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  1. AU="Kawamura, Michihiro"
  2. AU="Reinius, Björn"
  3. AU="Reis, L C"
  4. AU=Bonsignore M R
  5. AU="Millard, Glenda M"
  6. AU="Springer, Andrea"
  7. AU="Hyunho Han"
  8. AU="Grommen, Sylvia V H"
  9. AU="Asemani, Yahya"
  10. AU="Ketomäki, Tuomo"
  11. AU=Cavallini Giorgio
  12. AU="Saha, Aakash"
  13. AU="Noguchi, J"
  14. AU="Löhr, B."
  15. AU="Lokie, Kelsey B"

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  1. Artikel ; Online: Increased ACE2 and TMPRSS2 expression in ulcerative colitis.

    Hamamoto, Yuichiro / Kawamura, Michihiro / Uchida, Hiroki / Hiramatsu, Kazuhiro / Katori, Chiaki / Asai, Hinako / Egawa, Satoshi / Yoshida, Kyotaro

    Pathology, research and practice

    2024  Band 254, Seite(n) 155108

    Abstract: Ulcerative colitis (UC) is a cryptogenic inflammatory bowel disease, and there is an urgent need to elucidate its pathogenesis. ACE2 and TMPRSS2, the entry molecules of SARS-CoV-2, are reportedly associated with the disease; however, no consensus has ... ...

    Abstract Ulcerative colitis (UC) is a cryptogenic inflammatory bowel disease, and there is an urgent need to elucidate its pathogenesis. ACE2 and TMPRSS2, the entry molecules of SARS-CoV-2, are reportedly associated with the disease; however, no consensus has been reached yet. In this study, we examined the expression of ACE2 and TMPRSS2 in colon and rectal specimens of UC. We collected colorectal specimens from 60 patients (30 patients with UC and 30 controls from 2018 to 2021) and analyzed the proportion and intensity of ACE2 and TMPRSS2 using immunohistochemistry. The results revealed a significant increase in the proportion of ACE2 expression and the intensity of TMPRSS2 expression in patients with UC. ACE2 and TMPRSS2 expression in UC remained unaffected by the COVID-19 pandemic. We demonstrated that ACE2 and TMPRSS2 are likely involved in the pathogenesis of UC.
    Mesh-Begriff(e) Humans ; Angiotensin-Converting Enzyme 2 ; Colitis, Ulcerative ; Pandemics ; COVID-19 ; SARS-CoV-2 ; Serine Endopeptidases
    Chemische Substanzen Angiotensin-Converting Enzyme 2 (EC 3.4.17.23) ; TMPRSS2 protein, human (EC 3.4.21.-) ; Serine Endopeptidases (EC 3.4.21.-)
    Sprache Englisch
    Erscheinungsdatum 2024-01-10
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 391889-0
    ISSN 1618-0631 ; 0344-0338
    ISSN (online) 1618-0631
    ISSN 0344-0338
    DOI 10.1016/j.prp.2024.155108
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: The Histological Detection of Ulcerative Colitis Using a No-Code Artificial Intelligence Model.

    Hamamoto, Yuichiro / Kawamura, Michihiro / Uchida, Hiroki / Hiramatsu, Kazuhiro / Katori, Chiaki / Asai, Hinako / Shimizu, Shigeki / Egawa, Satoshi / Yoshida, Kyotaro

    International journal of surgical pathology

    2023  , Seite(n) 10668969231204955

    Abstract: Ulcerative colitis (UC) is an intractable disease that affects young adults. Histological findings are essential for its diagnosis; however, the number of diagnostic pathologists is limited. Herein, we used a no-code artificial intelligence (AI) platform ...

    Abstract Ulcerative colitis (UC) is an intractable disease that affects young adults. Histological findings are essential for its diagnosis; however, the number of diagnostic pathologists is limited. Herein, we used a no-code artificial intelligence (AI) platform "Teachable Machine" to train a model that could distinguish between histological images of UC, non-UC coloproctitis, adenocarcinoma, and control. A total of 5100 histological images for training and 900 histological images for testing were prepared by pathologists. Our model showed accuracies of 0.99, 1.00, 0.99, and 0.99, for UC, non-UC coloproctitis, adenocarcinoma, and control, respectively. This is the first report in which a no-code easy AI platform has been able to comprehensively recognize the distinctive histologic patterns of UC.
    Sprache Englisch
    Erscheinungsdatum 2023-10-25
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 1336393-1
    ISSN 1940-2465 ; 1066-8969
    ISSN (online) 1940-2465
    ISSN 1066-8969
    DOI 10.1177/10668969231204955
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: Aberrant MUC Immunohistochemical Expressions in Inflammatory Bowel Diseases.

