Impaired GK-GKRP interaction rather than direct GK activation worsens lipid profiles and contributes to long-term complications: a Mendelian randomization study.

BACKGROUND: Glucokinase (GK) plays a key role in glucose metabolism. In the liver, GK is regulated by GK regulatory protein (GKRP) with nuclear sequestration at low plasma glucose level. Some GK activators (GKAs) disrupt GK-GKRP interaction which increases hepatic cytoplasmic GK level. Excess hepatic GK activity may exceed the capacity of glycogen synthesis with excess triglyceride formation. It remains uncertain whether hypertriglyceridemia associated with some GKAs in previous clinical trials was due to direct GK activation or impaired GK-GKRP interaction. METHODS: Using publicly available genome-wide association study summary statistics, we selected independent genetic variants of GCKR and GCK associated with fasting plasma glucose (FPG) as instrumental variables, to mimic the effects of impaired GK-GKRP interaction and direct GK activation, respectively. We applied two-sample Mendelian Randomization (MR) framework to assess their causal associations with lipid-related traits, risks of metabolic dysfunction-associated steatotic liver disease (MASLD) and cardiovascular diseases. We verified these findings in one-sample MR analysis using individual-level statistics from the Hong Kong Diabetes Register (HKDR). RESULTS: Genetically-proxied impaired GK-GKRP interaction increased plasma triglycerides, low-density lipoprotein cholesterol and apolipoprotein B levels with increased odds ratio (OR) of 14.6 (95% CI 4.57-46.4) per 1 mmol/L lower FPG for MASLD and OR of 2.92 (95% CI 1.78-4.81) for coronary artery disease (CAD). Genetically-proxied GK activation was associated with decreased risk of CAD (OR 0.69, 95% CI 0.54-0.88) and not with dyslipidemia. One-sample MR validation in HKDR showed consistent results. CONCLUSIONS: Impaired GK-GKRP interaction, rather than direct GK activation, may worsen lipid profiles and increase risks of MASLD and CAD. Development of future GKAs should avoid interfering with GK-GKRP interaction.

Aggravating effect of abnormal low-density protein cholesterol level on coronary atherosclerotic plaque in type 2 diabetes mellitus patients assessed by coronary computed tomography angiography.

BACKGROUND: The abnormal low-density protein cholesterol (LDL-C) level in the development of atherosclerosis is often comorbid in individuals with type 2 diabetes mellitus(T2DM). This study aimed to investigate the aggravating effect of abnormal LDL-C levels on coronary artery plaques assessed by coronary computed tomography angiography (CCTA) in T2DM. MATERIALS AND METHODS: This study collected 3439 T2DM patients from September 2011 to February 2022. Comparative analysis of differences in coronary plaque characteristics was performed for the patients between the normal LDL-C level group and the abnormal LDL-C level group. Factors with P < 0.1 in the univariable linear regression analyses were included in the multivariable linear stepwise regression. RESULTS: A total of 2820 eligible T2DM patients were included and identified as the normal LDL-C level group (n = 973) and the abnormal LDL-C level group (n = 1847). Compared with the normal LDL-C level group, both on a per-patient basis and per-segment basis, patients with abnormal LDL-C level showed more calcified plaques, partially calcified plaques, low attenuation plaques, positive remodellings, and spotty calcifications. Multivessel obstructive disease (MVD), nonobstructive stenosis (NOS), obstructive stenosis (OS), plaque involvement degree (PID), segment stenosis score (SSS), and segment involvement scores (SIS) were likely higher in the abnormal LDL-C level group than that in the normal LDL-C level group (P < 0.001). In multivariable linear stepwise regression, the abnormal LDL-C level was validated as an independent positive correlation with high-risk coronary plaques and the degree and extent of stenosis caused by plaques (low attenuation plaque: ß = 0.116; positive remodelling: ß = 0.138; spotty calcification: ß = 0.091; NOS: ß = 0.427; OS: ß = 0.659: SIS: ß = 1.114; SSS: ß = 2.987; PID: ß = 2.716, all P value < 0.001). CONCLUSIONS: Abnormal LDL-C levels aggravate atherosclerotic cardiovascular disease (ASCVD) in patients with T2DM. Clinical attention deserves to be caught by the tailored identification of cardiovascular risk categories in T2DM individuals and the achievement of the corresponding LDL-C treatment goal.

Serum Lipid Profile and Its Association with Newly Diagnosed Hypertensive Patients in Bangladesh.

