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1.
J Exp Med ; 182(6): 2079-90, 1995 Dec 01.
Artigo em Inglês | MEDLINE | ID: mdl-7500053

RESUMO

The beta 1 subfamily of integrins is thought to play an important role in both the adhesion/migration and proliferation/differentiation of T cells. beta 1 integrins can provide T cell costimulation through interaction of very late antigen (VLA) 4 (VLA-4) (alpha 4 beta 1) and VLA-5 (alpha 5 beta 1) with the extracellular matrix protein fibronectin (FN), or by VLA-4 binding to its cell surface ligand, vascular cell adhesion molecule (VCAM) 1. The mechanism by which beta 1 integrin members transduce T cell-costimulatory signals is poorly understood. Studies in non-T cells have demonstrated regulation of the tyrosine focal adhesion kinase pp125FAK by beta 1 integrin engagement and, most recently, indicate a role for pp125FAK in linking integrin-mediated signal transduction to the Ras pathway (Schaller, M. D., and J. T. Parsons, 1994, Curr. Opin. Cell. Biol. 6: 705-710; Schlaepfer, D. D., S. K. Hanks, T. Hunter, and P. Van der Geer. 1994. Nature (Lond.), 372:786-790). Although pp125FAK kinase occurs in T cells, there are no reports on its regulation in this cell type. The studies described in this article characterize novel regulation of pp125FAK by the T cell receptor (TCR)-CD3 antigen complex and beta 1 integrins, and provide the first account, in any cell type, of integrin alpha 4 beta 1-mediated pp125FAK tyrosine phosphorylation. We demonstrate a rapid and sustained synergistic increase in tyrosine phosphorylation of human pp125FAK in Jurkat T cells after simultaneous (a) triggering of the TCR-CD3 complex, and (b) alpha 4 beta 1 and alpha 5 beta 1 integrin-mediated binding of these cells to immobilized FN or alpha 4 beta 1 integrin-mediated binding to immobilized VCAM-1. Studies with normal peripheral blood-derived CD4+ human T blasts confirm the synergistic action of a TCR-CD3 complex-mediated costimulus with a FN- or VCAM-1-dependent signal in the induction of T cell pp125FAK tyrosine phosphorylation. In vitro kinase assays performed on pp125FAK immunoprecipitates isolated from Jurkat cells and normal CD4+ T cells identified a coprecipitating 57-kD tyrosine-phosphorylated protein (pp57), distinct from pp59fyn or pp56lck. These results indicate, for the first time, the involvement of a specific kinase, pp125FAK, in alpha 4 beta 1- and alpha 5 beta 1-mediated T cell-costimulatory signaling pathways. In addition, the data demonstrate novel regulation of pp125FAK tyrosine phosphorylation by the TCR-CD3 complex.


Assuntos
Complexo CD3/fisiologia , Moléculas de Adesão Celular/metabolismo , Integrinas/fisiologia , Proteínas Tirosina Quinases/metabolismo , Receptores de Antígenos de Linfócitos T alfa-beta/fisiologia , Sequência de Aminoácidos , Linfócitos T CD4-Positivos/metabolismo , Antígenos CD58/fisiologia , Adesão Celular/efeitos dos fármacos , Fibronectinas/fisiologia , Quinase 1 de Adesão Focal , Proteína-Tirosina Quinases de Adesão Focal , Humanos , Ligantes , Dados de Sequência Molecular , Fosfotirosina/metabolismo , Proteína Quinase C/fisiologia , Receptores de Fibronectina/fisiologia , Transdução de Sinais , Acetato de Tetradecanoilforbol/farmacologia , Células Tumorais Cultivadas , Molécula 1 de Adesão de Célula Vascular/fisiologia
2.
Clin Pharmacol Ther ; 102(1): 106-114, 2017 07.
Artigo em Inglês | MEDLINE | ID: mdl-27981566

RESUMO

Despite growing clinical use of genomic information, patient perceptions of genomic-based care are poorly understood. We prospectively studied patient-physician pairs who participated in an institutional pharmacogenomic implementation program. Trust/privacy/empathy/medical decision-making (MDM)/personalized care dimensions were assessed through patient surveys after clinic visits at which physicians had access to preemptive pharmacogenomic results (Likert scale, 1 = minimum/5 = maximum; mean [SD]). From 2012-2015, 1,261 surveys were issued to 507 patients, with 792 (62.8%) returned. Privacy, empathy, MDM, and personalized care scores were significantly higher after visits when physicians considered pharmacogenomic results. Importantly, personalized care scores were significantly higher after physicians used pharmacogenomic information to guide medication changes (4.0 [1.4] vs. 3.0 [1.6]; P < 0.001) compared with prescribing visits without genomic guidance. Multivariable modeling controlling for clinical factors confirmed personalized care scores were more favorable after visits with genomic-influenced prescribing (odds ratio [OR] = 3.26; 95% confidence interval [CI] = (1.31-8.14); P < 0.05). Physicians seem to individualize care when utilizing pharmacogenomic results and this decision-making augmentation is perceived positively by patients.


