Early and short-term use of proprotein convertase anti-subtilisin-kexin type 9 inhibitors on coronary plaque stability in acute coronary syndrome.

Aims: Proprotein convertase anti-subtilisin-kexin type 9 inhibitors (PCSK9Is) improve plaque volume and composition and reduce major adverse coronary events in chronic coronary artery disease. We evaluated the effects of the short-term use of PCSK9Is on coronary plaque stability in patients with acute coronary syndrome (ACS) using optical coherence tomography (OCT). Methods and results: This is a multicentre, open-label randomized controlled trial. The enrolled 80 subjects met the inclusion criteria. Of these, 52 patients (age 60 ± 11 years, 38 men, 14 women) with ST-elevated ACS had undergone successful primary percutaneous coronary intervention with LDL-cholesterol (LDL-C) levels > 70 mg/dL while receiving high-intensity statins. Participants were randomly assigned to the PCSK9I group (evolocumab 420 mg for 3 months, n = 29) or the standard of care (SoC) group (n = 23). Optical coherence tomography was performed at baseline (BL) and 3 and 9 months after randomization to assess lipid-rich plaques in non-culprit lesions. The change in the minimum fibrous cap thickness (MFCT) from BL to 9 months was the primary endpoint. The percentage change in LDL-C levels from BL to 3 months was significantly greater in the PCSK9I group (-67.8 ± 21.5% in the PCSK9I group vs. -16.3 ± 21.8% in the SoC group; P < 0.0001), and the difference between the two groups disappeared from BL to 9 months (-20.0 ± 37.8% in the PCSK9I group vs. -6.7 ± 34.2% in the SoC group; P = 0.20). The changes in MFCT from BL to 9 months were significantly greater in the PCSK9I group, even after PCSK9I discontinuation {100 µm [interquartile range (IQR): 45-180 µm] vs. 50 µm [IQR: 0-110 µm]; P = 0.032}. Conclusion: Combination treatment with PCSK9Is and statins resulted in more marked plaque stabilization after ACS than SoC alone, and this effect persisted for 6 months after PCSK9I discontinuation. Registration: Adage-Joto study, UMIN ID No. 26516.

Influence of the COVID-19 pandemic on the achievement of guideline targets for HbA1c, blood pressure, and LDL cholesterol in people with diabetes in Japan.

Objective: In this study, we investigated whether the COVID-19 pandemic affected achievement of guideline targets for HbA1c, blood pressure (BP), and low-density lipoprotein (LDL) cholesterol in people with diabetes mellitus (DM). Materials and methods: Data for 556 people with DM who were treated regularly for 4 years before and during the COVID-19 pandemic in Japan were analyzed in this retrospective study. Achieved targets were defined as HbA1c < 7.0%, BP < 130/80 mmHg, and LDL cholesterol < 100 or < 120 mg/dL depending on the presence or absence of coronary artery disease. Results: In 2019, before the start of the COVID-19 pandemic, achievement rates of guideline targets for HbA1c, BP and LDL cholesterol were 53.4%, 45.9% and 75.7%, respectively. In 2020, the achievement rates for HbA1c and BP targets were significantly decreased to 40.8% and 31.3%, respectively. The achievement rates for the HbA1c target gradually recovered to 49.3% in 2021 and to 51.1% in 2022. However, recovery in achieving the BP target was slow, remaining at 40.5% even in 2022. On the other hand, the achievement rate for the LDL cholesterol target was not affected and remained relatively high during the COVID-19 pandemic. Conclusions: The rates of achieving therapeutic targets for HbA1c and BP have not been high enough in people with DM, and the rates were further reduced by lifestyle changes due to the COVID-19 pandemic. Although there has been a trend toward improvement with the lifting of behavioral restrictions, more intensified treatment is necessary to achieve good control. Supplementary Information: The online version contains supplementary material available at 10.1007/s13340-024-00715-8.

Variation of LDL-cholesterol in response to the replacement of saturated with unsaturated fatty acids: a non-randomised, sequential dietary intervention study (RISSCI-1).