Clustering of hypertension, dyslipidemia, and other metabolic abnormalities is increasing the burden of non-communicable diseases, especially cardiovascular disease. The objective of this study was to explore the pattern of lipid profiles in newly diagnosed hypertensive patients attending Shaheed Mansur Ali Medical College, Dhaka, Bangladesh from August 2020 to December 2020. A total of 59 newly diagnosed hypertensive patients were studied through a cross-sectional approach. Prior to the study, ethical clearance was ensured, and informed written consent was obtained. A pre-structured questionnaire was used for data collection. Collected data were analyzed using SPSS 24.0 version. Slight male preponderance (54.2%) was observed along with an average age of 45 years among studied patients. Raised levels of total cholesterol (TC), triglyceride (TG), and low-density lipoprotein (LDL) were observed in 91.5%, 98.3%, and 88.1% of patients accordingly. Low level of high-density lipoprotein (HDL) was observed in 47.5% of the patients. Mean TC, TG, LDL, HDL were 286.11±347.37, 311.74±122.76, 163.27±33.67 and 38.29±6.66 mg/dl, respectively. Almost all patients were obese. There is no correlation between the serum lipid profile and blood pressure of the patients. Dyslipidemia was highly prevalent among newly diagnosed hypertensive patients.

Correlation of Body Mass Index with Serum Lipid Profile Level in Adolescent Students of Bangladesh.

Obesity is associated with metabolic disorders such as dyslipidaemia, diabetes mellitus (DM), hypertension (HTN) and cardiovascular disease (CVD). There has been rising burden of childhood and adolescent obesity in most developing countries in recent years. Changes in dietary habits, junk and fast food, physical inactivity and smoking habits increases among adolescent students, which causes obesity and simultaneously increases risk of metabolic diseases. The objective of the study is to determine the correlation between Body Mass Index (BMI) and lipid profile among adolescent students of Bangladesh. This cross-sectional observational study was conducted among 79 undergraduate healthy adolescent students, aged 10-18 years who were selected through purposive sampling. The study was conducted from July 2022 to June 2023 in urban and rural areas of Dhaka, Narayanganj and Rangpur. Data was collected using a semi-structured questionnaire. Correlation of dyslipidemia and BMI was analyzed by Pearson Coefficient. Data was analyzed using SPSS version 22.0 with level of statistical significance at p<0.05. Mean age of the respondents was 14.9±4.5 years. Male and female ratio was 2.16:1. Among respondents, 46.8% had BMI 18.5-23.0 (normal), 31.6% had BMI 23.1-25.0 (overweight) and 21.5% had BMI >25.0 (obese). Prevalence of dyslipidaemia was 34.1%. Overweight and obese respondents had raised total cholesterol (TC) level 209.51±48.6 mg/dl and 218.36±80.0 mg/dl respectively. Mean high density lipoprotein (HDL) cholesterol level was 38.91±10.51 mg/dl in overweight and 36.54±10.04 mg/dl in obese. Mean low density lipoprotein (LDL) cholesterol level was 135.23±44.5 mg/dl in overweight and 143.61±56.0 mg/dl in obese. Among obese cases, 94.1% respondents had borderline triglyceride (TG) with mean 164.46±111.0 mg/dl. Among the study respondents, overweight and obesity (higher BMI) tend to have abnormal lipid profile. It is recommended that assessment of BMI should be incorporated into school health programme and those with overweight and obesity should be subjected to routine lipogram in order to apply timely preventive as well as therapeutic measures to save lives.

One-Year Effects of High-Intensity Statin on Bioactive Lipids: Findings From the JUPITER Trial.

