1.Effects of Yishen paidu formula on renal fibrosis in rats with chronic renal failure by regulating the ROS/TXNIP/NLRP3 pathway
Li FENG ; Bowen PENG ; Bin PENG ; Xue FENG ; Shuangyi ZHU ; Wei XIONG ; Xi HU ; Xiaohui SUN
China Pharmacy 2026;37(2):174-179
OBJECTIVE To investigate the effects and mechanism of the Yishen paidu formula on renal fibrosis in rats with chronic renal failure (CRF) through the reactive oxygen species (ROS)/thioredoxin-interacting protein (TXNIP)/NOD-like receptor thermal protein domain associated protein 3 (NLRP3) pathway. METHODS Rats were randomly divided into control group, model group, Yishen paidu formula low-dose (Yishen paidu formula-L) group, Yishen paidu formula high-dose (Yishen paidu formula- H) group, Yishen paidu formula-H+pcDNA-NC group, and Yishen paidu formula-H+ pcDNA-TXNIP group, with 10 rats in each group. Except for control group, all other rats were fed a diet containing 0.5% adenine to establish a CRF model; the rats were then administered corresponding drugs or normal saline intragastrically or via tail vein, once daily, for 8 consecutive weeks. After the last administration, the levels of serum creatinine (Scr), blood urea nitrogen (BUN), ROS, superoxide dismutase (SOD), malondialdehyde (MDA), tumor necrosis factor-α (TNF-α), interleukin (IL)-6, and IL-1β were measured in each group. Pathological changes in renal tissue were observed, and the protein expression levels of Collagen Ⅲ, α-smooth muscle actin (α-SMA), transforming growth factor-β1 (TGF-β1), TXNIP and NLRP3 in renal tissue were detected. RESULTS Compared with model group, the renal histopathological damage and fibrosis of rats in Yishen paidu formula-L group and Yishen paidu formula-H group were significantly alleviated. The levels of Scr, BUN, ROS, MDA, TNF- α, IL-6 and IL-1β, and the protein expressions of Collagen Ⅲ, α-SMA, TGF-β1, TXNIP and NLRP3 were significantly decreased, while SOD levels were significantly increased (P<0.05). Moreover, the changes were more pronounced in the Yishen paidu formula-H group (P<0.05). Compared with Yishen paidu formula-H+pcDNA-NC group, above indexes of rats in Yishen paidu formula-H+pcDNA-TXNIP group were reversed significantly (P<0.05). CONCLUSIONS Yishen paidu formula can inhibit renal fibrosis in CRF rats by suppressing the ROS/TXNIP/NLRP3 pathway.
2.Ethical issues and reflections on clinical research of radiopharmaceuticals
Yonglan HU ; Li WANG ; Feng JIANG ; Jiyin ZHOU ; Zhengjun CHEN ; Jie ZHANG ; Zengrui ZHANG
Chinese Medical Ethics 2025;38(2):254-260
Radiopharmaceuticals play an important role in the diagnosis and treatment of cardiovascular and cerebrovascular diseases, malignant tumors, central nervous system diseases, and other diseases. Under the urgent need for clinical diagnosis and treatment as well as medical development, the clinical research of radiopharmaceuticals has become a hotspot in international research. By analyzing the current situation of clinical research on radiopharmaceuticals in Europe, America, and China, the ethical issues of clinical research on radiopharmaceuticals were elaborated from four aspects, including lack of relevant laws and regulations, a higher risk of radiopharmaceuticals, dilemmas in ethical review, and insufficient radiation protection. Response principles and measures were proposed from four aspects, including improving regulations and policies, enhancing radiological protection for all parties involved in the research, strengthening ethical review, and reinforcing the training of relevant personnel, to enhance the quality and level of clinical research on radiopharmaceuticals.
