Tetrahydrocurcumin ameliorates postinfarction cardiac dysfunction and remodeling by inhibiting oxidative stress and preserving mitochondrial function via SIRT3 signaling pathway.

BACKGROUND: Myocardial infarction (MI) often leads to sudden cardiac death. Persistent myocardial ischemia increases oxidative stress and impairs mitochondrial function, contributing significantly to postinfarction cardiac dysfunction and remodeling, and the subsequent progression to heart failure (HF). Tetrahydrocurcumin (THC), isolated from the rhizome of turmeric, has antioxidant properties and has been shown to protect against cardiovascular diseases. However, its effects on HF after MI are poorly understood. PURPOSE: The objective was the investigation of the pharmacological effects of THC and its associated mechanisms in the pathogenesis of HF after MI. METHODS: A total of 120 mice (C57BL/6, male) were used for the in vivo experiments. An MI mouse model was created by permanent ligation of the left anterior descending coronary artery. The mice received oral dose of THC at 120 mg/kg/d and the effects on MI-induced myocardial injury were evaluated by assessment of cardiac function, histopathology, myocardial oxidative levels, and mitochondrial function. Molecular mechanisms were investigated by intraperitoneal injection of 50 mg/kg of the SIRT3 selective inhibitor 3-TYP. Meanwhile, mouse neonatal cardiomyocytes were isolated and cultured in a hypoxic incubator to verify the effects of THC in vitro. Lastly, SIRT3 and Nrf2 were silenced using siRNAs to further explore the regulatory mechanism of key molecules in this process. RESULTS: The mouse hearts showed significant impairment in systolic function after MI, together with enlarged infarct size, increased myocardial fibrosis, cardiac hypertrophy, and apoptosis of cardiomyocytes. A significant reversal of these changes was seen after treatment with THC. Moreover, THC markedly reduced reactive oxygen species generation and protected mitochondrial function, thus mitigating oxidative stress in the post-MI myocardium. Mechanistically, THC counteracted reduced Nrf2 nuclear accumulation and SIRT3 signaling in the MI mice while inhibition of Nrf2 or SIRT3 reversed the effects of THC. Cell experiments showed that Nrf2 silencing markedly reduced SIRT3 levels and deacetylation activity while inhibition of SIRT3 signaling had little impact on Nrf2 expression. CONCLUSION: This is the first demonstration that THC protects against the effects of MI. THC reduced both oxidative stress and mitochondrial damage by regulating Nrf2-SIRT3 signaling. The results suggest the potential of THC in treating myocardial ischemic diseases.

Genetic analysis of pharmacogenomic VIP variants in the Wa population from Yunnan Province of China.

BACKGROUND: The variation of drug responses and target does among individuals is mostly determined by genes. With the development of pharmacogenetics and pharmacogenomics, the differences in drug response between different races seem to be mainly caused by the genetic diversity of pharmacodynamics and pharmacokinetics genes. Very important pharmacogenetic (VIP) variants mean that genes or variants play important and vital roles in drug response, which have been listed in pharmacogenomics databases, such as Pharmacogenomics Knowledge Base (PharmGKB). The information of Chinese ethnic minorities such as the Wa ethnic group is scarce. This study aimed to uncover the significantly different loci in the Wa population in Yunnan Province of China from the perspective of pharmacogenomics, to provide a theoretical basis for the future medication guidance, and to ultimately achieve the best treatment in the future. RESULTS: In this study, we recruited 200 unrelated healthy Wa adults from the Yunnan province of China, selected 52 VIP variants from the PharmGKB for genotyping. We also compared the genotype frequency and allele distribution of VIP variants between Wa population and the other 26 populations from the 1000 Genomes Project ( http://www.1000Genomes.org/ ). Next, χ2 test was used to determine the significant points between these populations. The study results showed that compared with the other 26 population groups, five variants rs776746 (CYP3A5), rs4291 (ACE), rs3093105 (CYP4F2), rs1051298 (SLC19A1), and rs1065852 (CYP2D6) had higher frequencies in the Wa population. The genotype frequencies rs4291-TA, rs3093105-CA, rs1051298-AG and rs1065852-GA were higher than those of the other populations, and the allele distributions of rs4291-T and rs3093105-C were significantly different. Additionally, the difference between the Wa ethnic group and East Asian populations, such as CDX, CHB, and CHS, was the smallest. CONCLUSIONS: Our research results show that there is a significant difference in the distribution of VIP variants between the Wa ethnic group and the other 26 populations. The study results will have an effect on supplementing the pharmacogenomics information for the Wa population and providing a theoretical basis for individualised medication for the Wa population.

Analysis of CYP2J2 mutations in the Chinese Uyghur population.