BACKGROUND: Serum LDL-cholesterol (LDL-C) shows marked inter-individual variation in response to replacement of saturated fatty acids (SFA) with unsaturated fatty acids (UFA). OBJECTIVE: To demonstrate the efficacy of UK guidelines for exchanging dietary SFA for UFA, to reduce serum LDL-C and other CVD risk factors, and to identify determinants of the variability in LDL-C response. METHODS: Healthy males (n=109, mean±SD age 48±11 years BMI 25.1±3.3 kg/m2), consumed a higher-SFA/lower-UFA diet for 4-weeks, followed by an isoenergetic, lower-SFA/higher-UFA diet for 4-weeks (achieved intakes SFA:UFA, 19.1:14.8 and 8.9:24.5% total energy respectively). Serum LDL-C, CVD risk markers, peripheral blood mononuclear cell (PBMC) gene expression, and dietary intakes were assessed at baseline and the end of each diet. RESULTS: Transition from a higher-SFA/lower-UFA to a lower-SFA/higher-UFA diet significantly reduced fasting blood lipids [LDL-C (-0.50 mmol/L; 95%CI:-0.58,-0.42), HDL-C (-0.11 mmol/L; 95%CI:-0.14,-0.08) and total cholesterol (-0.65 mmol/L; 95%CI:-0.75,-0.55)]. The dietary exchange also reduced apolipoprotein (apo)B, TC:HDL-C ratio, non-HDL-C, E-selectin (P<0.0001) and LDL subfraction composition [cholesterol (LDL-I and LDL-II), apoB100 (LDL-I and LDL-II), and TAG (LDL-II)] (P<0.01). There was also an increase in plasma biomarkers of cholesterol intestinal absorption (ß-sitosterol, campesterol, cholestanol), and synthesis (desmosterol) (P<0.0001) and fold change in PBMC LDL-receptor mRNA expression relative to the higher-SFA/lower-UFA diet (P=0.035). Marked inter-individual variation in the change in serum LDL-C response (-1.39 to +0.77 mmol/L) to this dietary exchange was observed, with 33.7% of this variation explained by serum LDL-C before the lower-SFA/higher-UFA diet and reduction in dietary SFA intake (adjusted R2 27% and 6.7%, respectively). APOE genotype was unrelated to serum LDL-C response to SFA. CONCLUSIONS: These findings support the efficacy of UK SFA dietary guidelines for the overall lowering of serum LDL-C, but showed marked variation in LDL-C response. Further identification of the determinants of this variation will facilitate targeting and increasing efficacy of these guidelines. CLINICAL TRIAL REGISTRY: The RISSCI-1 study was registered with ClinicalTrials.Gov (No. NCT03270527).

Choosing the right equation for calculating indirect LDL-Cholesterol (LDL-C) in adult Pakistani population: Evaluation of seven equations using big data analytics.

Objective: Cardiovascular diseases (CVDs) are a leading cause of mortality worldwide. Low density lipoprotein cholesterol (LDL-C) contributes to the atherogenic process. However, direct LDL-C (d-LDL) has rarely been estimated by the gold standard method because it is cumbersome and expensive. We aim to evaluate calculated low density lipoprotein (LDL-c) by various equations with reference to directly measured LDL-C in the Pakistani adult population as a cost-effective alternative. Methods: We retrospectively evaluated the validity of seven equations for estimating calculated LDL-C by computing correlation coefficients (r) and Bland Altman plots to assess agreement (mean %) for (d-LDL) and calculated (LDL-c) on all seven equations. Statistical analysis was performed in Stata Statistical Software: Release 17, College Station, TX: StataCorp LLC. Results: We analyzed 247082 direct assays of lipid profiles of adults aged ≥18 years. The mean LDL-C levels computed on Friedewald, de Cordova, Chen, Hattori, Vujovic, Teerakanchana, Sampson equations were 106.8 ± 31.4, 103.7 ± 25.0, 108.6 ± 28.2, 100.1 ± 29.5, 115.2 ± 31.2, 113.1 ± 28.3 and 110.3 ± 30.6 respectively. Friedewald and Hattori equations correlated strongly with direct LDL-C (r = 0.937) for each followed by Sampson (r = 0.935) and Vujovic (r = 0.931). However, the median bias was least for the Friedwald equation (-1.6) compared to the other equations. Conclusion: In contrast to the global literature advocating for the use of newer equations, although the conventional and widely utilized Friedewald equation remains the best alternative for calculated LDL-C estimation in adult Pakistani population.

