Explore the vast range of titles available.

To the best of our knowledge, no systematic review and meta-analysis has evaluated the cholesterol-lowering effects of intermittent fasting (IF) and energy-restricted diets (ERD) compared with control groups. The aim of this review and meta-analysis was to summarize the effects of controlled clinical trials examining the influence of IF and ERD on lipid profiles. A systematic review of four independent databases (PubMed/Medline, Scopus, Web of Science and Google Scholar) was performed to identify clinical trials reporting the effects of IF or ERD, relative to non-diet controls, on lipid profiles in humans. A random-effects model, employing the method of DerSimonian and Laird, was used to evaluate effect sizes, and results were expressed as weighted mean difference (WMD) and 95% confidence intervals (CIs). Heterogeneity between studies was calculated using Higgins I2, with values ≥50% considered to represent high heterogeneity. Subgroup analyses were performed to examine the influence of intervention type, baseline lipid concentrations, degree of energy deficit, sex, health status, and intervention duration. For the outcomes of low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and triacylglycerols (TG), there were 34, 33, 35, and 33 studies meeting all inclusion criteria, respectively. Overall, results from the random-effects model indicated that IF and ERD interventions resulted significant changes in TC (WMD, –6.93 mg/dL; 95% CI, –10.18 to –3.67; P < 0.001; I2 = 78.2%), LDL-C (WMD, –6.16 mg/dL; 95% CI, –8.42 to –3.90; P ˂ 0.001; I2 = 52%), and TG concentrations (WMD, –6.46 mg/dL; 95% CI, –10.64 to –2.27; P = 0.002; I2 = 61%). HDL-C concentrations did not change significantly after IF or ERD (WMD, 0.50 mg/dL; 95% CI, –0.69 to 1.70; P = 0.411; I2 = 80%). Subgroup analyses indicated potentially differential effects between subgroups for one or more lipid parameters in the majority of analyses. Relative to a non-diet control, IF and ERD are effective for the improvement of circulating TC, LDL-C, and TG concentrations, but have no meaningful effects on HDL-C concentration. These effects are influenced by several factors that may inform clinical practice and future research. The present results suggest that these dietary practices are a means of enhancing the lipid profile in humans. •Other than Ramadan intermittent fasting, specific intermittent fasting strategies may be adopted into clinical scenario.•Intermittent fasting and energy-restricted diets are effective in improving circulating total cholesterol, low-density lipoprotein cholesterol, and triacylglycerol levels.•However, intermittent fasting and energy-restricted diets have no meaningful effects on high-density lipoprotein cholesterol levels.

Background Waist circumference, a metabolic syndrome (MetSy) criterion, is not routinely measured in clinical practice making early identification of individuals with MetSy challenging. It has been argued that ratios of commonly measured parameters such as lipids and lipoproteins may be an acceptable alternative for identifying individuals with MetSy. The objective of our study was to explore clinical utility of lipid ratios to identify men and women with MetSy; and to explore the association between lipid ratios and the number of MetSy components. Methods Men and women (N = 797) of Aboriginal, Chinese, European, and South Asian origin (35–60 years), recruited across ranges of body mass index (BMI), with no diagnosed cardiovascular disease (CVD) or on medications to treat CVD risk factors were assessed for anthropometrics, family history of CVD, MetSy components (waist circumference, blood pressure, glucose, triglycerides (TG), high-density-lipoprotein-cholesterol (HDL-C)), low-density-lipoprotein-cholesterol (LDL-C), nonHDL-C, and health-related behaviours. Results Mean levels of lipid ratios significantly increased with increasing number of MetSy components in men and women (p < 0.05). After adjustment for age, ethnicity, smoking, alcohol consumption, physical activity, family history of CVD and BMI, (and menopausal status in women), all lipid ratios were associated with the number of MetSy components in men and women (Poisson regression, p < 0.001). Compared to the rest of the lipid ratios (ROC curve analysis), TG/HDL-C was best able to discriminate between individuals with and without MetSy (AUC = 0.869 (95% CI: 0.830, 0.908) men; AUC = 0.872 (95% CI: 0.832, 0.912) women). The discriminatory power of TC/HDL-C and nonHDL-C/HDL-C to identify individuals with MetSY was the same (for both ratios, AUC = 0.793 (95% CI: 0.744, 0.842) men; 0.818 (95% CI: 0.772, 0.864) women). Additionally, LDL-C/HDL-C was a good marker for women (AUC = 0.759 (95% CI: 0.706, 0.812)), but not for men (AUC = 0.689 (95% CI: 0.631, 0.748)). Based on a multiethnic sample, we identified TG/HDL-C cut-off values of 1.62 in men and 1.18 in women that were best able to discriminate between men and women with and without MetSY. Conclusions Our results indicate that TG/HDL-C is a superior marker to identify men and women with MetSy compared to TC/HDL-C, LDL-C/HDL-C, and nonHDL-C/HDL-C.

