Causal association of blood lipids with all-cause and cause-specific mortality risk: a Mendelian randomization study.

Dyslipidemia has long been implicated in elevating mortality risk; yet, the precise associations between lipid traits and mortality remained undisclosed. Our study aimed to explore the causal effects of lipid traits on both all-cause and cause-specific mortality. One-sample Mendelian randomization (MR) with linear and nonlinear assumptions was conducted in a cohort of 407,951 European participants from the UK Biobank. Six lipid traits, consisting of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides, apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), and lipoprotein(a), were included to investigate the causal associations with mortality. Two-sample MR was performed to replicate the association between each lipid trait and all-cause mortality. Univariable MR results showed that genetically predicted higher ApoA1 was significantly associated with a decreased all-cause mortality risk (HR[95% CI]:0.93 [0.89-0.97], P value = 0.001), which was validated by the two-sample MR analysis. Higher lipoprotein(a) was associated with an increased risk of all-cause mortality (1.03 [1.01-1.04], P value = 0.002). Multivariable MR confirmed the direct causal effects of ApoA1 and lipoprotein(a) on all-cause mortality. Meanwhile, nonlinear MR found no evidence for nonlinearity between lipids and all-cause mortality. Our examination into cause-specific mortality revealed a suggestive inverse association between ApoA1 and cancer mortality, a significant positive association between lipoprotein(a) and cardiovascular disease mortality, and a suggestive positive association between lipoprotein(a) and digestive disease mortality. High LDL-C was associated with an increased risk of cardiovascular disease mortality but a decreased risk of neurodegenerative disease mortality. The findings suggest that implementing interventions to raise ApoA1 and decrease lipoprotein(a) levels may improve overall health outcomes and mitigate cancer and digestive disease mortality.

Association of blood lipid profiles and asthma: A bidirectional two-sample Mendelian randomization study.

BACKGROUND: Observational studies and meta-analyses have indicated associations between blood lipid profiles and asthma. However, the causal association is unknown. Therefore, this study investigated the causal relationship between blood lipid profiles and asthma using bidirectional Mendelian randomization analysis. METHODS AND MATERIALS: Our analyses were performed using individual data from the Taiwan Biobank and summary statistics from the Asian Genetic Epidemiology Network (AGEN). The causal estimates between all genetic variants, exposures of interest and asthma were calculated using an inverse-variance weighted method based on Taiwan Biobank data from 24,853 participants (mean age, 48.8 years; 49.8% women). Sensitivity analyses, including the weighted median, MR Egger regression, MR-PRESSO, mode-based estimate, contamination mixture methods, and leave-one-out analysis, were applied to validate the results and detect pleiotropy. RESULTS: In the inverse-variance weighted (IVW) analyses, we found evidence of a significant causal effect of an increased level of low-density lipoprotein cholesterol on asthma risk (ßIVW = 1.338, p = 0.001). A genetically decreased level of high-density lipoprotein cholesterol was also associated with asthma risk (ßIVW = -0.338, p = 0.01). We also found that an increased level of total cholesterol was associated with an increased risk of asthma (ßIVW = 1.343, p = 0.001). Several sensitivity analyses generated consistent findings. We did not find evidence to support the causality between asthma and blood lipid profiles in either direction. CONCLUSION: Our results supported the causal relationship between higher levels of LDL cholesterol and total cholesterol and lower levels of HDL cholesterol with an increased risk of asthma.

Causal relationship between sleep apnea and non-alcoholic fatty liver disease: A Mendelian randomization study.

BACKGROUND: Observational studies indicate that sleep apnea is associated with non-alcoholic fatty liver disease (NAFLD) and its related metabolic features, independent of confounding factors including obesity. However, the causal relationships remain to be determined. METHODS: Univariable and multivariable Mendelian randomization (MR) analyses were performed to investigate the causal relationship between sleep apnea and NAFLD, along with its typical features including liver function, glycemic traits and lipid profiles. Summary-level data for sleep apnea were obtained from the Finngen consortium (33,423 cases and 307,648 controls). Summary-level data for NAFLD were available from a GWAS meta-analysis (8434 cases and 770,180 controls), and data for 12 NAFLD-related features from corresponding published GWASs. The inverse variance weighted (IVW) analysis was employed as the primary statistical method. Bidirectional MR and CAUSE analysis were conducted to avoid reverse causality and false positive findings. RESULTS: In univariable MR analyses, we found evidence to support a causal effect of genetically predicted sleep apnea on NAFLD (OR = 1.50, 95% CI = 1.18-1.91) and HDL-C (ß = -0.045, 95% CI = -0.090 to -0.001). In reverse MR, genetically predicted serum TG was associated with an increased risk of sleep apnea (OR = 1.07, 95% CI = 1.02-1.12), while genetically predicted HDL-C was associated with a decreased risk of sleep apnea (OR = 0.93, 95% CI = 0.89-0.98). After adjusting body mass index or educational attainment, none of these causal associations were retained. However, CAUSE method and MR analyses focusing on lipoprotein subfractions supported a causal effect of sleep apnea on HDL-C and HDL subfractions. CONCLUSION: This MR study indicated that sleep apnea has no direct causal association with NAFLD, elevated liver enzymes and insulin resistance. Our results showed suggestive inverse associations of genetically predicted sleep apnea on HDL-C and HDL subfractions, indicating that both HDL-C levels and HDL function may be causally implicated in sleep apnea.

