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Vascular endothelial growth factor G1612A (rs10434) gene polymorphism and neuropsychiatric manifestations in systemic lupus erythematosus patients

Overview of attention for article published in Advances in Rheumatology, December 2016
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Title
Vascular endothelial growth factor G1612A (rs10434) gene polymorphism and neuropsychiatric manifestations in systemic lupus erythematosus patients
Published in
Advances in Rheumatology, December 2016
DOI 10.1016/j.rbre.2016.11.007
Pubmed ID
Authors

Sherif Taha, Sherif Mohammed Gamal, Mohamed Nabil, Nahla Naeem, Dalia Labib, Ibrahim Siam, Tamer Atef Gheita

Abstract

To investigate the relation between vascular endothelial growth factor (VEGF) gene polymorphism in systemic lupus erythematosus (SLE) patients and lupus related neuropsychiatric manifestations. Sixty adult SLE patients recruited from the Rheumatology and Neurology departments of Cairo University hospitals were classified into two groups; Group A: 30 patients with neuropsychiatric manifestations (NPSLE) and Group B: 30 patients without. For both groups the SNP G1612A (rs10434) of the VEGF gene was genotyped by real time polymerase chain reaction (RT-PCR). Statistically significant difference was found in genotype and allele frequencies between both groups (AA [70% vs 13.3%, p<0.001] and GG [10% vs 66.7%, p<0.001]). Polymorphism in the gene coding for VEGF may be associated with increased incidence of neuropsychiatric lupus in SLE patients.

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The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 25%
Researcher 3 15%
Lecturer 2 10%
Professor 2 10%
Student > Ph. D. Student 2 10%
Other 3 15%
Unknown 3 15%
Readers by discipline Count As %
Medicine and Dentistry 8 40%
Biochemistry, Genetics and Molecular Biology 3 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Engineering 1 5%
Unknown 6 30%