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Observational studies have shown that non-alcoholic fatty liver disease (NAFLD) is strongly associated with metabolic dysfunction. However, there is a paucity of research on whether changes in indicators of serum metabolism contribute to the development of NAFLD. This study was conducted with 4084 participants who underwent healthy physical examinations at Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China, in 2022 and 2023. Baseline and follow-up measurements, including anthropometric data, abdominal ultrasound and blood samples were collected. The diagnosis of NAFLD was based on the 2010 Chinese Guidelines on Diagnosis and Treatment of NAFLD. Multiple logistic regression was utilized to analyze the odds ratios (ORs) for the 1-year risk of NAFLD in connection with both baseline metabolic indicators and changes in metabolic indicators observed over the course of 1 year. A total of 3425 study participants who were free of NAFLD at baseline, including 1146 men and 2279 women, were included in the final analysis. The mean age was 34.43 ± 7.20 years. Participants who developed NAFLD were older, male and had higher levels of body mass index (BMI), blood pressure, fasting blood glucose (FBG), triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), free triiodothyronine (fT3), uric acid (UA), alanine aminotransferase (ALT) and aspartate aminotransferase (AST); and lower levels of high-density lipoprotein cholesterol (HDL-C) and free thyroxine (fT4) (all P values < 0.05). The multivariable model showed that baseline BMI, diastolic blood pressure (DBP), TG, TC, HDL-C, LDL-C, UA, fT4, fT3, ALT and changes in TG, HDL-C, and UA were associated with the 1-year risk of developing NAFLD. The risk of NAFLD increased by 56% [OR 1.56, 95% Confidence Interval (CI) 1.32-1.87] and 40% (OR 1.40, 95% CI 1.19-1.64) for each standard deviation (SD) increase in altered TG values (1.01 mmol/L) and altered UA values (55 µmol/L) respectively. Conversely, for each SD (0.27 mmol/L) increase in HDL-C change, the 1-year risk of incident NAFLD was reduced by 50% (OR 0.50, 95% CI 0.40-0.62). The present study suggested that increases in TG and UA, and decreases in HDL-C, significantly increase the risk of developing NAFLD. Therefore, more attention should be paid to these factors in the management and prevention of NAFLD.
Subject(s)
Lipids , Non-alcoholic Fatty Liver Disease , Uric Acid , Humans , Non-alcoholic Fatty Liver Disease/blood , Non-alcoholic Fatty Liver Disease/epidemiology , Male , Female , Uric Acid/blood , Adult , China/epidemiology , Lipids/blood , Middle Aged , Risk Factors , Incidence , Body Mass IndexABSTRACT
BACKGROUND: Dysferlin-deficient limb-girdle muscular dystrophy type 2B (Dysf) mice are notorious for their mild phenotype. Raising plasma total cholesterol (CHOL) via apolipoprotein E (ApoE) knockout (KO) drastically exacerbates muscle wasting in Dysf mice. However, dysferlinopathic patients have abnormally reduced plasma high-density lipoprotein cholesterol (HDL-C) levels. The current study aimed to determine whether HDL-C lowering can exacerbate the mild phenotype of dysferlin-null mice. METHODS: Human cholesteryl ester transfer protein (CETP), a plasma lipid transfer protein not found in mice that reduces HDL-C, and/or its optimal adapter protein human apolipoprotein B (ApoB), were overexpressed in Dysf mice. Mice received a 2% cholesterol diet from 2 months of age and characterized through ambulatory and hanging functional tests, plasma analyses, and muscle histology. RESULTS: CETP/ApoB expression in Dysf mice caused reduced HDL-C (54.5%) and elevated ratio of CHOL/HDL-C (181.3%) compared to control Dysf mice in plasma, but without raising CHOL. Compared to the severe muscle pathology found in high CHOL Dysf/ApoE double knockout mice, Dysf/CETP/ApoB mice did not show significant changes in ambulation, hanging capacity, increases in damaged area, collagen deposition, or decreases in cross-sectional area and healthy myofibre coverage. CONCLUSIONS: CETP/ApoB over-expression in Dysf mice decreases HDL-C without increasing CHOL or exacerbating muscle pathology. High CHOL or nonHDL-C caused by ApoE KO, rather than low HDL-C, likely lead to rodent muscular dystrophy phenotype humanization.