Genetic characteristics of CYP2J2 in different populations may be helpful to explore interethnic variability in drug response and disease susceptibility. There is no information about the genetic profile of CYP2J2 in the Chinese Uyghur population. We used PCR and first-generation sequencing technology to investigate CYP2J2 mutations in 100 unrelated healthy Chinese Uyghurs. The chi-square test was used to compare genotyping data of CYP2J2 in the Chinese Uyghur population with other ethnic groups. The SIFT and PolyPhen-2 online tools were used to predict the protein function of the novel nonsynonymous mutations in CYP2J2. CADD software was used to predict pathogenicity of the mutations. We found twenty-eight mutations in CYP2J2, five new mutations, three alleles (*1, *7 and *8), and three genotypes (*1/*1, *1/*7 and *1/*8) in the Chinese Uyghur population. The allele frequencies of CYP2J2 *1, *7 and *8 were 96%, 3.45%, and 0.5%, respectively. Interethnic comparison found that subgenotype *1 in Uyghur was significantly higher than in Taiwanese and African Americans, and *7 frequency in Uyghur was slightly lower than that in Taiwanese and African Americans (P<0.05); *8 was only found in Chinese Uyghur and Korean populations, with frequencies of 0.5% and 0.8%, respectively. Furthermore, the protein prediction results revealed that the five nonsynonymous mutations could influence protein structure and function. The observations of this study give rise to useful information on CYP2J2 mutations in Chinese Uyghurs, which may support future important clinical implications for the use of medications metabolized by CYP2J2.

The Impacts of IL1R1 and IL1R2 Genetic Variants on Rheumatoid Arthritis Risk in the Chinese Han Population: A Case-Control Study.

BACKGROUND: Rheumatoid arthritis (RA), an autoimmune systemic inflammatory disease, largely resulted from genetic factor. Our purpose was to explore the association for IL1R1 and IL1R2 genetic variants with RA susceptibility in the Chinese Han population. PATIENTS AND METHODS: A total of 508 RA patients and 494 controls were involved in this case-control study; single-nucleotide polymorphisms (SNPs) genotyping was identified by the Agena MassARRAY platform. The relationship between polymorphisms and RA susceptibility was calculated using the Pearson's Chi-square test with odds ratios and 95% confidence intervals (CIs) in multiple genetic models. The Pearson's Chi-square test and Student's t-test were used for sample basic characteristic analysis. And linkage disequilibrium (LD) analysis and haplotype analysis were performed by logistic regression analysis. RESULTS: The result from this study showed that rs2072472 (IL1R2) was an increased risk factor of RA (adjusted OR = 1.41, p = 0.011). Stratified analysis indicated SNPs rs10490571, rs956730, rs3917318 of IL1R1, and SNPs rs4851527, rs719250, rs3218896, rs3218977, rs2072472 of IL1R2 had impacts on RA risk after stratification based on gender and average age (54 years). Finally, haplotype analysis revealed that Ars3218977Ars2072472 haplotype in IL1R2 was related to a decreased RA risk (adjusted OR = 0.79; 95% CI = 0.65-0.94; p = 0.010). Yet, rs3917225(IL1R1) and rs11674595(IL1R2) were not significant in RA association analysis. CONCLUSION: We determined SNPs (rs3917318, rs956730, rs1049057) of IL1R1 and SNPs (rs3218977, rs719250, rs4851527, rs3218896, rs2072472) of IL1R2 were correlated with the RA susceptibility in the Chinese Han population.

Population Genetic Difference of Pharmacogenomic VIP Variants in the Tibetan Population.

BACKGROUND: Genetic variation influences drug reaction or adverse prognosis. The purpose of this research was to genotype very important pharmacogenetic (VIP) variants in the Tibetan population. METHODS AND MATERIALS: Blood samples from 200 Tibetans were randomly collected and 59 VIP variants were genotyped, and then compared our data to 26 other populations in the 1000 project to further analyze and identify significant difference. RESULTS: The results showed that on comparing with most of the 26 populations from the 1000 project, rs4291 (ACE), rs1051296 (SLC19A1) and rs1065852 (CYP2D6) significantly differed in the Tibetan population. Furthermore, three significant loci were related to drug response. In addition, the allele frequency of Tibetans least differed from that of East Asian populations, and most differed from that of Americans. CONCLUSION: Three significant loci of variation ACE rs4291, SLC19A1 rs1051296 and CYP2D6 rs1065852 were associated with drug response. This result will contribute to improving the information of the Tibetan in the pharmacogenomics database, and providing a theoretical basis for clinical individualised drug use in Tibetans.

Genetic Polymorphisms of Very Important Pharmacogene Variants in the Blang Population from Yunnan Province in China.