3.Comprehensive evaluation of benign and malignant pulmonary nodules using combined biological testing and imaging assessment in 1 017 patients: A retrospective cohort study
Lei ZHANG ; Zihao LI ; Nan LI ; Jun CHENG ; Feng ZHANG ; Pinghui XIA ; Wang LÜ ; ; Jian HU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(01):60-66
Objective By combining biological detection and imaging evaluation, a clinical prediction model is constructed based on a large cohort to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of the 32 627 patients with pulmonary nodules who underwent chest CT and testing for 7 types of lung cancer-related serum autoantibodies (7-AABs) at our hospital from January 2020 to April 2024. The univariate and multivariate logistic regression models were performed to screen independent risk factors for benign and malignant pulmonary nodules, based on which a nomogram model was established. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results A total of 1 017 patients with pulmonary nodules were included in the study. The training set consisted of 712 patients, including 291 males and 421 females, with a mean age of (58±12) years. The validation set included 305 patients, comprising 129 males and 176 females, with a mean age of (58±13) years. Univariate ROC curve analysis indicated that the combination of CT and 7-AABs testing achieved the highest area under the curve (AUC) value (0.794), surpassing the diagnostic efficacy of CT alone (AUC=0.667) or 7-AABs alone (AUC=0.514). Multivariate logistic regression analysis showed that radiological nodule diameter, nodule nature, and CT combined with 7-AABs detection were independent predictors, which were used to construct a nomogram prediction model. The AUC values for this model were 0.826 and 0.862 in the training and validation sets, respectively, demonstrating excellent performance in DCA. Conclusion The combination of 7-AABs with CT significantly enhances the accuracy of distinguishing between benign and malignant pulmonary nodules. The developed predictive model provides strong support for clinical decision-making and contributes to achieving precise diagnosis and treatment of pulmonary nodules.
4.Cervical lordosis ratio can be used as a decision-making indicator for selection of posterior surgical approach for multi-level cervical spondylotic myelopathy
Jiahang MIAO ; Sheng MA ; Qupeng LI ; Huilin YU ; Tianyu HU ; Xiao GAO ; Hu FENG
Chinese Journal of Tissue Engineering Research 2025;29(9):1796-1802
BACKGROUND:At present,research has only shown that the cervical lordosis ratio can be an important factor in predicting the loss of lordosis curvature after laminoplasty,and no one has studied whether the cervical lordosis ratio,a dynamic level indicator,can be one of the decision-making factors for the selection of posterior cervical surgical procedures. OBJECTIVE:To investigate whether the cervical lordosis ratio,an index of cervical hyperextension and hyperflexion,can be used as a selective index for laminoplasty and laminectomy fusion. METHODS:A retrospective review of 141 patients who had undergone posterior cervical surgery more than one year of follow-up due to multi-level cervical spondylotic myelopathy from December 2015 to March 2020 was performed.Among them,63 patients received laminectomy and fusion(laminectomy and fusion group)and 78 patients received laminoplasty(laminoplasty group).The demographic statistics(gender,age,body mass index,follow-up time),imaging indexes such as C2-7 Cobb angle,C2-7 range of motion,flexion Cobb angle,extension Cobb angle,flexion range of motion and extension range of motion,clinical effect indexes such as Japanese Orthopaedic Association score and visual analog scale score were compared between the two groups.The evaluation index of cervical lordosis alignment change was C2-7 Cobb angle difference before and after operation(ΔCL).Cervical lordosis ratio was equal to 100%×flexion range of motion/C2-7 range of motion.Receiver operating characteristic curve analysis was used to determine the role of cervical lordosis ratio in predicting postoperative severe cervical lordosis loss(ΔCL≤-10°).According to the critical value of cervical lordosis ratio(68.5%),all patients were divided into low cervical lordosis ratio group and high cervical lordosis ratio group.In these two ratio groups,the cervical lordosis alignment index and clinical effect index between the two operation groups were discussed again. RESULTS AND CONCLUSION:(1)Cervical lordosis alignment decreased after laminectomy and fusion and laminoplasty(P=0.039,P=0.002),and cervical lordosis alignment change in laminoplasty group(ΔCL)was greater than that of laminectomy and fusion group,and the difference between the two groups was statistically significant.(2)Based on receiver operating characteristic curve analysis,cervical lordosis ratio in predicting severe cervical lordosis alignment change(ΔCL≤-10°)had good identification ability(area under the curve=0.792).(3)In low cervical lordosis ratio group,there was no significant difference in cervical lordosis alignment change(ΔCL)between laminectomy and fusion group and laminoplasty group(P=0.141).(4)In high cervical lordosis ratio group,the ΔCL of laminoplasty group was greater than that in laminectomy and fusion group(P=0.001),which had a higher probability of postoperative severe cervical lordosis alignment change(ΔCL≤-10°)(43%,29%).(5)It is indicated that cervical lordosis ratio can be used as a decision-making index for the choice of posterior surgery for multi-level cervical spondylotic myelopathy.Laminoplasty can be considered in the low cervical lordosis ratio group,while laminectomy and fusion can be considered in the high cervical lordosis ratio group.
