Bladder neck contracture following transurethral surgery of prostate: a retrospective single-center study.

PURPOSE: Bladder neck contracture (BNC) is a rare but intolerant complication after transurethral surgery of prostate. The present study aims to investigate the incidence and risk factors of BNC in patients diagnosed benign prostate hyperplasia (BPH) and following transurethral resection or enucleation of the prostate (TURP/TUEP). METHODS: This retrospective study included 1008 BPH individuals who underwent transurethral surgery of the prostate between January 2017 and January 2022. Patients' demographics, medical comorbidities, urologic characteristics, perioperative parameters, and the presence of BNC were documented. Univariate and multivariate analyses were conducted to identify the risk factors. RESULTS: A total of 2% (20/1008) BPH patients developed BNC postoperatively and the median occurring time was 5.8 months. Particularly, the incidences of BNC were 4.7% and 1.3% in patients underwent Bipolar-TURP and TUEP respectively. Preoperative urinary tract infection (UTI), elevated PSA, smaller prostate volume (PV), bladder diverticulum (BD), and B-TURP were significantly associated with BNC in the univariate analysis. Further multivariate logistic regression demonstrated preoperative UTI (OR 4.04, 95% CI 2.25 to 17.42, p < 0.001), BD (OR 7.40, 95% CI 1.83 to 31.66, p < 0.001), and B-TURP (OR 3.97, 95% CI 1.55 to 10.18, p = 0.004) as independent risk factors. All BNC patients were treated with transurethral incision of the bladder neck (TUIBN) combined with local multisite injection of betamethasone. During a median follow-up of 35.8 months, 35% (7/20) of BNC patients recurred at a median time of 1.8 months. CONCLUSION: BNC was a low-frequency complication following transurethral surgery of prostate. Preoperative UTI, BD, and B-TURP were likely independent risk factors of BNC. TUIBN combined with local multisite injection of betamethasone may be promising choice for BNC treatment.

Adaptive Clustering for Point Cloud.

The point cloud segmentation method plays an important role in practical applications, such as remote sensing, mobile robots, and 3D modeling. However, there are still some limitations to the current point cloud data segmentation method when applied to large-scale scenes. Therefore, this paper proposes an adaptive clustering segmentation method. In this method, the threshold for clustering points within the point cloud is calculated using the characteristic parameters of adjacent points. After completing the preliminary segmentation of the point cloud, the segmentation results are further refined according to the standard deviation of the cluster points. Then, the cluster points whose number does not meet the conditions are further segmented, and, finally, scene point cloud data segmentation is realized. To test the superiority of this method, this study was based on point cloud data from a park in Guilin, Guangxi, China. The experimental results showed that this method is more practical and efficient than other methods, and it can effectively segment all ground objects and ground point cloud data in a scene. Compared with other segmentation methods that are easily affected by parameters, this method has strong robustness. In order to verify the universality of the method proposed in this paper, we test a public data set provided by ISPRS. The method achieves good segmentation results for multiple sample data, and it can distinguish noise points in a scene.

Method to Solve Underwater Laser Weak Waves and Superimposed Waves.

With the rapid development of Lidar technology, the use of Lidar for underwater terrain detection has become feasible. There is still a challenge in the process of signal resolution: the underwater laser echo signal is different to propagating in the air, and it is easy to produce weak waves and superimposed waves. However, existing waveform decomposition methods are not effective in processing these waveform signals, and the underwater waveform signal cannot be correctly decomposed, resulting in subsequent data-processing errors. To address these issues, this study used a drone equipped with a 532 nm laser to detect a pond as the study background. This paper proposes an improved inflection point selection decomposition method to estimate the parameter. By comparing it with other decomposition methods, we found that the RMSE is 2.544 and R2 is 0.995975, which is more stable and accurate. After estimating the parameters, this study used oscillating particle swarm optimization (OPSO) and the Levenberg-Marquardt algorithm (LM) to optimize the estimated parameters; the final results show that the method in this paper is closer to the original waveform. In order to verify the processing effect of the method on complex waveform, this paper decomposes and optimizes the simulated complex waveforms; the final RMSE is 0.0016, R2 is 1, and the Gaussian component after decomposition can fully represent the original waveform. This method is better than other decomposition methods in complex waveform decomposition, especially regarding weak waves and superimposed waves.

