1.Exploration on Surrogate Outcome Measures in Clinical Trials of Traditional Chinese Medicine for Diabetic Kidney Disease
Can CAO ; Weiwei SUN ; Tong MA ; Yaoxian WANG
Journal of Traditional Chinese Medicine 2025;66(8):790-794
Traditional Chinese medicine (TCM) has unique advantages in alleviating the symptoms of diabetic kidney disease (DKD) and slowing its progression. However, traditional clinical trials often use the occurrence of end-stage renal disease as the end point, requiring long-term follow-up, which increases trial complexity and costs, thereby limiting the feasibility of TCM clinical studies. This paper suggested that in clinical trials of TCM for DKD, both the estimated glomerular filtration rate (eGFR) change rate (≥30%) and eGFR slope can serve as potential surrogate outcome measures. If the intervention course is short (<1 year), the eGFR change rate (≥30%) is recommended as a surrogate outcome measure, whereas in long-term interventional studies (≥1 year), the eGFR slope may be more appropriate. Furthermore, based on biochemical indicators such as eGFR slope and urinary albumin-to-creatinine ratio (UACR) change rate, integrating TCM symptom evaluation, TCM syndrome evaluation, and quality of life scales can help develop internationally recognized patient-reported outcome measures (PROMs) for TCM clinical trials, which will be a key step in enhancing the evaluation system for the effectiveness of TCM in treating DKD.
2.Prognostic value of serum CD4+ and NK cells for the treatment response in children with aplastic anemia.
Chun-Can WU ; Mei YAN ; Hailiguli NURIDDIN ; Xu-Kai MA ; Yu LIU
Chinese Journal of Contemporary Pediatrics 2025;27(6):690-695
OBJECTIVES:
To evaluate the clinical value of CD4⁺ cell percentage (CD4⁺%) and NK cell percentage (NK%) in predicting treatment outcomes in children with aplastic anemia (AA), providing a reference for precise diagnosis and treatment.
METHODS:
This retrospective study analyzed the clinical data of AA children treated with cyclosporine A at the First Affiliated Hospital of Xinjiang Medical University from January 2019 to April 2024. The study involved 48 AA children as the observation group and 50 children undergoing medical check-ups during the same period as the control group. Lymphocyte subset data were collected from both groups to analyze differences and their relationship with treatment efficacy. Based on hematological responses, the observation group was divided into an effective group of 18 patients (HR group, including complete and partial remission) and an ineffective group of 30 patients (NHR group, including non-remission).
RESULTS:
Univariate analysis showed that NK% in the observation group was significantly lower than that in the control group (P<0.05). The observation group was followed up for 3 months. The HR group had a lower CD4⁺% than the NHR group (P=0.018) and a higher NK% than the NHR group (P=0.029). Multivariate logistic regression analysis indicated that a high CD4⁺% was a risk factor for poor treatment efficacy (OR=1.062), whereas a high NK% was a protective factor (OR=0.820). The area under the curve for the prediction of HR in pediatric AA by combining CD4⁺% and NK% was 0.812.
CONCLUSIONS
A higher CD4⁺% at diagnosis is a predictor of poor treatment response, whereas a higher NK% is associated with better outcomes.
