1.Effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis:machine learning and 16S rDNA analysis
Fucheng GU ; Meixin YANG ; Weixin WU ; Weijun CAI ; Yangyi QIN ; Mingyi SUN ; Jian SUN ; Qiudong GENG ; Nan LI
Chinese Journal of Tissue Engineering Research 2026;30(4):1058-1072
BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P<0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P<0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P<0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.
2.Effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis:machine learning and 16S rDNA analysis
Fucheng GU ; Meixin YANG ; Weixin WU ; Weijun CAI ; Yangyi QIN ; Mingyi SUN ; Jian SUN ; Qiudong GENG ; Nan LI
Chinese Journal of Tissue Engineering Research 2026;30(4):1058-1072
BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P<0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P<0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P<0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.
3.Exploring on Quality Evaluation Methods of Clinical Case Reports in Traditional Chinese Medicine Based on China Clinical Cases Library of Traditional Chinese Medicine
Kaige ZHANG ; Feng ZHANG ; Bo ZHOU ; Haimin CHEN ; Yong ZHU ; Changcheng HOU ; Liangzhen YOU ; Weijun HUANG ; Jie YANG ; Guoshuang ZHU ; Shukun GONG ; Jianwen HE ; Yang YE ; Yuqiu AN ; Chunquan SUN ; Qingjie YUAN ; Buman LI ; Xingzhong FENG ; Kegang CAO ; Hongcai SHANG ; Jihua GUO ; Xiaoxiao ZHANG ; Zhining TIAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(1):271-276
As the core vehicle for preserving and transmitting traditional Chinese medicine(TCM) academic thought and clinical experience, the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine, this study conducted a comprehensive analysis of critical challenges, including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic, encompassing three dimensions of authenticity and standardization, characteristics and advantages, application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment, while aligning with modern scientific research standards, achieving a balance between individualized TCM experience and standardized evaluation. Concurrently, this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases, contributing significantly to the inheritance of TCM knowledge, evidence-based practice, and the reform of talent evaluation mechanisms.
4.Analysis of diagnosis and treatment of Epstein-Barr virus-negative diffuse large B-cell lymphoma (GCB type) after kidney transplantation
Yan LI ; Xiaoyan ZHANG ; Xiang REN ; Tong XU ; Guohui WANG ; Ruochen QI ; Dongjuan WU ; Kepu LIU ; Weijun QIN ; Shuaijun MA
Organ Transplantation 2026;17(2):257-265
Objective To analyze the clinical and therapeutic characteristics of Epstein-Barr virus (EBV)-negative posttransplant lymphoproliferative disease (PTLD) with diffuse large B-cell lymphoma (DLBCL) in the context of specific cases and literature. Methods A case of EBV-negative DLBCL (GCB type) after kidney transplantation is reported. The patient was a 45-year-old male who underwent living-related kidney transplantation in 2016 and has been receiving triple immunosuppressive therapy with tacrolimus, mycophenolate mofetil and methylprednisolone since then. In 2024, the patient presented with intermittent fever, night sweats and gastrointestinal symptoms. The diagnosis was confirmed by endoscopic pathology, immunohistochemical staining and positron emission tomography/computed tomography. The R-CDOP regimen (rituximab + cyclophosphamide + liposomal doxorubicin + vincristine + dexamethasone) was used for treatment. Results The patient was diagnosed with EBV-negative DLBCL (GCB type, Ann Arbor stage Ⅳ B). After 4 cycles of R-CDOP chemotherapy, the efficacy assessment was partial remission, and the transplant kidney function remained stable. Conclusions For EBV-negative PTLD after kidney transplantation, it is necessary to break through the "virus-dependent" diagnostic thinking. In clinical practice, the focus should be on protecting the transplant kidney, and individualized treatment plans should be developed for patients.
