实用医学杂志 ›› 2025, Vol. 41 ›› Issue (19): 3060-3064.doi: 10.3969/j.issn.1006-5725.2025.19.015

• 临床研究 • 上一篇    

痛风基因多态性在佛山痛风人群中的表型关联分析

郭奇虹1,郑宝林1,李婷1,蒋雨彤2,陈君立1,李远艺3,杨海梅1,卢俊光1()   

  1. 1.广州中医院大学第八临床医学院(佛山市中医院),风湿免疫科,(广东 佛山 528000 )
    3.广州中医院大学第八临床医学院(佛山市中医院),病案统计室,(广东 佛山 528000 )
    2.中山大学附属第三医院风湿免疫科 (广东 广州 510000 )
  • 收稿日期:2025-07-23 出版日期:2025-10-10 发布日期:2025-10-10
  • 通讯作者: 卢俊光 E-mail:156746957@qq.com
  • 基金资助:
    广东省基础与应用基础研究基金项目(2024A1515012734);佛山市科技创新项目(2220001004676);佛山市“十四五”医学重点专科和培育专科建设项目(FSGSP145044)

To investigate the association between gout⁃related gene polymorphisms and clinical phenotypic heterogeneity in gout patients from the Foshan region

Qihong GUO1,Baolin ZHENG1,Ting LI1,Yutong JIANG2,Junli CHEN1,Yuanyi LI3,Haimei YANG1,Junguang. LU1()   

  1. *.Department of Rheumatology and Immunology,the Eighth Clinical Medical College of Guangzhou University of Chinese Medicine,Foshan Hospital of Traditional Chinese Medicine,Foshan 528000,Guangdong,China
  • Received:2025-07-23 Online:2025-10-10 Published:2025-10-10
  • Contact: Junguang. LU E-mail:156746957@qq.com

摘要:

目的 探讨痛风基因多态性与佛山地区痛风患者临床表型异质性的关联性,为临床分层治疗策略提供科学依据。 方法 纳入2022年6月至2025年5月于佛山市中医院就诊的痛风患者125例为研究对象,收集其一般资料、发作频率、有无痛风石、尿酸、肌酐、C反应蛋白(C-reactive protein, CRP)、红细胞沉降率(erythrocyte sedimentation rate, ESR)、痛风基因、肌骨彩超等变量,采用等级相关对变量做相关性分析,探索痛风基因多态性与佛山市痛风人群临床表型异质性的关联。 结果 入组患者男女比例为11?1,年龄(35.28 ± 2.67)岁,病程(6.03 ± 0.68)年,最近12个月急性发作次数4(2.0,7.25)次。ABCG2基因野生型(C/C)、半突变(C/A)及全突变(A/A)百分比为:23.8%、53.2%、23.0%;SLC2A9基因野生型(A/A)、半突变(A/G)及全突变(G/G)百分比为:24.6%、50.0%、25.4%;SLC22A12基因野生型(A/A)、半突变(A/C)及全突变(C/C)百分比为:4.8%、31.7%、63.5%;MTHFR基因野生型(C/C)、半突变(C/T)及全突变(T/T)百分比为:68.3%、28.6%、3.2%。等级相关提示SLC2A9基因与痛风患者并发痛风石、肌骨彩超结晶沉积风险显著相关(ρ = 0.193,P = 0.031;ρ = 0.202,P = 0.025),SLC22A12基因多态性异常与痛风患者高血压、糖尿病发生相关(ρ = 0.269,P = 0.003;ρ = 0.200,P = 0.026)。同时,MTHFR基因多态性异常也与痛风患者糖尿病发生相关(ρ = 0.224,P = 0.012)。 结论 SLC2A9SLC22A12MTHFR等基因多态性与痛风患者的临床表现显著相关,提示通过基因检测可实现痛风高风险并发症的早期识别及分层管理,并为个体化药物治疗提供重要参考依据。

关键词: 痛风, 基因多态性, 临床分层管理, 并发症预警

Abstract:

Objective To investigate the association between gout-related gene polymorphisms and clinical phenotypic heterogeneity among gout patients in the Foshan region, thereby providing a scientific basis for stratified clinical management. Methods A total of 125 gout patients diagnosed at the Foshan Hospital of Traditional Chinese Medicine between June 2022 and May 2025 were enrolled in this study. The collected data included demographic characteristics, frequency of gout attacks, presence of tophi, levels of uric acid, creatinine, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), gout-related genes (ABCG2SLC2A9SLC22A12MTHFR), and joint ultrasound findings. Group comparisons and rank correlation analyses were conducted to explore potential associations between gene polymorphisms and clinical heterogeneity. Results The male-to-female ratio was 11∶1; the mean age was (35.28 ± 2.67) years; the mean disease duration was (6.03 ± 0.68) years; and the mean frequency of acute attacks in the past 12 months was 4 (2.0, 7.25). Genotype distributions were as follows: ABCG2: wild-type (C/C), 23.8%; heterozygous (C/A), 53.2%; homozygous (A/A), 23%. SLC2A9: wild-type (A/A), 24.6%; heterozygous (A/G), 50%; homozygous (G/G), 25.4%. SLC22A12: wild-type (A/A), 4.8%; heterozygous (A/C), 31.7%; homozygous (C/C), 63.5%. MTHFR: wild-type (C/C), 68.3%; heterozygous (C/T), 28.6%; homozygous (T/T), 3.2%. Rank correlation analysis revealed that SLC2A9 polymorphisms were significantly correlated with tophi formation (ρ = 0.193, P = 0.031) and crystal deposition on ultrasound (ρ = 0.202, P = 0.025). SLC22A12 polymorphisms were associated with hypertension (ρ = 0.269, P = 0.003) and diabetes (ρ = 0.200, P = 0.026). MTHFR polymorphisms showed a correlation with diabetes (ρ = 0.224, P = 0.012). Conclusions Polymorphisms in SLC2A9SLC22A12, and MTHFR are significantly linked to clinical phenotypic heterogeneity among gout patients. Genetic testing could facilitate the early identification of individuals at high risk for complications and support the development of stratified and individualized treatment approaches.

Key words: gout, gene polymorphism, stratified clinical management, complication alerts

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