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1.
Clin Exp Immunol ; 189(2): 232-240, 2017 08.
Artigo em Inglês | MEDLINE | ID: mdl-28369745

RESUMO

Inflammasome signalling induces the processing and secretion of interleukin (IL)-1ß and IL-18 which, coupled with pyroptosis, activate further the inflammatory response. In the present study we evaluated the expression of genes involved in inflammasome signalling pathways in septic patients, their interaction networks and the predicted functions modulated in survivors and non-survivors. Twenty-seven patients with sepsis secondary to community-acquired pneumonia admitted to intensive care units from three general hospitals in São Paulo were included into the study. We performed a polymerase chain reaction (PCR) array encompassing 35 genes related to the nucleotide-binding oligomerization domain and leucine-rich repeat-containing (NLR)-inflammasome in peripheral blood mononuclear cells obtained at admission and after 7 days of follow-up. Eleven healthy volunteers were used as the reference group. Increased NLRC4 and NLRP3 and decreased nucleotide-binding oligomerization domain (NOD1), and NLRP1 expression was observed in septic patients compared to healthy individuals; the IL-1ß and IL-18 expression levels were also high in the patients. The gene expression changes followed the same patterns in surviving and non-surviving patients, with higher magnitudes observed in non-survivors. Functional analyses revealed, however, that activation and inhibition intensity for representing functions were different in survivors and non-survivors, as for production of reactive oxygen species, synthesis of nitric oxide and for the control of bacterial infections. Our results showed that the genes involved in the activation of the NLR-inflammasome cascades were altered substantially in septic patients, with a higher number of altered genes and a higher intensity in the disturbance of gene expression found among patients dying of sepsis.


Assuntos
Infecções Comunitárias Adquiridas/complicações , Inflamassomos/genética , Sepse/genética , Transcriptoma , Adulto , Idoso , Idoso de 80 Anos ou mais , Brasil , Estudos de Casos e Controles , Linhagem Celular , Feminino , Expressão Gênica , Humanos , Interleucina-18/genética , Interleucina-18/metabolismo , Interleucina-1beta/genética , Interleucina-1beta/metabolismo , Leucócitos Mononucleares/metabolismo , Masculino , Pessoa de Meia-Idade , Proteína 3 que Contém Domínio de Pirina da Família NLR/genética , Proteína 3 que Contém Domínio de Pirina da Família NLR/metabolismo , Estudos Prospectivos , Piroptose , Espécies Reativas de Oxigênio/metabolismo , Transdução de Sinais , Receptores Toll-Like/genética , Receptores Toll-Like/metabolismo
2.
Br J Anaesth ; 110(3): 402-8, 2013 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-23161359

RESUMO

BACKGROUND: The applicability of pulse pressure variation (ΔPP) to predict fluid responsiveness using lung-protective ventilation strategies is uncertain in clinical practice. We designed this study to evaluate the accuracy of this parameter in predicting the fluid responsiveness of septic patients ventilated with low tidal volumes (TV) (6 ml kg(-1)). METHODS: Forty patients after the resuscitation phase of severe sepsis and septic shock who were mechanically ventilated with 6 ml kg(-1) were included. The ΔPP was obtained automatically at baseline and after a standardized fluid challenge (7 ml kg(-1)). Patients whose cardiac output increased by more than 15% were considered fluid responders. The predictive values of ΔPP and static variables [right atrial pressure (RAP) and pulmonary artery occlusion pressure (PAOP)] were evaluated through a receiver operating characteristic (ROC) curve analysis. RESULTS: Thirty-four patients had characteristics consistent with acute lung injury or acute respiratory distress syndrome and were ventilated with high levels of PEEP [median (inter-quartile range) 10.0 (10.0-13.5)]. Nineteen patients were considered fluid responders. The RAP and PAOP significantly increased, and ΔPP significantly decreased after volume expansion. The ΔPP performance [ROC curve area: 0.91 (0.82-1.0)] was better than that of the RAP [ROC curve area: 0.73 (0.59-0.90)] and pulmonary artery occlusion pressure [ROC curve area: 0.58 (0.40-0.76)]. The ROC curve analysis revealed that the best cut-off for ΔPP was 6.5%, with a sensitivity of 0.89, specificity of 0.90, positive predictive value of 0.89, and negative predictive value of 0.90. CONCLUSIONS: Automatized ΔPP accurately predicted fluid responsiveness in septic patients ventilated with low TV.


Assuntos
Lesão Pulmonar Aguda/prevenção & controle , Pressão Sanguínea/fisiologia , Hidratação , Respiração Artificial/métodos , Sepse/fisiopatologia , Sepse/terapia , Idoso , Pressão do Ar , Automação , Débito Cardíaco/fisiologia , Feminino , Hemodinâmica/fisiologia , Humanos , Masculino , Pessoa de Meia-Idade , Valor Preditivo dos Testes , Pressão Propulsora Pulmonar/fisiologia , Curva ROC , Respiração Artificial/efeitos adversos , Mecânica Respiratória/fisiologia , Ressuscitação , Choque Séptico/fisiopatologia , Choque Séptico/terapia , Volume de Ventilação Pulmonar/fisiologia
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