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1.
Cerebrovasc Dis ; 49(1): 88-96, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-31995799

RESUMEN

BACKGROUND: The statistical association between a short-term rise in low-density lipoprotein cholesterol (LDL-C) levels and the short-term outcome of acute ischemic stroke remains unknown. We aimed to evaluate the association in acute ischemic stroke patients during hospitalization. METHODS: Patients with acute ischemic stroke who received statin at discharge were enrolled in this multicenter registry study. LDL-C values were measured on the first day after admission and on the day before discharge to determine the rise in LDL-C levels. Poor outcome was defined as a modified Ranking Scale score ≥2 at discharge. The National Institutes of Health Stroke Scale increase from admission to discharge by 2 points was defined as clinical deterioration. Logistic regression analyses were used to analyze the relationship between LDL-C rise during hospitalization and poor outcome at discharge. Variables that were significantly different between the LDL-C rise and LDL-C fall groups were considered in adjustment for confounding variables in model 1. Age, sex, and those variables in model 1 were considered in adjustment for confounding variables in model 2. RESULTS: Among the 676 patients, 110 (16.3%) showed a rise in LDL-C levels during hospitalization. Multivariate analyses showed that LDL-C at admission <1.6 mmol/L was significantly correlated with LDL-C rise during hospitalization (p < 0.001). There were significantly more patients with a poor outcome in the "LDL-C rise" group than in the "LDL-fall" group (p = 0.002). Multiple models consistently showed that LDL-C rise increased the risk of a poor outcome at discharge in model 1 (OR [95% CI] 1.351 [1.059-1.723], p = 0.016) and model 2 (OR [95% CI] 1.370 [1.071-1.751], p = 0.012). LDL-C rise also increased the risk of clinical deterioration, although its p value only was 0.043 in model 1 and 0.048 in model 2. CONCLUSIONS: Rise in LDL-C during hospitalization from acute ischemic stroke is an independent predictor of poor outcome at discharge. In particular, patients with lower LDL-C values at admission are a higher at risk, and LDL-C in these patients should thus be monitored while in hospital.


Asunto(s)
Isquemia Encefálica/terapia , LDL-Colesterol/sangre , Inhibidores de Hidroximetilglutaril-CoA Reductasas/uso terapéutico , Alta del Paciente , Accidente Cerebrovascular/terapia , Anciano , Biomarcadores/sangre , Isquemia Encefálica/sangre , Isquemia Encefálica/diagnóstico , Isquemia Encefálica/fisiopatología , China , Evaluación de la Discapacidad , Femenino , Humanos , Masculino , Persona de Mediana Edad , Admisión del Paciente , Sistema de Registros , Factores de Riesgo , Accidente Cerebrovascular/sangre , Accidente Cerebrovascular/diagnóstico , Accidente Cerebrovascular/fisiopatología , Factores de Tiempo , Resultado del Tratamiento , Regulación hacia Arriba
2.
Biol Chem ; 392(7): 609-16, 2011 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-21627537

RESUMEN

Abstract To identify the functional gene fragment, a neutrophil inhibitory factor (NIF) like protein was found in the buccal gland of Lampetra japonica, suggesting that this related lamprey protein represents a novel class of integrin receptor antagonists. The recombinant Lampetra japonica-NIF like (rLj-NIF) was identified by SDS-PAGE and purified by using His·Bind affinity chromatography. Effect of rLj-NIF on neutrophil migration suggested that rLj-NIF can act as a neutrophil inhibitory factor. Besides that, oxidative burst activity of neutriphil was tested by flow cytometry using dihydrorhodamine (DHR123) as a fluorogenic substrate, and the data suggested that the mean fluorescence intensity significantly decreased compared with positive controls (p<0.01). All above results indicated that rLj-NIF could also prevent the binding of ß2 integrins to the surface of PMN and its FITC-labeled monoclonal antibodies (p<0.05). These data suggest that Lampetra japonica-NIF like protein is secreted by the stage of the parasite at the site of attachment. rLj-NIF plays an essential role in physiological reaction of neutrophil by a novel class of ß2 integrin receptor antagonists. The activity of immunosuppressant of L. japonica-NIF could have potential medicinal value in anti-inflammation and therapy of autoimmune diseases.


Asunto(s)
Proteínas de Peces/genética , Proteínas de Peces/inmunología , Lampreas/genética , Lampreas/inmunología , Proteínas de la Membrana/genética , Proteínas de la Membrana/inmunología , Secuencia de Aminoácidos , Animales , Movimiento Celular/efectos de los fármacos , Proteínas de Peces/química , Proteínas de Peces/farmacología , Perfilación de la Expresión Génica , Regulación de la Expresión Génica , Humanos , Proteínas de la Membrana/química , Proteínas de la Membrana/farmacología , Datos de Secuencia Molecular , Neutrófilos/efectos de los fármacos , Proteínas Recombinantes/genética , Proteínas Recombinantes/inmunología , Proteínas Recombinantes/farmacología , Estallido Respiratorio/efectos de los fármacos , Glándulas Salivales/inmunología , Alineación de Secuencia
3.
Phys Rev E Stat Nonlin Soft Matter Phys ; 78(2 Pt 1): 021131, 2008 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-18850810

RESUMEN

A modified floor field model is proposed to simulate pedestrian evacuation in rooms with internal obstacles and multiple exits. The modifications lie in developing a method to calculate the static floor field for every lattice site, which is determined by the most feasible distance to an exit, and employing a logit-based discrete choice principle to govern the exit selection. Simulation results show that the evacuation time is sensitive to the exit position and some model parameters. For pedestrians unfamiliar with the exit location, additional doors may not be necessary and can cause a negative effect on evacuation time. It is also found that unfamiliarity with the room's inner configuration and blindly following others will lead to an increase of the evacuation time.


Asunto(s)
Conducta de Elección , Administración de la Seguridad , Simulación por Computador , Humanos , Modelos Estadísticos
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