BACKGROUND: We aimed to enrich the pharmacogenomic information of a Blang population (BP) from Yunnan Province in China. METHODS: We genotyped 55 very important pharmacogene (VIP) variants from the PharmGKB database and compared their genotype distribution (GD) in a BP with that of 26 populations by the χ 2 test. The minor allele frequency (MAF) distribution of seven significantly different single-nucleotide polymorphisms (SNPs) was conducted to compare the difference between the BP and 26 other populations. RESULTS: Compared with the GD of 55 loci in the BP, among 26 studied populations, GWD, YRI, GIH, ESN, MSL, TSI, PJL, ACB, FIN and IBS were the top-10 populations, which showed a significantly different GD >35 loci. CHB, JPT, CDX, CHS, and KHV populations had a significantly different GD <20 loci. A GD difference of 27-34 loci was found between the BP and 11 populations (LWK, CEU, ITU, STU, PUR, CLM, GBR, ASW, BEB, MXL and PEL). The GD of five loci (rs750155 (SULT1A1), rs4291 (ACE), rs1051298 (SLC19A1), rs1131596 (SLC19A1) and rs1051296 (SLC19A1)) were the most significantly different in the BP as compared with that of the other 26 populations. The genotype frequency of rs1800764 (ACE) and rs1065852 (CYP2D6) was different in all populations except for PEL and LWK, respectively. MAFs of rs1065852 (CYP2D6) and rs750155 (SULT1A1) showed the largest fluctuation between the BP and SAS, EUR, AFR and AMR populations. CONCLUSION: Our data can provide theoretical guidance for safe and efficacious personalized drug use in the Blang population.

CYP2C8 and CYP2E1 genetic variants increase risk of tuberculosis in northwest Chinese Han population.

OBJECTIVE: Tuberculosis (TB) is a chronic infectious disease which remains a main cause of death worldwide, and arises more and more concerns in recent years. CytochromeP450 (CYP450) is involved in the metabolism of many exogenous and endogenous compounds, and its polymorphism is associated with many diseases. The objective of our study was to explore the relationship between CYP450 polymorphisms and TB susceptibility in Northwest Chinese Han population. METHODS: 506 TB patients and 506 controls were recruited for our study, and their DNA were extracted. Six single nucleotide polymorphisms (SNPs) were selected for genotype. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated to evaluate the correlation between SNPs and TB risk. RESULTS: The genotype "TA" of CYP2C8 rs2275620 was related to an increased risk of TB in the co-dominant model (OR = 1.33, 95%CI =1.00-1.76, p = 0.049). In females, CYP2E1 rs2070672 was related to an increased TB susceptibility (co-dominant: OR = 1.62, 95%CI = 1.04-2.52, p = 0.032; dominant: OR = 1.66, 95%CI = 1.08-2.56, p = 0.020; additive: OR = 1.60, 95%CI = 1.08-2.36, p = 0.018), and CYP2E1 rs2515641 was also associated with an increased risk of TB (co-dominant: OR = 1.90, 95%CI = 1.19-3.04, p = 0.007; dominant: OR = 1.94, 95%CI = 1.23-3.05, p = 0.004; additive: OR = 1.80, 95%CI = 1.20-2.71, p = 0.005) in women. But there was no statistical significance between haplotypes and TB risk (p > 0.05). CONCLUSIONS: Our research showed CYP2C8 and CYP2E1 polymorphisms are associated with an increased risk of TB in Northwest Chinese Han population, which may provide a crucial help on defining new therapeutic strategies for chemoprevention.

Impacts of LOC105371267 Variants on Breast Cancer Susceptibility in Northern Chinese Han Females: A Population-Based Case-Control Study.

BACKGROUND: LOC105371267, also known as PR-lncRNA1, was reported to be a p53-regulated long noncoding RNA (lncRNA), which played an essential role in the pathogenesis of breast cancer (BC). We aimed to observe the potential association between LOC105371267 polymorphisms and BC risk in Northern Chinese Han females. METHODS: Totally, 555 healthy individuals and 561 patients with BC were recruited. Five candidate SNPs (rs6499221, rs3931698, rs8044565, rs3852740, and rs111577197) of LOC105371267 were genotyped with the Agena MassARRAY system. Odds ratio (OR) and 95% confidence intervals (CIs) were applied to evaluate the relationship of LOC105371267 genetic polymorphisms with BC susceptibility. Additionally, stratification analysis based on clinical features and haplotype analysis were also conducted. Finally, multifactor dimensionality reduction (MDR) analysis was performed to assess the SNP-SNP interaction among LOC105371267 variants, and false-positive report probability (FPRP) analysis was used to validate the result of this study. RESULTS: In this study, rs3931698 was a protective factor of BC in total (GG homozygote: OR = 0.30, 95% CI: 0.11-0.82, p=0.018; recessive model: OR = 0.30, 95% CI: 0.11-0.84, p=0.021). In stratification analysis based on the average age of 52 years and clinical characteristics (PR status, III-IV TNM stage), rs3931698 was also demonstrated to be associated with BC susceptibility. In addition, rs6499221 and rs3852740 were also associated with BC susceptibility among patients at age <52 years and patients with BC in a positive status. Thus, the haplotype analysis had a negative result for the incidence of BC (p > 0.05), and haplotype consisting of rs8044565 and rs111577197 was nonsignificantly associated with the BC risk. Finally, MDR and FPRP analyses also validated the result of this study. CONCLUSION: Polymorphisms rs3931698, rs6499221, and rs3852740 of LOC105371267 were found to be associated with the risk of BC in total, and stratification analysis in the Northern Chinese Han females suggested that LOC105371267 variants might be helpful to predict BC progression.