Influence of Dapagliflozin Dosing on Low-Density Lipoprotein Cholesterol in Type 2 Diabetes Mellitus: A Systematic Literature Review and Meta-Analysis.

A systematic literature review and meta-analysis was performed to evaluate the effects of dapagliflozin on low-density lipoprotein (LDL) cholesterol in type 2 diabetes mellitus. Data on changes in LDL cholesterol, adverse cardiac events (ACEs), glycated hemoglobin (HbA1c), and fasting blood glucose (FBG) were pooled in a meta-analysis. Data from dose comparison trials were separately pooled, and meta-analysis was conducted by using RevMan (5.4.1) and R (4.1.2). Dapagliflozin increased LDL cholesterol by 2.33 mg/dL (95% CI, 1.46 to 3.19; I2 = 0%; P < .00001), increased risk of ACEs by 1.56 (95% CI, 1.02 to 2.39; I2 = 0%; P < .04), decreased HbA1c by -0.41% (95% CI, -0.44 to -0.39; I2 = 85%; P < .00001), and decreased FBG by -13.51 mg/dL (95% CI, -14.43 to -12.59; I2 = 92%; P < .00001) versus any placebo or active comparator. Dapagliflozin 10 mg monotherapy increased LDL cholesterol by 1.71 mg/dL (95% CI, -1.20 to 4.62; I2 = 53%; P = .25) versus a 5 mg dose and by 1.04 mg/dL (95% CI, -1.17 to 3.26; I2 = 62%; P = .36) versus a 2.5 mg dose. Dapagliflozin 10 mg monotherapy increased LDL cholesterol by 3.13 mg/dL (95% CI, 1.31 to 4.95; I2 = 0%; P = .0008), increased the risk of ACEs by 1.26 (95% CI, 0.56 to 2.87; I2 = 0%; P = .58), decreased HbA1c by -0.4% (95% CI, -0.45 to -0.35; I2 = 89%; P < .00001), and decreased FBG by -8.39 mg/dL (95% CI, -10 to -6.77; I2 = 96%; P < .00001) versus a placebo or active comparator. Dapagliflozin monotherapy resulted in a minimal but statistically significantly (P = .0002) increase in LDL cholesterol. However, this minor change does not increase the risk of ACEs (P = .17) when compared with placebo or active comparator.

Expression of pro- and anti-inflammatory cytokines during anti-proprotein convertase subtilisin/kexin type 9 therapy in patients with statin-resistant familial hypercholesterolemia.

Background: Some clinical dyslipidemia cases do not respond to statins, known as statin-resistant familial hypercholesterolemia (SR-FH), in which patients are under a high cardiovascular risk despite statin therapy. Therefore, novel therapeutic alternatives are required. Proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) reduce cholesterol levels and cardiovascular disease risk, particularly in patients with SR-FH, where PCSK9i may differentially affect pro- and anti-inflammatory mediators depending on the clinical setting. Aim: To evaluate the effect of PCSK9i treatment on pro- and anti-inflammatory cytokines in patients with SR-FH. Methods: Before-after comparison, quasi-experimental, single-center study in patients with SR-FH. Blood samples were processed to obtain complete blood counts of glycated hemoglobin and serum lipid levels. Flow cytometry was performed to characterize baseline circulating M1- and M2-macrophages and monocytes. Multiplexing of plasma samples was used to compare plasma fraktaline, interleukins (ILs), monocyte chemoattractant protein-1 (MCP-1), and tumor necrosis factor (TNF)-alpha. The endpoints were lower serum lipid levels and pro-inflammatory mediator modification. Results: Twenty patients with SR-FH, aged 58 years and most of them males, were included, with a mean body-mass index of 26.4 and showing ischemic heart disease and similar values of baseline M1- and M2-macrophages and monocytes. Six-month iPSCK-9 therapy considerably reduced LDLc, increased anti-inflammatory cytokine (IL-4), and modified pro-inflammatory cytokine (TNF-alpha and MCP-1) levels. No notable effects were observed for the other markers. Conclusion: PCSK9i therapy exerted subclinical anti-inflammatory and anti-atherogenic effects, indicating potential benefits for clinical outcomes.

Association between blood lipid levels in early pregnancy and urinary organophosphate metabolites in the Japan Environment and Children's Study.

BACKGROUND: High low-density lipoprotein cholesterol levels (LDL-C) during pregnancy have been associated with adverse pregnancy and offspring outcomes. While previous studies have suggested a potential link between organophosphate pesticide (OPP) exposure and higher LDL-C in the general population and agricultural workers, the relationship in pregnant women and the effect of body mass index on this relationship remain unclear. We examined the association between the urinary concentrations of OPP metabolites (dialkylphosphates) and blood lipid levels in pregnant women. METHODS: We used data from the Japan Environment and Children's Study, which included 5,169 pregnant women with urinary dialkylphosphate data. We examined the association between urinary concentrations of six dialkylphosphates (DEP, DETP, DEDTP, DMP, DMTP, DMDTP) and blood lipid levels (LDL-C, total cholesterol, high-density lipoprotein cholesterol, and triglycerides) during the first trimester using multiple linear regression under a Bayesian paradigm. We examined the association between high LDL-C, defined as ≥90th percentile of LDL-C, and urinary dialkylphosphate concentrations, using multiple logistic regression under a Bayesian paradigm. These analyses were repeated in underweight, normal-weight, and overweight participants. RESULTS: DEP, DMP, and DMTP were detected in >50 % of the participants. Multiple linear regression analyses did not show associations between LDL-C and these dialkylphosphates. Stratified analyses showed a positive association between DEP and LDL-C in overweight women (beta coefficient = 2.13, 95 % credible interval = 0.86-3.38, probability of direction (PD) = 100 %); however, the association was not significant (percentage in region of practical equivalence (% in ROPE) = 84.0). Higher DEP was significantly associated with high LDL-C (odds ratio = 1.32, 95 % credible interval = 1.13-1.55, PD = 100 %, % in ROPE = 0.2). CONCLUSIONS: Among overweight pregnant women in the first trimester, higher urinary DEP concentrations were associated with high LDL-C. The effects of OPP on blood lipid profiles merit further investigation.

Spurious dyslipidemia due to paraprotein in a patient with Waldenström macroglobulinemia.

INTRODUCTION: Serum lipid profiles play a crucial role in diagnosing and evaluating cardiovascular diseases. However, the presence of paraprotein can lead to inaccurate dyslipidemia results on automated analyzers. CASE REPORT: A 65-year-old woman whose combined concentrations of HDL-cholesterol (HDL-C) and LDL-cholesterol (LDL-C) consistently surpassed her total serum cholesterol levels over a period of three months presented with unusual lipid component detection. Further analysis revealed the presence of a monoclonal paraprotein, identified as an IgMλ band, with a concentration of 28.0 g/L. The patient was subsequently diagnosed with Waldenström macroglobulinemia. The use of abnormal reaction kinetic curves and the ß quantification method, along with an alternative method that did not suffer from interference, revealed that the monoclonal paraprotein interfered with the measurements of HDL-C, LDL-C, apolipoprotein A-I (apoA-I), and apolipoprotein B (apoB) when using the Roche detection system. This interference led to spurious elevated HDL-C concentrations and falsely decreased apoA-I and apoB concentrations, while the LDL-C results were minimally affected. Although diluting the sample normalized the HDL-C and LDL-C measurements, the interference with the apoA-I and apoB assays persisted. No other common biochemical tests were interfered with this paraprotein. CONCLUSION: Caution is advised when using a homogenous method for direct measurement of HDL-C and LDL-C in patients with monoclonal paraprotein. Techniques to recognize and eliminate this interference are available. However, immunoturbidimetric detection of apoA-I and apoB levels is also susceptible to this interference, which is not readily removable.

Ferritin-based disruptor nanoparticles: A novel strategy to enhance LDL cholesterol clearance via multivalent inhibition of PCSK9-LDL receptor interaction.

Hypercholesterolemia, characterized by elevated low-density lipoprotein (LDL) cholesterol levels, is a significant risk factor for cardiovascular disease. Proprotein convertase subtilisin/kexin type 9 (PCSK9) plays a crucial role in cholesterol metabolism by regulating LDL receptor degradation, making it a therapeutic target for mitigating hypercholesterolemia-associated risks. In this context, we aimed to engineer human H ferritin as a scaffold to present 24 copies of a PCSK9-targeting domain. The rationale behind this protein nanoparticle design was to disrupt the PCSK9-LDL receptor interaction, thereby attenuating the PCSK9-mediated impairment of LDL cholesterol clearance. The N-terminal sequence of human H ferritin was engineered to incorporate a 13-amino acid linear peptide (Pep2-8), which was previously identified as the smallest PCSK9 inhibitor. Exploiting the quaternary structure of ferritin, engineered nanoparticles were designed to display 24 copies of the targeting peptide on their surface, enabling a multivalent binding effect. Extensive biochemical characterization confirmed precise control over nanoparticle size and morphology, alongside robust PCSK9-binding affinity (KD in the high picomolar range). Subsequent efficacy assessments employing the HepG2 liver cell line demonstrated the ability of engineered ferritin's ability to disrupt PCSK9-LDL receptor interaction, thereby promoting LDL receptor recycling on cell surfaces and consequently enhancing LDL uptake. Our findings highlight the potential of ferritin-based platforms as versatile tools for targeting PCSK9 in the management of hypercholesterolemia. This study not only contributes to the advancement of ferritin-based therapeutics but also offers valuable insights into novel strategies for treating cardiovascular diseases.

Multi-biobank Mendelian randomization analyses identify opposing pathways in plasma low-density lipoprotein-cholesterol lowering and gallstone disease.

Plasma low-density lipoprotein (LDL)-cholesterol is positively associated with coronary artery disease risk while biliary cholesterol promotes gallstone formation. Different plasma LDL-cholesterol lowering pathways may have distinct effects on biliary cholesterol and thereby gallstone disease risk. We conducted a Mendelian randomization (MR) study using data from the UK Biobank (30,547 gallstone disease cases/336,742 controls), FinnGen (34,461 cases/301,383 controls) and Biobank Japan (9,305 cases/168,253 controls). We first performed drug-target MR analyses substantiated by colocalization to investigate the effects of plasma LDL-cholesterol lowering therapies on gallstone disease risk. We then performed clustered MR analyses and pathway analyses to identify distinct mechanisms underlying the association of plasma LDL-cholesterol with gallstone disease risk. For a 1-standard deviation reduction in plasma LDL-cholesterol, genetic mimics of statins were associated with lower gallstone disease risk (odds ratio 0.72 [95% confidence interval 0.62, 0.83]), but genetic mimics of PCSK9 inhibitors and targeting apolipoprotein B were associated with higher risk (1.11 [1.03, 1.19] and 1.23 [1.13, 1.35]). The association for statins was supported by colocalization (posterior probability 98.7%). Clustered MR analyses identified variant clusters showing opposing associations of plasma LDL-cholesterol with gallstone disease risk, with some evidence for ancestry-and sex-specific associations. Among variants lowering plasma LDL-cholesterol, those associated with lower gallstone disease risk were mapped to glycosphingolipid biosynthesis pathway, while those associated with higher risk were mapped to pathways relating to plasma lipoprotein assembly, remodelling, and clearance and ATP-binding cassette transporters. This MR study provides genetic evidence that different plasma LDL-cholesterol lowering pathways have opposing effects on gallstone disease risk.

Lipoprotein(a)'s Role in Atherosclerosis and Aortic Stenosis: A Contemporary Literature Review.