    Hamamoto, Yuichiro / Kawamura, Michihiro / Uchida, Hiroki / Takagahara, Kojiro / Katori, Chiaki / Asai, Hinako / Harada, Hiroshi / Shimizu, Shigeki / Morii, Eiichi / Yoshida, Kyotaro

    Applied immunohistochemistry & molecular morphology : AIMM

    2022  Band 31, Heft 2, Seite(n) 107–112

    Abstract: Ulcerative colitis (UC) and Crohn disease (CD) are cryptogenic inflammatory bowel diseases that are suggestive of aberrant mucin (MUC) expression; however, their relationship remains unclear. Here, we examined aberrant MUC expression in intestinal ... ...

    Abstract Ulcerative colitis (UC) and Crohn disease (CD) are cryptogenic inflammatory bowel diseases that are suggestive of aberrant mucin (MUC) expression; however, their relationship remains unclear. Here, we examined aberrant MUC expression in intestinal samples from UC and CD patients in comparison to samples from patients with ischemic colitis and control groups. To study the expression of MUC1 , MUC5AC , and MUC6 in different patient groups, we reviewed the slides stained with hematoxylin and eosin and performed immunohistochemistry. The results revealed that MUC1 was expressed more in the UC group and MUC6 in the CD group. No significant changes were observed in MUC expression in the ischemic colitis group. Overall, we demonstrated changes in MUC expression in UC and CD, which can help in the diagnosis and early clinical management of UC and CD.
    Mesh-Begriff(e) Humans ; Mucins/metabolism ; Colitis, Ischemic ; Inflammatory Bowel Diseases ; Intestines
    Chemische Substanzen Mucins
    Sprache Englisch
    Erscheinungsdatum 2022-12-28
    Erscheinungsland United States
    Dokumenttyp Review ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1473273-7
    ISSN 1533-4058 ; 1062-3345 ; 1541-2016
    ISSN (online) 1533-4058
    ISSN 1062-3345 ; 1541-2016
    DOI 10.1097/PAI.0000000000001096
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Kikuchi Disease After SARS-CoV-2 Vaccination: A Case Report With Immunohistochemical Analyses.

    Hamamoto, Yuichiro / Kawamura, Michihiro / Mori, Hideo / Uchida, Hiroki / Hiramatsu, Kazuhiro / Katori, Chiaki / Asai, Hinako / Kawasaki, Hiroko / Minamino, Taishi / Hashimoto, Michiko / Nakatsuka, Shin-Ichi / Yoshida, Kyotaro

    International journal of surgical pathology

    2023  , Seite(n) 10668969231212428

    Abstract: SARS-CoV-2 vaccines have been administered in many countries after the COVID-19 pandemic. Lymphadenopathy is a side effect of SARS-CoV-2 vaccine. We report a rare example of Kikuchi disease in the cervical lymph nodes after SARS-CoV-2 vaccination. A 41- ... ...

    Abstract SARS-CoV-2 vaccines have been administered in many countries after the COVID-19 pandemic. Lymphadenopathy is a side effect of SARS-CoV-2 vaccine. We report a rare example of Kikuchi disease in the cervical lymph nodes after SARS-CoV-2 vaccination. A 41-year-old man complained of a swollen neck and fever 9 days after the first dose of SARS-CoV-2 mRNA-1273 vaccine. Computed tomography revealed enlarged cervical lymph nodes. Fine needle aspiration and resection were performed, and the clinicopathological diagnosis was consistent with Kikuchi disease. Histologically, the resected lymph nodes lost their polarity, and many histiocytes were aggregated with karyorrhectic nuclear debris and apoptosis. SARS-CoV-2 positive cells were small lymphocytes detected by immunohistochemistry. This is the first report that demonstrated SARS-CoV-2 expression in Kikuchi disease post-SARS-CoV-2 vaccination.
    Sprache Englisch
    Erscheinungsdatum 2023-11-19
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 1336393-1
    ISSN 1940-2465 ; 1066-8969
    ISSN (online) 1940-2465
    ISSN 1066-8969
    DOI 10.1177/10668969231212428
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Verfügbar in ZB MED Köln/Königswinter

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