Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Our previous research demonstrated that the Wenxia Changfu Formula (WCF), as a neoadjuvant therapy, inhibits M2 macrophage infiltration in the tumor microenvironment and prevents lung cancer metastasis. Given tumor-associated macrophages (TAMs) in epithelial-mesenchymal transition (EMT), this study investigated whether WCF impedes lung cancer metastasis by attenuating TAM-induced EMT in non-small cell lung cancer (NSCLC) cells. Utilizing a co-culture model treated with or without WCF, we observed that WCF downregulated cluster of differentiation 163 (CD163) expression in macrophages, reduced CCL18 levels in the conditioned medium, and inhibited the growth, invasion, and EMT of NSCLC cells induced by macrophage co-culture. Manipulation of CCL18 levels and Src overexpression in NSCLC cells revealed that WCF's effects are mediated through CCL18 and Src signaling. In vivo, WCF inhibited recombinant CCL18 (rCCL18)-induced tumor metastasis in nude mice by blocking Src signaling. These findings indicate that WCF inhibits NSCLC metastasis by impeding TAM-induced EMT via antagonistic modulation of CCL18, providing evidence for its potential development and clinical application in NSCLC patients.
Epithelial-Mesenchymal Transition/drug effects* ; Carcinoma, Non-Small-Cell Lung/metabolism* ; Humans ; Animals ; Lung Neoplasms/metabolism* ; Chemokines, CC/antagonists & inhibitors* ; Mice ; Mice, Nude ; Drugs, Chinese Herbal/administration & dosage* ; Cell Line, Tumor ; Neoplasm Metastasis ; Tumor-Associated Macrophages/drug effects* ; Mice, Inbred BALB C ; Signal Transduction/drug effects*

Objective To understand the infectious pathogen characteristics and drug sensitivity of hospitalized patients in the respiratory intensive care unit (RICU) of Renmin Hospital of Wuhan University. Methods Bacterial culture samples sent to the RICU of our hospital from January 2020 to December 2022 were retrospectively analyzed. The bacterial types were identified by Bruker mass spectrometer, and the Phoenix 100 was used for drug sensitivity analysis. The antimicrobial susceptibility was analyzed by WHONET 5.6 software. Results A total of 1 157 strains of bacteria were isolated, including 878 strains of Gram-negative bacteria (75.89%) and 279 strains of Gram-positive bacteria (24.11%). The top five with the highest detection rate were Acinetobacter baumannii (25.50%), Pseudomonas aeruginosa (18.76%), Klebsiella pneumoniae (13.83%), Staphylococcus aureus (6.57%) and Escherichia coli (5.70%). Among them, Acinetobacter baumannii was extremely drug-resistant, only showing relatively high sensitivity to colistin, minocycline, and tigecycline. Staphylococcus aureus accounted for the highest proportion of Gram-positive bacteria (6.57%), with methicillin-resistant Staphylococcus (MRSA) showing a continuous increase. Conclusion In the past three years, Gram-negative bacteria have been the main pathogenic bacteria detected in the respiratory intensive care unit of our hospital. The main bacteria are Acinetobacter baumannii, Pseudomonas aeruginosa, and Klebsiella pneumoniae, which have a high resistance rate to various antibiotics. Therefore, clinical monitoring of resistant strains in RICU should be strengthened to facilitate rational use of antibiotics and improve antibacterial effect.

Objective To investigate the characteristics of body fluid metabolic profile in patients with kidney stones based on surface-enhanced Raman spectroscopy,and to explore its application value and provide a reference for the screening of patients with kidney stones.Methods A total of 25 patients with kidney stones and 25 healthy controls were involved.Urine and blood samples were collected,whose spectra were measured with surface-enhanced Raman spectroscopy.The mean and difference spectra were plotted with origin software.The normalized data were processed with principal component analysis combined with linear discriminant analysis(PCA-LDA).Finally,the performance of the PCA-LDA method was evaluated with the receiver operating characteristic(ROC)curve.Results The levels of phosphatidylinositol,phenylalanine,palmitic acid/fatty acids,etc.in the urine of patients with kidney stones are higher than those in healthy controls,while the levels of components such as uracil and glycogen are lower.The content of methyl bands in the plasma of patients with kidney stones is higher than that of healthy controls,while the contents of glycogen,phosphatidylinositol,protein-tyrosine,phenylalanine,palmitic acid/fatty acid,hydroxyproline/tyrosine,and lipids are lower than those of healthy controls.Conclusion Surface-enhanced Raman spectroscopy can identify the changes in various metabolites in patients with kidney stones,and the combination of PCA-LDA and ROC analysis is helpful for the screening of patients.