BACKGROUND: Statin effects extend beyond low-density lipoprotein cholesterol reduction, potentially modulating the metabolism of bioactive lipids (BALs), crucial for biological signaling and inflammation. These bioactive metabolites may serve as metabolic footprints, helping uncover underlying processes linked to pleiotropic effects of statins and yielding a better understanding of their cardioprotective properties. This study aimed to investigate the impact of high-intensity statin therapy versus placebo on plasma BALs in the JUPITER trial (Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin; NCT00239681), a randomized primary prevention trial involving individuals with low-density lipoprotein cholesterol <130 mg/dL and high-sensitivity C-reactive protein ≥2 mg/L. METHODS: Using a nontargeted mass spectrometry approach, over 11 000 lipid features were assayed from baseline and 1-year plasma samples from cardiovascular disease noncases from 2 nonoverlapping nested substudies: JUPITERdiscovery (n=589) and JUPITERvalidation (n=409). The effect of randomized allocation of rosuvastatin 20 mg versus placebo on BALs was examined by fitting a linear regression with delta values (∆=year 1-baseline) adjusted for age and baseline levels of each feature. Significant associations in discovery were analyzed in the validation cohort. Multiple comparisons were adjusted using 2-stage overall false discovery rate. RESULTS: We identified 610 lipid features associated with statin randomization with significant replication (overall false discovery rate, <0.05), including 26 with annotations. Statin therapy significantly increased levels of 276 features, including BALs with anti-inflammatory activity and arterial vasodilation properties. Concurrently, 334 features were significantly lowered by statin therapy, including arachidonic acid and proinflammatory and proplatelet aggregation BALs. By contrast, statin therapy reduced an eicosapentaenoic acid-derived hydroxyeicosapentaenoic acid metabolite, which may be related to impaired glucose metabolism. Additionally, we observed sex-related differences in 6 lipid metabolites and 6 unknown features. CONCLUSIONS: Statin allocation was significantly associated with upregulation of BALs with anti-inflammatory, antiplatelet aggregation and antioxidant properties and downregulation of BALs with proinflammatory and proplatelet aggregation activity, supporting the pleiotropic effects of statins beyond low-density lipoprotein cholesterol reduction.

The association of cumulative low-density lipoprotein cholesterol exposure and carotid intima-media thickness in a young adulthood population.

OBJECTIVE: To investigate the association between cumulative exposure to low-density lipoprotein cholesterol (LDL-C) and carotid intima-media thickness (IMT) in the young adulthood population. METHODS: Young adult subject (18-45 year old) from the Kailuan Study group who participated in the same period of follow-up and received carotid artery ultrasound were selected as the observation subjects. Among them, 3651 cases met the inclusion criteria, which required that carotid artery color ultrasound examinations be completed from 2010 to 2016, with complete IMT measurements, LDL-C data collected at least twice before carotid ultrasound, and participants' age to be ≤ 45 years at the time of carotid artery color ultrasound examination. Linear regression was used to analyze the correlation between time-weighted average (TWA) to LDL-C cumulative exposure and IMT the young population. Logistic regression was used to analyze the effects of different TWA groups on IMT thickening. Considering that the use of anti hypertensive drugs and lipid-lowering drugs may affect TWA LDL-C, this study excluded people taking antihypertensive drugs and lipid-lowering drugs, and conducted a repeat analysis of the main results. RESULTS: There was a positive correlation between TWA LDL-C and IMT, with IMT increasing by 0.017 mm when TWA LDL-C increased by 1 mmol/L * year. The TWA LDL-C in the highest group was identified as a risk factor for IMT thickening, with odds ratio (OR) values of 1.812(1.027 ~ 3.200) in the T3 group. After excluding patients taking antihypertensive drugs and lipid-lowering drugs, the results still showed that the T3 group with the highest TWA LDL-C was a risk factor for IMT thickening, with an OR value of 1.850(0.988-3.464), P for trend is 0.043. CONCLUSION: This cohort study revealed that TWA LDL-C is positively correlated with IMT in young adulthood for risk stratification, and control LDL-C levels at an earlier age may reduce the lifetime risk of developing atherosclerotic disease. TRIAL REGISTRATION: ChiCTR-TNC-11001489.

The Effect of Different Statin-Based Lipid-Lowering Strategies on C-Reactive Protein Levels in Patients With Stable Coronary Artery Disease.

BACKGROUND: Statins are lipid-lowering drugs with favorable anti-inflammatory effects. This study aimed to explore different statin-based lipid-lowering strategies to reduce high-sensitivity C-reactive protein (hs-CRP). HYPOTHESIS: The hypothesis is that different statin-based lipid-lowering strategies might reduce hs-CRP. METHODS: This retrospective study included 3653 patients who underwent percutaneous coronary intervention (PCI). Three statin-based lipid-lowering strategies were investigated, including different types of statins (atorvastatin vs. rosuvastatin), statin combined with ezetimibe therapy (vs. without), and intensive statin therapy (vs. regular). The hs-CRP levels and blood lipid indicators were measured at baseline and after 1-month lipid-lowering therapy. Multivariable linear regression analysis and structural equation mode analysis were conducted to verify the association between different lipid-lowering strategies, Δhs-CRP (%) and ΔLDL-C (%). RESULTS: Totally, 3653 patients were enrolled with an average age of 63.81 years. Multivariable linear regression demonstrated that statin combined with ezetimibe therapy was significantly associated with decreased Δhs-CRP (%) (ß = -0.253, 95% CI: [-0.501 to -0.005], p = 0.045). The increased ΔLDL-C (%) was an independent predictor of elevated levels of Δhs-CRP (%) (ß = 0.487, 95% CI: [0.15-0.824], p = 0.005). Furthermore, structural equation model analysis proved that statin combined with ezetimibe therapy (ß = -0.300, p < 0.001) and intensive statin therapy (ß = -0.032, p = 0.043) had an indirect negative effect on Δhs-CRP via ΔLDL-C. CONCLUSIONS: Compared with routine statin use, statin combined with ezetimibe therapy and intensive statin therapy could further reduce hs-CRP levels.