Association of greenspaces exposure with cardiometabolic risk factors: a systematic review and meta-analysis.

BACKGROUND: Cardiometabolic conditions are major contributors to the global burden of disease. An emerging body of evidence has associated access to and surrounding public open spaces (POS) and greenspace with cardiometabolic risk factors, including obesity, body mass index (BMI), hypertension (HTN), blood glucose (BG), and lipid profiles. This systematic review aimed to synthesize this evidence. METHODS: This systematic review was conducted based on the PRISMA guidelines. Four electronic databases including Web of Science, PubMed, Scopus, and Google Scholar were searched for eligible articles published until July 2023. All observational studies which assessed the association of greenspace and POS with cardiometabolic risk factors including obesity, BMI, HTN, BG, and lipid profiles were included and reviewed by two authors independently. Heterogeneity between studies was assessed using the I2 index and Cochrane's Q test. Random/fixed effect meta-analyses were used to combine the association between greenspace exposure with cardiometabolic risk factors. RESULTS: Overall, 118 relevant articles were included in our review. The majority of the articles were conducted in North America or Europe. In qualitative synthesis, access or proximity to greenspaces or POS impacts BMI and blood pressure or HTN, BG, and lipid profiles via various mechanisms. According to the random effect meta-analysis, more access to greenspace was significantly associated with lower odds of HTN (odds ratio (OR): 0.81, 95% confidence intervals (CIs): 0.61-0.99), obesity (OR: 0.83, 95% CIs: 0.77-0.90), and diabetes (OR:0.79, 95% CI: 0.67,0.90). CONCLUSIONS: Findings of this systematic review and meta-analysis suggested that greenspace accessibility is associated with some cardiometabolic risk factors. Improving greenspace accessibility could be considered as one of the main strategies to reduce cardiometabolic risk factors at population level.

Association between maternal lipid profiles and lipid ratios in early to middle pregnancy as well as their dynamic changes and gestational diabetes mellitus.

BACKGROUND: Unfavourable lipid and glucose levels may play a crucial role in the pathogenesis of gestational diabetes mellitus (GDM). However, there is a lack of prospective studies on the relationship between lipid profiles, lipid ratios and GDM during pregnancy. AIMS: To prospectively investigate the relationship between lipid profile and lipid ratios in early and mid-pregnancy and their pattern of change from early to mid-pregnancy and the risk of GDM. METHODS: This nested case-control study was based on maternal and child healthcare hospitals from Fujian Province, China. We included pregnant women who delivered in the hospital from January 2021 to June 2023. Lipid profiles (TC, TG, ApoA1, ApoB, HDL-c, LDL-c) and fasting glucose were measured before 14 weeks of gestation and between 20 and 28 weeks of gestation, and lipid ratios (triglyceride glucose index, TG/HDL-c and TC/HDL-c) was constructed. Logistic regression was used to assess the relationship between lipid profile, lipid ratios and GDM. RESULTS: Of 1586 pregnant women, 741 were diagnosed with GDM. After adjusting for potential confounders, TG, ApoA1, ApoB, LDL-c, triglyceride glucose index, TG/HDL-c, and TC/HDL-c in early pregnancy were positively associated with the risk of GDM (odds ratios [95% CI] for extreme interquartile comparisons were 2.040 (1.468-2.843), 1.506 (1.091-2.082), 1.529 (1.110-2.107), 1.504 (1.086-2.086), 1.952 (1.398-2.731), 2.127 (1.526-2.971), and 2.370 (1.700-3.312), all trend P < 0.05). HDL-c was negatively associated with the risk of GDM (0.639: 0.459-0.889, trend P all less than 0.05). Similarly, in mid-pregnancy, lower levels of HDL-c, higher levels of triglyceride glucose index, TG/HDL-c ratio, and TC/HDL-c ratio were associated with increased risk of GDM (all trends P < 0.05). Stably high levels (both ≥ median for early and mid-pregnancy) of triglyceride glucose index, TG/HDL-c and TC/HDL-c were associated with increased risk of GDM (OR [95% CI]: 2.369 (1.438-3.940), 1.588 (1.077-2.341), 1.921 (1.309-2.829), respectively). The opposite was true for HDL-c, where stable high levels were negatively associated with GDM risk (OR [95% CI]: 0.599 (0.405-0.883)). CONCLUSION: Increases in triglyceride glucose index, TG/HDL-c ratio, and TC/HDL-c ratio in early and mid-pregnancy, as well as their stable high levels from early to mid-pregnancy, are associated with a higher risk of GDM. In contrast, increased levels of HDL-c, both in early and mid-pregnancy, and their stable high levels from early to mid-pregnancy were associated with a lower risk of GDM. That highlighted their possible clinical relevance in identifying those at high risk of GDM.

