Higher HDL-C Levels Research Articles

Impact of allogenic Fecal Microbiota Transplantation (FMT) on lipid parameters in patients with metabolic syndrome (MetS): a meta-analysis

Abstract Background Metabolic Syndrome (MetS) has long been considered a formidable global health concern, and impaired lipid metabolism has been one of its crucial clinical manifestations. Fecal Microbiota Transplantation (FMT) has emerged as a potential therapeutic strategy for MetS, nevertheless, prior meta-analyses have not only yielded conflicting outcomes, but as well predominantly centered on glycemic parameters, leaving the potential impact of FMT on lipid metabolism remained unexplored. Purpose This meta-analysis systematically assessed the influence of allogenic FMT on lipid parameters in MetS patients, unraveling its potential as an innovative therapeutic modality for MetS. Methods A meta-analysis was performed to explore the impact of allogenic FMT on lipid parameters (low-density lipoprotein cholesterol [LDL-C], high-density lipoprotein cholesterol [HDL-C], total cholesterol [TCHO] and triglycerides [TG]) in patients with MetS. Terms regarding FMT and metabolic syndrome were searched in PubMed/Medline, EMBASE, Web of Science, the Cochrane Library, and Scopus from the inception of the databases until 31 August 2023. Ten randomized controlled trials (RCTs) were included and mean difference (MD) of parameters were pooled using a fixed effects model. Subgroup analyses according to follow-up durations were performed, and this study was registered in PROSPERO. Results A total of 532 patients in 10 studies were included. Patients undergoing allogenic FMT manifested significantly higher HDL-c level compared with control group (receiving placebo or autologous FMT, pooled MD 0.06 [95% CI: 0.02, 0.10]), and the result remained consistent in the subgroup with 4 to 6 weeks of follow-up (MD 0.07 [95% CI: 0.02, 0.10]). Though overall pooled result did not manifest a significant LDL lowering effect (MD -0.08 [95% CI: -0.21, 0.05]), in subgroup analyses, a significantly lowered LDL level was observed at 12 weeks of follow-up (MD -0.34 [95% CI: -0.60, -0.08]). No significant difference was observed between allogenic FMT and control group concerning TCHO ant TG levels regardless of lengths of follow-up. Conclusions An overall higher level of HDL-C and lowered LDL-C at 12 weeks of follow-up was observed in MetS patients receiving allogenic FMT. The results indicated that gut microbiota from lean, healthy donors may display a beneficial effect on modulating lipid metabolism in patients with MetS. Allogenic FMT manifested promising therapeutic impact and could serve as a viable intervention for MetS patients. Future large-scale RCTs are required for further validation.

Remnant cholesterol, clinical characteristics and mortality in 41.767 patients from LIPIDOGRAM 2004-2015 studies - the factor analysis for mixed data cluster analysis

Abstract Introduction Remnant cholesterol (remnant-C) contributes to residual cardiovascular risk and is produced by metabolism of triglyceride rich proteins. Aim To assess association between clinical characteristics of patients with elevated remnant-C in a large cohort of patients under the care of primary care physicians. Methods The LIPIDOGRAM studies were carried out in the primary care in Poland in 2004, 2006 and 2015. Patients (n=47,398) recruited in all 16 administrative regions in Poland and physicians were proportionally distributed to the number of inhabitants in each administrative region. Each patient was asked to fill the questionnaire on risk factors, chronic diseases, treatment and lifestyle. In the present analysis we included patients with body mass index (BMI )>18.5 kg/m2 aged 18-75 years. We set the cut-off point of fasting remnant cholesterol at >30 mg/dL (>0.77 mmol/L) that differentiated subjects at high risk of cardiovascular events. We carried out Factor Analysis for Mixed Data (FAMD) cluster analysis to discern groups of patients with similar clinical profiles. Results 41,767 patients, for which we had all relevant data, were included in the analysis. Follow-up rate was 97.8%. Three FAMD-derived clinical characteristics patterns accounted for 47.8% of the total variance and were retained for further analysis. The first pattern was associated with higher prevalence of metabolic syndrome (MetS), higher waist circumference, higher levels of non-HDL-C and remnant-C levels. The second pattern was distinguished by lipid parameters, particularly higher HDL-C levels, and was not significantly associated with comorbid conditions. The third pattern was linked to male sex, previous myocardial infarction, smoking, age, lower remnant-C levels, and reduced prevalence of obesity. All patterns were associated with 5-year mortality. The hazard ratio (HR) for mortality per 1 standard deviation (SD) increase in the first pattern score was 1.18 (95% CI: 1.16-1.22, p<0.001). Patients with clinical characteristics corresponding to second pattern had more favorable outcome HR (per 1SD score increase) – 0.75, 95%CI (0.73-0.78, p<0.001). Patients in third cluster, similarly to patients in cluster 1 had increased mortality HR (per 1SD score) – 1.10, (95%CI:1.06-1.15, p <0.001). Higher (>0.77 mmol/l / 30 mg/dl) remnant-C cholesterol significantly contributed to classification of patients into first and third clusters. It was positively associated with first pattern (r=0.64, p<0.001), but negatively with the third pattern (r=0.39, p<0.001). Conclusions Elevated Remnant-C was associated with clinical pattern typical for metabolic syndrome. Interestingly, lower remnant-C levels in patients with comorbidities and more advanced age may not automatically be indicative of a better prognosis – this requires further investigation.Figure 1.Figure 2.

