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270 results on '"Kaneko, Hiroto"'

4. Negative impact of immunoparesis in response to anti-SARS-CoV-2 mRNA vaccination of patients with multiple myeloma

Author

Onishi, Akio, Matsumura-Kimoto, Yayoi, Mizutani, Shinsuke, Isa, Reiko, Fujino, Takahiro, Tsukamoto, Taku, Miyashita, Akihiro, Okumura, Keita, Nishiyama, Daichi, Hirakawa, Koichi, Shimura, Kazuho, Kaneko, Hiroto, Kiyota, Miki, Kawata, Eri, Takahashi, Ryoichi, Kobayashi, Tsutomu, Uchiyama, Hitoji, Uoshima, Nobuhiko, Nukui, Yoko, Shimura, Yuji, Inaba, Tohru, and Kuroda, Junya

Published
2024
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5. Real-world practice-based prognostic model for higher-risk myelodysplastic syndromes treated with azacitidine monotherapy: The Kyoto prognostic scoring system

Author

Okamoto, Haruya, Inoue, Yu, Miyashita, Akihiro, Kawaji-Kanayama, Yuka, Chinen, Shotaro, Fujino, Takahiro, Tsukamoto, Taku, Shimura, Yuji, Mizutani, Shinsuke, Kaneko, Hiroto, Kuwahara-Ota, Saeko, Fuchida, Shin-ichi, Nishiyama, Daichi, Hirakawa, Koichi, Uchiyama, Hitoji, Uoshima, Nobuhiko, Kawata, Eri, and Kuroda, Junya

Published
2023
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8. Clinical impacts of frailty, poor performance status, and advanced age in carfilzomib-containing treatment for relapsed/refractory multiple myeloma: post hoc investigation of the KOTOSG multicenter pilot prospective observational study

Author

Kawaji-Kanayama, Yuka, Muramatsu, Ayako, Sasaki, Nana, Shimura, Kazuho, Kiyota, Miki, Fuchida, Shinichi, Isa, Reiko, Fujino, Takahiro, Matsumura-Kimoto, Yayoi, Tsukamoto, Taku, Chinen, Yoshiaki, Mizutani, Shinsuke, Nakao, Mitsushige, Kaneko, Hiroto, Kawata, Eri, Hirakawa, Koichi, Takahashi, Ryoichi, Shimazaki, Chihiro, Uchiyama, Hitoji, Uoshima, Nobuhiko, Shimura, Yuji, Kobayashi, Tsutomu, Taniwaki, Masafumi, and Kuroda, Junya

Published
2022
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10. Binding characteristics of the doxepin E/Z‐isomers to the histamine H1 receptor revealed by receptor‐bound ligand analysis and molecular dynamics study.

Author

Kaneko, Hiroto, Korenaga, Ryunosuke, Nakamura, Ryota, Kawai, Shinnosuke, Ando, Tadashi, and Shiroishi, Mitsunori

Subjects
*ISOMERS, *HISTAMINE receptors, *TRICYCLIC antidepressants, *MOLECULAR dynamics, *DOXEPIN
Abstract

Doxepin is an antihistamine and tricyclic antidepressant that binds to the histamine H1 receptor (H1R) with high affinity. Doxepin is an 85:15 mixture of the E‐ and Z‐isomers. The Z‐isomer is well known to be more effective than the E‐isomer, whereas based on the crystal structure of the H1R/doxepin complex, the hydroxyl group of Thr1123.37 is close enough to form a hydrogen bond with the oxygen atom of the E‐isomer. The detailed binding characteristics and reasons for the differences remain unclear. In this study, we analyzed doxepin isomers bound to the receptor following extraction from a purified H1R protein complexed with doxepin. The ratio of the E‐ and Z‐isomers bound to wild‐type (WT) H1R was 55:45, indicating that the Z‐isomer was bound to WT H1R with an approximately 5.2‐fold higher affinity than the E‐isomer. For the T1123.37V mutant, the E/Z ratio was 89:11, indicating that both isomers have similar affinities. Free energy calculations using molecular dynamics (MD) simulations also reproduced the experimental results of the relative binding free energy differences between the isomers for WT and T1123.37V. Furthermore, MD simulations revealed that the hydroxyl group of T1123.37 did not form hydrogen bonds with the E‐isomer, but with the adjacent residues in the binding pocket. Analysis of the receptor‐bound doxepin and MD simulations suggested that the hydroxyl group of T1123.37 contributes to the formation of a chemical environment in the binding pocket, which is slightly more favorable for the Z‐isomer without hydrogen bonding with doxepin. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Clinical impacts of severe thrombocytopenia in the first cycle of azacitidine monotherapy and cytogenetics in patients with myelodysplastic syndrome: The Kyoto Conditional Survival Scoring System