Genetic Architecture and Clinical Outcomes of Combined Lipid Disturbances.

BACKGROUND: Dyslipoproteinemia often involves simultaneous derangements of multiple lipid traits. We aimed to evaluate the phenotypic and genetic characteristics of combined lipid disturbances in a general population-based cohort. METHODS: Among UK Biobank participants without prevalent coronary artery disease, we used blood lipid and apolipoprotein B concentrations to ascribe individuals into 1 of 6 reproducible and mutually exclusive dyslipoproteinemia subtypes. Incident coronary artery disease risk was estimated for each subtype using Cox proportional hazards models. Phenome-wide analyses and genome-wide association studies were performed for each subtype, followed by in silico causal gene prioritization and heritability analyses. Additionally, the prevalence of disruptive variants in causal genes for Mendelian lipid disorders was assessed using whole-exome sequence data. RESULTS: Among 450 636 UK Biobank participants: 63 (0.01%) had chylomicronemia; 40 005 (8.9%) had hypercholesterolemia; 94 785 (21.0%) had combined hyperlipidemia; 13 998 (3.1%) had remnant hypercholesterolemia; 110 389 (24.5%) had hypertriglyceridemia; and 49 (0.01%) had mixed hypertriglyceridemia and hypercholesterolemia. Over a median (interquartile range) follow-up of 11.1 (10.4-11.8) years, incident coronary artery disease risk varied across subtypes, with combined hyperlipidemia exhibiting the largest hazard (hazard ratio, 1.92 [95% CI, 1.84-2.01]; P=2×10-16), even when accounting for non-HDL-C (hazard ratio, 1.45 [95% CI, 1.30-1.60]; P=2.6×10-12). Genome-wide association studies revealed 250 loci significantly associated with dyslipoproteinemia subtypes, of which 72 (28.8%) were not detected in prior single lipid trait genome-wide association studies. Mendelian lipid variant carriers were rare (2.0%) among individuals with dyslipoproteinemia, but polygenic heritability was high, ranging from 23% for remnant hypercholesterolemia to 54% for combined hyperlipidemia. CONCLUSIONS: Simultaneous assessment of multiple lipid derangements revealed nuanced differences in coronary artery disease risk and genetic architectures across dyslipoproteinemia subtypes. These findings highlight the importance of looking beyond single lipid traits to better understand combined lipid and lipoprotein phenotypes and implications for disease risk.

Diet-related inflammation is positively associated with atherogenic indices.

Current evidence suggests that non-traditional serum lipid ratios are more effective than traditional serum lipid parameters in predicting vascular diseases, and both of them are associated with dietary patterns. Therefore, this study aimed to investigate the relationship between the dietary inflammatory index (DII) and atherogenic indices using traditional serum lipid parameters (triglyceride (TG), total cholesterol (TC), LDL cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c)) and non-traditional serum lipid ratios (atherogenic index of plasma (AIP), Castelli's index-I (CRI_I), Castelli's index-II (CRI_II), the lipoprotein combination index (LCI), and the atherogenic coefficient (AC)). Basic information from the Ravansar Non-Communicable Diseases cohort study was utilized in the present cross-sectional observational study. The study included 8870 adults aged 35-65 years. A validated food frequency questionnaire (FFQ) was used to measure DII. We compared the distributions of outcomes by DII score groups using multivariable linear regression. The difference between DII score groups was evaluated by the Bonferroni test. The mean ± SD DII was - 2.5 ± 1.43, and the prevalence of dyslipidemia was 44%. After adjusting for age, sex, smoking status, alcohol consumption status, physical activity, systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood sugar (FBS), body mass index (BMI) and socioeconomic status (SES), participants in the highest quartile of DII had a greater risk for CRI_I (ß = 0.11, CI 0.05, 0.18), CRI_II (ß = 0.06, CI 0.01, 0.11), LCI (ß = 0.11, CI 288.12, 8373.11), AC (ß = 0.11, CI 0.05, 0.17) and AIP (ß = 0.06, CI 0.02, 0.10). Moreover, according to the adjusted logistic regression model, the risk of dyslipidemia significantly increased by 24% (OR: 1.24, 95% CI 1.08-1.41), 7% (OR: 1.07, 95% CI 0.94, 1.21) and 3% (OR: 1.03, 95% CI 0.91, 1.16) in Q4, Q3 and Q2 of the DII, respectively. Finally, diet-related inflammation, as estimated by the DII, is associated with a higher risk of CRI-I, CRI-II, LCI, AC, and AIP and increased odds of dyslipidemia.

