Objective:To investigate the clinicopathological features and differential diagnosis of male genital system lympho-ma(MGSL).Methods:We retrospectively analyzed the clinicopathological and immunophenotypic features and prognosis of 80 ca-ses of MGSL.Results:The onset age of the MGSL patients ranged from 4 to 85(median 62)years old.All the cases showed non-specificity of the imaging features and clinical manifestations.MGSL was located mainly in the testis(n=66),followed by the pros-tate(n=7),epididymis(n=3),scrotum(n=3)and penile glans(n=1).Diffused large B cell lymphoma(DLBCL)was the most common pathological type(n=62),next came extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue(MALT)(n=7)and other rare types(n=12).During the 1-112-month follow-up of 10 of the 19 patients,1 died at 1 month af-ter diagnosed with prostatic B-lymphoblastic lymphoma(B-LBL)and another 1 died at 50 months after diagnosed with testicular DLBCL.Conclusion:MGSL is rare clinically,mainly of the DLBCL type pathologically,lacking specificity in clinical symptoms and imaging manifestation.The definite diagnosis of the malignancy depends on histopathology combined with related molecular exami-nation and immunohistochemical labeling,and R-CHOP chemotherapy is the first choice for its treatment.

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

One-day-old AA broilers were divided into five groups(15 chickens each,5 replicates per group):control(basic diet),three groups with low,medium,and high doses of crude extract of Flos sophorae and Fructus sophorae(100,150,200 mg/kg),and one group with Macleaya cordata extract(300 mg/kg).The 42-day trial measured intestinal enzyme activity,morphology,antioxidant and immune capacity,barrier function,and microbiota structure and diversity.Compared to the control and Macleaya cordata groups,the high-dose crude extract of Flos sophorae and Fructus sophorae group significantly increased trypsin activity in the duodenum,jejunum,and ileum(P＜0.05).It also reduced reactive oxygen species and malondialdehyde levels,increased glu-tathione peroxidase activity,reduced tumor necrosis factor-α,increased interleukin-10,and elevated mRNA expression of tight junction protein-1 and mucin-2 in the jejunum(P＜0.05).Microbial di-versity analysis showed higher Shannon index,increased Firmicutes and Bacteroidetes,decreased Proteobacteria,and more beneficial bacteria in the high-dose group(P＜0.05).Supplementing 200 mg/kg of crude extract of Flos sophorae and Fructus sophorae enhances intestinal morpholo-gy and function,and promotes intestinal health,thereby increasing farming efficiency.

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged

OBJECTIVE: To identify the underlying mechanism by which quercetin (Que) alleviates sepsis-related acute respiratory distress syndrome (ARDS). METHODS: In vivo, C57BL/6 mice were assigned to sham, cecal ligation and puncture (CLP), and CLP+Que (50 mg/kg) groups (n=15 per group) by using a random number table. The sepsisrelated ARDS mouse model was established using the CLP method. In vitro, the murine alveolar macrophages (MH-S) cells were classified into control, lipopolysaccharide (LPS), LPS+Que (10 μmol/L), and LPS+Que+acetylcysteine (NAC, 5 mmol/L) groups. The effect of Que on oxidative stress, inflammation, and apoptosis in mice lungs and MH-S cells was determined, and the mechanism with reactive oxygen species (ROS)/p38 mitogen-activated protein kinase (MAPK) pathway was also explored both in vivo and in vitro. RESULTS: Que alleviated lung injury in mice, as reflected by a reversal of pulmonary histopathologic changes as well as a reduction in lung wet/dry weight ratio and neutrophil infiltration (P<0.05 or P<0.01). Additionally, Que improved the survival rate and relieved gas exchange impairment in mice (P<0.01). Que treatment also remarkedly reduced malondialdehyde formation, superoxide dismutase and catalase depletion, and cell apoptosis both in vivo and in vitro (P<0.05 or P<0.01). Moreover, Que treatment diminished the release of inflammatory factors interleukin (IL)-1β, tumor necrosis factor-α, and IL-6 both in vivo and in vitro (P<0.05 or P<0.01). Mechanistic investigation clarifified that Que administration led to a decline in the phosphorylation of p38 MAPK in addition to the suppression of ROS expression (P<0.01). Furthermore, in LPS-induced MH-S cells, ROS inhibitor NAC further inhibited ROS/p38 MAPK pathway, as well as oxidative stress, inflammation, and cell apoptosis on the basis of Que treatment (P<0.05 or P<0.01). CONCLUSION Que was found to exert anti-oxidative, anti-inflammatory, and anti-apoptotic effects by suppressing the ROS/p38 MAPK pathway, thereby conferring protection for mice against sepsis-related ARDS.
Animals ; Sepsis/drug therapy* ; Quercetin/therapeutic use* ; Respiratory Distress Syndrome/enzymology* ; p38 Mitogen-Activated Protein Kinases/metabolism* ; Mice, Inbred C57BL ; Reactive Oxygen Species/metabolism* ; Apoptosis/drug effects* ; Male ; Oxidative Stress/drug effects* ; MAP Kinase Signaling System/drug effects* ; Lung/drug effects* ; Mice ; Lipopolysaccharides ; Macrophages, Alveolar/pathology* ; Inflammation/pathology* ; Protective Agents/therapeutic use*