Uncovering the Metabolic Mechanism of Salidroside Alleviating Microglial Hypoxia Inflammation Based on Microfluidic Chip-Mass Spectrometry.

Microglia are the main immune cells in the brain playing a critical role in neuroinflammation, and numerous pieces of evidence have proved that energy metabolism is closely associated with inflammation in activated microglia. Salidroside (Sal) isolated from Tibetan medicine Rhodiola crenulate can inhibit microglial hypoxia inflammation (HI). However, whether the inhibition is due to the intervening energy metabolic process in microglia is not clear. In this work, the hypoxic microenvironment of BV2 microglial cells was simulated using deferoxamine (DFO) in vitro and the change of cell metabolites (lactate, succinate, malate, and fumarate) was real-time online investigated based on a cell microfluidic chip-mass spectrometry (CM-MS) system. Meanwhile, for confirming the metabolic mechanism of BV2 cells under hypoxia, the level of HI-related factors (LDH, ROS, HIF-1α, NF-κB p65, TNF-α, IL-1ß, and IL-6) was detected by molecular biotechnology. Integration of the detected results revealed that DFO-induced BV2 cell HI was associated with the process of energy metabolism, in which cell energy metabolism changed from oxidative phosphorylation to glycolysis. Furthermore, administration of Sal treatment could effectively invert this change, and two metabolites of Sal were identified: tyrosol and 4-hydroxyphenylacetic acid. In general, we illustrated a new mechanism of Sal for reducing BV2 cell HI injury and presented a novel analysis strategy that opened a way for real-time online monitoring of the energy metabolic mechanism of the effect of drugs on cells and further provided a superior strategy to screen natural drug candidates for HI-related brain disease treatment.

Development and validation of a nomogram for predicting early stress urinary incontinence following endoscopic enucleation of the prostate.

PURPOSE: To develop and validate a predictive nomogram for early stress urinary incontinence (SUI) after endoscopic enucleation of the prostate (EEP) in patients with benign prostatic hyperplasia (BPH). METHODS: The records of 458 patients who underwent plasmakinetic- or diode-based EEP at our center from March 2016 to December 2019 were reviewed. Among these, 326 and 132 cases were randomly assigned to the training and validation set, respectively. A predictive nomogram was constructed based on multivariate logistic regression analysis. Receiver operating characteristic (ROC) analysis and calibration curves were employed to evaluate its performance. RESULTS: 65 years ≤ age < 70 years, 75 years ≤ age, 25 kg/m2 ≤ BMI < 30 kg/m2, 30 kg/m2 ≤ BMI, 5 years ≤ LUTS duration, and 75 ml ≤ prostate volume were finally selected as independent predictors of early SUI into the multivariate logistics regression model. It was visualized as a concise nomogram with satisfactory discrimination and accuracy in both training and validation sets. CONCLUSIONS: A concise nomogram was developed and validated as a useful clinical tool for predicting early SUI post-EEP.

To Elucidate the Inhibition of Excessive Autophagy of Rhodiola crenulata on Exhaustive Exercise-Induced Skeletal Muscle Injury by Combined Network Pharmacology and Molecular Docking.

Autophagy can remodel skeletal muscle in response to exercise. However, excessive autophagy can have adverse effects on skeletal muscle. Although Rhodiola crenulata (R. crenulata) is thought to regulate autophagy, its active ingredients and mechanisms of action remain unclear. In this study, molecular docking and network pharmacology were used to screen for autophagy-related targets of R. crenulata. Subsequently, protein-protein interaction (PPI) analysis was used to find the relationships between the inverse docking targets and autophagy-related targets and therefore highlight the key targets. And then the Database for Annotation, Visualization, and Integrated Discovery (DAVID) database was recruited to explain the functions and enrichment pathways of the target proteins. Finally, the potential targets were validated by immunohistochemistry of a mouse model of exhaustive exercise-induced skeletal muscle injury. We found a network of 15 major constituents of R. crenulata with 30 autophagy-related and 105 inverse-docking targets by molecular docking and network pharmacology. The results of PPI analysis indicated that 16 inverse-docking targets interacted 8 autophagy-related proteins. Further pathway analysis showed that R. crenulata could regulate exercise-induced skeletal muscle autophagy through mammalian target of rapamycin (mTOR), AMP activated protein kinase (AMPK) and Forkhead box protein O (FoxO). The results of our animal experiments indicated that R. crenulata could suppress the expression of Ubiquitin-like protein ATG12 (ATG12), Beclin-1 (BECN1), and Serine/threonine-protein kinase ULK1 (ULK1), while increasing the expression of MTOR, NAD-dependent protein deacetylase sirtuin-1 (SIRT1), and Microtubule-associated protein tau (MAPT). In conclusion, this study demonstrated that R. crenulata may protect skeletal muscle injury induced by exhaustive exercise via regulating the mTOR, AMPK, and FoxO singling pathway.

