Predicted deleterious variants in ABCA1, LPL, LPA and KIF6 are associated with statin response and adverse events in patients with familial hypercholesterolemia and disturb protein structure and stability.

OBJECTIVES: This study explored the association of deleterious variants in pharmacodynamics (PD) genes with statin response and adverse effects in patients with familial hypercholesterolemia (FH) and analyzed their potential effects on protein structure and stability. METHODS: Clinical and laboratory data were obtained from 144 adult FH patients treated with statins. A panel of 32 PD genes was analyzed by exon-targeted gene sequencing. Deleterious variants were identified using prediction algorithms and their structural effects were analyzed by molecular modeling studies. RESULTS: A total of 102 variants were predicted as deleterious (83 missense, 8 stop-gain, 4 frameshift, 1 indel, 6 splicing). The variants ABCA1 rs769705621 (indel), LPA rs41267807 (p.Tyr2023Cys) and KIF6 rs20455 (p.Trp719Arg) were associated with reduced low-density lipoprotein cholesterol (LDLc) response to statins, and the LPL rs1801177 (p.Asp36Asn) with increased LDLc response (P < 0.05). LPA rs3124784 (p.Arg2016Cys) was predicted to increase statin response (P = 0.022), and ABCA1 rs769705621 to increase the risk of statin-related adverse events (SRAE) (P = 0.027). LPA p.Arg2016Cys and LPL p.Asn36Asp maintained interactions with solvent, LPA p.Tyr2023Cys reduced intramolecular interaction with Gln1987, and KIF6 p.Trp719Arg did not affect intramolecular interactions. DDMut analysis showed that LPA p.Arg2016Cys and p.Tyr2023Cys and LPL p.Asp36Asn caused energetically favorable changes, and KIF6 p.Trp719Arg resulted in unfavorable energetic changes, affecting protein stability. CONCLUSION: Deleterious variants in ABCA1, LPA, LPL and KIF6 are associated with variability in LDLc response to statins, and ABCA1 rs769705621 is associated with SRAE risk in FH patients. Molecular modeling studies suggest that LPA p.Tyr2023Cys and KIF6 p.Trp719Arg disturb protein conformational structure and stability.

Lipidomic analysis identified potential predictive biomarkers of statin response in subjects with Familial hypercholesterolemia.

Familial hypercholesterolemia (FH) is a disorder of lipid metabolism that causes elevated low-density lipoprotein cholesterol (LDL-c) and increased premature atherosclerosis risk. Statins inhibit endogenous cholesterol biosynthesis, which reduces LDL-c plasma levels and prevent from cardiovascular events. This study aimed to explore the effects of statin treatment on serum lipidomic profile and to identify biomarkers of response in subjects with FH. Seventeen adult FH patients underwent a 6-week washout followed by 4-week treatment with atorvastatin (80 mg/day) or rosuvastatin (40 mg/day). LDL-c response was considered good (40-70 % reduction, n = 9) or poor (3-33 % reduction, n = 8). Serum lipidomic profile was analyzed by ultra-high-performance liquid chromatography combined with electrospray ionization tandem time-of-flight mass spectrometry, and data were analyzed using MetaboAnalyst v5.0. Lipidomic analysis identified 353 lipids grouped into 16 classes. Statin treatment reduced drastically 8 of 13 lipid classes, generating a characteristic lipidomic profile with a significant contribution of phosphatidylinositols (PI) 16:0/18:2, 18:0/18:1 and 18:0/18:2; and triacylglycerols (TAG) 18:2x2/18:3, 18:1/18:2/18:3, 16:1/18:2x2, 16:1/18:2/18:3 and 16:1/18:2/Arachidonic acid (p-adjusted <0.05). Biomarker analysis implemented in MetaboAnalyst subsequently identified PI 16:1/18:0, 16:0/18:2 and 18:0/18:2 as predictors of statin response with and receiver operating characteristic (ROC) areas under the curve of 0.98, 0.94 and 0.91, respectively. In conclusion, statins extensively modulate the overall serum lipid composition of FH individuals and these findings suggest that phosphatidyl-inositol molecules are potential predictive biomarkers of statin response.

