儿童和青少年肥胖症患者的胰岛素分泌缺陷:临床和分子遗传特征

IF 3.6 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Journal of Diabetes Research Pub Date : 2024-03-20 DOI:10.1155/2024/5558634
Helena Enders-Seidlitz, Klemens Raile, Maolian Gong, Angela Galler, Peter Kuehnen, Susanna Wiegand
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We included children and adolescents with obesity who completed an oral glucose tolerance test (OGTT, <span><svg height=\"12.7112pt\" style=\"vertical-align:-3.403299pt\" version=\"1.1\" viewbox=\"-0.0498162 -9.3079 49.422 12.7112\" width=\"49.422pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,6.175,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,9.308,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,16.211,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,21.71,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,28.34,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,33.215,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,41.791,0)\"></path></g></svg><span></span><span><svg height=\"12.7112pt\" style=\"vertical-align:-3.403299pt\" version=\"1.1\" viewbox=\"52.277183799999996 -9.3079 36.313 12.7112\" width=\"36.313pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,52.327,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,55.811,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,62.818,0)\"><use xlink:href=\"#g190-116\"></use></g><g transform=\"matrix(.013,0,0,-0.013,67.524,0)\"><use xlink:href=\"#g190-118\"></use></g><g transform=\"matrix(.013,0,0,-0.013,74.492,0)\"><use xlink:href=\"#g190-109\"></use></g><g transform=\"matrix(.013,0,0,-0.013,77.781,0)\"><use xlink:href=\"#g190-106\"></use></g><g transform=\"matrix(.013,0,0,-0.013,81.265,0)\"><use xlink:href=\"#g190-111\"></use></g></svg>)</span></span> in the outpatient clinic. We calculated Matsuda index, the area under the curve (AUC (Ins/Glu)), and an oral disposition index (ISSI-2) to estimate insulin resistance and beta-cell function. We identified patients with IGR and low insulin secretion (maximum insulin during <span><svg height=\"9.39034pt\" style=\"vertical-align:-0.6370001pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.75334 47.029 9.39034\" width=\"47.029pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,9.946,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,19.241,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,27.614,0)\"><use xlink:href=\"#g190-85\"></use></g><g transform=\"matrix(.013,0,0,-0.013,39.398,0)\"></path></g></svg><span></span><svg height=\"9.39034pt\" style=\"vertical-align:-0.6370001pt\" version=\"1.1\" viewbox=\"50.6111838 -8.75334 18.919 9.39034\" width=\"18.919pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,50.661,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,56.901,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,63.141,0)\"><use xlink:href=\"#g113-49\"></use></g></svg></span> mU/l) and tested a subgroup using next generation sequencing to identify possible mutations in 103 candidate genes. <i>Results</i>. The total group consisted of 903 children and adolescents with obesity. 4.5% showed impaired fasting glucose, 9.4% impaired glucose tolerance, and 1.2% T2D. Matsuda index and Total AUC (Ins/Glu) showed a hyperbolic relationship. Out of 39 patients with low insulin secretion, we performed genetic testing on 12 patients. We found five monogenetic defects (ABCC8 (<span><svg height=\"8.55521pt\" style=\"vertical-align:-0.2063904pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 17.789 8.55521\" width=\"17.789pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,10.158,0)\"></path></g></svg><span></span><span><svg height=\"8.55521pt\" style=\"vertical-align:-0.2063904pt\" version=\"1.1\" viewbox=\"21.3711838 -8.34882 6.416 8.55521\" width=\"6.416pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,21.421,0)\"></path></g></svg>),</span></span> GCK (<span><svg height=\"8.55521pt\" style=\"vertical-align:-0.2063904pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 17.789 8.55521\" width=\"17.789pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-111\"></use></g><g transform=\"matrix(.013,0,0,-0.013,10.158,0)\"><use xlink:href=\"#g117-34\"></use></g></svg><span></span><span><svg height=\"8.55521pt\" style=\"vertical-align:-0.2063904pt\" version=\"1.1\" viewbox=\"21.3711838 -8.34882 6.416 8.55521\" width=\"6.416pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,21.421,0)\"></path></g></svg>),</span></span> and GLI2/PTF1A (<span><svg height=\"8.55521pt\" style=\"vertical-align:-0.2063904pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 17.789 8.55521\" width=\"17.789pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-111\"></use></g><g