Assessing the effects of HMGCR, LPL, and PCSK9 inhibition on sleep apnea: Mendelian randomization analysis of drug targets.

To investigate the use of lipid-lowering drugs and abnormal serum lipid levels in patients at risk of sleep apnea syndrome. Three types of Mendelian randomization (MR) analyses were used. First, a 2-sample Mendelian randomization (TSMR) analysis was used to investigate the association between sleep apnea syndrome risk and serum lipid levels. Multivariate Mendelian randomization (MVMR) analysis was subsequently used to investigate the effects of confounding variables on SAS incidence of sleep apnea syndrome. Finally, drug-target Mendelian randomization (DMR) analysis was used to analyze the association between lipid-lowering drug use and sleep apnea syndrome risk. According to the TSMR analysis, the serum HDL-C concentration was negatively correlated with sleep apnea syndrome (OR = 0.904; 95% CI = 0.845-0.967; P = .003). Serum TG levels were positively correlated with sleep apnea syndrome (OR = 1.081; 95% CI = 1.003-1.163; P = .039). The association between serum HDL-C levels and sleep apnea syndrome in patients with MVMR was consistent with the results in patients with TSMR (OR = 0.731; 95% CI = 0.500-1.071; P = 3.94E-05). According to our DMR analysis, HMGCR and PCSK9, which act by lowering serum LDL-C levels, were inversely associated with the risk of sleep apnea syndrome (OR = 0.627; 95% CI = 0.511-0.767; P = 6.30E-06) (OR = 0.775; 95% CI = 0.677-0.888; P = .0002). LPL, that lowered serum TG levels, was positively associated with the risk of sleep apnea syndrome (OR = 1.193; 95% CI = 1.101-1.294; P = 1.77E-05). Our analysis suggested that high serum HDL-C levels may reduce the risk of sleep apnea syndrome. Low serum TG levels have a protective effect against sleep apnea syndrome. The DMR results suggested that the use of HMGCR lipid-lowering drugs (such as statins) and PCSK9 inhibitors has a protective effect against sleep apnea syndrome. However, LPL-based lipid-lowering drugs may increase the risk of sleep apnea syndrome.

Type 2 diabetes and susceptibility to COVID-19: a machine learning analysis

BackgroundType 2 diabetes mellitus (T2DM) was one of the most prevalent comorbidities among patients with coronavirus disease 2019 (COVID-19). Interactions between different metabolic parameters contribute to the susceptibility to the virus; thereby, this study aimed to rank the importance of clinical and laboratory variables as risk factors for COVID-19 or as protective factors against it by applying machine learning methods.MethodThis study is a retrospective cohort conducted at a single center, focusing on a population with T2DM. The patients attended the Yazd Diabetes Research Center in Yazd, Iran, from February 20, 2020, to October 21, 2020. Clinical and laboratory data were collected within three months before the onset of the COVID-19 pandemic in Iran. 59 patients were infected with COVID-19, while 59 were not. The dataset was split into 70% training and 30% test sets. Principal Component Analysis (PCA) was applied to the data. The most important components were selected using a ‘sequential feature selector’ and scored by a Linear Discriminant Analysis model. PCA loadings were then multiplied by the PCs’ scores to determine the importance of the original variables in contracting COVID-19.ResultsHDL-C, followed by eGFR, showed a strong negative correlation with the risk of contracting the virus. Higher levels of HDL-C and eGFR offer protection against COVID-19 in the T2DM population. But, the ratio of BUN to creatinine did not show any correlation. Conversely, the AIP, TyG index and TG showed the most positive correlation with susceptibility to COVID-19 in such a way that higher levels of these factors increase the risk of contracting the virus. The positive correlation of diastolic BP, TyG-BMI index, MAP, BMI, weight, TC, FPG, HbA1C, Cr, systolic BP, BUN, and LDL-C with the risk of COVID-19 decreased, respectively.ConclusionThe atherogenic index of plasma, triglyceride glucose index, and triglyceride levels are the most significant risk factors for COVID-19 contracting in individuals with T2DM. Meanwhile, high-density lipoprotein cholesterol is the most protective factor.