Effects of PCSK9 missense variants on molecular conformation and biological activity in transfected HEK293FT cells.

PCSK9 gain-of-function (GOF) variants increase degradation of low-density lipoprotein receptor (LDLR) and are potentially associated with Familial Hypercholesterolemia (FH). This study aimed to explore the effects of PCSK9 missense variants on protein structure and interactions with LDLR using molecular modeling analyses and in vitro functional studies. Variants in FH-related genes were identified in a Brazilian FH cohort using an exon-target gene sequencing strategy. Eight PCSK9 missense variants in pro- [p.(E32K) and p.(E57K)], catalytic [p.(R237W), p.(P279T) and p.(A443T)], and C-terminal histidine-cysteine rich (CHR) [p.(R469W), p.(Q619P) and p.(R680Q)] domains were identified. Molecular dynamics analyses revealed that GOF variants p.(E32K) and p.(R469W) increased extreme motions in PCSK9 amino acid backbone fluctuations and affected Hbond and water bridge interactions between the pro-domain and CM1 region of the CHR domain. HEK293FT cells transfected with plasmids carrying p.(E32K) and p.(R469W) variants reduced LDLR expression (8.7 % and 14.8 %, respectively) compared to wild type (p < 0.05) but these GOF variants did not affect PCSK9 expression and secretion. The missense variants p.(P279T) and p.(Q619P) also reduced protein stability and altered Hbond interactions. In conclusion, PCSK9 p.(E32K), p.(R469W), p.(P279T) and p.(Q619P) variants disrupt intramolecular interactions that are essential for PCSK9 structural conformation and biological activity and may have a potential role in FH pathogenesis.

In silico analysis of upstream variants in Brazilian patients with Familial hypercholesterolemia.

Familial hypercholesterolemia (FH) is a prevalent autosomal genetic disease associated with increased risk of early cardiovascular events and death due to chronic exposure to very high levels of low-density lipoprotein cholesterol (LDL-c). Pathogenic variants in the coding regions of LDLR, APOB and PCSK9 account for most FH cases, and variants in non-coding regions maybe involved in FH as well. Variants in the upstream region of LDLR, APOB and PCSK9 were screened by targeted next-generation sequencing and their effects were explored using in silico tools. Twenty-five patients without pathogenic variants in FH-related genes were selected. 3 kb upstream regions of LDLR, APOB and PCSK9 were sequenced using the AmpliSeq (Illumina) and Miseq Reagent Nano Kit v2 (Illumina). Sequencing data were analyzed using variant discovery and functional annotation tools. Potentially regulatory variants were selected by integrating data from public databases, published data and context-dependent regulatory prediction score. Thirty-four single nucleotide variants (SNVs) in upstream regions were identified (6 in LDLR, 15 in APOB, and 13 in PCSK9). Five SNVs were prioritized as potentially regulatory variants (rs934197, rs9282606, rs36218923, rs538300761, g.55038486A > G). APOB rs934197 was previously associated with increased rate of transcription, which in silico analysis suggests that could be due to reducing binding affinity of a transcriptional repressor. Our findings highlight the importance of variant screening outside of coding regions of all relevant genes. Further functional studies are necessary to confirm that prioritized variants could impact gene regulation and contribute to the FH phenotype.

LDLR missense variants disturb structural conformation and LDLR activity in T-lymphocytes of Familial hypercholesterolemia patients.

