUnited Kingdom
| | | | - Claude Chelala
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
| | - Christine Couillault
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
| | | | - Marie-Anne Debily
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
| | | | - Inna Dubchak
- 32Lawrence Berkeley National Laboratory, BerkeleyCaliforniaUnited States of America
| | - Toshinori Endo
- 33Department of Bioinformatics, Medical Research Institute, Tokyo Medical and Dental UniversityTokyoJapan
| | | | - Eduardo Eyras
- 15The Wellcome Trust Sanger Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Kaoru Fukami-Kobayashi
- 35Bioresource Information Division, RIKEN BioResource Center, RIKEN Tsukuba InstituteIbarakiJapan
| | - Gopal R. Gopinath
- 36Genome Knowledgebase, Cold Spring Harbor LaboratoryCold Spring Harbor, New YorkUnited States of America
| | - Esther Graudens
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
| | - Yoonsoo Hahn
- 18Korea Research Institute of Bioscience and BiotechnologyTaejeonKorea
| | - Michael Han
- 23MIPS—Institute for Bioinformatics, GSF—National Research Center for Environment and HealthNeuherbergGermany
| | - Ze-Guang Han
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
- 37Chinese National Human Genome Center at ShanghaiShanghaiChina
| | - Kousuke Hanada
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Hideki Hanaoka
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Erimi Harada
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Katsuyuki Hashimoto
- 38Division of Genetic Resources, National Institute of Infectious DiseasesTokyoJapan
| | - Ursula Hinz
- 34Swiss Institute of BioinformaticsGenevaSwitzerland
| | - Momoki Hirai
- 39Graduate School of Frontier Sciences, Department of Integrated Biosciences, University of TokyoChibaJapan
| | - Teruyoshi Hishiki
- 40Functional Genomics Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Ian Hopkinson
- 41Department of Primary Care and Population Sciences, Royal Free University College Medical School, University College LondonLondonUnited Kingdom
- 42Clinical and Molecular Genetics Unit, The Institute of Child HealthLondonUnited Kingdom
| | - Sandrine Imbeaud
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
| | - Hidetoshi Inoko
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
- 43Department of Genetic Information, Division of Molecular Life Science, School of Medicine, Tokai UniversityKanagawaJapan
| | - Alexander Kanapin
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Yayoi Kaneko
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Takeya Kasukawa
- 26Genome Exploration Research Group, RIKEN Genomic Sciences Center, RIKEN Yokohama InstituteKanagawaJapan
| | - Janet Kelso
- 44South African National Bioinformatics Institute, University of the Western CapeBellvilleSouth Africa
| | - Paul Kersey
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | | | | | - Bernhard Korn
- 46RZPD Resource Center for Genome ResearchHeidelbergGermany
| | - Vladimir Kuryshev
- 47Molecular Genome Analysis, German Cancer Research Center-DKFZHeidelbergGermany
| | - Izabela Makalowska
- 48Pennsylvania State UniversityUniversity Park, PennsylvaniaUnited States of America
| | - Takashi Makino
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Shuhei Mano
- 43Department of Genetic Information, Division of Molecular Life Science, School of Medicine, Tokai UniversityKanagawaJapan
| | - Regine Mariage-Samson
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
| | - Jun Mashima
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Hideo Matsuda
- 49Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka UniversityOsakaJapan
| | - Hans-Werner Mewes
- 23MIPS—Institute for Bioinformatics, GSF—National Research Center for Environment and HealthNeuherbergGermany
| | - Shinsei Minoshima
- 50Medical Photobiology Department, Photon Medical Research Center, Hamamatsu University School of MedicineShizuokaJapan
- 52Department of Molecular Biology, Keio University School of MedicineTokyoJapan
| | | | - Hideki Nagasaki
- 51Computational Biology Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Naoki Nagata
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Rajni Nigam
- 27Medical College of Wisconsin, MilwaukeeWisconsinUnited States of America
| | - Osamu Ogasawara
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
| | | | - Masafumi Ohtsubo
- 52Department of Molecular Biology, Keio University School of MedicineTokyoJapan
| | - Norihiro Okada
- 53Department of Biological Sciences, Graduate School of Bioscience and Biotechnology, Tokyo Institute of TechnologyKanagawaJapan
| | - Toshihisa Okido
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Satoshi Oota
- 35Bioresource Information Division, RIKEN BioResource Center, RIKEN Tsukuba InstituteIbarakiJapan
| | - Motonori Ota
- 54Global Scientific Information and Computing Center, Tokyo Institute of TechnologyTokyoJapan
| | - Toshio Ota
- 22Tokyo Research Laboratories, Kyowa Hakko Kogyo CompanyTokyoJapan
| | - Tetsuji Otsuki
- 55Molecular Biology Laboratory, Medicinal Research Laboratories, Taisho Pharmaceutical CompanySaitamaJapan
| | | | - Annemarie Poustka
- 47Molecular Genome Analysis, German Cancer Research Center-DKFZHeidelbergGermany
| | - Shuang-Xi Ren
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
- 37Chinese National Human Genome Center at ShanghaiShanghaiChina
| | - Naruya Saitou
- 56Department of Population Genetics, National Institute of GeneticsShizuokaJapan
| | - Katsunaga Sakai
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Shigetaka Sakamoto
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Ryuichi Sakate
- 39Graduate School of Frontier Sciences, Department of Integrated Biosciences, University of TokyoChibaJapan
| | - Ingo Schupp
- 47Molecular Genome Analysis, German Cancer Research Center-DKFZHeidelbergGermany
| | - Florence Servant
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Stephen Sherry
- 13National Center for Biotechnology Information, National Library of Medicine, National Institutes of HealthBethesda, MarylandUnited States of America
