{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:43:03Z","timestamp":1740170583789,"version":"3.37.3"},"reference-count":24,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The Innovation Foundation of Translational Medicine of Shanghai Jiao Tong University School of Medicine\u2014Project of Precision Medicine","award":["15ZH4006","15DZ2292100","2016YFC0903303","81570808"],"award-info":[{"award-number":["15ZH4006","15DZ2292100","2016YFC0903303","81570808"]}]},{"name":"Shanghai Major Clinical Disease Clinical Sample Pool of Professional and Technical Services Platform","award":["15ZH4006","15DZ2292100","2016YFC0903303","81570808"],"award-info":[{"award-number":["15ZH4006","15DZ2292100","2016YFC0903303","81570808"]}]},{"name":"National Key Research and Development Project of China","award":["15ZH4006","15DZ2292100","2016YFC0903303","81570808"],"award-info":[{"award-number":["15ZH4006","15DZ2292100","2016YFC0903303","81570808"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["15ZH4006","15DZ2292100","2016YFC0903303","81570808"],"award-info":[{"award-number":["15ZH4006","15DZ2292100","2016YFC0903303","81570808"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Diabetes Research"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p><jats:italic>Objective<\/jats:italic>. In this study, we aimed to identify mt3243A\u00a0&gt;\u00a0G mutation carriers in a group of Chinese elderly type 2 diabetic patients by a rapid and noninvasive diagnostic system. <jats:italic>Methods<\/jats:italic>. DNA was extracted from blood, saliva, and urine sediment samples. The mutation screening and quantitation of heteroplasmy were performed by high-resolution melting (HRM) curve and pyrosequencing, respectively. Patients with mt3243A\u00a0&gt;\u00a0G mutation underwent a detailed audiometric, ophthalmologic, neurological, and cardiac examination. <jats:italic>Results<\/jats:italic>. Two patients (2\/1041) carrying the mt3243A\u00a0&gt;\u00a0G mutation were detected among all type 2 diabetic patients. In patient 1, the heteroplasmy was 0.8%, 2.8%, and 14.7% in peripheral blood leukocytes, saliva, and urine sediment, respectively. In patient 2, the heteroplasmy was 5.3%, 8.4%, and 37.7% in peripheral blood leukocytes, saliva, and urine sediment, respectively. Both of the two patients showed hearing impairment. Abnormal ophthalmologic conditions and hyperintensity on T2-weighted magnetic resonance images were showed in patient 1. <jats:italic>Conclusion<\/jats:italic>. The occurrence of mt3243 A\u00a0&gt;\u00a0G mutation was 0.2% in Chinese elderly type 2 diabetic patients. Moreover, detection of mt3243 A\u00a0&gt;\u00a0G mutation in urine sediment with high-resolution melting (HRM) curve and pyrosequencing is feasible in molecular genetic diagnosis.<\/jats:p>","DOI":"10.1155\/2017\/4683857","type":"journal-article","created":{"date-parts":[[2017,6,21]],"date-time":"2017-06-21T17:02:36Z","timestamp":1498064556000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Rapid Detection of the mt3243A\u00a0&gt;\u00a0G Mutation Using Urine Sediment in Elderly Chinese Type 2 Diabetic Patients"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0357-3926","authenticated-orcid":true,"given":"Yinan","family":"Zhang","sequence":"first","affiliation":[{"name":"The Metabolic Diseases Biobank, Center for Translational Medicine, Shanghai Key Laboratory of Diabetes, Shanghai Jiao Tong University Affiliated Sixth People\u2019s Hospital, Shanghai 200233, 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