Subject(s)
Apolipoproteins E , Cholesterol Ester Transfer Proteins , Cholesterol, HDL , Dysferlin , Mice, Knockout , Muscular Dystrophies, Limb-Girdle , Animals , Cholesterol Ester Transfer Proteins/genetics , Cholesterol Ester Transfer Proteins/deficiency , Dysferlin/genetics , Dysferlin/deficiency , Cholesterol, HDL/blood , Mice , Apolipoproteins E/genetics , Apolipoproteins E/deficiency , Muscular Dystrophies, Limb-Girdle/genetics , Muscular Dystrophies, Limb-Girdle/pathology , Humans , Muscle, Skeletal/metabolism , Muscle, Skeletal/pathology , Muscular Atrophy/genetics , Muscular Atrophy/pathology , Muscular Atrophy/metabolism , Male , Apolipoproteins B/blood , Apolipoproteins B/genetics , Disease Models, AnimalABSTRACT
Purpose: The current study investigated and compared serum levels of vitamin D (VD) and vaspin in AMI patients and healthy subjects and correlated these biomarkers with other biochemical risk factors for AMI. Patients and Methods: The research was carried out at King Abdulaziz University Hospital (KAUH) in Jeddah. Blood samples and additional information were gathered from 110 admitted AMI patients in the Intensive Coronary Care Unit (ICCU) (ages 40-65 years) and 50 adult, healthy volunteers whose BMI and age were similar to those of the patients. Results: AMI patients had significantly lower vaspin (p < 0.001) and VD levels (p < 0.001) than the control group. Fasting plasma glucose (FPG), hemoglobin A1C (HbA1c), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels were shown to be significantly different between AMI patients and controls. Among the AMI patients, 15 (13.6%) had deficient serum VD levels (≤20 ng/mL), 60 (54.5%) had insufficient levels (>20 - <30 ng/mL), and 35 (31.8%) had sufficient levels (≥30 ng/mL). In healthy subjects, VD levels were deficient in 4(8%), insufficient in 13 (26%), and sufficient in 33 (66%). VD insufficiency was more prevalent in AMI patients compared to the healthy group (54.5% vs 26%; p < 0.001). In AMI patients, serum vaspin was found to be related to age and HbA1c in the control group. VD did not show a significant correlation with any variable in AMI patients and healthy subjects. Serum vaspin (p = 0.89) and VD levels (p = 0.29) did not differ significantly between female and male control groups. Conclusion: Compared to the healthy group, AMI patients showed significantly lower vaspin and VD levels. Additionally, AMI patients had a higher prevalence of VD deficiency and insufficiency, suggesting its possible role in the occurrence of AMI.
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Atherosclerotic cardiovascular disease poses a significant global health issue, with dyslipidemia standing out as a major risk factor. In recent decades, lipid-lowering therapies have evolved significantly, with statins emerging as the cornerstone treatment. These interventions play a crucial role in both primary and secondary prevention by effectively reducing cardiovascular risk through lipid profile enhancements. Beyond their primary lipid-lowering effects, extensive research indicates that these therapies exhibit pleiotropic actions, offering additional health benefits. These include anti-inflammatory properties, improvements in vascular health and glucose metabolism, and potential implications in cancer management. While statins and ezetimibe have been extensively studied, newer lipid-lowering agents also demonstrate similar pleiotropic effects, even in the absence of direct cardiovascular benefits. This narrative review explores the diverse pleiotropic properties of lipid-modifying therapies, emphasizing their non-lipid effects that contribute to reducing cardiovascular burden and exploring emerging benefits for non-cardiovascular conditions. Mechanistic insights into these actions are discussed alongside their potential therapeutic implications.
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BACKGROUND: Cancer and sarcopenia are both closely related to lipid metabolism, but the relationship between lipid metabolism and patients with cancer and sarcopenia has not been thoroughly studied. The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) is a reliable measure of lipid metabolism. The purpose of this study was to determine the possible relationship between the NHHR and sarcopenia in individuals with cancer. METHODS: Data from the National Health and Nutrition Examination Survey (NHANES) database for individuals with cancer, with and without sarcopenia was analyzed using weighted multiple regression equations, weighted regression cubic spline (RCS) analysis, and weighted subgroup analysis. RESULTS: In total, 1,602 individuals with cancer were included, of whom 17.1% had sarcopenia. In Adjusted Model 2, the occurrence of sarcopenia was found to be significantly associated with a higher NHHR in cancer (95% confidence interval [CI]:1.01-1.39, P = 0.036). Individuals with high a NHHR had a 2.09-fold higher risk of developing sarcopenia in comparison to those with a low NHHR (95% CI:1.12-3.92, P = 0.022). RCS analysis further identified a U-shaped non-linear relationship between females with cancer and the muscle index. Subgroup analysis indicated that sex was a significant stratifying factor, whereas age, race, marital status, smoking and drinking habits, and history of cardiovascular disease, arthritis, hypertension, and diabetes had no significant impact. CONCLUSION: From the perspective of lipid metabolism, the NHHR may serve as an indicator for monitoring and preventing the occurrence of sarcopenia in individuals with cancer, particularly for females with cancer who appear to have greater sensitivity.
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Cholesterol, HDL , Neoplasms , Sarcopenia , Humans , Sarcopenia/blood , Sarcopenia/epidemiology , Neoplasms/blood , Neoplasms/complications , Neoplasms/epidemiology , Female , Male , Middle Aged , Cross-Sectional Studies , Cholesterol, HDL/blood , Aged , Nutrition Surveys , Adult , Risk Factors , Cholesterol/bloodABSTRACT
OBJECTIVES: This cross-sectional study aimed to characterize the differences of metabolic profiles and atherogenicity between various levels of fatigue severity in patients with major depressive disorder (MDD), and examine the extent to which metabolic abnormality correlates with fatigue severity. METHODS: We recruited 119 patients with MDD and assessed fatigue severity using Krupp's Fatigue Severity Scale. Blood samples were collected to determine plasma levels of fasting glucose, high-density lipoprotein cholesterol (HDL-C), triglycerides, total cholesterol and low-density lipoprotein cholesterol. The atherogenic index of plasma (AIP) was calculated as log10 (triglycerides/HDL-C). RESULTS: MDD with severe fatigue were more likely to be younger (43.3 ± 10.3 years vs. 49.4 ± 8.5 years, p = 0.001), had a younger age of onset (34.7 ± 9.7 years vs. 40.7 ± 9.5 years, p = 0.001), demonstrated higher HAMD scores (18.0 ± 7.6 vs. 10.9 ± 7.5, p < 0.001), as well as lower HDL-C levels (48.5 ± 10.8 vs. 55.3 ± 13.9, p = 0.003), a greater prevalence of low HDL-C (43.9% vs. 22.6%, p = 0.015) and higher AIP levels (0.4 ± 0.3 vs. 0.3 ± 0.3, p = 0.046). Both a decreased plasma HDL-C level (OR = 0.95, 95% CI = 0.91-0.99, p = 0.009) and a diagnosis of low HDL-C (OR = 3.29, 95% CI = 1.27-8.57, p = 0.015) were significantly correlated with an increased risk of fatigue severity. CONCLUSION: HDL-C could potentially protect patients with MDD from severe fatigue and the associated risk of cardiovascular disease.
Subject(s)
Cholesterol, HDL , Depressive Disorder, Major , Fatigue , Severity of Illness Index , Humans , Depressive Disorder, Major/blood , Depressive Disorder, Major/complications , Female , Male , Middle Aged , Cross-Sectional Studies , Fatigue/blood , Adult , Cholesterol, HDL/blood , Triglycerides/bloodABSTRACT
Objective: High-density lipoprotein cholesterol (HDL-C) is one of 5 components [high blood pressure, glucose, triglycerides, waist circumference, low HDL-C], 3 of which, needed to diagnose metabolic syndrome (MetS). Evolving research shows that higher HDL-C is not necessarily cardioprotective in midlife women, supporting a need to re-evaluate HDL-C's contribution to risks related to MetS. We tested whether risk of future diabetes and higher carotid intima-media thickness (cIMT) differ by HDL-C status in midlife women diagnosed with MetS based on the other 4 components. Methods Midlife women were classified into 3 groups: 1) no MetS, 2) MetS with HDL-C ≥ 50 mg/dL (MetS hiHDL), and 3) MetS with HDL-C < 50 mg/dL (MetS loHDL). cIMT was measured 13.8 ± 0.6 years post baseline. Incident diabetes was assessed yearly. Results: Among 2773 women (1350 (48 %) of them had cIMT), 2383 (86 %) had no MetS, 117 (4 %) had MetS hiHDL, 273 (10 %) had MetS loHDL. Compared with no MetS, both MetS- hiHDL and loHDL groups had higher cIMT and diabetes risk. Risk of having high cIMT did not differ between MetS loHDL vs. hiHDL groups. Adjusting for levels of MetS criteria other than HDL-C at baseline explained the associations of each of the two MetS groups with cIMT. Conversely, after adjustment, associations of MetS hiHDL and MetS loHDL with incident diabetes persisted. Conclusions: In midlife women, HDL-C status matters for predicting risk of incident diabetes but not higher cIMT beyond other MetS components.
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BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) primarily affects the adult population and is closely related to obesity. The most severe form of MASLD, metabolic dysfunction-associated steatohepatitis (MASH), can progress to liver fibrosis. While lipoprotein(a) (Lp(a)) is known to be associated with cardiovascular disease, its relationship with MASLD remains unclear. This study aims to determine the prevalence of MASLD in ambulatory patients and to explore the association between Lp(a) levels and advanced liver damage. METHODS: This retrospective cross-sectional study included 130 patients older than 18 years seen in a healthcare center in Medellin, Colombia, between April 2023 and May 2024. Sociodemographic, clinical, and specific biomarker data were collected. Patients with cirrhosis, previous liver disease, frequent alcohol consumption, cancer, and other severe conditions were excluded. Continuous variables were analyzed using Student's t-tests or Mann-Whitney tests according to their distribution, and categorical variables were analyzed using contingency tables and chi-square tests. RESULTS: Of the 130 patients, 57.9% (n=73) had MASLD, with a higher prevalence in patients with obesity (80%, n=32). Lp(a) levels were abnormally high in 43.1% (n=31) of patients; however, a weak but significant inverse correlation was found between Lp(a) levels and the Fibrosis-4 (FIB-4) score, which is used to assess the severity of liver fibrosis. Patients with MASLD had significantly lower high-density lipoprotein (HDL) and vitamin D levels, and higher levels of gamma-glutamyl transferase (GGT). CONCLUSIONS: This study highlights the significant prevalence of MASLD in outpatients and its relationship with various biomarkers, including Lp(a), HDL, vitamin D, and GGT. Although the findings suggest a possible utility of Lp(a) as a biomarker in MASLD, longitudinal studies are needed to confirm these associations and clarify their role in liver disease progression. The study's limitations include its cross-sectional nature and potential selection bias, indicating the need for further research to validate these results.