Author

Inoue, Yu, primary, Okamoto, Haruya, additional, Miyashita, Akihiro, additional, Kawaji‑Kanayama, Yuka, additional, Chinen, Shotaro, additional, Fujino, Takahiro, additional, Tsukamoto, Taku, additional, Shimura, Yuji, additional, Mizutani, Shinsuke, additional, Kaneko, Hiroto, additional, Kuwahara‑Ota, Saeko, additional, Fuchida, Shin-Ichi, additional, Nishiyama, Daichi, additional, Hirakawa, Koichi, additional, Uchiyama, Hitoji, additional, Uoshima, Nobuhiko, additional, Kawata, Eri, additional, and Kuroda, Junya, additional

Published
2023
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14. Sequential therapy of four cycles of bortezomib, melphalan, and prednisolone followed by continuous lenalidomide and dexamethasone for transplant-ineligible newly diagnosed multiple myeloma

Author

Isa, Reiko, Uoshima, Nobuhiko, Takahashi, Ryoichi, Nakano-Akamatsu, Sonoko, Kawata, Eri, Kaneko, Hiroto, Shimura, Kazuho, Kamitsuji, Yuri, Takimoto-Shimomura, Tomoko, Mizutani, Shinsuke, Chinen, Yoshiaki, Ohshiro, Muneo, Fujino, Takahiro, Kawaji, Yuka, Uchiyama, Hitoji, Sasaki, Nana, Tsukamoto, Taku, Shimura, Yuji, Kobayashi, Tsutomu, Taniwaki, Masafumi, and Kuroda, Junya

Published
2020
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15. Combined rituximab, bendamustine, and dexamethasone chemotherapy for relapsed or refractory indolent B-cell non-Hodgkin lymphoma and mantle cell lymphoma: a multicenter phase II study

Author

Matsumoto, Yosuke, Kobayashi, Tsutomu, Shimura, Yuji, Kawata, Eri, Nagoshi, Hisao, Ohshiro, Muneo, Sugitani, Mio, Shimura, Kazuho, Iwai, Toshiki, Fuchida, Shin-ichi, Yoshida, Mihoko, Kiyota, Miki, Mizutani, Shinsuke, Chinen, Yoshiaki, Takimoto-Shimomura, Tomoko, Nakao, Mitsushige, Kaneko, Hiroto, Uchiyama, Hitoji, Uoshima, Nobuhiko, Nishigaki, Hikari, Kobayashi, Yutaka, Horiike, Shigeo, Shimazaki, Chihiro, Taniwaki, Masafumi, and Kuroda, Junya

Published
2019
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16. Immunosuppressive therapy with rabbit antithymocyte globulin therapy for acquired aplastic anemia: a multi-institutional retrospective study in Japanese adult patients

Author

Sasaki, Nana, Shimura, Kazuho, Yoshida, Mihoko, Uoshima, Nobuhiko, Kiyota, Miki, Hatsuse, Mayumi, Uchiyama, Hitoji, Chinen, Yoshiaki, Kobayashi, Tsutomu, Nakao, Mitsushige, Takahashi, Ryoichi, Nakano-Akamatsu, Sonoko, Kaneko, Hiroto, Kobayashi, Yutaka, Shimazaki, Chihiro, Taniwaki, Masafumi, Kuroda, Junya, and The Kyoto Clinical Hematology Study Group (KOTOSG) investigators

Published
2019
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18. Predicting global distributions of eukaryotic plankton communities from satellite data

