BackgroundIrritable bowel syndrome (IBS) is the most common functional gastrointestinal (GI) disorder observed in patients who visit general practitioners for GI-related complaints. A high prevalence of psychiatric comorbidities, particularly anxiety and depressive disorders, has been reported in patients with IBS. However, a clear temporal relationship between IBS and psychiatric disorders has not been well established.ObjectiveWe explored the relationship between IBS and the subsequent development of psychiatric disorders including schizophrenia, bipolar disorder, depressive disorder, anxiety disorder, and sleep disorder.MethodsWe selected patients who were diagnosed with IBS caused by gastroenteritis, according to the data in the Taiwan National Health Insurance Research Database. A comparison cohort was formed of patients without IBS who were matched according to age and sex. The incidence rate and the hazard ratios (HRs) of subsequent new-onset psychiatric disorders were calculated for both cohorts, based on psychiatrist diagnoses.ResultsThe IBS cohort consisted of 4689 patients, and the comparison cohort comprised 18756 matched control patients without IBS. The risks of depressive disorder (HR = 2.71, 95% confidence interval [CI] = 2.30–3.19), anxiety disorder (HR = 2.89, 95% CI = 2.42–3.46), sleep disorder (HR = 2.47, 95% CI = 2.02–3.02), and bipolar disorder (HR = 2.44, 95% CI = 1.34–4.46) were higher in the IBS cohort than in the comparison cohort. In addition, the incidence of newly diagnosed depressive disorder, anxiety disorder, and sleep disorder remained significantly increased in all of the stratified follow-up durations (0–1, 1–5, ≥5 y).ConclusionsIBS may increase the risk of subsequent depressive disorder, anxiety disorder, sleep disorder, and bipolar disorder. The risk ratios are highest for these disorders within 1 year of IBS diagnosis, but the risk remains statistically significant for more than 5 years. Clinicians should pay particular attention to psychiatric comorbidities in IBS patients.
Background and Purpose-Intracerebral hemorrhage (ICH) is associated with high mortality and neurological deficits, and concurrent hyperglycemia usually worsens clinical outcomes. Aquaporin-4 (AQP-4) is important in cerebral water movement. Our aim was to investigate the role of AQP-4 in hyperglycemic ICH. Methods-Hyperglycemia was induced by intraperitoneal injection of streptozotocin (STZ; 60 mg/kg) in adult SpragueDawley male rats. ICH was induced by stereotaxic infusion of collagenase/heparin into the right striatum. One set of rats was repeatedly monitored by MRI at 1, 4, and 7 days after ICH induction so as to acquire information on the formation of hematoma and edema. Another set of rats was killed and brains were examined for differences in the degree of hemorrhage and edema, water content, blood-brain barrier destruction, and AQP-4 expression. Results-Hyperglycemia ICH rats exhibited increased brain water content, more severe blood-brain barrier destruction, and greater vasogenic edema as seen on diffusion-weighted MRI. Significant downregulation of AQP-4 was observed in STZ-treated rats after ICH as compared with non-STZ-treated rats. Apoptosis was greater on day 1 after ICH in STZtreated rats. Conclusions-The expression of AQP-4 in the brain is downregulated in hyperglycemic rats as compared with normoglycemic rats after ICH. This change is accompanied by increased vasogenic brain edema and more severe blood-brain barrier destruction. (Stroke. 2013;44:1682-1689.)
