Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Ursodeoxycholic acid (UDCA) is a naturally occurring, low-toxicity, and hydrophilic bile acid (BA) in the human body that is converted by intestinal flora using primary BA. Solute carrier family 7 member 11 (SLC7A11) functions to uptake extracellular cystine in exchange for glutamate, and is highly expressed in a variety of human cancers. Retroperitoneal liposarcoma (RLPS) refers to liposarcoma originating from the retroperitoneal area. Lipidomics analysis revealed that UDCA was one of the most significantly downregulated metabolites in sera of RLPS patients compared with healthy subjects. The augmentation of UDCA concentration (≥25 μg/mL) demonstrated a suppressive effect on the proliferation of liposarcoma cells. [¹⁵N₂]-cystine and [¹³C₅]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione (GSH) synthesis. Mechanistically, UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis, leading to reactive oxygen species (ROS) accumulation and mitochondrial oxidative damage. Furthermore, UDCA can promote the anti-cancer effects of ferroptosis inducers (Erastin, RSL3), the murine double minute 2 (MDM2) inhibitors (Nutlin 3a, RG7112), cyclin dependent kinase 4 (CDK4) inhibitor (Abemaciclib), and glutaminase inhibitor (CB839). Together, UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity, and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA. More importantly, in combination with other antitumor chemotherapy or physiotherapy treatments, UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

ObjectiveTo investigate the effect of astragaloside Ⅳ（AS-Ⅳ） on the proliferation of vascular smooth muscle cells（VSMCs） induced by angiotensin Ⅱ（Ang Ⅱ） based on solute carrier family 7 member 11/glutathione peroxidase 4（SLC7A11/GPX4） pathway. MethodsPrimary rat thoracic aortic VSMCs were cultured by tissue explant method， and the cell types were identified by immunofluorescence. Cell counting kit-8（CCK-8） was used to determine the optimal concentration and time of AS-Ⅳ after Ang Ⅱ stimulation. The experiment was divided into blank group， model group， AS-Ⅳ group（40 μmol·L^-1）， Erastin group（0.5 μmol·L^-1）， Erastin+AS-Ⅳ group（0.5 μmol·L^-1+40 μmol·L^-1）. The blank group was cultured in normal medium， the model group was cultured in medium containing Ang Ⅱ（0.1 μmol·L^-1）， and each administration group was cultured in medium containing Ang Ⅱ（0.1 μmol·L^-1） and the corresponding doses of drug. CCK-8 and plate clone formation assay were used to detect the proliferation of cells in each group， Prussian blue staining was used to detect cell iron deposition， the content of reactive oxygen species（ROS） in cells was detected by fluorescence probe method， the content of malondialdehyde（MDA） was detected by thiobarbituric acid（TBA） method， and the protein levels of SLC7A11 and GPX4 in each group were detected by Western blot. ResultsPrimary rat thoracic aortic VSMCs were successfully cultured by tissue explant method， and immunofluorescence detection showed that positive expression of α-smooth muscle actin（α-SMA） and negative expression of vimentin in the cells， identifying them as VSMCs. The optimal concentration and time of AS-Ⅳ determined by CCK-8 were 40 μmol·L^-1 and 24 h， respectively. Pharmacodynamic studies showed that compared with the blank group， the cell proliferation in the model group increased， the iron deposition in the cells increased， the contents of ROS and MDA increased， and the expression levels of SLC7A11 and GPX4 proteins decreased（P<0.05， P<0.01）. Compared with the model group， the cell proliferation of the AS-Ⅳ group was inhibited， the iron deposition in the cells was decreased， the contents of ROS and MDA were decreased， and the expression levels of SLC7A11 and GPX4 proteins were increased（P<0.05， P<0.01）. While in the Erastin group， the cell proliferation was increased， the iron deposition was increased， ROS and MDA contents were increased， and the expression levels of SLC7A11 and GPX4 proteins were decreased（P<0.05， P<0.01）. Compared with the AS-Ⅳ group， Erastin+AS-Ⅳ group showed increased cell proliferation， increased iron deposition in cells， increased ROS and MDA contents， and decreased expression of SLC7A11 and GPX4 proteins（P<0.05）. Compared with the Erastin group， the cell proliferation in Erastin+AS-Ⅳ group was inhibited， the iron deposition was decreased， the contents of ROS and MDA were decreased， and the expression levels of SLC7A11 and GPX4 proteins were increased（P<0.05， P<0.01）. ConclusionAS-Ⅳ can inhibit ferroptosis by regulating the SLC7A11/GPX4 pathway， so as to weaken the proliferation of VSMCs， thus playing a role in the treatment of atherosclerosis.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

