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  1. Article: [In Commemoration of the 50th Anniversary of Gan To Kagaku Ryoho].

    Konishi, Toshiro

    Gan to kagaku ryoho. Cancer & chemotherapy

    2023  Volume 50, Issue 1, Page(s) 5–6

    Language Japanese
    Publishing date 2023-02-09
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 604842-0
    ISSN 0385-0684
    ISSN 0385-0684
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Delayed Hemorrhagic Pericardial Effusion Following Blunt Chest Injury.

    Konishi, Takao

    Internal medicine (Tokyo, Japan)

    2023  

    Language English
    Publishing date 2023-11-06
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 32371-8
    ISSN 1349-7235 ; 0021-5120 ; 0918-2918
    ISSN (online) 1349-7235
    ISSN 0021-5120 ; 0918-2918
    DOI 10.2169/internalmedicine.2758-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Evaluation of National Surgical Practice for Lateral Lymph Nodes in Rectal Cancer in an Untrained Setting: Time to Collaborate for Universal Consensus and Training Programs.

    Konishi, Tsuyoshi

    Annals of surgical oncology

    2023  Volume 30, Issue 9, Page(s) 5320–5322

    MeSH term(s) Humans ; Consensus ; Lymph Nodes/surgery ; Lymph Nodes/pathology ; Lymph Node Excision ; Rectal Neoplasms/surgery ; Rectal Neoplasms/pathology ; Abdomen ; Retrospective Studies ; Neoplasm Staging
    Language English
    Publishing date 2023-04-28
    Publishing country United States
    Document type Editorial
    ZDB-ID 1200469-8
    ISSN 1534-4681 ; 1068-9265
    ISSN (online) 1534-4681
    ISSN 1068-9265
    DOI 10.1245/s10434-023-13540-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Continuous mutation of SARS-CoV-2 during migration via three routes at the beginning of the pandemic.

    Konishi, Tomokazu

    PeerJ

    2022  Volume 10, Page(s) e12681

    Abstract: Background: It remains unclear how severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection started, spread worldwide, and mutated to result in the present variants. This difficulty can be attributed to the limitations associated with the ... ...

    Abstract Background: It remains unclear how severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection started, spread worldwide, and mutated to result in the present variants. This difficulty can be attributed to the limitations associated with the analytical methodology for presenting the differences among genomic sequences. In this study, we critically analysed the early data to explain the start and spread of the pandemic.
    Methods: Objective analyses of the RNA sequences of earlier variants of SARS-CoV-2 (up to September 1, 2020, available in DDBJ and GISAID) were performed using Principal Component Analysis (PCA). The results were compared with information on the collection dates and location. The PCA was also conducted for 12 variants of interest to the WHO as of September 2021, and compared with earlier data.
    Results: The pandemic began in Wuhan, China. This strain was suspected to be related to other reported animal viruses; however, they had a minimal similarity. The strain then spreads via three routes while accumulating mutations. Several viral subgroups were identified along the routes, each with a large number of patients reported, indicating high infectivity to humans. These routes were only confirmed by the early data analysis, because newer variants would have more mutations, and would be preferentially be examined by PCA if they were included. On the original axes found in the early variants, the newer variants revealed that they retained previously acquired mutations, which helped to reveal the viral ancestors of the newer variants. The rate of mutation was found to be comparable to that of the influenza H1N1 virus, which causes recurrent seasonal epidemics. Another threat imposed by SARS-CoV-2 is that if the pandemic cannot be contained, new variants may emerge annually, preventing herd immunity.
    Language English
    Publishing date 2022-03-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2703241-3
    ISSN 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.12681
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A Clinical Calculator in the Era of Nonoperative Management for Rectal Cancer-How Should We Intensify or Deescalate Surveillance?

    Konishi, Tsuyoshi

    JAMA network open

    2022  Volume 5, Issue 9, Page(s) e2233868

    MeSH term(s) Humans ; Neoadjuvant Therapy ; Rectal Neoplasms/surgery
    Language English
    Publishing date 2022-09-01
    Publishing country United States
    Document type Journal Article ; Comment
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2022.33868
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: [[SPECT] 4. Introductions of SPECT Reconstruction Algorithm Using the Conjugated Gradient Method and Metal Artifact Reduction Technologies in the Latest SPECT System].

    Konishi, Takahiro

    Nihon Hoshasen Gijutsu Gakkai zasshi

    2022  Volume 78, Issue 8, Page(s) 895–901

    MeSH term(s) Algorithms ; Artifacts ; Phantoms, Imaging ; Tomography, Emission-Computed, Single-Photon
    Language Japanese
    Publishing date 2022-07-13
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2269092-X
    ISSN 1881-4883 ; 0369-4305
    ISSN (online) 1881-4883
    ISSN 0369-4305
    DOI 10.6009/jjrt.2022-2075
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Mutations in SARS-CoV-2 are on the increase against the acquired immunity.

    Konishi, Tomokazu

    PloS one

    2022  Volume 17, Issue 7, Page(s) e0271305

    Abstract: Monovalent vaccines using mRNA or adenoviruses have provided substantial protection against the COVID-19 pandemic in many countries. However, viral mutations have hampered the efficacy of this approach. The Omicron variant, which appeared in Dec 2021, ... ...

