Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Más filtros











Base de datos
Intervalo de año de publicación
1.
J Psychosom Res ; 125: 109796, 2019 10.
Artículo en Inglés | MEDLINE | ID: mdl-31470255

RESUMEN

Major Depressive Disorder (MDD) is a heterogeneous disorder with a considerable symptomatic overlap with other psychiatric and somatic disorders. This study aims at providing evidence for association of a set of serum and urine biomarkers with MDD. We analyzed urine and serum samples of 40 MDD patients and 47 age- and sex-matched controls using 40 potential MDD biomarkers (21 serum biomarkers and 19 urine biomarkers). All participants were of Caucasian origin. We developed an algorithm to combine the heterogeneity at biomarker level. This method enabled the identification of correlating biomarkers based on differences in variation and distribution between groups, combined the outcome of the selected biomarkers, and calculated depression probability scores (the "bio depression score"). Phenotype permutation analysis showed a significant discrimination between MDD and euthymic (control) subjects for biomarkers in urine (P < .001), in serum (P = .02) and in the combined serum plus urine result (P < .001). Based on this algorithm, a combination of 8 urine biomarkers and 9 serum biomarkers were identified to correlate with MDD, enabling an area under the curve (AUC) of 0.955 in a Receiver Operating Characteristic (ROC) analysis. Selection of either urine biomarkers or serum biomarkers resulted in AUC values of 0.907 and 0.853, respectively. Internal cross-validation (5-fold) confirmed the association of this set of biomarkers with MDD.


Asunto(s)
Trastorno Depresivo Mayor/sangre , Trastorno Depresivo Mayor/orina , Adulto , Algoritmos , Área Bajo la Curva , Biomarcadores/sangre , Biomarcadores/orina , Estudios de Casos y Controles , Femenino , Humanos , Masculino , Persona de Mediana Edad , Curva ROC
2.
PLoS One ; 12(9): e0184603, 2017.
Artículo en Inglés | MEDLINE | ID: mdl-28910337

RESUMEN

Electroconvulsive therapy (ECT) is an effective treatment for depression, but can have negative side effects including amnesia. The mechanisms of action underlying both the antidepressant and side effects of ECT are not well understood. An equivalent manipulation that is conducted in experimental animals is electroconvulsive seizure (ECS). Rodent studies have provided valuable insights into potential mechanisms underlying the antidepressant and side effects of ECT. However, relatively few studies have investigated the effects of ECS in animal models with a depression-relevant manipulation such as chronic stress. In the present study, mice were first exposed to chronic social stress (CSS) or a control procedure for 15 days followed by ECS or a sham procedure for 10 days. Behavioral effects were investigated using an auditory fear conditioning (learning) and expression (memory) test and a treadmill-running fatigue test. Thereafter, immunohistochemistry was conducted on brain material using the microglial marker Iba-1 and the cholinergic fibre marker ChAT. CSS did not increase fear learning and memory in the present experimental design; in both the control and CSS mice ECS reduced fear learning and fear memory expression. CSS induced the expected fatigue-like effect in the treadmill-running test; ECS induced increased fatigue in CSS and control mice. In CSS and control mice ECS induced inflammation in hippocampus in terms of increased expression of Iba-1 in radiatum of CA1 and CA3. CSS and ECS both reduced acetylcholine function in hippocampus as indicated by decreased expression of ChAT in several hippocampal sub-regions. Therefore, CSS increased fatigue and reduced hippocampal ChAT activity and, rather than reversing these effects, a repeated ECS regimen resulted in impaired fear learning-memory, increased fatigue, increased hippocampal Iba-1 expression, and decreased hippocampal ChAT expression. As such, the current model does not provide insights into the mechanism of ECT antidepressant function but does provide evidence for pathophysiological mechanisms that might contribute to important ECT side-effects.


Asunto(s)
Proteínas de Unión al Calcio/metabolismo , Depresión/psicología , Terapia Electroconvulsiva/efectos adversos , Hipocampo/inmunología , Proteínas de Microfilamentos/metabolismo , Estrés Psicológico/psicología , Animales , Condicionamiento Psicológico , Depresión/inmunología , Depresión/terapia , Modelos Animales de Enfermedad , Prueba de Esfuerzo , Masculino , Aprendizaje por Laberinto , Ratones , Estrés Psicológico/inmunología , Estrés Psicológico/terapia
3.
Biomark Med ; 9(3): 277-97, 2015.
Artículo en Inglés | MEDLINE | ID: mdl-25731213

RESUMEN

Major depressive disorder is a heterogeneous disorder, mostly diagnosed on the basis of symptomatic criteria alone. It would be of great help when specific biomarkers for various subtypes and symptom clusters of depression become available to assist in diagnosis and subtyping of depression, and to enable monitoring and prognosis of treatment response. However, currently known biomarkers do not reach sufficient sensitivity and specificity, and often the relation to underlying pathophysiology is unclear. In this review, we evaluate various biomarker approaches in terms of scientific merit and clinical applicability. Finally, we discuss how combined biomarker approaches in both preclinical and clinical studies can help to make the connection between the clinical manifestations of depression and the underlying pathophysiology.


Asunto(s)
Trastorno Depresivo Mayor , Animales , Biomarcadores/metabolismo , Trastorno Depresivo Mayor/diagnóstico , Trastorno Depresivo Mayor/etiología , Trastorno Depresivo Mayor/metabolismo , Trastorno Depresivo Mayor/fisiopatología , Humanos
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA