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Huang T, Inomata T, Sung J, Yoshida N, Ishida G, Ohara H, Yamaguchi M, Akasaki Y, Okumura Y, Nagino K, Hirosawa K, Mita T, Nakao S, Ishida N. Human ocular thelaziasis with genetic analysis in Niigata Prefecture, Japan: A case report on an emerging zoonosis. Am J Ophthalmol Case Rep 2024; 34:102030. [PMID: 38510338 PMCID: PMC10951443 DOI: 10.1016/j.ajoc.2024.102030] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 02/07/2024] [Accepted: 02/20/2024] [Indexed: 03/22/2024] Open
Abstract
Purpose We report the clinical findings and molecular identification of ocular Thelazia callipaeda from Niigata Prefecture in the Hokuriku area of Japan during winter. Observations A 77-year-old male visited an ophthalmology clinic in Niigata Prefecture in January 2022 after a 2-week-duration of a conjunctival injection in the left eye and foreign body sensation. Slit-lamp microscopy revealed 11 active nematodes in the left conjunctival sac. Morphological characteristics included longer female body length than male, buccal cavity lacking teeth and lips, and serrated striations along the body surface. The specimens were determined to be T. callipaeda. Genetic analysis of the mitochondrial cytochrome c oxidase subunit 1 (cox1) gene revealed an h9 haplotype. Conclusions and Importance T. callipaeda infection, especially the h9 haplotype, commonly occurs in western Japan owing to its higher incidence in warmer climates, suggesting the origin of the case. Here, we report a human case of Thelaziasis diagnosed in a cold region of Japan (the Hokuriku area) during winter. This human case of T. callipaeda infection from a cold, previously unassociated region, raises concerns about the potential geographical widening of its distribution, and further investigation may be warranted to prevent its spread.
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Affiliation(s)
- Tianxiang Huang
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
- Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
| | - Takenori Inomata
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
- Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
- Juntendo University Graduate School of Medicine, Department of Hospital Administration, Tokyo, Japan
- Juntendo University Graduate School of Medicine, Department of Telemedicine and Mobile Health, Tokyo, Japan
- Juntendo University Graduate School of Medicine, AI Incubation Farm, Tokyo, Japan
| | - Jaemyoung Sung
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
| | - Naoko Yoshida
- Juntendo University School of Medicine, Department of Tropical Medicine and Parasitology, Tokyo, Japan
| | - Gaku Ishida
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
- Ishida Eye Clinic, Niigata, Japan
| | | | - Masahiro Yamaguchi
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
| | - Yasutsugu Akasaki
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
- Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
- Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
- Juntendo University Graduate School of Medicine, Department of Telemedicine and Mobile Health, Tokyo, Japan
| | - Ken Nagino
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
- Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
- Juntendo University Graduate School of Medicine, Department of Hospital Administration, Tokyo, Japan
- Juntendo University Graduate School of Medicine, Department of Telemedicine and Mobile Health, Tokyo, Japan
| | - Kunihiko Hirosawa
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
- Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
| | - Toshihiro Mita
- Juntendo University School of Medicine, Department of Tropical Medicine and Parasitology, Tokyo, Japan
| | - Shintaro Nakao
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
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Hirosawa K, Inomata T, Sung J, Morooka Y, Huang T, Akasaki Y, Okumura Y, Nagino K, Omori K, Nakao S. Unilateral branch retinal artery occlusion in association with COVID-19: a case report. Int J Ophthalmol 2024; 17:777-782. [PMID: 38638251 PMCID: PMC10988083 DOI: 10.18240/ijo.2024.04.25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 01/12/2024] [Indexed: 04/20/2024] Open
Affiliation(s)
- Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Telemedicine and Mobile Health, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- AI Incubation Farm, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Ophthalmology, Tulane University School of Medicine, New Orleans, LA 70112, USA
| | - Yuki Morooka
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Telemedicine and Mobile Health, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Ken Nagino
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Telemedicine and Mobile Health, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Kaho Omori
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Shintaro Nakao
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
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3
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Akasaki Y, Iwagami M, Sung J, Nagino K, Adachi T, Morita H, Tamari M, Kainuma K, Kan-O K, Ogata H, Sakashita M, Futamura M, Kurashima Y, Nakajima S, Masaki K, Ogawa Y, Sato S, Miyagawa A, Midorikawa-Inomata A, Fujimoto K, Okumura Y, Fujio K, Huang T, Hirosawa K, Morooka Y, Nakao S, Murakami A, Kobayashi H, Inomata T. Impact of COVID-19 on care-seeking patterns for hay fever in Japan: A retrospective claims database cohort study. Allergy 2024; 79:1056-1060. [PMID: 37966466 DOI: 10.1111/all.15947] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/02/2023] [Accepted: 11/05/2023] [Indexed: 11/16/2023]
Affiliation(s)
- Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- ENGAGE-Task Force, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, Institute of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ken Nagino
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Telemedicine and Mobile Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takeya Adachi
- ENGAGE-Task Force, Tokyo, Japan
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
- Department of Medical Regulatory Science, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Hideaki Morita
- ENGAGE-Task Force, Tokyo, Japan
- Department of Allergy and Clinical Immunology, National Research Institute for Child Health and Development, Tokyo, Japan
- Allergy Center, National Center for Child Health and Development, Tokyo, Japan
| | - Mayumi Tamari
- ENGAGE-Task Force, Tokyo, Japan
- Division of Molecular Genetics, Research Center for Medical Science, The Jikei University School of Medicine, Tokyo, Japan
| | - Keigo Kainuma
- ENGAGE-Task Force, Tokyo, Japan
- Institute for Clinical Research, National Hospital Organization, Mie National Hospital, Mie, Japan
| | - Keiko Kan-O
- ENGAGE-Task Force, Tokyo, Japan
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroaki Ogata
- ENGAGE-Task Force, Tokyo, Japan
- Department of Respiratory Medicine, NHO Fukuoka National Hospital, Fukuoka, Japan
| | - Masafumi Sakashita
- ENGAGE-Task Force, Tokyo, Japan
- Division of Otorhinolaryngology Head and Neck Surgery, Department of Sensory and Locomotor Medicine, University of Fukui, Fukui, Japan
| | - Masaki Futamura
- ENGAGE-Task Force, Tokyo, Japan
- Department of Pediatrics, National Hospital Organization Nagoya Medical Center, Aichi, Japan
| | - Yosuke Kurashima
- ENGAGE-Task Force, Tokyo, Japan
- Department of Innovative Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
- Institute for Advanced Academic Research, Chiba University, Chiba, Japan
- International Research and Development Center for Mucosal Vaccines, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Pathology/Medicine, Allergy and Vaccines, CU-UCSD Center for Mucosal Immunology, University of California, San Diego, California, USA
- Mucosal Immunology and Allergy Therapeutics, Institute for Global Prominent Research, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Saeko Nakajima
- ENGAGE-Task Force, Tokyo, Japan
- Department of Drug Discovery for Inflammatory Skin Diseases, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Katsunori Masaki
- ENGAGE-Task Force, Tokyo, Japan
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yasushi Ogawa
- ENGAGE-Task Force, Tokyo, Japan
- Department of Advanced Medicine, Nagoya University Hospital, Aichi, Japan
| | - Sakura Sato
- ENGAGE-Task Force, Tokyo, Japan
- Department of Allergy, Clinical Research Center for Allergy and Rheumatology, NHO Sagamihara National Hospital, Kanagawa, Japan
| | - Akihiro Miyagawa
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Telemedicine and Mobile Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Telemedicine and Mobile Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuki Morooka
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shintaro Nakao
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hiroyuki Kobayashi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- ENGAGE-Task Force, Tokyo, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Telemedicine and Mobile Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
- AI Incubation Farm, Juntendo University Graduate School of Medicine, Tokyo, Japan
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4
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Zou X, Nagino K, Okumura Y, Midorikawa-Inomata A, Eguchi A, Yee A, Fujimoto K, Miura M, Sung J, Huang T, Fujio K, Akasaki Y, Nakao S, Kobayashi H, Inomata T. Optimal cutoff value of the dry eye-related quality-of-life score for diagnosing dry eye disease. Sci Rep 2024; 14:4623. [PMID: 38409465 PMCID: PMC10897401 DOI: 10.1038/s41598-024-55358-1] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 02/22/2024] [Indexed: 02/28/2024] Open
Abstract
This retrospective study aimed to determine the optimal cutoff values of the Dry Eye-Related Quality-of-Life Score (DEQS) questionnaire for diagnosing dry eye disease (DED) and classifying DED severities. Participants completed the DEQS questionnaire, the Japanese version of the Ocular Surface Disease Index (J-OSDI) questionnaire, and DED examinations. DED was diagnosed according to the 2016 Asia Dry Eye Society diagnostic criteria based on DED symptoms (J-OSDI ≥ 13 points) and tear film breakup time ≤ 5 s. Receiver operating characteristic (ROC) analysis was used to calculate the optimal cutoff values of the DEQS summary score for detecting DED and grading its severity. Among 427 patients, 296 (69.3%) and 131 (30.7%) were diagnosed with DED and non-DED, respectively. ROC analysis determined an optimal cutoff value of 15.0 points for DED diagnosis, with 83.5% sensitivity, 87.0% specificity, and an area under the curve of 0.915. The positive and negative predictive values for DEQS ≥ 15.0 points were 93.6% and 69.9%, respectively. DEQS cutoff values of 15.0, 20.0, and 26.8 points could be accepted for severity classification of DED subjective symptoms in clinical use and represent mild, moderate, and severe DED, respectively. Conclusively, the optimal cutoff values of DEQS enable DED detection and subjective symptom severity classification.
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Affiliation(s)
- Xinrong Zou
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Ophthalmology, Fengcheng Hospital, Fengxian District, Shanghai, China
| | - Ken Nagino
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Alan Yee
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shintaro Nakao
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Hiroyuki Kobayashi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
- AI Incubation Farm, Juntendo University Graduate School of Medicine, Tokyo, Japan.
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Nagino K, Sung J, Midorikawa-Inomata A, Eguchi A, Fujimoto K, Okumura Y, Miura M, Yee A, Hurramhon S, Fujio K, Akasaki Y, Hirosawa K, Huang T, Ohno M, Morooka Y, Zou X, Kobayashi H, Inomata T. Clinical Utility of Smartphone Applications in Ophthalmology: A Systematic Review. Ophthalmol Sci 2024; 4:100342. [PMID: 37869018 PMCID: PMC10587618 DOI: 10.1016/j.xops.2023.100342] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 05/17/2023] [Accepted: 05/23/2023] [Indexed: 10/24/2023]
Abstract
Topic Numerous smartphone applications have been devised for diagnosis, treatment, and symptom management in ophthalmology. Despite the importance of systematic evaluation of the purpose, target disease, effectiveness, and utility of smartphone applications to their effective utilization, few studies have formally evaluated their validity, reliability, and clinical utility. Clinical Relevance This report identifies smartphone applications with potential for clinical implementation in ophthalmology and summarizes the evidence on their practical utility. Methods We searched PubMed and EMBASE on July 28, 2022, for articles reporting original data on the effectiveness of treatment, disease detection, diagnostic accuracy, disease monitoring, and usability of smartphone applications in ophthalmology published between January 1, 1987, and July 25, 2022. Their quality was assessed using the Joanna Briggs Institute Critical Appraisal Checklist. Results The initial search yielded 510 articles. After removing 115 duplicates and 285 articles based on inclusion and exclusion criteria, the full texts of the remaining 110 articles were reviewed. Furthermore, 71 articles were included in the final qualitative synthesis. All studies were determined to be of high (87.3%) or moderate (12.7%) quality. In terms of respective application of interest, 24 (33.8%) studies assessed diagnostic accuracy, 17 (23.9%) assessed disease detection, and 3 (4.2%) assessed intervention efficacy. A total of 48 smartphone applications were identified, of which 27 (56.3%) were publicly available. Seventeen (35.4%) applications included functions for ophthalmic examinations, 13 (27.1%) included functions aimed at disease detection, 10 (20.8%) included functions to support medical personnel, five (10.4%) included functions related to disease education, and three (6.3%) included functions to promote treatment adherence for patients. The largest number of applications targeted amblyopia (18.8%), followed by retinal disease (10.4%). Two (4.2%) smartphone applications reported significant efficacy in treating diseases. Conclusion In this systematic review, a comprehensive appraisal is presented on studies related to diagnostic accuracy, disease detectability, and efficacy of smartphone applications in ophthalmology. Forty-eight applications with potential clinical utility are identified. Appropriate smartphone applications are expected to enable early detection of undiagnosed diseases via telemedicine and prevent visual dysfunction via remote monitoring of chronic diseases. Financial Disclosures Proprietary or commercial disclosure may be found after the references.
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Affiliation(s)
- Ken Nagino
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Alan Yee
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shokirova Hurramhon
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Ohno
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuki Morooka
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Xinrong Zou
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Ophthalmology, Fengcheng Hospital, Shanghai, China
| | - Hiroyuki Kobayashi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- AI Incubation Farm, Juntendo University Graduate School of Medicine, Tokyo, Japan
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6
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Okumura Y, Inomata T, Fujimoto K, Fujio K, Zhu J, Yanagawa A, Shokirova H, Saita Y, Kobayashi Y, Nagao M, Nishio H, Sung J, Midorikawa-Inomata A, Eguchi A, Nagino K, Akasaki Y, Hirosawa K, Huang T, Kuwahara M, Murakami A. Biological effects of stored platelet-rich plasma eye-drops in corneal wound healing. Br J Ophthalmol 2023; 108:37-44. [PMID: 36162968 DOI: 10.1136/bjo-2022-322068] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 09/08/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND/AIMS This study aimed to assess the efficacy and sterility of stored platelet-rich plasma (PRP) eye-drops for corneal epithelial wound healing compared with those of autologous serum (AS) eye-drops. METHODS At our single institution, PRP and AS eye-drops were prepared using peripheral blood obtained from six healthy volunteers and stored at 4°C. Platelet and leucocyte counts and transforming growth factor (TGF)-β1, epidermal growth factor (EGF), and fibronectin levels were assessed during storage for up to 4 weeks. Sterility was assessed by culturing 4-week poststorage samples. PRP, AS, and phosphate-buffered saline (PBS) eye-drop efficacies were compared using corneal epithelial wound healing assays in vitro and in vivo and monitoring wound areas under a microscope every 3 hours. RESULTS Higher platelet and lower leucocyte counts were seen in PRP than in whole blood on the day of preparation. After storage, TGF-β1, EGF, and fibronectin levels were significantly higher in PRP than in AS eye-drops. In vitro and in vivo, PRP eye-drops used on the day of preparation significantly promoted corneal epithelial wound healing compared with PBS. Moreover, PRP eye-drops stored for 4 weeks significantly promoted corneal wound healing compared with PBS and AS eye-drops. CONCLUSION PRP eye-drops stored at 4°C for 4 weeks promoted corneal epithelial wound healing with higher levels of growth factors than those observed in AS eye-drops, while maintaining sterility, suggesting that this preparation satisfies the unmet medical needs in the treatment of refractory keratoconjunctival epithelial disorders.
