scholarly journals The effect of CYP7B1 polymorphisms on the risk of coronary heart disease in Hainan Han population

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Tiebiao Liang ◽  
Xianbo Zhang ◽  
Anshan Liang ◽  
Haiqing Wu ◽  
Qi Wang ◽  
...  

Abstract Background Coronary heart disease (CHD) is the leading cause of human death worldwide. Genetic factors play an important role in the occurrence of CHD. Our study is designed to investigate the influence of CYP7B1 polymorphisms on CHD risk. Methods In this case–control study, 508 CHD patients and 510 healthy individuals were recruited to determine the correlation between CYP7B1 polymorphisms (rs7836768, rs6472155, and rs2980003) and CHD risk. The associations were evaluated by computing odds ratios (OR) and 95% confidence intervals (CI) with logistic regression analysis. The association between SNP-SNP interaction and CHD susceptibility was carried out by multifactor dimensionality reduction analyses. Results Our study found that rs6472155 is significantly associated with an increased risk of CHD in age > 60 years (OR 2.20, 95% CI = 1.07–4.49, p = 0.031), women (OR 3.17, 95% CI = 1.19–8.44, p = 0.021), and non-smokers (3.43, 95% CI = 1.16–10.09, p = 0.025). Rs2980003 polymorphism has a lower risk of CHD in drinkers (OR 0.47, 95% CI = 0.24–0.91, p = 0.025). Further analyses based on false-positive report probability validated these significant results. Besides, it was found that rs6472155 polymorphism was associated with uric acid level (p = 0.034). Conclusion Our study indicated that CYP7B1 polymorphisms are related to the risk of CHD, which provides a new perspective for prevent of CHD.

2021 ◽  
Author(s):  
Tiebiao Liang ◽  
Xianbo Zhang ◽  
Anshan Liang ◽  
Haiqing Wu ◽  
Qi Wang ◽  
...  

Abstract Background Coronary heart disease (CHD) is the leading cause of human death worldwide. Genetic factors play an important role in the occurrence of CHD. Our study is designed to investigate the influence of CYP7B1 polymorphisms on CHD risk.Methods In this case-control study, 508 CHD patients and 510 healthy individuals were recruited to determine the correlation between CYP7B1 polymorphisms (rs7836768, rs6472155, and rs2980003) and CHD risk. The associations were evaluated by computing odds ratios (OR) and 95% confidence intervals (CI) with logistic regression analysis. The association between SNP-SNP interaction and CHD susceptibility was carried out by multifactor dimensionality reduction analyses.Results Our study found that rs6472155 is significantly associated with an increased risk of CHD in age > 60 years (OR 2.20, 95 % CI = 1.07–4.49, p = 0.031), women (OR 3.17, 95 % CI = 1.19–8.44, p = 0.021), and non-smokers (3.43, 95 % CI = 1.16–10.09, p = 0.025). Rs2980003 polymorphism has a lower risk of CHD in drinkers (OR 0.47, 95 % CI = 0.24–0.91, p = 0.025). Besides, it was found that rs6472155 polymorphism was associated with uric acid level (p = 0.034).Conclusion Our study indicated that CYP7B1 polymorphisms are related to the risk of CHD, which provides a new perspective for prevent of CHD.


2020 ◽  
Author(s):  
Yuping Yan ◽  
Xiaoyan Du ◽  
Xiaoxi liu ◽  
Jingjie Li ◽  
Zichao Xiong ◽  
...  

Abstract Objective: The aim of this study was to explore the effects of NINJ2 polymorphisms on susceptibility of coronary heart disease (CHD).Methods: We conducted a case-control study with 499 CHD cases and 505 age- and sex- matched controls. Five single nucleotide polymorphisms (SNP) in NINJ2 (rs118050317, rs75750647, rs7307242, rs10849390 and rs11610368) were genotyped by Agena MassARRAY platform. Odd ratios (OR) and 95% confidence intervals (CI) were calculated using logistic regression to assess the association of NINJ2 polymorphism and CHD risk adjusting for age and gender..Results: NINJ2 rs118050317 significantly increased the risk of CHD in people over 60 years old (allele: P = 0.010; heterozygote: P = 0.016; dominant: P = 0.015; additive: P = 0.021) and women (allele: P = 0.026; heterozygote: P = 0.015; dominant: P = 0.018; additive: P = 0.030). Rs118050317 and rs7307242 were closely related to the risk of hypertension in CHD patients. Additionally, rs75750647 significantly increased diabetes risk in multiple models among CHD cases (allele: P = 0.014; homozygote: P = 0.037; heterozygote: P = 0.044; dominant: P = 0.019; additive: P = 0.013), whereas rs10849390 could protect CHD patients from diabetes in allele (P = 0.035), homozygote (P = 0.047) and additive (P = 0.037) models. We also observed two block (block 1: rs118050317 and rs75750647; block 2: rs7307242, rs10849390 and rs11610368) in NINJ2.Conclusion: Our results suggested that the relationships of NINJ2 polymorphisms and CHD risk were dependent on age, sex or complications.


