There is a predominance of small and dense LDL cholesterol particles in familial combined hyperlipidemia (FCH). The lipoprotein lipase gene could exert an influence in these circumstances.To study the relationship of pattern B LDL and lipids with N291S polymorphism of lipoprotein lipase (LPL) in FCH patients.Lipid profile, apolipoproteins, diameter of LDL and N291S polymorphism were determined in 93 patients with FCH and 286 individuals from the general population.FCH patients with N291S polymorphism showed a lower mean diameter of LDL. FCH patients with pattern B LDL showed higher concentrations of triglycerides, VLDLc, non-HDLc and apo B100 and lower levels of HDLc than those with pattern A. Of FCH patients with polymorphism 87.5% presented pattern B and 12.5% pattern A, while patients without polymorphism presented pattern A in 69.2% cases and pattern B in 30.8% cases, with differences being statistically significant (p < 0.004). The prevalence of this mutation in our FCH patients was 9.7%.The prevalence of N291S mutation in our FCH patients was similar to the 9.3% described in Dutch FCHL patients but clearly higher than the 2-5% described for other Caucasian populations. No polymorphism was found in our general population sample. FCH patients with phenotype B of LDL possessed an atherogenic lipid profile. The relationship between small and dense LDL and the presence of the N291S mutation may identify patients with high cardiovascular risk.
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http://dx.doi.org/10.1186/1476-511X-8-12 | DOI Listing |
Diagnostics (Basel)
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Department of Nuclear Medicine and Molecular Imaging, Institut de Cancérologie de Strasbourg Europe (ICANS), University Hospitals of Strasbourg, University of Strasbourg, 67200 Strasbourg, France.
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Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Predicting whether a patient with cancer will benefit from immune checkpoint inhibitors (ICIs) without resorting to advanced genomic or immunologic assays is an important clinical need. To address this, we developed and evaluated SCORPIO, a machine learning system that utilizes routine blood tests (complete blood count and comprehensive metabolic profile) alongside clinical characteristics from 9,745 ICI-treated patients across 21 cancer types. SCORPIO was trained on data from 1,628 patients across 17 cancer types from Memorial Sloan Kettering Cancer Center.
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January 2025
Department of Dermatology, Icahn School of Medicine at the Mount Sinai, New York, New York, USA.
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December 2024
Kawasaki-Tama Eye Clinic, Kawasaki, Kanagawa, Japan.
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Clin Investig Arterioscler
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Unidad de Lípidos y Riesgo Cardiovascular, Servicio de Medicina Interna, Complejo Hospitalario Universitario de A Coruña, A Coruña, España. Electronic address:
The development of massive sequencing techniques and guidelines for assessing the pathogenicity of variants are allowing us the identification of new cases of familial chylomicronemia syndrome (FCS) mostly in the LPL gene, less frequently in GPIHBP1 and APOA5, and with even fewer cases in LMF1 and APOC2. From the included studies, it can be deduced that, in cases with multifactorial chylomicronemia syndrome (MCS), both loss-of-function variants and common variants in canonical genes for FCH contribute to the manifestation of this other form of chylomicronemia. Other common and rare variants in other triglyceride metabolism genes have been identified in MCS patients, although their real impact on the development of severe hypertriglyceridemia is unknown.
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