Total flavonoids from sea buckthorn ameliorates lipopolysaccharide/cigarette smoke-induced airway inflammation.

The total flavonoids from sea buckthorn (TFSB) exhibit a potent anti-inflammatory activity; however, the effect of TFSB on respiratory inflammatory disease is not fully known. The present study evaluated the potential of TFSB to prevent airway inflammation and the underlying mechanism. The results showed that TFSB remarkably inhibited lipopolysaccharide/cigarette smoke extract (LPS/CSE)-induced expression of IL-1ß, IL-6, CXCL1, and MUC5AC at both mRNA and protein levels in HBE16 bronchial epithelial cells. TFSB also decreased the production of PGE2 through inhibition the expression of COX2 in LPS/CSE-stimulated HBE16 cells. Furthermore, bronchoalveolar fluid and histological analyses revealed that LPS/cigarette smoke exposure-induced elevated cell numbers of neutrophils and macrophages in bronchoalveolar fluid, inflammatory cell infiltration, and airway remodeling were remarkably attenuated by TFSB in mice. Immunohistochemical results also confirmed that TFSB decreased the expression of IL-1ß, IL-6, COX2, CXCL1, and MUC5AC in LPS/CS-exposed mice. Mechanistically, TFSB blocked LPS/CSE-induced activation of ERK, Akt, and PKCα. Molecular docking further confirmed that the main components in TFSB including quercetin and isorhamnetin showed potent binding affinities to MAPK1 and PIK3CG, two upstream kinases of ERK and Akt, respectively. In summary, TFSB exerts a potent protective effect against LPS/CS-induced airway inflammation through inhibition of ERK, PI3K/Akt, and PKCα pathways, suggesting that TFSB may be a novel therapeutic agent for respiratory diseases.

Metabolic Discrimination of Different Rhodiola Species Using 1H-NMR and GEP Combinational Chemometrics.

Rhodiola is widely consumed in traditional folk medicine and nutraceuticals. To establish a procedure for the hydrogen (1H)-NMR spectroscopic fingerprinting of secondary metabolites from three different Rhodiola species, the variation among three Rhodiola species were studied using 1H-NMR metabolomics combined with multivariate data analysis. Gene expression programming (GEP) was used to generate a formula to distinguish Rhodiola crenulata from two other Rhodiola species. Finally, HPLC was used to demonstrate the results. Same metabolites were compared by quantitative 1H-NMR (qNMR). Three Rhodiola species were clearly discriminated by 1H-NMR fingerprinting involved 22 nuclear magnetic signals of chemical constituents. y = d166 × 2 + C1 + d56 + d236 - d128 × C2 can be used to distinguish R. crenulata from two other Rhodiola species by GEP. The gallic acid concentration in R. crenulata was significantly higher than in the other. Rhodiola species as was the level of salidroside. R. crenulata also exhibited substantially higher levels of α-glucose. The fatty acid level in Rhodiola kirilowii was lower than the other species. These findings demonstrated that 1H-NMR fingerprinting combined with principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), hierarchical cluster analysis (HCA) and GEP can be used to distinguish different Rhodiola species and these methods were applicable and effective approaches for metabolic analysis, species differentiation, and quality assessment. In addition, gallic acid, salidroside, α-D-glucose, glycine, alanine, caffeic acid and tyrosol and are the discriminators.