5.Application value of machine learning models based on CT radiomics for assessing split renal function
Junjie ZOU ; Ruidong LI ; Hu SONG ; Feng WANG ; Ning DING ; Kongyuan ZHANG
Chinese Journal of Radiological Health 2025;34(1):108-113
Objective Based on the radiomics features extracted from the unenhanced CT images of the lower abdomen, a variety of machine learning models were constructed to explore their application value in the assessment of split renal function. Methods A retrospective analysis was conducted on the unenhanced CT images from 240 single kidneys in patients with clinically suspected renal dysfunction. Based on the results of single-photon emission computed tomography renal dynamic imaging, the cases were classified into the normal glomerular filtration rate group (n=118) and the decreased glomerular filtration rate group (n=122). The region of interest was outlined on the unenhanced CT images and the radiomics features were extracted. The features were selected by correlation analysis and least absolute shrinkage and selection operator, and the machine learning models were constructed based on the algorithms of decision tree, support vector machine, random forest, logistic regression, and extreme gradient boosting. Area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity were calculated to compare the performance of different models. Results Sixteen radiomics features were selected for constructing the machine learning models. The support vector machine model showed relatively high performance for the assessment of split renal function on the test set, with an area under the receiver operating characteristic curve value of 0.883 (95% confidence interval: 0.804-0.961), an accuracy of 0.778, a sensitivity of 0.811, and a specificity of 0.743. Conclusion The machine learning models constructed based on unenhanced CT radiomics can be used to preliminarily assess split renal function, which provides an innovative, convenient, and safe method for clinical diagnosis and has positive significance for treatment.
6.Research progress on strategies to target intestinal microbiota to improve drug resistance in tumor immunotherapy
Hui-ling LI ; Bi-qing LIU ; Ying-nan FENG ; Xin HU ; Lan ZHANG ; Xian-zhe DONG
Acta Pharmaceutica Sinica 2025;60(2):260-268
A growing body of research points out that gut microbiota plays a key role in tumor immunotherapy. By optimizing the composition of intestinal microbiota, it is possible to effectively improve immunotherapy resistance and enhance its therapeutic effect. This article comprehensively analyzes the mechanism of intestinal microbiota influencing tumor immunotherapy resistance, expounds the current strategies for targeted regulation of intestinal microbiota, such as traditional Chinese medicine and plant components, fecal microbiota transplantation, probiotics, prebiotics and dietary therapy, and explores the potential mechanisms of these strategies to improve patients' resistance to tumor immunotherapy. At the same time, the article also briefly discusses the prospects and challenges of targeting intestinal microbiota to improve tumor immunotherapy resistance, which provides a reference for related research to help the strategy research of reversing tumor immunotherapy resistance.
7.Latent class analysis and influencing factor study of work-related musculoskeletal disorders among operating room nurses in tertiary hospitals
Xiaogui TANG ; Li LI ; Yue ZHAO ; Ningning HU ; Feng FU ; Boya LI ; Mengru YANG ; Yinglan LI
Journal of Environmental and Occupational Medicine 2025;42(3):293-301
Background Work-related musculoskeletal disorders (WMSDs), as one of the major occupational health issues worldwide, have shown an increasing positive rate year by year. Due to the unique demands of work, operating room nurses exhibit a higher positive rate of WMSDs compared to other occupational groups, necessitating active attention and intervention. Objective To estimate the prevalence of WMSDs among operating room nurses in tertiary hospitals, explore the characteristics and latent categories of WMSDs, and analyze the influencing factors associated with the occurrence of WMSDs. Method Using a randomized cluster sampling method, operating room nurses from nine tertiary hospitals in Urumqi were selected as study participants between December 2023 and January 2024. Data were collected through a general information questionnaire, an ergonomic questionnaire for operating room nurses, and the Chinese Musculoskeletal Disorders Questionnaire. Latent class analysis was employed to examine the patterns of WMSDs among the