Lipid levels are closely associated with health, but whether lipid levels are associated with atrial fibrillation (AF) remains controversial. We thought that blood lipid levels may influence new‐onset AF. Here, we used a meta‐analysis to examine the overall association between lipid levels and new‐onset AF. PubMed and EMBASE databases were searched up to 20 December 2019. We conducted a systematic review and quantitative meta‐analysis of prospective studies to clarify the association between lipid levels and the risk of new‐onset AF. Sixteen articles with data on 4 032 638 participants and 42 825 cases of AF were included in this meta‐analysis. The summary relative risk (RR) for a 1 mmol/L increment in total cholesterol (TC) was 0.95 (95% CI 0.93‐0.96, I2 = 74.6%, n = 13). Subgroup analyses showed that follow‐up time is a source of heterogeneity; for low‐density lipoprotein cholesterol (LDL‐C), RR was 0.95 (95% CI 0.92‐0.97, I2 = 71.5%, n = 10). Subgroup analyses indicated that adjusting for heart failure explains the source of heterogeneity; for high‐density lipoprotein cholesterol (HDL‐C), RR was 0.97 (95% CI 0.96‐0.99, I2 = 26.1%, n = 11); for triglycerides (TGs), RR was 1.00 (95% CI 0.96‐1.03, I2 = 81.1%, n = 8). Subgroup analysis showed that gender, age, follow‐up time, and adjustment for heart failure are sources of heterogeneity. Higher levels of TC, LDL‐C, and HDL‐C were associated with lower risk of new‐onset AF. TG levels were not associated with new‐onset AF in all subjects.

Background Some studies indicate that psyllium supplementation may change lipid profile levels. This study assessed the impact of psyllium consumption on lipid profile (Low-Density Lipoprotein Cholesterol, Triglyceride, High-Density Lipoprotein Cholesterol, and cholesterol). Main text We started searching articles using Scopus, Institute for Scientific Information Web of Science, and PubMed to identify eligible publications from March 15, 2022 to August 2, 2025. The effect of psyllium on lipid profiles in adults was evaluated through Randomized Controlled Trials. We calculated Weighted Mean Differences with 95% Confidence Intervals using a random effects model. In this study, 41 Randomized Controlled Trials articles and 2049 participants were included. Psyllium showed a significant decrease in Low-Density Lipoprotein Cholesterol and total Cholesterol, a nonsignificant reduction in Triglyceride, and an insignificantly increase in High-Density Lipoprotein Cholesterol; cholesterol: (Weighted Mean Differences: -9.05; 95% Confidence Intervals: -13.71, -4.40; p-value < 0.05), High-Density Lipoprotein Cholesterol: (Weighted Mean Differences: 0.57; 95% Confidence Intervals: -0.88, 2.04; p-value > 0.05), Triglyceride: (Weighted Mean Differences: -5.29; 95% Confidence Intervals: -12.14, 1.54; p-value > 0.05), and Low-Density Lipoprotein Cholesterol: (Weighted Mean Differences: -8.55; 95% Confidence Intervals: -12.92, -4.19; p  < 0.001). Considerable heterogeneity was found for cholesterol: (I-squared index = 89.30%, p-value < 0.001), High-Density Lipoprotein Cholesterol: ( I-squared index = 77.96%, p-value < 0.001), Low-Density Lipoprotein Cholesterol: (I-squared index = 88.46%, p-value < 0.001); and Triglyceride: (I-squared index = 83.25%, p-value < 0.001) and duration and dosage of psyllium had a nonsignificant linear influence on lipid profiles. Conclusion Results showed that psyllium can significantly decrease Low-Density Lipoprotein Cholesterol and total cholesterol, can insignificantly decrease triglyceride, and can insignificantly increase High-Density Lipoprotein Cholesterol following psyllium consumption. Registration The study was approved by the Medical Ethics Committee of Isfahan University of Medical Sciences (IR.MUI.RESEARCH.REC.1402.017, Grant number: 140206). This research was registered in the PROSPERO system (CRD42023402987). Clinical trial number Not applicable.

