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.

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 (40­70 % reduction, n = 9) or poor (3­33 % 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.

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.

In silico analysis of upstream variants in Brazilian patients with familial hypercholesterolemia

ABSTRACT: 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.

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.

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.

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.

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

ABSTRACT: 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.

Genetic variant ABCC1 rs45511401 is associated with increased response to statins in patients with familial hypercholesterolemia

Statins are the first-line treatment for familial hypercholesterolemia (FH), but response is highly variable due to genetic and nongenetic factors. Here, we explored the association between response and genetic variability in 114 Brazilian adult FH patients. Specifically, a panel of 84 genes was analyzed by exon-targeted gene sequencing (ETGS), and the functional impact of variants in pharmacokinetic (PK) genes was assessed using an array of functionality prediction methods. Low-density lipoprotein cholesterol (LDL-c) response to statins (reduction ≥ 50%) and statin-related adverse event (SRAE) risk were assessed in carriers of deleterious variants in PK-related genes using multivariate linear regression analyses. Fifty-eight (50.8%) FH patients responded to statins, and 24 (21.0%) had SRAE. Results of the multivariate regression analysis revealed that ABCC1 rs45511401 significantly increased LDL-c reduction after statin treatment (p < 0.05). In silico analysis of the amino-acid change using molecular docking showed that ABCC1 rs45511401 possibly impairs statin efflux. Deleterious variants in PK genes were not associated with an increased risk of SRAE. In conclusion, the deleterious variant ABCC1 rs45511401 enhanced LDL-c response in Brazilian FH patients. As such, this variant might be a promising candidate for the individualization of statin therapy.

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

Genomics, epigenomics and pharmacogenomics of Familial Hypercholesterolemia (FHBGEP): A study protocol

BACKGROUND: Familial hypercholesterolemia (FH) is a genetic disease that affects millions of people worldwide. OBJECTIVES: The study protocol FHBGEP was design to investigate the main genomic, epigenomic, and pharmacogenomic factors associated with FH and polygenic hypercholesterolemia (PH). METHODS: FH patients will be enrolled at six research centers in Brazil. An exon-targeted gene strategy will be used to sequence a panel of 84 genes related to FH, PH, pharmacogenomics and coronary artery disease. Variants in coding and regulatory regions will be identified using a proposed variant discovery pipeline and classified according to the American College Medical Genetics guidelines. Functional effects of variants in FH-related genes will be investigated by in vitro studies using lymphocytes and cell lines (HepG2, HUVEC and HEK293FT), CRISPR/Cas9 mutagenesis, luciferase reporter assay and other technologies. Functional studies in silico, such as molecular docking, molecular dynamics, and conformational analysis, will be used to explore the impact of novel variants on protein structure and function. DNA methylation profile and differential expression of circulating non-coding RNAs (miRNAs and lncRNAs) will be analyzed in FH patients and normolipidemic subjects (control group). The influence of genomic and epigenomic factors on metabolic and inflammatory status will be analyzed in FH patients. Pharmacogenomic studies will be conducted to investigate the influence of genomic and epigenomic factors on response to statins in FH patients. SUMMARY: The FHBGEP protocol has the potential to elucidate the genetic basis and molecular mechanisms involved in the pathophysiology of FH and PH, particularly in the Brazilian population. This pioneering approach includes genomic, epigenomic and functional studies, which results will contribute to the improvement of the diagnosis, prognosis and personalized therapy of FH patients.

Late response to rosuvastatin and statin-related myalgia due to SLCO1B1, SLCO1B3, ABCB11, and CYP3A5 variants in a patient with Familial Hypercholesterolemia: a case report

Abstract: Statins are the most widely used cholesterol-lowering drugs for cardiovascular diseases prevention. However, some patients are refractory to treatment, whereas others experience statin-related adverse events (SRAE). It has been increasingly important to identify pharmacogenetic biomarkers for predicting statin response and adverse events. This case report describes a female patient with familial hypercholesterolemia (FH) who showed late response to rosuvastatin and experienced myalgia on statin treatment. In the first visit (V1), the patient reported myalgia to rosuvastatin 40 mg, which was interrupted for a 6-week wash-out period. In V2, rosuvastatin 20 mg was reintroduced, but her lipid profile did not show any changes after 6 weeks (V3) (LDL-c: 402 vs. 407 mg/dL). Her lipid profile markedly improved after 12 weeks of treatment (V4) (LDL-c: 208 mg/dL), suggesting a late rosuvastatin response. Her adherence to treatment was similar in V1 and V3 and no drug interactions were detected. Pharmacogenetic analysis revealed that the patient carries low-activity variants in SLCO1B1*1B and*5, SLCO1B3 (rs4149117 and rs7311358), and ABCB11 rs2287622, and the non-functional variant in CYP3A5*3. The combined effect of variants in pharmacokinetics-related genes may have contributed to the late response to rosuvastatin and statin-related myalgia. Therefore, they should be considered when assessing a patient's response to statin treatment. To the best of our knowledge, this is the first report of a pharmacogenetic analysis on a case of late rosuvastatin response.