ObjectiveTo investigate the syndrome evolution patterns， characteristics of the used herbal medicinals， and efficacy variations across different stages of rheumatoid arthritis （RA） progression. MethodsBased on the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine （CERTAIN）， 2,506 RA patients were retrospectively enrolled and categorized into ＜6 months group （166 cases）， 6 months to ＜5 years group （1063 cases）， 5 to ＜20 years group （1067 cases）， and ≥20 years group （210 cases）. Syndromes were differentiated before and after traditional Chinese medicine （TCM） treatment， including damp-heat obstruction， wind-damp obstruction， cold-damp obstruction， blood stasis obstructed in the collaterals， phlegm-stasis obstruction， liver-kidney insufficiency， qi and blood deficiency， and qi-yin deficiency. The syndrome evolution rate was calculated for high-frequency syndromes before and after treatment. Analysis was conducted on top 20 frequently used Chinese herbs at the first diagnosis. Clinical efficacy of the 28-joint disease activity score based on erythrocyte sedimentation rate （DAS28-ESR） and 28-joint disease activity score based on C-reactive protein （DAS28-CRP） before and after treatment were assessed. A multivariate logistic regression analysis was performed to identify factors affecting the efficacy of TCM treatment. ResultsPatients with course of disease shorter than 6 months predominantly presented with cold-dampness obstruction syndrome （49/166， 29.5%）， wind-dampness obstruction syndrome （46/166， 27.7%）， and dampness-heat obstruction syndrome （43/166， 25.9%）. For patients with course of disease logner than 6 months and shorter than 5 years and those within 5 to 20 years， the dominant syndrome was dampness-heat obstruction syndrome （324/1063， 30.5% and 318/1067， 29.8%， respectively）. In patients with disease duration ≥20 years， liver-kidney insufficiency syndrome and dampness-heat obstruction syndrome both predominated， each accounting for 25.24% （53/210）. The syndromes with more than 100 cases before treatment and a syndrome evolution rate greater than 10% after treatment were dampness-heat obstruction （201/738， 27.2%）， liver-kidney insufficiency （119/367， 32.4%）， and phlegm-stasis obstruction syndromes （73/172， 42.4%）. These were classified as high-frequency syndromes. After treatment， damp-heat obstruction syndrome and liver-kidney insufficiency syndrome primarily evolved into wind-damp obstruction syndrome， while phlegm-stasis obstruction syndrome evolved into damp-heat obstruction and cold-damp obstruction syndrome. The top two commonly used Chinese herbs across all groups were Gancao （Radix et Rhizoma Glycyrrhizae） and Baishao （Radix Paeoniae Alba）. In the ＜6 months group and the 6 months to ＜5 years group， high-frequency herbs also included Fangfeng （Radix Saposhnikoviae）， Duhuo （Radix Angelicae Pubescentis）， Chuanxiong （Rhizoma Chuanxiong）， and Qianghuo （Radix et Rhizoma Notopterygii）. In the 5 to ＜20 years group and the ≥20 years group， the usage of Huangqi （Radix Astragali）， Fuling （Poria）， Niuxi （Radix Achyranthis Bidentatae）， and Danggui （Radix Angelicae Sinensis） increased， while the proportion of Fangfeng and Duhuo decreased. After treatment， the DAS28-ESR and DAS28-CRP scores in all groups significantly decreased （P＜0.05）. There were statistically significant differences in clinical efficacy based on DAS28-ESR and DAS28-CRP across all groups （P＜0.01）. Multivariate logistic regression revealed significantly reduced treatment efficacy in the 6 months-5 years group （OR=0.4）， 5~20 years group （OR=0.5）， and ≥20 years group （OR=0.4） compared to the ＜6 months group. ConclusionRA syndromes follow a progression pattern from excess to deficiency， with corresponding transition in herbal usage from pathogen-eliminating to healthy qi-reinforcing approaches. TCM intervention can significantly reduce disease activity of RA， with superior efficacy in patients with disease duration shorter than 6 months.

Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute（CLSI）. Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus（ n=1 544，35.2%），coagulase-negative Staphylococci（ n=1 441，32.9%）， Enterococcus faecium（ n=574，13.1%）， Enterococcus faecalis（ n=385，8.8%），and α-hemolytic Streptococci（ n=187，4.3%）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）was 26.2%（405/1 544）and 69.8%（1 006/1 441），respectively. Notably，all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility（>97.0%）to cephalobiol，rifampicin，trimethoprim-sulfamethoxazole，linezolid，minocycline，tigecycline，and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium（resistance to vancomycin and teicoplanin：both 1.7%）compared to Enterococcus faecalis（both 0.3%）. The detection rates of MRSA and MRCNS exhibited significant regional variations across the country（ χ2=17.674 and 148.650，respectively，both P<0.001）. No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA（ χ2=14.111， P<0.001）and MRCNS（ χ2=4.828， P=0.028）in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA（ χ2=18.986， P<0.001）and MRCNS（ χ2=4.477， P=0.034）in less developed regions（per capita GDP

Objective:To report the results of bacterial resistant investigation collaborative system（BRICS）on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023，and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period，11 492 strains of Gram-negative bacteria were collected from 60 hospitals，of which 10 098（87.9%）were Enterobacterales and 1 394（12.1%）were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli（50.0%）， Klebsiella pneumoniae（26.1%）， Pseudomonas aeruginosa（5.1%）， Acinetobacter baumannii complex（5.0%）and Enterobacter cloacae complex（4.1%）. The ESBL-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus mirablilis were 46.8%（2 685/5 741），18.3%（549/2 999）and 44.0%（77/175），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（76/5 741）and 15.0%（450/2 999）；32.9%（25/76）and 78.0%（351/450）of CREC and CRKP were sensitive to ceftazidime/avibactam combination，respectively. 94.7%（72/76）and 90.2%（406/450）of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore，57.9%（44/76）and 79.1%（356/450）were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 64.6%（370/573），while more than 80.0% of CRAB complex was sensitive to tigecycline，eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 17.0%（99/581）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China，with statistically significant differences in the prevalence of CREC，CRKP，CRPA and CRAB complex（ χ2=10.6，28.6，10.8 and 19.3， P<0.05）. The prevalence of ESBL-producing Escherichia coli， CREC，CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals（ χ2=12.5，9.8，12.7 and 57.8，all P<0.01）. Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China，and Escherichia coli is ranked in the top，while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend，CREC infecton maintains a low prevalence level，and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.