nurses, while chi-square test and multinomial logistic regression were utilized to analyze the influencing factors of WMSDs. Result A total of 411 valid questionnaires were collected in this survey. The positive rate of WMSDs among operating room nurses in the tertiary hospitals of Urumqi over the past year was 91.9%. The positive rates, ordered from highest to lowest by body region, were neck (79.1%), shoulders (70.3%), and lower back (68.1%). The operating room nurses were categorized into three distinct groups by latent class analysis: multi-site pain group, neck-shoulder-back pain group, and neck and lower back pain group. The results of the multinomial logistic regression models revealed that gender, job strain level, ergonomic load level in the operating room, and exposure to cold or drafty working conditions or not were significant influencing factors for reporting WMSDs among operating room nurses. Specifically, having less than 5 years of work experience, low ergonomic load level, low job strain, and moderate job strain were identified as protective factors against WMSDs. Conversely, exposure to cold or drafty working environments and being female were identified as risk factors for WMSDs. The logistic regression models also indicated that compared to the neck-lower back pain group, the neck-shoulder-back pain group had a higher probability of reporting low job strain (OR=0.168, 95%CI: 0.029, 0.968) and being female (OR=4.847, 95%CI: 2.506, 9.378). In contrast, when comparing to the neck-lower back pain group, the multi-site pain group had a higher probability of reporting, low-level ergonomic workload (OR=0.079, 95%CI: 0.015, 0.412), low job strain (OR=0.019, 95%CI: 0.002, 0.145), moderate job strain (OR=0.080, 95%CI: 0.016, 0.401), high job strain (OR=0.132, 95%CI: 0.027, 0.647), less than 5 years of work experience (OR=0.173, 95%CI: 0.044, 0.683), being female (OR=2.424, 95%CI: 1.130, 5.200), and exposure to cold or drafty working environments (OR=3.277, 95%CI: 1.657, 6.481). Conclusion The positive rate WMSDs among operating room nurses in tertiary hospitals is notably high in Urumqi, with distinct co-occurrence characteristics observed within the population. To mitigate the risk of WMSDs, it is essential to implement targeted health education and prevention training programs tailored to different patterns of WMSDs. Additionally, improving working conditions, optimizing human resource allocation , and other proactive measures should be undertaken. These efforts will effectively reduce the incidence of WMSDs among operating room nurses and safeguard their occupational health.
8.Identification of Alumen and Ammonium alum Based on XRD, FTIR, TG-DTA Combined with Chemometrics
Bin WANG ; Jingwei ZHOU ; Huangsheng ZHANG ; Jian FENG ; Hanxi LI ; Guorong MEI ; Jiaquan JIANG ; Hongping CHEN ; Fu WANG ; Yuan HU ; Youping LIU ; Shilin CHEN ; Lin CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(13):178-186
ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction(XRD), Fourier-transform infrared spectroscopy(FTIR) and thermogravimetric-differential thermal analysis(TG-DTA), and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant, Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum, and the XRD characteristic profiles of Alumen were established, and then the common peaks were screened. Based on hierarchical clustering analysis(HCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA), the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection(VIP) value>1. FTIR characteristic profiles of Alumen were established, and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile, the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA, and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However, by comparing the PDF standard cards of XRD, 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles, 10 characteristic peaks were confirmed, corresponding to diffraction angles of 14.560°, 24.316°, 12.620°, 32.122°, 17.898°, 34.642°, 27.496°, 46.048°, 40.697° and 21.973°. In the FTIR profiles, 4 wavenumber ranges(399.193-403.050, 1 186.010-1 471.420, 1 801.190-2 620.790, 3 612.020-3 997.710 cm-1) and 12 characteristic wavenumbers(1 428.994, 1 430.922, 1 432.851, 1 434.779, 1 436.708, 1 438.636, 1 440.565, 1 442.493, 1 444.422, 1 446.350, 1 448.279, 1 450.207 cm-1) were identified. In the TG-DTA profiles, there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD, FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum, and combined with the discriminant features selected through chemometrics, the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.