Glioblastoma is the most common and most aggressive primary brain malignancy. The multimodality treatments for this tumor including surgery, radiotherapy, and chemotherapy, are still not completely satisfied. Phenethyl isothiocyanate (PEITC), one member of the isothiocyanate family, has been shown to induce apoptosis in many human cancer cells. In this study, we investigate the pro-apoptotic effects caused by PETIC in human brain glioblastoma multiforme GBM 8401 cells. In our data, PEITC induced the cell morphological changes and decreased the cell viability of GBM8401 cells in a dose- and time-dependent manner. Moreover, the analysis of cell cycle distribution detected by flow cytometry showed that PEITC induced significantly sub-G1 phase (apoptotic population) in GBM 8401 cells. In addition, PEITC promoted the production of reactive oxygen species (ROS) and increase in [Ca2+]I, but decreased the mitochondrial membrane potential (ΔΨm) in treated cells. PEITC also induced caspases activities in GBM 8401 cells. Results from Western blot analysis indicated that PEITC promoted Fas, FasL, FADD, TRAIL, caspase-8, -9, -3, increased the pro-apoptotic protein (Bax, Bid and Bak), and inhibited the anti-apoptotic proteins (Bcl-2 and Bcl-xl) in GBM 8401 cells. Furthermore, PEITC promoted the release of cytochrome c, AIF and Endo G. GADD153, GRP 78, XBP-1 and IRE-1α, Calpain I and II in GBM 8401 cells. PEITC also promoted the expression of associated protein with endoplasmic reticulum (ER) stress. PEITC induces apoptosis through the extrinsic (death receptor) pathway, dysfunction of mitochondria, ROS induced ER stress, intrinsic (mitochondrial) pathway in GBM 8401 cells. The possible molecular mechanisms and signaling pathways of the anti-cancer properties of PEITC for human brain glioblastoma cells were postulated.
BackgroundStudies have suggested that chronic inflammation plays an essential role in the pathophysiology of both rheumatoid arthritis (RA) and bipolar disorder. The most common clinical features associated with RA are anxiety and depression. The risk of bipolar disorder among patients with RA has not been characterized adequately.ObjectiveTo determine the association between RA and the subsequent development of bipolar disorder and examine the risk factors for bipolar disorder among patients with RA.MethodsWe identified patients who were diagnosed with RA in the Taiwan National Health Insurance Research Database. A comparison cohort was created by matching patients without RA with those with RA according to age, sex, and comorbidities. The occurrence of bipolar disorder was evaluated in both cohorts.ResultsThe RA cohort consisted of 2,570 patients, and the comparison cohort consisted of 2,570 matched control patients without RA. The incidence of bipolar disorder (incidence rate ratio = 2.13, 95% confidence interval [CI] = 1.12–4.24, P = .013) was higher among patients with RA than among control patients. Multivariate, matched regression models revealed that asthma (hazard ratio [HR] = 2.76, 95% CI 1.27–5.96, P = .010), liver cirrhosis (HR = 3.81, 95% CI = 1.04–14.02, P = .044), and alcohol use disorders (HR = 5.29, 95% CI = 1.71–16.37, P = .004) were independent risk factors for the development of bipolar disorder among patients with RA.ConclusionRA might increase the incidence of bipolar disorder development. Based on our data, we suggest that, following RA diagnosis, greater attention be focused on women with asthma, liver cirrhosis, and alcohol use disorder. Prospective clinical studies of the relationship between RA and bipolar disorder are warranted.
Esophageal cancer may be a prominent risk factor for anxiety and depressive disorders. Based on our data, we suggest that attention should be focused on esophageal cancer patients with comorbid cirrhosis and cerebrovascular disease and those who have received surgical interventions.
We proposed two noise-robust iterative methods for phase retrieval and diffractive imaging based on the Pauta criterion and the smoothness constraint. The work is to address the noise issue plaguing the application of iterative phase retrieval algorithms in coherent diffraction imaging. It is demonstrated by numerical analysis and experimental results that our proposed algorithms have higher retrieval accuracy and faster convergence speed at a high shot noise level. Moreover, they are proved to hold the superiority to cope with other kinds of noises. Due to the inconvenience of conventional iteration indicators in experiments, a more reliable retrieval metric is put forward and verified its effectiveness. It should be noted that the proposed methods focus on exploiting the longitudinal diversity. It is anticipated that our work can further expand the application of iterative multi-image phase retrieval methods.
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