Lipoprotein(a), or Lp(a), is a distinctive lipoprotein particle linked to various cardiovascular diseases, notably atherosclerosis and aortic stenosis. Much like plasminogen, Lp(a) hinders normal fibrinolysis, leading to increased thrombosis and slower clearance of fibrin debris. It also causes inflammation, oxidative stress, and endothelial dysfunction, contributing to the formation of atherosclerotic lesions. Epidemiological studies have consistently shown that even slight increases in Lp(a) levels correlate with a heightened risk of cardiovascular events. Furthermore, Lp(a) plays a role in aortic stenosis by binding to leaflet valves, accumulating within them, and triggering calcium deposition and nodule formation. These calcium deposits gradually narrow the arteries, impeding blood flow. By raising inflammation and oxidative stress in the valve, Lp(a) accelerates tissue damage and calcium deposition. Traditional lipid-lowering therapies have limited efficacy in reducing Lp(a) levels. However, new treatments using RNA interference and antisense oligonucleotides to decrease Lp(a) production in the liver offer promising prospects for mitigating the risks and managing atherosclerosis and aortic stenosis associated with high Lp(a) levels. As Lp(a) screening becomes more common in healthcare, physicians will be better equipped to assess patients' risk levels and provide tailored treatments. This review aims to examine the role of Lp(a) in the development of aortic stenosis and atherosclerosis.

Risk of Cardiovascular Events in Metabolically Healthy Overweight or Obese Adults: Role of LDL-Cholesterol in the Stratification of Risk.

The objective of this study was to investigate the longitudinal association of metabolically healthy overweight/obese adults with major adverse cardiovascular events (MACE) and the effect of LDL-cholesterol levels on this association. This study was conducted with 15,904 participants from the URRAH study grouped according to BMI and metabolic status. Healthy metabolic status was identified with and without including LDL-cholesterol. The risk of MACE during 11.8 years of follow-up was evaluated with multivariable Cox regressions. Among the participants aged <70 years, high BMI was associated with an increased risk of MACE, whereas among the older subjects it was associated with lower risk. Compared to the group with normal weight/healthy metabolic status, the metabolically healthy participants aged <70 years who were overweight/obese had an increased risk of MACE with an adjusted hazard ratio of 3.81 (95% CI, 1.34-10.85, p = 0.012). However, when LDL-cholesterol < 130 mg/dL was included in the definition of healthy metabolic status, no increase in risk was found in the overweight/obese adults compared to the normal weight individuals (hazard ratio 0.70 (0.07-6.71, p = 0.75). The present data show that the risk of MACE is increased in metabolically healthy overweight/obese individuals identified according to standard criteria. However, when LDL-cholesterol is included in the definition, metabolically healthy individuals who are overweight/obese have no increase in risk.

Biochemical and Anthropometric Outcomes in Paediatric Patients with Heterozygous Familial Hypercholesterolemia after COVID-19 Pandemic Lockdowns: An Exploratory Analysis.

The COVID-19 pandemic lockdowns affected the lifestyles of children and adolescents, leading to an increase in childhood obesity. Paediatric patients with familial hypercholesterolemia (FH) may be more susceptible to lockdown effects due to their increased cardiovascular risk. However, data are lacking. We investigated the effect of lockdowns on the metabolic profile of paediatric patients with FH. Blood lipids and anthropometry measured in September 2021-April 2022 were retrospectively compared with pre-pandemic values. Thirty participants were included (1-16 years; 57% female). From baseline to post-pandemic, median [P25, P75] blood LDL-C concentration was 125 [112, 150] mg/dL vs. 125 [100, 147] mg/dL (p = 0.894); HDL-C was 58 [52, 65] mg/dL vs. 56 [51, 61] mg/dL (p = 0.107); triglycerides were 64 [44, 86] mg/dL vs. 59 [42, 86] mg/dL (p = 0.178). The BMI z-score did not change significantly (0.19 [-0.58, 0.89] vs. 0.30 [-0.48, 1.10], p = 0.524). The lack of deterioration in metabolic profiles during lockdowns is positive, as some deterioration was expected. We speculate that patients and caregivers were successfully educated about healthy lifestyle and dietary habits. Our results should be interpreted with caution since the study sample was small and heterogeneous. Multicentre research is needed to better understand the impact of lockdowns on this population.

Assessment of serum proprotein convertase subtilisin/kexin type 9 in pediatric sepsis syndrome.