Efficacy of Vitamin-D supplementation in improving the prognosis of H-type hypertension in elderly patients

Objective: To investigate the correlation between 25-hydroxyvitamin D and H-type hypertension in elderly patients, and to observe the clinical efficacy of vitamin D supplementation in those patients. Methods: This was a retrospective study. One hundred and twenty elderly hypertensive patients treated at The Affiliated Hospital of Hebei University from June 2022 to June 2023 were randomly divided into Group-A (n=60) with hypertension and elevated homocysteine (Hcy) levels (H-type hypertension), and Group-B(n=60) with hypertension and normal Hcy levels. Blood levels of 25-hydroxyvitamin D and 24 hours ambulatory blood pressure were assessed in both groups of patients upon admission, with the correlation analysis performed simultaneously. The therapeutic effects were compared between the two groups. Results: Through Pearson correlation analysis, there were negative correlations of serum 25-hydroxyvitamin D levels with 24 hours SSD, 24 hours DSD, dnSBP, and nDBP(all p<0.05). After 12 weeks of treatment, the treatment group had higher 25-hydroxyvitamin D levels and lower 24 hours SBP, 24h DBP, dSBP, dDBP, nSBP, nDBP levels than those of the control group(p<0.05). After treatment, the treatment group had lower blood Hcy, IMT, TC, TG, and LDL-C levels(p<0.05), and higher HDL-C levels(p<0.05) than those of the control group. Conclusion: Serum 25-hydroxyvitamin D levels in elderly patients with H-type hypertension have negative correlations with 24 hours SSD, 24 hours DSD, dnSBP, and nDBP. Oral vitamin D supplementation for H-type hypertensive patients exhibits significant therapeutic effects, with improvements in 24 hours ambulatory blood pressure monitoring results, blood lipid levels, IMT, and blood Hcy levels after treatment. doi: https://doi.org/10.12669/pjms.40.10.8464 How to cite this: Zang S, Zhao Q, Xiao N, Liu S. Efficacy of Vitamin-D supplementation in improving the prognosis of H-type hypertension in elderly patients. Pak J Med Sci. 2024;40(10):2379-2383. doi: https://doi.org/10.12669/pjms.40.10.8464 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Comparison between statistical and machine learning methods to detect the hematological indices with the greatest influence on elevated serum levels of low-density lipoprotein cholesterol

IntroductionElevated levels of low-density lipoprotein-cholesterol (LDL-C) is a significant risk factor for the development of cardiovascular diseases (CVD)s. Furthermore, studies have revealed an association between indices of the complete blood count (CBC) and dyslipidemia. We aimed to investigate the relationship between CBC parameters and serum levels of LDL. MethodIn a prospective study involving 9704 participants aged 35–65 years, comprehensive screening was conducted to estimate LDL-C levels and CBC indicators. The association between these biomarkers and high LDL-C (LDL-C≥130 mg/dL (3.25 mmol/L)) was investigated using various analytical methods, including Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), Neural Network (NN), and Support Vector Machine (SVM) methodologies. ResultThe present study found that age, hemoglobin (HGB), hematocrit (HCT), platelet count (PLT), lymphocyte (LYM), PLT-LYM ratio (PLR), PLT-High-Density Lipoprotein (HDL) ratio (PHR), HGB-LYM ratio (HLR), red blood cell count (RBC), Neutrophil-HDL ratio (NHR), and PLT-RBC ratio (PRR) were all statistically significant between the two groups (p<0.05). Another important finding was that red cell distribution width (RDW) was a significant predictor for higher LDL levels in women. Furthermore, in men, RDW-PLT ratio (RPR) and PHR were the most important indicators for assessing the elevated LDL levels. ConclusionThe study found that sex increases LDL-C odds in females by 52.9 %, while age and HCT increase it by 4.1 % and 5.5 %, respectively. RPR and PHR were the most influential variables for both genders. Elevated RPR and PHR were negatively correlated with increased LDL levels in men, and RDW levels was a statistically significant factor for women. Moreover, RDW was a significant factor in women for high levels of HDL-C.The study revealed that females have higher LDL-C levels (16 % compared to 14 % of males), with significant differences across variables like age, HGB, HCT, PLT, RLR, PHR, RBC, LYM, NHR, RPR, and key factors like RDW and SII.

Genetic susceptibility and clinical features of CYP2D6 associated with systemic lupus erythematosus in a Chinese population.

This study aims to explore possible susceptibility genes and clinical features for systemic lupus erythematosus (SLE) patients in a Chinese population. Expanding on the results of a prior single-center observational study involving 60 systemic lupus erythematosus patients, a subsequent single-center prospective observational study was conducted on SLE patients undergoing treatment at Nanfang Hospital Affiliated to Southern Medical University from 2021 to 2023. The identification process for drug-related target genes entailed an extensive search across PharmGKB (https://www.pharmgkb.org/), the Clinical Pharmacogenetics Implementation Consortium (CPIC),and PubMed literature databases, to pinpoint common drugs and target single nucleotide polymorphisms(SNPs)for SLE. Blood samples were individually collected and genotyped using MassARRAY® high-throughput nucleic acid mass spectrometry. Genotype frequency differences were assessed through Chi-square tests against both the larger East Asian population as well as kidney transplant recipients. Data collection relied on electronic medical records, encompassing demographic details(age, gender),medication regimens(hormones, NSAIDs, hydroxychloroquine, DMARDs, biologic agents, stomach medications, calcitriol, etc.),laboratory indicators(RF, Anti-CCP antibody, ESR, CRP, anti-ANA antibodies, dsDNA antibodies, anti-SM antibodies, S m. RNP antibodies, A LT, ALB, CR, UA, WBC, PLT, HGB, Ca, K, Glu, CHOL, TG, LDL-C, HDL-C) and lupus activity scores(SLEDAI-2K). Possible disease susceptibility genes were categorized, and SPSS26 software facilitated statistical analyses. The research encompassed a total of 137 SLE patients along with 50 SNPs. After conducting statistical analyses, it emerged that there existed significant disparities in CYP2D6 gene (rs1065852) distribution when compared against allele mutation rates within both East Asian populations (p < .05) and kidney transplant patients(p < .05). Wild-type gene (GG) constituted 14% of cases while mutant gene (GA + AA) constituted 86%. Allele mutation rate (A63.6%) was significantly higher among SLE patients (RR = 0.802; p = .0355). Furthermore, the variant rs1065852 genotype (GA + AA) demonstrated significant associations with lower CRP levels, higher HGB levels, and higher HDL-C levels (p < 0 0.05). The metabolic enzyme CYP2D6 may be used as susceptibility gene for predicting systemic lupus erythematosus and are correlated with CRP and other indicators.