Humans
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Anemia, Aplastic/blood*
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Male
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Female
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Killer Cells, Natural
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Child
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Retrospective Studies
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Child, Preschool
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Prognosis
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Adolescent
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CD4-Positive T-Lymphocytes
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Infant
3.Astragalin Regulates Autophagy and Apoptosis of Astrocytes in L4-5 Spinal Dorsal Horn of Mouse Inflammatory Pain Model
Weishan ZHANG ; Jiahong LIN ; Can WANG ; Runheng ZHANG ; Junhua YANG ; Jing LIU ; Guoying LI ; Yuxin MA
Journal of Sun Yat-sen University(Medical Sciences) 2025;46(2):186-196
ObjectiveTo explore the effects of astragalin (AST) on autophagy and apoptosis of astrocytes in the L4-5 dorsal horn of the spinal cord in mice with inflammatory pain induced by complete Freund's adjuvant (CFA). MethodsTwenty-four male C57BL/6 mice, aged six months, were randomly assigned to four groups: control group, saline group, CFA model group, and CFA+AST group, six mice in each group. The inflammatory pain model was established by injection of 10 µL CFA into the right lateral malleolus fossa. The saline group were injected with an equal amount of normal saline at the same site. The inflammatory pain mice in CFA+AST group were further treated with AST (60 mg/kg) intraperitoneally once a day for 21 consecutive days. Multiplex immunofluorescence staining was used to detect the coexpression of autophagy-related factors including ATG 12 and Beclin-1, apoptosis-related factors including Cleaved-Caspase3 and Caspase9, and the astrocyte marker such as GFAP in the L4-5 spinal dorsal horn of the mice in each group. Western blot was used to examine the protein expression levels of autophagy-related proteins(ATG12, Beclin-1) and apoptosis-related proteins(Caspase 3, Caspase 9) in the L4-5 spinal dorsal horn of mice. ResultsImmunofluorescent staining showed that in the L4-5 dorsal horn of the spinal cord, the fluorescence intensity of ATG12 (P<0.000 1) and Beclin-1 (P<0.000 1) was significantly increased, while that of Cleaved-Caspase 3 (P<0.001) and Caspase 9 (P<0.000 1) was decreased in the CFA+AST group when compared to the CFA model group. Furthermore, AST could inhibit the activation of astrocytes. Western blot further confirmed that AST significantly upregulated the expression of ATG12 (P<0.000 1) and Beclin-1 (P<0.000 1) in the L4-5 spinal cord of CFA mice, and downregulated the expression of Caspase 3 (P<0.01) and Caspase 9 (P<0.001). ConclusionsAST promotes autophagy of astrocytes and inhibits their apoptosis in the L4-5 spinal dorsal horn of CFA mice.
4.The Implementation, Clinical Progress and Technical Challenges of Implantable Brain-Computer Interface Systems
Wen-Can QIU ; Liang MA ; Hao-Yue GUO ; Jun-Jie YANG ; Xiao-Jian LI
Progress in Biochemistry and Biophysics 2024;51(10):2478-2497
The breakthrough progress of implantable brain-computer interfaces (iBCIs) technology in the field of clinical trials has attracted widespread attention from both academia and industry. The development and advancement of this technology have provided new solutions for the rehabilitation of patients with movement disorders. However, challenges from many aspects make it difficult for iBCIs to further implement and transform technologies. This paper illustrates the key challenges restricting the large-scale development of iBCIs from the perspective of system implementation, then discusses the latest clinical application progress in depth, aiming to provide new ideas for researchers. For the system implementation part, we have elaborated the front-end signal collector, signal processing and decoder, then the effector. The most important part of the front-end module is the neural electrode, which can be divided into two types: piercing and attached. These two types of electrodes are newly classified and described. In the signal processing and decoder section, we have discussed the experimental paradigm together with signal processing and decoder for the first time and believed that the experimental paradigm acts as a learning benchmark for decoders that play a pivotal role in iBCIs systems. In addition, the characteristics and roles of the effectors commonly used in iBCIs systems, including cursors and robotic arms, are analyzed in detail. In the clinical progress section, we have divided the latest clinical progress into two categories: functional rehabilitation and functional replacement from the perspective of the application scenarios of iBCIs. Functional rehabilitation and functional replacement are two different types of application, though the boundary between the two is not absolute. To this end, we have first introduced the corresponding clinical trial progress from the three levels: application field, research team, and clinical timeline, and then conducted an in-depth discussion and analysis of their functional boundaries, in order to provide guidance for future research. Finally, this paper mentions that the key technical challenges in the development of iBCIs technology come from multiple aspects. First of all, from the signal acquisition level, high-throughput and highly bio-compatible neural interface designing is essential to ensure long-term stable signal acquisition. The electrode surface modification method and electrode packaging were discussed. Secondly, in terms of decoding performance, real-time, accurate, and robust algorithms have a decisive impact on improving the reliability of iBCIs systems. The third key technology is from the perspective of practicality, we believe that the signal transmission mode of wireless communication is the trend of the future, but it still needs to overcome challenges such as data transmission rate and battery life. Finally, we believe that issues such as ethics, privacy, and security need to be addressed through legal, policy, and technological innovation. In summary, the development of iBCIs technology requires not only the unremitting efforts of scientific researchers, but also the participation and support of policymakers, medical professionals, technology developers, and all sectors of society. Through interdisciplinary collaboration and innovation, iBCIs technology will achieve wider clinical applications in the future and make important contributions to improving the quality of life of patients.