Sepsis is a life-threatening condition that arises when the body's response to infection causes injury to its tissues and organs. Proprotein convertase subtilisin/kexin type 9 (PCSK9) is an enzyme released in response to the drop in cholesterol level occurring in sepsis. Our study aimed to evaluate the prognostic role of serum Proprotein convertase subtilisin/kexin type 9 (PCSK9) level in children with sepsis and severe sepsis. Sixty children were included in this study. They were divided into two groups: 30 children in the sepsis group and 30 in the severe sepsis group. Another 30 apparently healthy children were included as a control group. Blood samples were withdrawn from all included children for complete blood count (CBC), renal function tests (RFT), liver function tests (LFT), LDL-cholesterol (LDL-C), blood culture, and serum PCSK9. In this study, PCSK9 and LDL-C were higher in the two sepsis groups than in the control group (p < 0.05). They were also higher in the severe sepsis group than the sepsis group and in the non-survivors than in the survivors (p < 0.05). PCSK9 was positively correlated with length of hospital stay in surviving children (r = 0.67, p = 0.001) and had predicted significant hematological dysfunction (adjusted B = - 96.95, p = 0.03). In conclusion, the PCSK9 assay can be used as a biomarker for bad prognosis in children suffering from clinical sepsis.

Explainable artificial intelligence for LDL cholesterol prediction and classification.

INTRODUCTION: Monitoring LDL-C levels is essential in clinical practice because there is a direct relation between low-density lipoprotein cholesterol (LDL-C) levels and atherosclerotic heart disease risk. Therefore, measurement or estimate of LDL-C is critical. The present study aims to evaluate Artificial Intelligence (AI) and Explainable AI (XAI) methodologies in predicting LDL-C levels while emphasizing the interpretability of these predictions. MATERIALS AND METHODS: We retrospectively reviewed data from the Laboratory Information System (LIS) of Ankara Etlik City Hospital (AECH). We included 60.217 patients with standard lipid profiles (total cholesterol [TC], high-density lipoprotein cholesterol, and triglycerides) paired with same-day direct LDL-C results. AI methodologies, such as Gradient Boosting (GB), Random Forests (RF), Support Vector Machines (SVM), and Decision Trees (DT), were used to predict LDL-C and compared directly measured and calculated LDL-C with formulas. XAI techniques such as Shapley additive annotation (SHAP) and locally interpretable model-agnostic explanation (LIME) were used to interpret AI models and improve their explainability. RESULTS: Predicted LDL-C values using AI, especially RF or GB, showed a stronger correlation with direct measurement LDL-C values than calculated LDL-C values with formulas. TC was shown to be the most influential factor in LDL-C prediction using SHAP and LIME. The agreement between the treatment groups based on NCEP ATPIII guidelines according to measured LDL-C and the LDL-C groups obtained with AI was higher than that obtained with formulas. CONCLUSIONS: It can be concluded that AI is not only a reliable method but also an explainable method for LDL-C estimation and classification.

Association between Serum Lipids and Asthma in Adults-A Systematic Review.

(1) Background: Asthma is a syndrome found in both adults and children, characterized by airflow obstruction caused by the inflammation of the airways. In recent years, an increasing number of studies have found that lipid metabolism influences both the development and symptomatology of asthma. Lipid metabolism plays an important role both in the occurrence of exacerbations and in the reduction of lung inflammation. Our study aimed to identify any type of association between patients diagnosed with asthma and their serum lipids, including HDL-cholesterol, LDL-cholesterol, total cholesterol, and triglycerides in adults. (2) Methods: To find articles for our review, we searched two platforms: PubMed and Google Scholar. A total of 309 articles from two platforms were analyzed. Finally, 12 papers were selected from the initial pool of identified articles. (3) Results: The positive correlation between triglycerides, total cholesterol, low-density lipoprotein-cholesterol (LDL-cholesterol), and asthma has been demonstrated in several studies. Moreover, it appears that there is an association between biomarkers of type 2 inflammation and HDL and serum triglycerides in people with atopic status. Regarding the nutrition of asthmatic patients, the greatest impact on the development of the disease seems to be the consumption of fruit and vegetables. Several studies show that a predominantly vegan diet is associated with better control of the disease and a decrease in the number of pro-inflammatory cytokines. (4) Conclusions: Studies show a positive correlation between total cholesterol, triglyceride, and LDL-cholesterol levels and asthma and a negative correlation between HDL-cholesterol and asthma. Increased cholesterol values would lead to the stimulation of pro-inflammatory processes and the secretion of cytokines involved in these processes. The most successful diets for asthma patients seem to be those in which the consumption of fruit, vegetables, and high-fiber foods is increased because all of these food groups are rich in vitamins, antioxidants, and minerals.