Cognitive impairment and depression precede increased HDL-C levels in middle-aged and older Chinese adults: cross-lagged panel analyses

BackgroundHigh-density lipoprotein cholesterol (HDL-C) is widely recognized for its protective effects against cognitive decline. However, recent studies have presented conflicting results, with some suggesting no significant cognitive benefits or even an increased risk of dementia associated with high HDL-C levels. For those who suffer from depression, the cognitive benefits of HDL-C may be diminished or reversed. The purpose of this study is to investigate the associations between HDL-C, cognitive ability, and depressive symptoms in middle-aged and older Chinese adults.MethodsThe datasets utilized were sourced from the China Health and Retirement Longitudinal Study (CHARLS) for the years 2011 and 2015, comprising 4,302 participants. Cross-lagged models were employed to explore the temporal sequence between cognitive performance and HDL-C levels, and to examine the interplay among depression, cognition, and HDL-C. Confounding factors such as sociodemographic characteristics, sleep conditions, and history of chronic diseases were controlled for.ResultsThe analysis revealed unidirectional effects of baseline impaired cognition and greater severity of depression on increased HDL-C levels at follow-up (β = − 0.036 and β = 0.028, respectively, P < 0.05). However, higher baseline HDL-C levels did not significantly predict cognitive performance or depression 4 years later (β = − 0.008 and β = 0.023, respectively, P > 0.05). Depressive symptoms and cognition were found to have a significant bidirectional association (β = − 0.026 and β = − 0.053, respectively, P < 0.05).ConclusionsCognitive impairment and depression are associated with higher HDL-C levels, whereas higher HDL-C levels do not appear to protect against cognitive decline or depressive symptoms. These findings underscore the importance of preserving cognitive and mental health, which may lower the likelihood of cardiovascular disease and dementia. Future studies should validate these findings and develop targeted interventions tailored to specific populations.

Apolipoprotein E E3/E4 genotype is associated with an increased risk of premature coronary artery disease

ObjectiveDyslipidemia is one of the causes of coronary heart disease (CAD), and apolipoprotein E (APOE) gene polymorphism affects lipid levels. However, the relationship between APOE gene polymorphisms and premature CAD (PCAD, male CAD patients with ≤ 55 years old and female with ≤ 65 years old) risk had different results in different studies. The aim of this study was to assess this relationship and to further evaluate the relationship between APOE gene polymorphisms and PCAD risk in the Hakka population.MethodsThis study retrospectively analyzed 301 PCAD patients and 402 age matched controls without CAD. The APOE rs429358 and rs7412 polymorphisms were genotyped by polymerase chain reaction (PCR) -chip technique. The distribution of APOE genotypes and alleles between the case group and the control group was compared. The relationship between APOE genotypes and PCAD risk was obtained by logistic regression analysis.ResultsThe frequency of the APOE ɛ3/ɛ4 genotype (18.9% vs. 10.2%, p = 0.001) and ε4 allele (11.1% vs. 7.0%, p = 0.007) was higher in the PCAD patients than that in controls, respectively. PCAD patients with ɛ2 allele had higher TG level than those with ɛ3 allele, and controls carried ɛ2 allele had higher HDL-C level and lower LDL-C level than those carried ɛ3 allele. Regression logistic analysis showed that BMI ≥ 24.0 kg/m2 (BMI ≥ 24.0 kg/m2 vs. BMI 18.5–23.9 kg/m2, OR: 1.763, 95% CI: 1.235–2.516, p = 0.002), history of smoking (Yes vs. No, OR: 5.098, 95% CI: 2.910–8.930, p < 0.001), ɛ3/ɛ4 genotype (ɛ3/ɛ4 vs. ɛ3/ɛ3, OR: 2.203, 95% CI: 1.363–3.559, p = 0.001), ε4 allele (ε4 vs. ε3, OR: 2.125, 95% CI: 1.333–3.389, p = 0.002), and TC level (OR: 1.397, 95% CI: 1.023–1.910, p = 0.036) were associated with PCAD.ConclusionsIn summary, BMI ≥ 24.0 kg/m2, history of smoking, APOE ɛ3/ɛ4 genotype, and TC level were independent risk factors for PCAD. It means that young individuals who are overweight, have a history of smoking, and carried APOE ɛ3/ɛ4 genotype had increased risk of PCAD.