[Correlation study on Tibetan medicine Pterocephalus hookeri of bitter taste receptors based on molecular docking technology].

In order to study the interaction between Pterocephalus hookeri and bitter taste receptors,three-dimensional structural models of bitter taste receptors TAS2 R16,TAS2 R14 and TAS2 R13 were established by homology modeling in this paper. Maestro software was used for docking the chemical constituents of P. hookeri with bitter taste receptors. The results showed that 25 chemical components of P. hookeri can regulate three bitter taste receptors. And these components were mainly iridoid glycosides and phenolic acids.This research focused on the comprehensive application of homology modeling and molecular docking technology to explore the interaction between bitter chemical constituents of P. hookeri and bitter taste receptors. This study provided assistance in revealing pharmacodynamic basis of bitter Tibetan medicine at molecular level. It also provided new ideas and methods for the study of Tibetan medicine.

Lipopolysaccharide stimulates BK channel activity in bladder umbrella cells.

Bladder urothelium plays an active role in response to bacterial infection. There is little known about the electrophysiological activity in urothelial cells in this process. We used a nonenzymatic method to isolate bladder urothelial tissue and to patch clamp umbrella cells in situ. A 200 pS conductance potassium (K+) channel was detected from female C57BL6 mice. Of 58 total patches, 17.2% patches displayed the 200 pS K+ conductance channel. This K+ conductance channel showed Ca2+ sensitivity and voltage dependence. Specific big-conductance potassium channel (BK) inhibitors (paxilline, iberiotoxin) blocked the 200 pS K+ conductance channel activity. RT-PCR and immunoblot confirmed BK channel pore-forming α-subunit (BK-α) mRNA and protein in urothelium. Immunohistochemistry also showed the BK-α located in urothelium. The above data provided evidence that the 200 pS K+ conductance channel was a BK channel. Lipopolysaccharide (LPS), a component of uropathogenic Escherichia coli, was used to investigate the role of BK channel in the pathogenesis of urinary tract infection. BK channel activity as NPo increased threefold within 30 min of exposure to LPS. mRNAs for LPS receptors (TLR4, CD14, MD-2) were expressed in the urothelium but not in lamina propria or detrusor. Blockade of the receptors by an antagonist (polymyxin B) abrogated LPS's effect on BK channel. The involvement of protein kinase A (PKA) on BK channel activity was demonstrated by applying PKA blockers (H89 and PKI). Both PKA inhibitors abolished the BK channel activity induced by LPS. In conclusion, BK channel was identified in bladder umbrella cells, and its activity was significantly increased by LPS.

VHL-TGFBI signaling is involved in the synergy between 5-aza-2'-deoxycytidine and paclitaxel against human renal cell carcinoma.

PURPOSE: To analyse the role of von Hippel-Lindau (VHL) and transforming growth factor ß-induced (TGFBI) in synergistic mechanisms of 5-aza-2'-deoxycytidine (DAC) and paclitaxel (PTX) against renal cell carcinoma (RCC). METHODS: To elucidate the role in the synergy between DAC and PTX against RCC cells, TGFBI expression was regulated using siRNA technology and an expression vector containing the full-length cDNA for TGFBI was also transfected into RCC cells. The proliferation of RCC cells was evaluated using the WST-1 assay and TGFBI expression was detected by real-time PCR (RT-PCR), and Western blot. RESULTS: The results indicated that the expression of TGFBI was significantly decreased by DAC or PTX alone in vitro and in vivo. Moreover, the combination of DAC and PTX caused a synergistic decrease in the expression of TGFBI in RCC cells. We also investigated the effect of VHL-TGFBI signaling on the synergy between DAC and PTX, although the synergy between the two medications was not abolished by interfering with VHL activity or TGFBI expression. RCC cells without VHL activity and RCC cells expressing high levels of TGFBI displayed an increased synergistic effect compared to control cells. CONCLUSION: Our study suggests that VHL-TGFBI signaling is involved in the synergy between DAC and PTX against RCC cells. In addition, the synergy between DAC and PTX is more effective in VHL inactive RCC cells.

VHL-TGFBI signaling is involved in the synergy between 5-aza-2'-deoxycytidine and paclitaxel against human renal cell carcinoma.

