Is asthma a protective factor for dengue fever? In vitro experiment and nationwide population-based cohort analysis.

BACKGROUND: Dengue fever (DF) is the most rapidly spreading mosquito-borne viral disease. Practical vaccines or specific therapeutics are still expected. Environmental factors and genetic factors affect the susceptibility of Dengue virus (DV) infection. Asthma is a common allergic disease, with house dust mites (HDMs) being the most important allergens. Asthmatic patients are susceptible to several microorganism infections. METHODS: A nationwide population-based cohort analysis was designed to assess whether to determine whether asthma can be a risk factor for DF. RESULTS: Unexpectedly, our data from a nationwide population-based cohort revealed asthmatic patients are at a decreased risk of DF. Compared to patients without asthma, the hazard ratio (HR) for DF in patients with asthma was 0.166 (95% CI: 0.118-0.233) after adjustment for possible confounding factors. In the age stratification, the adjusted HR for DF in young adult patients with asthma was 0.063. Dendritic cell-specific intercellular adhesion molecule 3-grabbing non-integrin (DC-SIGN) of dendritic cells (DCs) is an important entry for DV. Through another in vitro experiment, we found that HDM can diminish surface expression of DC-SIGN in monocyte-derived DCs and further decrease the cellular entry of DV. CONCLUSIONS: Decreased DC-SIGN expression in DCs of allergic asthmatic patient may be one of many factors for them to be protected against DF. This could implicate the potential for DC-SIGN modulation as a candidate target for designing therapeutic strategies for DF.

Increased ischemic stroke risk in patients with Behçet's disease: A nationwide population-based cohort study.

BACKGROUND: Behçet's disease (BD) is a recurrent, multisystemic, inflammatory disorder that mainly affects blood vessels. Because recurrent inflammation of blood vessels in the brain plays a crucial role in the development of ischemic stroke, we hypothesized that patients with BD might have an elevated risk of ischemic stroke. This potential association has been suggested in a few case reports, but not epidemiological studies. Hence, the present study aimed to examine the relation between BD and subsequent ischemic stroke in Taiwan using a nationwide, population-based database. METHODS: To establish a study cohort, the longitudinal data of 306 patients newly diagnosed with BD during 2000-2010 were extracted from the National Health Insurance Research Database, Taiwan. For comparison of ischemic stroke incidence, a control cohort of 1224 subjects without BD was established using a frequency-matched ratio of 1:4 for age, sex, and pre-existing comorbidities. RESULTS: During the 10-year follow-up, 13 (4.2%) patients with BD and 20 (1.6%) control subjects experienced ischemic stroke. Kaplan-Meier analysis revealed the higher prevalence of ischemic stroke in the BD group (log-rank test, p = 0.001). After adjusting for comorbidities and demographic characteristics, Cox regression analysis revealed that patients with BD had a 2.77-fold risk of ischemic stroke (95% confidence interval, 1.38-5.57) compared to control subjects. CONCLUSIONS: Patients with BD have an elevated risk of ischemic stroke. Hence, BD may affect the vascular system in the brain, resulting in a stroke event.

Analysis of ciprofloxacin by a simple high-performance liquid chromatography method.

A simple and sensitive high-performance liquid chromatographic method is described for the quantitative analysis of ciprofloxacin in pharmaceuticals and human plasma. The method employs reversed-phase chromatography using an RP-C18 column with an isocratic mobile phase of acetonitrile-2% acetic acid aqueous solution (16:84, v/v), umbelliferone as an internal standard, and a flow rate of 1.0 mL/min. The UV detector is set at 280 nm. The limit of detection is 0.25 microM (S/N = 3, injection volume = 10 microL). The regression equations are linear (r > 0.9999) over a range between 0.51 approximately 130 microM for the pharmaceutical analysis of ciprofloxacin and 0.51 approximately 64.8 microM for the biological analysis of ciprofloxacin in human plasma. The intra- and inter-day relative standard deviation and relative error are less than 3.39% and 5.71%, respectively. All the recoveries are greater than 93.8%. This method is successfully applied in a pharmacokinetic study of a volunteer who receives a 500 mg ciprofloxacin tablet.