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Affiliation(s)
- Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- AI Incubation Farm, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Jun Zhu
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Ai Yanagawa
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Hurramhon Shokirova
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Yoshitomo Saita
- Department of Sports and Regenerative Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Orthopedics, Juntendo University Faculty of Medicine, Bunkyo-ku, Japan
| | - Yohei Kobayashi
- Department of Sports and Regenerative Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Orthopedics, Juntendo University Faculty of Medicine, Bunkyo-ku, Japan
| | - Masahi Nagao
- Department of Sports and Regenerative Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Orthopedics, Juntendo University Faculty of Medicine, Bunkyo-ku, Japan
- Department of Medical Technology Innovation Center, Juntendo University, Bunkyo-ku, Japan
| | - Hirofumi Nishio
- Department of Sports and Regenerative Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Orthopedics, Juntendo University Faculty of Medicine, Bunkyo-ku, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- University of South Florida College of Medicine, Tampa, Florida, USA
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Ken Nagino
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Mizu Kuwahara
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
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Nagino K, Inomata T, Nakamura M, Sung J, Midorikawa-Inomata A, Iwagami M, Fujio K, Akasaki Y, Okumura Y, Huang T, Fujimoto K, Eguchi A, Miura M, Hurramhon S, Zhu J, Ohno M, Hirosawa K, Morooka Y, Dana R, Murakami A, Kobayashi H. Symptom-based stratification algorithm for heterogeneous symptoms of dry eye disease: a feasibility study. Eye (Lond) 2023; 37:3484-3491. [PMID: 37061620 PMCID: PMC10630441 DOI: 10.1038/s41433-023-02538-4] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 03/31/2023] [Accepted: 04/06/2023] [Indexed: 04/17/2023] Open
Abstract
BACKGROUND/OBJECTIVE To test the feasibility of a dry eye disease (DED) symptom stratification algorithm previously established for the general population among patients visiting ophthalmologists. SUBJECT/METHODS This retrospective cross-sectional study was conducted between December 2015 and October 2021 at a university hospital in Japan; participants who underwent a comprehensive DED examination and completed the Japanese version of the Ocular Surface Disease Index (J-OSDI) were included. Patients diagnosed with DED were stratified into seven clusters using a previously established symptom-based stratification algorithm for DED. Characteristics of the patients in stratified clusters were compared. RESULTS In total, 426 participants were included (median age [interquartile range]; 63 [48-72] years; 357 (83.8%) women). Among them, 291 (68.3%) participants were diagnosed with DED and successfully stratified into seven clusters. The J-OSDI total score was highest in cluster 1 (61.4 [52.2-75.0]), followed by cluster 5 (44.1 [38.8-47.9]). The tear film breakup time was the shortest in cluster 1 (1.5 [1.1-2.1]), followed by cluster 3 (1.6 [1.0-2.5]). The J-OSDI total scores from the stratified clusters in this study and those from the clusters identified in the previous study showed a significant correlation (r = 0.991, P < 0.001). CONCLUSIONS The patients with DED who visited ophthalmologists were successfully stratified by the previously established algorithm for the general population, uncovering patterns for their seemingly heterogeneous and variable clinical characteristics of DED. The results have important implications for promoting treatment interventions tailored to individual patients and implementing smartphone-based clinical data collection in the future.
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Affiliation(s)
- Ken Nagino
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
- Juntendo University Graduate School of Medicine, AI Incubation Farm, Tokyo, Japan.
| | - Masahiro Nakamura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Precision Health, Department of Engineering, Graduate School of Bioengineering, The University of Tokyo, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- University of South Florida, Morsani College of Medicine, Tampa, FL, USA
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shokirova Hurramhon
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jun Zhu
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Ohno
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuki Morooka
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Reza Dana
- Massachusetts Eye and Ear Infirmary, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hiroyuki Kobayashi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
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8
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Inomata T, Sung J, Nakamura M, Iwagami M, Akasaki Y, Fujio K, Nakamura M, Ebihara N, Ide T, Nagao M, Okumura Y, Nagino K, Fujimoto K, Eguchi A, Hirosawa K, Midorikawa-Inomata A, Muto K, Fujisawa K, Kikuchi Y, Nojiri S, Murakami A. Using the AllerSearch Smartphone App to Assess the Association Between Dry Eye and Hay Fever: mHealth-Based Cross-Sectional Study. J Med Internet Res 2023; 25:e38481. [PMID: 37698897 PMCID: PMC10523221 DOI: 10.2196/38481] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 09/21/2022] [Accepted: 08/17/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Dry eye (DE) and hay fever (HF) show synergistic exacerbation of each other's pathology through inflammatory pathways. OBJECTIVE This study aimed to investigate the association between DE and HF comorbidity and the related risk factors. METHODS A cross-sectional observational study was conducted using crowdsourced multidimensional data from individuals who downloaded the AllerSearch smartphone app in Japan between February 2018 and May 2020. AllerSearch collected the demographics, medical history, lifestyle and residential information, HF status, DE symptoms, and HF-related quality of life. HF symptoms were evaluated using the nasal symptom score (0-15 points) and nonnasal symptom score (0-12 points). HF was defined by the participants' responses to the questionnaire as HF, non-HF, or unknown. Symptomatic DE was defined as an Ocular Surface Disease Index total score (0-100 points), with a threshold score of 13 points. HF-related quality of life was assessed using the Japanese Allergic Conjunctival Disease Standard Quality of Life Questionnaire (0-68 points). We conducted a multivariable linear regression analysis to examine the association between the severity of DE and HF symptoms. We subsequently conducted a multivariable logistic regression analysis to identify the factors associated with symptomatic DE (vs nonsymptomatic DE) among individuals with HF. Dimension reduction via Uniform Manifold Approximation and Projection stratified the comorbid DE and HF symptoms. The symptom profiles in each cluster were identified using hierarchical heat maps. RESULTS This study included 11,284 participants, classified into experiencing HF (9041 participants), non-HF (720 participants), and unknown (1523 participants) groups. The prevalence of symptomatic DE among individuals with HF was 49.99% (4429/9041). Severe DE symptoms were significantly associated with severe HF symptoms: coefficient 1.33 (95% CI 1.10-1.57; P<.001) for mild DE, coefficient 2.16 (95% CI 1.84-2.48; P<.001) for moderate DE, and coefficient 3.80 (95% CI 3.50-4.11; P<.001) for severe DE. The risk factors for comorbid symptomatic DE among individuals with HF were identified as female sex; lower BMI; medicated hypertension; history of hematologic, collagen, heart, liver, respiratory, or atopic disease; tomato allergy; current and previous mental illness; pet ownership; living room and bedrooms furnished with materials other than hardwood, carpet, tatami, and vinyl; discontinuation of contact lens use during the HF season; current contact lens use; smoking habits; and sleep duration of <6 hours per day. Uniform Manifold Approximation and Projection stratified the heterogeneous comorbid DE and HF symptoms into 14 clusters. In the hierarchical heat map, cluster 9 was comorbid with the most severe HF and DE symptoms, and cluster 1 showed severe HF symptoms with minimal DE-related symptoms. CONCLUSIONS This crowdsourced study suggested a significant association between severe DE and HF symptoms. Detecting DE among individuals with HF could allow effective prevention and interventions through concurrent treatment for ocular surface management along with HF treatment.
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Affiliation(s)
- Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Masahiro Nakamura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Bioengineering, Graduate School of Bioengineering, Precision Health, The University of Tokyo, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Masahiro Nakamura
- Department of Otorhinolaryngology, Head and Neck Surgery, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Nobuyuki Ebihara
- Department of Ophthalmology, Urayasu Hospital, Juntendo University, Chiba, Japan
| | - Takuma Ide
- Department of Otorhinolaryngology, Head and Neck Surgery, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Masashi Nagao
- Medical Technology Innovation Center, Juntendo University, Tokyo, Japan
- Department of Orthopedic Surgery, Juntendo University Faculty of Medicine, Tokyo, Japan
- Graduate School of Health and Sports Science, Juntendo University, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ken Nagino
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kaori Muto
- Department of Public Policy, The Institute of Medical Science, Human Genome Center, The University of Tokyo, Tokyo, Japan
| | - Kumiko Fujisawa
- Department of Public Policy, The Institute of Medical Science, Human Genome Center, The University of Tokyo, Tokyo, Japan
| | - Yota Kikuchi
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shuko Nojiri
- Medical Technology Innovation Center, Juntendo University, Tokyo, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
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9
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Fujio K, Nagino K, Huang T, Sung J, Akasaki Y, Okumura Y, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Miura M, Hurramhon S, Yee A, Hirosawa K, Ohno M, Morooka Y, Murakami A, Kobayashi H, Inomata T. Clinical utility of maximum blink interval measured by smartphone application DryEyeRhythm to support dry eye disease diagnosis. Sci Rep 2023; 13:13583. [PMID: 37604900 PMCID: PMC10442434 DOI: 10.1038/s41598-023-40968-y] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 08/19/2023] [Indexed: 08/23/2023] Open
Abstract
The coronavirus disease (COVID-19) pandemic has emphasized the paucity of non-contact and non-invasive methods for the objective evaluation of dry eye disease (DED). However, robust evidence to support the implementation of mHealth- and app-based biometrics for clinical use is lacking. This study aimed to evaluate the reliability and validity of app-based maximum blink interval (MBI) measurements using DryEyeRhythm and equivalent traditional techniques in providing an accessible and convenient diagnosis. In this single-center, prospective, cross-sectional, observational study, 83 participants, including 57 with DED, had measurements recorded including slit-lamp-based, app-based, and visually confirmed MBI. Internal consistency and reliability were assessed using Cronbach's alpha and intraclass correlation coefficients. Discriminant and concurrent validity were assessed by comparing the MBIs from the DED and non-DED groups and Pearson's tests for each platform pair. Bland-Altman analysis was performed to assess the agreement between platforms. App-based MBI showed good Cronbach's alpha coefficient, intraclass correlation coefficient, and Pearson correlation coefficient values, compared with visually confirmed MBI. The DED group had significantly shorter app-based MBIs, compared with the non-DED group. Bland-Altman analysis revealed minimal biases between the app-based and visually confirmed MBIs. Our findings indicate that DryEyeRhythm is a reliable and valid tool that can be used for non-invasive and non-contact collection of MBI measurements, which can assist in accessible DED detection and management.
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Affiliation(s)
- Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ken Nagino
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shokirova Hurramhon
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Alan Yee
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Ohno
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuki Morooka
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hiroyuki Kobayashi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.
- AI Incubation Farm, Juntendo University Graduate School of Medicine, Tokyo, Japan.
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10
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Nagino K, Okumura Y, Akasaki Y, Fujio K, Huang T, Sung J, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Hurramhon S, Yee A, Miura M, Ohno M, Hirosawa K, Morooka Y, Murakami A, Kobayashi H, Inomata T. Smartphone App-Based and Paper-Based Patient-Reported Outcomes Using a Disease-Specific Questionnaire for Dry Eye Disease: Randomized Crossover Equivalence Study. J Med Internet Res 2023; 25:e42638. [PMID: 37535409 PMCID: PMC10436120 DOI: 10.2196/42638] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 03/22/2023] [Accepted: 07/12/2023] [Indexed: 08/04/2023] Open
Abstract
BACKGROUND Using traditional patient-reported outcomes (PROs), such as paper-based questionnaires, is cumbersome in the era of web-based medical consultation and telemedicine. Electronic PROs may reduce the burden on patients if implemented widely. Considering promising reports of DryEyeRhythm, our in-house mHealth smartphone app for investigating dry eye disease (DED) and the electronic and paper-based Ocular Surface Disease Index (OSDI) should be evaluated and compared to determine their equivalency. OBJECTIVE The purpose of this study is to assess the equivalence between smartphone app-based and paper-based questionnaires for DED. METHODS This prospective, nonblinded, randomized crossover study enrolled 34 participants between April 2022 and June 2022 at a university hospital in Japan. The participants were allocated randomly into 2 groups in a 1:1 ratio. The paper-app group initially responded to the paper-based Japanese version of the OSDI (J-OSDI), followed by the app-based J-OSDI. The app-paper group responded to similar questionnaires but in reverse order. We performed an equivalence test based on minimal clinically important differences to assess the equivalence of the J-OSDI total scores between the 2 platforms (paper-based vs app-based). A 95% CI of the mean difference between the J-OSDI total scores within the ±7.0 range between the 2 platforms indicated equivalence. The internal consistency and agreement of the app-based J-OSDI were assessed with Cronbach α coefficients and intraclass correlation coefficient values. RESULTS A total of 33 participants were included in this study. The total scores for the app- and paper-based J-OSDI indicated satisfactory equivalence per our study definition (mean difference 1.8, 95% CI -1.4 to 5.0). Moreover, the app-based J-OSDI total score demonstrated good internal consistency and agreement (Cronbach α=.958; intraclass correlation=0.919; 95% CI 0.842 to 0.959) and was significantly correlated with its paper-based counterpart (Pearson correlation=0.932, P<.001). CONCLUSIONS This study demonstrated the equivalence of PROs between the app- and paper-based J-OSDI. Implementing the app-based J-OSDI in various scenarios, including telehealth, may have implications for the early diagnosis of DED and longitudinal monitoring of PROs.
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Affiliation(s)
- Ken Nagino
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- AI Incubation Farm, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shokirova Hurramhon
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Alan Yee
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Ohno
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuki Morooka
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hiroyuki Kobayashi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- AI Incubation Farm, Juntendo University Graduate School of Medicine, Tokyo, Japan
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11
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Nagino K, Sung J, Midorikawa-Inomata A, Eguchi A, Fujimoto K, Okumura Y, Yee A, Fujio K, Akasaki Y, Huang T, Miura M, Hurramhon S, Hirosawa K, Ohno M, Morooka Y, Kobayashi H, Inomata T. The minimal clinically important difference of app-based electronic patient-reported outcomes for hay fever. Clin Transl Allergy 2023; 13:e12244. [PMID: 37227421 DOI: 10.1002/clt2.12244] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 03/06/2023] [Accepted: 04/03/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND Hay fever is a common allergic disease, with an estimated worldwide prevalence of 14.4% and a variety of symptoms. This study assessed the minimal clinically important difference (MCID) of nasal symptom score (NSS), non-nasal symptom score (NNSS), and total symptoms score (TSS) for app-based hay-fever monitoring. METHODS MCIDs were calculated based on the data from a previous large-scale, crowdsourced, cross-sectional study using AllerSearch, an in-house smartphone application. MCIDs were determined with anchor-based and distribution-based methods. The face scale score of the Japanese Allergic Conjunctival Disease Standard Quality of Life Questionnaire Domain III and the daily stress level due to hay fever were used as anchors for determining MCIDs. The MCID estimates were summarized as MCID ranges. RESULTS A total of 7590 participants were included in the analysis (mean age: 35.3 years, 57.1% women). The anchor-based method produced a range of MCID values (median, interquartile range) for NSS (2.0, 1.5-2.1), NNSS (1.0, 0.9-1.2), and TSS (2.9, 2.4-3.3). The distribution-based method produced two MCIDs (based on half a standard deviation, based on a standard error of measurement) for NSS (2.0, 1.8), NNSS (1.3, 1.2), and TSS (3.0, 2.3). The final suggested MCID ranges for NSS, NNSS, and TSS were 1.8-2.1, 1.2-1.3, and 2.4-3.3, respectively. CONCLUSIONS MCID ranges for app-based hay-fever symptom assessment were obtained from the data collected through a smartphone application, AllerSearch. These estimates may be useful for monitoring the subjective symptoms of Japanese patients with hay fever through mobile platforms.
