Lipids in Health and Disease最新文献

Background: An association exists between obesity and reduced testosterone levels in males. The propose of this research is to reveal the correlation between 15 indices linked to obesity and lipid levels with the concentration of serum testosterone, and incidence of testosterone deficiency (TD) among adult American men.

Methods: The study utilized information gathered from the National Health and Nutrition Examination Survey (NHANES) carried out from 2011 to 2016. The condition known as TD is typically characterized by a total serum testosterone level that falls below 300 ng/dL. The analysis used weighted linear and logistic regression methods to announce the association between 15 obesity- and lipid-related factors and serum testosterone levels as well as TD. Subgroup analyses were further carried out to confirm and validate the findings. Additionally, restricted cubic spline plots were utilized to examine non-linear relationships. Receiver operating characteristic (ROC) curves were created for the 15 factors, and the area under the curves (AUC) was calculated to assess the efficacy of each factor in detecting TD.

Results: Among a group of 3,540 adult males, it was observed that all 15 obesity- and lipid-related indices showed a negative relationship with testosterone concentration and a direct correlation with the presence of TD. After accounting for all covariates, the analysis revealed that individuals within the highest quartile (Q4) for metabolic score for visceral fat (METS-VF) had the excellent probability of developing TD (OR = 13.412, 95%CIs: 4.222, 42.262, P < 0.001). Additionally, a non-linear relationship was detected between the METS-VF with TD. Within the model that incorporated all adjustments, the triglyceride glucose-waist to height ratio (TyG-WHtR) has the best performance for predicting TD (Overall: AUC = 0.762, 95%CIs: 0.743, 0.782, cut-off = 5.186).

Conclusion: Elevated levels of these 15 markers were inversely related to testosterone levels and were indicative of an elevated risk of TD. Among all indices analyzed, TyG-WHtR demonstrated the highest predictive value.

Trial registration: Not available.

Background: Stroke has emerged as an escalating public health challenge among middle-aged and older individuals in China, closely linked to glycolipid metabolic abnormalities. The Hemoglobin A1c/High-Density Lipoprotein Cholesterol (HbA1c/HDL-C) ratio, an integrated marker of glycolipid homeostasis, may serve as a novel predictor of stroke risk.

Methods: Our investigation utilized data from the China Health and Retirement Longitudinal Study cohort (2011-2018). Stroke cases were identified based on self-reported, physician-confirmed diagnoses. Logistic regression models were established to determine the correlation between HbA1c/HDL-C and stroke prevalence (2011) as well as between cumulative mean HbA1c/HDL-C (2011-2015) and new stroke incidence (2015-2018). Additionally, smoothed curve fitting, subgroup analyses, and interaction tests were conducted to ensure the robustness of the findings.

Results: In the cross-sectional analysis, 8,502 participants were enrolled, of whom 189 had a history of stroke. Our findings revealed a significant positive linear relationship between HbA1c/HDL-C and stroke prevalence after adjusting for covariates (OR: 1.26, 95% CI: 1.09-1.45). When HbA1c/HDL-C was categorized into tertiles, only the highest tertile (T3) showed a significant correlation with stroke prevalence compared to the lowest tertile (T1) (OR:1.71, 95% CI: 1.05-2.77). In the longitudinal analysis of 5,165 participants, 336 cases of new-onset stroke were identified over a follow-up period of 7 years. Adjusting for confounders, individuals with higher cumulative mean HbA1c/HDL-C exhibited an increased likelihood of new stroke incidence (OR: 1.14, 95% CI: 1.01-1.29). Using the T1 of cumulative mean HbA1c/HDL-C as a reference, the fully adjusted OR for stroke was 1.65 (95% CI: 1.21-2.24) in T2 and 1.54 (95% CI: 1.08-2.19) in T3. The predictive value of the HbA1c/HDL-C in stroke risk assessment have been significantly improved compared to the traditional HDL-C and HbA1c. Consistent associations were observed across most stratified subgroups.

Conclusions: Elevated baseline and cumulative mean HbA1c/HDL-C levels are significantly associated with an increased risk of stroke among middle-aged and older individuals in China, underscoring the potential of HbA1c/HDL-C as a clinical marker for long-term stroke risk assessment and prevention strategies.