Quantitative comorbidity risk assessment of dementia in Taiwan: A population-based cohort study.

Dementia is one of the most burdensome illnesses in elderly populations worldwide. However, the literature about multiple risk factors for dementia is scant.To develop a simple, rapid, and appropriate predictive tool for the clinical quantitative assessment of multiple risk factors for dementia.A population-based cohort study.Based on the Taiwan National Health Insurance Research Database, participants first diagnosed with dementia from 2000 to 2009 and aged ≥65 years in 2000 were included.A logistic regression model with Bayesian supervised learning inference was implemented to evaluate the quantitative effects of 1- to 6-comorbidity risk factors for dementia in the elderly Taiwanese population: depression, vascular disease, severe head injury, hearing loss, diabetes mellitus (DM), and senile cataract, identified from a nationwide longitudinal population-based database.This study enrolled 4749 (9.5%) patients first diagnosed as having dementia. Aged, female, urban residence, and low income were found as independent sociodemographic risk factors for dementia. Among all odds ratios (ORs) of 2-comorbidity risk factors for dementia, comorbid depression and vascular disease had the highest adjusted OR of 6.726. The 5-comorbidity risk factors, namely depression, vascular disease, severe head injury, hearing loss, and DM, exhibited the highest OR of 8.767. Overall, the quantitative effects of 2 to 6 comorbidities and age difference on dementia gradually increased; hence, their ORs were less than additive. These results indicate that depression is a key comorbidity risk factor for dementia.The present findings suggest that physicians should pay more attention to the role of depression in dementia development. Depression is a key cormorbidity risk factor for dementia. It is the urgency of evaluating the nature of the link between depression and dementia; and further testing what extent controlling depression could effectively lead to the prevention of dementia.

Highly sensitive analysis of cholesterol and sitosterol in foods and human biosamples by liquid chromatography with fluorescence detection.

A simple and sensitive method is described for the quantitative analysis of important animal and plant sterols (cholesterol and sitosterol) by liquid chromatography with fluorimetric detection. The method is based on the derivatization of cholesterol and sitosterol with a fluorescent reagent (naproxen acyl chloride) in toluene. The resulting derivatives were isocratically separated on a C(8) column with a mixed solvent of methanol-isopropanol-water (90:5:5, v/v) as a mobile phase and monitored with a fluorimetric detector (excitation 231 nm and emission 352 nm). The linear range for the quantitation of cholesterol or sitosterol was 0.1-2.0 microM with a detection limit (S/N=3 with 10 microl injected) of about 25 nM. Recoveries of cholesterol spiked in milk (n=5) ranged over 99-104% with relative standard deviations (RSD) less than 6.0%. Application of the method to the analysis of cholesterol or sitosterol in milk, saliva and urine proved simple and feasible.

A Bayesian Approach to Identifying New Risk Factors for Dementia: A Nationwide Population-Based Study.

Dementia is one of the most disabling and burdensome health conditions worldwide. In this study, we identified new potential risk factors for dementia from nationwide longitudinal population-based data by using Bayesian statistics.We first tested the consistency of the results obtained using Bayesian statistics with those obtained using classical frequentist probability for 4 recognized risk factors for dementia, namely severe head injury, depression, diabetes mellitus, and vascular diseases. Then, we used Bayesian statistics to verify 2 new potential risk factors for dementia, namely hearing loss and senile cataract, determined from the Taiwan's National Health Insurance Research Database.We included a total of 6546 (6.0%) patients diagnosed with dementia. We observed older age, female sex, and lower income as independent risk factors for dementia. Moreover, we verified the 4 recognized risk factors for dementia in the older Taiwanese population; their odds ratios (ORs) ranged from 3.469 to 1.207. Furthermore, we observed that hearing loss (OR = 1.577) and senile cataract (OR = 1.549) were associated with an increased risk of dementia.We found that the results obtained using Bayesian statistics for assessing risk factors for dementia, such as head injury, depression, DM, and vascular diseases, were consistent with those obtained using classical frequentist probability. Moreover, hearing loss and senile cataract were found to be potential risk factors for dementia in the older Taiwanese population. Bayesian statistics could help clinicians explore other potential risk factors for dementia and for developing appropriate treatment strategies for these patients.