Lipid parameters, adipose tissue distribution and prognosis prediction in chronic kidney Disease patients.

BACKGROUND: Lipid management in clinic is critical to the prevention and treatment of Chronic kidney disease (CKD), while the manifestations of lipid indicators vary in types and have flexible association with CKD prognosis. PURPOSE: Explore the associations between the widely used indicators of lipid metabolism and their distribution in clinic and CKD prognosis; provide a reference for lipid management and inform treatment decisions for patients with non-dialysis CKD stage 3-5. METHODS: This is a retrospective cohort study utilizing the Self-Management Program for Patients with Chronic Kidney Disease Cohort (SMP-CKD) database of 794 individuals with CKD stages 3-5. It covers demographic data, clinical diagnosis and medical history collection, laboratory results, circulating lipid profiles and lipid distribution assessments. Primary endpoint was defined as a composite outcome(the initiation of chronic dialysis or renal transplantation, sustained decline of 40% or more in estimated glomerular filtration rate (eGFR), doubled of serum creatinine (SCr) from the baseline, eGFR less than 5 mL/min/1.73m2, or all-cause mortality). Exposure variables were circulating lipid profiles and lipid distribution measurements. Association were assessed using Relative risks (RRs) (95% confidence intervals (CIs)) computed by multivariate Poisson models combined with least absolute shrinkage and selection operator (LASSO) regression according to categories of lipid manifestations. The best model was selected via akaike information criterion (AIC), area under curve (AUC), receiver operating characteristic curve (ROC) and net reclassification index (NRI). Subgroup analysis and sensitivity analysis were performed to assess the interaction effects and robustness.. RESULTS: 255 individuals reached the composite outcome. Median follow-up duration was 2.03 [1.06, 3.19] years. Median age was 58.8 [48.7, 67.2] years with a median eGFR of 33.7 [17.6, 47.8] ml/min/1.73 m2. Five dataset were built after multiple imputation and five category-based Possion models were constructed for each dataset. Model 5 across five datasets had the best fitness with smallest AIC and largest AUC. The pooled results of Model 5 showed that total cholesterol (TC) (RR (95%CI) (per mmol/L) :1.143[1.023,1.278], P = 0.018) and percentage of body fat (PBF) (RR (95%CI) (per percentage):0.976[0.961,0.992], P = 0.003) were significant factors of composite outcome. The results indicated that comprehensive consideration of lipid metabolism and fat distribution is more critical in the prediction of CKD prognosis.. CONCLUSION: Comprehensive consideration of lipid manifestations is optimal in predicting the prognosis of individuals with non-dialysis CKD stages 3-5.

Association between lipid profiles and cigarette smoke among adults in the Persian cohort (Shahedieh) study.