Adherence to Current Dyslipidemia Guideline in Patients Utilizing Statins According to Risk Groups and Gender Differences: The AIZANOI Study.

BACKGROUND: The aim of this study was to assess the adherence to the current European Society of Cardiology dyslipidemia guidelines, the ratio of reaching target values according to risk groups, and the reasons for not reaching LDL-cholesterol (LDL-C) goals in patients on already statin therapy in a cardiology outpatient population. METHODS: The AIZANOI study is a multi-center, cross-sectional observational study including conducted in 9 cardiology centers between August 1, 2021, and November 1, 2021. RESULTS: A total of 1225 patients (mean age 62 ± 11 years, 366 female) who were already on statin therapy for at least 3 months were included. More than half (58.2%) of the patients were using high-intensity statin regimens. Only 26.2% of patients had target LDL-C level according to their risk score. Despite 58.4% of very high-risk patients and 44.4% of high-risk patients have been using a high-intensity statin regimen, only 24.5% of very-high-risk patients and only 34.9% of high-risk patients have reached guideline-recommended LDL-C levels. Most prevalent reason for not using target dose statin was physician preference (physician inertia) (40.3%). CONCLUSION: The AIZANOI study showed that we achieved a target LDL-C level in only 26.2% of patients using statin therapy. Although 58.4% of patients with a very high SCORE risk and 44.4% of patients with a high SCORE risk were using a target dose statin regimen, we were only able to achieve guideline-recommended LDL-C levels in 24.5% and 34.9% of them, respectively, in cardiology outpatients clinics. Physician inertia is one of the major factors in non-adherence to guidelines. These findings highlight that combination therapy is needed in most of the patients.

Assessment of leukocyte and systemic inflammation index ratios in dyslipidemia patients with dry eye disease: a retrospective case‒control study.

BACKGROUND: Dry eye disease (DED) is a complication of dyslipidemia (DLP) that is caused by metabolic syndrome and increased inflammation. This research aimed to assess leukocyte and systemic inflammation index ratios as potential biomarkers for systemic inflammation in dyslipidemia patients with dry eye disease (DLP-DED). METHODS: Several blood biomarkers were studied in 32 patients with DLP-DED (study group) and 63 patients with DLP-only (control group). The evaluated blood biomarkers included specific systemic inflammation index ratios, such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and neutrophil-to-lymphocyte and platelet ratio (NLPR), and lipid profiles, such as total cholesterol (TC), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), triglyceride (TG), albumin (ALB), and C-reactive protein (CRP) levels. RESULTS: Lymphocyte levels were significantly greater in the DLP-DED group than in the DLP-only group (P = 0.044). In addition, a significant negative correlation between HDL and the NLPR (P = 0.007; r= -0.428) and a significant negative correlation between the serum ALB concentration and the PLR (P = 0.008; r= -0.420) were identified as potential inflammatory predictors of DLP-DED. CONCLUSION: The findings of this study suggest that patients with DLP-DED may benefit from routine blood monitoring of their elevated lipid profile and blood inflammatory biomarkers, such as CRP, leukocytes, and systemic inflammation index ratios (NLR, PLR, MLR, and NLPR), to reduce the complications of DLP on ocular health. The correlation data suggest that the NLPR, PLR, serum ALB concentration, and serum HDL concentration may be valuable inflammatory biomarkers in DLP-DED patients. More research is required to ascertain the significance of the NLR, PLR, MLR, and NLPR and the additive role that leukocytes play.

Statistically verified methods for determining predictors of development of arterial hypertension depending on endothelial nitric oxide synthase T786C gene promoter polymorphism using lipid profile indicators.