Coronary artery event-free or resilient familial hypercholesterolemia: what's in a name?

Familial hypercholesterolemia (FH) is an autosomal semi-dominant condition, characterized by excessive circulating low-density lipoprotein cholesterol (LDL-C) from birth that substantially accelerates the onset and progression of atherosclerotic cardiovascular disease (ASCVD), classically coronary artery disease (CAD). Elevated plasma LDL-C integrated over time is unequivocally the major determinant of ASCVD in heterozygous FH (HeFH); however, the wide variation in incidence and progression of ASCVD suggests a role for a wide spectrum of risk modifiers. We reviewed recent evidence describing the features of an ASCVD-free entity referred to as resilient FH among patients with HeFH. Compared with nonresilient FH patients, resilient patients are more likely to be female, and have a lower prevalence of ASCVD comorbidities, higher levels of HDL-C and larger HDL particles, as well as a lower level of lipoprotein(a). A lower SAFEHEART risk score is also an independent predictor of resilient FH. Gene expression studies also demonstrate that resilient FH patients are associated with a less atherogenic gene expression profile in relation to HDL metabolism and immune responses, as reflected by higher expression of ABCA1 and ABCG1, and lower expression of STAT2 and STAT3, respectively. A group of HeFH patients, referred as resilient FH, can survive to advance ages without experiencing any ASCVD events. Several key contributors to the event-fee CAD in HeFH patients have been identified. This could not only improve risk stratification and management for FH but also be of major importance for the general population in primary and secondary prevention. However, resilient FH remains an under-investigated area and requires further research.

Morning physical activity may be more beneficial for blood lipids than afternoon physical activity in older adults: a cross-sectional study

BackgroundThe effect of differences in daily physical activity patterns on blood lipids has not been determined. This study examines the effects of the differences in free-living daily physical activity patterns (amount and intensity) on blood lipid levels in older adults.MethodsThis cross-sectional study included 51 older participants (71.8 ± 0.6 years, men = 8, women = 43). A triaxial accelerometer was used to assess physical activity patterns. The time from awakening to bedtime for each participant was used for group classification based on the amount (number of steps) and intensity (moderate-to-vigorous physical activity, MVPA) of physical activity. The morning step group (M Step) was defined as those who took more steps in the morning, and the afternoon step group (A Step) was defined as those who took more steps in the afternoon. The same method was used for MVPA (morning MVPA: M MVPA; afternoon MVPA: A MVPA). Blood samples were collected at the start of the study to determine blood lipid levels.ResultsNumber of steps taken showed a trend toward lower low-density lipoprotein cholesterol (LDL-C) levels in the M Step group compared with the A Step group. The LDL/high-density lipoprotein (HDL) ratio was significantly lower in the M Step group than the A Step group (p < 0.05). The M MVPA group also had higher HDL-C levels and significantly lower LDL/HDL ratios than the A MVPA group (p < 0.05).ConclusionsThese results suggest that compared with afternoon physical activity, daily morning physical activity (amount and intensity) is more effective in improving blood lipid levels.

Association between very high HDL-C levels and mortality: A systematic review and meta-analysis

Recent research has raised questions about the assumed cardiovascular (CV) benefits of high-density lipoprotein cholesterol (HDL-C) and the potential for adverse outcomes with extremely high levels. We conducted a meta-analysis to investigate the association between very high HDL-C levels (≥80 mg/dL) and mortality outcomes in individuals without coronary artery disease (CAD). We systematically searched PubMed, Embase, and Cochrane databases for studies comparing very high HDL-C levels to normal levels (40-60 mg/dL) in CAD-free individuals. We assessed heterogeneity using I2 statistics with a random-effects model. Our analysis included 1,004,584 individuals from 8 studies, of whom 133,646 (13.3 %) had very high HDL-C levels. All-cause mortality did not significantly differ between groups (p = 0.55), nor did cancer mortality (p = 0.45). Cardiovascular mortality showed no change in those with very high HDL-C (HR 1.05; 95 % CI 0.94-1.17; p = 0.37). Fatal and non-fatal coronary heart disease events were less frequent in the very high HDL-C group (HR 0.79; 95 % CI 0.73-0.86; p < 0.00001). Subgroup dose-response analysis revealed that very high HDL-C levels increased cardiovascular death in women above 116 mg/dL (HR 1.47; 95 % CI 1.01-2.15) and in men above 94 mg/dL (HR 1.29; 95 % CI 1.01-1.65) (p_nonlinearity <0.01). These findings suggest that very high HDL-C levels are not protective against cardiovascular mortality and may, in fact, increase CV mortality risk specially in men.

Estrogen Induces LCAT to Maintain Cholesterol Homeostasis and Suppress Hepatocellular Carcinoma Development.

