LUTS/BPH increases the risk of depressive symptoms among elderly adults: A 5-year longitudinal evidence from CHARLS.

OBJECTIVE: The prevalence of Lower Urinary Tract Symptoms suggestive of Benign Prostatic Hyperplasia (LUTS/BPH) is notably high and potentially elevates the likelihood of depressive symptoms. This study was designed to employ both cross-sectional and longitudinal methodologies to explore the correlation between LUTS/BPH and depressive symptoms among middle-aged and elderly men in China. METHODS: This investigation utilized data from the China Health and Retirement Longitudinal Study (CHARLS), with the initial dataset from 2015 serving as the baseline and subsequent data from 2018 and 2020 facilitating longitudinal analysis. The study encompassed a baseline cohort of 5156 men aged 45 years and above, and an expansive longitudinal analytical sample of 23,530 participants spanning from 2015 to 2020. The assessment of depressive symptoms was conducted using the 10-item Center for Epidemiological Studies Depressive Symptoms Scale (CESD-10). To investigate the factors associated with LUTS/BPH, the relationship between LUTS/BPH and depressive symptoms, and to evaluate the incidence rate of depressive symptoms onset based on LUTS/BPH status, multivariate logistic analyses and logistic regression models were employed. RESULTS: Our results reveal a markedly higher incidence of depressive symptoms among individuals with LUTS/BPH, at 30.16 %, compared to 22.94 % in those without LUTS/BPH. This pattern was consistent in both mild and moderate depressive symptoms categories. However, the prevalence of severe depressive symptoms did not exhibit a significant disparity between the two groups. Longitudinal analysis spanning from 2015 through 2018 and 2020 further corroborated these observations. Individuals with LUTS/BPH showed a substantially higher incidence of depressive symptoms across all severity levels compared to those without LUTS/BPH. Specifically, the presence of LUTS/BPH was linked to a 53 % heightened risk of mild depressive symptoms, a 45 % increase in moderate depressive symptoms, and an alarming 229 % surge in severe depressive symptoms risk between 2015 and 2018. Additionally, from 2015 to 2020, there was a 30 % increased risk for mild depressive symptoms, a 41 % rise for moderate depressive symptoms, and a 106 % escalation in the risk of severe depressive symptoms among those with LUTS/BPH. CONCLUSION: In middle-aged and older Chinese adults, LUTS/BPH were correlated with an elevated risk of depressive symptoms.

An automatic diagnostic system for the urodynamic study applying in lower urinary tract dysfunction.

OBJECTIVE: To establish an automatic diagnostic system based on machine learning for preliminarily analysis of urodynamic study applying in lower urinary tract dysfunction (LUTD). METHODS: The eight most common conditions of LUTDs were included in the present study. A total of 527 eligible patients with complete data, from the year of 2015 to 2020, were enrolled in this study. In total, two global parameters (patients' age and sex) and 13 urodynamic parameters were considered to be the input for machine learning algorithms. Three machine learning approaches were applied and evaluated in this study, including Decision Tree (DT), Logistic Regression (LR), and Support Vector Machine (SVM). RESULTS: By applying machine learning algorithms into the 8 common LUTDs, the DT models achieved the AUC of 0.63-0.98, the LR models achieved the AUC of 0.73-0.99, and the SVM models achieved the AUC of 0.64-1.00. For mutually exclusive diagnoses of underactive detrusor and acontractile detrusor, we developed a classification model that classifies the patients into either of these two diseases or double-negative class. For this classification method, the DT models achieved the AUC of 0.82-0.85 and the SVM models achieved the AUC of 0.86-0.90. Among all these models, the LR and the SVM models showed better performance. The best model of these diagnostic tasks achieved an average AUC of 0.90 (0.90 ± 0.08). CONCLUSIONS: An automatic diagnostic system was developed using three machine learning models in urodynamic studies. This automated machine learning process could lead to promising assistance and enhancements of diagnosis and provide more useful reference for LUTD treatment.

SEMA3G functions as a novel prognostic biomarker associated with Wnt pathway in clear cell renal cell carcinoma.

Renal cell cancer (RCC) is one of the most common cancer, and the incidence of clear cell renal cell cancer rank at the first among multiple subtypes of RCC. Tumor heterogeneity and limited therapies expedite researches and studies on prognostic biomarkers and molecular mechanism. SEMA3G mediates various bimolecular processes but few studies have assessed the influence of SEMA3G on ccRCC. The expression of SEMA3G at mRNA level in ccRCC was analyzed using 4 TCGA datasets. The expression at protein level was verified by immunohistochemistry and western blot. Biological pathway was explored by GSEA and western blot. At both mRNA and protein level, SEMA3G expressed significantly lower in ccRCC tissues compared with normal renal tissues, and the expression was highly associated with clinical stage and pathological grade. Low expression of SEMA3G indicated a poorer overall survival and disease specific survival. Transwell and wound-healing assays showed that overexpressed SEMA3G inhibited the cell motility of renal cancer cells. Upregulated SEMA3G suppressed the invasion and proliferation of both 769-P and 786-O cells. Wnt signaling pathway was tested to work in the interfering of SEMA3G on tumorigenesis and progression of ccRCC. The results provide novel insight into the role of SEMA3G in ccRCC, suggesting the prognostic value and potential suppressor role of SEMA3G.

Numerical simulation study on the optimization design of the crown shape of PDC drill bit.

The design of bit crown is an important part of polycrystalline diamond compact (PDC) bit design, although predecessors have done a lot of researches on the design principles of PDC bit crown, the study of the law about rock-breaking energy consumption according to different bit crown shape is not very systematic, and the mathematical model of design is over-simplified. In order to analyze the relation between rock-breaking energy consumption and bit crown shape quantificationally, the paper puts forward an idea to take "per revolution-specific rock-breaking work" as objective function, and analyzes the relationship between rock properties, inner cone angle, outer cone arc radius, and per revolution-specific rock-breaking work by means of explicit dynamic finite element method. Results show that the change law between per revolution-specific rock-breaking work and the radius of gyration is similar for rocks with different properties, it is beneficial to decrease rock-breaking energy consumption by decreasing inner cone angle or outer cone arc radius. Of course, we should also consider hydraulic structure and processing technology in the optimization design of PDC bit crown.

Identification of compounds that inhibit late steps of peptidoglycan synthesis in bacteria.

A screening system is described that can detect and confirm inhibitors of the late steps of cell wall biosynthesis. The primary high through-put screen monitors induction of beta-lactamase following exposure to samples, in an Escherichia coli envA- strain that carries the beta-lactamase gene from Citrobacter freundii on a plasmid. Positive samples were detected from compound libraries, from natural products libraries, and from fractions of natural products crude preparations. These samples were then subjected to in vitro assays that could detect the incorporation of soluble cell wall precursor into Lipid I, Lipid II, and polymerized cell wall, using a TLC system that was very accurate and unambiguous in detecting known cell wall inhibitors. One partially purified sample containing a novel antibacterial agent derived from natural products was found to inhibit the formation of Lipid I (50% inhibition at < or = 62.5 ng/ml), whereas another partially purified sample also derived from natural products inhibited transglycosylation into cell wall polymer (50% inhibition at < or = 10 microg/ml). This screening system proved to be especially useful because it was sufficiently sensitive and robust to detect inhibitors among samples of crude preparations or varying states of purity.