transform=\"matrix(.013,0,0,-0.013,10.158,0)\"><use xlink:href=\"#g117-34\"></use></g></svg><span></span><span><svg height=\"8.55521pt\" style=\"vertical-align:-0.2063904pt\" version=\"1.1\" viewbox=\"21.3711838 -8.34882 6.416 8.55521\" width=\"6.416pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,21.421,0)\"><use xlink:href=\"#g113-50\"></use></g></svg>))</span></span>. <i>Conclusion</i>. Using surrogate parameters of beta-cell function and insulin resistance can help identify patients with insulin secretion disorder. A prevalence of 40% mutations of known diabetes genes in the subgroup with low insulin secretion suggests that at least 1.7% of patients with adolescent obesity have monogenic diabetes. A successful molecular genetic diagnosis can help to improve individual therapy.","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"27 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Insulin Secretion Defect in Children and Adolescents with Obesity: Clinical and Molecular Genetic Characterization\",\"authors\":\"Helena Enders-Seidlitz, Klemens Raile, Maolian Gong, Angela Galler, Peter Kuehnen, Susanna Wiegand\",\"doi\":\"10.1155/2024/5558634\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<i>Introduction</i>. Childhood obesity is increasing worldwide and presents as a global health issue due to multiple metabolic comorbidities. About 1% of adolescents with obesity develop type 2 diabetes (T2D); however, little is known about the genetic and pathophysiological background at young age. 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We included children and adolescents with obesity who completed an oral glucose tolerance test (OGTT, <span><svg height=\\\"12.7112pt\\\" style=\\\"vertical-align:-3.403299pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -9.3079 49.422 12.7112\\\" width=\\\"49.422pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,6.175,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,9.308,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,16.211,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,21.71,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,28.34,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,33.215,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,41.791,0)\\\"></path></g></svg><span></span><span><svg height=\\\"12.7112pt\\\" style=\\\"vertical-align:-3.403299pt\\\" version=\\\"1.1\\\" viewbox=\\\"52.277183799999996 -9.3079 36.313 12.7112\\\" width=\\\"36.313pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,52.327,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,55.811,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,62.818,0)\\\"><use xlink:href=\\\"#g190-116\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,67.524,0)\\\"><use xlink:href=\\\"#g190-118\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,74.492,0)\\\"><use xlink:href=\\\"#g190-109\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,77.781,0)\\\"><use xlink:href=\\\"#g190-106\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,81.265,0)\\\"><use xlink:href=\\\"#g190-111\\\"></use></g></svg>)</span></span> in the outpatient clinic. We calculated Matsuda index, the area under the curve (AUC (Ins/Glu)), and an oral disposition index (ISSI-2) to estimate insulin resistance and beta-cell function. 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The total group consisted of 903 children and adolescents with obesity. 4.5% showed impaired fasting glucose, 9.4% impaired glucose tolerance, and 1.2% T2D. Matsuda index and Total AUC (Ins/Glu) showed a hyperbolic relationship. Out of 39 patients with low insulin secretion, we performed genetic testing on 12 patients. We found five monogenetic defects (ABCC8 (<span><svg height=\\\"8.55521pt\\\" style=\\\"vertical-align:-0.2063904pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 17.789 8.55521\\\" width=\\\"17.789pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,10.158,0)\\\"></path></g></svg><span></span><span><svg height=\\\"8.55521pt\\\" style=\\\"vertical-align:-0.2063904pt\\\" version=\\\"1.1\\\" viewbox=\\\"21.3711838 -8.34882 6.416 8.55521\\\" width=\\\"6.416pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,21.421,0)\\\"></path></g></svg>),</span></span> GCK (<span><svg height=\\\"8.55521pt\\\" style=\\\"vertical-align:-0.2063904pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 17.789 8.55521\\\" width=\\\"17.789pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-111\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,10.158,0)\\\"><use xlink:href=\\\"#g117-34\\\"></use></g></svg><span></span><span><svg height=\\\"8.55521pt\\\" style=\\\"vertical-align:-0.2063904pt\\\" version=\\\"1.1\\\" viewbox=\\\"21.3711838 -8.34882 6.416 8.55521\\\" width=\\\"6.416pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,21.421,0)\\\"></path></g></svg>),</span></span> and GLI2/PTF1A (<span><svg height=\\\"8.55521pt\\\" style=\\\"vertical-align:-0.2063904pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 17.789 8.55521\\\" width=\\\"17.789pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-111\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,10.158,0)\\\"><use xlink:href=\\\"#g117-34\\\"></use></g></svg><span></span><span><svg height=\\\"8.55521pt\\\" style=\\\"vertical-align:-0.2063904pt\\\" version=\\\"1.1\\\" viewbox=\\\"21.3711838 -8.34882 6.416 8.55521\\\" width=\\\"6.416pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,21.421,0)\\\"><use xlink:href=\\\"#g113-50\\\"></use></g></svg>))</span></span>. <i>Conclusion</i>. Using surrogate parameters of beta-cell function and insulin resistance can help identify patients with insulin secretion disorder. A prevalence of 40% mutations of known diabetes genes in the subgroup with low insulin secretion suggests that at least 1.7% of patients with adolescent obesity have monogenic diabetes. 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引用次数: 0

摘要

导言。儿童肥胖症在全球范围内呈上升趋势,并因多种代谢并发症而成为一个全球性健康问题。约有 1% 的肥胖青少年会患上 2 型糖尿病 (T2D);然而,人们对肥胖青少年的遗传和病理生理背景知之甚少。本研究的目的是评估一大批肥胖儿童和青少年中葡萄糖调节受损(IGR)的患病率,并描述胰岛素敏感性和胰岛素分泌的特征。我们还希望对患有胰岛素分泌障碍的青少年进行更深入的调查,并在一个子队列中分析糖尿病的可能候选基因。研究方法我们纳入了在门诊完成口服葡萄糖耐量试验(OGTT)的肥胖儿童和青少年。我们计算了松田指数、曲线下面积(AUC (Ins/Glu))和口服处置指数(ISSI-2),以估计胰岛素抵抗和β细胞功能。我们确定了 IGR 和低胰岛素分泌(胰岛素最大分泌量为 mU/l)患者,并使用新一代测序技术检测了一个亚组,以确定 103 个候选基因中可能存在的突变。结果。全组共有 903 名肥胖儿童和青少年。空腹血糖受损者占 4.5%,糖耐量受损者占 9.4%,T2D 患者占 1.2%。松田指数和总AUC(Ins/Glu)呈双曲线关系。在 39 名胰岛素分泌过少的患者中,我们对 12 名患者进行了基因检测。我们发现了五种单基因缺陷(ABCC8()、GCK()和 GLI2/PTF1A())。结论使用β细胞功能和胰岛素抵抗的替代参数有助于识别胰岛素分泌障碍患者。在胰岛素分泌低下的亚组中,已知糖尿病基因突变的发生率为 40%,这表明至少有 1.7% 的青少年肥胖症患者患有单基因糖尿病。成功的分子基因诊断有助于改善个体治疗。
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Insulin Secretion Defect in Children and Adolescents with Obesity: Clinical and Molecular Genetic Characterization
Introduction. Childhood obesity is increasing worldwide and presents as a global health issue due to multiple metabolic comorbidities. About 1% of adolescents with obesity develop type 2 diabetes (T2D); however, little is known about the genetic and pathophysiological background at young age. The objective of this study was to assess the prevalence of impaired glucose regulation (IGR) in a large cohort of children and adolescents with obesity and to characterize insulin sensitivity and insulin secretion. We also wanted to investigate adolescents with insulin secretion disorder more closely and analyze possible candidate genes of diabetes in a subcohort. Methods. We included children and adolescents with obesity who completed an oral glucose tolerance test (OGTT, ) in the outpatient clinic. We calculated Matsuda index, the area under the curve (AUC (Ins/Glu)), and an oral disposition index (ISSI-2) to estimate insulin resistance and beta-cell function. We identified patients with IGR and low insulin secretion (maximum insulin during  mU/l) and tested a subgroup using next generation sequencing to identify possible mutations in 103 candidate genes. Results. The total group consisted of 903 children and adolescents with obesity. 4.5% showed impaired fasting glucose, 9.4% impaired glucose tolerance, and 1.2% T2D. Matsuda index and Total AUC (Ins/Glu) showed a hyperbolic relationship. Out of 39 patients with low insulin secretion, we performed genetic testing on 12 patients. We found five monogenetic defects (ABCC8 (), GCK (), and GLI2/PTF1A ()). Conclusion. Using surrogate parameters of beta-cell function and insulin resistance can help identify patients with insulin secretion disorder. A prevalence of 40% mutations of known diabetes genes in the subgroup with low insulin secretion suggests that at least 1.7% of patients with adolescent obesity have monogenic diabetes. A successful molecular genetic diagnosis can help to improve individual therapy.
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来源期刊
Journal of Diabetes Research
Journal of Diabetes Research ENDOCRINOLOGY & METABOLISM-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
8.40
自引率
2.30%
发文量
152
审稿时长
14 weeks
期刊介绍: Journal of Diabetes Research is a peer-reviewed, Open Access journal that publishes research articles, review articles, and clinical studies related to type 1 and type 2 diabetes. The journal welcomes submissions focusing on the epidemiology, etiology, pathogenesis, management, and prevention of diabetes, as well as associated complications, such as diabetic retinopathy, neuropathy and nephropathy.
期刊最新文献
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