Hepatocellular carcinoma (HCC) is an aggressive disease that occurs predominantly in men. Estrogen elicits protective effects against HCC development. Elucidation of the estrogen-regulated biological processes that suppress HCC could lead to improved prevention and treatment strategies. Here, we performed transcriptomic analyses on mouse and human liver cancer and identified lecithin cholesterol acyltransferase (LCAT) as the most highly estrogen-upregulated gene and a biomarker of favorable prognosis. LCAT upregulation inhibited HCC in vitro and in vivo and mediated estrogen-induced suppression of HCC in an ESR1-dependent manner. LCAT facilitated high-density lipoprotein cholesterol production and uptake via the LDLR and SCARB1 pathways. Consistently, high HDL-C levels corresponded to a favorable prognosis in HCC patients. The enhanced HDL-C absorption induced by LCAT impaired SREBP2 maturation, which ultimately suppressed cholesterol biosynthesis and dampened HCC cell proliferation. HDL-C alone inhibited HCC growth comparably to the cholesterol-lowering drug lovastatin, and SREBF2 overexpression abolished the inhibitory activity of LCAT. Clinical observations and cross-analyses of multiple databases confirmed the correlation of elevated LCAT and HDL-C levels to reduced cholesterol synthesis and improved HCC patient prognosis. Furthermore, LCAT deficiency mimicked whereas LCAT overexpression abrogated the tumor growth-promoting effects of ovariectomy in HCC-bearing female mice. Most importantly, HDL-C and LCAT delayed the development of subcutaneous tumors in nude mice, and HDL-C synergized with lenvatinib to eradicate orthotopic liver tumors. Collectively, this study reveals that estrogen upregulates LCAT to maintain cholesterol homeostasis and to dampen hepatocarcinogenesis. LCAT and HDL-C represent potential prognostic and therapeutic biomarkers for targeting cholesterol homeostasis as a strategy for treating HCC. Significance: Estrogen mediates the sex differences in hepatocellular carcinoma development by reducing cholesterol biosynthesis through activation of an LCAT/HDL-C axis, providing strategies for improving liver cancer prevention, prognosis, and treatment.

The abnormalities of lipid metabolism in children and adolescents with major depressive disorder and relationship with suicidal ideation and attempted suicide

BackgroundMajor depressive disorder (MDD) is a widespread health issue in many countries, which has an extremely negative impact on the health of children and adolescents in particular. In the context of depression and metabolic disorders, dyslipidemia and metabolism-related problems become more prominent comorbidities. However, they continue to be the main barrier to the successful recovery of the clinical progress. In this study we investigated the rate of dyslipidemia, additional risk factors among Chinese children and adolescents with MDD, and association of the suicidal behavior with lipid levels. MethodsThe study took 756 people from the Third People's Hospital of Fuyang between January 2020 and December 2021, aged between 8 and 18, with major depressive disorders diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). We determined the FBG (fasting blood glucose) and lipid parameters in all subjects and also investigated the history of suicidal ideation, the cases of attempted suicide, and the scores of depressive symptoms. Sociodemographic and clinical data were gathered and analyzed using the SPSS-23.0 version. ResultsThe prevalence of hypercholesterolemia, hypertriglyceridemia, high LDL-C, and low HDL-C were 5.42 % (41/756), 10.58 % (80/756), 3.84 % (29/756) and 5.42 % (41/756) respectively. For hypercholesterolemia and hypertriglyceridemia, they were positive associated with suicidal ideation and suicide attempts, and the positive correlation is shown between low HDL-C levels and suicide attempts. Nevertheless, non-ideation and inversely suicidal attempts were not discovered among high-LDL-C subjects. Logistic analysis showed that high levels of FBG (OR = 2.86, 95 % CI: 1.31–6.25, P = 0.008) and worse LDL-C (OR = 357.82, 95 % CI: 66.16–1935.10, P < 0.001) are the independent associated factors for hypercholesterolemia. More hospitalizations (OR = 1.89, 95 % CI: 1.07–3.35, P = 0.028), obesity (OR = 2.55, 95 % CI: 1.25–5.18, P = 0.010), high levels of TC (OR = 2.15, 95 % CI: 1.03–4.48, P = 0.042), and higher doses of antidepressants (OR = 1.02, 95 % CI: 1.00–1.04, P = 0.029) were independently associated factors for hypertriglyceridemia, while high levels of HDL-C (OR = 0.11, 95 % CI: 0.04–0.31, P < 0.001) were protective factors. In addition, high levels of TC (OR = 113.94, 95 % CI: 20.01–648.85) were statistically different (P < 0.001) and suggested that the factor was significantly related to high LDL-C. Meanwhile, older age (OR = 1.25, 95 % CI: 1.02–1.52, P = 0.030) and high levels of TG (OR = 3.00, 95 % CI: 1.98–4.55, P < 0.001) were independent factors contributing to low HDL-C. ConclusionThe high prevalence of dyslipidemia in childhood and adolescence among children and adolescents with depressive disorder has become a public health issue. Hypercholesterolemia and hypertriglyceridemia showed a positive correlation with suicidal thoughts and suicidal attempts. Monitoring the incidence of suicidal thoughts and attempts among them would carry some predictor meaning in therapy and for jumping back to health.