5.Synthesis of ornithine peptidomimetic efflux pump inhibitors and synergistic antibiotic activity against Pseudomonas aeruginosa
Xi ZHU ; Xi-can MA ; Xin-tong ZHANG ; Yi-shuang LIU ; Ning HE ; Yun-ying XIE ; Dan-qing SONG
Acta Pharmaceutica Sinica 2024;59(6):1720-1729
In order to solve the problem of resistance of
6.Three-dimensional finite element analysis of effects of different bone densities on various intraarticular structures after unicompartmental knee arthroplasty
Mengfei LIU ; Pengcheng MA ; Can YIN ; Kan JIANG ; Xiaochen JU
Chinese Journal of Tissue Engineering Research 2024;28(24):3801-3806
BACKGROUND:Osteoporosis is a common comorbidity in patients with knee osteoarthritis.The impact of osteoporosis on the prognosis of unicompartmental knee arthroplasty is a trending topic of current research. OBJECTIVE:To investigate the effect of different bone densities on the stress value and stress distribution of each structure in the joint after unicompartmental knee arthroplasty using finite element analysis,and to evaluate the correlation between osteoporosis and complications. METHODS:CT and MRI were adopted to obtain the lower limb image data of a volunteer.Geomagic Studio,Ansys workbench,and Mimics were used to establish a finite element model of the knee joint with normal sclerotin condition(T-value≥-1.0).The finite element model of the knee joint with osteopenia(-2.5
7.Microbiomes combined with metabolomics reveals the changes of microbial and metabolic profile of articular cavity effusion in rheumatoid arthritis, urarthritis and osteoarthritis patients
Hanzhi Yi ; Wukai Ma ; Minhui Wang ; Chunxia Huang ; Guangzhao Gu ; Dan Zhu ; Hufan Li ; Can Liu ; Fang Tang ; Xueming Yao ; Liping Sun ; Nan Wang ; Changming Chen
Acta Universitatis Medicinalis Anhui 2024;59(12):2237-2245
Objective:
To investigate the changes of microorganisms and metabolites in joint effusion of patients with Rheumatoid arthritis(RA), Osteoarthritis(OA) and Urarthritis(UA). To provide new ideas for the study of the effect of microbiota on the pathogenesis of arthritis.
Methods:
Joint effusion samples were collected from 20 patients with RA, 20 patients with OA, and 20 patients with UA. 16S rRNA gene sequencing and untargeted ultra-high performance Liquid chromatography-mass spectrometry(LC-MS) were used to explore the differences in microorganisms and metabolites among the three groups. Pearson correlation analysis was used to detect the correlation between effusion microbiota and metabolites.
Results:
There were differences in microbial diversity and microbiota composition among the three groups. Combined with VIP>1 from OPLS-DA andP<0.05 from two-tailed Students t-test, 45 differential metabolites(Between RA and OA groups), 38 differential metabolites(Between UA and OA groups) and 16 differential metabolites(Between RA and UA groups), were identified. GO analysis and KEGG pathway analysis showed that the differential metabolic pathways among the three groups were mainly concentrated in citric acid cycle(TCA cycle), nucleotide metabolism, amino acid metabolism and glycolysis pathway. Correlation analysis of joint effusion microbiota and metabolites suggested that bacteria enriched in the three groups of joint effusion, such asPrevotella,Clostridium ruminosus,Prevotellaceae_UCG-001, were related to many key metabolites such as lysozyme, uric acid, glucose, and L-glutamine.
Conclusion
This study shows that there are a variety of bacterial flora in joint cavity effusion of RA, OA, and UA patients, and the differential metabolites produced by them are involved in the pathogenesis of the three types of arthritis by affecting a variety of metabolic pathways.