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Affiliation(s)
- Ken Nagino
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- University of South Florida, Morsani College of Medicine, Tampa, Florida, USA
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Alan Yee
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shokirova Hurramhon
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Ohno
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuki Morooka
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hiroyuki Kobayashi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Juntendo University Graduate School of Medicine, AI Incubation Farm, Tokyo, Japan
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12
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Nagino K, Okumura Y, Yamaguchi M, Sung J, Nagao M, Fujio K, Akasaki Y, Huang T, Hirosawa K, Iwagami M, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Okajima Y, Kakisu K, Tei Y, Yamaguchi T, Tomida D, Fukui M, Yagi-Yaguchi Y, Hori Y, Shimazaki J, Nojiri S, Morooka Y, Yee A, Miura M, Ohno M, Inomata T. Diagnostic Ability of a Smartphone App for Dry Eye Disease: Protocol for a Multicenter, Open-Label, Prospective, and Cross-sectional Study. JMIR Res Protoc 2023; 12:e45218. [PMID: 36912872 PMCID: PMC10131757 DOI: 10.2196/45218] [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] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/31/2023] [Accepted: 01/31/2023] [Indexed: 03/14/2023] Open
Abstract
BACKGROUND Dry eye disease (DED) is one of the most common ocular surface diseases. Numerous patients with DED remain undiagnosed and inadequately treated, experiencing various subjective symptoms and a decrease in quality of life and work productivity. A mobile health smartphone app, namely, the DEA01, has been developed as a noninvasive, noncontact, and remote screening device, in the context of an ongoing paradigm shift in the health care system, to facilitate a diagnosis of DED. OBJECTIVE This study aimed to evaluate the capabilities of the DEA01 smartphone app to facilitate a DED diagnosis. METHODS In this multicenter, open-label, prospective, and cross-sectional study, the test method will involve using the DEA01 smartphone app to collect and evaluate DED symptoms, based on the Japanese version of the Ocular Surface Disease Index (J-OSDI), and to measure the maximum blink interval (MBI). The standard method will then involve a paper-based J-OSDI evaluation of subjective symptoms of DED and tear film breakup time (TFBUT) measurement in an in-person encounter. We will allocate 220 patients to DED and non-DED groups, based on the standard method. The primary outcome will be the sensitivity and specificity of the DED diagnosis according to the test method. Secondary outcomes will be the validity and reliability of the test method. The concordance rate, positive and negative predictive values, and the likelihood ratio between the test and standard methods will be assessed. The area under the curve of the test method will be evaluated using a receiver operating characteristic curve. The internal consistency of the app-based J-OSDI and the correlation between the app-based J-OSDI and paper-based J-OSDI will be assessed. A DED diagnosis cutoff value for the app-based MBI will be determined using a receiver operating characteristic curve. The app-based MBI will be assessed to determine a correlation between a slit lamp-based MBI and TFBUT. Adverse events and DEA01 failure data will be collected. Operability and usability will be assessed using a 5-point Likert scale questionnaire. RESULTS Patient enrollment will start in February 2023 and end in July 2023. The findings will be analyzed in August 2023, and the results will be reported from March 2024 onward. CONCLUSIONS This study may have implications in identifying a noninvasive, noncontact route to facilitate a diagnosis of DED. The DEA01 may enable a comprehensive diagnostic evaluation within a telemedicine setting and facilitate early intervention for undiagnosed patients with DED confronting health care access barriers. TRIAL REGISTRATION Japan Registry of Clinical Trials jRCTs032220524; https://jrct.niph.go.jp/latest-detail/jRCTs032220524. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/45218.
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Affiliation(s)
- Ken Nagino
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Masahiro Yamaguchi
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Morsani College of Medicine, University of South Florida, Tampa, FL, United States
| | - Masashi Nagao
- Department of Orthopedics, Juntendo University Faculty of Medicine, Tokyo, Japan.,Medical Technology Innovation Center, Juntendo University, Tokyo, Japan.,Graduate School of Health and Sports Science, Juntendo University, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yukinobu Okajima
- Department of Ophthalmology, Toho University Omori Medical Center, Tokyo, Japan
| | - Koji Kakisu
- Department of Ophthalmology, Toho University Omori Medical Center, Tokyo, Japan
| | - Yuto Tei
- Department of Ophthalmology, Toho University Omori Medical Center, Tokyo, Japan
| | - Takefumi Yamaguchi
- Department of Ophthalmology, Tokyo Dental College Ichikawa General Hospital, Chiba, Japan
| | - Daisuke Tomida
- Department of Ophthalmology, Tokyo Dental College Ichikawa General Hospital, Chiba, Japan
| | - Masaki Fukui
- Department of Ophthalmology, Tokyo Dental College Ichikawa General Hospital, Chiba, Japan
| | - Yukari Yagi-Yaguchi
- Department of Ophthalmology, Tokyo Dental College Ichikawa General Hospital, Chiba, Japan
| | - Yuichi Hori
- Department of Ophthalmology, Toho University Omori Medical Center, Tokyo, Japan
| | - Jun Shimazaki
- Department of Ophthalmology, Tokyo Dental College Ichikawa General Hospital, Chiba, Japan
| | - Shuko Nojiri
- Medical Technology Innovation Center, Juntendo University, Tokyo, Japan
| | - Yuki Morooka
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Alan Yee
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Ohno
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,AI Incubation Farm, Juntendo University Graduate School of Medicine, Tokyo, Japan
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13
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Inomata T, Sung J, Fujio K, Nakamura M, Akasaki Y, Nagino K, Okumura Y, Iwagami M, Fujimoto K, Ebihara N, Nakamura M, Midorikawa-Inomata A, Shokirova H, Huang T, Hirosawa K, Miura M, Ohno M, Morooka Y, Iwata N, Iwasaki Y, Murakami A. Individual multidisciplinary clinical phenotypes of nasal and ocular symptoms in hay fever: Crowdsourced cross-sectional study using AllerSearch. Allergol Int 2023:S1323-8930(23)00001-1. [PMID: 36740498 DOI: 10.1016/j.alit.2023.01.001] [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] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 10/08/2022] [Accepted: 12/15/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Multidisciplinary efforts to prospectively collect and analyze symptoms of hay fever are limited. We aimed to identify the characteristics of nasal and ocular symptoms of hay fever, using the AllerSearch smartphone application. METHODS This mobile health-based prospective observational study using the AllerSearch smartphone application was conducted between February 1, 2018, and May 1, 2020. Individuals who downloaded AllerSearch from Japan and provided comprehensive self-assessments (including 17 items related to quality of life [QoL]-related items) were included. The characteristics and risk factors for allergic rhinitis (AR) and allergic conjunctivitis (AC) were identified using hierarchical heat maps and multivariate logistic regression. RESULTS Of the 9041 participants with hay fever, 58.8% had AR and AC, 22.2% had AR, and 5.7% had AC. The AR-AC comorbid cohort showed worse symptoms of hay fever and QoL scores than the other cohorts. Factors (odds ratio, 95% confidence interval) associated with AR-AC included a lower age (0.98, 0.97-0.98), female sex (1.31, 1.19-1.45), liver disease (1.58, 1.26-2.35), dry eye disease (1.45, 1.30-1.63), unknown dry eye disease status (1.46, 1.31-1.62), contact lens use discontinuation during the hay fever season (1.69, 1.28-2.23), and bedroom flooring material other than hardwood, carpet, tatami, or vinyl (1.91, 1.16-3.14). CONCLUSIONS Analysis of medical big data for hay fever performed using a mobile health app helped identify risk factors and characteristics of AC, AR, and AR-AC. Phenotyping of highly variable symptoms of hay fever, such as nasal and ocular symptoms, can facilitate better-quality clinical care.
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Affiliation(s)
- Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan; AI Incubation Farm, Juntendo University Graduate School of Medicine, Tokyo, Japan.
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Masahiro Nakamura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Precision Health, Department of Bioengineering, Graduate School of Bioengineering, The University of Tokyo, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ken Nagino
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Nobuyuki Ebihara
- Department of Ophthalmology, Urayasu Hospital, Juntendo University, Chiba, Japan
| | - Masahiro Nakamura
- Department of Otorhinolaryngology and Head and Neck Surgery, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hurramhon Shokirova
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Ohno
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuki Morooka
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Nanami Iwata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuma Iwasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
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14
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Akasaki Y, Sung J, Ito M, Kobayashi H, Kuwana R, Oishi H, Murakami A. Choroidal folds associated with carotid cavernous fistula: a case report. Int J Ophthalmol 2022; 15:1881-1884. [DOI: 10.18240/ijo.2022.11.22] [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] [Received: 11/28/2021] [Accepted: 09/09/2022] [Indexed: 11/05/2022] Open
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15
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Fujio K, Inomata T, Fujisawa K, Sung J, Nakamura M, Iwagami M, Muto K, Ebihara N, Nakamura M, Okano M, Akasaki Y, Okumura Y, Ide T, Nojiri S, Nagao M, Fujimoto K, Hirosawa K, Murakami A. Patient and public involvement in mobile health-based research for hay fever: a qualitative study of patient and public involvement implementation process. Res Involv Engagem 2022; 8:45. [PMID: 36056430 PMCID: PMC9437402 DOI: 10.1186/s40900-022-00382-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 08/29/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Smartphones are being increasingly used for research owing to their multifunctionality and flexibility, and crowdsourced research using smartphone applications (apps) is effective in the early detection and management of chronic diseases. We developed the AllerSearch app to gather real-world data on individual subjective symptoms and lifestyle factors related to hay fever. This study established a foundation for interactive research by adopting novel, diverse perspectives accrued through implementing the principles of patient and public involvement (PPI) in the development of our app. METHODS Patients and members of the public with a history or family history of hay fever were recruited from November 2019 to December 2021 through a dedicated website, social networking services, and web briefing according to the PPI Guidebook 2019 by the Japan Agency for Medical Research and Development. Nine opinion exchange meetings were held from February 2020 to December 2021 to collect opinions and suggestions for updating the app. After each meeting, interactive evaluations from PPI contributors and researchers were collected. The compiled suggestions were then incorporated into the app, establishing an active feedback loop fed by the consistently interactive infrastructure. RESULTS Four PPI contributors (one man and three women) were recruited, and 93 items were added/changed in the in-app survey questionnaire in accordance with discussions from the exchange meetings. The exchange meetings emphasized an atmosphere and opportunity for participants to speak up, ensuring frequent opportunities for them to contribute to the research. In March 2020, a public website was created to display real-time outcomes of the number of participants and users' hay-fever-preventative behaviors. In August 2020, a new PPI-implemented AllerSearch app was released. CONCLUSIONS This study marks the first research on clinical smartphone apps for hay fever in Japan that implements PPI throughout its timeline from research and development to the publication of research results. Taking advantage of the distinct perspectives offered by PPI contributors, a step was taken toward actualizing a foundation for an interactive research environment. These results should promote future PPI research and foster the establishment of a social construct that enables PPI efforts in various fields.
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Affiliation(s)
- Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan.
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.
| | - Kumiko Fujisawa
- Department of Public Policy, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan
| | - Masahiro Nakamura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Kaori Muto
- Department of Public Policy, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Nobuyuki Ebihara
- Department of Ophthalmology, Urayasu Hospital, Juntendo University, Chiba, Japan
| | - Masahiro Nakamura
- Department of Otorhinolaryngology, Head and Neck Surgery, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Mitsuhiro Okano
- Department of Otorhinolaryngology, International University of Health and Welfare, Narita, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takuma Ide
- Department of Otorhinolaryngology, Head and Neck Surgery, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Shuko Nojiri
- Medical Technology Innovation Center, Juntendo University, Tokyo, Japan
| | - Masashi Nagao
- Medical Technology Innovation Center, Juntendo University, Tokyo, Japan
- Department of Orthopedic Surgery, Juntendo University Graduate School of Medicine, Tokyo, Japan
- School of Health and Sports Science, Juntendo University, Chiba, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
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16
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Akasaki Y, Inomata T, Sung J, Okumura Y, Fujio K, Miura M, Hirosawa K, Iwagami M, Nakamura M, Ebihara N, Nakamura M, Ide T, Nagino K, Murakami A. Reliability and Validity of Electronic Patient-Reported Outcomes Using the Smartphone App AllerSearch for Hay Fever: Prospective Observational Study. JMIR Form Res 2022; 6:e38475. [PMID: 35998022 PMCID: PMC9449823 DOI: 10.2196/38475] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 01/20/2023] Open
Abstract
Background Hay fever is a highly prevalent, heterogenous, and multifactorial disease. Patients may benefit from longitudinal assessments using mobile health (mHealth) principles. We have previously attempted to establish an effective mHealth platform for patients with hay fever through AllerSearch, our in-house smartphone app that assesses electronic patient-reported outcomes through a questionnaire on hay fever and provides evidence-based advice. To be used by the public, an investigation on its reliability and validity is necessary. Objective The aim of this paper is to assess the reliability and validity of subjective symptom data on hay fever collected through our app, AllerSearch. Methods This study used a prospective observational design. The participants were patients aged ≥20 years recruited from a single university hospital between June 2, 2021, and January 26, 2022. We excluded patients who could not use smartphones as well as those with incomplete data records and outlier data. All participants answered the Japanese Allergic Conjunctival Disease Standard Quality of Life Questionnaire (JACQLQ), first in the paper-and-pencil format and subsequently on AllerSearch on the same day. The JACQLQ comprises the following three domains: Domain I, with 9 items on ocular or nasal symptoms; Domain II, with 17 items on daily activity and psychological well-being; and Domain III, with 3 items on overall condition by face score. The concordance rate of each domain between the 2 platforms was calculated. The internal consistency of Domains I and II of the 2 platforms was assessed using Cronbach alpha coefficients, the concurrent validity of Domains I and II was assessed by calculating Pearson correlation coefficients, and the mean differences between the 2 platforms were assessed using Bland-Altman analysis. Results In total, 22 participants were recruited; the data of 20 (91%) participants were analyzed. The average age was 65.4 (SD 12.8) years, and 80% (16/20) of the participants were women. The concordance rate of Domains I, II, and III between the paper-based and app-based JACQLQ was 0.78, 0.85, and 0.90, respectively. The internal consistency of Domains I and II between the 2 platforms was satisfactory (Cronbach alpha of .964 and .919, respectively). Pearson correlation analysis yielded a significant positive correlation between Domains I and II across the 2 platforms (r=0.920 and r=0.968, respectively). The mean difference in Domains I and II between the 2 platforms was 3.35 units (95% limits of agreement: –6.51 to 13.2). Conclusions Our findings indicate that AllerSearch is a valid and reliable tool for the collection of electronic patient-reported outcomes to assess hay fever, contributing to the advantages of the mHealth platform.