Background: Obesity is linked to a variety of metabolic issues, with hyperlipidemia being a crucial adjustable risk element for cardiovascular diseases (CVD). However, the connection between indicators of obesity with overall and CVD mortality in American adults with hyperlipidemia remains unknown.

Methods: This research employed an extensive cohort drawn from the National Health and Nutrition Examination Survey (NHANES) (2003-2018). Hyperlipidemia was identified through either elevated lipid profiles or self-reported utilization of lipid-reducing medications. Obesity indicators (weight-adjusted waist index (WWI), waist-to-height ratio (WHtR), body mass index (BMI)) were evaluated by physical measurement data. Weighted Cox regression models and restricted cubic splines (RCS) were employed to assess the potential links between obesity indicators and mortality outcomes. Results were further validated through subgroup analyses to ensure robustness and reliability. The receiver operating characteristic (ROC) curve was utilized to evaluate the prognostic capability of obesity indicators for mortality.

Results: This cohort study included data from 12,785 participants with hyperlipidemia. Over an average follow-up period of 8.4 years, a total of 1,454 deaths were documented, 380 of which were related to heart diseases. Cox analysis manifested that, after adjusting covariates, increased WWI was linked to a higher likelihood of overall and CVD mortality (both P < 0.05). RCS analysis illustrated that BMI and WHtR had U-shaped relationships with the overall and CVD mortality. Conversely, a linear positive association was uncovered between WWI and mortality (both P > 0.05 for nonlinearity). Age, alcohol consumption and chronic kidney disease had modifying effects on the relationship between WWI and total mortality among those with hyperlipidemia. The area under ROC indicated that WWI was more effective than for BMI and WHtR in predicting overall and CVD deaths.

Conclusions: In US adults with hyperlipidemia, the connection between BMI, WHtR, with overall and CVD mortality followed a U-shaped pattern, whereas a positive linear correlation was identified between WWI and mortality. WWI has superior predictive capability for the prognosis of individuals with hyperlipidemia compared to BMI and WHtR. These findings provide new insights and targets for the health management of individuals affected by hyperlipidemia.

Background: Insulin resistance (IR) and serum uric acid (SUA) are closely interconnected: SUA contributes to adversely affects the insulin signaling pathway and contributes to IR, while IR is a known predictor for the development of hyperuricemia. The triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio has been proposed as an easily obtainable marker for IR. This research aimed to investigate the interaction between IR and glomerular filtration rate (GFR)-adjusted uricemia (SUA/GFR ratio) in determining CV risk in a large population cohort study.

Methods: Data from 18,694 subjects were analyzed from Uric acid Right foR heArt Healt (URRAH) database. The study evaluated the association between TG/HDL-C ratio and SUA/GFR ratio, as well as their impact on the development of outcomes during the follow-up study period. The primary endpoint was CV mortality.

Results: After a mean follow-up of 124 ± 64 months, 2,665 (14.2%) CV deaths occurred. The incidence of fatal and non-fatal CV events increased in parallel with the increase of TG/HDL-C quintiles. TG/HDL-C ratio showed a positive association with increasing of SUA/GFR ratio, even in non-diabetic patients. Multivariate analysis showed that the TG/HDL-C ratio increases the mortality risk even after adjustment for potential confounding factors. Finally, IR and GFR-adjusted hyperuricemia showed an additive effect on CV mortality.

Conclusions: Both IR and SUA/GFR ratio independently predict CV mortality, regardless of age, gender, BMI, diabetes, hypertension and statin use. The joint effect of the TG/HDL-C ratio and the elevated SUA/GFR ratio was greater than the presence of each single risk factor on CV mortality. This highlights the importance of monitoring these markers to better assess cardiovascular risk.

Background: Homocysteine (Hcy) and the proprotein convertase subtilisin/kexin type 9 (PCSK9) significantly contribute to atherosclerosis (AS) as well as coronary lesion severity. Our previous work demonstrated that Hcy upregulates PCSK9, accelerating lipid accumulation and AS. A PCSK9 antagonist reduces plasma Hcy levels in ApoE^-/- mice. These findings suggest complex roles for both Hcy and PCSK9 in AS. This study investigated the mutual mediating influence of Hcy together with PCSK9 on coronary lesion severity among individuals diagnosed with acute coronary syndrome (ACS), focusing on their interplay with inflammatory and lipid-related markers.

