The current understanding of the neurobioloby of anxiety is generally based on experimental animal model, empirical effective psychopharmacological agents, chemical and naturalistic challenge paradigms, and psychoendocinological assessment. This article focuses on reviewing neuroanantomical, neuroendocinological and neurofunctional research of anxiety disorder. In the decade ahead, we anticipate that extension of current research and the new integrated approach promise novel insight into mechanism of anxiety.
Anxiety Disorders ; Anxiety* ; Models, Animal ; Neuroanatomy ; Neurobiology* ; Neuroendocrinology ; Neuroimaging

OBJECTIVE: The pathophysiology of major depressive disorder (MDD) is still not well understood. Conflicting results for surrogate biomarkers in MDD have been reported, which might be a consequence of the heterogeneity of MDD patients. Therefore, we aim to investigate how the severity of depression and various symptom domains are related to the levels of dehydroepiandrosterone sulfate (DHEA-s) in MDD patients. METHODS: We recruited 117 subjects from a general practice. Depressive symptoms were assessed using the Beck Depression Inventory (BDI). Depressive symptoms were divided into three subdomains according to BDI items; somatic symptoms, guilt and failure, and mood and inhibition. RESULTS: In subjects with very-mild-to-moderate depression, the DHEA-s level increased as BDI score did. However, the DHEA-s levels in the subjects with severe depression were significantly lower than in subjects with moderate depression (p=0.003). DHEA-s level was correlated with the BDI subscore for guilt and failure in very-mild-to-moderate depression (r=0.365, p=0.006). CONCLUSION: The DHEA-s level appears to be indicative of MDD severity with respect to depressive symptoms, especially regarding guilt and failure. Our findings suggest that the upregulation of DHEA-s may be a part of a compensatory process in very-mild-to-moderate depression, and the failure of this compensation mechanism may underlie the development of severe depression.
Biomarkers ; Compensation and Redress ; Dehydroepiandrosterone Sulfate* ; Dehydroepiandrosterone* ; Depression ; Depressive Disorder, Major* ; Diagnosis, Differential ; General Practice ; Guilt ; Humans ; Neuroendocrinology ; Population Characteristics ; Up-Regulation

BACKGROUND: Determining risk factors for diabetes insipidus (DI) after pituitary surgery is important in improving patient care. Our objective is to determine the factors associated with DI after pituitary surgery. METHODS: We reviewed records of patients who underwent pituitary surgery from 2011 to 2015 at Philippine General Hospital. Patients with preoperative DI were excluded. Multiple logistic regression analysis was performed and a predictive model was generated. The discrimination abilities of the predictive model and individual variables were assessed using the receiving operator characteristic curve. RESULTS: A total of 230 patients were included. The rate of postoperative DI was 27.8%. Percent change in serum Na (odds ratio [OR], 1.39; 95% confidence interval [CI], 1.15 to 1.69); preoperative serum Na (OR, 1.19; 95% CI, 1.02 to 1.40); and performance of craniotomy (OR, 5.48; 95% CI, 1.60 to 18.80) remained significantly associated with an increased incidence of postoperative DI, while percent change in urine specific gravity (USG) (OR, 0.53; 95% CI, 0.33 to 0.87) and meningioma on histopathology (OR, 0.05; 95% CI, 0.04 to 0.70) were significantly associated with a decreased incidence. The predictive model generated has good diagnostic accuracy in predicting postoperative DI with an area under curve of 0.83. CONCLUSION: Greater percent change in serum Na, preoperative serum Na, and performance of craniotomy significantly increased the likelihood of postoperative DI while percent change in USG and meningioma on histopathology were significantly associated with a decreased incidence. The predictive model can be used to generate a scoring system in estimating the risk of postoperative DI.
Area Under Curve ; Craniotomy ; Diabetes Insipidus* ; Discrimination (Psychology) ; Hospitals, General ; Humans ; Incidence ; Logistic Models ; Meningioma ; Neuroendocrinology ; Neurosurgery ; Patient Care ; Postoperative Complications ; Risk Factors ; Specific Gravity ; Vasopressins