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Affiliation(s)
- Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Masahiro Nakamura
- Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
| | - Nobuyuki Ebihara
- Department of Ophthalmology, Urayasu Hospital, Juntendo University, Chiba, Japan
| | - Masahiro Nakamura
- Department of Otorhinolaryngology, Head and Neck Surgery, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Takuma Ide
- Department of Otorhinolaryngology, Head and Neck Surgery, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Ken Nagino
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
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17
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Fujio K, Sung J, Nakatani S, Yamamoto K, Iwagami M, Fujimoto K, Shokirova H, Okumura Y, Akasaki Y, Nagino K, Midorikawa-Inomata A, Hirosawa K, Miura M, Huang T, Morooka Y, Kuwahara M, Murakami A, Inomata T. Characteristics and Clinical Ocular Manifestations in Patients with Acute Corneal Graft Rejection after Receiving the COVID-19 Vaccine: A Systematic Review. J Clin Med 2022; 11:jcm11154500. [PMID: 35956115 PMCID: PMC9369681 DOI: 10.3390/jcm11154500] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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] [Received: 06/20/2022] [Revised: 07/30/2022] [Accepted: 07/31/2022] [Indexed: 02/04/2023] Open
Abstract
This study aimed to determine the characteristics and clinical ocular manifestations of acute corneal graft rejection after coronavirus disease 2019 (COVID-19) vaccination. We conducted an online search of the PubMed and EMBASE databases. Data on recipients’ characteristics, corneal transplantation types, interval between vaccination and allograft rejection, clinical manifestations, and graft rejection medication were extracted. Thirteen articles on 21 patients (23 eyes) with acute corneal graft rejection after COVID-19 vaccination, published between April and December 2021, were included. The median (interquartile range) age at the onset of rejection was 68 (27–83) years. Types of transplantation included penetrating keratoplasty (12 eyes), Descemet membrane endothelial keratoplasty (six eyes), Descemet stripping automated endothelial keratoplasty (four eyes), and living-related conjunctival-limbal allograft (one eye). The interval between vaccination and rejection ranged from 1 day to 6 weeks. Corneal edema was the leading clinical manifestation (20 eyes), followed by keratic precipitates (14 eyes) and conjunctival or ciliary injection (14 eyes). Medications included frequently applied topical corticosteroids (12 eyes), followed by a combination of topical and oral corticosteroids (four eyes). In addition, the clinical characteristics of corneal allograft rejection after COVID-19 vaccination were identified. Corneal transplant recipients may require further vaccination, necessitating appropriate management and treatment.
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Affiliation(s)
- Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
- Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA
| | - Satoru Nakatani
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
| | - Kazuko Yamamoto
- Department of Respiratory Medicine, Nagasaki University Hospital, Nagasaki 852-8102, Japan;
| | - Masao Iwagami
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Tsukuba 305-8575, Japan;
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
| | - Hurramhon Shokirova
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
| | - Ken Nagino
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
| | - Yuki Morooka
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
| | - Mizu Kuwahara
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan; (K.F.); (J.S.); (S.N.); (K.F.); (H.S.); (Y.O.); (Y.A.); (K.H.); (M.M.); (T.H.); (Y.M.); (M.K.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan;
- AI Incubation Farm, Juntendo University Graduate School of Medicine, Tokyo 113-0033, Japan
- Correspondence: ; Tel.: +81-3-3813-3111; Fax: +81-3-3817-0260
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18
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Okumura Y, Inomata T, Midorikawa-Inomata A, Sung J, Fujio K, Akasaki Y, Nakamura M, Iwagami M, Fujimoto K, Eguchi A, Miura M, Nagino K, Hirosawa K, Huang T, Kuwahara M, Dana R, Murakami A. DryEyeRhythm: A reliable and valid smartphone application for the diagnosis assistance of dry eye. Ocul Surf 2022; 25:19-25. [PMID: 35483601 DOI: 10.1016/j.jtos.2022.04.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 04/14/2022] [Accepted: 04/19/2022] [Indexed: 12/22/2022]
Abstract
PURPOSE Undiagnosed or inadequately treated dry eye disease (DED) decreases the quality of life. We aimed to investigate the reliability, validity, and feasibility of the DryEyeRhythm smartphone application (app) for the diagnosis assistance of DED. METHODS This prospective, cross-sectional, observational, single-center study recruited 82 participants (42 with DED) aged ≥20 years (July 2020-May 2021). Patients with a history of eyelid disorder, ptosis, mental disease, Parkinson's disease, or any other disease affecting blinking were excluded. Participants underwent DED examinations, including the Japanese version of the Ocular Surface Disease Index (J-OSDI) and maximum blink interval (MBI). We analyzed their app-based J-OSDI and MBI results. Internal consistency reliability and concurrent validity were evaluated using Cronbach's alpha coefficients and Pearson's test, respectively. The discriminant validity of the app-based DED diagnosis was assessed by comparing the results of the clinical-based J-OSDI and MBI. The app feasibility and screening performance were evaluated using the precision rate and receiver operating characteristic curve analysis. RESULTS The app-based J-OSDI showed good internal consistency (Cronbach's α = 0.874). The app-based J-OSDI and MBI were positively correlated with their clinical-based counterparts (r = 0.891 and r = 0.329, respectively). Discriminant validity of the app-based J-OSDI and MBI yielded significantly higher total scores for the DED cohort (8.6 ± 9.3 vs. 28.4 ± 14.9, P < 0.001; 19.0 ± 11.1 vs. 13.2 ± 9.3, P < 0.001). The app's positive and negative predictive values were 91.3% and 69.1%, respectively. The area under the curve (95% confidence interval) was 0.910 (0.846-0.973) with concurrent use of the app-based J-OSDI and MBI. CONCLUSIONS DryEyeRhythm app is a novel, non-invasive, reliable, and valid instrument for assessing DED.
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Affiliation(s)
- Yuichi Okumura
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Masahiro Nakamura
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Keiichi Fujimoto
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ken Nagino
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Kuwahara
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Reza Dana
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Akira Murakami
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
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19
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Zhu J, Inomata T, Nakamura M, Fujimoto K, Akasaki Y, Fujio K, Yanagawa A, Uchida K, Sung J, Negishi N, Nagino K, Okumura Y, Miura M, Shokirova H, Kuwahara M, Hirosawa K, Midorikawa-Inomata A, Eguchi A, Huang T, Yagita H, Habu S, Okumura K, Murakami A. Anti-CD80/86 antibodies inhibit inflammatory reaction and improve graft survival in a high-risk murine corneal transplantation rejection model. Sci Rep 2022; 12:4853. [PMID: 35318419 PMCID: PMC8941080 DOI: 10.1038/s41598-022-08949-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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] [Received: 10/29/2021] [Accepted: 03/15/2022] [Indexed: 12/27/2022] Open
Abstract
We investigated the effects of anti-CD80/86 antibodies in a murine high-risk corneal transplantation rejection model. A mixed lymphocyte reaction (MLR) assay was conducted with anti-CD80/86 antibodies. Inflammatory cytokine levels in the culture supernatant were measured using an enzyme-linked immunosorbent assay. Interferon (IFN)-γ-producing CD4+ T cell frequencies in the MLR were assessed using flow cytometry. In vivo, high-risk corneal allograft survival and IFN-γ-producing CD4+ T cell frequencies in corneal grafts were assessed with intraperitoneal injection of anti-CD80/86 antibodies compared to phosphate-buffered saline (PBS). RNA-sequencing was performed on corneal grafts 2 weeks post-transplantation. Anti-CD80/86 antibodies significantly decreased T-cell proliferation, IFN-γ+-producing CD4+ T cell frequencies, and IFN-γ, interleukin (IL)-1β, IL-2, IL-10, and tumor necrosis factor-α production in the MLR compared to PBS injection. Intraperitoneal injection of anti-CD80/86 antibodies significantly prolonged corneal graft survival and decreased IFN-γ+-producing CD4+ T cell frequencies compared to PBS injection. Gene set enrichment analysis showed that the gene sets mainly enriched in the control group were related to allograft rejection and inflammatory response compared to PBS injection. Anti-CD80/86 antibodies significantly prolonged corneal graft survival by inhibiting T-cell proliferation and inflammatory response.
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Affiliation(s)
- Jun Zhu
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Ophthalmology, Subei People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu, China
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. .,Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo, Japan. .,Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan. .,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
| | - Masahiro Nakamura
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ai Yanagawa
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Koichiro Uchida
- Center for Immune Therapeutics and Diagnosis, Juntendo University, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Naoko Negishi
- Atopy Research Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Indoor Environment Neurophysiological Research, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ken Nagino
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hurramhon Shokirova
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Mizu Kuwahara
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hideo Yagita
- Department of Immunology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Sonoko Habu
- Atopy Research Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ko Okumura
- Center for Immune Therapeutics and Diagnosis, Juntendo University, Tokyo, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
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20
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Zhu J, Inomata T, Shih KC, Okumura Y, Fujio K, Huang T, Nagino K, Akasaki Y, Fujimoto K, Yanagawa A, Miura M, Midorikawa-Inomata A, Hirosawa K, Kuwahara M, Shokirova H, Eguchi A, Morooka Y, Chen F, Murakami A. Application of Animal Models in Interpreting Dry Eye Disease. Front Med (Lausanne) 2022; 9:830592. [PMID: 35178415 PMCID: PMC8844459 DOI: 10.3389/fmed.2022.830592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 01/11/2022] [Indexed: 11/23/2022] Open
Abstract
Different pathophysiologic mechanisms are involved in the initiation, development, and outcome of dry eye disease (DED). Animal models have proven valuable and efficient in establishing ocular surface microenvironments that mimic humans, thus enabling better understanding of the pathogenesis. Several dry eye animal models, including lacrimal secretion insufficiency, evaporation, neuronal dysfunction, and environmental stress models, are related to different etiological factors. Other models may be categorized as having a multifactorial DED. In addition, there are variations in the methodological classification, including surgical lacrimal gland removal, drug-induced models, irradiation impairment, autoimmune antibody-induced models, and transgenic animals. The aforementioned models may manifest varying degrees of severity or specific pathophysiological mechanisms that contribute to the complexity of DED. This review aimed to summarize various dry eye animal models and evaluate their respective characteristics to improve our understanding of the underlying mechanism and identify therapeutic prospects for clinical purposes.
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Affiliation(s)
- Jun Zhu
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Ophthalmology, Northern Jiangsu People's Hospital, Yangzhou, China
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kendrick Co Shih
- Department of Ophthalmology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ken Nagino
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ai Yanagawa
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Kuwahara
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hurramhon Shokirova
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuki Morooka
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Fang Chen
- Department of Ophthalmology, Northern Jiangsu People's Hospital, Yangzhou, China
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
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21
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Miura M, Inomata T, Nojiri S, Sung J, Nagao M, Shimazaki J, Midorikawa-Inomata A, Okumura Y, Fujio K, Akasaki Y, Kuwahara M, Huang T, Nakamura M, Iwagami M, Hirosawa K, Fujimoto K, Murakami A. Clinical efficacy of diquafosol sodium 3% versus hyaluronic acid 0.1% in patients with dry eye disease after cataract surgery: a protocol for a single-centre, randomised controlled trial. BMJ Open 2022; 12:e052488. [PMID: 35105626 PMCID: PMC8808423 DOI: 10.1136/bmjopen-2021-052488] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION The number of cataract surgeries, the most common ophthalmic surgery, is expected to increase due to ageing populations. Dry eye disease (DED) is a frequent side effect of cataract surgery, contributing to lower postoperative patient satisfaction and suboptimal quality of vision. It is unclear which eye-drops commonly used in these patients should be recommended for postoperative DED treatment. This study aims to compare the efficacy of topical administration of diquafosol sodium 3% vs hyaluronic acid 0.1% eye-drops in patients with DED after cataract surgery. METHODS AND ANALYSIS The study is designed as a single-blind randomised controlled trial. The participants will be randomly (1:1) allocated to either the diquafosol sodium 3% topical administration group (n=21) or the hyaluronic acid 0.1% topical administration group (n=21). Each group will receive its assigned eye-drop intervention over a 12-week period. The primary outcome will be measured using the total score of the Japanese version of the Ocular Surface Disease Index during the visit 5 weeks postoperatively. Both groups will be followed up after their respective eye-drop application for 12 weeks according to the intervention regimens. Secondary outcome measures including meibomian gland function assessment, tear film break-up time, keratoconjunctival staining score, maximum blink interval and tear secretion volume using Schirmer's test I will be assessed at 1, 5, 9, 13 and 25 weeks postoperatively. ETHICS AND DISSEMINATION This study has been approved by the Juntendo Hospital Certified Review Board, Tokyo, Japan (Approved protocol V.7.0 dated 7 May 2021. Approval number: J20-018) and has been registered with the Japan Registry of Clinical Trials. Written informed consent will be collected from every patient prior to study participation. The results of this trial will be presented at local and international meetings and submitted to peer-reviewed journals for publication. TRIAL REGISTRATION NUMBER jRCT1031210018.
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Affiliation(s)
- Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Shuko Nojiri
- Medical Technology Innovation Center, Juntendo University, Bunkyo-ku, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Masashi Nagao
- Medical Technology Innovation Center, Juntendo University, Bunkyo-ku, Tokyo, Japan
- Department of Orthopedic Surgery, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Sports Science, Juntendo University Faculty of Health and Sports Science, Chiba, Japan
| | - Jun Shimazaki
- Department of Ophthalmology, Tokyo Dental College Ichikawa General Hospital, Ichikawa, Chiba, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Mizu Kuwahara
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Masahiro Nakamura
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, University of Tsukuba, Tsukuba, Japan
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
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22
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Inomata T, Nakamura M, Iwagami M, Sung J, Nakamura M, Ebihara N, Fujisawa K, Muto K, Nojiri S, Ide T, Okano M, Okumura Y, Fujio K, Fujimoto K, Nagao M, Hirosawa K, Akasaki Y, Murakami A. Individual characteristics and associated factors of hay fever: A large-scale mHealth study using AllerSearch. Allergol Int 2022; 71:325-334. [PMID: 35105520 DOI: 10.1016/j.alit.2021.12.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/26/2021] [Accepted: 12/13/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND The prevalence of hay fever, a multifactorial allergic disease, is increasing. Identifying individual characteristics and associated factors of hay fever is essential for predictive, preventive, personalized, and participatory (P4) medicine. This study aimed to identify individual characteristics and associated factors of hay fever using an iPhone application AllerSearch. METHODS This large-scale mobile health-based cross-sectional study was conducted between February 2018 and May 2020. Individuals who downloaded AllerSearch in Japan and provided a comprehensive self-assessment (general characteristics, medical history, lifestyle habits, and hay fever symptoms [score range 0-36]) were included. Associated factors of hay fever (vs. non-hay fever) and severe hay fever symptoms were identified using multivariate logistic and linear regression analyses, respectively. RESULTS Of the included 11,284 individuals, 9041 had hay fever. Factors associated with hay fever (odds ratio) included age (0.98), female sex (1.33), atopic dermatitis (1.40), history of dry eye diagnosis (1.36), discontinuation of contact lens use during hay fever season (3.34), frequent bowel movements (1.03), and less sleep duration (0.91). The factors associated with severe hay fever symptoms among individuals with hay fever (coefficient) included age (-0.104), female sex (1.329), history of respiratory disease (1.539), history of dry eye diagnosis (0.824), tomato allergy (1.346), discontinuation of contact lens use during hay fever season (1.479), smoking habit (0.614), and having a pet (0.303). CONCLUSIONS Our large-scale mobile health-based study using AllerSearch elucidated distinct hay fever presentation patterns, characteristics, and factors associated with hay fever. Our study establishes the groundwork for effective individualized interventions for P4 medicine.
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23
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Inomata T, Nakamura M, Sung J, Midorikawa-Inomata A, Iwagami M, Fujio K, Akasaki Y, Okumura Y, Fujimoto K, Eguchi A, Miura M, Nagino K, Shokirova H, Zhu J, Kuwahara M, Hirosawa K, Dana R, Murakami A. Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study. NPJ Digit Med 2021; 4:171. [PMID: 34931013 PMCID: PMC8688467 DOI: 10.1038/s41746-021-00540-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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] [Received: 07/30/2021] [Accepted: 11/28/2021] [Indexed: 01/01/2023] Open
Abstract
Multidimensional integrative data analysis of digital phenotyping is crucial for elucidating the pathologies of multifactorial and heterogeneous diseases, such as the dry eye (DE). This crowdsourced cross-sectional study explored a novel smartphone-based digital phenotyping strategy to stratify and visualize the heterogenous DE symptoms into distinct subgroups. Multidimensional integrative data were collected from 3,593 participants between November 2016 and September 2019. Dimension reduction via Uniform Manifold Approximation and Projection stratified the collected data into seven clusters of symptomatic DE. Symptom profiles and risk factors in each cluster were identified by hierarchical heatmaps and multivariate logistic regressions. Stratified DE subgroups were visualized by chord diagrams, co-occurrence networks, and Circos plot analyses to improve interpretability. Maximum blink interval was reduced in clusters 1, 2, and 5 compared to non-symptomatic DE. Clusters 1 and 5 had severe DE symptoms. A data-driven multidimensional analysis with digital phenotyping may establish predictive, preventive, personalized, and participatory medicine.
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Affiliation(s)
- Takenori Inomata
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan. .,Juntendo University Graduate School of Medicine, Department of Strategic Operating Room Management and Improvement, Tokyo, Japan. .,Juntendo University Graduate School of Medicine, Department of Hospital Administration, Tokyo, Japan. .,Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan.
| | - Masahiro Nakamura
- Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan.,Precision Health, Department of Engineering, Graduate School of Bioengineering, The University of Tokyo, Tokyo, Japan
| | - Jaemyoung Sung
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan.,University of South Florida, Morsani College of Medicine, Tampa, FL, USA
| | - Akie Midorikawa-Inomata
- Juntendo University Graduate School of Medicine, Department of Hospital Administration, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Kenta Fujio
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan.,Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan.,Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan.,Juntendo University Graduate School of Medicine, Department of Strategic Operating Room Management and Improvement, Tokyo, Japan.,Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
| | - Atsuko Eguchi
- Juntendo University Graduate School of Medicine, Department of Hospital Administration, Tokyo, Japan
| | - Maria Miura
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan.,Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
| | - Ken Nagino
- Juntendo University Graduate School of Medicine, Department of Hospital Administration, Tokyo, Japan
| | - Hurramhon Shokirova
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
| | - Jun Zhu
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan
| | - Mizu Kuwahara
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan.,Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan.,Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
| | - Reza Dana
- Massachusetts Eye and Ear Infirmary, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Akira Murakami
- Juntendo University Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan.,Juntendo University Graduate School of Medicine, Department of Digital Medicine, Tokyo, Japan
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24
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Inomata T, Nakamura M, Iwagami M, Sung J, Nakamura M, Ebihara N, Fujisawa K, Muto K, Nojiri S, Ide T, Okano M, Okumura Y, Fujio K, Fujimoto K, Nagao M, Hirosawa K, Akasaki Y, Murakami A. Symptom-based stratification for hay fever: A crowdsourced study using the smartphone application AllerSearch. Allergy 2021; 76:3820-3824. [PMID: 34480802 DOI: 10.1111/all.15078] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/13/2021] [Accepted: 09/01/2021] [Indexed: 01/04/2023]
Affiliation(s)
- Takenori Inomata
- Department of Ophthalmology Juntendo University Graduate School of Medicine Tokyo Japan
- Department of Digital Medicine Juntendo University Graduate School of Medicine Tokyo Japan
- Department of Strategic Operating Room Management and Improvement Juntendo University Graduate School of Medicine Tokyo Japan
- Department of Hospital Administration Juntendo University Graduate School of Medicine Tokyo Japan
| | - Masahiro Nakamura
- Department of Digital Medicine Juntendo University Graduate School of Medicine Tokyo Japan
- Precision Health, Department of Bioengineering, Graduate School of Engineering The University of Tokyo Tokyo Japan
| | - Masao Iwagami
- Department of Health Services Research, Faculty of Medicine University of Tsukuba Ibaraki Japan
| | - Jaemyoung Sung
- Department of Ophthalmology Juntendo University Graduate School of Medicine Tokyo Japan
| | - Masahiro Nakamura
- Department of Otorhinolaryngology, Head and Neck Surgery Juntendo University Faculty of Medicine Tokyo Japan
| | - Nobuyuki Ebihara
- Department of Ophthalmology Juntendo University Urayasu Hospital Chiba Japan
| | - Kumiko Fujisawa
- Department of Public Policy, The Institute of Medical Science The University of Tokyo Tokyo Japan
| | - Kaori Muto
- Department of Public Policy, The Institute of Medical Science The University of Tokyo Tokyo Japan
| | - Shuko Nojiri
- Department of Medical Technology Innovation Center Juntendo University Tokyo Japan
| | - Takuma Ide
- Department of Otorhinolaryngology, Head and Neck Surgery Juntendo University Faculty of Medicine Tokyo Japan
| | - Mitsuhiro Okano
- Department of Otorhinolaryngology International University of Health and Welfare Chiba Japan
| | - Yuichi Okumura
- Department of Ophthalmology Juntendo University Graduate School of Medicine Tokyo Japan
- Department of Digital Medicine Juntendo University Graduate School of Medicine Tokyo Japan
- Department of Strategic Operating Room Management and Improvement Juntendo University Graduate School of Medicine Tokyo Japan
| | - Kenta Fujio
- Department of Ophthalmology Juntendo University Graduate School of Medicine Tokyo Japan
- Department of Digital Medicine Juntendo University Graduate School of Medicine Tokyo Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology Juntendo University Graduate School of Medicine Tokyo Japan
- Department of Digital Medicine Juntendo University Graduate School of Medicine Tokyo Japan
| | - Masashi Nagao
- Department of Medical Technology Innovation Center Juntendo University Tokyo Japan
- Department of Orthopedic Surgery Juntendo University Faculty of Medicine Tokyo Japan
- Graduate School of Health and Sports Science Juntendo University Tokyo Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology Juntendo University Graduate School of Medicine Tokyo Japan
- Department of Digital Medicine Juntendo University Graduate School of Medicine Tokyo Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology Juntendo University Graduate School of Medicine Tokyo Japan
- Department of Digital Medicine Juntendo University Graduate School of Medicine Tokyo Japan
| | - Akira Murakami
- Department of Ophthalmology Juntendo University Graduate School of Medicine Tokyo Japan
- Department of Digital Medicine Juntendo University Graduate School of Medicine Tokyo Japan
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25
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Zhu J, Inomata T, Di Zazzo A, Kitazawa K, Okumura Y, Coassin M, Surico PL, Fujio K, Yanagawa A, Miura M, Akasaki Y, Fujimoto K, Nagino K, Midorikawa-Inomata A, Hirosawa K, Kuwahara M, Huang T, Shokirova H, Eguchi A, Murakami A. Role of Immune Cell Diversity and Heterogeneity in Corneal Graft Survival: A Systematic Review and Meta-Analysis. J Clin Med 2021; 10:jcm10204667. [PMID: 34682792 PMCID: PMC8537034 DOI: 10.3390/jcm10204667] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 09/30/2021] [Accepted: 10/08/2021] [Indexed: 12/22/2022] Open
Abstract
Corneal transplantation is one of the most successful forms of solid organ transplantation; however, immune rejection is still a major cause of corneal graft failure. Both innate and adaptive immunity play a significant role in allograft tolerance. Therefore, immune cells, cytokines, and signal-transduction pathways are critical therapeutic targets. In this analysis, we aimed to review the current literature on various immunotherapeutic approaches for corneal-allograft rejection using the PubMed, EMBASE, Web of Science, Cochrane, and China National Knowledge Infrastructure. Retrievable data for meta-analysis were screened and assessed. The review, which evaluated multiple immunotherapeutic approaches to prevent corneal allograft rejection, showed extensive involvement of innate and adaptive immunity components. Understanding the contribution of this immune diversity to the ocular surface is critical for ensuring corneal allograft survival.
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Affiliation(s)
- Jun Zhu
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (J.Z.); (Y.O.); (K.F.); (M.M.); (Y.A.); (K.H.); (M.K.); (T.H.); (H.S.); (A.M.)
- Department of Ophthalmology, Subei People’s Hospital of Jiangsu Province, Yangzhou 225001, China
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (J.Z.); (Y.O.); (K.F.); (M.M.); (Y.A.); (K.H.); (M.K.); (T.H.); (H.S.); (A.M.)
- Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (K.N.); (A.M.-I.); (A.E.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (A.Y.); (K.F.)
- Department of Ophthalmology, Faculty of Medicine, Juntendo University, Tokyo 1130033, Japan
- Correspondence: ; Tel.: +81-3-5802-1228
| | - Antonio Di Zazzo
- Ophthalmology Complex Operative Unit, Campus Bio-Medico University Hospital, 00128 Rome, Italy; (A.D.Z.); (M.C.); (P.L.S.)
| | - Koji Kitazawa
- Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto 6020841, Japan;
- Buck Institute for Research on Aging, Novato, CA 94945, USA
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (J.Z.); (Y.O.); (K.F.); (M.M.); (Y.A.); (K.H.); (M.K.); (T.H.); (H.S.); (A.M.)
- Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (A.Y.); (K.F.)
| | - Marco Coassin
- Ophthalmology Complex Operative Unit, Campus Bio-Medico University Hospital, 00128 Rome, Italy; (A.D.Z.); (M.C.); (P.L.S.)
| | - Pier Luigi Surico
- Ophthalmology Complex Operative Unit, Campus Bio-Medico University Hospital, 00128 Rome, Italy; (A.D.Z.); (M.C.); (P.L.S.)
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (J.Z.); (Y.O.); (K.F.); (M.M.); (Y.A.); (K.H.); (M.K.); (T.H.); (H.S.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (A.Y.); (K.F.)
| | - Ai Yanagawa
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (A.Y.); (K.F.)
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (J.Z.); (Y.O.); (K.F.); (M.M.); (Y.A.); (K.H.); (M.K.); (T.H.); (H.S.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (A.Y.); (K.F.)
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (J.Z.); (Y.O.); (K.F.); (M.M.); (Y.A.); (K.H.); (M.K.); (T.H.); (H.S.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (A.Y.); (K.F.)
| | - Keiichi Fujimoto
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (A.Y.); (K.F.)
- Department of Ophthalmology, Faculty of Medicine, Juntendo University, Tokyo 1130033, Japan
| | - Ken Nagino
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (K.N.); (A.M.-I.); (A.E.)
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (K.N.); (A.M.-I.); (A.E.)
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (J.Z.); (Y.O.); (K.F.); (M.M.); (Y.A.); (K.H.); (M.K.); (T.H.); (H.S.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (A.Y.); (K.F.)
| | - Mizu Kuwahara
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (J.Z.); (Y.O.); (K.F.); (M.M.); (Y.A.); (K.H.); (M.K.); (T.H.); (H.S.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (A.Y.); (K.F.)
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (J.Z.); (Y.O.); (K.F.); (M.M.); (Y.A.); (K.H.); (M.K.); (T.H.); (H.S.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (A.Y.); (K.F.)
| | - Hurramhon Shokirova
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (J.Z.); (Y.O.); (K.F.); (M.M.); (Y.A.); (K.H.); (M.K.); (T.H.); (H.S.); (A.M.)
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (K.N.); (A.M.-I.); (A.E.)
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (J.Z.); (Y.O.); (K.F.); (M.M.); (Y.A.); (K.H.); (M.K.); (T.H.); (H.S.); (A.M.)
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo 1130033, Japan; (A.Y.); (K.F.)
- Department of Ophthalmology, Faculty of Medicine, Juntendo University, Tokyo 1130033, Japan
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26
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Zhu J, Inomata T, Fujimoto K, Uchida K, Fujio K, Nagino K, Miura M, Negishi N, Okumura Y, Akasaki Y, Hirosawa K, Kuwahara M, Eguchi A, Shokirova H, Yanagawa A, Midorikawa-Inomata A, Murakami A. Ex Vivo-Induced Bone Marrow-Derived Myeloid Suppressor Cells Prevent Corneal Allograft Rejection in Mice. Invest Ophthalmol Vis Sci 2021; 62:3. [PMID: 34061951 PMCID: PMC8185403 DOI: 10.1167/iovs.62.7.3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 05/02/2021] [Indexed: 12/12/2022] Open
Abstract
Purpose To investigate the effects of ex vivo-induced bone marrow myeloid-derived suppressor cells (BM-MDSCs) on allogeneic immune responses in corneal transplantation. Methods Bone marrow cells from C57BL/6J (B6) mice were cultured with IL-6 and GM-CSF for four days. The ex vivo induction of the BM-MDSCs was assessed using flow cytometry, inducible nitric oxide synthase (iNOS) mRNA expression using reverse transcription-quantitative polymerase chain reaction, and nitric oxide (NO) production in allogeneic stimulation. T-cell proliferation and regulatory T-cell (Treg) expansion were investigated on allogeneic stimulation in the presence of ex vivo-induced BM-MDSCs. IFN-γ, IL-2, IL-10, and TGF-β1 protein levels were measured using enzyme-linked immunosorbent assays. After subconjunctival injection of ex vivo-induced BM-MDSCs, the migration of the BM-MDSCs into corneal grafts, allogeneic corneal graft survival, neovascularization, and lymphangiogenesis were assessed using flow cytometry, slit-lamp microscopy, and immunohistochemistry. Results The combination of GM-CSF and IL-6 significantly induced BM-MDSCs with increased iNos mRNA expression. The ex vivo-induced BM-MDSCs promoted NO release in allogeneic stimulation in vitro. The ex vivo-induced BM-MDSCs inhibited T-cell proliferation and promoted Treg expansion. Decreased IFN-γ and increased IL-2, IL-10, and TGF-β1 production was observed in coculture of ex vivo-induced BM-MDSCs. Injected ex vivo-induced BM-MDSCs were confirmed to migrate into the grafts. The injected BM-MDSCs also prolonged corneal graft survival and prevented angiogenesis and lymphangiogenesis. Conclusions The ex vivo-induced BM-MDSCs have suppressive effects on allogeneic immune responses and prolong corneal allograft survival via the iNOS pathway, indicating that they may be a potential therapeutic tool for corneal transplantation.