Author

80795055, 70291432, Kaneko, Hiroto, Endo, Hisashi, Henry, Nicolas, Berney, Cédric, Mahé, Frédéric, Poulain, Julie, Labadie, Karine, Beluche, Odette, El Hourany, Roy, Tara Oceans Coordinators, Chaffron, Samuel, Wincker, Patrick, Nakamura, Ryosuke, Karp-Boss, Lee, Boss, Emmanuel, Bowler, Chris, de Vargas, Colomban, Tomii, Kentaro, Ogata, Hiroyuki, 80795055, 70291432, Kaneko, Hiroto, Endo, Hisashi, Henry, Nicolas, Berney, Cédric, Mahé, Frédéric, Poulain, Julie, Labadie, Karine, Beluche, Odette, El Hourany, Roy, Tara Oceans Coordinators, Chaffron, Samuel, Wincker, Patrick, Nakamura, Ryosuke, Karp-Boss, Lee, Boss, Emmanuel, Bowler, Chris, de Vargas, Colomban, Tomii, Kentaro, and Ogata, Hiroyuki

Abstract

Satellite remote sensing is a powerful tool to monitor the global dynamics of marine plankton. Previous research has focused on developing models to predict the size or taxonomic groups of phytoplankton. Here, we present an approach to identify community types from a global plankton network that includes phytoplankton and heterotrophic protists and to predict their biogeography using global satellite observations. Six plankton community types were identified from a co-occurrence network inferred using a novel rDNA 18 S V4 planetary-scale eukaryotic metabarcoding dataset. Machine learning techniques were then applied to construct a model that predicted these community types from satellite data. The model showed an overall 67% accuracy in the prediction of the community types. The prediction using 17 satellite-derived parameters showed better performance than that using only temperature and/or the concentration of chlorophyll a. The constructed model predicted the global spatiotemporal distribution of community types over 19 years. The predicted distributions exhibited strong seasonal changes in community types in the subarctic–subtropical boundary regions, which were consistent with previous field observations. The model also identified the long-term trends in the distribution of community types, which suggested responses to ocean warming.

Published
2023

19. Genomic adaptation of giant viruses in polar oceans

Author

80795055, 70291432, Meng, Lingjie, Delmont, Tom O., Gaïa, Morgan, Pelletier, Eric, Fernàndez-Guerra, Antonio, Chaffron, Samuel, Neches, Russell Y., Wu, Junyi, Kaneko, Hiroto, Endo, Hisashi, Ogata, Hiroyuki, 80795055, 70291432, Meng, Lingjie, Delmont, Tom O., Gaïa, Morgan, Pelletier, Eric, Fernàndez-Guerra, Antonio, Chaffron, Samuel, Neches, Russell Y., Wu, Junyi, Kaneko, Hiroto, Endo, Hisashi, and Ogata, Hiroyuki

Abstract

Despite being perennially frigid, polar oceans form an ecosystem hosting high and unique biodiversity. Various organisms show different adaptive strategies in this habitat, but how viruses adapt to this environment is largely unknown. Viruses of phyla Nucleocytoviricota and Mirusviricota are groups of eukaryote-infecting large and giant DNA viruses with genomes encoding a variety of functions. Here, by leveraging the Global Ocean Eukaryotic Viral database, we investigate the biogeography and functional repertoire of these viruses at a global scale. We first confirm the existence of an ecological barrier that clearly separates polar and nonpolar viral communities, and then demonstrate that temperature drives dramatic changes in the virus–host network at the polar–nonpolar boundary. Ancestral niche reconstruction suggests that adaptation of these viruses to polar conditions has occurred repeatedly over the course of evolution, with polar-adapted viruses in the modern ocean being scattered across their phylogeny. Numerous viral genes are specifically associated with polar adaptation, although most of their homologues are not identified as polar-adaptive genes in eukaryotes. These results suggest that giant viruses adapt to cold environments by changing their functional repertoire, and this viral evolutionary strategy is distinct from the polar adaptation strategy of their hosts.

Published
2023

20. Impact of Treatment with Anti-CD20 Monoclonal Antibody on the Production of Neutralizing Antibody Against Anti–SARS-CoV-2 Vaccination in Mature B-Cell Neoplasms

Author

Onishi,Akio, Matsumura-Kimoto,Yayoi, Mizutani,Shinsuke, Tsukamoto,Taku, Fujino,Takahiro, Miyashita,Akihiro, Nishiyama,Daichi, Shimura,Kazuho, Kaneko,Hiroto, Kawata,Eri, Takahashi,Ryoichi, Kobayashi,Tsutomu, Uchiyama,Hitoji, Uoshima,Nobuhiko, Nukui,Yoko, Shimura,Yuji, Inaba,Tohru, Kuroda,Junya, Onishi,Akio, Matsumura-Kimoto,Yayoi, Mizutani,Shinsuke, Tsukamoto,Taku, Fujino,Takahiro, Miyashita,Akihiro, Nishiyama,Daichi, Shimura,Kazuho, Kaneko,Hiroto, Kawata,Eri, Takahashi,Ryoichi, Kobayashi,Tsutomu, Uchiyama,Hitoji, Uoshima,Nobuhiko, Nukui,Yoko, Shimura,Yuji, Inaba,Tohru, and Kuroda,Junya