Objective:To investigate the efficacy and safety of darolutamide in the treatment of patients with metastatic hormone-sensitive prostate cancer.Methods:A retrospective analysis was conducted on 17 cases of prostate cancer patients who received treatment with darolutamide in combination with ADT at our hospital from January to December 2022. The median age was 70 (range: 56 to 92) years old. The median pre-treatment prostate-specific antigen (PSA) level was 63.50 (range: 29.16 to 700.74) ng/ml. Sixteen cases had a Gleason score of 8 or above, and 11 cases were classified as high tumor burden (with four or more bone metastases and/or visceral metastases). The patients were treated with darolutamide in combination with goserelin (10.8 mg, subcutaneous injection, every 12 weeks). The decrease in PSA levels was observed at 2 weeks and at 1, 2, 3, and 6 months post-treatment. The time to achieve a 50% decrease in PSA level (PSA50), a 90% decrease (PSA90), and a PSA level of ≤0.2 ng/ml was recorded.Adverse drug reactions were also documented.Results:All the 17 patients were followed up and continued to receive darolutamide at our center without any loss to follow-up. The median follow-up time was 11.4(8.9, 15.3)months. It showed a median PSA decrease from baseline of 83.33% at 2 weeks, 95.37% at 1 month, 96.71% at 2 months, 97.22% at 3 months, and 99.10% at 6 months. The median time to achieve PSA50, PSA90, and PSA ≤ 0.2 ng/ml were 1.3 (0.9, 1.7)months, 1.7 (1.2, 2.4)months, and 3.6 (2.9, 4.5)months respectively. Six patients with bone metastases experienced relief of metastatic lesions after treatment. Only one patient developed papules on the left upper limb, which were assessed as grade 1 rash, and the rash disappeared after three days treatment of topical application of hydrocortisone cream.Conclusions:Darolutamide could rapidly control and significantly reduce PSA levels in prostate cancer patients, with a favorable safety profile.