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Affiliation(s)
- Jun Zhu
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Ophthalmology, Subei People's Hospital Affiliated to Yangzhou University, Jiangsu Province, China
- Department of Ophthalmology, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Ophthalmology, Juntendo University Faculty of Medicine, Tokyo, Japan
- Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Koichiro Uchida
- Atopy Research Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ken Nagino
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Naoko Negishi
- Atopy Research Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Indoor Environment Neurophysiology Research, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Kuwahara
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hurramhon Shokirova
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ai Yanagawa
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Ophthalmology, Juntendo University Faculty of Medicine, Tokyo, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
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27
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Shokirova H, Inomata T, Saitoh T, Zhu J, Fujio K, Okumura Y, Yanagawa A, Fujimoto K, Sung J, Eguchi A, Miura M, Nagino K, Hirosawa K, Kuwahara M, Akasaki Y, Nagase H, Murakami A. Topical administration of the kappa opioid receptor agonist nalfurafine suppresses corneal neovascularization and inflammation. Sci Rep 2021; 11:8647. [PMID: 33883646 PMCID: PMC8060258 DOI: 10.1038/s41598-021-88118-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [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] [Received: 12/05/2020] [Accepted: 04/07/2021] [Indexed: 12/11/2022] Open
Abstract
Corneal neovascularization (CNV) causes higher-order aberrations, corneal edema, ocular inflammation, and corneal transplant rejection, thereby decreasing visual acuity. In this study, we investigated the effects of topical administration of the kappa opioid receptor agonist nalfurafine (TRK-820) on CNV. To induce CNV, intrastromal corneal sutures were placed on the corneal stroma of BALB/c mice for 2 weeks. Nalfurafine (0.1 µg/2 μL/eye) was topically administered to the cornea once or twice daily after CNV induction. The CNV score, immune cell infiltration, and mRNA levels of angiogenic and pro-inflammatory factors in neovascularized corneas were evaluated using slit-lamp microscopy, immunohistochemistry, flow cytometry, and polymerase chain reaction. The mRNA expression of the kappa opioid receptor gene Oprk1 was significantly upregulated following CNV induction. Topical administration of nalfurafine twice daily significantly suppressed CNV and lymphangiogenesis, as well as reduced the mRNA levels of angiogenic and pro-inflammatory factors in the neovascularized corneas. Moreover, nalfurafine administration twice daily reduced the numbers of infiltrating leukocytes, neutrophils, macrophages, and interferon-γ-producing CD4+ T cells in the neovascularized corneas. In this study, we demonstrated that topical administration of nalfurafine suppressed local CNV in a mouse model along with the activation of KOR, suggesting that nalfurafine may prevent and control CNV in humans.
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Affiliation(s)
- Hurramhon Shokirova
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. .,Department of Ophthalmology, Juntendo University Faculty of Medicine, Tokyo, Japan. .,Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo, Japan. .,Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan. .,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
| | - Tsuyoshi Saitoh
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, 1-1-1 Tennodai, Ibaraki, Japan
| | - Jun Zhu
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Ophthalmology, Subei People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu Province, China
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ai Yanagawa
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Faculty of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ken Nagino
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Kuwahara
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hiroshi Nagase
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, 1-1-1 Tennodai, Ibaraki, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Ophthalmology, Juntendo University Faculty of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
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28
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Eguchi A, Inomata T, Nakamura M, Nagino K, Iwagami M, Sung J, Midorikawa-Inomata A, Okumura Y, Fujio K, Fujimoto K, Miura M, Akasaki Y, Shokirova H, Hirosawa K, Kuwahara M, Zhu J, Dana R, Murakami A, Kobayashi H. Heterogeneity of eye drop use among symptomatic dry eye individuals in Japan: large-scale crowdsourced research using DryEyeRhythm application. Jpn J Ophthalmol 2021; 65:271-281. [PMID: 33411099 DOI: 10.1007/s10384-020-00798-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 10/23/2020] [Indexed: 10/22/2022]
Abstract
PURPOSE To determine eye drop type and usage frequency and investigate risk factors for no eye drop use in individuals with symptomatic dry eye (DE) in Japan. STUDY DESIGN Crowdsourced observational study. METHODS This study was conducted using the DryEyeRhythm smartphone application between November 2016 and September 2019. Data collected included the type and frequency of eye drop use, demographics, medical history, lifestyle, and self-reported symptoms. Symptomatic DE was defined as an Ocular Surface Disease Index total score of ≥ 13. Risk factors for no eye drop use were identified using multivariate logistic regression analyses. RESULTS Among 2619 individuals with symptomatic DE, 1876 did not use eye drops. The most common eye drop type was artificial tears (53.4%), followed by hyaluronic acid 0.1% (33.1%) and diquafosol sodium 3% (18.7%). Risk factors (odds ratio [95% confidence interval]) for no eye drop use were age (0.97 [0.97-0.98]), body mass index (1.04 [1.01-1.07]), brain disease (0.38 [0.15-0.98]), collagen disease (0.30 [0.13-0.68]), mental illness other than depression and schizophrenia (0.65 [0.45-0.93]), cataract surgery (0.12 [0.02-0.59]), ophthalmic surgery other than cataract and laser-assisted in situ keratomileusis (0.55 [0.34-0.88]), current (0.47 [0.38-0.57]) or past (0.58 [0.43-0.77]) contact lens use, >8 h screen exposure time (1.38 [1.05-1.81]), <6 h (1.24 [1.01-1.52]) and >9 h (1.34 [1.04-1.72]) sleep time, and water intake (0.97 [0.94-0.98]). CONCLUSION Many participants with symptomatic DE did not use optimized eye drop treatment and identified risk factors for no eye drop use. The DryEyeRhythm application may help improve DE treatment.
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Affiliation(s)
- Atsuko Eguchi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan. .,Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan. .,Department of Ophthalmology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan. .,Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo, Japan. .,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
| | - Masahiro Nakamura
- Department of Ophthalmology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ken Nagino
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan.,Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan.,Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hurramhon Shokirova
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Kuwahara
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jun Zhu
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan.,Department of Ophthalmology, Subei People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu, China
| | - Reza Dana
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Tokyo, 113-0033, Japan.,Department of Ophthalmology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hiroyuki Kobayashi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
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29
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Inomata T, Kitazawa K, Kuno T, Sung J, Nakamura M, Iwagami M, Takagi H, Midorikawa-Inomata A, Zhu J, Fujimoto K, Okumura Y, Miura M, Fujio K, Hirosawa K, Akasaki Y, Kuwahara M, Dana R, Murakami A. Clinical and Prodromal Ocular Symptoms in Coronavirus Disease: A Systematic Review and Meta-Analysis. Invest Ophthalmol Vis Sci 2020; 61:29. [PMID: 32797198 PMCID: PMC7441339 DOI: 10.1167/iovs.61.10.29] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [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: 02/07/2023] Open
Abstract
Purpose This systematic review aimed to determine currently reported clinical and prodromal ocular symptoms in patients with coronavirus disease 2019 (COVID-19). Methods An online article search was performed in PubMed and EMBASE. Altogether 15 studies (retrospective, prospective, or case studies) involving 1533 patients with COVID-19, reporting on ocular symptoms, and with outcome data available were identified. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines were followed. Study-specific estimates (incidence rates of ocular symptoms in patients with COVID-19) of cases were combined using one-group meta-analysis in a random-effects model. Results Of all included studies, 11.2% (95% confidence interval, 5.5-16.9; 78/1526 cases) reported ocular symptoms. The most common ocular finding was conjunctivitis. Prodromal ocular symptoms occurred in 12.5% (13/104 cases) of patients with COVID-19. Positive real-time polymerase chain reaction results were obtained for 16.7% (10/60 cases) of conjunctival samples and 0% (0/17 cases) of tear samples. Twelve ocular conjunctival swab samples tested positive for SARS-CoV-2. Ten cases were from subjects showing ocular symptoms (16.7%, 10/60 cases), and the remaining two cases were from subjects without ocular manifestation (1.8%, 2/113 cases). Limitations included the short study period, small sample size, findings were limited to the Asian population, only seven articles included ophthalmologic examination details, and there is currently no consensus on COVID-19 management. Conclusions Ocular symptoms may occur in the presymptomatic phase as a prodromal symptom (12.5%, 13/104 cases), suggesting the possibility of viral transmission from the conjunctiva.
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Affiliation(s)
- Takenori Inomata
- Department of Ophthalmology, Juntendo University Faculty of Medicine, Tokyo, Japan.,Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Koji Kitazawa
- Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan.,Buck Institute for Research on Aging, Novato, California, United States
| | - Toshiki Kuno
- Department of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Beth Israel, New York, New York, United States
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Masahiro Nakamura
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Hisato Takagi
- Department of Cardiovascular Surgery, Shizuoka Medical Center, Shizuoka, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Jun Zhu
- Department of Ophthalmology, Juntendo University Faculty of Medicine, Tokyo, Japan.,Department of Ophthalmology, Subei People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu Province, China
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Strategic Operating Room Management and Improvement, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Maria Miura
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yasutsugu Akasaki
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizu Kuwahara
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Reza Dana
- Massachusetts Eye and Ear Infirmary, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Faculty of Medicine, Tokyo, Japan.,Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
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30
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Ishihara K, Okazaki K, Akiyama T, Akasaki Y, Nakashima Y. Characterisation of osteophytes as an autologous bone graft source: An experimental study in vivo and in vitro. Bone Joint Res 2017; 6:73-81. [PMID: 28148490 PMCID: PMC5331175 DOI: 10.1302/2046-3758.62.bjr-2016-0199.r1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Accepted: 11/28/2016] [Indexed: 12/02/2022] Open
Abstract
Objectives Osteophytes are products of active endochondral and intramembranous ossification, and therefore could theoretically provide significant efficacy as bone grafts. In this study, we compared the bone mineralisation effectiveness of osteophytes and cancellous bone, including their effects on secretion of growth factors and anabolic effects on osteoblasts. Methods Osteophytes and cancellous bone obtained from human patients were transplanted onto the calvaria of severe combined immunodeficient mice, with Calcein administered intra-peritoneally for fluorescent labelling of bone mineralisation. Conditioned media were prepared using osteophytes and cancellous bone, and growth factor concentration and effects of each graft on proliferation, differentiation and migration of osteoblastic cells were assessed using enzyme-linked immunosorbent assays, MTS ((3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium)) assays, quantitative real-time polymerase chain reaction, and migration assays. Results After six weeks, the area of mineralisation was significantly higher for the transplanted osteophytes than for the cancellous bone (43803 μm2, sd 14660 versus 9421 μm2, sd 5032, p = 0.0184, one-way analysis of variance). Compared with cancellous bone, the conditioned medium prepared using osteophytes contained a significantly higher amounts of transforming growth factor (TGF)-β1 (471 pg/ml versus 333 pg/ml, p = 0.0001, Wilcoxon rank sum test), bone morphogenetic protein (BMP)-2 (47.75 pg/ml versus 32 pg/ml, p = 0.0214, Wilcoxon rank sum test) and insulin-like growth factor (IGF)-1 (314.5 pg/ml versus 191 pg/ml, p = 0.0418, Wilcoxon rank sum test). The stronger effects of osteophytes towards osteoblasts in terms of a higher proliferation rate, upregulation of gene expression of differentiation markers such as alpha-1 type-1 collagen and alkaline phosphate, and higher migration, compared with cancellous bone, was confirmed. Conclusion We provide evidence of favourable features of osteophytes for bone mineralisation through a direct effect on osteoblasts. The acceleration in metabolic activity of the osteophyte provides justification for future studies evaluating the clinical use of osteophytes as autologous bone grafts. Cite this article: K. Ishihara, K. Okazaki, T. Akiyama, Y. Akasaki, Y. Nakashima. Characterisation of osteophytes as an autologous bone graft source: An experimental study in vivo and in vitro. Bone Joint Res 2017;6:73–81. DOI: 10.1302/2046-3758.62.BJR-2016-0199.R1.
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Affiliation(s)
- K Ishihara
- Department of Orthopedic Surgery, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan
| | - K Okazaki
- Department of Orthopedic Surgery, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan
| | | | - Y Akasaki
- Department of Orthopedic Surgery, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan
| | - Y Nakashima
- Department of Orthopedic Surgery, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan
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31
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Takeyama M, Nogami K, Shida Y, Yada K, Hirose T, Hayata Y, Tabayashi N, Taniguchi S, Akasaki Y, Kawaraguchi Y, Kawaguchi M, Shima M. Successful haemostatic management of replacement of the ascending aorta for type A acute aortic dissection in a patient with mild haemophilia B. Haemophilia 2016; 22:e109-e111. [DOI: 10.1111/hae.12879] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/09/2015] [Indexed: 11/28/2022]
Affiliation(s)
- M. Takeyama
- Department of Pediatrics; Nara Medical University; Kashihara, Nara Japan
| | - K. Nogami
- Department of Pediatrics; Nara Medical University; Kashihara, Nara Japan
| | - Y. Shida
- Department of Pediatrics; Nara Medical University; Kashihara, Nara Japan
| | - K. Yada
- Department of Pediatrics; Nara Medical University; Kashihara, Nara Japan
| | - T. Hirose
- Department of Thoracic and Cardiovascular Surgery; Nara Medical University; Kashihara, Nara Japan
| | - Y. Hayata
- Department of Thoracic and Cardiovascular Surgery; Nara Medical University; Kashihara, Nara Japan
| | - N. Tabayashi
- Department of Thoracic and Cardiovascular Surgery; Nara Medical University; Kashihara, Nara Japan
| | - S. Taniguchi
- Department of Thoracic and Cardiovascular Surgery; Nara Medical University; Kashihara, Nara Japan
| | - Y. Akasaki
- Department of Anesthesiology; Nara Medical University; Kashihara, Nara Japan
| | - Y. Kawaraguchi
- Department of Anesthesiology; Nara Medical University; Kashihara, Nara Japan
| | - M. Kawaguchi
- Department of Anesthesiology; Nara Medical University; Kashihara, Nara Japan
| | - M. Shima
- Department of Pediatrics; Nara Medical University; Kashihara, Nara Japan
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Akasaki Y, Hasegawa A, Saito M, Asahara H, Iwamoto Y, Lotz M. Dysregulated FOXO transcription factors in articular cartilage in aging and osteoarthritis. Osteoarthritis Cartilage 2014; 22:162-70. [PMID: 24269635 PMCID: PMC3932989 DOI: 10.1016/j.joca.2013.11.004] [Citation(s) in RCA: 104] [Impact Index Per Article: 10.4] [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: 08/13/2013] [Revised: 10/01/2013] [Accepted: 11/09/2013] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Aging is a major risk factor for osteoarthritis (OA). Forkhead-box class O (FoxO) transcription factors regulate mechanisms of cellular aging, including protein quality control, autophagy and defenses against oxidative stress. The objective of this study was to analyze FoxO transcription factors in normal, aging and OA cartilage. DESIGN Knee joints from humans ages 23-90 and from mice at the age of 4-24 months and following surgically induced OA were analyzed for expression of FoxO proteins. Regulation of FoxO protein expression and activation was analyzed in cultured chondrocytes. RESULTS Human cartilage expressed FOXO1 and FOXO3 but not FOXO4 proteins. FOXO1 and FOXO3 were more strongly expressed the superficial and mid zone as compared to the deep zone and were mainly localized in nuclei. During human joint aging, expression of FOXO1 and FOXO3 was markedly reduced in the superficial zone of cartilage regions exposed to maximal weight bearing. In OA cartilage, chondrocyte clusters showed strong FOXO phosphorylation and cytoplasmic localization. Similar patterns of FOXO expression in normal joints and changes in aging and OA were observed in mouse models. In cultured chondrocytes, IL-1β and TNF-α suppressed FOXO1, while TGF-β and PDGF increased FOXO1 and FOXO3 expression. FOXO1 and FOXO3 phosphorylation was increased by IL-1β, PDGF, bFGF, IGF-1, and the oxidant t-BHP. CONCLUSIONS Normal articular cartilage has a tissue specific signature of FoxO expression and activation and this is profoundly altered in aging and OA in humans and mice. Changes in FoxO expression and activation may be involved in cartilage aging and OA.