Abstract

Akio Onishi,1 Yayoi Matsumura-Kimoto,1,2 Shinsuke Mizutani,1 Taku Tsukamoto,1 Takahiro Fujino,1 Akihiro Miyashita,1,3 Daichi Nishiyama,4 Kazuho Shimura,5 Hiroto Kaneko,5 Eri Kawata,6 Ryoichi Takahashi,7 Tsutomu Kobayashi,1,8 Hitoji Uchiyama,8 Nobuhiko Uoshima,3 Yoko Nukui,9 Yuji Shimura,1 Tohru Inaba,9 Junya Kuroda1 1Division of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan; 2Department of Hematology, Japan Community Health Care Organization Kyoto Kuramaguchi Medical Center, Kyoto, Japan; 3Department of Hematology, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan; 4Department of Hematology, Fukuchiyama City Hospital, Fukuchiyama, Japan; 5Department of Hematology, Aiseikai Yamashina Hospital, Kyoto, Japan; 6Department of Hematology, Matsushita Memorial Hospital, Moriguchi, Japan; 7Department of Hematology, Omihachiman Community Medical Center, Omihachiman, Japan; 8Department of Hematology, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan; 9Division of Infection Control & Molecular Laboratory Medicine, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, JapanCorrespondence: Junya Kuroda, Division of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto, 602-8566, Japan, Tel +81-75-251-5740, Fax +81-75-251-5743, Email junkuro@koto.kpu-m.ac.jpBackground and Purpose: Anti-CD20 monoclonal antibodies (MoAbs), rituximab (RIT), and obinutuzumab (OBZ) are the central components of immunochemotherapy for B-cell lymphoma (BCL). However, these agents potentially cause B-cell depletion, resulting in the impairment of antibody (Ab) production. During the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, the optimal prediction of Ab response against anti–SARS-CoV-2 vaccination is critically important in patients with BCL treated by B-cell depletion therapeutics to prevent coronavirus disease 2019

Published
2023

21. Predicting global distributions of eukaryotic plankton communities from satellite data

Author

Kyoto University, France Génomique, European Research Council, European Commission, Agencia Estatal de Investigación (España), Kaneko, Hiroto, Endo, Hisashi, Henry, Nicolas, Berney, Cédric, Mahé, Frédéric, Poulain, Julie, Labadie, Karine, Beluche, Odette, El Hourany, Roy, Tara Oceans Coordinators, Acinas, Silvia G., Chaffron, Samuel, Wincker, Patrick, Nakamura, Ryosuke, Karp-Boss, Lee, Boss, Emmanuel, Bowler, Chris, Vargas, Colomban de, Tomii, Kentaro, Ogata, Hiroyuki, Kyoto University, France Génomique, European Research Council, European Commission, Agencia Estatal de Investigación (España), Kaneko, Hiroto, Endo, Hisashi, Henry, Nicolas, Berney, Cédric, Mahé, Frédéric, Poulain, Julie, Labadie, Karine, Beluche, Odette, El Hourany, Roy, Tara Oceans Coordinators, Acinas, Silvia G., Chaffron, Samuel, Wincker, Patrick, Nakamura, Ryosuke, Karp-Boss, Lee, Boss, Emmanuel, Bowler, Chris, Vargas, Colomban de, Tomii, Kentaro, and Ogata, Hiroyuki

