Browsing by Author "Chiang H.-C."

Impaired lung function is associated with morbidity and mortality in the elderly. However, there is a paucity of data regarding the long-term effects of particulate matter (PM) on lung function among the elderly. This study evaluated the exposure-response relationship between ambient PM and different lung function indices among the elderly in Taiwan. A cross-sectional survey of individuals aged ?65 years was conducted in Taiwan from October 2015 to September 2016. Those who attended the annual health examination for the elderly in five hospitals of varying background PM concentrations were enrolled. The long-term (2015 annual mean concentration) exposure to air pollution was estimated by the Kriging method at the residence of each subject. The association between ambient PM exposure and lung function was evaluated by linear regression modeling, with adjustments for age, sex, height, weight, educational attainment, presence of asthma or chronic obstructive pulmonary disease, smoking status, season, and co-pollutants. There were 1241 subjects (mean age, 70.5 years). The mean residential PM2.5 and PM2.5–10 in 2015 was 26.02 and 18.01 μg/m3, respectively. After adjustments for confounders and co-pollutants, the FVC decrease was best associated with fine particles (PM2.5), whereas the FEV1, FEF25–75%, FEF25% and FEF50% decreases were best associated with coarse particles (PM2.5–10). An IQR (10 μg/m3) increase in PM2.5 decreased FVC by 106.38 ml (4.47%), while an IQR (7.29 μg/m3) increase in PM2.5–10 decreased FEV1 and FEF25–75% by 91.23 ml (4.85%) and 104.44 ml/s (5.58%), respectively. Among the Taiwanese elderly, long-term PM2.5 exposure mainly decreases the vital capacity of lung function. Moreover, PM2.5–10 has a stronger negative effect on the function of conductive airways than PM2.5. ? 2019, The Author(s).

All suicides (n=12497) in Taiwan in 2001-2004 were identified from mortality records retrieved from the National Health insurance Database. Altogether, 95.1% of females and 84.9% of males had been in contact with healthcare services in the year before their death. Females received significantly more diagnoses of psychiatric disorders (48.0% v. 30.2%) and major depression (17.8% v. 7.4%) than males. Such differences were consistent across different medical settings where contact with hospital-based non-psychiatric physicians was as common as with general practitioners (GPs). However, diagnoses of psychiatric disorders were underdiagnosed in both genders.

Autophagy is a complex process of autodigestion in conditions of cellular stress, and it might play an important role in the pathophysiology during carcinogenesis. We hypothesize that genetic variants of the autophagy pathway may influence clinical outcomes in prostate cancer patients. We genotyped 40 tagging single-nucleotide polymorphisms (SNPs) from 7 core autophagy pathway genes in 458 localized prostate cancer patients. Multivariate Cox regression was performed to evaluate the independent association of each SNP with disease progression. Positive findings were then replicated in an independent cohort of 504 advanced prostate cancer patients. After adjusting for known clinicopathologic factors, the association between ATG16L1 rs78835907 and recurrence in localized disease [hazard ratio (HR) 0.70, 95% confidence interval (CI) 0.54-0.90, P=0.006] was replicated in more advanced disease (HR 0.78, 95% CI 0.64-0.95, P=0.014). Additional integrated in silico analysis suggests that rs78835907 tends to affect ATG16L1 expression, which in turn is correlated with tumor aggressiveness and patient prognosis. In conclusion, genetic variants of the autophagy pathway contribute to the variable outcomes in prostate cancer, and discovery of these novel biomarkers might help stratify patients according to their risk of disease progression.

Background: Pulmonary function is known to be affected by acute and subacute exposure to ambient air pollution. However, the impacts of lifetime exposure to air pollution on the pulmonary function of children have been inconsistent. The present study investigated the impact of lifetime residential exposure to intermediate levels of air pollution on the pulmonary function of schoolchildren. Methods: In 2011, a survey of children aged 6–15 years was conducted in 44 schools in Taiwan. Atopic history, residential history, and environmental factors were recorded. Spirograms were obtained from a random sample of children without asthma. A total of 535 girls and 481 boys without a history of asthma were enrolled. Lifetime residential exposure to air pollutants, including particulate matter with an aerodynamic diameter less than 10 μm (PM10), ozone (O3), sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO), was estimated using the kriging method, based on monitored data from the Taiwan Environmental Protection Administration. Multiple linear regression was used to analyze the association between lifetime air pollution exposure and pulmonary function, after adjustment for potential confounders and recent exposure. Results: After adjustment for 7-day average air pollutant levels, a 10 μg/m3 increase in PM10 was related to reductions in the forced expiratory volume in 1 s (?2.00%; 95% confidence interval [CI] ?3.09% to ?0.90%), forced vital capacity (?1.86%; CI: ?2.96% to ?0.75%), and maximal midexpiratory flow (?2.28%; CI: ?4.04% to ?0.51%). These associations were independent of the other pollutants. Conclusion: Lifetime exposure to 25–85 μg/m3 of PM10 has negative impacts on the pulmonary function of children. This study provides documentation that lifetime exposure to 25–85 μg/m3 of PM10 reduces the pulmonary function of schoolchildren, after adjustment for short-term exposure. ? 2017 Elsevier Ltd