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INTRODUCTION: This study investigated the possible relationship between the Apo lipoprotein A1 /high-density lipoprotein cholesterol (ApoA1/HDL-C) ratio and coronary artery disease (CAD) in patients with type 2 diabetes (T2D). METHODS: This was a matched case-control study of 482 patients with T2D in two groups of CAD and (n = 241) non-CAD (n = 241). The patients were classified into four quartiles according to the ApoA1/HDL-C ratio, and multivariate logistic regression analysis was performed to assess the relationship between ApoA1/HDL-C and CAD. ROC analysis was also conducted. RESULTS: This study showed that the ApoA1/HDL-C ratio has an independent association with CAD in individuals with T2D. The CAD group exhibited a significantly higher ApoA1/HDL-C ratio than those without CAD (p-value = 0.004). Moreover, the risk of CAD increased significantly across the ApoA1/HDL-C ratio quartiles, with the highest odds in the fourth quartile. The second quartile showed an odds ratio (OR) of 2.03 (p-value = 0.048) compared to the first. Moving to the third quartile, the OR increased to 2.23 (p-value = 0.023). The highest OR was noted in the fourth, reaching 3.41 (p-value = 0.001). Employing a cut-off value of 2.66 and an area under the curve (AUC) of 0.885, the ApoA1/HDL-C ratio predicts CAD among patients with T2D with a sensitivity of 75% and a specificity of 91% (p-value < 0.001). CONCLUSION: The current study revealed an independent association between ApoA1/HDL-C ratio and CAD in patients with T2D. This ratio can be a promising tool for predicting CAD during the follow-up of patients with T2D, aiding in identifying those at higher risk for CAD.
Subject(s)
Apolipoprotein A-I , Biomarkers , Cholesterol, HDL , Coronary Artery Disease , Diabetes Mellitus, Type 2 , Predictive Value of Tests , Humans , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/complications , Apolipoprotein A-I/blood , Coronary Artery Disease/blood , Coronary Artery Disease/diagnosis , Male , Female , Middle Aged , Cholesterol, HDL/blood , Case-Control Studies , Aged , Biomarkers/blood , Risk Assessment , Risk Factors , PrognosisABSTRACT
Introduction: To analyze the influencing factors for progression from newly diagnosed prediabetes (PreDM) to diabetes within 3 years and establish a prediction model to assess the 3-year risk of developing diabetes in patients with PreDM. Methods: Subjects who were diagnosed with new-onset PreDM at the Physical Examination Center of the First Affiliated Hospital of Soochow University from October 1, 2015 to May 31, 2023 and completed the 3-year follow-up were selected as the study population. Data on gender, age, body mass index (BMI), waist circumference, etc. were collected. After 3 years of follow-up, subjects were divided into a diabetes group and a non-diabetes group. Baseline data between the two groups were compared. A prediction model based on logistic regression was established with nomogram drawn. The calibration was also depicted. Results: Comparison between diabetes group and non-diabetes group: Differences in 24 indicators including gender, age, history of hypertension, fatty liver, BMI, waist circumference, systolic blood pressure, diastolic blood pressure, fasting blood glucose, HbA1c, etc. were statistically significant between the two groups (P<0.05). Differences in smoking, creatinine and platelet count were not statistically significant between the two groups (P>0.05). Logistic regression analysis showed that ageing, elevated BMI, male gender, high fasting blood glucose, increased LDL-C, fatty liver, liver dysfunction were risk factors for progression from PreDM to diabetes within 3 years (P<0.05), while HDL-C was a protective factor (P<0.05). The derived formula was: In(p/1-p)=0.181×age (40-54 years old)/0.973×age (55-74 years old)/1.868×age (≥75 years old)-0.192×gender (male)+0.151×blood glucose-0.538×BMI (24-28)-0.538×BMI (≥28)-0.109×HDL-C+0.021×LDL-C+0.365×fatty liver (yes)+0.444×liver dysfunction (yes)-10.038. The AUC of the model for predicting progression from PreDM to diabetes within 3 years was 0.787, indicating good predictive ability of the model. Conclusions: The risk prediction model for developing diabetes within 3 years in patients with PreDM constructed based on 8 influencing factors including age, BMI, gender, fasting blood glucose, LDL-C, HDL-C, fatty liver and liver dysfunction showed good discrimination and calibration.
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Prediabetic State , Humans , Prediabetic State/epidemiology , Prediabetic State/blood , Prediabetic State/complications , Male , Female , Middle Aged , Risk Factors , Adult , Disease Progression , Follow-Up Studies , Risk Assessment , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/epidemiology , Body Mass Index , Blood Glucose/analysis , Blood Glucose/metabolism , Aged , Waist Circumference , Prognosis , China/epidemiologyABSTRACT
Introduction: Human immunodeficiency virus (HIV)-related morbidity and mortality have declined over time, but this increased longevity may lead to the development of other diseases, which may further manifest as the metabolic syndrome (MS). Method: To find out the point prevalence of MS in HIV positive patients, a cross-sectional prospective observational study was conducted on 200 patients who approached ART plus Centre of Government Medical College and Hospital Jammu, including 50 symptomatic patients HIV negative as controls. Results: The mean age group in MS was 37.85 ± 6.61. Males consisted of 55% (110) and females consisted of 45% (90). The overall prevalence of MS was 13.5%, with prevalence in males being 16.3% and in females 10%. Patients receiving first line highly active antiretroviral therapy (HAART) showed a 24% prevalence, while that of second line HAART showed a 14% prevalence. Central obesity (47.3%) was the most common component of MS followed by hyperglycemia (43.3%), hypertriglyceridemia (38.6%), and low high density cholesterol (HDL-C) level (38.6%). Out of 84 males with MS, 94% (79) males were having hypertriglyceridemia, 88% (74) were hypertensive, and 72% (60) were having FBS >=100. Out of 66 females with MS, 100% (66) females had central obesity and 88% (58) had hypertriglyceridemia and low HDL-C levels. Conclusion: The metabolic complications as a result of treatment with HAART leave HIV patients at a risk of developing cardiovascular disease and diabetes in spite of improvements in morbidity and mortality. Risk factors like central obesity, hypertension, hyperglycemia, and hypertriglyceridemia should be taken into consideration well before to prevent the add-on effect of developing MS.