Abstract

Satellite remote sensing is a powerful tool to monitor the global dynamics of marine plankton. Previous research has focused on developing models to predict the size or taxonomic groups of phytoplankton. Here, we present an approach to identify community types from a global plankton network that includes phytoplankton and heterotrophic protists and to predict their biogeography using global satellite observations. Six plankton community types were identified from a co-occurrence network inferred using a novel rDNA 18 S V4 planetary-scale eukaryotic metabarcoding dataset. Machine learning techniques were then applied to construct a model that predicted these community types from satellite data. The model showed an overall 67% accuracy in the prediction of the community types. The prediction using 17 satellite-derived parameters showed better performance than that using only temperature and/or the concentration of chlorophyll a. The constructed model predicted the global spatiotemporal distribution of community types over 19 years. The predicted distributions exhibited strong seasonal changes in community types in the subarctic–subtropical boundary regions, which were consistent with previous field observations. The model also identified the long-term trends in the distribution of community types, which suggested responses to ocean warming

Published
2023

22. Genomic adaptation of giant viruses in polar oceans

Author

Meng, Lingjie, primary, Delmont, Tom O., additional, Gaïa, Morgan, additional, Pelletier, Eric, additional, Fernàndez-Guerra, Antonio, additional, Chaffron, Samuel, additional, Neches, Russell Y., additional, Wu, Junyi, additional, Kaneko, Hiroto, additional, Endo, Hisashi, additional, and Ogata, Hiroyuki, additional

Published
2023
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23. Impact of Treatment with Anti-CD20 Monoclonal Antibody on the Production of Neutralizing Antibody Against Anti–SARS-CoV-2 Vaccination in Mature B-Cell Neoplasms

Author

Onishi, Akio, primary, Matsumura-Kimoto, Yayoi, additional, Mizutani, Shinsuke, additional, Tsukamoto, Taku, additional, Fujino, Takahiro, additional, Miyashita, Akihiro, additional, Nishiyama, Daichi, additional, Shimura, Kazuho, additional, Kaneko, Hiroto, additional, Kawata, Eri, additional, Takahashi, Ryoichi, additional, Kobayashi, Tsutomu, additional, Uchiyama, Hitoji, additional, Uoshima, Nobuhiko, additional, Nukui, Yoko, additional, Shimura, Yuji, additional, Inaba, Tohru, additional, and Kuroda, Junya, additional

Published
2023
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27. Global observation of plankton communities from space

Author

Kaneko, Hiroto, Endo, Hisashi, Henry, Nicolas, Berney, Cédric, Mahé, Frédéric, Poulain, Julie, Labadie, Karine, Beluche, Odette, El Hourany, Roy, Chaffron, Samuel, Wincker, Patrick, Nakamura, Ryosuke, Karp-Boss, Lee, Boss, Emmanuel, Bowler, Chris, de Vargas, Colomban, Tomii, Kentaro, Ogata, Hiroyuki, Institute for Chemical Research, Kyoto University, ABiMS - Informatique et bioinformatique = Analysis and Bioinformatics for Marine Science (ABIMS), Fédération de recherche de Roscoff (FR2424), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Global Oceans Systems Ecology & Evolution - Tara Oceans (GOSEE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Aix Marseille Université (AMU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Université de Toulon (UTLN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche pour le Développement (IRD [France-Nord])-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-European Molecular Biology Laboratory (EMBL)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Université australe du Chili, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Plant Health Institute of Montpellier (UMR PHIM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Institut de biologie de l'ENS Paris (IBENS), Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences du Numérique de Nantes (LS2N), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ), National Institute of Advanced Industrial Science and Technology (AIST), University of Maine, School of Marine Sciences, ECOlogy of MArine Plankton (ECOMAP), Adaptation et diversité en milieu marin (ADMM), Institut national des sciences de l'Univers (INSU - CNRS)-Station biologique de Roscoff (SBR), and Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Station biologique de Roscoff (SBR)

Subjects
global plankton network, Surveillance communautés de planctons, Plankton communities monitoring, Satelites imagery, [SDV]Life Sciences [q-bio], Observations par satellite, Réseau mondial de plancton, Satellite remote sensing observations, Images satellites
Abstract

Satellite remote sensing from space is a powerful way to monitor the global dynamics of marine plankton. Previous research has focused on developing models to predict the size or taxonomic groups of phytoplankton. Here we present an approach to identify representative communities from a global plankton network that included both zooplankton and phytoplankton and using global satellite observations to predict their biogeography. Six representative plankton communities were identified from a global co-occurrence network inferred using a novel rDNA 18S V4 planetary-scale eukaryotic metabarcoding dataset. Machine learning techniques were then applied to train a model that predicted these representative communities from satellite data. The model showed an overall 67% accuracy in the prediction of the representative communities. The prediction based on 17 satellite-derived parameters showed better performance than based only on temperature and/or the concentration of chlorophyll a. The trained model allowed to predict the global spatiotemporal distribution of communities over 19-years. Our model exhibited strong seasonal changes in the community compositions in the subarctic-subtropical boundary regions, which were consistent with previous field observations. This network-oriented approach can easily be extended to more comprehensive models including prokaryotes as well as viruses.