Background: Diabetes is known to impair wound healing and deteriorate the periodontal condition. There is limited information about the patterns and events associated with periodontal wound repair. In this study, we evaluate the dynamics of periodontal wound repair using micro-computed tomography (microCT) and immunohistochemistry. Methods: Thirty-six male rats were used, and diabetes was induced by streptozotocin. The maxillary first molars were extracted, and a tooth-associated osseous defect was created in the extraction area. Animals were sacrificed after 7, 14, and 21 days. Volumetry and distribution of bone trabeculae were evaluated by microCT imaging. The patterns of healing and collagen alignment were evaluated by histology. Advanced glycation end-product (AGE) deposition and expression of the receptor for AGEs (RAGE), tartrate-resistant acid phosphatase, and proliferating cell nuclear antigen were evaluated by histochemical and immunohistochemical staining. Results: Diabetic animals demonstrated a significantly reduced bone volume and trabecular number as well as thinner trabeculae and more trabecular separation in osseous defects. The early stage was characterized by significantly reduced cellular proliferation and prolonged active inflammation without evident bone resorption, whereas delayed recovery of collagen realignment, matrix deposition, and bone turnover was noted in later stages. Although AGEs and RAGE were present during healing in diabetes and controls, a stronger and more persistent level of expression was observed in the group with diabetes Conclusions: Diabetes significantly delayed osseous defect healing by augmenting inflammation, impairing proliferation, and delaying bone resorption. The AGE-RAGE axis can be activated under metabolic disturbance and inflammation. ? 2012 American Academy of Periodontology. All rights reserved.

OBJECTIVE: To use information from genetic polymorphisms and from patients (drinking/exercise habits) to identify their association with stone disease, the main analytical and predictive tools being discriminant analysis (DA) and artificial neural networks (ANNs). PATIENTS, SUBJECTS AND METHODS: Urinary stone disease is common in Taiwan; the formation of calcium oxalate stone is reportedly associated with genetic polymorphisms but there are many of these. Genotyping requires many individuals and markers because of the complexity of gene-gene and gene-environmental factor interactions. With the development of artificial intelligence, data-mining tools like ANNs can be used to derive more from patient data in predicting disease. Thus we compared 151 patients with calcium oxalate stones and 105 healthy controls for the presence of four genetic polymorphisms; cytochrome p450c17, E-cadherin, urokinase and vascular endothelial growth factor (VEGF). Information about environmental factors, e.g. water, milk and coffee consumption, and outdoor activities, was also collected. Stepwise DA and ANNs were used as classification methods to obtain an effective discriminant model. RESULTS: With only the genetic variables, DA successfully classified 64% of the participants, but when all related factors (gene and environmental factors) were considered simultaneously, stepwise DA was successful in classifying 74%. The results for DA were best when six variables (sex, VEGF, stone number, coffee, milk, outdoor activities), found by iterative selection, were used. The ANN successfully classified 89% of participants and was better than DA when considering all factors in the model. A sensitivity analysis of the input parameters for ANN was conducted after the ANN program was trained; the most important inputs affecting stone disease were genetic (VEGF), while the second and third were water and milk consumption. CONCLUSIONS: While data-mining tools such as DA and ANN both provide accurate results for assessing genetic markers of calcium stone disease, the ANN provides a better prediction than the DA, especially when considering all (genetic and environmental) related factors simultaneously. This model provides a new way to study stone disease in combination with genetic polymorphisms and environmental factors.

Lung cancer, a common malignancy in Taiwan, involves multiple factors, including genetics and environmental factors. The survival time is very short once cancer is diagnosed as being in advanced stage and surgically unresectable. Therefore, a good model of prediction of disease outcome is important for a treatment plan. We investigated the survival time in advanced lung cancer by using computer science from the genetic polymorphism of the p21 and p53 genes in conjunction with patients' general data. We studied 75 advanced and surgical unresectable lung cancer patients. The prediction of survival time was made by comparing real data obtained from follow-up periods with data generated by an artificial neural network (ANN). The most important input variable was the clinical staging of lung cancer patients. The second and third most important variables were pathological type and responsiveness to treatment, respectively. There were 25 neurons in the input layer, four neurons in the hidden layer-1, and one neuron in the output layer. The predicted accuracy was 86.2%. The average survival time was 12.44 ± 7.95 months according to real data and 13.16 ± 1.77 months based on the ANN results. ANN provides good prediction results when clinical parameters and genetic polymorphisms are considered in the model. It is possible to use computer science to integrate the genetic polymorphisms and clinical parameters in the prediction of disease outcome. Data mining provides a promising approach to the study of genetic markers for advanced lung cancer. ? 2003 Wiley-Liss, Inc.