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BACKGROUND: Previous studies into relationship between high-density lipoprotein cholesterol (HDL-C) and cognitive decline were constrained to a single measurement, leaving the association between HDL-C variability and risk of cognitive decline unclear. METHODS: We identified 5930 participants from the China Health and Retirement Longitudinal Study (CHARLS) who were devoid for stroke, dementia, and memory-related diseases at baseline and underwent a minimum of 2 sequential health examinations during 2011-2015. Variability in HDL-C was defined as (1) variability independent of the mean (VIM), (2) average real variability (ARV), and (3) standard deviation (SD) of HDL-C change from baseline and follow-up visits. Cognitive function was evaluated in 2018 by Mini-mental state examination (MMSE) in the Chinese version. Logistic regression was employed to explore the association between HDL-C variability and cognitive decline. Odd ratios (OR) and 95 % confidence intervals (CI) were reported. RESULTS: The study included participants from CHARLS, mean age of 57.84±8.44 years and 44 % male. After adjustment for covariates, the highest quartile of VIM was associated with an increased risk of cognitive decline [OR:1.049, 95 %CI: 1.014-1.086] compared to the lowest quartile. For each SD increment of VIM, the OR was 1.015 (95 %CI:1.003-1.027). Strong dose-response relationships were identified (P for trend: 0.005). Consistent results were obtained for other measures of HDL-C variability (ARV and SD). Similar patterns were identified in different dimensions of cognition. CONCLUSIONS: Elevated HDL-C variability was associated with increased cognitive decline risk. Strategies to reducing HDL-C variability may lower the risks of cognitive decline among the general population.
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Cholesterol, HDL , Cognitive Dysfunction , Humans , Male , Female , Cholesterol, HDL/blood , Cognitive Dysfunction/blood , Cognitive Dysfunction/epidemiology , China/epidemiology , Middle Aged , Aged , Longitudinal Studies , Risk Factors , Cohort Studies , Mental Status and Dementia TestsABSTRACT
BACKGROUND: Defining lipid goals solely on low-density lipoprotein-cholesterol (LDL-C) levels in Indian population may cause misclassification due to high prevalence of hypertriglyceridemia and small dense LDL-C particles. International guidelines now recommend Apoliporotein-B (Apo-B) and non-high-density lipoprotein-cholesterol (non-HDL-C) levels as alternative targets. In this study, we used a cross-sectional representative population database to determine Apo-B and non-HDL-C cut-offs corresponding to identified LDL-C targets and compared them to international guidelines. METHODS: A community-based survey carried out in urban Delhi and adjacent rural Ballabhgarh provided lipid values for 3047 individuals. The Spearman correlation coefficient was used to evaluate the degree of relationship between Apo-B and LDL-C and non-HDL-C. Cut-off values for Apo-B and non-HDL-C were established using receiver operator curve analysis correlating with guideline-recommended LDL-C targets. RESULTS: Spearman's rank correlations between Apo-B and LDL-C (0.82) and non-HDL-C and LDL-C (0.93) were significant (p < 0.05). Proposed corresponding cut-off values for LDL-C of 55, 70,100,130 and 160 mg/dl for Apo-B and non-HDL-C in our population were 75.3, 75.5, 91.3, 107.6, 119.4 mg/dL and 92.5,96.5, 123.5, 154.5, 179.5 mg/dL respectively. However, in those with triglycerides >150 mg/dl the corresponding Apo-B and non-HDL-C values were 85.1, 92.7, 103.5, 117.5 and 135 mg/dL and 124.5, 126.5, 147.5, 167.5 and 190.5 mg/L respectively. CONCLUSION: Based on this study we provide Apo-B and non-HDL cut-offs corresponding to target LDL-C values in Indian patients with and without high triglycerides. It is noted that in individuals with triglycerides ≥ 150 mg/dl, the Apo-B levels are much higher than the values recommended by guidelines.
