Mendelian Randomization Analysis Identifies Inverse Causal Relationship between External Eating and Metabolic Phenotypes.

Disordered eating contributes to weight gain, obesity, and type 2 diabetes (T2D), but the precise mechanisms underlying the development of different eating patterns and connecting them to specific metabolic phenotypes remain unclear. We aimed to identify genetic variants linked to eating behaviour and investigate its causal relationships with metabolic traits using Mendelian randomization (MR). We tested associations between 30 genetic variants and eating patterns in individuals with T2D from the Volga-Ural region and investigated causal relationships between variants associated with eating patterns and various metabolic and anthropometric traits using data from the Volga-Ural population and large international consortia. We detected associations between HTR1D and CDKAL1 and external eating; between HTR2A and emotional eating; between HTR2A, NPY2R, HTR1F, HTR3A, HTR2C, CXCR2, and T2D. Further analyses in a separate group revealed significant associations between metabolic syndrome (MetS) and the loci in CRP, ADCY3, GHRL, CDKAL1, BDNF, CHRM4, CHRM1, HTR3A, and AKT1 genes. MR results demonstrated an inverse causal relationship between external eating and glycated haemoglobin levels in the Volga-Ural sample. External eating influenced anthropometric traits such as body mass index, height, hip circumference, waist circumference, and weight in GWAS cohorts. Our findings suggest that eating patterns impact both anthropometric and metabolic traits.

Alu Deletions in LAMA2 and CDH4 Genes Are Key Components of Polygenic Predictors of Longevity.

Longevity is a unique human phenomenon and a highly stable trait, characterized by polygenicity. The longevity phenotype occurs due to the ability to successfully withstand the age-related genomic instability triggered by Alu elements. The purpose of our cross-sectional study was to evaluate the combined contribution of ACE*Ya5ACE, CDH4*Yb8NBC516, COL13A1*Ya5ac1986, HECW1*Ya5NBC182, LAMA2*Ya5-MLS19, PLAT*TPA25, PKHD1L1*Yb8AC702, SEMA6A*Yb8NBC597, STK38L*Ya5ac2145 and TEAD1*Ya5ac2013 Alu elements to longevity. The study group included 2054 unrelated individuals aged from 18 to 113 years who are ethnic Tatars from Russia. We analyzed the dynamics of the allele and genotype frequencies of the studied Alu polymorphic loci in the age groups of young (18-44 years old), middle-aged (45-59 years old), elderly (60-74 years old), old seniors (75-89 years old) and long-livers (90-113 years old). Most significant changes in allele and genotype frequencies were observed between the long-livers and other groups. The search for polygenic predictors of longevity was performed using the APSampler program. Attaining longevity was associated with the combinations LAMA2*ID + CDH4*D (OR = 2.23, PBonf = 1.90 × 10-2) and CDH4*DD + LAMA2*ID + HECW1*D (OR = 4.58, PBonf = 9.00 × 10-3) among persons aged between 18 and 89 years, LAMA2*ID + CDH4*D + SEMA6A*I for individuals below 75 years of age (OR = 3.13, PBonf = 2.00 × 10-2), LAMA2*ID + HECW1*I for elderly people aged 60 and older (OR = 3.13, PBonf = 2.00 × 10-2) and CDH4*DD + LAMA2*D + HECW1*D (OR = 4.21, PBonf = 2.60 × 10-2) and CDH4*DD + LAMA2*D + ACE*I (OR = 3.68, PBonf = 1.90 × 10-2) among old seniors (75-89 years old). The key elements of combinations associated with longevity were the deletion alleles of CDH4 and LAMA2 genes. Our results point to the significance for human longevity of the Alu polymorphic loci in CDH4, LAMA2, HECW1, SEMA6A and ACE genes, involved in the integration systems.

The Relationship Between Chemokine and Chemokine Receptor Genes Polymorphisms and Chronic Obstructive Pulmonary Disease Susceptibility in Tatar Population from Russia: A Case Control Study.

Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease affecting primarily distal respiratory pathways and lung parenchyma. This study aimed to determine possible genetic association of chemokine and chemokine receptor genes polymorphisms with COPD in a Tatar population from Russia. SNPs of CCL20, CCR6, CXCL8, CXCR1, CXCR2, CCL8, CCL23, CCR2, and CX3CL1 genes and their gene-gene interactions were analyzed for association with COPD in cohort of 601 patients and 617 controls. As a result statistically significant associations with COPD in the study group under the biologically plausible assumption of additive genetic model were identified in CCL20 (rs6749704) (P = 0.00001, OR 1.55), CCR6 (rs3093024) (P = 0.0003, OR 0.74), CCL8 (rs3138035) (P = 0.0001, OR 0.67), CX3CL1 (rs170364) (P = 0.023, OR 1.21), CXCL8 (rs4073) (P = 0.007, OR 1.23), CXCR2 (rs2230054) (P = 0.0002, OR 1.32). Following SNPs CCL20 (rs6749704), CX3CL1 (rs170364), CCL8 (rs3138035), CXCL8 (rs4073), CXCR2 (rs2230054) showed statistically significant association with COPD only in smokers. The association of CCR6 (rs3093024) with COPD was confirmed both in smokers and in non-smokers. A relationship between smoking index and CCL20 (rs6749704) (P = 0.04), CCR6 (rs3093024) (P = 0.007), CCL8 (rs3138035) (P = 0.0043), and CX3CL1 (rs170364) (P = 0.04) was revealed. A significant genotype-dependent variation of Forced Vital Capacity was observed for CCL23 (rs854655) (P = 0.04). Forced Expiratory Volume in 1 s / Forced Vital Capacity ratio was affected by CCL23 (rs854655) (P = 0.05) and CXCR2 (rs1126579) (P = 0.02). Using the APSampler algorithm, we obtained nine gene-gene combinations that remained significantly associated with COPD; loci CCR2 (rs1799864) and CCL8 (rs3138035) were involved in the largest number of the combinations. Our results indicate that CCL20 (rs6749704), CCR6 (rs3093024), CCR2 (rs1799864), CCL8 (rs3138035), CXCL8 (rs4073), CXCR1 (rs2234671), CXCR2 (rs2230054), and CX3CL1 (rs170364) polymorphisms are strongly associated with COPD in Tatar population from Russia, alone and in combinations. For the first time combination of the corresponding SNPs were considered and as a result 8 SNP patterns were associated with increased risk of COPD.