PURPOSE: To analyse the role of von Hippel-Lindau (VHL) and transforming growth factor ß-induced (TGFBI) in synergistic mechanisms of 5-aza-2'-deoxycytidine (DAC) and paclitaxel (PTX) against renal cell carcinoma (RCC). METHODS: To elucidate the role in the synergy between DAC and PTX against RCC cells, TGFBI expression was regulated using siRNA technology and an expression vector containing the full-length cDNA for TGFBI was also transfected into RCC cells. The proliferation of RCC cells was evaluated using the WST-1 assay and TGFBI expression was detected by real-time PCR (RT-PCR), and Western blot. RESULTS: The results indicated that the expression of TGFBI was significantly decreased by DAC or PTX alone in vitro and in vivo. Moreover, the combination of DAC and PTX caused a synergistic decrease in the expression of TGFBI in RCC cells. We also investigated the effect of VHL-TGFBI signaling on the synergy between DAC and PTX, although the synergy between the two medications was not abolished by interfering with VHL activity or TGFBI expression. RCC cells without VHL activity and RCC cells expressing high levels of TGFBI displayed an increased synergistic effect compared to control cells. CONCLUSIONS: Our study suggests that VHL-TGFBI signaling is involved in the synergy between DAC and PTX against RCC cells. In addition, the synergy between DAC and PTX is more effective in VHL inactive RCC cells.

[Endangered situation and conservation strategy of Tibetan medicine in Qinghai-Tibet Plateau].

With the rapid development of Tibetan medicine industry, the study on plateau medicinal plants' endangered status is not enough, measures to protect is weak and the plateau ecological environment' inherent vulnerability, resulted in the shortage of Tibetan medicinal resources and affect the sustainable development . According to the existing endangered information of Tibetan medicine resources, how to formulate feasible protection plan, is an urgent problem of the rational development and utilization of Tibetan medicine resources to be solved. To find out the endangered Tibetan medicines in Qinghai Tibet Plateau, the Grade division method of Chinese Rare and Endangered Plants was applied, the endangered species were sorted out, which divided into class one (threatened) eleven species, class two (rare) twenty-one species, and class three (fading) forty-two species,a total of seventy-four species.In addition to national protection list in "Chinese rare and endangered plants". It's proposed to increase the endangered Tibetan medicinal species. Finally, according to the endangered status of the resources,from the survey of endangered Tibetan medicinal species regularly, the germplasm repository establishment of endangered Tibetan medicine, in situ conservation, artificial cultivation research and renew the idea, reasonable development and utilization, a total of 5 aspects to discussed the protection strategy, to provide a scientific basis for the protection and sustainable utilization of Tibetan medicine resources in Qinghai-Tibet Plateau.

[Research progress on resources and quality evaluation of Tibetan medicine in Qinghai-Tibet Plateau].

With the development of Tibetan medicine industry, the demands for Tibetan medicine were rising sharply. In addition, with the eco-environment vulnerability of Qinghai-Tibet Plateau region and the phenomenon of synonymies and homonymies in Tibetan medicine, there were a lack of resources and varieties in the clinical application of Tibetan medicine. At present, the shortage of Tibetan medicine and the inadequacy of its quality standard have become the two major problems that seriously restricted the sustainable development of Tibetan medicine industry. Therefore, it is important to develop the resources investigation and quality evaluation for Tibetan medicine, which were contribute to its resources protection and sustainable utilization. In this paper, current status of resources investigation, quality standardization, artificial breeding and germplasm resources of Tibetan medicine were presented by the integrated application of the new technologies, such as DNA barcoding and 1H-NMR, which provided a reference information for resources protection, sustainable utilization, variety identification and quality standardization of Tibetan medicine resources in Qinghai-Tibet Plateau.

[Research on origin, property and efficacy of Tibetan medicine "Dida"].