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Apolipoproteins B , Cholesterol, LDL , Humans , Cross-Sectional Studies , India/epidemiology , Male , Female , Middle Aged , Cholesterol, LDL/blood , Adult , Apolipoproteins B/blood , Biomarkers/blood , Cholesterol, HDL/blood , PrevalenceABSTRACT
BACKGROUND: Abdominal aortic aneurysm (AAA) is highly lethal upon onset of acute aortic diseases (AAD) or rupture. Dyslipidaemia and hyperuricaemia are important risk factors for the development of AAA and AAD as well as aortic disease-related death. The aim of this study was to explore whether uric acid (UA) to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) can be used as an independent predictor of the presence of AAA or AAD. METHODS: Three hundred subjects, including 100 AAA patients (AAA group), 100 AAD patients (AAD group) and 100 controls (CON group), were recruited in this study. UHR and other serum samples were obtained upon the patients' admission before any medical treatment. The optimal cut-off points of UHR were determined using receiver operating characteristic (ROC) curve analysis. RESULTS: The UHR in AAA group was significantly higher than that in CON group, but there was no significant difference between AAD group and CON group. The optimal cut-off point of UHR for AAA was 7.78 (sensitivity 84.7%, specificity 62.4%, and AUC 0.811; p < 0.001), and UHR (OR: 1.122, 95%CI: 1.064-1.184; p < 0.001) was found to be an independent factor for predicting AAA after adjusting for traditional AAA risk factor. CONCLUSION: UHR can be widely used in clinical practice as an auxiliary tool for screening AAA. The optimal cut-off point for UHR to AAA was determined for the first time in Chinese subjects.
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Aortic Aneurysm, Abdominal , Cholesterol, HDL , Uric Acid , Humans , Aortic Aneurysm, Abdominal/blood , Aortic Aneurysm, Abdominal/diagnosis , Aortic Aneurysm, Abdominal/epidemiology , Uric Acid/blood , Male , Female , Cholesterol, HDL/blood , Aged , Middle Aged , ROC Curve , Risk Factors , Case-Control Studies , Biomarkers/blood , Predictive Value of Tests , Hyperuricemia/blood , Hyperuricemia/diagnosis , Hyperuricemia/complicationsABSTRACT
BACKGROUND: Atherosclerosis is a multi-factorial disease, and low-density lipoprotein cholesterol (LDL-C) is a critical risk factor in developing atherosclerotic cardiovascular disease (ASCVD). Cholesteryl-ester transfer-protein (CETP), synthesized by the liver, regulates LDL-C and high-density lipoprotein cholesterol (HDL-C) through the bidirectional transfer of lipids. The novelty of CETP inhibitors (CETPis) has granted new focus towards increasing HDL-C, besides lowering LDL-C strategies. To date, five CETPis that are projected to improve lipid profiles, torcetrapib, dalcetrapib, evacetrapib, anacetrapib, and obicetrapib, have reached late-stage clinical development for ASCVD risk reduction. Early trials failed to reduce atherosclerotic cardiovascular occurrences. Given the advent of some recent large-scale clinical trials (ACCELERATE, HPS3/TIMI55-REVEAL Collaborative Group), conducting a meta-analysis is essential to investigate CETPis' efficacy. METHODS: We conducted a thorough search of randomized controlled trials (RCTs) that commenced between 2003 and 2023; CETPi versus placebo studies with a ≥6-month follow-up and defined outcomes were eligible. PRIMARY OUTCOMES: major adverse cardiovascular events (MACEs), cardiovascular disease (CVD)-related mortality, all-cause mortality. SECONDARY OUTCOMES: stroke, revascularization, hospitalization due to acute coronary syndrome, myocardial infarction (MI). RESULTS: Nine RCTs revealed that the use of a CETPi significantly reduced CVD-related mortality (RR = 0.89; 95% CI: 0.81-0.98; p = 0.02; I2 = 0%); the same studies also reduced the risk of MI (RR = 0.92; 95% CI: 0.86-0.98; p = 0.01; I2 = 0%), which was primarily attributed to anacetrapib. The use of a CETPi did not reduce the likelihood any other outcomes. CONCLUSIONS: Our meta-analysis shows, for the first time, that CETPis are associated with reduced CVD-related mortality and MI.
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Background: The monocyte-to-high-density lipoprotein cholesterol ratio (MHR) has become a novel inflammation marker with a possible association with erectile dysfunction (ED); however, there are fewer studies exploring the association between MHR and ED. Aim: This study sought to explore the association between MHR and ED. Methods: This study population was drawn from participants in two 2-year cycles of the National Health and Nutrition Examination Survey (2001-2002 and 2003-2004). MHR was calculated as the ratio of monocyte count (103 cells/µL) to high-density lipoprotein cholesterol (mg/dL). The relationship between MHR and ED was explored using survey-weighted logistic regression models with MHR as a continuous variable and divided into tertiles (tertile 1 [T1]: <0.01; T2: 0.01-0.014; T3: >0.014). We also used a smooth curve fit (penalized spline method) to characterize the dose-response relationship between MHR and ED. In addition, subgroup analyses based on age, body mass index, smoking, hypertension, diabetes mellitus, and cardiovascular disease were performed to further analyze the data. Sensitivity analyses were also conducted to further assess the stability of the results. Outcomes: The main outcome measure was the difference in ED prevalence between MHR levels. Results: A total of 1361 participants were enrolled, with 513 (T1), 438 (T2), and 410 (T3) participants in the 3 MHR groups. After adjusting for all potential covariates, survey-weighted logistic regression analyses showed a significant association between MHR and ED (odds ratio [OR], 1.96; 95% confidence interval [CI], 1.26-3.05). When MHR was used as a categorical variable, the adjusted OR for ED prevalence increased significantly with increasing MHR after adjusting for all potential covariates (T3 vs T1: OR, 2.14; 95% CI, 1.29-3.55). The dose-response curves showed that the prevalence of ED increased with increasing MHR. Clinical Implications: Easy to access and low cost, MHR is a convenient clinical tool that helps clinicians in the prevention and treatment of ED. Strengths and Limitations: The present study is the first to examine the association between MHR and ED nationally representative data. However, the study population was derived from a U.S. database, so the findings are limited to the U.S. population. Conclusion: Our study demonstrated that MHR levels were independently associated with ED and that ED patients had higher MHR levels, suggesting that MHR may be a valuable predictor for identifying people at higher risk for ED.