| | - Rie Shiba
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Nobuyoshi Shimizu
- 52Department of Molecular Biology, Keio University School of MedicineTokyoJapan
| | - Mary Shimoyama
- 27Medical College of Wisconsin, MilwaukeeWisconsinUnited States of America
| | | | - Bento Soares
- 25Medical Education and Biomedical Research Facility, University of IowaIowa City, IowaUnited States of America
| | - Charles Steward
- 15The Wellcome Trust Sanger Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Makiko Suwa
- 51Computational Biology Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Mami Suzuki
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Aiko Takahashi
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Gen Tamiya
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
- 43Department of Genetic Information, Division of Molecular Life Science, School of Medicine, Tokai UniversityKanagawaJapan
| | - Hiroshi Tanaka
- 33Department of Bioinformatics, Medical Research Institute, Tokyo Medical and Dental UniversityTokyoJapan
| | - Todd Taylor
- 57Human Genome Research Group, Genomic Sciences Center, RIKEN Yokohama InstituteKanagawaJapan
| | - Joseph D Terwilliger
- 58Columbia University and Columbia Genome CenterNew York, New YorkUnited States of America
| | - Per Unneberg
- 59Department of Biotechnology, Royal Institute of TechnologyStockholmSweden
| | - Vamsi Veeramachaneni
- 48Pennsylvania State UniversityUniversity Park, PennsylvaniaUnited States of America
| | - Shinya Watanabe
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
| | - Laurens Wilming
- 15The Wellcome Trust Sanger Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Norikazu Yasuda
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 7Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics ConsortiumTokyoJapan
| | - Hyang-Sook Yoo
- 18Korea Research Institute of Bioscience and BiotechnologyTaejeonKorea
| | - Marvin Stodolsky
- 60Biology Division and Genome Task Group, Office of Biological and Environmental Research, United States Department of EnergyWashington, D.CUnited States of America
| | - Wojciech Makalowski
- 48Pennsylvania State UniversityUniversity Park, PennsylvaniaUnited States of America
| | - Mitiko Go
- 61Faculty of Bio-Science, Nagahama Institute of Bio-Science and TechnologyShigaJapan
| | - Kenta Nakai
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
| | - Toshihisa Takagi
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
| | - Minoru Kanehisa
- 12Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityKyotoJapan
| | - Yoshiyuki Sakaki
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
- 57Human Genome Research Group, Genomic Sciences Center, RIKEN Yokohama InstituteKanagawaJapan
| | - John Quackenbush
- 62Institute for Genomic ResearchRockville, MarylandUnited States of America
| | - Yasushi Okazaki
- 26Genome Exploration Research Group, RIKEN Genomic Sciences Center, RIKEN Yokohama InstituteKanagawaJapan
| | - Yoshihide Hayashizaki
- 26Genome Exploration Research Group, RIKEN Genomic Sciences Center, RIKEN Yokohama InstituteKanagawaJapan
| | - Winston Hide
- 44South African National Bioinformatics Institute, University of the Western CapeBellvilleSouth Africa
| | - Ranajit Chakraborty
- 63Center for Genome Information, Department of Environmental Health, University of CincinnatiCincinnati, OhioUnited States of America
| | - Ken Nishikawa
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Hideaki Sugawara
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Yoshio Tateno
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
| | - Zhu Chen
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
- 37Chinese National Human Genome Center at ShanghaiShanghaiChina
- 64State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui-Jin Hospital, Shanghai Second Medical UniversityShanghaiChina
| | | | - Peter Tonellato
- 65PointOne SystemsWauwatosa, WisconsinUnited States of America
| | - Rolf Apweiler
- 4EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome CampusCambridgeUnited Kingdom
| | - Kousaku Okubo
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
- 40Functional Genomics Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Lukas Wagner
- 13National Center for Biotechnology Information, National Library of Medicine, National Institutes of HealthBethesda, MarylandUnited States of America
| | - Stefan Wiemann
- 47Molecular Genome Analysis, German Cancer Research Center-DKFZHeidelbergGermany
| | - Robert L Strausberg
- 16National Cancer Institute, National Institutes of HealthBethesda, MarylandUnited States of America
| | - Takao Isogai
- 10Reverse Proteomics Research InstituteChibaJapan
- 66Graduate School of Life and Environmental Sciences, University of TsukubaIbarakiJapan
| | - Charles Auffray
- 20Genexpress—CNRS—Functional Genomics and Systemic Biology for HealthVillejuif CedexFrance
- 21Sino-French Laboratory in Life Sciences and GenomicsShanghaiChina
| | - Nobuo Nomura
- 40Functional Genomics Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
| | - Takashi Gojobori
- 1Integrated Database Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 5Center for Information Biology and DNA Data Bank of Japan, National Institute of GeneticsShizuokaJapan
- 67Department of Genetics, Graduate University for Advanced StudiesShizuokaJapan
| | - Sumio Sugano
- 3Human Genome Center, The Institute of Medical Science, The University of TokyoTokyoJapan
- 40Functional Genomics Group, Biological Information Research Center, National Institute of Advanced Industrial Science and TechnologyTokyoJapan
- 68Department of Medical Genome Sciences, Graduate School of Frontier Sciences, University of TokyoTokyoJapan
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23
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Hishiki T, Ogasawara O, Tsuruoka Y, Okubo K. Indexing anatomical concepts to OMIM Clinical Synopsis using the UMLS Metathesaurus. In Silico Biol 2004; 4:31-54. [PMID: 15089752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