Published
2022

28. Nutritional and Cytogenetic Assessment Predicts Favorable Response to Azacitidine Monotherapy for Myelodysplastic Syndromes

Author

Okamoto, Haruya, primary, Inoue, Yu, additional, Miyashita, Akihiro, additional, Kawaji-Kanayama, Yuka, additional, Chinen, Shotaro, additional, Fujino, Takahiro, additional, Tsukamoto, Taku, additional, Shimura, Yuji, additional, Mizutani, Shinsuke, additional, Kaneko, Hiroto, additional, Kuwahara, Saeko, additional, Fuchida, Shin-ichi, additional, Nishiyama, Daichi, additional, Hirakawa, Koichi, additional, and Kuroda, Junya, additional

Published
2022
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29. Watchful waiting is an acceptable treatment option for asymptomatic primary ocular adnexal mucosa‐associated lymphoid tissue lymphoma: A retrospective study

Author

Mizuhara, Kentaro, primary, Kobayashi, Tsutomu, additional, Nakao, Mitsushige, additional, Takahashi, Ryoichi, additional, Kaneko, Hiroto, additional, Shimura, Kazuho, additional, Hirakawa, Koichi, additional, Uoshima, Nobuhiko, additional, Wada, Katsuya, additional, Kawata, Eri, additional, Isa, Reiko, additional, Fujino, Takahiro, additional, Tsukamoto, Taku, additional, Mizutani, Shinsuke, additional, Shimura, Yuji, additional, Yoneda, Akiko, additional, Watanabe, Akihide, additional, Sotozono, Chie, additional, and Kuroda, Junya, additional

Published
2022
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37. Watchful waiting is an acceptable treatment option for asymptomatic primary ocular adnexal mucosa‐associated lymphoid tissue lymphoma: A retrospective study.

Author

Mizuhara, Kentaro, Kobayashi, Tsutomu, Nakao, Mitsushige, Takahashi, Ryoichi, Kaneko, Hiroto, Shimura, Kazuho, Hirakawa, Koichi, Uoshima, Nobuhiko, Wada, Katsuya, Kawata, Eri, Isa, Reiko, Fujino, Takahiro, Tsukamoto, Taku, Mizutani, Shinsuke, Shimura, Yuji, Yoneda, Akiko, Watanabe, Akihide, Sotozono, Chie, and Kuroda, Junya

Subjects
MUCOSA-associated lymphoid tissue lymphoma, ADNEXAL diseases, WATCHFUL waiting, ASYMPTOMATIC patients, LACRIMAL apparatus, BLOOD diseases
Abstract

Background: Primary ocular adnexal mucosa‐associated lymphoid tissue (MALT) lymphoma (POAML) is the most common subtype of indolent ocular adnexal lymphomas. Although radiotherapy (RT) is the standard of care for localized POAML, it can occasionally lead to permanent side effects. Other treatment strategies, such as rituximab (R) monotherapy and immunochemotherapy, have been used for POAML treatment, but their long‐term benefits and relative merits remain unclear. While watchful waiting (WW) is a potential option for some indolent lymphomas, the benefits of WW for POAML patients are also unclear. Methods: We here retrospectively analyzed 75 patients who were diagnosed with POAML between 2008 and 2019 in the institutions of the Kyoto Clinical Hematology Study Group. Results: Commonly involved sites were conjunctiva (42.7%), orbit (36.0%), and lacrimal gland (12.0%), and most patients (92.0%) presented with Ann Arbor stage IE disease. The treatment strategy was selected at the physicians' discretion. More patients without subjective symptoms by tumor mass were subjected to WW (29 patients), while more patients with tumor‐derived subjective symptoms were treated by tumor‐directed therapy (24 received focal RT, and 19 received R monotherapy). Complete response rates were 79.2% and 42.1% in the RT and R groups, respectively. At 60 months of follow‐up, the estimated proportions of POAML patients not requiring new treatment were 69.4%, 85.2%, and 53.8% in the WW, RT, and R groups, respectively. There were no significant differences in the time to start a new treatment between WW and RT groups (median: both not reached [NR], p = 0.187) and between WW and R groups (median: NR vs. 69.0 months, p = 0.554). No specific predictive factor for the future need of treatment was identified in the WW group. Conclusion: Our results demonstrate WW may be an acceptable treatment option for POAML, especially for asymptomatic patients. [ABSTRACT FROM AUTHOR]