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Lipid disorders are the most common (even 70%) and worst monitored cardiovascular risk factor (only 1/4 of patients in Poland and in CEE countries are on the low-density lipoprotein cholesterol (LDL-C) goal). To improve this, clear and simple diagnostic criteria should be introduced for all components of the lipid profile. These are the updated guidelines of the two main scientific societies in Poland in the area - the Polish Society of Laboratory Diagnostics (PSLD) and the Polish Lipid Association (PoLA), which, in comparison to those from 2020, introduce few important changes in recommendations (two main lipid targets, new recommendations on LDL-C measurements, calculations new goals for triglycerides, new recommendations on remnants and small dense LDL) that should help the practitioners to be early with the diagnosis of lipid disorders and in the effective monitoring (after therapy initiation), and in the consequence to avoid the first and recurrent cardiovascular events.
ABSTRACT
BACKGROUND: Menopause is associated with elevated cardiovascular risk due to the loss of the cardioprotective effect of oestrogens. Postmenopausal women are often prescribed hormone replacement therapy (HRT) in order to control menopause symptoms and correct hormone imbalances; however, HRT can impact serum lipids' concentrations. At present, data on the effect of the administration of medroxyprogesterone acetate plus conjugated equine oestrogens (MPACEE) on the lipid profile in females are uncertain, as the investigations conducted so far have produced conflicting results. Thus, we aimed to clarify the impact of MPACEE prescription on the serum lipids' values in women by means of a systematic review and meta-analysis of randomized controlled trials (RCTs). METHODS: We employed a random-effects model based on the DerSimonian and Laird method to determine the combined estimates of the intervention's impact on the lipid profile. The computation of the weighted mean difference (WMD) and its corresponding 95% confidence interval (CI) relied on the mean and standard deviation values from both the MPACEE and control group, respectively. RESULTS: A total of 53 RCTs were included in the meta-analysis with 68 RCT arms on total cholesterol (TC), 70 RCT arms on low-density lipoprotein cholesterol (LDL-C) and triglycerides (TG), and 69 RCT arms on high-density lipoprotein cholesterol (HDL-C). Administration of MPACEE resulted in a significant reduction of TC (WMD = -11.93 mg/dL; 95% CI: -13.42, -10.44; p < .001) and LDL-C (WMD = -16.61 mg/dL; 95% CI: -17.97, -15.26; p < .001) levels, and a notable increase in HDL-C (WMD = 3.40 mg/dL; 95% CI: 2.93, 3.86; p < .001) and TG (WMD = 10.28 mg/dL; 95% CI: 7.92, 12.64; p < .001) concentrations. Subgroup analysis revealed that changes in the lipid profile were influenced by several factors: body mass index (for TC, HDL-C, TG), MPACEE dosages (for TC, LDL-C, HDL-C, TG), age (for TC, LDL-C, HDL-C, TG), durations of the intervention (for TC, LDL-C, HDL-C, TG), continuous/sequential administration of MPACEE (continuous for TC; sequential for LDL-C, TG) administration of MPACEE and serum lipids' concentrations before enrolment in the RCT (for TC, LDL-C, HDL-C, TG). CONCLUSIONS: MPACEE administration can influence serum lipids' concentrations in females by raising HDL-C and TG levels and reducing LDL-C and TC values. Therefore, postmenopausal women who suffer from hypercholesterolaemia might benefit from this type of HRT.