As a first step toward the quantitative comparison of clinical features of diseases, we indexed the text descriptions in the Clinical Synopsis section of the Online Mendelian Inheritance in Man (OMIM) with concepts for the body parts, organs, and tissues contained in the Metathesaurus of the Unified Medical Language System (UMLS). We also indexed the text with the diseases and disorders having links to body parts specified in the thesaurus. The vocabulary size was approximately 177,540 representations for 81,435 concepts, and 2,161 concepts were indexed to 3,779 OMIM entries. The indexed concepts included 134 concepts for the noun forms of anatomical concepts and 985 indexed concepts for diseases and disorders that were linked to 132 and 408 anatomical concepts, respectively. We report herein that the retrieval of OMIM entries for diseases affecting specific organs can be made more comprehensive through the anatomical concepts indexed to the Clinical Synopsis or linked to the indexed concepts, as compared to simply matching organ names to the Clinical Synopsis text. The recall and precision of identifying relevant body parts in the Clinical Synopsis were calculated as 78% and 92.5%, respectively, based on random sampling. The examination of the unidentified body parts due to lack of indexed diseases and disorders showed that although most of the concepts for diseases and disorders were contained in the Metathesaurus, their relations to body parts were not. The indexing result proved the effectiveness of the Metathesaurus as a resource for the identification of concepts indicating body parts, diseases, and disorders.
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Affiliation(s)
- Teruyoshi Hishiki
- Biological Information Research Center, National Institute of Advanced Industrial Science and Technology.
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24
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Affiliation(s)
- I Shirato
- Division of Nephrology, Department of Internal Medicine, Juntendo University School of Medicine, Tokyo, Japan.
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25
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Mitsunaga T, Yoshida H, Iwai J, Matsunaga T, Kouchi K, Ohtsuka Y, Okada T, Hishiki T, Ohnuma N. Successful surgical treatment of two cases of congenital chylous ascites. J Pediatr Surg 2001; 36:1717-9. [PMID: 11685710 DOI: 10.1053/jpsu.2001.27973] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The authors report on 2 patients with congenital chylous ascites who underwent successful lymphatic duct ligation after a laparoscopic lymphoid dye test. Fetal ascites had been detected in both cases, and both babies were born with marked abdominal swelling. Given that conservative treatment by medium-chain triglyceride (MCT) milk and total parenteral nutrition (TPN) was ineffective, the authors elected to perform lymphatic duct ligation on the 95th postnatal day in the former case and on the 27th postnatal day in the latter case. Lipophilic dye was administered preoperatively both through oral and subcutaneous routes, and the peritoneal cavity was explored using laparoscopy. This laparoscopic lymphoid dye test precisely identified the area of chylous leakage, and the authors were able to repair the malformed lymphatic duct directly at laparotomy. Both postoperative courses have been favorable with no recurrence of symptoms. The lymphatic duct ligation should be considered in cases resistant to conservative treatment for over a month. The present laparoscopic lymphoid dye test is a novel and useful procedure that allows surgeons to identify the exact location of chylous leakage, and thus successfully ligate the lymphatic duct.
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Affiliation(s)
- T Mitsunaga
- Department of Pediatric Surgery, Chiba University School of Medicine, 1-8-1, Inohana, Chuo-ku, Chiba-shi, Chiba, 260-8677 Japan
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26
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Hishiki T, Shirato I, Takahashi Y, Funabiki K, Horikoshi S, Tomino Y. Podocyte injury predicts prognosis in patients with iga nephropathy using a small amount of renal biopsy tissue. Kidney Blood Press Res 2001; 24:99-104. [PMID: 11435741 DOI: 10.1159/000054214] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
To predict the progression in patients with IgA nephropathy, we analyzed glomerular lesions except for sclerosis, adhesion and/or crescents in 34 patients with this disease by morphometric analysis. Levels of urinary protein excretion (UP), creatinine clearance (Ccr), serum creatinine (sCr) and mean blood pressure (MBP) at the time of renal biopsy were used as the clinical parameters. The slope of 1/sCr was also used as a prognostic parameter. Renal specimens were obtained by echo-guided biopsy. In PAS-stained light microscopic renal sections, three mid sections of open glomeruli were selected and photographed. Stereologic estimation was performed as follows: absolute values of glomerular volume (V(G)), glomerular surface area (S(G)), podocyte and nonpodocyte cell number per glomerulus (N(G(pod)) and N(G(Non-pod))), glomerular surface area covered by one podocyte S(G)/N(G(pod))) and glomerular volume occupied by one nonpodocyte cell (V(G)/N(G(Non-pod))). There was a significant correlation between the levels of UP and the change of podocyte injury parameters (N(G(pod)) and S(G)/N(G(pod))) or N(G(Non-pod)). N(G(pod)) was negatively but S(G)/N(G(pod)) and N(G(Non-pod)) were positively correlated with UP. S(G)/N(G(pod)) or N(G(Non-pod)) was correlated with MBP. N(G(pod)), S(G)/N(G(pod)), N(G(Non-pod)), UP or MBP was significantly correlated with the slope of 1/sCr. High specificity was observed for N(G(pod)), S(G)/N(G(pod)) and MBP. High sensitivity was also observed for N(G(Non-pod)) and UP. It appears that podocyte injury might provide additional prognostic information in patients with IgA nephropathy.