OBJECTIVES: Exposure to cigarette smoke introduces a large amount of nicotine into the bloodstream through the lungs. So, smoking can be a risk factor for many diseases. The present study was conducted to investigate the effect of active and passive cigarette smoke on the blood lipid profile and dyslipidemia. METHODS: This cross-sectional study was performed on 5052 individuals who participated in the recruitment phase of the Shahedieh cohort study. A logistic regression model was used to investigate the relationship between smoking exposure status and lipid profiles. RESULTS: The prevalence of abnormal low-density lipoprotein-cholesterol (LDL-C), abnormal HDL-C, abnormal total cholesterol (TC), abnormal triglyceride (TG), and dyslipidemia were 254 (5.00%), 562 (11.10%), 470 (9.30%), 1008 (20.00%), and 1527 (30.20%), respectively. Adjusting for confounders, it was observed that current smokers had higher odds of having abnormal HDL-C [OR (95% CI), 2.90 (2.28-3.69)], abnormal TG [OR (95% CI), 1.71 (1.38-2.13)] and dyslipidemia [OR (95% CI), 1.86 (1.53-2.25)]. Ex-smokers also had greater odds of abnormal HDL-C [OR (95% CI), 1.51 (1.06-2.16)] compared to non-smokers who were not exposed to cigarette smoke. CONCLUSIONS: The findings indicated that current smokers had higher TG and lower HDL. So, necessary measures should be taken to reduce smoking. The findings also showed that the prevalence of abnormal TG and HDL in ex-smokers was lower than in current smokers. Therefore, the existence of incentive policies to quit smoking seems necessary.

In-stent restenosis estimation following carotid artery stenting: The robust predictive value of atherogenic index of plasma and other non-traditional lipid profiles.

OBJECTIVE: Atherosclerotic carotid artery stenosis is a significant contributor to ischemic strokes, and carotid artery stenting (CAS) has emerged as a pivotal treatment option. However, in-stent restenosis (ISR) remains a concern, impacting the long-term patency of CAS. This study aimed to investigate the predictive value of non-traditional lipid profiles, including the atherogenic index of plasma (AIP), in ISR development. METHODS: This retrospective single-center study involved patients presenting at a tertiary healthcare facility with severe carotid artery disease between 2016 and 2020 who subsequently underwent CAS. A total of 719 patients were included in the study. The study cohort was divided into ISR and non-ISR groups based on restenosis presence, confirmed by angiography following ultrasonographic follow-up assessments. Non-traditional lipid indices, such as AIP, atherogenic index (AI), and lipoprotein combined index (LCI), were evaluated along with traditional risk factors. RESULTS: During a 24-month follow-up, ISR occurred in 4.03% of patients. To determine the predictors of restenosis, three different models were constructed in multivariate analysis for non-traditional lipid indices. Multivariate analysis revealed AIP as a robust independent predictor of ISR (OR: 4.83 (CI 95 % 3.05-6.63, p < .001). Notably, AIP demonstrated superior predictive accuracy compared to AI and LCI, with a higher Area Under the Curve (AUC) of 0.971. CONCLUSION: Non-traditional lipid profiles, especially AIP, were found to be associated with an increased risk of ISR and may serve as predictors of ISR in patients undergoing CAS.

Effects of multi-walled carbon nanotubes and halloysite nanotubes on plasma lipid profiles and autophagic lipolysis pathways in mouse aortas and hearts.

Multi-walled carbon nanotubes (MWCNTs) and halloysite nanotubes (HNTs) are widely used tubular-structured nanomaterials (NMs), but their cardiovascular effects are not clear. This study compared the effects of MWCNTs and HNTs on lipid profiles in mouse plasma and gene expression profiles in aortas and hearts. Mice were intravenously injected with 50 µg NMs, once a day, for 5 days. Then, the plasma was collected for lipidomics analysis, and aortas and hearts were collected for RNA-sequencing analysis. While MWCNTs or HNTs did not induce obvious pathological changes in aortas or hearts, the lipid profiles in mouse plasma were altered. Further analysis revealed that MWCNTs more effectively upregulated sphingolipids and sterol lipids, whereas HNTs more effectively upregulated glycerophospholipids and fatty acyls. Consistently, RNA-sequencing data indicated that MWCNTs and HNTs altered signaling pathways related with lipid synthesis and metabolism, as well as those related with endoplasmic reticulum, lysosomes and autophagy, more significantly in aortas than in hearts. We further verified the changes of proteins involved in autophagic lipolysis, that MWCNTs were more effectively to suppress the autophagic biomarker LC3, whereas HNTs were more effectively to affect lipid metabolism proteins. These results may provide novel understanding about the influences of MWCNTs and HNTs on lipid profiles and lipid signaling pathways in cardiovascular systems. Importantly, previous studies considered HNTs as biocompatible materials, but the results from this study suggested that both MWCNTs and HNTs were capable to affect lipid profiles and autophagic lipolysis pathways in cardiovascular systems, although their exact influences were different.