Background Previous studies reveal inconsistent associations between serum lipid traits and the risks of fractures and osteoporosis in the general population. Methods This prospective cohort study analysed data from 414 302 UK Biobank participants (223 060 women and 191 242 men, aged 37–73 years) with serum lipid measurements: apolipoprotein A (Apo A), apolipoprotein B (Apo B), total cholesterol (TC), high‐density lipoprotein cholesterol (HDL‐C), low‐density lipoprotein cholesterol (LDL‐C), triglycerides (TG) and lipoprotein A (Lp(a)). Multivariable Cox proportional hazard models with penalized cubic splines were used to explore potential nonlinear associations of each lipid trait with the risks of fractures and osteoporosis. Subgroup analyses by age, sex, BMI categories and pre‐existing cardiovascular disease were conducted. Mediation analyses using the g‐formula were performed to quantify to which extent bone mineral density (BMD) may mediate the association between serum lipids and fracture risk. Results Over a median follow‐up period of 13.8 years, 25 918 (6.8%) of the 383 530 participants without prior fracture had incident fracture cases, and 7591 (4.1%) of the 184 919 participants with primary care data and without baseline osteoporosis were diagnosed with osteoporosis. TG had nonlinear associations with fractures and osteoporosis, whereas Apo B, TC and LDL‐C had linear associations. There were also nonlinear associations of Apo A and HDL‐C with fractures. Individuals in the highest quintiles for Apo A (fracture: HR 1.15 [95% CI 1.10, 1.21]; osteoporosis: HR 1.13 [1.02, 1.25]) and HDL‐C (fracture: HR 1.27 [1.20, 1.34]; osteoporosis: HR 1.31 [1.18, 1.46]) were associated with higher risks of fractures and osteoporosis. Conversely, those in the highest quintile for Apo B (fracture: HR 0.85 [0.81, 0.89]; osteoporosis: HR 0.86 [0.79, 0.94]), LDL‐C (fracture: HR 0.89 [0.85, 0.93]; osteoporosis: HR 0.91 [0.83, 1.00]) and TG (fracture: HR 0.78 [0.74, 0.82]; osteoporosis: HR 0.75 [0.68, 0.82]) were associated with lower risks. The associations of Apo A (ratio of HR [RHR] 1.05 [1.02, 1.09]) and HDL‐C (RHR 1.06 [1.03, 1.09]) with fracture risk were more pronounced in men compared to women. Except for TG and Lp(a), the associations between serum lipids and fractures appear to be partially mediated through BMD (mediation proportions: 5.30% to 40.30%), assuming causality. Conclusions Our study reveals a complex interplay between different lipid markers and skeletal health, potentially partially mediated through BMD. Routine lipid profile assessments, including HDL‐C and Apo A among other lipid traits, may be integrated into the strategies for fracture risk stratification.