The association between eating behavior and polymorphisms in GRIN2B, GRIK3, GRIA1 and GRIN1 genes in people with type 2 diabetes mellitus.

Excess body weight is the main risk factor of type 2 diabetes. Recent studies have shown that psychological and behavioral factors affect weight. Additionally, emerging evidence indicates that polymorphisms of neurotransmitter genes can impact eating behavior. The aim of this study was to detect the associations between SNPs in glutamatergic system genes and type 2 diabetes in the ethnic group of Tatars origin living in the Republic of Bashkortostan (Russian Federation). In our case-control cross-sectional study, 501 patients with type 2 diabetes (170 men and 331 women, 60.9 ± 9.2 years old (mean ± SD), BMI 30.9 ± 3.9 kg/m2 (mean ± SD) of Tatar ethnicity, and a control group of 420 Tatars (170 men and 250 women, 56.3 ± 11.6 years old (mean ± SD), BMI 24.4 ± 4.3 kg/m2 (mean ± SD), were genotyped for five SNPs in four glutamatergic genes (GRIN2B, GRIK3, GRIA1, GRIN1). Three SNPs were associated with type 2 diabetes: rs7301328 in GRIN2B [odds ratio adjusted for age, sex and BMI (ORadj) = 0.77 (95% CI 0.63-0.93), padj = 0.0077], rs1805476 in GRIN2B [ORadj = 1.25 (95% CI 1.03-1.51), padj = 0.0240], and rs2195450 in GRIA1 [ORadj = 1.35 (95% CI 1.02-1.79), padj = 0.0340]. Regression analysis revealed that rs1805476 in GRIN2B was associated with LDL level, glomerular filtration rate, BMI (p = 0.020, p = 0.012 and p = 0.018, respectively). The SNP rs7301328 in GRIN2B was associated with triglyceride levels and HbA1c (p = 0.040, p = 0.023, respectively). These associations were not significant after Bonferroni correction. We found the association between rs534131 in GRIK3, rs2195450 in GRIA1, rs1805476 in GRIN2B and diabetic retinopathy (p = 0.005, p = 0.007, p = 0.040, respectively); rs7301328 in GRIN2B was associated with hypertension (p = 0.025) and cerebrovascular disease (p = 0.013). The association between rs534131 of GRIK3, rs2195450 of GRIA1 genes and diabetic retinopathy remained significant after Bonferroni correction. The SNPs rs6293 in GRIN1 was significantly associated with eating behavior in patients with type 2 diabetes (p = 0.01). Our results demonstrate that polymorphic variants of glutamatergic genes are associated with eating behavior and diabetic complications in Tatar ethnic group residing in the Republic of Bashkortostan. We detected novel associations of the polymorphic loci in GRIN1 (rs6293) gene with external eating behavior in type 2 diabetes patients, GRIK3 (rs534131) and GRIA1 (rs2195450) genes with diabetic retinopathy.

Associations of the NRF2/KEAP1 pathway and antioxidant defense gene polymorphisms with chronic obstructive pulmonary disease.

BACKGROUND AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD) is a complex chronic inflammatory disease of the respiratory system affecting primarily distal respiratory pathways and lung parenchyma. This work was designed as a case-control study aimed at investigating the association of the NRF2/KEAP1 signaling system, and antioxidant defense gene polymorphisms with COPD in population from Russia. METHODS: Ten SNPs: NFE2L2 (rs35652124), KEAP1 (rs1048290), MPO (rs2333227), PRNP (rs1799990), PTGR1 (rs2273788), HSPA1A (rs1008438), TXNRD2 (rs1139793), GSR (rs1002149), SIRT2 (rs10410544), and PTGS1 (rs1330344) were genotyped by the real-time polymerase chain reaction (TaqMan assays) in a case-control study (425 COPD patients and 457 controls, from the same region of Russia, representatives of Tatar population). Logistic regression was used to detect the association of SNPs in different models. Linear regression analyses were performed to estimate the relationship between SNPs and lung function parameters and smoking pack-years. THE RESULTS: In our population, a significant associations of KEAP1 (rs1048290) (P = 0.0015, OR = 0.72 in additive model), HSPA1A (rs1008438) (P = 0.006, OR = 2.26 in recessive model), GSR (rs1002149) (P = 0.037, OR = 1.31 in additive model) with COPD were revealed. NFE2L2 (rs35652124), PRNP (rs1799990), and HSPA1A (rs1008438) were significantly associated with COPD only in smokers. In nonsmokers, significant association was established for GSR (rs1002149). KEAP1 (rs1048290) was associated with COPD in both groups. The relationship between KEAP1 (rs1048290), NFE2L2 (rs35652124), and HSPA1A (rs1008438) and smoking pack-years was found (P = 0.005, P = 0.0028, P = 0.015). A significant genotype-dependent variation of forced vital capacity and forced expiratory volume in 1 s was observed for SIRT2 (rs10410544) (P = 0.04), NFE2L2 (rs35652124) (P = 0.028), and PRNP (rs1799990) (P = 0.044).