Association between genetic polymorphisms and other attributing factors with lipid profiles among statin users: a cross-sectional retrospective study

BackgroundStatins are well known for their efficacy to improve lipid profiles. Their efficacy varies between individuals and can be modified by patient factors such as genetic polymorphisms. This study used a cross-sectional retrospective design to assess the effect of selected single nucleotide polymorphisms (SNPs) and other patient-specific clinical variables on statin-related lipid profile changes in a subgroup of Malaysians. The impact of low and moderate intensity of statin doses (10–40 mg/day for at least six weeks), regardless of statin types, was assessed between SNPs of previously identified genes with clinical relation to statin efficacy and lipid profile changes before (baseline) and after statin treatment; two ranges of treatment durations, i.e. ≤ 6 months and 7–12 months. DNA was extracted from patient's venous blood (3 mL), and SNP genotyping was performed using PCR–RFLP method. Using a dominant genetic model, the association between selected SNPs from six genes of interest (ABCG2, ABCC2, APOE, APOA5, GATM and COQ2) and the patients' lipid profiles was investigated.ResultsA total of 229 statin-treated patients were included. The mean age of the patients was 53 ± 7.16 years, and they were mostly females (53.3%), Malay (96.1%), and were taking atorvastatin and simvastatin (90.4%). Seven SNPs genotyped from six genes investigated were related to different lipid profile before and after statin treatment. At baseline, ABCG2 rs2231142 (P = 0.035) and APOA5 rs662799 (P = 0.007) variants had higher HDL-c levels, while ABCC2 rs717620 variants had higher TC (P = 0.040) and LDL-c levels (P = 0.022). Following statin treatment, ABCC2 rs717620 (lower TG, P = 0.009) and APOA5 rs662799 (higher HDL, P = 0.031; lower TG, P = 0.037) were associated with improved lipid profiles, with the association being substantially related to males carrying minor alleles of the SNPs. None of the investigated SNPs were related to significant statin-related LDL-c lowering effects during statin therapy.ConclusionTo better understand inter-individual heterogeneity in lipid profiles during statin therapy, it would be helpful to take patient genetics and gender into consideration before and after administering statins.

The nutritional value and health properties of tahini and tahini-based products

Tahini is an oily paste made from mechanically hulled, roasted and ground sesame, which is used as an ingredient in many traditional Middle Eastern recipes. It is rich in MUFAs, PUFAs, polyphenols, minerals and vitamins. Literature about the health effects of tahini consumption is limited since only two studies in human population and one study in animal model are available, so far. A 6-week supplementation with 28 g tahini in T2DM patients led to lower TG and hs-CRP and higher HDL-C levels. Additionally, consumption of 50 g tahini decreased plasma glucose and increased total phenolic content, urinary 8-iso-prostaglandin F2a and flow-mediated dilatation in healthy individuals postprandially. Moreover, in 40 male albino rats of Wistar strain, sesame butter decreased glucose and malondialdehyde and increased HDL-C and total antioxidant capacity compared to control. Hummus is a dip or spread made from boiled chickpeas, blended with tahini, lemon juice, olive oil, garlic and salt. It is rich in vitamins, minerals and different bioactive compounds including phytic acid, tannins, carotenoids, sterols, and other polyphenols. Hummus consumption has been positively related with weight management and glucose-insulin response. Halva is a low-moisture confectionery that contains tahini, sugar, citric acid and Saponaria officinalis root extract and its consumption has been found to ameliorate glycemic control. In conclusion, tahini could be beneficial regarding diabetes-induced inflammation, oxidative stress and endothelial function. Since more research is needed in order to confirm the aforementioned properties, tahini and tahini-based products seem to be a healthy choice, aiming at promoting healthy dietary patterns.

Circulating lipids, lipid-lowering drug targets, and breast cancer risk: Comprehensive evidence from Mendelian randomization and summary data-based Mendelian randomization.

Breast cancer (BC) is the most common and fatal cancer among women, yet the causal relationship between circulating lipids, lipid-lowering drugs, and BC remains unclear. Mendelian randomization (MR) and summary data-based MR (SMR) analysis are used to explore the causal relationship between plasma lipids, lipid-lowering drug targets, and BC. The result of MR suggested that per mg/dL higher levels of LDL-C (OR = 1.045, FDR = 0.023), HDL-C (OR = 1.079, FDR = 0.003), TC (OR = 1.043, FDR = 0.026), and APOA-I (OR = 1.085, FDR = 2.64E-04) were associated with increased BC risk, while TG was associated with reduced BC risk (OR = 0.926, FDR = 0.003). Per mg/dL higher levels of HDL-C (OR = 1.080, FDR = 0.011) and APOA-I (OR = 1.083, FDR = 0.002) were associated with increased ER+BC risk, while TG was associated with reduced ER+BC risk (OR = 0.909, FDR = 0.002). For every per 1mg/dL decrease in LDL, HMGCR (OR: 0.839; FDR = 0.016), NPC1L1 (OR: 0.702; FDR = 0.004), and PCSK9 (OR: 0.916; FDR = 0.026) inhibition were associated with reduced BC risk, whereas CETP inhibition (OR: 1.194; FDR = 0.026) was associated with increased BC risk. For every per 1mg/dL decrease in LDL, HMGCR (OR: 0.822; FDR = 0.023), NPC1L1 (OR: 0.633; FDR = 2.37E-03), and APOB inhibition (OR: 0.816; FDR = 1.98E-03) were associated with decreased ER-BC risk, while CETP inhibition (OR: 1.465; FDR = 0.011) was associated with increased ER-BC risk. SMR analysis indicated that HMGCR was associated with increased BC risk (OR: 1.112; p = 0.044). Lipids are associated with the BC risk, and lipid-lowering drugs targets HMGCR, NPC1L1, PCSK9, and APOB may be effective strategies for preventing BC. However, lipid-lowering drugs target CETP may potentially increase BC risk.