Comparative study of Lepidium sativum orally administered seeds, hydrogel and atorvastatin on obesity of rats fed on a high fat diet.

BACKGROUND: Obesity has become a prevalent issue worldwide, leading to various complications such as hyperlipidemia, diabetes, and cardiovascular problems. Statins, as FDA approved anti-hyperlipidemic drugs, still pose some concerns upon their administration. Recently, researchers have looked for natural products as an alternative to manage hyperlipidemia and obesity. AIM: This work aimed to study the hypolipidemic effect of Lepidium sativum garden cress (GC) from different preparations; orally administered seeds, and hydrogel, in comparison to atorvastatin. METHODS: GC hydrogel was prepared from the GC aqueous extract and pharmaceutically evaluated for its pH, spreadability, seeds content, homogeneity, rheology, and in vitro release. The rat's body weight, blood glucose levels, total lipid profile, and liver biomarkers were evaluated on obese rats for one month. In addition, the histopathology study was also performed. RESULTS: GC hydrogel had acceptable pharmaceutical properties and showed a sustained release performance over 24 h. Oral and topical GC significantly reduced the lipid profiles, blood sugar and ALT, AST levels more than the negative control group and comparable to atorvastatin. It was found that oral GC showed a significant effect on the percentage decrease in the rat's body weight than the applied hydrogel. Histopathology study revealed a better outcome in the histological structure of pancreas and liver compared with rats feed on high fat diet post-treatment for one month. CONCLUSION: GC orally administered, or topically applied hydrogel could be a promising, safe alternative formulation to atorvastatin in managing hyperlipidemia and normalizing body weight of obese rats.

Alterations in Plasma Lipid Profiles Associated with Melanoma and Therapy Resistance.

Dysfunctions of lipid metabolism are associated with tumor progression and treatment resistance of cutaneous melanoma. BRAF/MEK inhibitor resistance is linked to alterations of melanoma lipid pathways. We evaluated whether a specific lipid pattern characterizes plasma from melanoma patients and their response to therapy. Plasma samples from patients and controls were analyzed for FASN and DHCR24 levels and lipidomic profiles. FASN and DHCR24 expression resulted in association with disease condition and related to plasma cholesterol and triglycerides in patients at different disease stages (n = 144) as compared to controls (n = 115). Untargeted lipidomics in plasma (n = 40) from advanced disease patients and controls revealed altered levels of different lipids, including fatty acid derivatives and sphingolipids. Targeted lipidomics identified higher levels of dihydroceramides, ceramides, sphingomyelins, ganglioside GM3, sphingosine, sphingosine-1-phosphate, and dihydrosphingosine, saturated and unsaturated fatty acids. When melanoma patients were stratified based on a long/short-term clinical response to kinase inhibitors, differences in plasma levels were shown for saturated fatty acids (FA 16:0, FA18:0) and oleic acid (FA18:1). Our results associated altered levels of selected lipid species in plasma of melanoma patients with a more favorable prognosis. Although obtained in a small cohort, these results pave the way to lipidomic profiling for melanoma patient stratification.

Effects of short-term supplementation with DHA-enriched phosphatidylcholine and phosphatidylserine on lipid profiles in the brain and liver of n-3 PUFA-deficient mice in early life after weaning.

BACKGROUND: Lack of n-3 polyunsaturated fatty acids during the period of maternity drastically lowers the docosahexaenoic acid (DHA) level in the brain of offspring and studies have demonstrated that different molecular forms of DHA are beneficial to brain development. The aim of this study was to investigate the effect of short-term supplementation with DHA-enriched phosphatidylserine (PS) and phosphatidylcholine (PC) on DHA levels in the liver and brain of congenital n-3-deficient mice. RESULTS: Dietary supplementation with DHA significantly changed the fatty acid composition of various phospholipid molecules in the cerebral cortex and liver while DHA-enriched phospholipid was more effective than DHA triglyceride (TG) in increasing brain and liver DHA. Both DHA-PS and DHA-PC could effectively increase the DHA levels, but DHA in the PS form was superior to PC in the contribution of DHA content in the brain ether-linked PC (ePC) and liver lyso-phosphatidylcholine molecular species. DHA-PC showed more significant effects on the increase of DHA in liver TG, PC, ePC, phosphatidylethanolamine (PE) and PE plasmalogen (pPE) molecular species and decreasing the arachidonic acid level in liver PC plasmalogen, ePC, PE and pPE molecular species compared with DHA-PS. CONCLUSION: The effect of dietary interventions with different molecular forms of DHA for brain and liver lipid profiles is different, which may provide theoretical guidance for dietary supplementation of DHA for people. © 2024 Society of Chemical Industry.