Objective. Polymorphism investigation of T786C gene promoter of endothelial nitric oxide synthase (eNOS/NOS3) in the arterial hypertension is a promising field for determining the relationship between heredity, hypertension, and dyslipidemia, which still remains controversial. The purpose of the study was to investigate the lipid profile, which depends on the NOS3 T786C gene promotor region polymorphism in patients with arterial hypertension. Methods. The study involved 86 patients with arterial hypertension. The control group consisted of 30 basically healthy individuals. The lipid profile in the blood serum of the studied patients was measured by commercially available kits using Biochem FC-200 analyzer (HTI, USA). The allelic polymorphism of NOS3 T786C gene promoter was studied using a polymerase chain reaction technique with electrophoretic detection of the results. Results. An increase at the level of all atherogenic fractions in the blood was found in the group of patients carrying the CC genotype compared with carriers of the TT genotype of the NOS3 gene. The total cholesterol serum level in the group of carriers of the CC genotype of NOS3 T786C gene promoter increased by 33.3% compared with carriers of the TT genotype and it was almost twice as high as the control values. In the group of carriers in the CC genotype of the NOS3 gene, the serum level of triglycerides was statistically significantly higher (2.9 times) than in the group of carriers of the TT genotype. The low-density lipoprotein (LDL) and very low-density lipoprotein (VLDL) serum levels significantly increased in patients with arterial hypertension with the CC genotype by 1.6 and 4.6 times, respectively, compared with the TT genotype carriers. The high-density lipoprotein (HDL) serum level, as an antiatherogenic factor, was statistically significantly lower (by 45.8%) in the group of the CC genotype carriers of the NOS3 gene than in the group with carriers of the TT genotype (0.58±0.06 vs. 1.07±0.03 mmol/l.) Conclusions. The increase in all atherogenic and decrease in antiatherogenic lipid parameters of the lipidogram of patients with arterial hypertension and the deepening of dyslipidemia in carriers of the CC genotype compared with carriers of the TT genotype of the NOS3 T786C gene promoter is crucial in the development of dyslipidemia.

[Study on the relationship between hemoglobin glycosylation index and arteriosclerosis- related blood lipids].

Objective: To study the relationship between hemoglobin glycation index (HGI) and blood lipid indices such as low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), and plasma atherogenic index (AIP). Methods: This cross-sectional study included 16 049 participants from the Beijing Apple Garden community between December 2011 and August 2012. The subjects were divided into three groups based on the HGI quartile: low (n=5 388), medium (n=5 249), and high (n=5 412). The differences in blood lipid indicators between different HGI groups were compared and multivariate logistic regression model was established to analyze the association between HGI and dyslipidemia. And multivariate logistic regression model was established to analyze the relationship between HGI and blood lipid indicators in different glucose metabolism populations. Results: There were 16 049 participants in all (mean age: 56 years), including 10 452 women (65.1%). They were classified into normal glucose tolerance (9 093 cases), prediabetes (4 524 cases), and diabetes (2 432 cases) based on glucose tolerance status. In the general population, with the increase of HGI, LDL-C, non-HDL-C, and AIP gradually increased (all P values for trends were <0.05), and the proportion of abnormalities increased significantly (χ2=101.40, 42.91, 39.80; all P<0.001). A multivariate logistic regression model was established, which suggested a significant correlation between HGI and LDL-C, non-HDL-C, and AIP (all P<0.05), after adjusting for factors such as age, sex, fasting blood glucose, hypertension, body mass index, smoking, and alcohol consumption. In the overall population, normal glucose tolerance group, and diabetes group, HGI had the highest correlation with non-HDL-C (OR values of 1.325, 1.678, and 1.274, respectively); in the prediabetes group, HGI had a higher correlation with LDL-C (OR value: 1.510); and in different glucose metabolism groups, AIP and HGI were both correlated (OR: 1.208-1.250), but not superior to non-HDL-C and LDL-C. Conclusion: HGI was closely related to LDL-C, non HDL-C, and AIP in the entire population and people with different glucose metabolism, suggesting that HGI may be a predictor of atherosclerotic cardiovascular disease.

Association between atherogenic index of plasma and new-onset stroke in individuals with different glucose metabolism status: insights from CHARLS.