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Affiliation(s)
- T Hishiki
- Division of Nephrology, Department of Medicine, Juntendo University School of Medicine, Tokyo, Japan
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27
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Hishiki T, Shimada H, Nagano S, Egawa T, Kanamori Y, Makino R, Park SY, Adachi S, Shiro Y, Ishimura Y. X-ray crystal structure and catalytic properties of Thr252Ile mutant of cytochrome P450cam: roles of Thr252 and water in the active center. J Biochem 2000; 128:965-74. [PMID: 11098139 DOI: 10.1093/oxfordjournals.jbchem.a022848] [Citation(s) in RCA: 38] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The structure-function relationship in cytochrome P450cam monooxygenase was studied by employing its active site mutant Thr252Ile. X-ray crystallographic analyses of the ferric d-camphor-bound form of the mutant revealed that the mutation caused a structural change in the active site giving an enlarged oxygen-binding pocket that did not contain any hydrophilic group such as the OH group of Thr and H(2)O. The enzyme showed a low monooxygenase activity of ca. 1/10 of the activity of the wild-type enzyme. Kinetic analyses of each catalytic step revealed that the rate of proton-coupled reduction of the oxygenated intermediate of the enzyme, a ternary complex of dioxygen and d-camphor with the ferrous enzyme, decreased to about 1/30 of that of the wild-type enzyme, while the rates of other catalytic steps including the reduction of the ferric d-camphor-bound form by reduced putidaredoxin did not change significantly. These results indicated that a hydrophilic group(s) such as water and/or hydroxyl group in the active site is prerequisite to a proton supply for the reduction of the oxygenated intermediate, thereby giving support for the operation of a proton transfer network composed of Thr252, Asp251, and two other amino acids and water proposed by previous investigators.
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Affiliation(s)
- T Hishiki
- Department of Biochemistry, School of Medicine, Keio University, Shinano-machi, Shinjuku-ku, Tokyo 160-8582, Japan
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28
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Kouchi K, Yoshida H, Matsunaga T, Ohtsuka Y, Kuroda H, Hishiki T, Satou Y, Terui K, Mitsunaga T, Ohnuma N. Intralobar bronchopulmonary sequestration evaluated by contrast-enhanced three-dimensional MR angiography. Pediatr Radiol 2000; 30:774-5. [PMID: 11100494 DOI: 10.1007/s002470000329] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Bronchopulmonary sequestration (PS) is characterized by non-functioning lung tissue fed from one or several aberrant systemic arteries. The condition is diagnosed by visualizing the feeding arteries using non-invasive CT, MRI, colour Doppler sonography or conventional angiography. We present a 5-year-old boy in whom intralobar sequestration was diagnosed using contrast-enhanced 3D MR angiography, which visualised fine blood vessels in the thoraco-abdominal region without arterial puncture. This technique is useful for diagnosing PS.
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Affiliation(s)
- K Kouchi
- Department of Paediatric Surgery, School of Medicine, Chiba University, Japan.
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29
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Matsunaga T, Shirasawa H, Hishiki T, Yoshida H, Kouchi K, Ohtsuka Y, Kawamura K, Etoh T, Ohnuma N. Enhanced expression of N-myc messenger RNA in neuroblastomas found by mass screening. Clin Cancer Res 2000; 6:3199-204. [PMID: 10955804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
A substantial fraction of neuroblastomas found by mass screening have been suggested to regress spontaneously because of the high incidence of infantile neuroblastomas in the screening population. In this study, 70 neuroblastomas were analyzed for expression of proto-oncogenes related to neuronal differentiation to clarify the biological significance of proto-oncogene expression in the screening-positive and -negative tumors. The tumors consisted of 39 neuroblastomas found by screening (group 1), 16 non-N-myc-amplified neuroblastomas found by clinical symptom(s) (group 2), and 15 N-myc-amplified neuroblastomas found by clinical symptom(s) (group 3). The expression of c-src, trk A, and N-myc in tumor tissues was analyzed by quantitative RNA PCR. Neuronal c-srcN2 expression varied significantly in the following order: group 1 > group 2 > group 3. The level of expression of trk A was markedly reduced in group 3 but did not differ in groups 1 and 2. Most tumors in group 3 overexpressed N-myc. However, N-myc expression in group 1 was significantly higher than that in group 2. Thus, the characteristics of proto-oncogene expression in screening-positive tumors included enhanced expression of c-srcN2 and N-myc mRNA, regardless of nonamplification of N-myc. Our results suggest that the role of N-myc differs in neuroblastomas detected by screening and in N-myc-amplified tumors.