2020 ◽  
Author(s):  
Yuping Yan ◽  
Xiaoyan Du ◽  
Xiaoxi Liu ◽  
Jingjie Li ◽  
Zichao Xiong ◽  
...  

Abstract Objective The aim of this study was to explore the effects of NINJ2 polymorphisms on susceptibility of coronary heart disease (CHD). Methods We conducted a case-control study with 499 CHD cases and 505 age- and sex- matched controls. Five single nucleotide polymorphisms (SNP) in NINJ2 (rs118050317, rs75750647, rs7307242, rs10849390 and rs11610368) were genotyped by Agena MassARRAY platform. Odd ratios (OR) and 95% confidence intervals (CI) were calculated using logistic regression to assess the association of NINJ2 polymorphism and CHD risk adjusting for age and gender.. Results NINJ2 rs118050317 significantly increased CHD risk among people older than 60 years old (allele: P = 0.010; heterozygote: P = 0.016; dominant: P = 0.015; additive: P = 0.021) and women (allele: P = 0.026; heterozygote: P = 0.015; dominant: P = 0.018; additive: P = 0.030). Rs118050317 and rs7307242 had strong relationship with hypertension risk in CHD patients. Additionally, rs75750647 significantly increased diabetes risk in multiple models among cases (allele: P = 0.014; homozygote: P = 0.037; heterozygote: P = 0.044; dominant: P = 0.019; additive: P = 0.013), whereas rs10849390 could protect CHD patients from diabetes in allele ( P = 0.035), homozygote ( P = 0.047) and additive ( P = 0.037) models. We also observed two block (block 1: rs118050317 and rs75750647; block 2: rs7307242, rs10849390 and rs11610368) in NINJ2 . Conclusion Our results suggest that NINJ2 polymorphisms are associated with CHD risk.


2020 ◽  
Author(s):  
Yuping Yan ◽  
Xiaoyan Du ◽  
Xiaoxi liu ◽  
Jingjie Li ◽  
Zichao Xiong ◽  
...  

Abstract Objective: The aim of this study was to explore the effects of NINJ2 polymorphisms on susceptibility of coronary heart disease (CHD).Methods: We conducted a case-control study with 499 CHD cases and 505 age- and sex- matched controls. Five single nucleotide polymorphisms (SNP) in NINJ2 (rs118050317, rs75750647, rs7307242, rs10849390 and rs11610368) were genotyped by Agena MassARRAY platform. Odd ratios (OR) and 95% confidence intervals (CI) were calculated using logistic regression to assess the association of NINJ2 polymorphism and CHD risk adjusting for age and gender..Results: NINJ2 rs118050317 significantly increased CHD risk among people older than 60 years old (allele: P = 0.010; heterozygote: P = 0.016; dominant: P = 0.015; additive: P = 0.021) and women (allele: P = 0.026; heterozygote: P = 0.015; dominant: P = 0.018; additive: P = 0.030). Rs118050317 and rs7307242 had strong relationship with hypertension risk in CHD patients. Additionally, rs75750647 significantly increased diabetes risk in multiple models among cases (allele: P = 0.014; homozygote: P = 0.037; heterozygote: P = 0.044; dominant: P = 0.019; additive: P = 0.013), whereas rs10849390 could protect CHD patients from diabetes in allele (P = 0.035), homozygote (P = 0.047) and additive (P = 0.037) models. We also observed two block (block 1: rs118050317 and rs75750647; block 2: rs7307242, rs10849390 and rs11610368) in NINJ2.Conclusion: Our results suggest that NINJ2 polymorphisms are associated with CHD risk.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Vera L. Costa ◽  
Jean-Bernard Ruidavets ◽  
Vanina Bongard ◽  
Bertrand Perret ◽  
Emanuela Repetto ◽  
...  

AbstractDuring the development of atherosclerotic lesion, s-RNYs (small RNAs of about 24/34 nucleotides) are derived by the processing of long Ro-associated non-coding RNAs (RNYs) in macrophages. The levels of serum s-RNYs have been found significantly upregulated in patients with coronary heart disease (CHD) compared to age-matched CHD-free individuals. The present study aimed to examine the predictive value of serum s-RNYs for CHD events in the general male population. Within the frame of nested-case–control study, the GENES study, we measured the absolute expression of a RNY-derived small RNA, the s-RNY1-5p, in the serum of individuals (without CHD at baseline) who encountered a CHD event within 12 years of follow-up (n = 30) (Cases) and compared them to individuals who remained event-free (Controls) (n = 30). The expression of s-RNY1-5p in serum was significantly upregulated in Cases compared to Controls (p = 0.027). The proportion of CHD event-free was significantly higher among individuals with serum s-RNY1-5p below the median value (631 molecules/mL). In a multivariable model adjusted for age, smoking, hypertension, diabetes and dyslipidemia, the risk of CHD events increased more than fourfold in individuals with serum s-RNY1-5p above the median value (HR, 4.36; 95% CI 1.22–15.60). A positive association with CHD events was also observed when considering s-RNY1-5p as a continuous variable (p = 0.022). Based on our results, we conclude that serum s-RNY1-5p is an independent predictor of CHD events in a general male population and might be a relevant biomarker for early detection of cardiovascular diseases.


