We aimed to examine the association between metabolic syndrome and the risk of kidney stone development in a large-scale community-based cohort. A total of 121,579 participants enrolled in the Taiwan Biobank were analyzed. They were divided into two groups on the basis of presence of metabolic syndrome. The presence of kidney stone disease was defined by self-reported history of kidney stones. The mean age of participants was 50 years old, and self-reported kidney stones were observed in 3446 (10%) and 4292 (5%) participants with metabolic syndrome and without metabolic syndrome, respectively. Higher prevalence of kidney stone disease was found in participants with metabolic syndrome compared to those without metabolic syndrome (odds ratio (OR), 1.32; 95% confidence interval (95% CI), 1.25 to 1.39). In addition, the risk of incident kidney stone development was analyzed in a longitudinal cohort of 25,263 participants without kidney stones at baseline during a mean follow-up of 47 months. Multivariable Cox regression analysis revealed that the risk for incident kidney stone disease was higher in participants with metabolic syndrome than those without metabolic syndrome (hazard ratio, 1.24; 95% CI, 1.04 to 1.49). Our study suggests that metabolic syndrome does increase the risk of kidney stones.

Introduction: Urinary incontinence (UI) is more prevalent in elderly populations with dementia than those without dementia. Alzheimer’s disease (AD) is the most common cause of dementia. Urge UI, the most common type of UI in AD patients, causes more morbidity and mortality. However, it is inconvenient to obtain the report of urodynamic study from AD patient to diagnose urinary incontinence. Nevertheless, it is easier to obtain subjective or objective questionnaires from the patients or the caregivers. The data collected from the questionnaires are used to evaluate if severity of dementia is associated with urge UI and other lower urinary tract symptoms (LUTs). Patients and Methods: A total of 43 AD patients were enrolled in this study, all of whom were checked post-void residual (PVR) urine amount by sonography after voiding. The severity of dementia was evaluated by questionnaire including Cognitive Abilities Screening Instrument (CASI), Mini Mental Status Examination (MMSE), Clinical Dementia Rating (CDR), and Clinical Dementia Rating Sub-of-Box (CDR-SB). The LUTs were assessed with International Consultation of Incontinence Questionnaire (ICIQ) and Overactive bladder symptom scores (OABSS) questionnaire. Independent t test and Pearson’s correlation analysis were calculated. Results: The average age in both AD with/without urge UI patients is 78 years old. The scores of CDR-SB, OABSS and ICIQ are significantly different in these 2 groups (p = 0.023, p = 0.003, p = 0.001; respectively). However, the neurophysiological scores of CASI, MMSE, CDR, CDR-SB is not correlated with OABSS (r = 0.047, p = 0.382; r = 0.074, p = 0.317; r = 0.087, p = 0.288; r = 0.112, p = 0.237; respectively). Interestingly, if we separate each individual symptom of OAB, there is a significant correlation between CDR-SB and urge UI score (r = 0.314, p = 0.023). Conclusions: Higher lower urinary tract symptom scores are noted in AD patients with urge UI. The CDR-SB score is highly correlated with urge UI in AD patients.

Many approaches utilize metabolic pathway information to reconstruct the phyletic tree of fully sequenced organisms, but how metabolic networks can add information to original genomic annotations has remained open.

Software-Defined Networking (SDN) is a new approach to design, build and manage computer networks. Multicast is used to transmit the same video file to different users. In this paper, we propose two multicast algorithms to solve the multicast problem in SDN environment. Both algorithms consider the balance of bandwidth utilization and communication delay between the source and clients. Simulation results show that our algorithms can improve the network bandwidth utilization and successful rate of the multicast requests than the previous works.

Background: A high incidence of upper urinary tract urothelial carcinoma has been reported in the southwestern area of Taiwan, where arsenic water contamination was considered the main cause. However, there is no definite proof to show a correlation between arsenic water contamination and upper urinary tract urothelial carcinoma. To investigate the clinical and epidemiological features of patients with upper urinary tract urothelial carcinoma between arsenic water endemic and non-endemic areas, we analyzed patients in terms of characteristics, stratified overall survival, disease-free survival, and cancer-specific survival. Methods: The records of a total of 1194 patients diagnosed with upper urinary tract urothelial carcinoma were retrospectively reviewed. Clinical data and current medical status were collected from the medical records. Statistical analyses were performed to determine the clinical variables and stratified survival curves between endemic and non-endemic groups. Results: Female predominance was revealed in both endemic and non-endemic groups (male:female ratio = 1:1.2–1.4). No statistical differences were found in histological types, staging, and tumor size between the two groups. Nonetheless, patients with characteristics of aging and having end-stage renal disease were outnumbered in the non-endemic group, while a higher prevalence of previous bladder tumors and more ureteral tumors were found in the endemic group. Adjusted stratified cumulative survival curves suggested a poorer prognosis in endemic patients, especially in disease-free survival of early stage disease. Conclusions: A higher mortality rate with more previous bladder cancer history and ureteral tumors was seen in patients with upper urinary tract urothelial carcinoma residing in the arsenic water contamination area. This may be attributed to the long-term carcinogenic effect of arsenic underground water.

Phthalates, ubiquitous in plastics and softening agents, are pervasive in our daily environment. Growing concerns have emerged regarding their potential impact on renal health, particularly due to their propensity to induce oxidative stress. However, the relationship between phthalate exposure and urolithiasis remains poorly understood. This research seeks to explore the connection between phthalate exposure, oxidative stress, and the risk of urolithiasis. A case-control study involving 285 patients diagnosed with calcium urolithiasis and 594 healthy controls was conducted. Participants completed structured questionnaires and provided urine samples for measuring 10 phthalate metabolites, biomarkers of oxidative stress (malondialdehyde [MDA]) and early renal injury (N-acetyl-beta-D-glucosaminidase [NAG] and albumin/creatinine ratio [ACR]). For subsequent analyses, we utilized distinct categories: the sum of high-molecular-weight phthalate metabolites (∑HMWm), the sum of low-molecular-weight phthalate metabolites (∑LMWm), and the daily intake of di-2-ethylhexyl phthalate (DEHP)(DI_DEHP_5). Stone patients exhibited significantly elevated urinary biomarkers of oxidative stress (MDA) and early renal injury (NAG and ACR), along with higher levels of 9 out of 10 assessed phthalate metabolites compared to normal controls. Within the study population, significant positive associations were found between almost all individual phthalate metabolites and urinary biomarkers of oxidative stress (MDA) as well as early renal injury (NAG and ACR). Logistic regression further confirmed that elevated phthalate levels, including ∑HMWm, ∑LMWm, and DI_DEHP_5, were uniformly associated with an increased risk of oxidative stress, early renal injury, and urolithiasis after adjusting for confounding factors. Our study uncovers a novel association between phthalate exposure and the risk of urolithiasis, underscoring the heightened risk of kidney injury posed by such exposure. Considering the widespread presence of phthalates, regulatory measures and public health interventions are crucial to mitigate phthalate-related nephrotoxicity, while further large-scale longitudinal research is imperative to validate our initial findings and elucidate the underlying mechanisms.