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Affiliation(s)
- T Matsunaga
- Department of Pediatric Surgery, Chiba University, School of Medicine, Japan.
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30
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Tomino Y, Shirato I, Horikoshi S, Fukui M, Yamaguchi Y, Yokomatsu M, Ebihara I, Shimada N, Hishiki T, Hirano K, Rinno H, Shiota J, Kuramoto T. Effect of acarbose on blood glucose and proteinuria in patients with diabetic nephropathy. Nephron Clin Pract 2000; 85:190. [PMID: 10867532 DOI: 10.1159/000045659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Abstract
BodyMap is a human and mouse gene expression database that has been maintained since 1993. It is based on site-directed 3'-ESTs collected from non-biased cDNA libraries constructed at Osaka University and contains >270 000 sequences from 60 human and 38 mouse tissues. The site-directed nature of the sequence tags allows unequivocal grouping of tags representing the same transcript and provides abundance information for each transcript in different parts of the body. Our collection of ESTs was compared periodically with other public databases for cross referencing. The histological resolution of source tissues and unique cloning strategy that minimized cloning bias enabled BodyMap to support three unique mRNA based experiments in silico. First, the recurrence information for clones in each library provides a rough estimate of the mRNA composition of each source tissue. Second, a user can search the entire data set with nucleotide sequences or keywords to assess expression patterns of particular genes. Third, and most important, BodyMap allows a user to select genes that have a desired expression pattern in humans and mice. BodyMap is accessible through the WWW at http://bodymap.ims.u-tokyo.ac.jp
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Affiliation(s)
- T Hishiki
- Institute for Molecular and Cellular Biology, Osaka University, 1-3 Yamadaoka, Suita, Osaka 565-0871, Japan
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32
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Hishiki T, Shirato I, Tomino Y. [Morphometric analysis of normal glomerular epithelial cells in rat and human]. Nihon Jinzo Gakkai Shi 1999; 41:764-8. [PMID: 10655724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
It has been postulated that morphological changes of podocytes might be related to glomerular sclerotic lesions in experimental models and patients with glomerular diseases. To estimate the absolute number of podocytes in mammalian normal glomerulus, we analyzed normal glomeruli in four rats and six humans. In PAS stained light microscopic sections, at least 25 midsections of open glomeruli were photographed. Stereologic estimation was performed to obtain the following values: absolute values of glomerular volume (V), glomerular surface area (S), podocyte and intraglomerular cell number per glomerulus (P and IGC), glomerular surface area covered by one podocyte (S/P) and glomerular volume occupied by one intraglomerular cell (V/IGC). The glomerular volume, glomerular surface area and podocyte and intraglomerular cell numbers per glomerulus of human were significantly increased compared with those of the rat (V: 2.70 +/- 0.86 > 0.89 +/- 0.19, S: 4.84 +/- 1.26 > 1.88 +/- 0.26, P: 407.7 +/- 88.2 > 153.8 +/- 84.0, p < 0.01 vs rat). On the other hand, there were no significant differences in glomerular surface area covered by one podocyte and glomerular volume occupied by one intraglomerular cell between the humans and rats (S/P: 1.25 +/- 0.20, 1.29 +/- 0.05, V/IGC: 2,471 +/- 487, 2,227 +/- 201, p < 0.01 vs rat). These data were almost the same as previously reported values. It appears that these values can be considered as standards for rats and humans in morphometric analysis of the glomerulus.
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Affiliation(s)
- T Hishiki
- Department of Medicine, Juntendo University School of Medicine, Tokyo, Japan
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Abstract
PURPOSE Nonoperative management for blunt pancreatic injury in children was performed between 1977 and 1998. The efficiency and safety of nonoperative management was examined. METHODS Pancreatic injury was diagnosed in 20 children. The surgical indication was determined by hemodynamic instability and the management of associated injuries. Children without surgical indications were treated initially by nonoperative management. RESULTS Nineteen of 20 children were treated initially nonoperatively, and 18 of the 19 survived. Surgical exploration was performed in only 1 child with perforation of the duodenum and bile duct. One child died of complications of total parenteral nutrition. Ultrasound scan and computed tomography scan showed pancreatic contusion in 9, laceration in 6, and injury of the main pancreatic duct (MPD) in 5. Pseudocysts were detected in 10 (5 laceration and 5 MPD injury). Pseudocysts smaller than 10 cm disappeared after nonoperative management, and those larger than 10 cm required operative management. Rupture of pseudocysts occurred in 2 children by rotating the upper torso. CONCLUSIONS Nonoperative management of pancreatic injuries is effective in children, although careful management is required to avoid complications. Pseudocysts smaller than 10 cm were treated successfully by nonoperative management, and those larger than 10 cm required surgical management.
