scholarly journals A Functional Polymorphism (rs6265, G>A) of Brain-Derived Neurotrophic Factor Gene and Breast Cancer: An Association Study

2019 ◽  
Vol 13 ◽  
pp. 117822341984497 ◽  
Author(s):  
Mehir un Nisa Iqbal ◽  
Tahniyat Yaqoob ◽  
Syed Adnan Ali ◽  
Taseer Ahmed Khan

Purpose: The objective of this study was to evaluate the relationship between brain-derived neurotrophic factor (BDNF) gene (Val66Met, rs6265, G>A) polymorphism and breast cancer (BC) among females of Southern Pakistan. Methods: This case-control study consisted of 300 females (BC cases [n = 100] and controls [n = 200]) with age range of 18 to 45 years. All participants were recruited during January to December 2014 and were screened for depression using Zung depression scale. Isolation of genomic DNA (gDNA) followed by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis was done. All statistical analysis was carried out on IBM-SPSS version 22 at P-value <.05. Hardy-Weinberg equilibrium (HWE), Pearson chi-square, and odds ratios (ORs) with 95% confidence interval (95% CI) were calculated. Results: Genotype distribution of BDNF gene polymorphism lies in the goodness-of-fit model among controls. The statistical analyses reveal a significant association between genotype frequencies (χ2 = 12.709, P-value = .002) of BDNF and BC among cases and controls. The AA genotype (OR = 5.2, 95%CI = 0.632-42.804) increases the risk of having BC. Conclusions: Our results suggest that BDNF gene polymorphism may have an association with BC risk among Pakistani females. However, the present finding needs to be replicated with greater sample size with BC risk.

BioSight ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 11-15
Author(s):  
Mehir un Nisa Iqbal ◽  
Fatima Noor ◽  
Taseer Khan

The premenstrual syndrome (PMS) comprises various physical and emotional symptoms which are associated with the menstrual cycle. The emotional changes might be due to the variation in the levels of BDNF especially lower levels of plasma BDNF may be present at the luteal phase of menstrual cycle. To date, no data were present to associate the link between BDNF gene polymorphism and PMS among young Menarcheal females. So, the goal of this investigation is to find out the possible relationship between BDNF gene polymorphism and PMS among young Menarcheal females of Pakistan. A total of 92 menarcheal girls with age range of 11-14yrs met the inclusion criteria. All participants were screened for the depression and PMS using Zung’s depression scale/ Diagnostic and Statistical Manual of Mental Disorders-IV (DSM IV) criteria and world health organization (WHO) criteria for PMS respectively. Genomic DNA was extracted from oral samples by Salting out method and BDNF genotyping was done using PCR-RFLP analysis. Results showed no significant association (χ2=1.685, p-value=0.431) was observed between BDNF genotyping and PMS among menarcheal girls. BDNF (rs6265) AA and GA genotypes did not show significant association with the risk of PMS. Hence, it was concluded that BDNF gene polymorphism may not be associated with the PMS among Pakistani Menarcheal girls


Author(s):  
Snehlata Pandey ◽  
Arvind Tripathi ◽  
Jitendra Tripathi ◽  
Sanjeev Dubey

<p class="abstract"><strong>Background:</strong> The human gene, CYP1A1, encodes a member of the cytochrome P450 superfamily of enzymes. Cytochrome P450 (CYP1A1) enzymes are involved in the oxidative metabolism of endogenous compounds such as steroids, fatty acids, leukotrienes, prostaglandins, in the metabolism of foreign chemicals such as drugs, carcinogens, and other environmental pollutants and in polycyclic hydrocarbon metabolism. This was the first study done in the region of vindhyan Madhya Pradesh.</p><p class="abstract"><strong>Methods:</strong> The study population included total 300 samples from random population patients and normal healthy individuals (between 192 urban’s and 108 tribals). Physical data was collected during the sample collection.Genetic polymorphism study was carried out by using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method and the observed genotype frequencies, allele frequencies and P- value for CYP1A1 gene polymorphism. All the statistical analyses were performed using spss software.</p><p class="abstract"><strong>Results:</strong> The genotype distribution pattern was not found different between tribal’s and urban population (χ2 =1.434 and P Value=0.4882) and overall allele frequency was also not statistically significant between two respective groups. Smoking and drinking activity data was generated through questionnaire organized during Sampling and the findings suggest that smoking have high effect over CYP1A1 gene polymorphism susceptibility.</p><strong>Conclusions: </strong>The genotype distribution pattern was not found different between tribal’s and urban population (χ2=1.434 and P Value=0.4882) and overall allele frequency was also not statistically significant between two respective groups.