5.Discussion on Modern Development of Traditional Chinese Medicine Diagnosis Based on Artificial Intelligence
Kun LIAN ; Xueqin WANG ; Duoting TAN ; Weijun LI ; Lin LI ; Xin LI ; Zhixi HU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(9):336-346
Traditional Chinese medicine (TCM) diagnostics is a discipline that studies the basic theories and fundamental skills of diagnostic methods, disease diagnosis, and differentiation in accordance with the theories of TCM. The artificial intelligence (AI) technology has gained remarkable achievements in the intelligentization of the four diagnostic methods in TCM and the standardization of differentiation and diagnosis. However, it still faces many challenges. The standardization of clinical data collection is difficult, and the data quality is uneven, which affects the usability of the data. The integration of the four diagnostic information is insufficient. Most instruments can only collect data from a single diagnostic method, lacking overall integrity. The scientific nature of the diagnostic model needs to be improved. The existing models lack dynamics and the reasoning logic of TCM differentiation. The accuracy of intelligent methods needs to be improved, and the existing evaluation indicators cannot fully reflect the practical application effect of the model. Furthermore, the relevant laws and regulations are still not perfect, and data security and patient privacy lack guarantees. The cultivation of compound talents is insufficient, and there is a lack of interdisciplinary talents who are proficient in both TCM and AI. On this basis, this paper expounded on the current development status, difficulties, and bottlenecks of AI in TCM diagnosis and then explored the development trend of AI in the field of TCM diagnosis. It proposed solutions such as optimizing the data collection process, constructing multimodal diagnostic models, facilitating multi-disciplinary exchanges and cooperation, improving laws and regulations, and cultivating compound talents. It is hoped that modern, standardized, normalized, and intelligent TCM diagnosis can be further promoted, thereby providing new impetus and methods for the inheritance and innovation of TCM.
6.Comparative analysis of the clinical characteristics of pneumococcal meningitis in different populations in Baoji, Shaanxi Province
Ruize WANG ; Weixuan LI ; Yuanyuan DONG ; Xiaoyu ZHANG ; Tiantian ZHOU ; Dan ZHANG ; Weijun HU
Journal of Public Health and Preventive Medicine 2026;37(2):59-63
Objective To compare the clinical characteristics of pneumococcal meningitis in different age groups, and to provide a basis for early diagnosis of pneumococcal meningitis. Methods Cerebrospinal fluid and/or serum samples were collected from 1742 suspected cases of meningitis in Baoji, Shaanxi Province from August 2013 to July 2019. Streptococcus pneumoniae was detected by isolation culture and real-time fluorescence quantitative polymerase chain reaction. Retrospective analysis of clinical manifestations, biochemical indicators and other information of laboratory confirmed cases was conducted by χ2 test or Fisher's exact test. Results A total of 1742 samples of encephalitis or meningitis cases were detected, and 41 cases were confirmed as laboratory-confirmed Streptococcus pneumoniae infection. Among them, there were 12 cases (29.27%) in the infant group, 14 cases (34.15%) in the child group, and 15 cases (36.59%) in the adult group. The proportion of the adults with headache was significantly higher than that of the infants (χ2=11.408,P<0.017). The proportion of the adults with consciousness disorder, elevated white blood cells and elevated neutrophils were significantly higher than those in the infant and the child groups(Fisher's exact test, P<0.017;χ2 =6.428,P<0.017;χ2 =10.898,P<0.017;χ2 =6.421,P<0.017;χ2 =9.758,P<0.017;χ2 =7.744,P<0.017). The proportion of the infants with cerebrospinal fluid turbidity was significantly higher than that of the children (Fisher's exact test,P<0.017). The proportion of the infants with decreased white blood cells and reduced glucose in cerebrospinal fluid was significantly higher than that of the children group and the adult group(Fisher's exact test, P<0.001;Fisher's exact test, P<0.001;Fisher's exact test, P<0.017; Fisher's exact test, P<0.017). Conclusion Most adult patients with pneumococcal meningitis have headache and consciousness disorders, with significantly increased proportion of white blood cells and neutrophils. Infant patients tend to have cloudy appearance of cerebrospinal fluid, leukopenia in blood, and decreased glucose in cerebrospinal fluid.
