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1.
Artículo en Inglés | MEDLINE | ID: mdl-33238165

RESUMEN

Despite the increasing prevalence of autism spectrum disorder (ASD), there is still a deficiency in understanding its exact pathophysiology and treatment, therefore validation of translational ASD animal model is warranted. Although strong evidences support the valproic acid (VPA) model of autism, yet a controversy exists regarding the best timing of exposure whether prenatal or postnatal. Accordingly, this study was designed to compare the time dependent effects of VPA exposure as regard its ability to induce autistic like changes in male Wistar rats. In this study, two different protocols of VPA exposure (prenatal and postnatal) were compared at different levels (behavioral, neurochemical and histopathological). Results of this study revealed that both prenatal and postnatal VPA exposures induced autistic-like behaviors manifested by reduced social interaction, increased repetitive stereotyped behavior and anxiety, cognitive dysfunction, lowered sensitivity to pain, and neurodevelopmental delay. Furthermore, inflammatory cytokines and oxidative/nitrosative stress markers were elevated in prefrontal cortex and hippocampal homogenates. Likewise, histopathological and immunohistochemical assessment confirmed the neurodegenerative and the apoptotic changes in prefrontal cortex, hippocampus and cerebellum exhibited by decreased viable cells number and Nissl's granules optical density, and increased caspase-3 immunoreactivity respectively. Interestingly, ASD core symptoms and histopathological changes were significantly (P < 0.05) altered in prenatal VPA model compared to postnatal VPA model. Additionally, postnatal mortality in prenatal model (4.3%) was much lower compared to the postnatal model (22.7%). In conclusion, our study overweighs the ability of prenatal VPA model over postnatal VPA model to induce behavioral and neuropathological alterations that simulate those observed in autistic individuals with a lower postnatal animal mortality, highlighting the privilege of prenatal over postnatal VPA exposure as a translational model for understanding pathophysiology and developing novel targets for management of ASD.


Asunto(s)
Trastorno Autístico/inducido químicamente , Ácido Valproico/farmacología , Animales , Animales Recién Nacidos , Apoptosis/efectos de los fármacos , Trastorno Autístico/patología , Trastorno Autístico/psicología , Química Encefálica/efectos de los fármacos , Citocinas/análisis , Modelos Animales de Enfermedad , Femenino , Masculino , Prueba del Laberinto Acuático de Morris , Prueba de Campo Abierto , Estrés Oxidativo/efectos de los fármacos , Embarazo , Efectos Tardíos de la Exposición Prenatal/inducido químicamente , Ratas , Ratas Wistar , Reproducibilidad de los Resultados , Ácido Valproico/administración & dosificación
2.
Clin Lab ; 62(12): 2395-2404, 2016 Dec 01.
Artículo en Inglés | MEDLINE | ID: mdl-28164563

RESUMEN

BACKGROUND: Cell free DNA (cfDNA) was recently suggested as a new marker of sepsis and poor outcome in ICU patients. Procalcitonin has also been the focus of attention as an early marker for systemic inflammation and sepsis. METHODS: cfDNA, procalcitonin (PCT), C-reactive protein (CRP), and lactate levels were measured in 30 ICU patients with multiple trauma or after major surgery on the first day of admission and on 5th and 7th days for PCT, CRP, and lactate. cfDNA was measured by real-time PCR, PCT by ELISA, CRP immunoturbidimetrically, and lactate spectrophotometrically. SOFA score and Injury Severity Score (ISS) for trauma patients were calculated. RESULTS: Significantly higher levels of cfDNA were observed in non-survivor patients in comparison to survivors and in patients with sepsis in comparison to those without sepsis (p = 0.002 and p = 0.02, respectively). The ROC curve was calculated for cfDNA as a predictor of outcome, the area under the curve (AUC) was 0.847 (95% CI: 0.669 - 0.952), at a cutoff value of 15500 ng/µL, sensitivity = 83.3%, specificity = 77.8% (p < 0.0001). As a prognostic marker of sepsis, the AUC for cfDNA was 0.788 (95% CI: 0.601 - 0.915), sensitivity = 56.25%, specificity = 100% (p = 0.0007). Day 5 PCT levels significantly correlated with SOFA scores on day 5, ISS on admission (p < 0.001 and p = 0.028, respectively), and a significant elevation of its levels was observed in non-survivor patients compared to survivors (p = 0.001). As a predictor of sepsis, PCT showed a sensitivity of 81.3%, specificity of 100% on day 5, (AUC: 0.987, 95% CI: 0.955 - 1.00); at a cutoff value of 202.90 pg/mL (p = 0.001). As a predictor of outcome, PCT on day 5 showed a sensitivity of 94.0% and a specificity of 78.0% at a cutoff value of 194.40 pg/mL (p = 0.001). Day 1 CRP correlated with ISS on admission, and on day 5 it correlated with SOFA score 5, while lactate correlated with length of stay on days 1, 5, and 7, and its levels were significantly higher in non-survivors on days 5 and 7. CONCLUSIONS: cfDNA is a good predictor of patient outcome in ICU and to a lesser extent as a marker of sepsis. PCT is another promising marker that can complement cfDNA to reach better patient management. Other markers can help in less severe cases.


Asunto(s)
Calcitonina/sangre , Ácidos Nucleicos Libres de Células/sangre , ADN/sangre , Unidades de Cuidados Intensivos , Traumatismo Múltiple/sangre , Complicaciones Posoperatorias/sangre , Sepsis/sangre , Procedimientos Quirúrgicos Operativos/efectos adversos , Adulto , Área Bajo la Curva , Biomarcadores/sangre , Proteína C-Reactiva/metabolismo , Ácidos Nucleicos Libres de Células/genética , ADN/genética , Diagnóstico Precoz , Femenino , Mortalidad Hospitalaria , Humanos , Puntaje de Gravedad del Traumatismo , Ácido Láctico/sangre , Tiempo de Internación , Masculino , Persona de Mediana Edad , Traumatismo Múltiple/diagnóstico , Traumatismo Múltiple/genética , Traumatismo Múltiple/mortalidad , Puntuaciones en la Disfunción de Órganos , Complicaciones Posoperatorias/diagnóstico , Complicaciones Posoperatorias/genética , Complicaciones Posoperatorias/mortalidad , Valor Predictivo de las Pruebas , Pronóstico , Curva ROC , Reproducibilidad de los Resultados , Factores de Riesgo , Sepsis/diagnóstico , Sepsis/genética , Sepsis/mortalidad , Procedimientos Quirúrgicos Operativos/mortalidad , Factores de Tiempo
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