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Affiliation(s)
- Y. Akasaki
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - A. Hasegawa
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - M. Saito
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - H. Asahara
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA, USA,National Research Institute for Child Health and Development, Tokyo, Japan,Department of Systems Bio Medicine, Tokyo Medical and Dental University, Tokyo, Japan
| | - Y. Iwamoto
- Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - M.K. Lotz
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA, USA, Address correspondence and reprint requests to: M.K. Lotz, Department of Molecular and Experimental Medicine, MEM-161, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA. (M.K. Lotz)
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Akasaki Y, Matsuda S, Nakayama K, Fukagawa S, Miura H, Iwamoto Y. Mevastatin reduces cartilage degradation in rabbit experimental osteoarthritis through inhibition of synovial inflammation. Osteoarthritis Cartilage 2009; 17:235-43. [PMID: 18672387 DOI: 10.1016/j.joca.2008.06.012] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2008] [Accepted: 06/18/2008] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To examine the therapeutic efficacy of an HMG-CoA reductase inhibitor (statin) in rabbit osteoarthritis (OA) in vitro and in vivo. METHODS In the presence or absence of mevastatin, rabbit chondrocytes and synoviocytes were incubated with Interleukin-1beta (IL-1beta), and analyzed by biochemical methods. Thirty-two mature rabbits that underwent bilateral anterior cruciate ligament transaction (ACLT) received six consecutive weekly intra-articular injections of mevastatin at three different concentrations or a control solution. All animals were sacrificed 6 weeks after ACLT, and the knee joints were assessed by morphological, histological, immunohistochemical, and biochemical methods. RESULTS Mevastatin inhibited IL-1beta stimulation of gene expression of monocyte chemoattractant protein-1 (MCP-1) and matrix-metalloproteinases 3 (MMP-3), in synoviocytes but not chondrocytes. The levels of MCP-1 and MMP-3 productions in synoviocytes were significantly reduced by statin-treatment. In rabbit with OA, intra-articular injection of mevastatin significantly reduced cartilage degradation, as assessed by morphological and histological examinations. Synovial tissues of knees treated with mevastatin showed less severe inflammatory responses with reduced thickness of synovial cell lining and less infiltration of subsynovial CD68+monocyte lineage cells compared to untreated control knees. Relative mRNA expressions of MCP-1, IL-1beta, MMP-3, and MMP-13 were reduced in synovial tissues, but not articular cartilage, of knees treated with mevastatin compared with untreated control knees. CONCLUSION During the development of experimental OA, intra-articular administration of HMG-CoA reductase inhibitor (statin) reduces inflammatory cell infiltration and matrix-degrading enzyme expression, thus limiting cartilage degradation.
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Affiliation(s)
- Y Akasaki
- Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka 812-8582, Japan
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Mizu-uchi H, Matsuda S, Miura H, Okazaki K, Akasaki Y, Iwamoto Y. The evaluation of post-operative alignment in total knee replacement using a CT-based navigation system. ACTA ACUST UNITED AC 2008; 90:1025-31. [PMID: 18669957 DOI: 10.1302/0301-620x.90b8.20265] [Citation(s) in RCA: 93] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
We compared the alignment of 39 total knee replacements implanted using the conventional alignment guide system with 37 implanted using a CT-based navigation system, performed by a single surgeon. The knees were evaluated using full-length weight-bearing anteroposterior radiographs, lateral radiographs and CT scans. The mean hip-knee-ankle angle, coronal femoral component angle and coronal tibial component angle were 181.8 degrees (174.2 degrees to 188.3 degrees), 88.5 degrees (84.0 degrees to 91.8 degrees) and 89.7 degrees (86.3 degrees to 95.1 degrees), respectively for the conventional group and 180.8 degrees (178.2 degrees to 185.1 degrees), 89.3 degrees (85.8 degrees to 92.0 degrees) and 89.9 degrees (88.0 degrees to 93.0 degrees), respectively for the navigated group. The mean sagittal femoral component angle was 85.5 degrees (80.6 degrees to 92.8 degrees) for the conventional group and 89.6 degrees (85.5 degrees to 94.0 degrees) for the navigated group. The mean rotational femoral and tibial component angles were -0.7 degrees (-8.8 degrees to 9.8 degrees) and -3.3 degrees (-16.8 degrees to 5.8 degrees) for the conventional group and -0.6 degrees (-3.5 degrees to 3.0 degrees) and 0.3 degrees (-5.3 degrees to 7.7 degrees) for the navigated group. The ideal angles of all alignments in the navigated group were obtained at significantly higher rates than in the conventional group. Our results demonstrated significant improvements in component positioning with a CT-based navigation system, especially with respect to rotational alignment.
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Affiliation(s)
- H Mizu-uchi
- Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka City, Fukuoka, 812-8582, Japan
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Nagatomo I, Akasaki Y, Tominaga M, Hashiguchi W, Uchida M, Takigawa M. Abnormal behavior of residents in a long-term care facility and the associated stress of care staff members. Arch Gerontol Geriatr 2001; 33:203-10. [PMID: 15374016 DOI: 10.1016/s0167-4943(01)00182-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2001] [Revised: 06/08/2001] [Accepted: 06/11/2001] [Indexed: 11/20/2022]
Abstract
To survey the factors associated with abnormal behavior in 99 elderly residing in a special nursing home, we investigated the relationships between abnormal behavior and depression as well as impairments in cognition and activities of daily living (ADL), and the stress level of 28 care staff members. The clinical criteria for grading of dementia (intellectual level), the Cornell scale for depression in dementia (CSDD), the dementia behavior disturbance (DBD) scale, and rating of performance of ADL were used to assess behavioral and psychiatric symptoms in the elderly patients. Stress levels of care staff members were assessed using the 'burnout' scale. The DBD scale score correlated with the intellectual level, CSDD score, and three categories of ADL (urinary continence, faecal continence, and comprehension of conversation). The DBD scale score correlated negatively with one category of ADL (eating) in men, but did not correlate with ADL in women. No correlation was found between the burnout scale scores of care staff and either their age or work schedules. Present results showed that abnormal behavior in special nursing home residents correlated with depression as well as cognitive impairment. It is believed that the treatment and management of depression will decrease abnormal behaviors and improve their quality of life in special nursing home residents.
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Affiliation(s)
- I Nagatomo
- Department of Neuropsychiatry, Faculty of Medicine, Kagoshima University, 8-35-1, Sakuragaoka, Kagoshima 890-8520, Japan.
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Kikuchi T, Akasaki Y, Irie M, Homma S, Abe T, Ohno T. Results of a phase I clinical trial of vaccination of glioma patients with fusions of dendritic and glioma cells. Cancer Immunol Immunother 2001; 50:337-44. [PMID: 11676393 PMCID: PMC11032998 DOI: 10.1007/s002620100205] [Citation(s) in RCA: 209] [Impact Index Per Article: 9.1] [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] [Received: 03/19/2001] [Accepted: 05/09/2001] [Indexed: 02/07/2023]
Abstract
Several reports of clinical trials of immunotherapy using dendritic cells have been published to date. In this study, we investigated the safety and clinical response of immunotherapy with fusions of dendritic and glioma cells for the treatment of patients with malignant glioma. Eight patients with malignant glioma, ranging in age from 4 to 63 years old, participated in this study. Dendritic cells were generated from peripheral blood. Cultured autologous glioma cells were established from surgical specimens in each case. Fusion cells of dendritic and glioma cells were prepared with polyethylene glycol, and the fusion efficiency ranged from 9.2 to 35.3% (mean, 21.9%). All patients received the fusion cells every three weeks for a minimum of 3, and a maximum of 7, immunizations. Fusion cells were injected intradermally, close to a cervical lymph node. The percentage of CD16- and CD56-positive cells in peripheral blood lymphocytes slightly increased after immunization in 4 out of 5 cases investigated. Peripheral blood mononuclear cells were incubated with irradiated autologous glioma or U87MG cells and supernatants were harvested. In 6 cases analyzed, the concentration of interferon-gamma in the supernatant increased after immunization. Clinical results showed that there were no serious adverse effects and two partial responses. Although the results of the phase I clinical trial of fusion cells indicated that this treatment safely induced immune responses. we were unable to establish a statistically significant treatment-associated response rate, due to the limited sample population. Therefore, further evaluation of the role of adjuvant cytokines is necessary.
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Affiliation(s)
- T Kikuchi
- Department of Oncology, The Institute of DNA Medicine, Jikei University, Tokyo, Japan.
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Hashiguchi W, Nagatomo I, Akasaki Y, Uchida M, Tominaga M, Takigawa M. Influences of caffeine to nitric oxide production and zonisamide concentration in the brain of seizure-susceptible EL mice. Psychiatry Clin Neurosci 2001; 55:319-24. [PMID: 11442881 DOI: 10.1046/j.1440-1819.2001.00870.x] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.7] [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: 11/20/2022]
Abstract
To investigate changes of nitric oxide (NO) productions and zonisamide (ZNS) concentrations in the brain of seizure-susceptible EL mice given caffeine orally, mice were given caffeine (600 microg/mL) solution ad libitum as a drinking fluid for 1-3 weeks. Nitric oxide production in the brain was determined by measuring levels of nitrite plus nitrate (NOx). The brain NOx levels of mice treated with caffeine for 3 weeks were significantly higher than the control. Seizures in mice treated with caffeine for 2 and 3 weeks were not suppressed by ZNS at a dose of 75 mg/kg. Serum ZNS concentrations of mice with caffeine intake for 1-3 weeks were higher than in untreated mice. Conversely, brain ZNS concentrations of mice with caffeine intake for the same periods were significantly lower than in untreated mice. These results suggested that caffeine influenced brain NO production and ZNS concentrations in the seizure susceptibility of EL mice.
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Affiliation(s)
- W Hashiguchi
- Department of Neuropsychiatry, Faculty of Medicine, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima 890-8520, Japan
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Nagatomo I, Akasaki Y, Hashiguchi W, Tominaga M, Uchida M, Takigawa M. A solvent used for antiepileptic drugs increases serum and brain zonisamide concentrations in seizure-susceptible el mice. Epilepsy Behav 2001; 2:357-62. [PMID: 12609213 DOI: 10.1006/ebeh.2001.0224] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2001] [Revised: 05/30/2001] [Accepted: 06/04/2001] [Indexed: 11/22/2022]
Abstract
Effects of a solvent mixture commonly used to dissolve antiepileptic drugs on the anticonvulsive effect as well as serum and brain concentrations of zonisamide (ZNS), a sulfonamide derivative, were investigated. The solvent mixture consisted of propylene glycol (PG, 40%) and ethanol (10.5%) in saline (PES). Intraperitoneal administration of ZNS at 25, 50, and 75 mg/kg dissolved in PES suppressed seizures in the EL strain of mice more effectively than the same doses of ZNS in saline. Serum and brain concentrations of the drug were significantly higher with PES than with saline as the vehicle for administration. At a dose of 75 mg/kg ip, both serum and brain ZNS concentrations in mice treated with ZNS in PES remained significantly higher than concentrations in mice treated with ZNS in saline from 1 to 6 hours after injection. PES mixtures including PG may not be suitable solvents for antiepileptic drugs in experiments investigating anticonvulsive effects.
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Affiliation(s)
- I Nagatomo
- Department of Neuropsychiatry, Faculty of Medicine, Kagoshima University, 8-35-1, Kagoshima, 890-8520, Japan
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Tominaga M, Nagatomo I, Uchida M, Hashiguchi W, Akasaki Y, Takigawa M. Alterations of nitric oxide and monoamines in the brain of the EL mouse treated with phenobarbital and zonisamide. Psychiatry Clin Neurosci 2001; 55:311-8. [PMID: 11442880 DOI: 10.1046/j.1440-1819.2001.00869.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [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: 11/20/2022]
Abstract
The effects of phenobarbital (PB; doses, 5, 10, and 25 mg/kg, intraperitoneally (i.p.)) and zonisamide (ZNS; doses, 30, 75, and 150 mg/kg, i.p.) on nitric oxide (NO) production, and those of coadministration of PB (5 mg/kg, i.p.) and ZNS (75 mg/kg, i.p.) on monoamines in the brain of the seizure-susceptible EL mouse were investigated. Nitric oxide production was obtained by measuring the combined level of nitrite plus nitrate (NOx). Zonisamide and PB dose-dependently suppressed the seizure of the EL mouse, and coadministration of PB (5 mg/kg) and ZNS (75 mg/kg) induced a greater degree of seizure suppression than treatment with ZNS or PB alone. Although PB (5 mg/kg) had no effect on brain NOx levels, ZNS (150 mg/kg) and coadministration of ZNS (75 mg/kg) and PB (5 mg/kg) decreased NOx levels significantly. Phenobarbital (5 mg/kg) did not influence monoamines, while coadministration of PB (5 mg/kg) and ZNS (75 mg/kg) decreased dihydroxyphenylacetic acid and increased 5-HT concentrations. The effect of the coadministration of two drugs on monoamines were similar to that of ZNS alone. These results suggest that one of the anticonvulsant effects of coadministration of PB and ZNS may be caused by changes in NOx levels.
