scholarly journals Association of PICK1 and BDNF variations with increased risk of methamphetamine dependence among Iranian population: a case–control study

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Amir Tajbakhsh ◽  
Maliheh Alimardani ◽  
Mahla Asghari ◽  
Soheila Abedini ◽  
Sohrab Saghafi Khadem ◽  
...  

Abstract Background Genetic factors play an important role in susceptibility to methamphetamine dependency. In this line, protein that interact with C-kinase-1 (PICK1) and brain-derived neurotrophic factor (BDNF) genes are linked to methamphetamine dependence (substance use disorder). Thus, in a case–control study, we investigated the association between polymorphisms of PICK1 and BDNF genes and methamphetamine dependence in an Iranian population. Methods Total of 235 cases and 204 controls were recruited in a period between 2015 to 2018. The PICK1-rs713729, -rs2076369 and BDNF-rs6265 genotypes were determined via ARMS-PCR assay. Statistical analysis was performed, using SPSS 20.0, PHASE 2.1.1 program as well as SNP Analyzer 2.0. Results In the present study, two polymorphisms including PICK1-rs713729 (OR 1.38 (CI 1.08–1.52; P-value 0.004) in multiplicative and dominant models, and PICK1-rs2076369 (OR 1.31 (CI 1.10–1.56; P-value 0.002) in multiplicative, dominant and co-dominant models were associated with the risk of methamphetamine abuse. Moreover, haplotype analysis showed a significant association of haplotype AG (OR 2.50 (CI 1.50–4.16; P-value 0.0002) in dominant, recessive and co-dominant models, and haplotype TT (OR 0.67 (CI 0.50–0.91; P-value 0.009) in dominant and co-dominant models with the risk of methamphetamine abuse. None of the polymorphisms in this study had a high level of linkage disequilibrium. Conclusion Our findings indicate that the PICK1 gene polymorphism might affect the risk of methamphetamine dependency in our population.

2020 ◽  
Author(s):  
Amir Tajbakhsh ◽  
Maliheh Alimardani ◽  
Mahla Asghari ◽  
Soheila Abedini ◽  
Sohrab Saghafi Khadem ◽  
...  

Abstract Background: Genetic factors play an important role in susceptibility to methamphetamine dependency. In this line, protein that interact with C-kinase-1 (PICK1) and brain-derived neurotrophic factor (BDNF) genes are linked to methamphetamine dependence (substance use disorder). Thus, in a case-control study, we investigated the association between polymorphisms of PICK1 and BDNF genes and methamphetamine dependence in an Iranian population.Methods: Total of 235 cases and 204 controls were recruited in a period between 2015 to 2018. The PICK1-rs713729, -rs2076369 and BDNF-rs6265 genotypes were determined via ARMS-PCR assay. Statistical analysis was performed, using SPSS 20.0, PHASE 2.1.1 program as well as SNP Analyzer 2.0.Results: In the present study, two polymorphisms including PICK1-rs713729 (OR: 1.38 (CI: 1.08-1.52; P-value: 0.004) in multiplicative and dominant models, and PICK1-rs2076369 (OR: 1.31 (CI: 1.10-1.56; P-value: 0.002) in multiplicative, dominant and co-dominant models were associated with the risk of methamphetamine abuse. Moreover, haplotype analysis showed a significant association of haplotype AG (OR: 2.50 (CI: 1.50-4.16; P-value: 0.0002) in dominant, recessive and co-dominant models, and haplotype TT (OR: 0.67 (CI: 0.50-0.91; P-value: 0.009) in dominant and co-dominant models with the risk of methamphetamine abuse. None of the polymorphisms in this study had a high level of linkage disequilibrium. Conclusion: Our findings indicate that the PICK1 gene polymorphism might affect the risk of methamphetamine dependency in our population.


2021 ◽  
Author(s):  
Amir Tajbakhsh ◽  
Maliheh Alimardani ◽  
Mahla Asghari ◽  
Soheila Abedini ◽  
Sohrab Saghafi Khadem ◽  
...  