Background/Purpose: Suicide is an important public health problem and one of the leading causes of death worldwide. The present study investigated the prevalence of suicidal ideation (SI) and its associated risk factors in the general population. Methods: A nationwide community survey was conducted using a computer-aided telephone interview system with residents aged ? 15 years, who were selected by a stratified, proportional randomization method. The questionnaire comprised demographic variables, five items of psychopathology selected from the Brief Symptom Rating Scale (BSRS-5) and questions about personal experience with suicide. In total, 2054 respondents, 1002 male (48.8%), and 1052 female (51.2%), completed the survey. Results: The weighted prevalence of SI was 2.84% in the past week, 5.50% in the past year, and 18.49% during a lifetime. Significant risk factors for SI in the last week included presence of SI over the past year [odds ratio (OR) =1763.6], SI during the lifetime (OR =267.6), psychiatric morbidity (OR = 30.3), depression (OR =26.1), inferiority (OR =11.2), hostility (OR = 10.9), anxiety (OR = 10.5), insomnia (OR =6.7), history of seeking help for psychological distress (OR = 7.9), divorce (OR =6.4), unemployment (OR = 5.0) and having suicidal behavior in relatives or friends (OR =3.8). Stepwise multiple regression analysis demonstrated that the five symptom items of BSRS-5 and unemployment significantly predicted 25.3% of the variance of SI. Using the BSRS-5 score 3 or 4 as a cut-off to predict SI, the rate of accurate classification was 85.88%, with sensitivity of 0.83 and specificity of 0.86. Conclusion: A telephone interview survey containing the BSRS-5 items is an efficient way to identify determinants of SI in the general population. ? 2010 Formosan Medical Association & Elsevier.

Background: Progression of diabetes-associated periodontal destruction and the roles of advanced glycation end products (AGEs) are investigated. Methods: Diabetes was induced by streptozocotin injection, and periodontitis was induced via silk ligature placement with Porphyromonas gingivalis lipopolysaccharide injection in 64 Sprague-Dawley rats for 7 to 21 days. The quality of alveolar bone and attachment loss (AL) were measured by microcomputed tomography and histology. Destruction profiles were evaluated by histology, histochemistry, immunohistochemistry, and quantitative assessments of inflammatory cells, expression of receptors for AGEs (RAGE), tartrate-resistant acid phosphatase, and proliferating cell nuclear antigen. Results: Without periodontitis induction, there was no obvious morphologic change in the periodontium, although slight elevations of AGEs and RAGE levels were noted in animals with diabetes. In the group with experimental periodontitis, significant periodontal bone loss was noted in animals both with and without diabetes from day 7, with more progressive bone loss in animals with diabetes during days 14 to 21. Histologically, the disruption of attachment and inflammation were observed from day 7, but subsequently subsided in animals without diabetes. A stronger and more prolonged response with significant AL was observed in animals with diabetes. Stronger inflammation, attenuated and persistent resorptive activity, and weaker proliferating potential were demonstrated by animals with diabetes. AGE deposition and RAGE expression were noted in animals without diabetes but with periodontitis, although levels were considerably elevated in the later stages in animals with diabetes. Conclusions: Diabetes augments periodontal destruction by reducing the proliferating capability and activating resorptive activities. Presence of the AGE-RAGE axis without diabetes implies that it is involved in the regulation of inflammation.

Objective: The objective of this study is to examine physicians' awareness of diagnosable psychiatric disorders in suicide cases' last medical contacts (MCs). Materials and methods: The contact rates and proportions of both psychiatric and somatic diagnoses in a national cohort of suicide subjects (N=3468) in Taiwan seeking psychiatric or nonpsychiatric medical services within 1 month and 1 year preceding death were examined. Results: The overall rates of MCs were 72.6% within 1 month and 89.2% within 1 year preceding suicide. While around 99.9% of the suicide subjects who contacted psychiatrists within 1 month preceding death were diagnosed as having psychiatric disorders, only 19.7% of those visiting nonpsychiatric physicians had psychiatric diagnoses. Suicide subjects, however, frequently complained of somatic symptoms, for example, gastrointestinal discomfort, headache/dizziness and back problem during their contacts with nonpsychiatric physicians within 1 month preceding death. Conclusions: Despite the high rates of MCs preceding suicide, the majority of suicide subjects were not diagnosed. Emphasizing psychosomatic manifestations of psychiatric disorders in physician education programs may help enhance the awareness of psychiatric disorders/suicide risk in clinical settings. ? 2009 Elsevier Inc. All rights reserved.