The ratio of non-high-density lipoprotein cholesterol (non-HDL-C) to HDL-C (NHHR) is a novel lipid parameter used to assess the risk of cardiovascular disease. Previous studies have demonstrated an association between the NHHR and risk of non-alcoholic fatty liver disease (NAFLD). Owing to the lack of research exploring this relationship in specific populations, this study aimed to determine the potential link between the NHHR and risk of NAFLD among American adults in the United States. Data were retrieved from the National Health and Nutrition Examination Survey (NHANES) spanning 2017–2020. After excluding individuals with other liver diseases, alcohol abuse, and missing lipid data, a total of 6809 eligible adults were included for analysis. The NHHR was calculated as the ratio of (non-HDL-C) to HDL-C, while NAFLD was identified by liver steatosis detected by transient elastography. Multivariable weighted logistic regression models and restricted cubic spline (RCS) models were employed to investigate the relationship between the NHHR and risk of NAFLD. Subgroup and sensitivity analyses were also conducted to test the robustness of the results. As the NHHR increased, the prevalence of NAFLD rose progressively (5.88% vs. 8.75% vs. 12.24% vs. 15.77%, p  < 0.001). In the overall population, after adjusting for confounding factors, each unit increase in the NHHR was associated with a 25% increase in NAFLD risk (OR = 1.25, 95% CI: 1.03–1.53, p  = 0.0372). When the NHHR was analyzed as a categorical variable (quartiles), participants in the highest quartile had a significantly higher risk of NAFLD than those in the lowest quartile (OR = 2.6, 95% CI: 1.75–3.85, p  = 0.009). RCS analysis further indicated a nonlinear dose–response relationship between the NHHR and risk of NAFLD ( p non-linearity < 0.0001). This association remained significant in both subgroup and sensitivity analyses. This study confirmed that the NHHR, particularly at higher levels, was an independent risk factor for NAFLD. As a comprehensive lipid indicator, the NHHR had the potential to predict NAFLD risk. These findings provided new insights for the prevention and clinical management of NAFLD.

Background The ratio of high‐density lipoprotein cholesterol (HDL‐C) to low‐density lipoprotein cholesterol (LDL‐C) predicts cardiovascular disease (CVD) endpoints, yet its prognostic validity in high‐risk populations and for type 2 diabetes mellitus (T2DM)‐related adverse events remains unestablished. Methods This study included 32,609 people aged 35–75 years in Fujian Province, China, who were at high risk for CVD. The primary endpoint was all‐cause mortality during follow‐up. Cox proportional hazard models and restricted cubic spline (RCS) analysis were used to evaluate the correlation between the HDL‐C/LDL‐C ratio and the endpoints. Result On the basis of the restricted RCS curve, the participants were classified as having a low (< 0.3), middle (0.3–0.5), or high (> 0.5) HDL‐C/LDL‐C ratio. Multivariate Cox regression analyses revealed that the risk of all‐cause mortality (HR = 1.48, 95% CI 1.14–1.93, p < 0.01 for low; HR = 1.30, 95% CI 1.06–1.58, p < 0.05 for high) was increased in the low and high groups. Participants without T2DM who were at high risk for CVD had similar prognoses (HR = 1.65, 95% CI 1.19–2.28, p < 0.01 for low; HR = 1.35, 95% CI 1.05–1.74, p < 0.01 for high). However, this association was not found in participants with T2DM who were at high risk for CVD. Conclusion HDL‐C/LDL‐C can be used to predict the prognosis of individuals at high risk for CVD, and maintaining HDL‐C/LDL‐C ratios between 0.3 and 0.5 may be the most helpful range for this population. Furthermore, maintaining this ratio range holds clinical significance for cohorts without T2DM, although further exploration is needed in this T2DM cohort. Summary The HDL‐C/LDL‐C ratio was significantly associated with all‐cause mortality in populations at high cardiovascular disease (CVD) risk. This study utilized real‐world data from the large‐scale Fujian Cardiac Metabolic Diseases and Comorbidity Cohort (Fu‐CARE), enhancing the generalizability and reliability of the findings. The HDL‐C/LDL‐C ratio may serve as a valuable lipid‐based predictor, providing clinical implications for risk stratification and management in high CVD risk populations.