Abstract Background Genetic factors play an important role in susceptibility to methamphetamine dependency. In this line, protein that interact with C-kinase-1 (PICK1) and brain-derived neurotrophic factor (BDNF) genes are linked to methamphetamine dependence (substance use disorder). Thus, in a case-control study, we investigated the association between polymorphisms of PICK1 and BDNF genes and methamphetamine dependence in an Iranian population. Methods Total of 235 cases and 204 controls were recruited in a period between 2015 to 2018. The PICK1-rs713729, -rs2076369 and BDNF-rs6265 genotypes were determined via ARMS-PCR assay. Statistical analysis was performed, using SPSS 20.0, PHASE 2.1.1 program as well as SNP Analyzer 2.0. Results In the present study, two polymorphisms including PICK1-rs713729 (OR: 1.38 (CI: 1.08–1.52; P-value: 0.004) in multiplicative and dominant models, and PICK1-rs2076369 (OR: 1.31 (CI: 1.10–1.56; P-value: 0.002) in multiplicative, dominant and co-dominant models were associated with the risk of methamphetamine abuse. Moreover, haplotype analysis showed a significant association of haplotype AG (OR: 2.50 (CI: 1.50–4.16; P-value: 0.0002) in dominant, recessive and co-dominant models, and haplotype TT (OR: 0.67 (CI: 0.50–0.91; P-value: 0.009) in dominant and co-dominant models with the risk of methamphetamine abuse. None of the polymorphisms in this study had a high level of linkage disequilibrium. Conclusion Our findings indicate that the PICK1 gene polymorphism might affect the risk of methamphetamine dependency in our population.


2020 ◽  
Author(s):  
Amir Tajbakhsh ◽  
Maliheh Alimardani ◽  
Mahla Asghari ◽  
Soheila Abedini ◽  
Sohrab Saghafi Khadem ◽  
...  

Abstract Background: Genetic factors play an important role in susceptibility to methamphetamine dependency. In this line, protein that interact with C-kinase-1 (PICK1) and brain-derived neurotrophic factor (BDNF) genes are linked to methamphetamine dependence (substance use disorder). Thus, in a case-control study, we investigated the association between polymorphisms of PICK1 and BDNF genes and methamphetamine dependence in an Iranian population.Methods: Total of 235 cases and 204 controls were recruited in a period between 2015 to 2018. The PICK1-rs713729, -rs2076369 and BDNF-rs6265 genotypes were determined via ARMS-PCR assay. Statistical analysis was performed, using SPSS 20.0, PHASE 2.1.1 program as well as SNP Analyzer 2.0.Results: In the present study, two polymorphisms including PICK1-rs713729 (OR: 1.38 (CI: 1.08-1.52; P-value: 0.004) in multiplicative and dominant models, and PICK1-rs2076369 (OR: 1.31 (CI: 1.10-1.56; P-value: 0.002) in multiplicative, dominant and co-dominant models were associated with the risk of methamphetamine abuse. Moreover, haplotype analysis showed a significant association of haplotype AG (OR: 2.50 (CI: 1.50-4.16; P-value: 0.0002) in dominant, recessive and co-dominant models, and haplotype TT (OR: 0.67 (CI: 0.50-0.91; P-value: 0.009) in dominant and co-dominant models with the risk of methamphetamine abuse. None of the polymorphisms in this study had a high level of linkage disequilibrium. Conclusion: Our findings indicate that the PICK1 gene polymorphism might affect the risk of methamphetamine dependency in our population.


2020 ◽  
Author(s):  
Amir Tajbakhsh ◽  
Maliheh Alimardani ◽  
Mahla Asghari ◽  
Soheila Abedini ◽  
Sohrab Saghafi Khadem ◽  
...  