Caracterização da proteína adipogênica E4orf1 do Adenovirus 36 através de técnicas de modelagem molecular / Characterization of Adenovirus 36 adipogenic protein E4orf1 by molecular modeling techniques

INTRODUÇÃO: O termo "Infectobesidade" vem tornando-se mais relevância em estudos sobre obesidade, devido à descoberta de alguns vírus responsáveis por produzir um aumento na proliferação e diferenciação de células adiposas. O adenovírus 36 (AdV-36) ganhou mais atenção devido à sua associação com a obesidade humana, onde uma maior prevalência de anticorpos anti-AdV-36 foi descrita em indivíduos obesos em comparação com não obesos. Sugere-se que os efeitos de E4orf1 são produzidos pela ativação da via Fosfatidilinositol 3 quiinase (PI3K), translocando GLUT4, em um processo regulado pela ativação de Ras. A formação de um complexo proteico entre E4orf1 e proteínas pertencentes ao citoplasma celular que contêm um domínio PDZ, como DLG-1, MAGI-1, MUPP1, PATJ e ZO-2, é necessária para a ativação de PI3K. MÉTODOS: Estratégias in silico como modelagem por homologia, dinâmica molecular (DM) e docking molecular foram utilizadas para entender a complementariedade molecular entre E4orf1 e 5 diferentes domínios da PDZ: DLG1 (PDZ1 e PDZ2), MAGI-1 (PDZ3), MUPP1 (PDZ7 e PDZ10). Assim, foram construídos os modelos 3D (código PDB de Adenovírus (E4orf1): 3C3I; 3C2T e 5F9K) baseado grau de identidade (28-30%), a construção dos modelos 3D foi realizada no software MODELLER v9.21. O gráfico de Ramachamdran do modelo de menor energia foi utilizado como principal validação. Para os cálculos de DM, as simulações foram realizadas no programa Gromacs utilizando o campo de força moleculares (amber99 + ILDN), caixa água cúbica 0,5, íons Cl e Na foram adicionados, a concentração utilizada foi o pH fisiológico. RESULTADOS: Estudos de docking molecular realizados pelo servidor web clusPRO para buscar a melhor conformação para cada complexo. Assim, realizou-se uma simulação por DM de 300 ns e análise desvio médio quadrático (RMSD); Flutuação média quadrada da raiz (RMSF) e contatos de frequência durante a DM. No nível molecular, foi possível observar a interação com frequência > 75% do tempo de simulação, interação entre Phe79 (E4orf1) e His289 (PDZ1 e PDZ10) do tipo hidrofóbico e 4 Å da distância de interação, sugerindo que a A estabilidade do complexo é obtida pela interação entre os resíduos nesta região hidrofóbica em E4orf1 (Val77 e Ile78) e PDZ1-PDZ10 (Pro245, His246 e Val287). CONCLUSÃO: Os resultados das interações entre E4orf1 e os diferentes domínios testados sugerem que os resíduos são importantes na interação e estabilização, trazendo inovação à um alvo pouco explorado e despertando a caracterização do mesmo como um druggable target para de novos fármacos contra a obesidade. (AU)

Influência da variante APOA5 C. 56G>C no perfil lipídico de indivíduos com hipercolesterolemia familial / Influence of APOA5 C.56G> C variant on lipid profile of individuals with familial hypercholesterolemia

INTRODUÇÃO: A apolipoproteína A-V regula a produção e secreção de lipoproteína de densidade muito baixa (VLDL) pelo fígado, estimula a hidrólise de triglicerídeos (TG) mediada pela lipoproteína lipase (LPL) e atua na captação hepática de lipoproteínas ricas em TG e seus remanescentes. Alterações no gene APOA5 podem modificar a função e causar hipertrigliceridemia. Estudos in silico indicam que a variante rs3135506 c.56G>C pode diminuir a expressão de APOA5 e aumentar a secreção de VLDL. OBJETIVO: Investigar a influência da variante c.56G>C no perfil lipídico de indivíduos com hipercolesterolemia familial (HF). Métodos: Foram selecionados 35 indivíduos com diagnóstico clínico de HF segundo o critério Dutch-MEDPED e idade superior a 18 anos. Amostras de sangue foram obtidas para análise do perfil lipídico e sequenciamento. Dos 35 pacientes sequenciados, 22 obtiveram diagnóstico molecular para HF. Os éxons do APOA5 foram analisados por sequenciamento de alto rendimento utilizando a plataforma MiSeq (Illumina). As análises primária, secundária e terciária dos dados foram realizadas com os programas Real Time Analysis, MiSeq Reporter, BaseSpace Sequence Hub e VariantStudio. RESULTADOS: A variante rs3135506 foi detectada em 12 pacientes (Genótipo GC:34,3%). Os portadores do genótipo c.56GC tiveram maiores concentrações de TG e VLDL-c e menores de HDL-c que os portadores do genótipo c.56GG (Tabela 1). Os indivíduos HF foram categorizados segundo a presença ou não de hipertrigliceridemia (TG>150 mg/dL). A frequência do genótipo GC foi maior no grupo hipertrigliceridemia (8/15, 53,3%) que no grupo sem hipertrigliceridemia (4/20, 20,0%) (OR=4,57, IC95%:1,03-20,35, p=0,040). CONCLUSÃO: A variante APOA5 rs3135506 está associada a hipertrigliceridemia e HDL-c reduzido em indivíduos HF. (AU)

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.