2011 ◽  
Vol 23 (5) ◽  
pp. 229-234 ◽  
Author(s):  
Xiao-bin Zhang ◽  
Xin Wang ◽  
Wei-wei Sha ◽  
Hong-hui Zhou ◽  
Yu-mei Zhang

Zhang X, Wang X, Sha W, Zhou H, Zhang Y. Val66Met polymorphism and serum brain-derived neurotrophic factor concentration in depressed patients.Objective: Accumulating evidence has suggested a pathophysiological role for brain-derived neurotrophic factor (BDNF) in major depressive disorder (MDD). The present study evaluated serum levels of BDNF and explored whether Val66Met BDNF gene polymorphism is correlated with changes in circulating BDNF levels in patients with MDD and control subjects.Methods: Subjects were 76 patients with MDD and 50 controls. Diagnosis of MDD was determined by the use of a structured clinical interview according to Diagnostic and Statistical Manual of Mental Disorder-IV (DSM-IV) criteria. The concentrations of BDNF were measured by using the enzyme-linked immunosorbent assay. The Val66Met BDNF gene polymorphism was examined by the polymerase chain reaction technique.Results: Serum BDNF was significantly lower in MDD patients than in normal control subjects (p < 0.001). There were no significant differences either in allele or genotype in the Val66Met polymorphism between the MDD and control groups. Moreover, genotype did not significantly correlate with the BDNF serum levels in the MDD or control groups.Conclusions: Our study suggests that there is a decrease in serum BDNF levels in untreated MDD patients. However, serum BDNF levels were not associated with the Val66Met polymorphism.


2011 ◽  
Vol 26 (S2) ◽  
pp. 863-863 ◽  
Author(s):  
Z. Yi ◽  
S. Yu ◽  
Y. Fang

BackgroundBrain-derived neurotrophic factor (BDNF) gene may be involved in the pathogenesis of schizophrenia by virtue of its effects on neurotransmitter systems that are dysregulated in psychiatric disorder. The common functional polymorphism Val66Met (or rs6265) within the BDNF gene has been reported to be associated with age of onset in schizophrenia. We investigated the relationship between BDNF polymorphisms rs6265 and rs11030101 and early-onset schizophrenia in the Chinese population.Subjects and methodsThe tag single nucleotide polymorphisms (tag SNPs) rs11030101 and rs6265 in the BDNF gene were genotyped in 360 early-onset schizophrenics and 399 controls subjects. Single nucleotide polymorphism association and haplotype analysis were performed.ResultsThere were significant differences in allele and genotype frequencies between patient and normal control subjects for rs11030101 (χ2 = 5.130407, df = 1, p = 0.023553; χ2 = 6.121, df = 2, p = 0.047). No statistically significant differences were found in allele or genotype between patient and normal control subjects for rs6265. Stratification of the study by gender of the samples yielded significant evidence for an association with the polymorphisms rs11030101 in female population (genotype-wise: χ2 = 7.758, df = 2, p = 0.021).ConclusionsOur study indicates that the BDNF play major roles in the susceptibility to early-onset and female schizophrenia in the Chinese population.


2007 ◽  
Author(s):  
Scott H. Fraundorf ◽  
Brad E. Sheese ◽  
Lauren K. White ◽  
Mary K. Rothbart ◽  
Michael I. Posner

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