Unraveling atherosclerotic cardiovascular disease risk factors through conditional probability analysis with Bayesian networks: insights from the AZAR cohort study

This study aimed at modelling the underlying predictor of ASCVD through the Bayesian network (BN). Data for the AZAR Cohort Study, which evaluated 500 healthcare providers in Iran, was collected through examinations, and blood samples. Two BNs were used to explore a suitable causal model for analysing the underlying predictor of ASCVD; Bayesian search through an algorithmic approach and knowledge-based BNs. Results showed significant differences in ASCVD risk factors across background variables’ levels. The diagnostic indices showed better performance for the knowledge-based BN (Area under ROC curve (AUC) = 0.78, Accuracy = 76.6, Sensitivity = 62.5, Negative predictive value (NPV) = 96.0, Negative Likelihood Ratio (LR−) = 0.48) compared to Bayesian search (AUC = 0.76, Accuracy = 72.4, Sensitivity = 17.5, NPV = 93.2, LR− = 0.83). In addition, we decided on knowledge-based BN because of the interpretability of the relationships. Based on this BN, being male (conditional probability = 63.7), age over 45 (36.3), overweight (51.5), Mets (23.8), diabetes (8.3), smoking (10.6), hypertension (12.1), high T-C (28.5), high LDL-C (23.9), FBS (12.1), and TG (25.9) levels were associated with higher ASCVD risk. Low and normal HDL-C levels also had higher ASCVD risk (35.3 and 37.4), while high HDL-C levels had lower risk (27.3). In conclusion, BN demonstrated that ASCVD was significantly associated with certain risk factors including being older and overweight male, having a history of Mets, diabetes, hypertension, having high levels of T-C, LDL-C, FBS, and TG, but Low and normal HDL-C and being a smoker. The study may provide valuable insights for developing effective prevention strategies for ASCVD in Iran.

Endothelial lipase variant T111I does not alter inhibition by angiopoietin-like proteins

High levels of HDL-C are correlated with a decreased risk of cardiovascular disease. HDL-C levels are modulated in part by the secreted phospholipase, endothelial lipase (EL), which hydrolyzes the phospholipids of HDL and decreases circulating HDL-C concentrations. A 584C/T polymorphism in LIPG, the gene which encodes EL, was first identified in individuals with increased HDL levels. This polymorphism results in a T111I point mutation the EL protein. The association between this variant, HDL levels, and the risk of coronary artery disease (CAD) in humans has been extensively studied, but the findings have been inconsistent. In this study, we took a biochemical approach, investigating how the T111I variant affected EL activity, structure, and stability. Moreover, we tested whether the T111I variant altered the inhibition of phospholipase activity by angiopoietin-like 3 (ANGPTL3) and angiopoietin-like 4 (ANGPTL4), two known EL inhibitors. We found that neither the stability nor enzymatic activity of EL was altered by the T111I variant. Moreover, we found no difference between wild-type and T111I EL in their ability to be inhibited by ANGPTL proteins. These data suggest that any effect this variant may have on HDL-C levels or cardiovascular disease are not mediated through alterations in these functions.

Polymorphisms of APOE and APOB genes and dyslipidemias in a South Brazilian Cohort

Dyslipidemias are closely associated to the development of cardiovascular and cerebrovascular diseases, and therefore of great importance in public health. Many genes influence lipid levels, such as APOE and APOB. The present study aimed to investigate the effects of APOE gene alleles (rs7412: C&gt;T and rs429358: T&gt;C), and R3500Q mutation of APOB gene (rs5742904: G&gt;A) in lipid levels in a South Brazilian cohort. 214 individuals were analyzed and the frequencies of APOE ε2, ε3 and ε4 alleles were found respectively as 9.25 ± 0.4625; 70.5 ± 3.525 and 20.25%± 1.401, while the frequency of R3500Q mutation of the APOB gene was 4.46 ± 1.00%. The ε4 allele was significantly more frequent in subjects with higher TC (Total Cholesterol) and LDL-C levels, while significantly higher frequency of the ε2 allele was found in individuals with higher HDL-C levels. The R3500Q mutation was suggested as a risk factor for higher TC levels, regardless gender and age (β = 21.326 ± 10377.78, p = 0.001).