Literature DB >> 24648951

Meta-analysis of the urokinase gene 3'-UTR T/C polymorphism and susceptibility to urolithiasis.

Dawei Li1, Jikai Liu2, Juchao Ren2, Lei Yan2, Hainan Liu2, Zhonghua Xu2.   

Abstract

Urokinase is involved in the processes of initiating urinary stones. Several published case-control studies have examined the relationship of urokinase gene 3'-untranslated region (3'-UTR) T/C polymorphism and urolithiasis, but yielded inconsistent findings. In this study, a comprehensive meta-analysis was conducted by pooling relevant studies to obtain reliable conclusions. Studies focusing on the association between urokinase gene 3'-UTR T/C polymorphism and urolithiasis were retrieved through PubMed, Medline, Web of Science and the China National Knowledge Infrastructure platform without any limit on language, until October 2012. Four independent articles were eventually identified as eligible for the final meta-analysis, involving 1,195 subjects. Crude odds ratios (ORs), as well as 95% confidence intervals (CIs), were assessed for the association by either fixed- or random-effects models using RevMan 5.0 software. Significant associations were noted in the 'TC vs. CC' codominant model for total population (OR=2.53; 95% CI, 1.43-4.46; P=0.001), Asian population (OR=2.46; 95% CI, 1.38-4.40; P=0.002), male (OR=2.98; 95% CI, 1.43-6.21; P=0.004), Hardy-Weinberg equilibrium (HWE) (OR=2.46; 95% CI, 1.38-4.40; P=0.002) and recurrence (OR=2.66; 95% CI, 1.51-4.67; P=0.00). Statistically significant associations were also observed in the 'TT+TC vs. CC' dominant model for the Asian, male, HWE and recurrence population (P<0.05). Additionally, a significant difference was detected in the 'T vs. C' allele model for HWE. However, there were no associations in either the 'TT vs. CC' codominant model or 'TT vs. TC+CC' recessive model. In conclusion, the present meta-analysis suggests that urokinase gene T allele may increase the susceptibility of urolithiasis.

Entities:  

Keywords:  meta-analysis; polymorphism; urokinase; urolithiasis

Year:  2013        PMID: 24648951      PMCID: PMC3917092          DOI: 10.3892/br.2013.73

Source DB:  PubMed          Journal:  Biomed Rep        ISSN: 2049-9434


  28 in total

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2.  Association between the T-593A and C6982T polymorphisms of the osteopontin gene and risk of developing nephrolithiasis.

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Journal:  Arch Med Res       Date:  2010-08       Impact factor: 2.235

3.  Epidemiological studies on the prevalence of upper urinary calculi in Taiwan.

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Journal:  Urol Int       Date:  2002       Impact factor: 2.089

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Journal:  Med Hypotheses       Date:  1997-07       Impact factor: 1.538

6.  Predicting five-year recurrence rates of kidney stones: an artificial neural network model.

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Journal:  Arch Ital Urol Androl       Date:  2011-03

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Journal:  Histochem Cell Biol       Date:  1996-01       Impact factor: 4.304

9.  Interleukin-1β, calcium-sensing receptor, and urokinase gene polymorphisms in korean patients with urolithiasis.

Authors:  Joon-Young Kim; Young-Sun Kim; In-Ho Chang; In-Ho Jang; Jae-Dong Jung; Tae-Hyoung Kim; Hye-Ryun Kim
Journal:  Korean J Urol       Date:  2011-05-24

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  5 in total

1.  Genetic Polymorphisms and Kidney Stones Around the Globe: A Systematic Review and Meta-Analysis.

Authors:  Abdolreza Mohammadi; Alireza Namazi Shabestari; Leila Zareian Baghdadabad; Fatemeh Khatami; Leonardo Oliveira Reis; Mahin Ahmadi Pishkuhi; Seyed Mohammad Kazem Aghamir
Journal:  Front Genet       Date:  2022-06-30       Impact factor: 4.772

Review 2.  Roles of osteopontin gene polymorphism (rs1126616), osteopontin levels in urine and serum, and the risk of urolithiasis: a meta-analysis.

Authors:  Xiao Li; Kang Liu; Yongsheng Pan; Jing Zhang; Qiang Lv; Lixin Hua; Zengjun Wang; Jie Li; Changjun Yin
Journal:  Biomed Res Int       Date:  2015-02-15       Impact factor: 3.411

Review 3.  The G allele of CaSR R990G polymorphism increases susceptibility to urolithiasis and hypercalciuria: evidences from a comprehensive meta-analysis.

Authors:  Kang Liu; Xiaolan Wang; Jiaxin Ye; Chao Qin; Pengfei Shao; Wei Zhang; Jie Li; Changjun Yin
Journal:  Biomed Res Int       Date:  2015-02-01       Impact factor: 3.411

4.  Risk factors of kidney stone disease: a cross-sectional study in the southeast of Iran.

Authors:  Parvin Khalili; Zahra Jamali; Tabandeh Sadeghi; Ali Esmaeili-Nadimi; Maryam Mohamadi; Amir Moghadam-Ahmadi; Fatemeh Ayoobi; Alireza Nazari
Journal:  BMC Urol       Date:  2021-10-08       Impact factor: 2.264

Review 5.  Genetics of kidney stone disease.

Authors:  Sarah A Howles; Rajesh V Thakker
Journal:  Nat Rev Urol       Date:  2020-06-12       Impact factor: 14.432

  5 in total

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