Abstract Background: Genetic factors play an important role in susceptibility to methamphetamine. In this line, protein that interact with C-kinase-1 (PICK1) and brain-derived neurotrophic factor (BDNF) genes are linked to methamphetamine dependence (substance use disorder). Thus, in a case-control study, we investigated the association between polymorphisms of PICK1 and BDNF genes and methamphetamine dependence in an Iranian population from 2015 to 2018.Methods: Total of 235 cases and 204 controls were recruited. The PICK1-rs713729, -rs2076369 and BDNF-rs6265 genotypes were determined via ARMS-PCR assay. Statistical analysis was performed, using SPSS 20.0, PHASE 2.1.1 program as well as SNP Analyzer 2.0.Results: In the present study, two polymorphisms including PICK1-rs713729 (OR: 1.38 (CI: 1.08-1.52; P-value: 0.004) in multiplicative and dominant models, and PICK1-rs2076369 (OR: 1.31 (CI: 1.10-1.56; P-value: 0.002) in multiplicative, dominant and co-dominant models were associated with the risk of methamphetamine abuse. Moreover, haplotype analysis methods showed a significant association between haplotype AG (OR: 2.50 (CI: 1.50-4.16; P-value: 0.0002) in dominant, recessive and co-dominant models, and haplotype TT (OR: 0.67 (CI: 0.50-0.91; P-value: 0.009) in dominant model and co-dominant model with the risk of methamphetamine abuse. None of the polymorphisms in this study had a high level of linkage disequilibrium. Conclusion: Our findings indicate that the PICK1 gene might be linked to methamphetamine dependence. Therefore, it can be stated that PICK1 might play a significant role in the pathophysiology of methamphetamine dependence in an Iranian population.


Author(s):  
Abdolhamid Amooee ◽  
Seyed Mohammadreza Niktabar ◽  
Mohammad Javad Akbarian-Bafghi ◽  
Majid Morovati-Sharifabad ◽  
Mohamad Hosein Lookzadeh ◽  
...  

Background: The TGF-α TaqI C >T polymorphism is a well-characterized variant for nonsyndromic cleft lip and/or palate (NS CL/P), but it has shown inconsistent results of association with nonsyndromic CL/P across a number of studies. Thus, we have performed this case-control study to clarify the association between the TGF-α TaqI C >T polymorphism and NS CL/P risk.   Methods: One-hundred ten cases with NSCL/P and 110 controls were recruited to the current study. We have genotyped the TGF-α TaqI C >T polymorphism using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. The odds ratio (OR) and 95% confidence interval (CI) were applied for strength of association TGF-α TaqI C >T polymorphism with NSCL/P.   Results: The TGF-α TaqI C >T polymorphism CC, CT and TT genotypes frequencies in the NSCL/P cases were 30.9%, 57.3% and 11.8%, respectively while the corresponding frequencies in the controls were 37.3%, 52.7% and 10.0%, respectively. The frequency of C and T alleles in the case were 59.5% and 40.5%, respectively while the corresponding allelic frequencies in the controls were 63.6% and 36.4%. There was no significant difference in the genotype and allele frequency for TGF-α TaqI C >T polymorphism between cases and controls. The minor allele frequency (MAF) of TGF-α TaqI C >T polymorphism among healthy controls was 0.36.   Conclusion: Our study indicates that the TGF-α TaqI C>T polymorphism was not significantly associated with increased risk of NS CL/P in the Iranian population. However, our results still need to be confirmed by further large and well-designed case-control studies.


Author(s):  
Naser Mohtavinejad ◽  
Alireza Nakhaee ◽  
Honey Harati ◽  
Nazila Gholipour ◽  
Yavar Mahmoodzade

Background: Chemokines are proinflammatory cytokines that play key roles in development of cardiovascular diseases (CVD). Chemokine-induced recruitment of peripheral leucocytes to tissues is a crucial step in the CVD progression. CC chemokines ligand 5, 2 (CCL5 and CCL2), have been characterized as emerging inflammatory biomarkers of atherosclerotic CVD. The aim of this study was to find out whether genetic polymorphisms of CCL5 -403 G>A (rs2107538) and CCL2 –927 G>C, (rs3760396) were associated with the risk of CVD. Methods: In this case-control study, 500 Iranian individuals including 250 CVD patients and 250 healthy subjects as the control group participated in 2017. Genotyping of CCL5 -403 G>A and CCL2 –927 G>C polymorphisms were executed using Tetra-ARMS PCR method. Results: At genotypic level both CCL5 -403 G>A and CCL2 –927 G>C polymorphisms were not associated with the risk of CVD (P>0.05), even after adjustment by age, sex, race, and history of hypertension, DM and smoking. However, the CCL2 –927 C allele was associated with an increased risk of CVD (OR=1.42, P=0.050) with a higher prevalence in CVD patient than in controls (17% vs. 12%). Moreover, the haplotype analysis revealed that CCL5/CCL2 haplotype (G/C) was a risk factor for CVD (OR=2.13, P=0.001), and that carriers of this haplotype were at 2.13-fold higher risk of CVD than subjects with G/G haplotype. Conclusion: CCL2 –927 C variant and CCL5/CCL2 haplotype (G/C) were associated with susceptibility to CVD, and were risk factors for CVD in our population but more studies with large sample size are recommended.