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Affiliation(s)
- K Kouchi
- Department of Pediatric Surgery, School of Medicine, Chiba University, Japan
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34
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Kimura M, Ohe K, Yoshihara H, Ando Y, Kawamata F, Hishiki T, Ohashi K, Sakusabe T, Tani S, Akiyama M. Patient information exchange guideline MERIT-9 using medical markup language MML. Stud Health Technol Inform 1999; 52 Pt 1:433-7. [PMID: 10384494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
Abstract
To realize clinical data exchange between healthcare providers, there must be many standards in many layers. Terms and codes should be standardized, syntax to wrap the data must be mutually parsable, then transfer protocol or exchange media should be agreed. Among many standards for the syntax, HL7 and DICOM are most successful. However, everything could not be handled by HL7 solely. DICOM is good for radiology images, but, other clinical images are already handled by other "lighter" data formats like JPEG, TIFF. So, it is not realistic to use only one standard for every area of clinical information. For description of medical records, especially for narrative information, we created SGML DTD for medical information, called MML (Medical Markup Language). It is already implemented in more than 10 healthcare providers in Japan. As it is a hierarchical description of information, it is easily used as a basis of object request brokering. It is again not realistic to use MML solely for clinical information in various level of detail. Therefore, we proposed a guide-line for use of available medical standards to facilitate clinical information exchange between healthcare providers. It is called MERIT-9 (MEdical Records, Images, Texts,--Information eXchange). A typical use is HL7 files, DICOM files, referred from an MML file in a patient record, as external entities. Both MML and MERIT-9 are research projects of Japanese Ministry of Health and Welfare, and the purpose is to facilitate clinical data exchanges. They are becoming to be used in technical specifications for new hospital information systems in Japan.
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Affiliation(s)
- M Kimura
- Department of Medical Informatics, Hamamatsu University, Japan.
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35
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Shimada H, Nagano S, Ariga Y, Unno M, Egawa T, Hishiki T, Ishimura Y, Masuya F, Obata T, Hori H. Putidaredoxin-cytochrome p450cam interaction. Spin state of the heme iron modulates putidaredoxin structure. J Biol Chem 1999; 274:9363-9. [PMID: 10092615 DOI: 10.1074/jbc.274.14.9363] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
During the monooxygenase reaction catalyzed by cytochrome P450cam (P450cam), a ternary complex of P450cam, reduced putidaredoxin, and d-camphor is formed as an obligatory reaction intermediate. When ligands such as CO, NO, and O2 bind to the heme iron of P450cam in the intermediate complex, the EPR spectrum of reduced putidaredoxin with a characteristic signal at 346 millitesla at 77 K changed into a spectrum having a new signal at 348 millitesla. The experiment with O2 was carried out by employing a mutant P450cam with Asp251 --> Asn or Gly where the rate of electron transfer from putidaredoxin to oxyferrous P450cam is considerably reduced. Such a ligand-induced EPR spectral change of putidaredoxin was also shown in situ in Pseudomonas putida. Mutations introduced into the neighborhood of the iron-sulfur cluster of putidaredoxin revealed that a Ser44 --> Gly mutation mimicked the ligand-induced spectral change of putidaredoxin. Arg109 and Arg112, which are in the putative putidaredoxin binding site of P450cam, were essential for the spectral changes of putidaredoxin in the complex. These results indicate that a change in the P450cam active site that is the consequence of an altered spin state is transmitted to putidaredoxin within the ternary complex and produces a conformational change of the 2Fe-2S active center.
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Affiliation(s)
- H Shimada
- Department of Biochemistry, School of Medicine, Keio University, Shinano-machi, Shinjuku-ku, Tokyo 160-8582, Japan.
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36
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Iijima T, Suzuki S, Sekizuka K, Hishiki T, Yagame M, Jinde K, Saotome N, Suzuki D, Sakai H, Tomino Y. Follow-up study on urinary type IV collagen in patients with early stage diabetic nephropathy. J Clin Lab Anal 1998; 12:378-82. [PMID: 9850190 PMCID: PMC6807803 DOI: 10.1002/(sici)1098-2825(1998)12:6<378::aid-jcla8>3.0.co;2-j] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Type IV collagen is a major component released from the glomerular and tubular basement membranes. To investigate the alteration of renal type IV collagen turnover in early stage diabetic nephropathy, urinary type IV collagen was measured by a highly sensitive one-step sandwich enzyme immunoassay (EIA). Urinary samples were obtained from 94 diabetic patients without overt proteinuria. Among those patients, 61 were normoalbuminuric and 33 patients were in the microalbuminuric group. Levels of urinary type IV collagen were serially examined at the start of this study and again one year later. The levels of urinary type IV collagen in patients in the microalbuminuric group were significantly higher than those in the normoalbuminuric group (P < 0.01). There was a significant correlation between the concentration of urinary albumin and urinary type IV collagen in both groups (P < 0.05). Twenty-eight patients (45.3%) in the normoalbuminuric group who showed an abnormal elevation of urinary type IV collagen in comparison to the reference range of normal healthy adults (normal range; less than 3.5 microg/g x Cr). Seven (25%) out of these 28 normoalbuminuric patients with increased urinary type IV collagen progressed to the microalbuminuric group one year later. The levels of urinary type IV collagen in such patients were significantly increased. In the 21 patients who stayed within the normoalbuminuric group, the urinary type IV collagen levels were significantly decreased one year later. It appears that the levels of urinary type IV collagen might reflect ongoing alteration of the extracellular matrix (ECM) turnover and might define more specifically the early stage diabetic nephropathy than the detection of microalbuminuria. It is concluded that the serial measurement of urinary type IV collagen can be a useful marker for detecting renal injury in diabetes.