Familial hypercholesterolemia (FH) is caused by deleterious mutations in the LDLR that increase markedly low-density lipoprotein (LDL) cholesterol and cause premature atherosclerotic cardiovascular disease. Functional effects of pathogenic LDLR variants identified in Brazilian FH patients were assessed using in vitro and in silico studies. Variants in LDLR and other FH-related genes were detected by exon-target gene sequencing. T-lymphocytes were isolated from 26 FH patients, and 3 healthy controls and LDLR expression and activity were assessed by flow cytometry and confocal microscopy. The impact of LDLR missense variants on protein structure was assessed by molecular modeling analysis. Ten pathogenic or likely pathogenic LDLR variants (six missense, two stop-gain, one frameshift, and one in splicing region) and six non-pathogenic variants were identified. Carriers of pathogenic and non-pathogenic variants had lower LDL binding and uptake in activated T-lymphocytes compared to controls (p < 0.05), but these variants did not influence LDLR expression on cell surface. Reduced LDL binding and uptake was also observed in carriers of LDLR null and defective variants. Modeling analysis showed that p.(Ala431Thr), p.(Gly549Asp) and p.(Gly592Glu) disturb intramolecular interactions of LDLR, and p.(Gly373Asp) and p.(Ile488Thr) reduce the stability of the LDLR protein. Docking and molecular interactions analyses showed that p.(Cys184Tyr) and p.(Gly373Asp) alter interaction of LDLR with Apolipoprotein B (ApoB). In conclusion, LDLR null and defective variants reduce LDL binding capacity and uptake in activated T-lymphocytes of FH patients and LDLR missense variants affect LDLR conformational stability and dissociation of the LDLR-ApoB complex, having a potential role in FH pathogenesis.

Avaliação do perfil de microRNAs exossomais em portadores de hipercolesterolemia familial / Evaluation of the profile of exosomal microRNAs in patients with familial hypercholesterolemia

A Hipercolesterolemia Familial (HF) é uma doença hereditária do metabolismo lipídico que causa aos portadores alta incidência de aterosclerose prematura. A HF pode ser diagnosticada clínica e geneticamente, entretanto, apenas cerca de 40% podem ter confirmados pelo diagnostico molecular. Assim, outros sistemas de diagnóstico devem ser avaliados. Ultimamente devido a estabilidade em fluidos biológicos, os exossomos circulantes apresentam grande potencial, pois carreiam um número variado de compostos e são considerados veículos de intercomunicação entre os tecidos. Sabe-se que vários RNAs são carreados nos exossomos, incluindo miRNAs, lncRNA e uma variedade de proteínas. Estes componentes podem ser marcadores de diagnóstico para várias doenças inclusive a HF e suas complicações cardiovasculares. Foram utilizadas amostras de exossomos plasmáticos provenientes de 54 pacientes HF sem uso de estatina por, no mínimo, seis semanas, e 38 indivíduos normolipidêmicos para sequenciamento de miRNAs e estudo da proteômica. Os exossomos foram isolados utilizando dois métodos precipitação química e cromatográfica de exclusão de tamanho e caraterizados utilizando: dispersão de luz dinâmica, Western blotting, rastreamento de nanopartículas (NanoSight), imunomarcação e microscopia eletrônica de transmissão. Os miRNAs e proteínas foram extraídos dos exossomos e analisados por sequenciamento de nova geração e espectrometria de massa, respectivamente. Os dados clínicos, biodemográficos e laboratoriais dos pacientes HF e controles indicaram diferenças significativas esperadas entre os grupos, indicando que foram selecionados adequadamente. A caracterização físico-química dos exossomos mostrou resultados com tamanho de ˜90nm e imunorreação positiva para tetraspaninas. O resultado do sequenciamento identificou acima 2000 miRNAs. Os miR-122- 5p e miR-21-5p apresentaram expressão aumentada no grupo HF (log2FC=1,79 e log2FC=1,27, respectivamente), e o miR-122-5p pós normalização em relação ao controle manteve significativo comparados ao controle (p=0,034). A análise comparativa entre exossomos e plasma total mostrou diferença significativa, pois foram identificadas 239 proteínas (p <0,05) diferentes entre exossomos e plasma. Em exossomos, 17 proteínas foram aumentadas e 21 diminuídas em pacientes com HF em comparação com o controle (p <0,05). Destas, seis proteínas foram mais abundantes em HF e sete proteínas foram menos abundantes em exossomos de pacientes com HF em comparação com o controle. A análise de enriquecimento por bioinformática mostrou que a maior parte dessas moléculas (miRNAs e proteínas) foram relacionadas com metabolismo lipídico, dislipidemia, aterosclerose, doença arterial coronariana, adipogênese. Assim, na busca de novos alvos como potenciais biomarcadores de diagnóstico da HF, nossos resultados da análise integrativa entre os miRNAs e as proteínas exossomais abre novas frentes de pesquisa mais bem direcionadas, para a validação desses miRNAs e proteínas exossomais