Effects of quercetin and genistein on egg quality, lipid profiles, and immunity in laying hens.

BACKGROUND: After the peak laying stage, laying hens become susceptible to lipid accumulation and inflammatory reactions. The objective of this experiment was to examine the impact of quercetin and genistein on egg quality and lipid profiles in laying hens. A total of 240 Hy-Line Brown hens were randomly assigned to three dietary treatments. Each treatment had eight replicates, with ten hens in each replicate, and the hens were aged between 46 and 56 weeks. The test diets consisted of a corn-soybean meal-based basal diet, a basal diet supplemented with 300 mg kg-1 quercetin, and a basal diet supplemented with 300 mg kg-1 quercetin and 40 mg kg-1 genistein. RESULTS: Results showed that, separately, supplemental quercetin significantly improved egg quality (eggshell strength, albumen height, and Haugh unit, P < 0.05) and reduced the deposition of abdominal fat (P < 0.05). Our findings also showed that, separately or as a combination, supplemental quercetin and genistein significantly increased eggshell thickness (P < 0.05), decreased the levels of lipids in serum (low-density lipoprotein cholesterol, total cholesterol, total triglycerides, and non-esterified fatty acids, P < 0.05) and significantly increased serum immunoglobulins A and G (P < 0.05), and promoted the expression of splenic immune-related genes (IgA and IL-4, P < 0.05). CONCLUSION: This study confirmed that supplemental quercetin and genistein, either separately or in combination, can enhance eggshell thickness, lipid profiles, and immune function in aging hens. Moreover, both quercetin alone and quercetin + genistein exhibited similar abilities to lower lipid levels and improve immune function. © 2023 Society of Chemical Industry.

Anthropometrics and Plasma Atherogenic Index in Saudi Women Madinah KSA.

Objective: to determine the lipid profile levels and association with anthropometric measurements and atherogenic index of plasma values in females from Taibah University. Methods: A cross-sectional study was conducted from January 2019 to January 2020 at the female section of Taibah University, located in Madinah, Saudi Arabia. The study sample consisted of 240 females ranging from 19 to 50 years. Measurements related to anthropometry such as height, weight, waist, and hip circumference, were calculated. Body Mass Index, Lipid profiles, and Atherogenic Index of Plasma were also measured. Results: Almost 73.4% of the participants were obese and overweight, with a mean BMI of 28.79±5.7 kg/m2. Overweight and obese women were observed to have high total cholesterol and triglyceride levels (P≤0.05). Out of 244 participants, 120 (49.2%) and 44 (18%) were at intermediate and high risk of cardiovascular disease (CVD), respectively, as determined by the atherogenic index of plasma AIP. Intermediate and high-risk CVD groups had higher lipid profile levels and high waist-to-hip ratio compared to those in females at low risk (P≤0.05). AIP was positively and significantly associated with total cholesterol and triglyceride but negatively correlated with HDL concentration. Furthermore, the BMI had significantly positive correlation with triglyceride and waist to hip ratio (P≤0.05). Conclusion: The majority of the participants were overweight and obese, with high levels of triglycerides and total cholesterol and high waist to hip ratio, placing them at intermediate or high risk of CVD based on AIP values. Additional CVD risk screenings, targeted specifically at overweight and obese women, are needed.

Effects of a culturally tailored, family-supported, community-based self management education and support programme on clinical outcomes among adults with type 2 diabetes in Western Ethiopia: A pilot randomised controlled trial.

AIM: To examine the preliminary effects of a culturally tailored, family-supported, community-based diabetes self management education and support (DSMES) programme for Ethiopian people with type 2 diabetes on glycosylated haemoglobulin (HbA1c ), blood pressure, body mass index and lipid profiles. METHODS: A two-arm pilot randomised controlled trial (RCT) was conducted involving 76 participant-caregiver dyads from Western Ethiopia, which were randomly allocated to the intervention arm to receive 12 h of DSMES intervention guided by social cognitive theory on top of usual care, or to the control group, which received usual care. While HbA1c was a primary outcome, the blood pressure, body mass index and lipid profiles were secondary outcomes. Primary outcome was the change in HbA1c between baseline and 2-month follow-up between the groups. Generalised estimating equations was used to test the preliminary effect of the DSMES programme on the outcomes at baseline, post-intervention and at 2-month follow-up for secondary outcomes. Cohen's d was used to estimate the between-group effect sizes of the intervention. RESULTS: The DSMES produced significant improvement in HbA1c with large effect size (ß = -1.667, p < 0.001, d = -0.81) and triglycerides with medium effect size (d = -0.50). HbA1c in the intervention group was decreased by 12 mmol/mol (1.1%). Although nonsignificant, the DSMES also had small to moderate effects (d = -0.123 to 0.34) on blood pressure, body mass index, total cholesterol, low-density and high-density lipoproteins when compared with usual care. CONCLUSION: A culturally tailored, social cognitive theory-guided, family-supported, community-based DSME programme could have a benefit on HbA1c and triglycerides. A full RCT is warranted to test the effectiveness of the DSMES programme.