Tibetan medicine "Dida" isoccasionally misused due to its complex origins, which ultimately affects its clinical efficacy. The accurate name, origin, property, and efficacy of "Dida"are highly important for its further research and development. In the present study, by viewing the classic Tibetan medicine and modern literature, and combining the clinical practice of Tibetan medicine, the origins, properties and the clinic effects of "Dida" were defined. "Dida" originated from multiple plant species of Swertia, Gentianopsis, Halenia, Lomatogonium, Comastoma(Gentianaceae), Hedyotis (Saxifragaceae) and Erysimum (Cruciferae). The medicinal properties of "Dida" is mainly bitter and cold. It has been commonly used to treat febrile diseases and hepatic and gall diseases. This study suggested that the relevant herbalogical study, species identification and pharmacological effects of "Dida" should be taken based on the Tibetan medicine theories and clinical practice. Thus the medicine can be better used and ensure its safety and quality simultaneously.

Study of andrographolide bioactivity against Pseudomonas aeruginosa based on computational methodology and biochemical analysis.

Andrographolide is one of the main biologically active molecules isolated from Andrographis paniculata (A. paniculata), which is a traditional Chinese herb used extensively throughout Eastern Asia, India, and China. Pseudomonas aeruginosa, often known as P. aeruginosa, is a common clinical opportunistic pathogen with remarkable adaptability to harsh settings and resistance to antibiotics. P. aeruginosa possesses a wide array of virulence traits, one of which is biofilm formation, which contributes to its pathogenicity. One of the main modulators of the P. aeruginosa-controlled intramembrane proteolysis pathway is AlgW, a membrane-bound periplasmic serine protease. In this work, we have used a set of density functional theory (DFT) calculations to understand the variety of chemical parameters in detail between andrographolide and levofloxacin, which show strong bactericidal activity against P. aeruginosa. Additionally, the stability and interaction of andrographolide and levofloxacin with the protein AlgW have been investigated by molecular docking and molecular dynamics (MD) simulations . Moreover, the growth and inhibition of biofilm production by P. aeruginosa experiments were also investigated, providing insight that andrographolide could be a potential natural product to inhibit P. aeruginosa.

Single-Plane Retroperitoneoscopic Adrenalectomy Guided by Indocyanine Green Dye: An Optimized Step.

Background: The objective of this study was to explore the perioperative outcomes of single-plane posterior retroperitoneoscopic adrenalectomy (SPRA) guided by indocyanine green dye (ICG) fluorescence imaging. Methods: A retrospective analysis of patients who underwent SPRA from April to September 2023 in our center was conducted. Patients were divided into the ICG group and the non-ICG group, based on whether they received intraoperative ICG fluorescence guided or not. Baseline and perioperative data were recorded and analyzed by R software (R 4.3.1). Results: A total of 23 patients were enrolled in the study, with 12 in the ICG group and 11 in the non-ICG group. The demographics including age, gender, body mass index, or American Society of Anesthesiologists classification showed no significant differences between groups. There were obvious advantages in shortening adrenal gland localization time and total operative time, as well as reducing estimated blood loss in the ICG group compared with the non-ICG group (5.58 ± 0.36 minutes vs 7.55 ± 0.62 minutes, p < 0.001; 27.50 ± 5.46 minutes vs 45.00 ± 10.99 minutes, p < 0.001; 22.91 ± 7.57 mL vs 54.54 ± 18.90 mL, p < 0.001; respectively). Furthermore, patients in the ICG group exhibited significantly lower visual analog pain scale scores at 24 hours postoperatively and at discharge (p = 0.001 and p = 0.006, respectively). The oral intake intervals, hospital stays, and perioperative complications were comparable between groups. Conclusions: ICG-guided SPRA could be a safe and effective procedure for patients with adrenal tumors. This technique improves the accuracy and efficacy of adrenal gland localization and has shown benefits in perioperative outcomes. The use of ICG fluorescence guidance represents a promising clinical application.

Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics.