9.Identification of Alumen and Ammonium alum Based on XRD, FTIR, TG-DTA Combined with Chemometrics
Bin WANG ; Jingwei ZHOU ; Huangsheng ZHANG ; Jian FENG ; Hanxi LI ; Guorong MEI ; Jiaquan JIANG ; Hongping CHEN ; Fu WANG ; Yuan HU ; Youping LIU ; Shilin CHEN ; Lin CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(13):178-186
ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction(XRD), Fourier-transform infrared spectroscopy(FTIR) and thermogravimetric-differential thermal analysis(TG-DTA), and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant, Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum, and the XRD characteristic profiles of Alumen were established, and then the common peaks were screened. Based on hierarchical clustering analysis(HCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA), the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection(VIP) value>1. FTIR characteristic profiles of Alumen were established, and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile, the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA, and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However, by comparing the PDF standard cards of XRD, 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles, 10 characteristic peaks were confirmed, corresponding to diffraction angles of 14.560°, 24.316°, 12.620°, 32.122°, 17.898°, 34.642°, 27.496°, 46.048°, 40.697° and 21.973°. In the FTIR profiles, 4 wavenumber ranges(399.193-403.050, 1 186.010-1 471.420, 1 801.190-2 620.790, 3 612.020-3 997.710 cm-1) and 12 characteristic wavenumbers(1 428.994, 1 430.922, 1 432.851, 1 434.779, 1 436.708, 1 438.636, 1 440.565, 1 442.493, 1 444.422, 1 446.350, 1 448.279, 1 450.207 cm-1) were identified. In the TG-DTA profiles, there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD, FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum, and combined with the discriminant features selected through chemometrics, the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.
10.A Randomized Controlled,Double-Blind Study on Huaban Jiedu Formulation (化斑解毒方) in the Treatment of Psoriasis Vulgaris with Blood-Heat Syndrome
Xuewen REN ; Yutong DENG ; Huishang FENG ; Bo HU ; Jianqing WANG ; Zhan CHEN ; Xiaodong LIU ; Xinhui YU ; Yuanwen LI
Journal of Traditional Chinese Medicine 2025;66(16):1679-1686
ObjectiveTo evaluate the clinical efficacy and safety of Huaban Jiedu Formulation (化斑解毒方, HJF) in treating psoriasis vulgaris with blood-heat syndrome. MethodsA randomized, double-blind, placebo-controlled study was conducted with 60 patients diagnosed with psoriasis vulgaris of blood-heat syndrome. Patients were randomly assigned to either a treatment group or a control group, with 30 cases in each. The treatment group received HJF granules orally, one dose a day, combined with topical Qingshi Zhiyang Ointment (青石止痒软膏), while the control group received placebo granules, one dose a day, combined with the same topical ointment. Both groups were topically treated twice daily of 28 days treatment cours. Psoriasis area and severity index (PASI), visual analogue scale for pruritus (VAS), traditional Chinese medicine (TCM) syndrome scores, dermatology life quality index (DLQI), and psoriasis life stress inventory (PLSI) were assessed before treatment and on day 14 and day 28. Response rates for PASI 50 (≥50% reduction) and PASI 75 (≥75% reduction), as well as overall clinical efficacy, were compared between groups. Serum levels of interleukin-6 (IL-6) and interleukin-17 (IL-17) were measured before and after 28 days of treatment. Adverse reactions during treatment were recorded. ResultsAfter 28 days of treatment, both groups showed significant reductions in PASI total score, lesion area score, erythema, scaling, and infiltration scores, pruritus VAS score, TCM syndrome score, DLQI, PLSI, and serum IL-6 and IL-17 levels (P<0.05). Compared to the control group, the treatment group had significantly greater improvements in PASI total score and erythema score, TCM syndrome score, serum IL-6 and IL-17 levels, and PASI 50 response rate after 28 days (P<0.05). Between-group comparisons of score differences before and after 28-day treatment revealed that the treatment group showed significantly better improvements in PASI total, lesion area score, erythema score, TCM syndrome score, DLQI, PLSI, and inflammatory markers (P<0.05 or P<0.01). The total effective rate on day 14 and day 28 was 40.00% (12/30) and 83.33% (25/30) in the treatment group, versus 6.90% (2/29) and 41.38% (12/29) in the control group, respectively. The clinical efficacy in the treatment group was significantly superior to that in the control group (P<0.05). Mild gastric discomfort occurred in 3 patients in the treatment group and 1 in the control group. ConclusionHJF can effectively improve skin lesions and TCM symptoms relieve pruritus, enhance quality of life, and reduce inflammatory markers IL-6 and IL-17, in patients with blood-heat syndrome of psoriasis vulgaris, with a good safety profile.

Result Analysis
Print
Save
E-mail