1.Regulation of Pancreatic β-Cell Mass by Gene-Environment Interaction
Shun-ichiro ASAHARA ; Hiroyuki INOUE ; Yoshiaki KIDO
Diabetes & Metabolism Journal 2022;46(1):38-48
The main pathogenic mechanism of diabetes consists of an increase in insulin resistance and a decrease in insulin secretion from pancreatic β-cells. The number of diabetic patients has been increasing dramatically worldwide, especially in Asian people whose capacity for insulin secretion is inherently lower than that of other ethnic populations. Causally, changes of environmental factors in addition to intrinsic genetic factors have been considered to have an influence on the increased prevalence of diabetes. Particular focus has been placed on “gene-environment interactions” in the development of a reduced pancreatic β-cell mass, as well as type 1 and type 2 diabetes mellitus. Changes in the intrauterine environment, such as intrauterine growth restriction, contribute to alterations of gene expression in pancreatic β-cells, ultimately resulting in the development of pancreatic β-cell failure and diabetes. As a molecular mechanism underlying the effect of the intrauterine environment, epigenetic modifications have been widely investigated. The association of diabetes susceptibility genes or dietary habits with gene-environment interactions has been reported. In this review, we provide an overview of the role of gene-environment interactions in pancreatic β-cell failure as revealed by previous reports and data from experiments.
2.Failure of Fecal Microbiota Transplantation in a Three-Year-Old Child with Severe Refractory Ulcerative Colitis.
Hideki KUMAGAI ; Koji YOKOYAMA ; Tomoyuki IMAGAWA ; Shun INOUE ; Janyerkye TULYEU ; Mamoru TANAKA ; Takanori YAMAGATA
Pediatric Gastroenterology, Hepatology & Nutrition 2016;19(3):214-220
Fecal microbiota transplantation (FMT) is a treatment designed to correct gut dysbiosis by administration of feces from a healthy volunteer. It is still unclear whether FMT for children with ulcerative colitis (UC) is effective or hazardous. Here we describe a young patient to have received FMT for UC. A three-year-old girl was admitted to our hospital with severe active UC, and treated with aminosalicylates and various immunosuppressive drugs. As remission was not achieved, we decided to try FMT before colectomy. We administered donor fecal material a total of six times by retention enema (×2) and via a nasoduodenal tube (×4) within 10 days. The patient developed abdominal pain and pyrexia after each FMT session. Analyses revealed the transferred donor fecal microbiota had not been retained by the patient, who ultimately underwent colectomy. The severity of the UC and/or timing of FMT may have partly accounted for the poor outcome.
Abdominal Pain
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Child*
;
Colectomy
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Colitis, Ulcerative*
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Dysbiosis
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Enema
;
Fecal Microbiota Transplantation*
;
Feces
;
Female
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Fever
;
Gastrointestinal Microbiome
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Healthy Volunteers
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Humans
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Inflammatory Bowel Diseases
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Microbiota
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Tissue Donors
;
Ulcer*
3.Psoriatic Arthritis Complicating Systemic Sclerosis: Possible Involvement of M2 Macrophages.
Toshifumi YAMAOKA ; Tomoko INOUE ; Shun KITABA ; Akinori YOKOMI ; Hiroaki AZUKIZAWA ; Mika TERAO ; Hiroyuki MUROTA ; Mari HIGASHIYAMA ; Ichiro KATAYAMA
Annals of Dermatology 2015;27(5):631-632
No abstract available.
Arthritis, Psoriatic*
;
Macrophages*
;
Scleroderma, Systemic*
4.Enhanced event-based surveillance for imported diseases during the Tokyo 2020 Olympic and Paralympic Games
Ayu Kasamatsu ; Masayuki Ota ; Tomoe Shimada ; Munehisa Fukusumi ; Takuya Yamagishi ; Anita Samuel ; Manami Nakashita ; Tomohiko Ukai ; Katsuki Kurosawa ; Miho Urakawa ; Kensuke Takahashi ; Keiko Tsukada ; Akane Futami ; Hideya Inoue ; Shun Omori ; Miho Kobayashi ; Takahisa Shimada ; Sakiko Tabata ; Yuichiro Yahata ; Hajime Kamiya ; Fumi Yoshimatsu ; Tomimasa Sunagawa ; Tomoya Saito
Western Pacific Surveillance and Response 2021;12(4):13-19
In 2021, the National Institute of Infectious Diseases, Japan, undertook enhanced event-based surveillance (EBS) for infectious diseases occurring overseas that have potential for importation (excluding coronavirus disease 2019 [COVID-19]) for the Tokyo 2020 Olympic and Paralympic Summer Games (the Games). The pre-existing EBS system was enhanced using the World Health Organization Epidemic Intelligence from Open Sources system and the BlueDot Epidemic Intelligence platform. The enhanced EBS before and during the Games did not detect any major public health event that would warrant action for the Games. However, information from multiple sources helped us identify events, characterize risk and improve confidence in risk assessment. The collaboration also reduced the surveillance workload of the host country, while ensuring the quality of surveillance, even during the COVID-19 pandemic.
5.Use of Epidemic Intelligence from Open Sources for global event-based surveillance of infectious diseases for the Tokyo 2020 Olympic and Paralympic Games
Manami Yanagawa ; John Carlo Lorenzo ; Munehisa Fukusumi ; Tomoe Shimada ; Ayu Kasamatsu ; Masayuki Ota ; Manami Nakashita ; Miho Kobayashi ; Takuya Yamagishi ; Anita Samuel ; Tomohiko Ukai ; Katsuki Kurosawa ; Miho Urakawa ; Kensuke Takahashi ; Keiko Tsukada ; Akane Futami ; Hideya Inoue ; Shun Omori ; Hiroko Komiya ; Takahisa Shimada ; Sakiko Tabata ; Yuichiro Yahata ; Hajime Kamiya ; Tomimasa Sunagawa ; Tomoya Saito ; Viema Biaukula ; Tatiana Metcalf ; Dina Saulo ; Tamano Matsui ; Babatunde Olowokure
Western Pacific Surveillance and Response 2022;13(3):18-24
The establishment of enhanced surveillance systems for mass gatherings to detect infectious diseases that may be imported during an event is recommended. The World Health Organization Regional Office for the Western Pacific contributed to enhanced event-based surveillance for the Tokyo 2020 Olympic and Paralympic Games (the Games) by using Epidemic Intelligence from Open Sources (EIOS) to detect potential imported diseases and report them to the National Institute of Infectious Diseases (NIID), Japan. Daily screening of media articles on global infectious diseases was conducted using EIOS, which were systematically assessed to determine the likelihood of disease importation, spread and significant impact to Japan during the Games. Over 81 days of surveillance, 103 830 articles were screened by EIOS, of which 5441 (5.2%) met the selection criteria for initial assessment, with 587 (0.6%) assessed as signals and reported to NIID. None of the signals were considered to pose a significant risk to the Games based on three risk assessment criteria. While EIOS successfully captured media articles on infectious diseases with a likelihood of importation to and spread in Japan, a significant manual effort was required to assess the articles for duplicates and against the risk assessment criteria. Continued improvement of artificial intelligence is recommended to reduce this effort.