    Abstract Monovalent vaccines using mRNA or adenoviruses have provided substantial protection against the COVID-19 pandemic in many countries. However, viral mutations have hampered the efficacy of this approach. The Omicron variant, which appeared in Dec 2021, has caused a pandemic that has exerted pressure on the healthcare system worldwide. The COVID-19 vaccines are not very effective against this variant, resulting in an increased rate of infection and mortality. Owing to the rapidly increasing number of patients, few countries, such as Australia, New Zealand, and Taiwan, which aimed at zero-COVID cases, have discontinued their attempts to contain the spread of infection by imposing strict lockdowns, for example. Therefore, the administration of booster vaccinations has been initiated; however, there are concerns about their effectiveness, sustainability, and possible dangers. There is also the question of how a variant with such isolated mutations originated and whether this is likely to continue in the future. Here, we compare the mutations in the Omicron variant with others by direct PCA to consider questions pertaining to their evolution and characterisation. The Omicron variant, like the other variants, has mutated in humans. The accumulated mutations overwhelmed the acquired immunity and caused a pandemic. Similar mutations are likely to occur in the future. Additionally, the variants infecting animals were investigated; they rapidly mutated in animals and varied from the human strains. These animal-adapted strains are probably not highly infectious or pathogenic to humans. Hence, the possibility of using these strains as vaccines will be discussed.
    MeSH term(s) Adaptive Immunity ; Animals ; COVID-19/prevention & control ; COVID-19 Vaccines ; Communicable Disease Control ; Humans ; Mutation ; Pandemics/prevention & control ; SARS-CoV-2/genetics
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2022-07-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0271305
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Coronavirus, as a source of pandemic pathogens

    Konishi, T.

    bioRxiv

    Abstract: The coronavirus and the influenza virus have similarities and differences. In order to comprehensively compare them, their genome sequencing data were examined by principal component analysis. Variations in coronavirus were smaller than those in a ... ...

    Abstract The coronavirus and the influenza virus have similarities and differences. In order to comprehensively compare them, their genome sequencing data were examined by principal component analysis. Variations in coronavirus were smaller than those in a subclass of the influenza virus. In addition, differences among coronaviruses in a variety of hosts were small. These characteristics may have facilitated the infection of different hosts. Although many of the coronaviruses were more conservative, those repeatedly found among humans showed annual changes. If SARS-CoV-2 changes its genome like the Influenza H type, it will repeatedly spread every few years. In addition, the coronavirus family has many other candidates for subsequent pandemics. One Sentence Summary The genome data of coronavirus were compared to influenza virus, to investigate its spreading mechanism and future status. Coronavirus would repeatedly spread every few years. In addition, the coronavirus family has many other candidates for subsequent pandemics.
    Keywords covid19
    Publisher BioRxiv; WHO
    Document type Article ; Online
    DOI 10.1101/2020.04.26.063032
    Database COVID19

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  9. Article ; Online: Haemorrhoidal bleeding as a co-manifestation of idiopathic pulmonary artery hypertension.

    Konishi, Takao / Uehata, Akimi

    European heart journal. Case reports

    2024  Volume 8, Issue 1, Page(s) ytae021

    Language English
    Publishing date 2024-01-08
    Publishing country England
    Document type Case Reports
    ISSN 2514-2119
    ISSN (online) 2514-2119
    DOI 10.1093/ehjcr/ytae021
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: SARS-CoV-2 mutations among minks show reduced lethality and infectivity to humans.

    Konishi, Tomokazu

    PloS one

    2021  Volume 16, Issue 5, Page(s) e0247626

    Abstract: SARS-CoV-2 infection in minks has become a serious problem, as the virus may mutate and reinfect humans; some countries have decided to cull minks. Here, the virus sequencing data in minks were analysed and compared to those of human-virus. Although the ... ...

    Abstract SARS-CoV-2 infection in minks has become a serious problem, as the virus may mutate and reinfect humans; some countries have decided to cull minks. Here, the virus sequencing data in minks were analysed and compared to those of human-virus. Although the mink-virus maintained the characteristics of human-virus, some variants rapidly mutated, adapting to minks. Some mink-derived variants infected humans, which accounted for 40% of the total SARS-CoV-2 cases in the Netherlands. These variants appear to be less lethal and infective compared to those in humans. Variants that have mutated further among minks were not found in humans. Such mink-viruses might be suitable for vaccination for humans, such as in the case of the smallpox virus, which is less infective and toxic to humans.
    MeSH term(s) Animals ; COVID-19/epidemiology ; COVID-19/pathology ; COVID-19/veterinary ; COVID-19/virology ; Humans ; Mink/virology ; Mutation ; Netherlands/epidemiology ; Principal Component Analysis ; RNA, Viral/chemistry ; RNA, Viral/genetics ; SARS-CoV-2/genetics ; SARS-CoV-2/isolation & purification ; SARS-CoV-2/physiology ; Sequence Analysis, RNA
    Chemical Substances RNA, Viral
    Language English
    Publishing date 2021-05-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0247626
    Database MEDical Literature Analysis and Retrieval System OnLINE

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