ObjectiveTo investigate the effect of Fuhe Decoction （敷和汤） with different doses of Suanzaoren （Ziziphus jujuba） for atopic dermatitis （AD）. MethodsForty-eight female BALB/c mice were randomly divided into normal group， model group， loratadine group， and Fuhe Decoction groups with high， medium， and low doses of Fuhe Decoction （Fuhe Decoction high-， medium-， and low-dose groups）， with eight mice in each group. The AD model was prepared by continuous stimulation with 2，4-dinitrofluorobenzene （DNFB） in all groups but the normal group. After modelling， the Fuhe Decoction high-， medium- and low-dose groups were given 24， 18 and 15 g/（kg·d） of Fuhe Decoction， the loratadine group was given 0.001 g/（kg·d） of loratadine dry suspension， and the normal group and the model group were given 10 ml/（kg·d） of normal saline by gavage. All groups were gavaged for 14 days. The number of scratches within 10 min and the score of skin lesions were observed on the 7th and 14th days of modelling and on the 7th and 14th days of drug administration， respectively； serum immunoglobulin E （IgE） was detected by ELISA； the histopathological and morphological changes of the skin were observed by HE staining； and the diversity and abundance of intestinal flora were detected by 16S rRNA sequencing of fecal matter from the colon of the mice. ResultsCompared with the normal group， mice in the model group on the 7th day and the 14th day of modelling and the 7th day， the 14th day of gavage showed increased scratching within 10 min and higher skin lesion scores （P＜0.05）， with hyperkeratotic or incomplete epidermis， marked thickening of spiny cells， and a large number of inflammatory cells infiltrated in the mice after gavage； serum levels of IgE elevated （P＜0.05）， and the abundance of Bacillota decreased， that of the Bacteroidota and bacteria elevated， and relative abundance of Lactobacillus spp. and Prevotella spp. decreased， and relative abundance of Anaplasma spp. and Treponema spp. increased （P＜0.05）. Compared with the model group， the number of scratches within 10 min and the skin lesion scores of mice in the loratadine group and the Fuhe Decoction medium- and high-dose groups decreased on the 7th day and the 14th day of gavage （P＜0.05）， serum IgE reduced， and the bacteria reduced in the loratadine group， the abundance of Bacteroidesmus spp. increased and Bacteriodesmus spp. decreased in the medium-dose group of Fuhe Decoction， the abundance of Bacteriodesmus spp. decreased in the loratadine group， the abundance of Bacteriodesmus spp. decreased， and that of both Lactobacillus spp. and Prevotella spp. increased in Fuhe Decoction medium-dose group （P＜0.05）. Compared with the loratadine group， the skin lesion scores increased in Fuhe Decoction low-dose group， and the number of scratching increased in the Fuhe Decoction low- and high-dose groups on the 7th day and the 14th day of gavage； the IgE content increased in Fuhe Decoction low-dose group， the Bacillota increased and the Bacteroidota decreased， the Lactobacillus spp. and Prevotella spp. increased in Fuhe Decoction middle-dose group， and Anopheles spp. increased in Fuhe Decoction high-dose group after gavage （P＜0.05）. ConclusionFuhe Decoction can improve the clinical symptoms of AD， regulate the relative abundance of intestinal flora to correct the disorders of the bacterial flora， among which the effect of Fuhe Decoction medium-dose group is optimal and comparable to that of the loratadine group， and the reduction of serum IgE inflammatory response may be one of its mechanisms of action.

Objective To analyze the mechanism of Huangwu Ganfu Ointment in relieving pain of knee osteoarthritis(KOA)based on network pharmacology;To verify it in animal experiments.Methods The active components of Huangwu Ganfu Ointment were obtained by TCMSP database,PubChem database and SwissADME platform,the effective components were screened,and the targets were obtained from SEA database.KOA disease-related targets were obtained from GeneCards,OMIM and other databases,and the intersection targets were obtained.A effective component-target-disease network was constructed using Cytoscape 3.9.0 Software.Protein-protein interaction(PPI)network was constructed by STRING database and core targets were screened.GO and KEGG enrichment analysis of intersection targets were analyzed using DAVID platform.The KOA rat model with cold and damp syndrome was established,and the intervention of Huangwu Ganfu Ointment was carried out.The efficacy was observed and the core target expressions were detected.Results Totally 104 effective components were screened from Huangwu Ganfu Ointment,and 59 potential targets were obtained for treating KOA.PPI network interaction analysis obtained the important targets of IL6,IL1B and PTGS2.KEGG enrichment results showed that Huangwu Ganfu Ointment may involve 84 signaling pathways such as IL-17,TNF,TRP and NF-κB in the treatment of KOA,most of which were related to inflammation.The results of animal experiments showed that Lecuesne MG scores increased in the model rats(P<0.05),and paw withdrawal threshold(PWT)significantly decreased(P<0.05).Compared with model group,PWT in Huangwu Ganfu Ointment medium-and high-dosage groups were significantly recovered,and synovitis Krenn score decreased(P<0.05).The Mankin score of cartilage tissue of Huangwu Ganfu Ointment high-dosage group decreased(P<0.05).The contents of IL-6 and IL-1β in all Huangwu Ganfu Ointment groups decreased(P<0.01).Huangwu Ganfu Ointment medium-and high-dosage groups could down-regulate the expression of TRPV1 protein(P<0.05,P<0.01).Conclusion The mechanism of Huangwu Ganfu Ointment in alleviating the pain of KOA may be related to reducing inflammatory response,reducing the release of inflammatory factors of IL-1β and IL-6,alleviating inflammatory pain sensitivity of KOA,and down-regulating the expression level of TRPV1.