Impact of ESR1 Polymorphisms on Risk of Breast Cancer in the Chinese Han Population.

BACKGROUND: The estrogen receptor-1 (ESR1) gene encodes estrogen receptor-α, which is a major biomarker in the development of breast cancer. This study aimed to investigate the effect of ESR1 polymorphisms on breast cancer in Chinese Han women. MATERIALS AND METHODS: We genotyped 4 candidate single nucleotide polymorphisms (SNPs) in ESR1 among 503 patients with breast cancer and 503 healthy people using the Agena MassARRAY platform. The association between ESR1 polymorphisms and breast cancer risk was evaluated using odds ratios (ORs) and 95% confidence intervals (95% CIs) under 4 genetic models. The HaploReg v4.1 and GEPIA database were used for SNP functional annotation and ESR1 expression analysis, respectively. RESULTS: The T allele of rs9383938 in ESR1 was significantly associated with an increased breast cancer risk (OR, 1.26; 95% CI, 1.05-1.50; P = .013). In genetic models, rs9383938 increased breast cancer risk in the codominant model (OR, 1.54; 95% CI, 1.07-2.22; P = .021), the dominant model (OR, 1.31; 95% CI, 1.01-1.68; P = .040), and the additive model (OR, 1.24; 95% CI, 1.04-1.48; P = .017). Stratification analysis showed that rs9383938 and rs2228480 raised the breast cancer susceptibility in individuals aged younger than 52 years old. Rs1801132 of ESR1 was significantly associated with the status of estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 in the allele model and genetic models (P < .05). CONCLUSIONS: This study demonstrated that ESR1 polymorphisms might influence breast cancer susceptibility in the Chinese Han population. Further mechanism studies are needed to confirm the contribution of ESR1.

Fc receptor-like 1, 3, and 6 variants are associated with rheumatoid arthritis risk in the Chinese Han population.

BACKGROUND: Rheumatoid arthritis (RA) is the most common autoimmune system diseases in our world. More studies in recent years have shown that FCRL gene polymorphisms is closely related to autoimmune diseases. It is suggested that genetic factors play a crucial role in the pathogenesis of this disease. In this study, we aimed to investigate the relationship between FCRL1 rs2050568, FCRL3 rs2317230 and FCRL6 rs58240276 polymorphisms and RA risk in the Chinese Han population. 506 with RA patients and 509 healthy controls were recruited in this study, and the single nucleotide polymorphisms (SNPs) was successfully genotyped using the Agena MassARRAY platform. Odds ratios (ORs) and 95% confidence intervals (95% CIs) after adjusting for age and gender were conducted to assess these SNPs polymorphisms and RA risk. The multifactor dimensionality reduction (MDR) method was conducted to analyze SNP-SNP interaction. RESULTS: Our results revealed that there no significant association was observed between the allele and genotype frequencies among these SNPs and RA risk (all p > 0.05). Straified analysis by age and gender, the results confirmed that FCRL1 rs2050568 T/T genotype enhanced the risk of RA in females (p = 0.014). The G/T - T/T genotype of FCRL3 rs2317230 was correlated with a decreased RA risk in males (p = 0.021). We also observed that the C/T-T/T genotype of FCRL6 rs58240276 was increased the risk of RA in the group at age >  54 years (p = 0.016). In addition, FCRL1 rs2050568-TT, FCRL6 rs58240276-TT and FCRL1 rs2050568-TT, FCRL3 rs2317230-TT, FCRL6 rs58240276-TT are the best models for multi-site MDR analysis (p < 0.05), and the two best models mentioned above and classes RA have the most significant correlation. CONCLUSIONS: Our study demonstrated that FCRL1 rs2050568, FCRL3 rs2317230, and FCRL6 rs58240276 polymorphisms were correlated with RA susceptibility in the Chinese Han population.