Familial Hypercholesterolemia (FH) is an inherited disease of lipid metabolism that causes a high incidence of premature atherosclerosis in patients. FH can be diagnosed clinically and genetically, however, only about 40% can be confirmed by molecular diagnosis. Thus, other diagnostic systems should be evaluated. Lately, due to stability in biological fluids, circulating exosomes have great potential, as they carry a varied number of compounds and are considered vehicles of intercommunication between tissues. Several RNAs are known to be carried on exosomes, including miRNAs, lncRNA, and a variety of proteins. These components can be diagnostic markers for several diseases including FH and its cardiovascular complications. Plasma exosome samples from 54 FH patients without statin use for at least six weeks and 38 normolipidemic individuals were used for miRNA sequencing and proteomics studies. Exosomes were isolated using two methods chemical precipitation and size exclusion chromatography and characterized using: dynamic light scattering, Western blotting, nanoparticle tracking (NanoSight), immunostaining and transmission electron microscopy. MiRNAs and proteins were extracted from exosomes and analyzed by next-generation sequencing and mass spectrometry, respectively. Clinical, biodemographic and laboratory data of FH patients and controls indicated significant expected differences between the groups, indicating that they were appropriately selected. The physicochemical characterization of exosomes showed results with a size of ˜90nm and positive immunoreaction for tetraspanins. The sequencing result identified above 2000 miRNAs. miR-122-5p and miR-21-5p showed increased expression in the FH group (log2FC=1.79 and log2FC=1.27, respectively), and miR122-5p after normalization in relation to the control remained significant compared to the control (p=0.034). The comparative analysis between exosomes and total plasma showed a significant difference, as 239 different proteins (p < 0.05) were identified between exosome and plasma. In exosomes, 17 proteins were increased and 21 decreased in FH patients compared to control (p < 0.05). Of these, six proteins were more abundant in FH and seven proteins were less abundant in exosomes from patients with FH compared to the control. Bioinformatics enrichment analysis showed that most of these molecules (miRNAs and proteins) were related to lipid metabolism, dyslipidemia, atherosclerosis, coronary artery disease, adipogenesis. Thus, in the search for new targets as potential diagnostic biomarkers of FH, our results of the integrative analysis between miRNAs and exosomal proteins opens new and better-directed research fronts for the validation of these miRNAs and exosomal proteins

Integrated analysis of miRNA and mRNA gene expression microarrays: Influence on platelet reactivity, clopidogrel response and drug-induced toxicity.

Genetic and epigenetic variability may influence the efficacy and safety of antiplatelet therapies, including clopidogrel. Therefore, the miRNA-mRNA interactions and drug toxicity were investigated in silico using available microarray data. Expressions profiles of platelet miRNA (GSE59488) from acute coronary syndrome and mRNA in peripheral blood cells (GSE32226) from coronary artery disease patients were used to miRNA-target mRNA integrated analysis by Ingenuity Pathways Analysis 6 software (IPA). Results showed that ST13 mRNA is regulated by hsa-miR-107 (miR-103-3p); BTNL3 and CFD mRNAs are regulated by hsa-miR-4701-3p (miR-1262); SLC7A8 is regulated by hsa-miR-145-5p (miR-145-5p); and SENP5 mRNA is regulated by hsa-miR-15b-5p (miR-16-5p) and hsa-miR-26a-5p (miR-26a-5p). Drug toxicity IPA tool showed that these miRNAs/mRNAs are associated with clopidogrel-related liver and renal injury. In conclusion, these results demonstrate that differential expression of miRNAs in platelets and interactions with their target mRNAs are associated with variability in platelet reactivity, clopidogrel response and drug-induced toxicity.