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Affiliation(s)
- T Iijima
- Department of Internal Medicine, Juntendo Urayasu Hospital, Chiba, Japan
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37
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Matsunaga T, Shirasawa H, Hishiki T, Enomoto H, Kouchi K, Ohtsuka Y, Iwai J, Yoshida H, Tanabe M, Kobayashi S, Asano T, Etoh T, Nishi Y, Ohnuma N. Expression of MRP and cMOAT in childhood neuroblastomas and malignant liver tumors and its relevance to clinical behavior. Jpn J Cancer Res 1998; 89:1276-83. [PMID: 10081488 PMCID: PMC5921738 DOI: 10.1111/j.1349-7006.1998.tb00524.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Advanced neuroblastoma and malignant liver tumor are representative childhood cancers for which combined chemotherapy including cisplatin and doxorubicin is routinely performed. The prognosis of patients with tumors which develop multiple drug resistance (MDR) is unfavorable. To elucidate the role of multidrug resistance-associated protein (MRP) and canalicular multispecific organic anion transporter (cMOAT) in the clinical behavior of the tumors, we examined 42 neuroblastomas and 10 malignant liver tumors for the expressions of MRP and cMOAT by quantitative RNA-polymerase chain reaction (PCR). The amplification and expression of N-myc oncogene in the neuroblastomas were also investigated. We found a close association between MRP and N-myc expression in each neuroblastoma sample but no significant relationship between MRP expression and the patients' outcome. The forced expression of N-myc failed to enhance the expression of MRP in N-myc transfected neuroblastoma cell lines. cMOAT was rarely expressed in the neuroblastomas, but was frequently expressed in the malignant liver tumors. The expression of MRP and cMOAT in the childhood liver tumors was more common and higher, especially in advanced cases with a poor outcome, than that observed in normal liver or in 9 hepatocellular carcinomas from adult patients. The enhanced expression of these genes might be characteristic of childhood malignant liver tumors and related to their clinical chemoresistance.
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Affiliation(s)
- T Matsunaga
- Department of Pediatric Surgery, Chiba University, School of Medicine
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Takizawa H, Satoh T, Kurusu A, Hishiki T, Shike T, Gohda T, Maeda A, Makita Y, Suzuki S, Fukui M, Tomino Y. Increase of urinary type IV collagen in normoalbuminuric patients with impaired glucose tolerance. Nephron Clin Pract 1998; 79:474-5. [PMID: 9689166 DOI: 10.1159/000045096] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Hishiki T, Nimura Y, Isogai E, Kondo K, Ichimiya S, Nakamura Y, Ozaki T, Sakiyama S, Hirose M, Seki N, Takahashi H, Ohnuma N, Tanabe M, Nakagawara A. Glial cell line-derived neurotrophic factor/neurturin-induced differentiation and its enhancement by retinoic acid in primary human neuroblastomas expressing c-Ret, GFR alpha-1, and GFR alpha-2. Cancer Res 1998; 58:2158-65. [PMID: 9605760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Neuroblastomas often undergo spontaneous differentiation and/or regression in vivo, which is at least partly regulated by the signals through neurotrophins and their receptors. Recently, glial cell line-derived neurotrophic factor (GDNF) and a second family member, neurturin (NTN), have been found to mediate their signals by binding to a heterotetrameric complex of c-Ret tyrosine kinase receptors and glycosylphosphatidylinositol-linked proteins, GFR alpha-1 (GDNFR-alpha) or GFR alpha-2 (TrnR2/GDNFR-beta/NTNR-alpha/RETL2). Here, we studied the effect of GDNF and NTN on human neuroblastomas in the short-term primary culture system, as well as the expression of c-Ret, GFR alpha-1, GFR alpha-2, GDNF, and NTN. GDNF (1-100 ng/ml) induced morphological differentiation in 34 of 38 primary neuroblastomas and an accompanying increase in c-Fos induction. These effects were markedly enhanced by treatment with 5 microM all-trans-retinoic acid. Although GDNF alone induced a rather weak differentiation independent of the disease stages, the enhancement of neurite outgrowth induced by treatment with both GDNF and all-trans-retinoic acid was significantly correlated with younger age (less than 1 year; P = 0.0039), non-stage 4 diseases (P = 0.0023), a single copy of N-myc (P = 0.027), and high levels of TRK-A expression (P = 0.0062). To examine the expression levels of GFR alpha-1, we cloned a short form of the human GFR alpha-1 gene with a 15-bp deletion by screening a human adult substantia nigra cDNA library. Many primary neuroblastomas expressed c-Ret, GFR alpha-1, and GFR alpha-2 as well as their ligands, GDNF and NTN, suggesting the presence of a paracrine or autocrine signaling system within the tumor tissue. The effect of NTN on primary culture cells of neuroblastoma was similar to that of GDNF. These imply that the GDNF(NTN)/c-Ret/GFR alpha-1(GFR alpha-2) signaling may have an important role in regulating the growth, differentiation, and cell death of neuroblastomas.
