Xiaomeng Shi, Lu Zhang, Xing Chen, Peijin Bai, Leping Shao
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The younger group (≤ 16 years) had more frequent febrile episodes (20.4% vs. 4.3%, P = 0.028) and nausea/vomiting (12.2% vs. 0.0%, P = 0.027) but fewer paresthesia/numbness (20.4% vs. 43.5%, P = 0.026) and palpitations (8.2% vs. 37.0%, P = 0.001), along with higher serum potassium and magnesium levels (2.86 ± 0.45 mmol/L vs. 2.67 ± 0.38 mmol/L, P = 0.034; 0.65 ± 0.14 mmol/L vs. 0.58 ± 0.16 mmol/L, P = 0.031) than the older group (> 16 years). Moreover, serum potassium and magnesium levels were positively correlated and both were negatively correlated with age. Additionally, Among 170 detected SLC12A3 variants, 73 distinct variants were identified, including six novel ones. The compound heterozygous group exhibited higher serum magnesium levels compared to the heterozygous and homozygous groups (0.65 ± 0.17 mmol/L vs. 0.56 ± 0.09 mmol/L, P = 0.015; 0.65 ± 0.17 mmol/L vs. 0.51 ± 0.07 mmol/L, P < 0.001). Age at diagnosis was associated with variant types.</p><p><strong>Conclusion: </strong>The study characterized the phenotypic and genotypic features of Chinese GS patients, highlighting age and mutation genotype as key factors influencing phenotype, underscoring the importance of standardized potassium and magnesium supplementation, and expanding the known mutation spectrum with novel variants.</p>","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":"19 1","pages":"114"},"PeriodicalIF":4.3000,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12506394/pdf/","citationCount":"0","resultStr":"{\"title\":\"Novel clinical and genetic insights into Gitelman syndrome from 95 Chinese patients.\",\"authors\":\"Xiaomeng Shi, Lu Zhang, Xing Chen, Peijin Bai, Leping Shao\",\"doi\":\"10.1186/s40246-025-00828-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Gitelman syndrome (GS) is a rare tubulopathy with clinical and genetic heterogeneity. This study aimed to investigate the characteristics of Chinese GS patients.</p><p><strong>Methods: </strong>The diagnosis of GS was established by combining clinical phenotypes with genetic testing, after which the clinical, biochemical, and genetic data were statistically analyzed.</p><p><strong>Results: </strong>We reported 95 Chinese GS patients aged 2-52 years. The younger group (≤ 16 years) had more frequent febrile episodes (20.4% vs. 4.3%, P = 0.028) and nausea/vomiting (12.2% vs. 0.0%, P = 0.027) but fewer paresthesia/numbness (20.4% vs. 43.5%, P = 0.026) and palpitations (8.2% vs. 37.0%, P = 0.001), along with higher serum potassium and magnesium levels (2.86 ± 0.45 mmol/L vs. 2.67 ± 0.38 mmol/L, P = 0.034; 0.65 ± 0.14 mmol/L vs. 0.58 ± 0.16 mmol/L, P = 0.031) than the older group (> 16 years). Moreover, serum potassium and magnesium levels were positively correlated and both were negatively correlated with age. Additionally, Among 170 detected SLC12A3 variants, 73 distinct variants were identified, including six novel ones. The compound heterozygous group exhibited higher serum magnesium levels compared to the heterozygous and homozygous groups (0.65 ± 0.17 mmol/L vs. 0.56 ± 0.09 mmol/L, P = 0.015; 0.65 ± 0.17 mmol/L vs. 0.51 ± 0.07 mmol/L, P < 0.001). 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引用次数: 0
摘要
背景:Gitelman综合征(GS)是一种罕见的临床和遗传异质性的小管病变。本研究旨在探讨中国GS患者的特点。方法:采用临床表型与基因检测相结合的方法建立对GS的诊断,并对临床、生化、遗传学资料进行统计分析。结果:我们报告了95例年龄2-52岁的中国GS患者。年轻组(≤16年)更频繁的发热(20.4%比4.3%,P = 0.028)和恶心/呕吐(12.2%比0.0%,P = 0.027),但是更少的感觉异常/麻木(20.4%比43.5%,P = 0.026)和心悸(8.2%比37.0%,P = 0.001),连同血清钾和镁水平较高(2.86±0.45更易更易/ L L和2.67±0.38,P = 0.034; 0.65±0.14更易更易/ L L和0.58±0.16,P = 0.031)比年长组(> 16年)。血清钾、镁水平与年龄呈正相关,与年龄负相关。此外,在检测到的170个SLC12A3变异中,鉴定出73个不同的变异,其中包括6个新变异。复合杂合子组血清镁水平高于杂合子组和纯合子组(0.65±0.17 mmol/L vs. 0.56±0.09 mmol/L, P = 0.015;结论:本研究明确了中国GS患者的表型和基因型特征,强调了年龄和突变基因型是影响表型的关键因素,强调了标准化钾镁补充的重要性,扩大了已知突变谱,发现了新的变异。
Novel clinical and genetic insights into Gitelman syndrome from 95 Chinese patients.
Background: Gitelman syndrome (GS) is a rare tubulopathy with clinical and genetic heterogeneity. This study aimed to investigate the characteristics of Chinese GS patients.
Methods: The diagnosis of GS was established by combining clinical phenotypes with genetic testing, after which the clinical, biochemical, and genetic data were statistically analyzed.
Results: We reported 95 Chinese GS patients aged 2-52 years. The younger group (≤ 16 years) had more frequent febrile episodes (20.4% vs. 4.3%, P = 0.028) and nausea/vomiting (12.2% vs. 0.0%, P = 0.027) but fewer paresthesia/numbness (20.4% vs. 43.5%, P = 0.026) and palpitations (8.2% vs. 37.0%, P = 0.001), along with higher serum potassium and magnesium levels (2.86 ± 0.45 mmol/L vs. 2.67 ± 0.38 mmol/L, P = 0.034; 0.65 ± 0.14 mmol/L vs. 0.58 ± 0.16 mmol/L, P = 0.031) than the older group (> 16 years). Moreover, serum potassium and magnesium levels were positively correlated and both were negatively correlated with age. Additionally, Among 170 detected SLC12A3 variants, 73 distinct variants were identified, including six novel ones. The compound heterozygous group exhibited higher serum magnesium levels compared to the heterozygous and homozygous groups (0.65 ± 0.17 mmol/L vs. 0.56 ± 0.09 mmol/L, P = 0.015; 0.65 ± 0.17 mmol/L vs. 0.51 ± 0.07 mmol/L, P < 0.001). Age at diagnosis was associated with variant types.
Conclusion: The study characterized the phenotypic and genotypic features of Chinese GS patients, highlighting age and mutation genotype as key factors influencing phenotype, underscoring the importance of standardized potassium and magnesium supplementation, and expanding the known mutation spectrum with novel variants.
期刊介绍:
Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics.
Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.