Aim To investigate the protective effects of dendrobium polysaccharide(DOP)against paraceta-mol(APAP)-induced liver injury in mice and eluci-date its underlying mechanism.Methods Healthy male Kunming mice were randomly assigned to the fol-lowing groups:control group,APAP model group,low,medium,high-dose DOP intervention group(225,450,900 mg·kg-1),and DOP control group.The APAP model group was given 300 mg·kg-1 per day,the DOP intervention group was given DOP for 2 h and then APAP was given,and the remaining groups received an equal volume of normal saline daily for sev-en consecutive days.After the final administration,se-rum and liver samples from the mice were collected and tested after 20 hours.Liver morphology and liver coef-ficient were examined.Liver histopathological altera-tions and apoptosis were examined using HE staining and TUNEL staining.Additionally,medium biochemi-cal indexes were assessed in serum and liver tissue u-sing kits.The levels of oxidative stress,inflammation,and apoptosis-related proteins in liver tissue were de-termined using Western blotting.Results In the APAP model group,liver coefficient increased signifi-cantly,the number of liver vacuolar necrosis and apop-tosis cells increased,and the serum ALT and AST lev-els significantly increased.Compared with the APAP group,the liver coefficient,serum ALT and AST levels were significantly reduced,and the liver pathology was improved after DOP intervention,especially in the 900 mg·kg-1 group.The levels of oxidative stress and in-flammation in the APAP group increased,and the ex-pression of apoptosis,inflammation and oxidative stress related proteins in liver was unbalanced.DOP inter-vention,especially in the 900 mg·kg-1 group,could significantly reverse the oxidative stress,apoptosis and inflammatory response induced by APAP in liver,and increase the expression levels of Nrf2 and HO-1,but reduce the expression levels of NLRP3 and HMGB1.Conclusions The hepatoprotective mechanism of DOP is mainly due to its antioxidant and anti-inflammatory response,which may be related to the activation of Nrf2/HO-1 pathway and the inhibition of HMGB1/NL-RP3 pathway by DOP.

Objective To explore the clinical application effect of color Doppler ultrasound in guiding radial artery puncture.Methods A total of 110 patients were randomly divided into the observation group(57 cases)and the control group(53 cases).Patients in the observation group underwent radial artery puncture and catheterization guided by color Doppler ultrasound;patients in the control group underwent routine blind puncture and catheterization.The puncture time,one-time puncture success rate,and incidence of hematoma formation of patients between the two groups were compared.Results The puncture time of patients in the observation group was shorter than that in the control group[(36.5±7.8)s vs.(69.3±18.6)s],and the one-time puncture success rate was higher than that in the control group(96.5%vs.45.3%),the incidence of hematoma formation was lower than that in the control group(3.5%vs.28.3%),and the differences were statistically significant(P<0.05).Conclusion Color Doppler ultrasound guiding radial artery puncture can significantly improve the one-time puncture success rate and reduce the complications of arterial puncture.

Objective:To analyze the clinical characteristics and prognosis of patients with CD5+diffuse large B-cell lymphoma(DLBCL).Methods:The clinical data of 161 newly treated DLBCL patients in Gansu Provincial Hospital from January 2013 to January 2020 were retrospectively analyzed.According to CD5 expression,the patients were divided into CD5+group and CD5-group.The clinical characteristics and prognosis of the two groups were statistically analyzed.Results:The median age of patients in CD5+group was 62 years,which was higher than 56 years in CD5-group(P=0.048).The proportion of women in CD5+group was 62.96％,which was significantly higher than 41.79％in CD5-group(P=0.043).The proportion of patients with IPI score＞2 in CD5+group was 62.96％,which was higher than 40.30％in CD5-group(P=0.031).Survival analysis showed that the median overall survival and progression-free survival time of patients in CD5+group were 27(3-77)and 31(3-76)months,respectively,which were both shorter than 30(5-84)and 32.5(4-83)months in CD5-group(P=0.047,P=0.026).Univariate analysis showed that advanced age,positive CD5 expression,triple or double hit at initial diagnosis,high IPI score and no use of rituximab during chemotherapy were risk factors for the prognosis of DLBCL patients.Further Cox multivariate regression analysis showed that these factors were also independent risk factors except for advanced age.Conclusion:CD5+DLBCL patients have a worse prognosis than CD5-DLBCL patients.Such patients are more common in females,with advanced age and high IPI score,which is a special subtype of DLBCL.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Based on the strategy of metabolomics combined with bioinformatics, this study analyzed the potential allergens and mechanism of pseudo-allergic reactions (PARs) induced by the combined use of Reduning injection and penicillin G injection. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). Based on UPLC-Q-TOF/MS technology combined with UNIFI software, a total of 21 compounds were identified in Reduning and penicillin G mixed injection. Based on molecular docking technology, 10 potential allergens with strong binding activity to MrgprX2 agonist sites were further screened. Metabolomics analysis using UPLC-Q-TOF/MS technology revealed that 34 differential metabolites such as arachidonic acid, phosphatidylcholine, phosphatidylserine, prostaglandins, and leukotrienes were endogenous differential metabolites of PARs caused by combined use of Reduning injection and penicillin G injection. Through the analysis of the "potential allergen-target-endogenous differential metabolite" interaction network, the chlorogenic acids (such as chlorogenic acid, neochlorogenic acid, cryptochlorogenic acid, and isochlorogenic acid A) and β-lactam allergens in the combination of the two may be mainly regulated by PLD1, PLA2G12A and CYP1A1. The three upstream signal target proteins mainly activate the arachidonic acid metabolic pathway, promote the degranulation of mast cells, release downstream endogenous inflammatory mediators, and induce PARs.