Published
2023
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39. Bortezomib plus dexamethasone for relapsed or treatment refractory multiple myeloma: the collaborative study at six institutes in Kyoto and Osaka

Author

Kobayashi, Tsutomu, Kuroda, Junya, Shimura, Kazuho, Akaogi, Teruaki, Kawata, Eri, Kiyota, Miki, Tanaka, Takashi, Kamitsuji, Yuri, Murakami, Satoshi, Hatsuse, Mayumi, Okano, Akira, Iwai, Toshiki, Ueda, Satomi, Koshida, Masahiko, Uchiyama, Hitoji, Matsumoto, Yosuke, Kaneko, Hiroto, Uoshima, Nobuhiko, Ueda, Yutaka, Kobayashi, Yutaka, Shimazaki, Chihiro, Horiike, Shigeo, and Taniwaki, Masafumi

Published
2010
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40. Watchful waiting is an Acceptable Treatment Option for Primary Ocular Adnexal Mucosa-associated Lymphoid Tissue Lymphoma: A Retrospective Study

Author

Mizuhara, Kentaro, primary, Kobayashi, Tsutomu, additional, Nakao, Mitsushige, additional, Takahashi, Ryoichi, additional, Kaneko, Hiroto, additional, Shimura, Kazuho, additional, Hirakawa, Koichi, additional, Uoshima, Nobuhiko, additional, Wada, Katsuya, additional, Kawata, Eri, additional, Isa, Reiko, additional, Fujino, Takahiro, additional, Tsukamoto, Taku, additional, Mizutani, Shinsuke, additional, Shimura, Yuji, additional, Yoneda, Akiko, additional, Watanabe, Akihide, additional, Sotozono, Chie, additional, and Kuroda, Junya, additional

Published
2021
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42. Eukaryotic virus composition can predict the efficiency of carbon export in the global ocean

Author

80795055, 00346107, 70291432, Kaneko, Hiroto, Blanc-Mathieu, Romain, Endo, Hisashi, Chaffron, Samuel, Delmont, Tom O., Gaia, Morgan, Henry, Nicolas, Hernández-Velázquez, Rodrigo, Nguyen, Canh Hao, Mamitsuka, Hiroshi, Forterre, Patrick, Jaillon, Olivier, de Vargas, Colomban, Sullivan, Matthew B., Suttle, Curtis A., Guidi, Lionel, Ogata, Hiroyuki, 80795055, 00346107, 70291432, Kaneko, Hiroto, Blanc-Mathieu, Romain, Endo, Hisashi, Chaffron, Samuel, Delmont, Tom O., Gaia, Morgan, Henry, Nicolas, Hernández-Velázquez, Rodrigo, Nguyen, Canh Hao, Mamitsuka, Hiroshi, Forterre, Patrick, Jaillon, Olivier, de Vargas, Colomban, Sullivan, Matthew B., Suttle, Curtis A., Guidi, Lionel, and Ogata, Hiroyuki

Abstract

The biological carbon pump, in which carbon fixed by photosynthesis is exported to the deep ocean through sinking, is a major process in Earth's carbon cycle. The proportion of primary production that is exported is termed the carbon export efficiency (CEE). Based on in-lab or regional scale observations, viruses were previously suggested to affect the CEE (i.e., viral “shunt” and “shuttle”). In this study, we tested associations between viral community composition and CEE measured at a global scale. A regression model based on relative abundance of viral marker genes explained 67% of the variation in CEE. Viruses with high importance in the model were predicted to infect ecologically important hosts. These results are consistent with the view that the viral shunt and shuttle functions at a large scale and further imply that viruses likely act in this process in a way dependent on their hosts and ecosystem dynamics.