Assuntos
Tomada de Decisão Clínica/métodos , Farmacogenética/métodos , Testes Farmacogenômicos/métodos , Relações Médico-Paciente , Padrões de Prática Médica , Medicina de Precisão/psicologia , Atitude Frente a Saúde , Sistemas de Apoio a Decisões Clínicas , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Percepção Social , Estados Unidos
3.
Clin Pharmacol Ther ; 102(5): 859-869, 2017 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-28398598

RESUMO

Changes in behavior are necessary to apply genomic discoveries to practice. We prospectively studied medication changes made by providers representing eight different medicine specialty clinics whose patients had submitted to preemptive pharmacogenomic genotyping. An institutional clinical decision support (CDS) system provided pharmacogenomic results using traffic light alerts: green = genomically favorable, yellow = genomic caution, red = high risk. The influence of pharmacogenomic alerts on prescribing behaviors was the primary endpoint. In all, 2,279 outpatient encounters were analyzed. Independent of other potential prescribing mediators, medications with high pharmacogenomic risk were changed significantly more often than prescription drugs lacking pharmacogenomic information (odds ratio (OR) = 26.2 (9.0-75.3), P < 0.0001). Medications with cautionary pharmacogenomic information were also changed more frequently (OR = 2.4 (1.7-3.5), P < 0.0001). No pharmacogenomically high-risk medications were prescribed during the entire study when physicians consulted the CDS tool. Pharmacogenomic information improved prescribing in patterns aimed at reducing patient risk, demonstrating that enhanced prescription decision-making is achievable through clinical integration of genomic medicine.


Assuntos
Sistemas de Apoio a Decisões Clínicas/normas , Prescrições de Medicamentos/normas , Sistemas de Registro de Ordens Médicas/normas , Farmacogenética/normas , Papel do Médico , Sistemas Automatizados de Assistência Junto ao Leito/normas , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Rotulagem de Medicamentos/métodos , Rotulagem de Medicamentos/normas , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Farmacogenética/métodos , Estudos Prospectivos , Adulto Jovem
4.
Clin Pharmacol Ther ; 99(4): 401-4, 2016 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-26756170

RESUMO

The field of pharmacogenomics originally emerged in the 1950s from observations that a few rare individuals had unexpected, severe reactions to drugs. As recently as just 6 years ago, prominent views on the subject had largely remained unchanged, with authors from the US Food and Drug Administration (FDA) citing the purpose of pharmacogenetics as "tailoring treatment for the outliers." It should not be surprising if this is the prevailing view--the best-studied pharmacogenomic drug examples are indeed just that, genetic explanations of extreme responses or susceptibilities among usually a very small fraction of the human population. Thiopurine methyltransferase (TPMT) deficiency as a cause of severe myelosuppression upon treatment with azathioprine or mercaptopurine is found as a heterozygous trait in only ∼ 10% of patients, and homozygous (deficiency) carriers are even more rare--occurring in fewer than 1 in 300 patients. Malignant hyperthermia resulting from inhaled anesthetics and succinylcholine is believed to have a genetic incidence of only about 1 in 2000 people.


Assuntos
Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/genética , Farmacogenética , Interpretação Estatística de Dados , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/diagnóstico , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/epidemiologia , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/prevenção & controle , Predisposição Genética para Doença , Humanos , Modelos Estatísticos , Farmacogenética/estatística & dados numéricos , Fenótipo , Medição de Risco , Fatores de Risco
5.
Clin Pharmacol Ther ; 100(2): 179-90, 2016 08.
Artigo em Inglês | MEDLINE | ID: mdl-26940584

RESUMO

Providers have expressed a strong desire to have additional clinical decision-support tools to help with interpretation of pharmacogenomic results. We developed and tested a novel disease-drug association tool that enables pharmacogenomic-based prescribing to treat common diseases. First, 324 drugs were mapped to 484 distinct diseases (mean number of drugs treating each disease was 4.9; range 1-37). Then the disease-drug association tool was pharmacogenomically annotated, with an average of 1.8 pharmacogenomically annotated drugs associated/disease. Applying this tool to a prospectively enrolled >1,000 patient cohort from a tertiary medical center showed that 90% of the top ∼20 diseases in this population and ≥93% of patients could appropriately be treated with ≥1 medication with actionable pharmacogenomic information. When combined with clinical patient genotypes, this tool permits delivery of patient-specific pharmacogenomically informed disease treatment recommendations to inform the treatment of many medical conditions of the US population, a key initial step towards implementation of precision medicine.


Assuntos
Sistemas de Apoio a Decisões Clínicas , Genótipo , Farmacogenética/métodos , Padrões de Prática Médica/normas , Medicina de Precisão/métodos , Bases de Dados Factuais/estatística & dados numéricos , Humanos , Estudos Prospectivos , Centros de Atenção Terciária , Estados Unidos
6.
Clin Pharmacol Ther ; 92(4): 446-9, 2012 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-22929923

RESUMO

The paradigm of individualized drug therapy based on genetics is an ideal that is now potentially possible. However, translation of pharmacogenomics into practice has encountered barriers such as limited availability and the high cost of genetic testing, the delays involved, disagreements about interpretation of results, and even lack of understanding about pharmacogenomics in general. We describe our institutional pharmacogenomics-implementation project, "The 1200 Patients Project," a model designed to overcome these barriers and facilitate the availability of pharmacogenomic information for personalized prescribing.


Assuntos
Modelos Genéticos , Preparações Farmacêuticas , Farmacogenética/métodos , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos , Testes Genéticos/métodos , Testes Genéticos/tendências , Genoma Humano/genética , Humanos , Preparações Farmacêuticas/administração & dosagem , Farmacogenética/tendências
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