BACKGROUND: Circulating atherogenic index of plasma (AIP) levels has been proposed as a novel biomarker for dyslipidemia and as a predictor of insulin resistance (IR) risk. However, the association between AIP and the incidence of new-onset stroke, particularly in individuals with varying glucose metabolism status, remains ambiguous. METHODS: A total of 8727 participants aged 45 years or older without a history of stroke from the China Health and Retirement Longitudinal Study (CHARLS) were included in this study. The AIP was calculated using the formula log [Triglyceride (mg/dL) / High-density lipoprotein cholesterol (mg/dL)]. Participants were divided into four groups based on their baseline AIP levels: Q1 (AIP ≤ 0.122), Q2 (0.122 < AIP ≤ 0.329), Q3 (0.329 < AIP ≤ 0.562), and Q4 (AIP > 0.562). The primary endpoint was the occurrence of new-onset stroke events. The Kaplan-Meier curves, multivariate Cox proportional hazard models, and Restricted cubic spline analysis were applied to explore the association between baseline AIP levels and the risk of developing a stroke among individuals with varying glycemic metabolic states. RESULTS: During an average follow-up of 8.72 years, 734 participants (8.4%) had a first stroke event. The risk for stroke increased with each increasing quartile of baseline AIP levels. Kaplan-Meier curve analysis revealed a significant difference in stroke occurrence among the AIP groups in all participants, as well as in those with prediabetes mellitus (Pre-DM) and diabetes mellitus (DM) (all P values < 0.05). After adjusting for potential confounders, the risk of stroke was significantly higher in the Q2, Q3, and Q4 groups than in the Q1 group in all participants. The respective hazard ratios (95% confidence interval) for stroke in the Q2, Q3, and Q4 groups were 1.34 (1.05-1.71), 1.52 (1.19-1.93), and 1.84 (1.45-2.34). Furthermore, high levels of AIP were found to be linked to an increased risk of stroke in both pre-diabetic and diabetic participants across all three Cox models. However, this association was not observed in participants with normal glucose regulation (NGR) (p > 0.05). Restricted cubic spline analysis also demonstrated that higher baseline AIP levels were associated with higher hazard ratios for stroke in all participants and those with glucose metabolism disorders. CONCLUSIONS: An increase in baseline AIP levels was significantly associated with the risk of stroke in middle-aged and elderly individuals, and exhibited distinct characteristics depending on the individual's glucose metabolism status.

The association of obesogenic environments with weight status, blood pressure, and blood lipids: A cross-sectional pooled analysis across five cohorts.

In this observational cross-sectional study, we investigated the relationship between combined obesogenic neighbourhood characteristics and various cardiovascular disease risk factors in adults, including BMI, systolic blood pressure, and blood lipids, as well as the prevalence of overweight/obesity, hypertension, and dyslipidaemia. We conducted a large-scale pooled analysis, comprising data from five Dutch cohort studies (n = 183,871). Neighbourhood obesogenicity was defined according to the Obesogenic Built-environmental CharacterisTics (OBCT) index. The index was calculated for 1000m circular buffers around participants' home addresses. For each cohort, the association between the OBCT index and prevalence of overweight/obesity, hypertension and dyslipidaemia was analysed using robust Poisson regression models. Associations with continuous measures of BMI, systolic blood pressure, LDL-cholesterol, HDL-cholesterol, and triglycerides were analysed using linear regression. All models were adjusted for age, sex, education level and area-level socio-economic status. Cohort-specific estimates were pooled using random-effects meta-analyses. The pooled results show that a 10 point higher OBCT index score was significantly associated with a 0.17 higher BMI (95%CI: 0.10 to 0.24), a 0.01 higher LDL-cholesterol (95% CI: 0.01 to 0.02), a 0.01 lower HDL cholesterol (95% CI: -0.02 to -0.01), and non-significantly associated with a 0.36 mmHg higher systolic blood pressure (95%CI: -0.14 to 0.65). A 10 point higher OBCT index score was also associated with a higher prevalence of overweight/obesity (PR = 1.03; 95% CI: 1.02 to 1.05), obesity (PR = 1.04; 95% CI: 1.01 to 1.08) and hypertension (PR = 1.02; 95% CI: 1.00 to 1.04), but not with dyslipidaemia. This large-scale pooled analysis of five Dutch cohort studies shows that higher neighbourhood obesogenicity, as measured by the OBCT index, was associated with higher BMI, higher prevalence of overweight/obesity, obesity, and hypertension. These findings highlight the importance of considering the obesogenic environment as a potential determinant of cardiovascular health.

Coronary artery calcium in 2023: Guidelines for LDL-C goals, non-statin therapies, and aspirin use.