Tracking of serum lipids in healthy children on a year-to-year basis.

OBJECTIVES: To assess the stability of lipid profiles throughout childhood and evaluate their onset and dynamic. MATERIALS AND METHODS: Lipid markers were longitudinally measured in more than 1300 healthy children from the LIFE Child study (Germany) and categorized into normal, at-risk, or adverse. Year-to-year intra-person persistence of the categories during follow-ups was examined and Pearson's correlation coefficient was calculated. RESULTS: We found strong positive correlations for TC, LDL-C and ApoB (r > 0.75, p < 0.001) from the age of four years. Correlations were lowest during the first two years of life. Most children with normal levels also had normal levels the following year. Children with at-risk levels showed a tendency towards normal levels at the follow-up visit. Adverse levels of TC, LDL-C, ApoB (all ages), and HDL-C (from age 15) persisted in more than half of the affected children. Age-dependent patterns of stability were most pronounced and similar for TC, LDL-C, and ApoB. CONCLUSIONS: Normal levels of serum lipids show high stability and adverse levels stabilized in early childhood for TC, LDL, and ApoB. At-risk and adverse levels of TC, LDL-C or ApoB may warrant further or repeated diagnostic measurements with regards to preventing CVD in the long run.

Association between serum apolipoprotein A1 and atrial fibrillation in the Chinese population: a case-control study.

BACKGROUND: The relationship between serum apolipoprotein A1 (APOA1) and atrial fibrillation (AF) is not known. Therefore, we sought to investigate the associations between APOA1 and AF in the Chinese population. METHODS: This case-control study included 950 patients with AF (29-83 years old, 50.42% male) who were hospitalized consecutively in China between January 2019 and September 2021. Controls with sinus rhythm and without AF were matched (1:1) to cases by sex and age. Pearson correlation analysis was performed to investigate the correlation between APOA1 and blood lipid profiles. Multivariate regression models were used to explore the association between APOA1 and AF. The receiver operator characteristic (ROC) curve was constructed to examine the performance of APOA1. RESULTS: Multivariate regression analysis showed that low serum APOA1 in men and women with AF was significantly associated with AF (OR = 0.261, 95% CI: 0.162-0.422, P < 0.001). Pearson correlation analysis indicated that serum APOA1 was positively correlated with total cholesterol (TC) (r = 0.456, p < 0.001), low-density lipoprotein cholesterol (LDL-C) (r = 0.825, p < 0.001), high-density lipoprotein cholesterol (HDL-C) (r = 0.238, p < 0.001), and apolipoprotein B (APOB) (r = 0.083, p = 0.011). ROC curve analysis showed that APOA1 levels of 1.105 g/L and 1.205 g/L were the optimal cut-off values for predicting AF in males and females, respectively. CONCLUSION: Low APOA1 in male and female patients is significantly associated with AF in the Chinese population of non-statin users. APOA1 may be a potential biomarker for AF and contribute to the pathological progression of AF along with low blood lipid profiles. Potential mechanisms remain to be further explored.

Non-traditional lipid profiles and the risk of stroke: A systematic review and meta-analysis.