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

One-day-old AA broilers were divided into five groups(15 chickens each,5 replicates per group):control(basic diet),three groups with low,medium,and high doses of crude extract of Flos sophorae and Fructus sophorae(100,150,200 mg/kg),and one group with Macleaya cordata extract(300 mg/kg).The 42-day trial measured intestinal enzyme activity,morphology,antioxidant and immune capacity,barrier function,and microbiota structure and diversity.Compared to the control and Macleaya cordata groups,the high-dose crude extract of Flos sophorae and Fructus sophorae group significantly increased trypsin activity in the duodenum,jejunum,and ileum(P＜0.05).It also reduced reactive oxygen species and malondialdehyde levels,increased glu-tathione peroxidase activity,reduced tumor necrosis factor-α,increased interleukin-10,and elevated mRNA expression of tight junction protein-1 and mucin-2 in the jejunum(P＜0.05).Microbial di-versity analysis showed higher Shannon index,increased Firmicutes and Bacteroidetes,decreased Proteobacteria,and more beneficial bacteria in the high-dose group(P＜0.05).Supplementing 200 mg/kg of crude extract of Flos sophorae and Fructus sophorae enhances intestinal morpholo-gy and function,and promotes intestinal health,thereby increasing farming efficiency.

Objective:To investigate the efficacy and safety of darolutamide in the treatment of patients with metastatic hormone-sensitive prostate cancer.Methods:A retrospective analysis was conducted on 17 cases of prostate cancer patients who received treatment with darolutamide in combination with ADT at our hospital from January to December 2022. The median age was 70 (range: 56 to 92) years old. The median pre-treatment prostate-specific antigen (PSA) level was 63.50 (range: 29.16 to 700.74) ng/ml. Sixteen cases had a Gleason score of 8 or above, and 11 cases were classified as high tumor burden (with four or more bone metastases and/or visceral metastases). The patients were treated with darolutamide in combination with goserelin (10.8 mg, subcutaneous injection, every 12 weeks). The decrease in PSA levels was observed at 2 weeks and at 1, 2, 3, and 6 months post-treatment. The time to achieve a 50% decrease in PSA level (PSA50), a 90% decrease (PSA90), and a PSA level of ≤0.2 ng/ml was recorded.Adverse drug reactions were also documented.Results:All the 17 patients were followed up and continued to receive darolutamide at our center without any loss to follow-up. The median follow-up time was 11.4(8.9, 15.3)months. It showed a median PSA decrease from baseline of 83.33% at 2 weeks, 95.37% at 1 month, 96.71% at 2 months, 97.22% at 3 months, and 99.10% at 6 months. The median time to achieve PSA50, PSA90, and PSA ≤ 0.2 ng/ml were 1.3 (0.9, 1.7)months, 1.7 (1.2, 2.4)months, and 3.6 (2.9, 4.5)months respectively. Six patients with bone metastases experienced relief of metastatic lesions after treatment. Only one patient developed papules on the left upper limb, which were assessed as grade 1 rash, and the rash disappeared after three days treatment of topical application of hydrocortisone cream.Conclusions:Darolutamide could rapidly control and significantly reduce PSA levels in prostate cancer patients, with a favorable safety profile.

Currently,human health due to corona virus disease 2019(COVID-19)pandemic has been seriously threatened.The coronavirus severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)spike(S)protein plays a crucial role in virus transmission and several S-based therapeutic approaches have been approved for the treatment of COVID-19.However,the efficacy is compromised by the SARS-CoV-2 evolvement and mutation.Here we report the SARS-CoV-2 S protein receptor-binding domain(RBD)inhibitor licorice-saponin A3(A3)could widely inhibit RBD of SARS-CoV-2 variants,including Beta,Delta,and Omicron BA.1,XBB and BQ1.1.Furthermore,A3 could potently inhibit SARS-CoV-2 Omicron virus in Vero E6 cells,with EC50 of 1.016 pM.The mechanism was related to binding with Y453 of RBD deter-mined by hydrogen-deuterium exchange mass spectrometry(HDX-MS)analysis combined with quan-tum mechanics/molecular mechanics(QM/MM)simulations.Interestingly,phosphoproteomics analysis and multi fluorescent immunohistochemistry(mIHC)respectively indicated that A3 also inhibits host inflammation by directly modulating the JNK and p38 mitogen-activated protein kinase(MAPK)path-ways and rebalancing the corresponding immune dysregulation.This work supports A3 as a promising broad-spectrum small molecule drug candidate for COVID-19.