Active surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying patients who may benefit from AS relies on unpleasant prostate biopsies, which entail the risk of bleeding and infection. In the current study, we aimed to develop a radiomics model based on prostate magnetic resonance images to identify AS candidates non-invasively. A total of 956 PCa patients with complete biopsy reports from six hospitals were included in the current multicenter retrospective study. The National Comprehensive Cancer Network (NCCN) guidelines were used as reference standards to determine the AS candidacy. To discriminate between AS and non-AS candidates, five radiomics models (i.e., eXtreme Gradient Boosting (XGBoost) AS classifier (XGB-AS), logistic regression (LR) AS classifier, random forest (RF) AS classifier, adaptive boosting (AdaBoost) AS classifier, and decision tree (DT) AS classifier) were developed and externally validated using a three-fold cross-center validation based on five classifiers: XGBoost, LR, RF, AdaBoost, and DT. Area under the receiver operating characteristic curve (AUC), accuracy (ACC), sensitivity (SEN), and specificity (SPE) were calculated to evaluate the performance of these models. XGB-AS exhibited an average of AUC of 0.803, ACC of 0.693, SEN of 0.668, and SPE of 0.841, showing a better comprehensive performance than those of the other included radiomic models. Additionally, the XGB-AS model also presented a promising performance for identifying AS candidates from the intermediate-risk cases and the ambiguous cases with diagnostic discordance between the NCCN guidelines and the Prostate Imaging-Reporting and Data System assessment. These results suggest that the XGB-AS model has the potential to help identify patients who are suitable for AS and allow non-invasive monitoring of patients on AS, thereby reducing the number of annual biopsies and the associated risks of bleeding and infection.

DFT studies of solvent effect in hydrogen abstraction reactions from different allyl-type monomers with benzoyl radical.

Inert allyl-type monomers have been widely documented due to reduce degradation chain transfer. Recently, we and others discovered that the [3 + 2] cyclization reaction process by a photo-driven radical reaction, which can accelerate the polymerization. It was discovered that allyl ether monomers had much higher reactivity than other allyl monomers in the suspension photopolymerization initiated by Type I photoinitiator. Since the hydrogen abstraction reaction (HAR) is the initial step of cyclization, and in order to clarify the influence of solvents effect, three allyl-type monomers were employed, containing "O", "N" and "S" atom as hydrogen donors. The benzoyl radical obtained from cleavage of photoinitiator was chosen as hydrogen acceptors. We explored the hydrogen abstraction reaction in different solvents (methanol, water and DMSO) by quantum chemistry for geometry and energy. An investigation was undertaken regarding the structural orbital by electrostatic potential (ESP) and topological analysis (ELF and LOL). The findings were also combined with the distortion model and transition state theory. We obtained the molecular interactions used independent gradient method in the Hirshfeld molecular density partition (IGMH). The Eckart's correction allowed to examine the driving factors of the hydrogen abstraction reaction tunnels and these reactions constant rates are determined in the range of 500-2500 K depending on the modified Arrhenius form in different solvents effect. Our results can provide an answer for the different reactivities.

Alteration of pro-carcinogenic gut microbiota is associated with clear cell renal cell carcinoma tumorigenesis.

Objective: Increasing evidence suggests that gut microbiota is involved in the occurrence and progression of urinary system diseases such as clear cell renal cell carcinoma (ccRCC). However, the mechanism of how alteration of gut metagenome promotes ccRCC remains unclear. Here we aim to elucidate the association of specific gut bacteria and their metabolites with ccRCC. Methods: In a pilot case-control study among 30 ccRCC patients (RCC group) and 30 healthy controls (Control group), 16S ribosomal RNA (rRNA) gene sequencing were analyzed from fecal samples collected prior to surgery or hospitalization. Alpha diversity and beta diversity analysis of the gut microbiota were performed, and differential taxa were identified by multivariate statistics. Meanwhile, serum metabolism was measured by UHPLC-MS, and differential genes were identified based on the TCGA database. Results: Alpha diversity found there were no significant microbial diversity differences of gut microbiota between the RCC group and the Control group. However, beta diversity analysis showed that the overall structures of the two groups were significantly separated (p = 0.008). Random Forests revealed the relative abundances of 20 species differed significantly between the RCC group and the Control group, among which nine species were enriched in the RCC group such as Desulfovibrionaceae, and 11 species were less abundant such as four kinds of Lactobacillus. Concomitantly, serum level of taurine, which was considered to be consumed by Desulfovibrionaceae and released by Lactobacillus, has decreased in the RCC group. In addition, macrophage-related genes such as Gabbr1 was upregulated in ccRCC patients. Conclusion: Reduction of protective bacteria, proliferation of sulfide-degrading bacteria Desulfovibrionaceae, reduction of taurine, and enrichment of macrophage related genes might be the risk predictors of ccRCC.