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Affiliation(s)
- T Hishiki
- Chiba Cancer Center Research Institute, and Department of Pediatric Surgery, Chiba University School of Medicine, Japan
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Hiwasa T, Kondo K, Hishiki T, Koshizawa S, Umezawa K, Nakagawara A. GDNF-induced neurite formation was stimulated by protein kinase inhibitors and suppressed by Ras inhibitors. Neurosci Lett 1997; 238:115-8. [PMID: 9464633 DOI: 10.1016/s0304-3940(97)00861-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The effects of various inhibitors on the glial cell line-derived neurotrophic factor (GDNF)-induced neurite formation in TGW human neuroblastoma cells were investigated. Treatment of cells with Ser/Thr protein kinase inhibitors such as staurosporine, H-7, H-8 and HA-1004, induced neurite formation without GDNF. On the other hand, tyrosine kinase inhibitors such as erbstatin, genistein and herbimycin A did not produce neurites per se, but effectively enhanced the GDNF-induced neurite formation. A phosphatase inhibitor, okadaic acid, and Ras inhibitors such as oxanosine, damnacanthal and conophylline strongly suppressed the effect of GDNF. These results suggest that a tyrosine protein kinase has a suppressive role in the neurite formation induced by GDNF and that Ras is necessary for the signaling initiated by GDNF.
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Affiliation(s)
- T Hiwasa
- Department of Biochemistry, School of Medicine, Chiba University, Japan.
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Ozaki T, Hishiki T, Toyama Y, Yuasa S, Nakagawara A, Sakiyama S. Identification of a new cellular protein that can interact specifically with DAN. DNA Cell Biol 1997; 16:985-91. [PMID: 9303440 DOI: 10.1089/dna.1997.16.985] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Recently, we demonstrated that the DAN gene product contains a growth- and/or a tumor-suppressive activity in vitro. In the present work, using a yeast two-hybrid system, we searched for cellular proteins that can associate with the DAN gene product. A cDNA clone, termed DA41, was initially isolated from an adult rat lung cDNA library. The DA41 gene was expressed in all adult tissues examined, however, the levels of expression varied significantly among the different tissues. Like the DAN gene product, the DA41 protein was similarly restricted to the cytoplasm. Sequence analysis revealed that DA41 cDNA is 2,167 nucleotides in length and contains a single open reading frame (ORF) of 582 amino acids (61,945 daltons). A homology search revealed that the DA41 gene product shares no structural similarity with those filed in the data base. In a synchronous 3Y1 cell culture, DA41 mRNA was expressed at a low level in quiescent cells; however, its level was significantly increased between the G1 and S phases of the cell cycle. On the other hand, the expression level of DAN mRNA did not change throughout the cell cycle progression. These results suggest that the DAN-DA41 complex might play a crucial role in the regulation of the cell cycle progression.
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Affiliation(s)
- T Ozaki
- Division of Biochemistry, Chiba Cancer Center Research Institute, Japan
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Hishiki T, Tomino Y. [Pyelitis glandularis]. Ryoikibetsu Shokogun Shirizu 1997:252-3. [PMID: 9277733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- T Hishiki
- Department of Internal Medicine, Juntendo University School of Medicine
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Hishiki T, Tomino Y, Inokuchi S, Shirato I, Ebihara I, Kubota M, Nakayama S, Koide H. Two adult cases of IgM-associated mesangial proliferative glomerulonephritis. Nihon Jinzo Gakkai Shi 1994; 36:942-946. [PMID: 7933671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Two adult patients with mesangial proliferative glomerulonephritis with diffuse IgM deposition in the glomeruli are reported. Case 1 was a 25-year-old female with nephrotic syndrome who showed complete remission after treatment with prednisolone (PSL). Case 2 was a 46-year-old male with asymptomatic proteinuria who showed incomplete remission (0.5-1.0 g/24 hr) of urinary protein without any medication. In light microscopy, these patients revealed minimal or slight proliferation of glomerular mesangial cells without glomerular sclerosis and crescent formation. Deposition of IgM and C3 was observed in the glomerular mesangial areas and capillary walls by immunofluorescence. Electron-dense deposits were observed in the glomerular mesangial areas in these patients. Mesangial proliferative glomerulonephritis associated with diffuse IgM deposition in the glomeruli appears to have a benign clinical course. It has also been suggested that this disease has variant clinical courses since we recently experienced two other patients with mesangial proliferative glomerulonephritis with focal IgM deposits who showed renal tubular dysfunction or chronic renal failure.
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Affiliation(s)
- T Hishiki
- Department of Medicine, Juntendo University School of Medicine, Tokyo, Japan
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Sekizuka K, Tomino Y, Sei C, Kurusu A, Tashiro K, Yamaguchi Y, Kodera S, Hishiki T, Shirato I, Koide H. Detection of serum IL-6 in patients with diabetic nephropathy. Nephron Clin Pract 1994; 68:284-5. [PMID: 7830879 DOI: 10.1159/000188281] [Citation(s) in RCA: 55] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
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