Methods: This cross-sectional study encompassed 617 individuals diagnosed with ACS. Baseline characteristics, including inflammatory and lipid-related markers, were compared between individuals with non-severe (SYNTAX score ≤ 22) and severe (SYNTAX score > 22) coronary lesions. To evaluate both the impacts of Hcy and PCSK9 on coronary lesions severity, multivariate logistic regression along with mediation analyses were utilized. The robustness of the findings was validated by conducting subgroup analyses and sensitivity tests.

Results: Patients with severe conditions showed higher levels of Hcy, PCSK9, and inflammatory markers compared to non-severe cases. Both Hcy and PCSK9 levels were independently linked to a heightened risk of severe coronary lesions(ORs: 1.03-1.04 and 1.01-1.02, respectively, all P < 0.001). PCSK9 mediated 34.04% of Hcy's effect on coronary lesion severity, whereas Hcy mediated 31.39% of PCSK9's effect, indicating significant mutual mediation between these biomarkers. Subgroup analyses revealed consistent associations, with notable interactions based on creatinine levels for Hcy and gender, smoking status, and diagnosis for PCSK9. Sensitivity analyses confirmed the robustness of the mediation effects.

Conclusions: These findings emphasize the mutual mediating effects of Hcy and PCSK9 on coronary lesion severity in patients suffering from ACS. These results highlight the complex interactions between lipid metabolism and inflammation in the pathophysiology of ACS, suggesting that targeting both Hcy and PCSK9 may offer novel therapeutic strategies to mitigate severe coronary lesions among high-risk patients.

Background: Primary healthcare (PHC) plays a key role in hyperlipidemia (HL) management yet lacks adequate monitoring and feedback. This study aims at identifying pragmatic measures out from routinely collected electronic records to enable automatic monitoring and inform continuous optimization of HL-management at PHC settings.

Methods: The study used randomly selected electronic records of PHC (from the province-wide data center of Anhui-province, China) as the main data source and generated both procedure-based and encounter-based measures for assessing HL-management. The procedure-based measures were derived from specific quality-facts of 21 stages/procedures (e.g., lipid lowering medication prescription) using self-designed algorithms. While the encounter-based measures included number or rate of visits for HL, currently-noticed hyperlipidemia (CNHL, or HL noticed during the current consultation), and ever-diagnosed hyperlipidemia (EDHL). Analysis of these measures employed mainly simple descriptives and linear regression modeling.

Results: The study revealed interesting findings including: low and varied rates of visits for HL(from 0.01 to 1.43%) and visits by patients with EDHL/CNHL(from 0.13 to 20.54% or from 0.02 to 2.99%) between regions; large differences (5.14 to 22.20 times) between the mean or cumulative proportions of visits by patients with EDHL versus CNHL among clinician groups; consistent increase in the ratio of visits for HL in all cause visits over the study period (from 0.087 to 1.000%) accompanied with relatively stable proportions of patients with CNHL/EDHL; Relatively low scores in the procedure-based measures (ranged from 0.00 to 36.08% for specific procedures by seasons).

Conclusions: The measures identified are not only feasible from real-world PHC records but also give some useful metrics about how well current HL-management is going and what future actions are needed.

Background: The ABO blood group system has shown an association with cardiovascular disease. The susceptibility to CVD is proposed to be partly mediated by dyslipidaemia in non-O individuals. Previous studies are scarce for the RhD blood group, but we recently showed that RhD - young individuals are associated with subclinical atherosclerosis. Hence, we sought to examine whether the ABO blood groups and RhD factor are associated with dyslipidaemia.

Methods: All participants were part of the VIPVIZA study, including 3532 individuals with available plasma lipid levels. Lipids were assessed as total, LDL, HDL, remnant, non-HDL cholesterol and triglycerides. Information about ABO and RhD was retrieved by linking VIPVIZA with the SCANDAT-3 database, where 85% of VIPVIZA participants were registered.

Results: For the ABO blood groups, no significant differences in lipid levels between non-O and O individuals were seen. In 40-year-old males, RhD - individuals compared to RhD + had higher levels of non-HDL cholesterol, LDL cholesterol, and remnant cholesterol, with ratios of geometric means of 1.21 (CI95% 1.03; 1.43), 1.20 (1.02; 1.41) and 1.38 (1.00; 1.92), respectively. No differences in lipid levels depending on the RhD blood group were seen in women or the older age groups.