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Affiliation(s)
- M Tominaga
- Department of Neuropsychiatry, Faculty of Medicine, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima 890-8520, Japan
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Akasaki Y, Kikuchi T, Homma S, Abe T, Kofe D, Ohno T. Antitumor effect of immunizations with fusions of dendritic and glioma cells in a mouse brain tumor model. J Immunother 2001; 24:106-13. [PMID: 11265767] [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: 02/19/2023]
Abstract
The authors studied antitumor immunity conferred by fusions of dendritic and glioma cells in a mouse brain tumor model. Previous immunization with fusion cells (FCs) prevented tumor formation on challenge with glioma cells in the flank or in the brain. Efficacy was decreased when studies were performed in mice depleted of CD8+ cells. In a treatment model, FCs were injected subcutaneously after tumor development in the brain. The administration of FCs alone had limited effects on survival of mice bearing brain tumors. Importantly, however, administration of FCs and recombinant interleukin-12 (rIL-12) remarkably prolonged the survival of mice with brain tumors. Cytotoxic T lymphocyte activity against glioma cells from immunized mice was also stimulated by coadministration of FCs and rIL-12 compared with that obtained with FCs or rIL-12 alone. These data support the therapeutic efficacy of combining FC-based vaccine therapy and rIL-12.
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Affiliation(s)
- Y Akasaki
- Department of Neurosurgery, Jikei University School of Medicine, Tokyo, Japan
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Nagatomo I, Hashiguchi W, Tominaga M, Akasaki Y, Uchida M, Takigawa M. Effects of MK-801, dantrolene, and FK506 on convulsive seizures and brain nitric oxide production in seizure-susceptible EL mice. Brain Res 2001; 888:306-310. [PMID: 11150489 DOI: 10.1016/s0006-8993(00)03101-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.7] [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: 10/17/2022]
Abstract
To clarify the role of nitric oxide (NO) in the pathogenesis of seizures in susceptible EL mice, we investigated effects of three drugs potentially related to NO production, MK-801, dantrolene, and FK506, on convulsive seizures and brain NO metabolites (NOx). MK-801 or dantrolene, but not FK506, suppressed convulsive seizures in EL mice; only MK-801 reduced NOx in the brain. Our results suggested involvement of the N-methyl-D-aspartate receptor-channel complex and intracellular calcium mobilization, but not calcineurin, in the convulsions of EL mice.
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Affiliation(s)
- I Nagatomo
- Department of Neuropsychiatry, Faculty of Medicine, Kagoshima University, 8-35-1, Sakuragaoka, 890-8520, Kagoshima, Japan.
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Nagatomo I, Akasaki Y, Uchida M, Tominaga M, Hashiguchi W, Kuchiiwa S, Nakagawa S, Takigawa M. Age-related alterations of nitric oxide production in the brains of seizure-susceptible EL mice. Brain Res Bull 2000; 53:301-6. [PMID: 11113584 DOI: 10.1016/s0361-9230(00)00347-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [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: 11/16/2022]
Abstract
We evaluated age-related changes in nitric oxide (NO) production in the brains of EL mice, a strain highly susceptible to seizures. A group of EL(s) mice were tossed up weekly to induce convulsive seizures, while in a nonstimulated EL(ns) group induction of convulsive seizures was avoided. Brain levels of nitrite plus nitrate (NOx) in EL(ns) mice were significantly higher than in nonstimulated mice at 10 days, and also higher than levels at 15 and 50 weeks in either EL(s) or EL(ns) mice. A significantly higher number of NO-producing cells were demonstrated in the hippocampus and parietal cortex by staining for nicotinamide adenine dinucleotide phosphate (NADPH)-diaphorase in EL(s) mice at the ages of 15 and 50 weeks than in EL(ns) mice at the age of 6 weeks. In EL(ns) mice, significantly fewer neurons showed NADPH-diaphorase staining in the hippocampus, striatum and parietal cortex at the age of 50 weeks than at 6 weeks. The present results suggest that whole-brain NOx levels in EL(ns) and EL(s) mice and numbers of NADPH-diaphorase-positive neurons in EL(ns) mice decreased with aging, while increasing of numbers of such neurons in EL(s) mice were assumed to develop in compensation for reduction in whole-brain NOx levels.
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Affiliation(s)
- I Nagatomo
- Departments of 1Department of Neuropsychiatry, Faculty of Medicine, Kagoshima University, Kagoshiima, Sakuragaoka, Japan.
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Nagatomo I, Akasaki Y, Uchida M, Tominaga M, Hashiguchi W, Takigawa M. Effects of combined administration of zonisamide and valproic acid or phenytoin to nitric oxide production, monoamines and zonisamide concentrations in the brain of seizure-susceptible EL mice. Brain Res Bull 2000; 53:211-8. [PMID: 11044598 DOI: 10.1016/s0361-9230(00)00333-6] [Citation(s) in RCA: 14] [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: 11/23/2022]
Abstract
This study was undertaken to elucidate the anticonvulsive effects of zonisamide (ZNS: 25, 50, and 75 mg/kg, intraperitoneal [i.p.]), which was coadministered with valproic acid (VPA: 25, 50, and 100 mg/kg, i.p.), or phenytoin (PHT: 10, 25, and 50 mg/kg, i.p.) to ZNS concentration, nitric oxide metabolites (NOx levels), and monoamines in the brain of the EL mouse, a strain highly susceptible to seizures. NOx levels were obtained from measuring of combined level of nitrite plus nitrate. Coadministration of ZNS with VPA or PHT suppressed convulsive seizures more effectively than with treatment of ZNS alone. Both serum and brain concentrations of ZNS tended to increase as the dose of VPA or PHT was increased. While coadministrations of ZNS (75 mg/kg) and VPA or PHT at any dose did not change brain and serum NOx levels, those altered brain monoamine contents. These results suggested that anticonvulsive effect of coadministrations of ZNS and VPA or PHT were caused by changes of monoamines rather than changes of NO metabolites.
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Affiliation(s)
- I Nagatomo
- Department of Neuropsychiatry, Faculty of Medicine, Kagoshima University, Kagoshima, Japan.
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Nagatomo I, Uchida M, Akasaki Y, Hashiguchi W, Tominaga M, Kuchiiwa S, Nakagawa S, Takigawa M. The effect of alcohol on convulsions and nitric oxide levels in seizure-susceptible el mice. Epilepsy Behav 2000; 1:176-83. [PMID: 12609151 DOI: 10.1006/ebeh.2000.0072] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2000] [Revised: 05/04/2000] [Accepted: 05/24/2000] [Indexed: 11/22/2022]
Abstract
To evaluate the influences of ethanol intake on convulsive seizures and brain nitric oxide (NO) production, EL mice, a strain highly susceptible to seizures, were given a 10% ethanol solution ad libitum. In mice consuming ethanol for 4, 8, and 12 weeks, seizures were not suppressed by zonisamide (75 mg/kg ip). Brain NO metabolite levels in mice after 12 weeks of consumption were significantly lower than those in control mice and those consuming ethanol for 4 weeks. Numbers of NADPH diaphorase-positive neurons in the hippocampal formation and parietal cortex of mice consuming for 4 and 12 weeks were significantly higher than in controls. These results suggested that increasing of numbers of NADPH diaphorase-positive neurons in the hippocampal formation and parietal cortex were assumed to develop in compensation for reduction in whole-brain NO metabolite levels of EL mice exposed to ethanol.
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Affiliation(s)
- I Nagatomo
- Department of Neuropsychiatry, Faculty of Medicine, Kagoshima University, 8-35-1, Sakuragaoka, Kagoshima, 890-8520, Japan
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Abstract
Interleukin-18 (IL-18) exhibits antitumor activity in various laboratory models. In the current study, brain tumors in naive mice regressed after an intratumoral injection of a single dose of recombinant IL-18 (rIL-18). Intraperitoneal rIL-18 substantially delayed the growth of subcutaneously inoculated gliomas but not gliomas located in the brain. Efficacy was reduced when studies were performed in mice depleted of natural killer cells. Although intracerebral administration of rIL-18 increased the serum interferon-gamma concentration, the antitumor effect of IL-18 was not mediated by interferon-gamma. These data suggest the therapeutic potential for control of tumor growth by intratumoral administration of rIL-18 in patients with glioma.
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Affiliation(s)
- T Kikuchi
- Department of Oncology, The Institute of DNA Medicine, Jikei University School of Medicine, Tokyo, Japan
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Uchida M, Nagatomo I, Akasaki Y, Tominaga M, Hashiguchi W, Kuchiiwa S, Nakagawa S, Takigawa M. Nitric oxide production is decreased in the brain of the seizure susceptible EL mouse. Brain Res Bull 1999; 50:223-7. [PMID: 10582520 DOI: 10.1016/s0361-9230(99)00194-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
To investigate nitric oxide production in the brain of the EL mouse, an inbred mutant strain of the ddY mouse that is susceptible to convulsive seizures, we measured whole brain nitric oxide metabolites, and counted the number of nitric oxide-producing cells in the parietal cortex and striatum. Nitric oxide metabolites in the brain and serum were determined by measuring levels of nitrite plus nitrate. Nitric oxide-producing cells were demonstrated histochemically by staining for nicotinamide adenine dinucleotide phosphate (NADPH) diaphorase. Levels of nitrite plus nitrate in the whole brain were significantly lower than those of the control mice, although levels of nitrite plus nitrate in the serum did not differ between groups. There were significantly fewer NADPH-diaphorase-positive cells in the parietal cortex and striatum of the EL mouse compared to the ddY controls. These results suggest that lower nitric oxide production in the brain may be related to the susceptibility of the EL mouse to convulsive seizures.
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Affiliation(s)
- M Uchida
- Department of Neuropsychiatry, Faculty of Medicine, Kagoshima University, Japan
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Joki T, Kikuchi T, Akasaki Y, Saitoh S, Abe T, Ohno T. Induction of effective antitumor immunity in a mouse brain tumor model using B7-1 (CD80) and intercellular adhesive molecule 1 (ICAM-1; CD54) transfection and recombinant interleukin 12. Int J Cancer 1999; 82:714-20. [PMID: 10417770 DOI: 10.1002/(sici)1097-0215(19990827)82:5<714::aid-ijc15>3.0.co;2-q] [Citation(s) in RCA: 38] [Impact Index Per Article: 1.5] [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: 12/25/2022]
Abstract
Although tumor-specific T lymphocytes recognize tumor-associated antigens (TAA) present on their cell surface via major histocompatibility complex (MHC) molecules, T cells require other activating signals. These are provided by costimulatory molecules, including B7-1 (CD80), B7-2 (CD86) and intercellular adhesive molecule 1 (ICAM-1; CD54). Transfecting mouse tumor cell lines with the B7 gene can lead to primary tumor rejection and the establishment of protective immunity. However, some studies have shown that the B7 effect upon T-cell-dependent tumor immunity is limited. Therefore, we examined the antitumor effects of recombinant interleukin 12 (IL-12) and genetically engineered glioma cells expressing B7-1 or both B7-1 and ICAM-1. Vaccination of mice with B7-1-expressing tumor cells substantially inhibited the growth of subcutaneously inoculated gliomas but not those located in the brain. Vaccination with B7-1-expressing tumor cells and systemic recombinant IL-12 (rIL-12) was more effective than either B7-1-expressing tumor cells or rIL-12 alone. Our murine brain tumor model also showed that vaccination with tumor cells expressing both B7-1 and ICAM-1 combined with rIL-12 prolonged survival. We have demonstrated the therapeutic potential of vaccination with rIL-12 and tumor cells expressing both B7-1 and ICAM-1 in the control of glioma growth.
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Affiliation(s)
- T Joki
- Department of Neurosurgery, Jikei University School of Medicine, Tokyo, Japan
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Kikuchi T, Joki T, Akasaki Y, Abe T, Ohno T. Induction of antitumor immunity using intercellular adhesion molecule 1 (ICAM-1) transfection in mouse glioma cells. Cancer Lett 1999; 142:201-6. [PMID: 10463777 DOI: 10.1016/s0304-3835(99)00169-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.5] [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: 12/25/2022]
Abstract
We investigated the role of intercellular adhesion molecule 1 (ICAM-1) expression in tumorigenicity of gliomas and the antitumor effects of glioma cells genetically engineered to express ICAM- 1. Mouse glioma cells transfected with ICAM-1 grew in T-cell deficient mice but not in syngeneic mice. Vaccination with ICAM-1-transfected tumor cells markedly inhibited the growth of subcutaneously inoculated gliomas but not gliomas located in the brain. In vivo antibody ablation study revealed that CD4+ T, CD8+ T and NK cells were all required to produce the antitumor effect of SR/ICAM- 1. In this study, we demonstrated the therapeutic potential of vaccination with ICAM-1-overexpressing tumor cells for the control of the tumor growth.
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Affiliation(s)
- T Kikuchi
- The Institute of DNA Medicine, Department of Neurosurgery, Jikei University School of Medicine, Tokyo, Japan.
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Nagatomo I, Akasaki Y, Uchida M, Tominaga M, Hashiguchi W, Takigawa M. Gender of demented patients and specific family relationship of caregiver to patients influence mental fatigue and burdens on relatives as caregivers. Int J Geriatr Psychiatry 1999; 14:618-25. [PMID: 10489652 DOI: 10.1002/(sici)1099-1166(199908)14:8<618::aid-gps989>3.0.co;2-b] [Citation(s) in RCA: 48] [Impact Index Per Article: 1.9] [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: 11/10/2022]
Abstract
OBJECTIVES To survey the burden and psychological problems of family caregivers of demented people. DESIGN All scores were compared according to gender of the demented patients and which family members were the caregivers. SETTING Outpatients clinic at the university hospital and the day service system for the elderly. PATIENTS Sixty-two demented patients living at home and family members acting as caregivers. MEASURES Cognitive function, activities of daily living (ADL) and behaviour of demented patients were rated using the Hasegawa scale, the ADL scale and the dementia behaviour disturbance (DBD) scale. Caregiver's burden and mental fatigue were rated using a burden scale and a general health questionnaire (GHQ). RESULTS Caregiver burden correlated negatively with the Hasegawa score and positively with the GHQ and DBD scores. Caregiver burden, GHQ and DBD for male patients were significantly higher than for females. Little difference was evident for caregiver burden scale or patient DBD between spouses and offspring as caregiver, but the GHQ score for spouses was significantly worse than that for offspring. CONCLUSIONS The difficulty of caregivers in supporting the daily life of demented family members correlated with patients' cognitive impairment, abnormal behaviour and ADL status, and caregivers' difficulty resulted in mental fatigue. Caregivers' relative isolation from friends, attributable to their caregiving responsibility, did not correlate with the demented person's cognitive impairment or ADL status.
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Affiliation(s)
- I Nagatomo
- Department of Neuropsychiatry, Faculty of Medicine, Kagoshima University, Japan
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