2021 ◽  
pp. 1-8
Author(s):  
Regina Sá ◽  
Tiago Pinho-Bandeira ◽  
Guilherme Queiroz ◽  
Joana Matos ◽  
João Duarte Ferreira ◽  
...  

<b><i>Background:</i></b> Ovar was the first Portuguese municipality to declare active community transmission of SARS-CoV-2, with total lockdown decreed on March 17, 2020. This context provided conditions for a large-scale testing strategy, allowing a referral system considering other symptoms besides the ones that were part of the case definition (fever, cough, and dyspnea). This study aims to identify other symptoms associated with COVID-19 since it may clarify the pre-test probability of the occurrence of the disease. <b><i>Methods:</i></b> This case-control study uses primary care registers between March 29 and May 10, 2020 in Ovar municipality. Pre-test clinical and exposure-risk characteristics, reported by physicians, were collected through a form, and linked with their laboratory result. <b><i>Results:</i></b> The study population included a total of 919 patients, of whom 226 (24.6%) were COVID-19 cases and 693 were negative for SARS-CoV-2. Only 27.1% of the patients reporting contact with a confirmed or suspected case tested positive. In the multivariate analysis, statistical significance was obtained for headaches (OR 0.558), odynophagia (OR 0.273), anosmia (OR 2.360), and other symptoms (OR 2.157). The interaction of anosmia and odynophagia appeared as possibly relevant with a borderline statistically significant OR of 3.375. <b><i>Conclusion:</i></b> COVID-19 has a wide range of symptoms. Of the myriad described, the present study highlights anosmia itself and calls for additional studies on the interaction between anosmia and odynophagia. Headaches and odynophagia by themselves are not associated with an increased risk for the disease. These findings may help clinicians in deciding when to test, especially when other diseases with similar symptoms are more prevalent, namely in winter.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Bojing Liu ◽  
Arvid Sjölander ◽  
Nancy L. Pedersen ◽  
Jonas F. Ludvigsson ◽  
Honglei Chen ◽  
...  

AbstractTo examine whether irritable bowel syndrome (IBS) was related to the future risk of Parkinson’s disease (PD), we conducted a nested case-control study in the Swedish total population including 56,564 PD cases identified from the Swedish Patient Register and 30 controls per case individually matched by sex and year of birth. Odds ratios (ORs) with 95% confidence intervals (CIs) for having a prior diagnosis of IBS were estimated using conditional logistic regression. We furthermore conducted a cohort study using the Swedish Twin Registry following 3046 IBS patients identified by self-reported abdominal symptoms and 41,179 non-IBS individuals. Through Cox proportional hazard models, we estimated hazard ratios (HRs) and 95% CIs for PD risk. In the nested case-control study, 253 (0.4%) PD cases and 5204 (0.3%) controls had a previous IBS diagnosis. IBS diagnosis was associated with a 44% higher risk of PD (OR = 1.44, 95% CI 1.27–1.63). Temporal relationship analyses showed 53% and 38% increased risk of PD more than 5 and 10 years after IBS diagnosis, respectively. In the cohort analysis based on the Swedish Twin Registry, there was no statistically significantly increased risk of PD related to IBS (HR = 1.25, 95% CI = 0.87–1.81). Our results suggest a higher risk of PD diagnosis after IBS. These results provide additional evidence supporting the importance of the gut–brain axis in PD.


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