Conclusion: Our study indicates that younger RhD - men have increased non-HDL, LDL, and remnant cholesterol levels. Thus, the RhD blood group, but not ABO, seems to be associated with dyslipidaemia and may act as a future possible risk marker of cardiovascular disease.

Background: Cardiovascular disease (CVD) is a major cause of mortality worldwide, necessitating more refined strategies for risk assessment. Recently, lipoprotein(a) [Lp(a)] has gained attention for its distinctive role in atherosclerosis, yet its prevalence and impact for cardiovascular risk assessment are not well-documented in the Portuguese population. This study aimed to characterize Lp(a) levels in a real-world Portuguese cohort, investigating its prevalence and association with CVD risk.

Methods: Retrospective and cross-sectional study of adults who underwent serum Lp(a) analysis in a Portuguese hospital between August 2018 and June 2022. Demographic and anthropometric data, laboratory values, relevant comorbidities and lipid-lowering medication were collected.

Results: Of 1134 participants, 28.7% had elevated Lp(a) levels (> 125 nmol/L). A higher prevalence was observed in those with atherosclerotic cardiovascular disease (ASCVD) (45.9%) or a family history of premature CVD (41.9%). Additionally, a significant association was found between elevated Lp(a) levels and traditional CVD risk factors, including hypertension, dyslipidemia, and diabetes mellitus. Among those classified as having low-to-moderate CVD risk by (Systematic COronary Risk Evaluation 2) SCORE2, 55.7% exhibited high Lp(a) levels (> 75 nmol/L), suggesting a potential higher risk of CVD disease.

Conclusions: The prevalence of elevated Lp(a) in Portugal, notably among those with ASCVD or premature CVD history, is concerning. This study underscores the potential of Lp(a) assessment for a more comprehensive approach to cardiovascular risk assessment. This could improve the stratification of CVD risk and identify individuals who could benefit from early intensive management of their risk factors, ultimately reducing the burden of CVD and cardiovascular-related mortality.

Background: Depression presents sexual dimorphism, and one important factor that increases the frequency of depression and contributes to sex-specific variations in its presentation is obesity. The conventional use of Body Mass Index (BMI) as an indicator of obesity is inherently limited due to its inability to distinguish between fat and lean mass, which limits its predictive utility for depression risk. Implementation of dual-energy X-ray absorptiometry (DXA) investigated sex-specific associations between body composition (fat mass, appendicular lean mass) and depression.

Methods: Data from the NHANES cycles between 2011 and 2018 were analyzed, including 3,637 participants (1,788 males and 1,849 females). Four body composition profiles were identified in the subjects: low adiposity-low muscle (LA-LM), low adiposity-high muscle (LA-HM), high adiposity-low muscle (HA-LM) and high adiposity-high muscle (HA-HM). After accounting for confounding variables, the associations between fat mass index (FMI), appendicular skeletal muscle mass index (ASMI), body fat percentage (BFP), body composition phenotypes, and depression risk were assessed using restricted cubic spline (RCS) curves and multivariable logistic regression models. We further conducted interaction analyses for ASMI and FMI in females.

Results: RCS curves indicated a U-shaped relationship between ASMI and the risk of depression in males. Logistic regression analysis revealed that in males, the second (OR = 0.43, 95%CI:0.22-0.85) and third (OR = 0.35, 95%CI:0.14-0.86) quartile levels of ASMI were significantly negatively associated with depression risk. In females, increases in BFP (OR = 1.06, 95%CI:1.03-1.09) and FMI (OR = 1.08, 95% CI:1.04-1.12) were significantly associated with an increased risk of depression. Additionally, compared to females with a low-fat high-muscle phenotype, those with LA-LM (OR = 3.97, 95%CI:2.16-7.30), HA-LM (OR = 5.40, 95%CI:2.34-12.46), and HA-HM (OR = 6.36, 95%CI:3.26-12.37) phenotypes were more likely to develop depression. Interestingly, further interaction analysis of ASMI and FMI in females revealed an interplay between height-adjusted fat mass and muscle mass (OR = 4.67, 95%CI: 2.04-10.71).

Conclusion: The findings demonstrate how important it is to consider body composition when estimating the risk of depression, particularly in females. There is a substantial correlation between the LA-LM, HA-LM, and HA-HM phenotypes in females with a higher prevalence of depression. It is advised to use a preventative approach that involves gaining muscle mass and losing fat.