Rs712 within 3'-untranslated region of KRAS can affect the specific binding between the mRNA and its targeted microRNAs, leading to the activation of KRAS oncogene. However, the possible association between the locus and susceptibility to colorectal cancer (CRC) remains unclear. We investigated genotypes of the locus in 586 cases and 476 controls to explore the possible association between them. Results of our case–control study showed that genotypes TT (6.5% vs 2.5%, P=0.002, adjusted odds ratio [OR] =2.810, 95% confidence interval [CI] =1.342–5.488) and GT/TT (36.5% vs 30.5%, P=0.038, adjusted OR =1.342, 95% CI =1.030–1.712) and allele T (21.5% vs 6.5%, P=0.004, adjusted OR =1.328, 95% CI =1.105–1.722) of rs712 were significantly associated with an increased risk of CRC, and the significant association was also observed in the recessive model (TT vs GG/GT, 6.5% vs 2.5%, P=0.003, adjusted OR =0.372, 95% CI =0.191–0.725). However, there was no association between genotype GT and risk of CRC (30.0% vs 28.0%, P=0.235, adjusted OR =1.210, 95% CI =0.903–1.548). Furthermore, genotype GT (P=0.003) and allele T (P=0.003) were significantly associated with poor differentiation, and genotypes GT and TT and allele T were significantly associated with tumor-node-metastases stage III (P=0.001 for GT vs GG, P<0.001 for TT vs GG, and P<0.001 for T vs G) and node metastasis (P<0.001 for GT vs GG, P=0.001 for TT vs GG, and P<0.001 for T vs G), respectively. These findings indicated that allele T and genotypes TT and GT/TT of rs712 might be susceptible factors for CRC, and mutated allele and genotypes of the locus might predict a poor clinical outcome in Chinese population.

Objective: To ascertain whether vascular complications and high lipoprotein (a) [Lp(a)] concentrations are related in individuals with early-onset type 2 diabetes mellitus (T2DM).Methods: This observational cross-sectional study included 591 individuals with early-onset T2DM who were divided into four groups based on Lp(a) values which was measured using immunoturbidimetry and presented as mg/dL: high, >50; intermediate, 30≤Lp(a)<50; low, 10≤Lp(a)<30; and very low, 0.05). Individuals in the low Lp(a) (OR=2.12, 95% CI 1.17-3.84, P<0.05), intermediate Lp(a) (OR=2.76, 95% CI 1.10-6.98, P<0.05) and high Lp(a) (OR=4.79, 95% CI 2.03-11.31, P0.05).Conclusions: In patients with early-onset T2DM, Lp(a) concentration was independently associated with CHD. Lp(a) testing is essential to determine who has a latent high risk of CHD among patients with early-onset T2DM.

Existing studies on the association between the triglyceride-glucose index (TyG) and hypertension often rely on simplified hypertension classifications and provide limited evidence specific to the elderly population (aged ≥ 70 years). This study aims to explore the relationship between the TyG index and different subtypes of abnormal blood pressure in older adults. A cross-sectional study was conducted in 2022 using random cluster sampling, including 12,690 permanent residents aged ≥ 70 years from rural communities. Blood pressure was measured by uniformly trained staff using calibrated electronic sphygmomanometers under resting conditions. The triglyceride-glucose (TyG) index was analyzed both as a continuous variable and in quartiles. Multivariable logistic regression models, adjusted for age, sex, education level, marriage, smoking, alcohol consumption, family history of diabetes, family history of hypertension, heart rate, and body mass index, were used to assess the associations between the TyG index and hypertension subtypes. The discriminatory ability of the TyG index was evaluated using receiver operating characteristic (ROC) curve analysis, with adjustment for the same set of covariates. The overall crude prevalence of hypertension (HTN) was 55.9%. The prevalence rates of systolic hypertension (SHTN), grade 1 hypertension (HTN-I), and grade 2 hypertension (HTN-II) were 37.6%, 37.5%, and 18.3%, respectively. Participants in the highest TyG index quartile had a significantly increased risk of all hypertension subtypes compared to those in the lowest quartile. Trend analysis showed that each 1-unit increase in the TyG index was associated with increased risks of HTN (OR = 1.39, 95% CI: 1.18-1.63), SHTN (OR = 1.33, 95% CI: 1.11-1.60), HTN-I (OR = 1.30, 95% CI: 1.09-1.55), and HTN-II (OR = 1.52, 95% CI: 1.22-1.89) (P for trend < 0.01). ROC curve analysis determined optimal TyG cutoff values for predicting HTN (8.96), SHTN (8.96), HTN-I (8.96), and HTN-II (9.11), but modest discriminatory ability of the TyG index for these abnormal blood pressure subtypes (all P < 0.001), with areas under the curves (AUCs) ranging from 0.56 to 0.58. An elevated TyG index is independently associated with abnormal blood pressure in the elderly, with a particularly strong association observed for HTN-II. Although its discriminatory power as a standalone diagnostic tool is limited, the index may serve as a useful auxiliary factor for hypertension risk assessment in this population.