Relationship Between LDL-Cholesterol, Small and Dense LDL Particles, and mRNA Expression in a Cohort of African Americans.

Understanding the characteristics and behavior of LDL particles provides insights into the atherogenic risk of high levels of LDL cholesterol (LDL-C) in hypercholesterolemia. Studying LDL particles helps identify specific LDL subtypes (e.g., small and dense LDL particles, sdLDL) that may be atherogenic and, consequently, potential targets for therapeutics. This study cohort consists of African Americans (AAs), a population disproportionately affected by hypercholesterolemia, thereby accentuating the importance of the investigation.Differential expression (DE) analysis was undertaken utilizing a dataset comprising 17,947 protein-coding mRNAs from the whole-blood transcriptomes of 416 samples to identify mRNAs associated with LDL-C and sdLDL. Subsequently, mediation analyses were used to investigate the mediating role of sdLDL particles on the relationship between LDL-C and mRNA expression. Finally, pathway enrichment analysis was conducted to identify pathways involving mRNAs whose relationship with LDL-C is mediated by sdLDL.DE analysis revealed 1048 and 284 mRNA transcripts differentially expressed by LDL-C and sdLDL, respectively. Mediation analysis revealed that the associations between LDL-C and 33 mRNAs were mediated by sdLDL. Pathway analysis showed the 33 mRNAs are involved in pathways associated with immune system, inflammatory response, metabolism, and cardiovascular disease (CVD) risk.Our study provides valuable insights into the complex interplay between LDL-C, sdLDL and mRNA expression in a large sample of AAs. The results underscore the importance of incorporating sdLDL measurement alongside LDL-C levels to improve the accuracy of managing hypercholesterolemia and effectively stratify the risk of CVD. This is essential as differences in sdLDL modulate atherogenic properties at the transcriptome level.

Prevalence and Clinical Characteristics of Familial Hypercholesterolemia in Patients with Acute Coronary Syndrome according to the Current Japanese Guidelines: Insight from the EXPLORE-J study.

AIMS: Little data exists for evaluating the prevalence and patient characteristics of familial hypercholesterolemia (FH) according to the latest 2022 guidelines for FH published by the Japan Atherosclerosis Society (JAS), which revised the Achilles tendon thickness (ATT) threshold from 9.0 mm in both sexes to 8.0 mm in men and 7.5 mm in women. This study used a nationwide registry of patients with acute coronary syndrome (ACS) to evaluate the prevalence of FH according to the latest diagnostic criteria for FH and to investigate the application of Achilles tendon imaging in the diagnosis of FH.A previous prospective observational study at 59 Japanese centers involving consecutive patients with ACS who were managed between April 2015 and August 8, 2016 was conducted to explore lipid management and persistent risk in patients hospitalized for ACS (EXPLORE-J). The study population consisted of 1,944 EXPLORE-J enrollees. RESULTS: According to the diagnostic criteria for FH in the 2022 JAS guidelines, the prevalence of probable or definite was among patients with ACS was 6.6% (127/1944). Among patients with premature ACS (male, age ＜55 years; female, age ＜65 years), the prevalence of FH was 10.1% (43/427). The mean ages were of the probable FH and definite FH groups were 59.9 and 61.0 years, respectively, while the mean age of the possible-or-unlikely FH group was 66.4 years (significantly older). Relative to the possible-or-unlikely FH group, the low-density lipoprotein cholesterol (LDL-C) levels were similar in the probable FH group and and significantly higher in the definite FH group. CONCLUSIONS: The prevalence of FH was considerably higher than previously reported, especially for patients with premature ACS. The age and LDL-C levels of the patients in the probable FH and definite FH groups were similar.