Personalizing risk assessment and treatment decisions for the primary prevention of atherosclerotic cardiovascular disease (ASCVD) rely on pooled cohort equations and increasingly coronary artery calcium (CAC) score. A growing body of evidence supports that elevated CAC scores correspond to progressively elevated ASCVD risk, and that scores of ≥100, ≥300, and ≥1000 denote risk that is equivalent to certain secondary prevention populations. This has led consensus guidelines to incorporate CAC score thresholds for guiding escalation of preventive therapy for lowering low-density lipoprotein cholesterol goals, initiation of non-statin lipid lowering medications, and use of low-dose daily aspirin. As data on CAC continues to grow, more decision pathways will incorporate CAC score cutoffs to guide management of blood pressure and cardiometabolic medications. CAC score is also being used to enrich clinical trial study populations for elevated ASCVD risk, and to screen for subclinical coronary atherosclerosis in patients who received chest imaging for other diagnostic purposes.

Comparison of the pleiotropic effect of atorvastatin and rosuvastatin on postmenopausal changes in bone turnover: A randomized comparative study.

BACKGROUND: Statins are the first-line treatment for dyslipidemia, which is a major modifiable risk factor for atherosclerotic cardiovascular disease. Studies have shown that in addition to the beneficial lipid-lowering effect, statins also exhibit a number of pleiotropic effects that may find application in other diseases, including osteoporosis. This study aimed to assess the effect of statins on bone turnover, as measured by the concentration of bone turnover markers, and to compare the effect of atorvastatin as a lipophilic statin and rosuvastatin as a hydrophilic statin. METHODS: This study included 34 postmenopausal women aged < 65 years with newly diagnosed dyslipidemia requiring statin therapy. Patients were randomly assigned to receive a statin drug. Statins were initiated at standard doses of 5 to 10 mg of rosuvastatin and 20 mg of atorvastatin. The levels of C-terminal telopeptide of type I collagen as a bone resorption marker and N-terminal propeptide of procollagen type I as a marker of bone formation, lipid concentrations and other biochemical parameters were assessed at baseline and after 6 and twelve months of treatment. RESULTS: There were no statistically significant differences between the levels of bone turnover markers before and 6 months after statin implementation (P > .05) - for all patients or subgroups according to statin use. Analysis of the results showed that after 12 months, there was a statistically significant decrease in N-terminal propeptide of procollagen type I concentration in all subjects (P = .004). By statin subgroup, a statistically significant decrease in N-terminal propeptide of procollagen type I was observed only in patients receiving rosuvastatin (P = .012) and not in those receiving atorvastatin (P = .25). Moreover, changes in bone turnover markers did not correlate with changes in lipid concentrations. CONCLUSIONS: These results may indicate the superiority of atorvastatin over rosuvastatin in inhibiting adverse changes in bone turnover in postmenopausal women. Confirmed by studies involving a larger population, the observed differences might find particular applications in clinical practice, and the choice of atorvastatin over rosuvastatin for women could be considered in the early postmenopausal period to reduce the risk of osteoporosis and subsequent osteoporotic fractures.

Cardiovascular Risk Profile in Master Paralympic Athletes, a High-Risk Undertreated Population: A Cross-Sectional Longitudinal Study.

INTRODUCTION: Recently, European Society of Cardiology (ESC) validated a prediction model to estimate 10-year fatal and non-fatal cardiovascular disease risk (CVDR) in individuals (aged 40-60 years) without previous cardiovascular disease or diabetes (ESC-SCORE2) and to provide indications for treatment. At present, data describing the CVDR in Paralympic athletes (PAs) are scarce and inconsistent. Therefore, we sought to assess the prevalence of risk factors in PAs to estimate their CVDR through SCORE2. METHODS: We enrolled 99 PAs aged ≥ 40 y.o., who participated at 2012-2022 Paralympic Games, competing in 22 different sport disciplines classified according to sport type (power, skills, endurance and mixed) and disabilities: spinal cord injuries (SCI) and non-SCI. CVDR factors, anthropometric measurements and blood samples were collected. RESULTS: Among the 99 PAs (78% males, mean age 45.7 ± 4.7 y.o.), 52.5% had SCI; 54% were dyslipidemic and 23% were smokers. According to ESC-SCORE2, 29% had high and 1% very-high CVDR. Women (compared to men) and endurance (compared to other sport) exhibited better CV profile. SCI showed no differences when compared with non-SCI for CVDR, excepted for a lower HDL and lower exercise performance. None of the dyslipidemic athlete was on pharmacologically treatment, despite the altered lipid profile had already been detected at younger age. CONCLUSION: PAs are a selected population, presenting a high CV risk profile, with 30% showing either high or very-high CVDR according to ESC-SCORE2. Dyslipidemia was the most common risk factor, underestimated and undertreated, emphasizing the need for specific preventive strategies in this special setting of athletes.