7.Design and application of one kind of device for exercise to frozen shoulder
Wenbo ZHANG ; Maobing TIAN ; Ting ZHANG ; Guodong LI ; Wenxu WU ; Zaifei CHEN ; Weijun KONG
China Medical Equipment 2025;22(6):175-179,185
Objective:To design a device for exercise to frozen shoulder,and explore its application effect.Methods:The main body of the device for exercise to frozen shoulder adopted stainless steel,which included horizontal frame and adjustable vertical column.It is suitable to the functional rehabilitation of the shoulder in patients with frozen shoulder or postoperative joint adhesions on shoulder.Fifty patients with frozen shoulder who admitted to Zunyi Hospital of Traditional Chinese Medicine between July 2019 and December 2022 were selected.They were randomly divided into observation group(n=25)and control group(n=25)by using a random number table.Both groups received injection therapy via anterior glenohumeral joint cavity.The observation group underwent treatment using the device for exercise to frozen shoulder,while the control group received conventionally functional exercises for shoulder.The Visual Analog Scale(VAS)scores,Shoulder Pain and Disability Index(SPADI)scores,and the range of motion(ROM)of shoulder were compared between the two groups at different periods before and after treatment.Results:VAS and SPADI scores in the observation group were significantly lower than those in the control group at the 2nd week,the 2nd month,and the 6th month post-treatment(t=3.368,3.597,4.363,t=2.301,3.553,3.513,P<0.05).Flexion and abduction ROM of shoulder in the observation group were significantly higher than those in the control group at the 2nd week,the 2nd month,and the 6th month post-treatment(t=3.116,2.909,3.687,t=2.299,2.171,2.413,P<0.05).External rotation ROM of shoulder in the observation group was significantly higher than that in the control group at the 2nd month and the 6th month post-treatment(t=2.501,3.576,P<0.05).Furthermore,there were significant differences in the VAS and SPADI scores of observation group among before treatment and after 2 weeks,2 months,and 6 months of treatment(F=8.021,6.108,P<0.05).Similarly,there were significant differences in flexion,abduction and external rotation ROM of shoulder in the observation group among before treatment and after 2 weeks,2 months,and 6 months of treatment(F=8.412,10.261,4.085,P<0.05).Conclusion:The self-designed device for exercise is safe and effective in short-term adjunctive treatment to frozen shoulder,which is one kind of alternative tool that is contribute to rehabilitation of frozen shoulder.
8.Application of risk assessment in the prevention and control of central line associated-bloodstream infection
Weijun PENG ; Li TAN ; Zhenling WANG ; Youhua HAO ; Qian LYU
Chinese Journal of Infection Control 2025;24(6):795-799
Objective To explore the effectiveness of risk assessment in the prevention and control of central line associated-bloodstream infection(CLABSI),identify high-risk departments and processes,and develop targeted measures to reduce the risk.Methods Healthcare-associated infection control risk assessment form designed by American Association for Professionals in Infection Control and Epidemiology(APIC)was applied to assess the risk factors for CLABSI in 13 intensive care units(ICUs)in a hospital.Each risk indicator was identified,analyzed,and evaluated from three dimensions:the likelihood of risk occurrence,severity of consequences,and integrity of the current management system.Results The risk assessment results found that the general ICU and respiratory ICU had extremely high risk,cardiac surgery ICU and organ transplant ICU had high risk.Through one-year continuous intervention,the incidence of CLABSI decreased significantly,the awareness rate of CLABSI prevention and control measures and the implementation rate of partial measures increased significantly(all P<0.05).Conclusion The application of risk assessment can screen high-risk departments,focus efforts on the intervention,and enhance the effectiveness of CLABSI risk prevention and control.