8.The expression of System Xc-/ GSH / GPX4 ferroptosis pathway in peripheral blood mononuclear cells of rheumatoid arthritis patients and its effect on the secretion of inflammatory factors
Can Liu ; Wukai Ma ; Changming Chen ; Yang An ; Zong Jiang ; Hai Huang
Acta Universitatis Medicinalis Anhui 2024;59(1):64-70
Objective :
To investigate the expression of genes and proteins in the peripheral blood mononuclear cell ( PBMC) cystine / glutamate antiporter system (System Xc-) / glutathione ( GSH) / glutathione peroxidase 4 ( GPX4) ferroptosis pathway and its influence on inflammatory factors in patients with rheumatoid arthritis ( RA) .
Methods :
30 patients with RA and 30 healthy participants were enrolled.PBMCs were isolated using Ficoll-hypaque density gradient centrifugation.The cells were categorized into the healthy control,RA,ferroptosis inhibitor,ferroptosis in- ducer group.The cell viability was checked using the cell counting kit-8 ( CCK-8) method.Intracellular Fe2 + rela- tive fluorescence intensity and reactive oxygen species (ROS) levels were detected using the FerroOrange and Di- hydroethidium (DHE) fluorescent probes,respectively.Western blot and real-time quantitative PCR (qPCR) de- tected the expression of nuclear factor erythroid 2-related factor 2 ( Nrf2 ) ,solute carrier family 7 member 11 (SLC7A11) ,GPX4 proteins and mRNA.And the flow cytometry quantified the levels of tumor necrosis factor α (TNF-α) ,Interleukin (IL) -1,and IL-6 in the supernatant of each cell group.
Results :
Compared to the healthy control group,the RA group showed a significantly increased Fe2 + concentration and elevated ROS levels,reduced expression of Nrf2,SLC7A11 and GPX4 proteins and mRNA,and increased contents of TNF-α , IL-1 and IL-6 in PBMC supernatant,and the differences were statistically significant.The concentration of Fe2 + and ROS levels in the inhibitor group were lower than those in the RA group,the proteins expressions of Nrf2,SLC7A11 and GPX4 increased,the mRNA expressions of SLC7A11 and GPX4 increased,the content of IL-6 in the PBMC supernatant decreased but the content of TNF-α increased,and the differences were statistically significant.In contrast,the in- ducer group,when compared to the RA group,displayed increased ROS levels,reduced expression of SLC7A11 protein and mRNA and decreased expression of Nrf2 protein,and the contents of TNF-α and IL-1 in the PBMC su- pernatant increased,but the expression of GPX4 protein increased ,and the differences were statistically signifi- cant.The inducer group,compared to the RA group,showed increased cell viability,and the difference was statis-
tically significant (P<0. 000 1) .
Conclusion
The presence of ferroptosis in PBMC in RA patients,inhibiting or inducing PBMC ferroptosis in RA patients,will inhibit or promote the secretion of inflammatory factors.Inhibition of PBMC ferroptosis in RA patients may be helpful in the treatment of RA.