AIMS: An increasing number of studies on non-traditional lipid profiles have been investigated in recent years. However, the associations between non-traditional lipid profiles and the risk of stroke remained inconsistent. Therefore, this meta-analysis aimed to evaluate the associations between non-traditional lipid profiles and the risk of stroke and clarify the dose-response relations. DATA SYNTHESIS: We performed a systematic literature search in PubMed, Embase, and Web of Science databases until 1 November 2022 for relevant studies. Relative risks and 95% confidence intervals were pooled by random-effects or fixed-effects models. A total of 26 full-text studies with 676678 participants and 18057 stroke cases were eligible for the final study. We found a positive association between the risk of stroke and total cholesterol to high-density lipoprotein cholesterol (TC/HDL-C) ratio (RR = 1.19,95%CI = 1.00-1.40, I2 = 74.6%), triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio (RR = 1.24,95%CI = 1.10-1.41, I2 = 62.8%) or low-density lipoprotein cholesterol to high-density lipoprotein cholesterol (LDL-C/HDL-C) ratio (RR = 1.24, 95%CI = 1.11-1.39, I2 = 49.4%). When focusing on the stroke subtype, a more significant association was observed between the risk of ischemic stroke and four non-traditional lipid profiles. In dose-response analysis, we found a linear association between TC/HDL-C ratio and the risk of stroke (RR = 1.16,95%CI = 1.07-1.26). CONCLUSIONS: Elevated non-traditional lipid profiles were associated with an increased risk of ischemic stroke. The linear association showed the risk of stroke increased by 16% when the pooled RR of TC/HDL-C ratio per 1-unit increased. REGISTRATION NUMBER IN PROSPERO: CRD42022321251.

Exercise training, dietary intervention, or combined interventions and their effects on lipid profiles in adults with overweight and obesity: A systematic review and meta-analysis of randomized clinical trials.

AIMS: We performed a systematic review and meta-analysis to compare the effects of Ex (exercise training) vs. DI (dietary intervention) vs. combined Ex and DI on total cholesterol (TC), low-density lipoprotein cholesterol (LDL), triglycerides (TG), and high-density lipoprotein cholesterol (HDL) in adults with overweight and obesity. DATA SYNTHESIS: PubMed, Web of Science, and Scopus were searched to identify original articles published until March 2022, using keywords for the categories "exercise training," "dietary intervention," "overweight and obesity," and "randomized." Studies that included lipid profiles as outcomes and performed in adults with body mass indexes (BMIs) ≥ 25 kg/m2 were included. A total of 80 studies involving 4804 adult participants were included in the meta-analysis. Ex was not as effective as DI for reducing TC and TG and was less effective for reducing LDL. In addition, Ex increased HDL to a greater extent than DI. Combined interventions decreased TC, TG, and LDL but did not increase HDL more than Ex alone. Combined interventions failed to reduce TC or LDL but decreased TG and increased HDL more than DI alone. CONCLUSIONS: Our results suggest that the combination of Ex and DI can be more effective than either Ex or DI alone in improving lipid profiles in adults with overweight and obesity.

Effects of mixed nut consumption on LDL cholesterol, lipoprotein(a), and other cardiometabolic risk factors in overweight and obese adults.

BACKGROUND AND AIMS: Elevated LDL-C, lipoprotein(a) [Lp(a)], and inflammation are associated with greater risk for atherosclerotic cardiovascular events. Consumption of individual nut types decreases these risk factors but knowledge about the effect of mixed nuts on Lp(a) is limited. The objective of this study was to determine the effects of consuming 42.5 g/day of mixed nuts on LDL-C, Lp(a), and inflammatory markers in individuals with overweight or obesity. METHODS AND RESULTS: In a 16-week randomized control trial, 29 participants with overweight or obesity (BMI 25-40 kg/m2) consumed either 42.5 g/day of mixed nuts (cashews, almonds, macadamia nuts, Brazil nuts, pecans, pistachios, walnuts, and peanuts) or 69 g/day isocaloric pretzels. Blood samples were collected at baseline, week 8, and week 16 for analysis on total cholesterol (TC), LDL-C, Lp(a), inflammation markers, glucose, insulin, adiponectin and liver function enzymes. No significant differences were seen in TC, LDL-C, HDL-C, Lp(a), or liver function enzymes between the two groups. Participants consuming mixed nuts had significantly lower body fat percentage and diastolic blood pressure, and higher adiponectin (all P ≤ 0.05). C-reactive protein (CRP) and 8-oxo-deoxyguanosis (8-oxodG) showed non-significant decreasing trends and total antioxidant capacity (TAC) had a non-significant increasing trend in the mixed nut group. CONCLUSION: Consumption of mixed nuts had no evidence of an effect on LDL-C or Lp(a) throughout the intervention. Notably, mixed nut consumption lowered body fat percentage without significant changes in body weight or BMI. Future studies with larger sample sizes investigating the changing trends of CRP, 8-oxodG, and TAC are warranted. CLINICAL TRIAL REGISTER: NCT03375866.