Objective To evaluate the efficacy and safety of brexpiprazole in treating acute schizophrenia.Methods Patients with schizophrenia were randomly divided into treatment group and control group.The treatment group was given brexpiprozole 2-4 mg·d-1 orally and the control group was given aripiprazole 10-20 mg·d-1orally,both were treated for 6 weeks.Clinical efficacy of the two groups,the response rate at endpoint,the changes from baseline to endpoint of Positive and Negative Syndrome Scale(PANSS),Clinical Global Impression-Improvement(CGI-S),Personal and Social Performance scale(PSP),PANSS Positive syndrome subscale,PANSS negative syndrome subscale were compared.The incidence of treatment-related adverse events in two groups were compared.Results There were 184 patients in treatment group and 186 patients in control group.After treatment,the response rates of treatment group and control group were 79.50％(140 cases/184 cases)and 82.40％(150 cases/186 cases),the scores of CGI-I of treatment group and control group were(2.00±1.20)and(1.90±1.01),with no significant difference(all P＞0.05).From baseline to Week 6,the mean change of PANSS total score wese(-30.70±16.96)points in treatment group and(-32.20±17.00)points in control group,with no significant difference(P＞0.05).The changes of CGI-S scores in treatment group and control group were(-2.00±1.27)and(-1.90±1.22)points,PSP scores were(18.80±14.77)and(19.20±14.55)points,PANSS positive syndrome scores were(-10.30±5.93)and(-10.80±5.81)points,PANSS negative syndrome scores were(-6.80±5.98)and(-7.30±5.15)points,with no significant difference(P＞0.05).There was no significant difference in the incidence of treatment-related adverse events between the two group(69.00％vs.64.50％,P＞0.05).Conclusion The non-inferiority of Brexpiprazole to aripiprazole was established,with comparable efficacy and acceptability.

Objective To investigate the effect of matrine on improving diabetic nephropathy(DN)through transforming growth factor β/signal transduction protein(TGF-β/Smads)pathway.Methods C57BL/6 mice were randomly divided into NC group,DN group,DN+matrine group,and DN+metformin group,with 10 mice in each group.Except for NC group,other groups were established DN models by high-fat and high-sugar diet combined with intraperitoneal injection of streptozotocin(STZ).After successful modeling,DN+matrine group was treated with matrine for 4 weeks,DN+metformin group was treated with metformin,DN and NC groups were given equal volumes of 0.9％NaCl.Western blot was used to detect the expression of collagen Ⅳ(Col Ⅳ),fibronectin(FN),Smad family member 2/3(Smad2/3),and phosphorylated Smad2/3(p-Smad2/3)in kidney.Biochemical method were used to detect blood glucose,creatinine,and urea nitrogen levels of mice.Results In NC group,DN group and DN+matrine group,blood glucose levels were(8.16±2.53),(24.84±4.67)and(23.88±3.57)mmol·L-1;blood creatinine levels were(36.48±5.63),(97.51±10.59)and(41.88±7.26)mmol·L-1;urea nitrogen levels were(53.11±4.72),(91.50±8.62)and(63.29±5.69)mmol·L-1;Col Ⅳ protein expression levels in kidney were 1.00±0.19,3.34±0.58 and 1.99±0.44;FN protein expression levels were 1.00±0.21,3.63±0.47 and 1.79±0.43;p-Smad2/3/Smad2/3 were 1.00±0.18,2.74±0.51 and 1.08±0.33.Above indicators showed statistically significant differences between NC group and DN group(all P＜0.05).Conclusion Matrine can effectively inhibit the activation of TGF-β1/Smads signaling pathway and reduce the polyproduct of extracellular matrix-related proteins,thus playing a protective role in DN kidney injury.

Objective To compare the clinical safety and efficacy of CT-guided hook-wire localization of≤10mm pulmonary ground-glass nodule(GGN)via different path ways before video-assisted thoracoscopic surgery(VATS).Methods The clinical data of a total of 128 patients with 10 mm pulmonary GGN,who received CT-guided hook wire localization before VATS at The Third Hospital of Mianyang of China between July 2018 and March 2023,were retrospectively analyzed.According to the puncturing localization path way mode,the patients were divided into vertical puncturing group(n=88)and non-vertical puncturing group(n=40).The number of puncturing times,the time spent for puncturing localization,the success rate of puncture,the operation time of VATS,and puncture-related complications of the two groups were recorded.Results No statistically significant differences in the gender,age,smoking history,GGN location,puncture position,nodule size,density characteristics of GGN,emphysema,and nodules-pleura distance existed between the two groups(all P＞0.05).Compared with non-vertical puncturing group,in vertical puncturing group the number of puncturing times was smaller,the time spent for localization was shorter,the incidence of pneumothorax was lower,and the operation time of VATS was shorter,the differences in all the above indexes between the two groups were statistically significant(all P＜0.05);and the subgroup analysis of patients whose GGN was overlapped with rib shadow obtained the same results.Binary logistic regression analysis revealed that non-vertical puncturing and the number of puncturing times were the independent risk factors for the occurrence of pneumothorax.Conclusion CT-guided hook-wire localization of≤10mm pulmonary GGN before VATS is clinically safe and effective.Under the condition when the lesion can be localized within the range of 2.0cm and the shadow overlapping of GGN with the rib and blood vessel can be effectively avoided,vertical puncturing path way mode should be preferred,which can effectively reduce the incidence of pneumothorax and shorten the operation time of VATS.