9.Study on the influencing factors and risk prediction model for proteinuria in patients with malignant tumors induced by apatinib
Can HUANG ; Shuan WANG ; Jun MA ; Yan GUO ; Lamei QI
China Pharmacy 2024;35(22):2779-2783
OBJECTIVE To study the influencing factors for proteinuria in patients with malignant tumors treated with apatinib, then establish and evaluate a risk prediction model based on it. METHODS A total of 120 patients with malignant tumors treated with apatinib in our hospital from January 2020 to December 2022 were selected as the training set, and the clinical data was collected. Univariate analysis and multivariate Logistic regression analysis were used to identify independent risk factors for proteinuria associated with apatinib and then construct a risk prediction model. The predictive value of the model was evaluated by using the receiver operator characteristic (ROC) curve. A total of 34 patients with malignant tumors treated with apatinib from January to December 2023 in our hospital were selected as the validation set, and their clinical data were obtained to cross-validate the accuracy of the prediction model. RESULTS The incidence of proteinuria in the training set of 120 patients was 26.67%. The proportions of patients with smoking history, combined hypertension, apatinib daily dose of ≥500 mg, and alanine aminotransferase level were significantly higher in proteinuria group than those in non-proteinuria group. At the same time,the neutrophilic granulocyte count was significantly lower than that in non-proteinuria group (P<0.05). Patients with smoking history and combined hypertension were the independent risk factors for apatinib-induced proteinuria (odds ratios were 5.005 and 5.342, respectively; with 95% confidence intervals of 1.806- 13.872 and 1.227-9.602, respectively; P<0.05). The binary Logistic regression model equation for the probability (P) of apatinib- induced proteinuria is expressed as LogitP=1.610XMH+1.233XSH-1.483 (MH for combined hypertension, SH for the smoking history), with a model accuracy of 80.0%. ROC curve analysis demonstrated the area under the ROC curve of 0.771, the maximum Youden’s index of 0.474, and the optimal cut-off value for LogitP was 0.159 9, with a sensitivity of 90.6% and specificity of 56.8%. Cross-validation results indicated an overall prediction accuracy of 88.24% for the 34 patients. CONCLUSIONS Combined hypertension and smoking history are independent risk factors for apatinib-induced proteinuria. The constructed risk prediction model has moderate predictive value and can be used to predict the risk of proteinuria in patients with malignant tumors induced by apatinib.
10.Efficacy and safety of nicorandil and ticagrelor de-escalation after percutaneous coronary intervention for elderly patients with acute coronary syndrome
Xiang SHAO ; Ning BIAN ; Hong-Yan WANG ; Hai-Tao TIAN ; Can HUA ; Chao-Lian WU ; Bei-Xing ZHU ; Rui CHEN ; Jun-Xia LI ; Tian-Chang LI ; Lu MA
Medical Journal of Chinese People's Liberation Army 2024;49(1):75-81
Objective To explore the efficacy and safety of ticagrelor de-escalation and nicorandil therapy in elderly patients with acute coronary syndrome(ACS)after percutaneous coronary intervention(PCI).Methods A total of 300 elderly patients with ACS were selected from the Sixth and Seventh Medical Center of Chinese PLA General Hospital and Beijing Chaoyang Integrative Medicine Emergency Rescue and First Aid Hospital from November 2016 to June 2019,including 153 males and 147 females,aged>65 years old.All the patients received PCI,and all had double antiplatelet therapy(DAPT)scores≥2 and a new DAPT(PRECISE-DAPT)score of≥25.All patients were divided into two groups by random number table method before operation:ticagrelor group(n=146,ticagrelor 180 mg load dose followed by PCI,and ticagrelor 90 mg bid after surgery)and ticagrelor de-escalation + nicorandil group(n=154,ticagrelor 180 mg load dose followed by PCI,ticagrelor 90 mg bid+nicorandil 5 mg tid after surgery,changed to ticagrelor 60 mg bid+ nicorandil 5 mg tid 6 months later).Follow-up was 12 months.The composite end points of cardiovascular death,myocardial infarction and stroke,the composite end points of mild hemorrhage,minor hemorrhage,other major hemorrhage and major fatal/life-threatening hemorrhage as defined by the PLATO study,and the composite end points of cardiovascular death,myocardial infarction,stroke and bleeding within 12 months in the two groups were observed.Results The comparison of general baseline data between the two groups showed no statistically significant difference(P>0.05).There was also no significant difference in the composite end points of cardiovascular death,myocardial infarction and stroke between the two groups(P>0.05).The cumulative incidence of bleeding events in ticagrelor de-escalation + nicorandil group was significantly lower than that in ticagrelor group(P<0.05),while the composite end points of cardiovascular death,myocardial infarction,stroke and bleeding were also significantly lower than those in tecagrelor group(P<0.05).Conclusion In elderly patients with ACS,the treatment of ticagrelor de-escalation + nicorandil after PCI may not increase the incidence of ischemic events such as cardiovascular death,myocardial infarction or stroke,and it may reduce the incidence of hemorrhagic events.


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