Author(s):  
Farhad Vahid ◽  
Zahra Nasiri ◽  
Amir Abbasnezhad ◽  
Ezatollah Fazeli Moghadam

BACKGROUND: Oxidative stress and chronic inflammation are among the leading causes of coronary heart disease (CHD). Studies investigated the relationship between dietary antioxidants and the risk/odds of CHD, and contradictory results have been reported. Dietary antioxidant index (DAI) is a novel and reliable nutritional tool that examines the diet’s overall antioxidant capacity. Its validity was examined using serum total antioxidant capacity and malondialdehyde. OBJECTIVE: This study aimed to investigate the relationship between DAI score and odds of CHD. METHODS: In this incidence case-control study, 320 individuals with a definitive diagnosis of CHD and 320 participants without CHD or related risk factors attending the same hospitals/polyclinics were selected as the case and control groups. We estimated the DAI by summing up six standardized intakes of major dietary antioxidants, including manganese, vitamin E, A, C, selenium, and zinc. RESULTS: Modeling DAI categorized according to the median (–0.38), in multi-adjusted model showed a significant protective association with the odd of CHD (OR = 0.72; 95%CI:0.51–0.99, p-value = 0.05). Also, modeling DAI as a continuous variable in multi-adjusted models (OR = 0.94;95%CI:0.90–0.95; p-value = 0.01) showed significant results. CONCLUSION: Using the DAI to investigate the relationship between dietary antioxidants and CHD can show more realistic results than a single study of antioxidants.


2018 ◽  
Vol 20 (1) ◽  
pp. 17-24
Author(s):  
Hanieh Mohammadi ◽  
Narges Razavi ◽  
Ali Abbasi ◽  
Faezeh Babaei ◽  
Ensiyeh Seyedrezazadeh ◽  
...  

2018 ◽  
Vol 58 (4) ◽  
pp. 1203-1216 ◽  
Author(s):  
Rohoullah Hemmati ◽  
Zeinab Bidel ◽  
Milad Nazarzadeh ◽  
Maryam Valadi ◽  
Somayeh Berenji ◽  
...  

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Logan Cowan ◽  
Pamela Lutsey ◽  
Jim Pankow ◽  
Kunihiro Matsushita ◽  
Junichi Ishigami ◽  
...  

Introduction: Acute infections are known triggers of coronary heart disease (CHD). It is unclear how the strength of the association varies by infection type. Hypothesis: We hypothesized that all acute infections increase CHD risk but the level of increased risk varies by infection type. Methods: Incident CHD (myocardial infarction and fatal CHD) cases were identified and adjudicated in the ARIC cohort. ARIC participants were linked to Medicare claims data. We used ICD-9 codes to identify 4 infection types based on infection frequency: cellulitis, pneumonia, urinary tract infections (UTI), and bloodstream infections. We used a case-crossover design and conditional logistic regression to compare infections among CHD cases 90 days before the event with two corresponding control periods 1 year and 2 years prior. The Wald test was used to assess differences between infection types. Results: A total of 1,312 CHD cases were identified. Among cases, 43 had cellulitis, 102 had pneumonia, 116 had a UTI, and 28 had a bloodstream infection within 90 days of the CHD event. All infection types were associated with higher CHD risk within 90 days of the infection; (odds ratios and 95% Cis) (cellulitis = 1.41 (0.93, 2.15), pneumonia = 5.60 (3.72, 8.43), UTI = 2.62 (1.92, 3.57), bloodstream infections = 4.77 (2.34, 9.71)) although cellulitis was not statistically significant (Figure). The association between infection and CHD was significantly stronger for pneumonia, UTI, and bloodstream infections compared to cellulitis (p<0.05). Pneumonia and bloodstream infections were stronger CHD triggers compared to UTI but only pneumonia reached statistical significance (p<0.05). Conclusions: Patients with pneumonia or bloodstream infections may be at particularly elevated CHD risk. Clinical trials of CHD preventive therapies during and immediately following infection to reduce the otherwise elevated CHD risk are needed. Healthcare providers should consider CHD risk during and immediately after infection and optimize preventive therapies.


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