Published
2021

43. Quantitative Assessment of Nucleocytoplasmic Large DNA Virus and Host Interactions Predicted by Co-occurrence Analyses

Author

80795055, 70291432, Meng, Lingjie, Endo, Hisashi, Blanc-Mathieu, Romain, Chaffron, Samuel, Hernández-Velázquez, Rodrigo, Kaneko, Hiroto, Ogata, Hiroyuki, 80795055, 70291432, Meng, Lingjie, Endo, Hisashi, Blanc-Mathieu, Romain, Chaffron, Samuel, Hernández-Velázquez, Rodrigo, Kaneko, Hiroto, and Ogata, Hiroyuki

Abstract

Nucleocytoplasmic large DNA viruses (NCLDVs) are highly diverse and abundant in marine environments. However, the knowledge of their hosts is limited because only a few NCLDVs have been isolated so far. Taking advantage of the recent large-scale marine metagenomics census, in silico host prediction approaches are expected to fill the gap and further expand our knowledge of virus-host relationships for unknown NCLDVs. In this study, we built co-occurrence networks of NCLDVs and eukaryotic taxa to predict virus-host interactions using Tara Oceans sequencing data. Using the positive likelihood ratio to assess the performance of host prediction for NCLDVs, we benchmarked several co-occurrence approaches and demonstrated an increase in the odds ratio of predicting true positive relationships 4-fold compared to random host predictions. To further refine host predictions from high-dimensional co-occurrence networks, we developed a phylogeny-informed filtering method, Taxon Interaction Mapper, and showed it further improved the prediction performance by 12-fold. Finally, we inferred virophage-NCLDV networks to corroborate that co-occurrence approaches are effective for predicting interacting partners of NCLDVs in marine environments.

Published
2021

46. Pretreatment serum level of interleukin-6 predicts carfilzomib-induced hypertension in relapsed/refractory multiple myeloma.

Author

Muramatsu, Ayako, Kobayashi, Tsutomu, Kawaji-Kanayama, Yuka, Uchiyama, Hitoji, Sasaki, Nana, Uoshima, Nobuhiko, Nakao, Mitsushige, Takahashi, Ryoichi, Shimura, Kazuho, Kaneko, Hiroto, Kiyota, Miki, Wada, Katsuya, Chinen, Yoshiaki, Hirakawa, Koichi, Fuchida, Shin-ichi, Shimazaki, Chihiro, Mizutani, Shinsuke, Tsukamoto, Taku, Shimura, Yuji, and Taniwaki, Masafumi

Subjects
MULTIPLE myeloma, INTERLEUKIN-6, BLOOD diseases, HYPERTENSION risk factors, HYPERTENSION
Abstract

Carfilzomib (CFZ) constitutes powerful combinatory therapy for relapsed/refractory multiple myeloma (RRMM); however, cardiovascular adverse events (CVAEs) have been shown as major treatment obstacles with the use of CFZ. Along with our multi-institutional prospective observational study by the Kyoto Clinical Hematology Study Group on the efficacy and safety of CFZ-based treatments (UMIN000025108), we here performed an ad hoc analysis of CFZ-related CVAEs in 50 patients with RRMM. We analyzed the association between CFZ-related CVAEs and pre-planned examinations, including patients' background, electrocardiographic findings, echocardiographic findings, and serum/plasma levels of 18 potential candidate biomarkers. The common CVAEs were hypertension (42%), arrhythmia (14%), and prolongation of QT corrected interval (10%), whereas no serious CVAEs occurred. The pretreatment serum level of interleukin-6 was identified as a significant risk factor for CFZ-related hypertension. This study revealed hypertension as the most frequent CFZ-related CVAE and suggested that baseline serum interleukin-6 is a useful predictor for CFZ-induced hypertension. [ABSTRACT FROM AUTHOR]

Published
2022
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47. ADAMTS-13 activity can predict the outcome of disseminated intravascular coagulation in hematologic malignancies treated with recombinant human soluble thrombomodulin

Author

Ohshiro, Muneo, Kuroda, Junya, Kobayashi, Yutaka, Akaogi, Teruaki, Kawata, Eri, Uoshima, Nobuhiko, Kamitsuji, Yuri, Kaneko, Hiroto, Shimura, Kazuho, Shimazaki, Chihiro, Murakami, Satoshi, Hatsuse, Mayumi, Okano, Akira, Kobayashi, Tsutomu, Uchiyama, Hitoji, Matsumoto, Yosuke, Horiike, Shigeo, and Taniwaki, Masafumi

Published
2012
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