Subject(s)
Cholesterol, HDL , Cholesterol, LDL , Estrogens, Conjugated (USP) , Medroxyprogesterone Acetate , Randomized Controlled Trials as Topic , Triglycerides , Female , Medroxyprogesterone Acetate/pharmacology , Medroxyprogesterone Acetate/administration & dosage , Humans , Estrogens, Conjugated (USP)/pharmacology , Estrogens, Conjugated (USP)/administration & dosage , Triglycerides/blood , Cholesterol, HDL/drug effects , Cholesterol, HDL/blood , Cholesterol, LDL/drug effects , Cholesterol, LDL/blood , Cholesterol/blood , Lipids/blood , Estrogen Replacement Therapy/methods , Postmenopause/drug effects , Middle AgedABSTRACT
BACKGROUND: Previous studies had reported depression symptoms and TG/HDLC ratio may share pathophysiological pathway. The aim was to investigate the combined effects of depression symptoms and TG/HDL-C ratio on the risk of CMM. METHODS: This cohort study extracted data from 2011 to 2018 of CHARLS. The CMM event occurred from 2013 to 2018, defined as suffering from more than one of stroke, cardiac events, and diabetes mellitus. Cox proportional hazards regression models were used to assess the association between the baseline combined effects of depression symptoms and TG/HDL-C ratio with incidence of CMM, stroke, cardiac events, and diabetes mellitus. RESULTS: A total of 8349 participants (3966 men and 4383 women) were included in the study, with a mean age of 58.5 years. During a 7-year follow-up survey, 370 (4.43 %) participants developed CMM. Compared to individuals with no depression symptoms and low TG/HDLC ratio, the multivariable-adjusted HRs (95%CI) for the new-onset CMM for patients with the depression symptoms alone, high TG/HDLC ratio alone, and depression symptoms and high TG/HDLC ratio were 1.37 (95 % CI = 0.95-1.98), 1.62 (95 % CI = 1.22-2.14), 1.94 (95 % CI = 1.39-2.72), respectively (P < 0.001). LIMITATIONS: Firstly, potential confounding factors such as dietary intake and nutrition were not collected at the time of study design. Secondly, exposure to the outcome was self-reported, which may cause recall bias or misclassification. Finally, the population was aged ≥45 years, so the results cannot be generalized to all age groups. CONCLUSION: Our findings indicated that patients with depression and high TG/HDLC ratio had a higher risk of developing CMM.
Subject(s)
Cholesterol, HDL , Depression , Multimorbidity , Triglycerides , Humans , Male , Female , China/epidemiology , Middle Aged , Cholesterol, HDL/blood , Triglycerides/blood , Depression/epidemiology , Depression/blood , Longitudinal Studies , Aged , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/blood , Diabetes Mellitus/epidemiology , Diabetes Mellitus/blood , Stroke/epidemiology , Stroke/blood , Proportional Hazards Models , IncidenceABSTRACT
BACKGROUND: Diabetes mellitus (DM) long-term macrovascular and microvascular complications pose significant health risks and increase mortality. In DM patients, metabolic syndrome (MetSy) either precedes or coexists with the condition. Central obesity, poor glycemic control, hypertension, elevated triglycerides (TG), and low high-density lipoproteins (HDL-C) are the components of MetSy. The purpose of this study is to investigate related diabetic microvascular complications in type 1 DM (T1DM) by comparing them with type 2 DM (T2DM), determine potential risk factors, and estimate prevalence based on the diagnosis of MetSy. METHODOLOGY: This study included 160 T1DM and 160 T2DM patients, totaling 320 DM patients. It was carried out from April 20, 2022, to September 31, 2023, at the Sheikh Zayed Hospital, Rahim Yar Khan, in the Outdoor Diabetic Clinic and Medicine Department. A unique questionnaire was utilized to gather socio-demographic, general, clinical, and laboratory data for the MetSy criteria set forth by the International Diabetes Federation (IDF). The blood pressure, BMI, and waist circumference (WC) were measured, while venous fasting blood was used to assess biochemical markers such as HDL-C, TG, and fasting blood sugar. The microvascular diabetes complications were identified using abdominal ultrasound, fundus ophthalmoscopy, and routine laboratory tests. We quantified and analyzed these variables individually for T1DM and T2DM patients with or without MetSy and compared them in the presence or absence of diabetes microvascular complications. RESULTS: MetSy prevalence was 25.62% (41, n=160) for T1DM and 60.62% (97, n=160) for T2DM, totaling 43.12%. Among T1DM patients with MetSy, the majority were married males, aged 36-49 years, with a BMI of 26.69±2.20 kg/m2 and a WC of 85.12±4.23, and 67.5% (108) patients had diabetes microvascular complications. Comparatively, in T2DM with MetSy, the majority were married females aged 50-59 years with a BMI of 29.79 ± 4.65 kg/m² and a large WC of 93.43±4.49, and 75% (123) patients had diabetes microvascular complications. Overall, this study noted significant p-values for hypertension, elevated TG, low HDL-c, high WC, obesity, female gender in T2DM, and above 36 years of age in both groups with MetSy. Diabetic retinopathy (DR) at 32.4% (p<0.001) was the most prevalent T1DM microvascular complication, followed by nephropathy (30.6%), neuropathy (DN) at 28.1%, and gastroparesis (DG) at 22.3%. Whereas in T2DM, the prevalence of DN was 36.3% (p<0.001), followed by DKD (29.3%), DG (28.9%), and DR (24.9%). CONCLUSION: Nearly a quarter of T1DM patients had MetSy, with increasing percentages of overweight and obese patients who are more likely to have DR, DKD, or DN. MetSy affects two-thirds of T2DM patients, with married obese females aged 50-59 being more susceptible than males, who are more likely to suffer DN, DKD, or DG. Risk factors that contribute to the MetSy burden in T1DM and T2DM include hypertension, poor glycemic management, low HDL-C, high TG, and a higher BMI or WC. Increasing age, female gender in T2DM, longer diabetes duration, and co-morbid hypertension were independent predictors of microvascular complications. DR, DN, DKD, and gastroparesis are the most prevalent diabetic microvascular sequelae. The clinical management of diabetic patients with healthy lifestyle adaptations, good glycemic control, antihypertensives, and statins will contribute greatly to MetSy prevention.