ArticleJournal of clinical laboratory analysis2021
Serum HDL cholesterol uptake capacity in subjects from the MASHAD cohort study: Its value in determining the risk of cardiovascular endpoints.
Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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21 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- HDL-cholesterol concentration and its association with coronary artery calcification: a systematic review and meta-analysis.Lipids in health and disease · 2023Pooled it
- The impacts of Crocin on serum cytokines concentrations in participants with metabolic syndrome: a double-blind randomized clinical trial study.Scientific reports · 2025Trial
- A machine learning-based framework for predicting hypertension using serum hematological factors.Scientific reports · 2026Article
- Serum Zinc and Copper Concentrations and Dyslipidemia as Risk Factors of Cardiovascular Disease in Adults: Data Mining Techniques.Biological trace element research · 2025Article
- Predictive properties of novel anthropometric and biochemical indexes for prediction of cardiovascular risk.Diabetology & metabolic syndrome · 2024Article
- Evaluating the Association of Anthropometric Indices With Total Cholesterol in a Large Population Using Data Mining Algorithms.Journal of clinical laboratory analysis · 2024Article
- The relationship between anthropometric indices and the presence of hypertension in an Iranian population sample using data mining algorithms.Journal of human hypertension · 2024Article
- Association between Genetic Variants Linked to Premature Ovarian Insufficiency and Inflammatory Markers: A Cross-Sectional Study.International journal of fertility & sterility · 2024Article
- White blood cell and platelet distribution widths are associated with hypertension: data mining approaches.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Article
- Hematological Indices and Genetic Variants of Premature Ovarian Insufficiency: Machine Learning Approaches.Cardiovascular & hematological disorders drug targets · 2024Article
- Physical performance strongly predicts all-cause mortality risk in a real-world population of older diabetic patients: machine learning approach for mortality risk stratification.Frontiers in endocrinology · 2024Article
- Association between biochemical and hematologic factors with COVID-19 using data mining methods.BMC infectious diseases · 2023Article
- Serum uric acid to high-density lipoprotein ratio as a novel indicator of inflammation is correlated with the presence and severity of metabolic syndrome: A large-scale study.Endocrinology, diabetes & metabolism · 2023Article
- Non-HDL cholesterol and long-term follow-up outcomes in patients with metabolic syndrome.Lipids in health and disease · 2023Article
- Association between the rs2241883 polymorphism of the fatty acid-binding protein-1 (FABP1) gene and obesity in a population of MASHAD study cohort.Molecular genetics & genomic medicine · 2023Article
- Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2.BMC pulmonary medicine · 2023Article
- Development of Data Mining Algorithms for Identifying the Best Anthropometric Predictors for Cardiovascular Disease: MASHAD Cohort Study.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2023Article
- Evaluation of rs1748195 ANGPTL3 gene polymorphism in patients with angiographic coronary artery disease compared to healthy individuals.Molecular genetics & genomic medicine · 2023Article
- Prediction of type 2 diabetes mellitus using hematological factors based on machine learning approaches: a cohort study analysis.Scientific reports · 2023Article
- Data mining approaches for type 2 diabetes mellitus prediction using anthropometric measurements.Journal of clinical laboratory analysis · 2023Article
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundThe efficiency of high-density lipoprotein (HDL) to efflux cholesterol contributes to the reverse cholesterol transport (RCT) pathway as one of HDL's proposed functions and depends on the ability of HDL to uptake cholesterol. We aimed to investigate cholesterol uptake capacity (CUC) by a newly developed assay in samples from the MASHAD (Mashhad Stroke and Heart Atherosclerotic Disorders) cohort study.
methodThe study population comprised 153 individuals developed CVD diagnosed by a specialist cardiologist, over 6 years of follow-up, and 350 subjects without CVD. We used a modified CUC method to evaluate the functionality of HDL in serum samples.
resultThe CUC assay was highly reproducible with values for inter- and intra-assay variation of 13.07 and 6.65, respectively. The mean serum CUC was significantly lower in the CVD group compared to control (p = 0.01). Although, there were no significant differences in serum HDL-C between the groups and there was no significantly association with risk of progressive CVD. Multivariate logistic regression analysis showed that there was a significantly negative association between CUC and risk of CVD after adjustment for confounding parameters (OR = 0.57, 95% CI = 0.38-0.87, p = 0.009). The CUC was also inversely and independently associated with the risk of CVD event using Cox proportional hazards models analysis (HR = 0.62; 95% CI = 0.41-0.94, p = 0.02). We determined the optimum cutoff value of 1.7 a.u for CUC in the population. Furthermore, the CUC value was important in determining the CVD risk stratification derived from data mining analysis.
conclusionsReduced HDL functionality, as measured by CUC, appears to predict CVD in population sample from north-eastern Iran.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.