Introduction Previous studies have shown that the serum uric acid‐to‐high‐density lipoprotein cholesterol ratio (UHR) is related to metabolic syndrome. However, no existing study has examined the relationship between UHR and insulin resistance (IR). Therefore, this study aims to explore the association between the UHR and IR in patients with type 2 diabetes mellitus (T2DM). Methods Patients with type 2 diabetes mellitus (1,532 males and 1,013 females) were enrolled. Insulin resistance was measured by homeostatic model assessment of insulin resistance (HOMA‐IR) and was defined as HOMI‐IR ≥ 2.69. Pearson correlation, multiple logistic regression, ROC analysis, and subgroup analysis were used to evaluate the association between UHR and IR. Results UHR was associated with HOMA‐IR in patients with type 2 diabetes mellitus (pearson's correlation coefficient = 0.274 in males and 0.337 in females, P < 0.001). Multiple logistic regression analysis showed that UHR was significantly correlated with insulin resistance (OR = 1.06, 95%CI = 1.03–1.08 in males and OR = 1.11, 95%CI = 1.08–1.15 in females). The area under the ROC curve (AUC) of UHR (AUC = 0.665 for males and 0.717 for females, all P < 0.01) was the largest compared with that of UA and HDL‐C in insulin resistance. Subgroup analysis showed that there was a more significantly positive correlation among subjects with BMI ≥ 24 kg/m2, age < 60 years old, HbA1c < 7%, non‐hypertension, or in female subjects. Conclusion Elevated UHR is significantly correlated with insulin resistance, which can be used as an indicator of insulin resistance in patients with type 2 diabetes mellitus. UHR is positively correlated with an increase in HOMA‐IR and the risk of insulin resistance (IR) in a mass of patients with type 2 diabetes mellitus. UHR is more effective in detecting IR compared with uric acid or HDL‐C alone.

Background The purpose of this research is to investigate the particular connection between the triglyceride to high‐density lipoprotein cholesterol (TG/HDL‐C) ratio and non‐alcoholic fatty liver disease (NAFLD) to offer a more precise foundation for evaluating NAFLD risk. Methods This study involves a secondary analysis of a retrospective cohort study conducted from 2004 to 2015 in a Japanese population, which included 14,106 participants. The TG/HDL‐C ratio was determined by the levels of triglycerides (TG) and high‐density lipoprotein cholesterol (HDL‐C). Participants were grouped according to the quartiles of TG/HDL‐C. We analyzed the relationship between TG/HDL‐C and NAFLD using Cox proportional hazards regression, smooth curve fitting, and sensitivity analysis. Results The average age of the study participants was 43.51 ± 8.89 years, with 7275 (51.57%) being male. After considering potential confounding factors, the study found a positive correlation between TG/HDL‐C and NAFLD (OR: 1.37, 95% CI: 1.31–1.43, p < 0.001). Moreover, a nonlinear relationship between TG/HDL‐C and NAFLD was found, with a turning point at 1.42. The odds ratio (OR) on either side of this inflection point were 3.71 (95% CI: 2.87–4.79) on the left and 1.23 (95% CI: 1.17–1.29) on the right, indicating a stronger correlation when TG/HDL‐C is below 1.42, particularly in younger individuals, females, and those with a BMI under 25 kg/m2. Conclusion The TG/HDL‐C index shows a nonlinear positive correlation with NAFLD risk, particularly when the TG/HDL‐C ratio is below 1.42, with a stronger association observed in younger individuals, females, and lower‐BMI populations. This study reveals a nonlinear positive correlation between the TG/HDL‐C ratio and the risk of NAFLD. The association is particularly pronounced when the ratio is below 1.42.

Background Papillary thyroid carcinoma (PTC) is considered to be an inflammatory disease. This study aimed to investigate the association of monocyte to high‐density lipoprotein cholesterol ratio (MHR) with PTC. Methods Clinical parameters from 300 patients with PTC and 552 patients with benign thyroid nodule were compared. Serum renal function and liver enzymes, fasting plasma glucose, lipid profile, and blood cell count were measured. Results Patients with PTC had a higher MONO (p < 0.001) and MHR (p < 0.001). There was a step‐wise increase in the prevalence of PTC (p = 0.003) with the tertile of MHR. Logistic regression analysis revealed that MHR could be considered an independent risk factor (p < 0.001) in the case‐control study and the cohort study. Pearson correlation analysis and simple linear regression analysis indicated that MHR was positively associated with neutrophil (NEU) and lymphocyte (LYM) count as well as neutrophil‐to‐lymphocyte ratio (NLR). Area under the curve (AUC) was 0.711. The optimal cutoff of MHR was 0.33 × 109/mmol. Conclusion This study identifies novel evidence that patients with PTC have a higher MHR. MHR is an independent risk factor for PTC. These findings support the application of MHR to predict, diagnose, and evaluate the occurrence of PTC. Prevalence of PTC among three groups categorized by tertile of MHR. There was a step‐wise increase in the prevalence of PTC (30.4% vs 32.3% vs. 42.7%, p = 0.003) with MHR tertile.