9.Application prospect of brain-computer interface technology in the rehabilitation of lower limb function in stroke patients
Ke WANG ; Lei WANG ; Wenshan LI ; Weijun GONG
Chinese Journal of Tissue Engineering Research 2025;29(14):3027-3033
BACKGROUND:In recent years,brain-computer interface technology has emerged as a transformative approach in human-computer interaction by recognizing movement intentions to control external devices.This technology has been utilized in the treatment of lower limb functions after stroke,offering new hope for the rehabilitation of stroke patients.OBJECTIVE:To analyze and summarize the application of brain-computer interface technology in the rehabilitation of lower limb motor functions in stroke patients in recent years,and to explore the clinical application value of brain-computer interface technology in the functional rehabilitation of the lower limbs in stroke patients.METHODS:A literature search in CNKI and PubMed was conducted using"stroke,brain-computer interfaces,lower extremity"as search terms in Chinese and English,respectively,with the search time range set from January 2014 to June 2024.RESULTS AND CONCLUSION:Brain-computer interfaces hold promising prospects for the recovery of lower limb motor function in stroke patients,and their application in the field of rehabilitation medicine is continuously expanding.However,the underlying mechanisms have not yet been fully elucidated.Moreover,there are certain limitations in the acquisition of electroencephalogram signals from patients,resulting in reduced precision for brain-computer interface systems in recognizing limb movements.Current decoding methods also exhibit constraints in identifying the gait cycle and fail to accurately locate voluntary movements of the various joints and muscles of the lower limbs,impeding the application of brain-computer interface technology.Subsequent research should focus on elucidating the neural mechanisms by which brain-computer interface technology facilitates the recovery of lower limb motor functions in stroke patients,refining the technologies and devices for extracting brain motor signals,and formulating multimodal feedback for individual patients to realize more effective motor rehabilitation.These advances could propel the development of brain-computer interface technology in the field of lower limb motor function recovery,ameliorate patient rehabilitation outcomes,and elevate the quality of life.
10.Analysis of safety and efficacy of the modified ALPPS in patients with primary liver cancer
Weijun WANG ; Jinzhen XU ; Yongsheng CHENG ; Guangwei NA ; Keji HE ; Rui LI ; Hongxia YUAN
Chinese Journal of Hepatobiliary Surgery 2025;31(11):801-805
Objective:To analyze the efficacy and safety of modified associating liver partition and portal vein ligation for staged hepatectomy (ALPPS) in the treatment of patients with primary liver cancer.Methods:Clinical data of 83 patients with hepatocellular carcinoma (HCC) undergoing hemihepatectomy in the Department of Hepatobiliary and Pancreatic Tumor Surgery of Gansu Provincial Cancer Hospital between January 2022 and November 2023 were retrospectively analyzed, including 53 males and 30 females, aged (54.0±6.5) years. According to the treatment protocol, patients were divided into the control group ( n=41), in which patients underwent traditional ALPPS, and the observation group ( n=42), in which patients underwent modified ALPPS (occlusion of portal venous branch using vascular clips, combined with radiofrequency ablation for physical separation of the diseased lobe, without liver mobilization). The completion rate of staged surgery, interval between surgeries, future liver remnant (FLR) growth rate at 7 days after first-stage surgery, alanine transaminase (ALT) and aspartate transaminase (AST) levels at 5 days after fisrt-stage surgery, and postoperative complications (ascites, nausea, and vomiting, etc.) were compared between the groups. Results:The completion rate of staged surgery was 95.2% (40/42) in the observation group and 90.2% (37/41) in the control group ( χ2=0.62, P=0.431). The ALT and AST levels at 5 days after first-stage surgery were (550.4±86.0) U/L and (327.1±52.8) U/L in the observation group, respectively, which were significantly lower than those in the control group (861.6±106.3) U/L and (533.8±73.7) U/L, respectively ( t=13.13 and P<0.001, t=12.93 and P<0.001). The FLR growth rate were higher in the observation group than that in the control group [(80.4±10.3)% vs (49.3±5.7)%; t=13.13, P<0.001] and the interval between procedures were also shorter in the observation group (10.9±2.1 vs 22.4±4.8, d; t=9.65, P<0.001). The intraoperative blood loss of the first-stage surgery was lower in the observation group than that in the control group (350.5±45.2 vs 825.5±21.7, ml; t=21.43, P<0.001). The total complication rates after the first-stage surgery were 11.9% (5/42) in the observation group and 19.5% (8/41) in the control group, while after the second-stage surgery, the complication rates were 7.5% (3/40) and 18.9% (7/37), respectively, with no statistically significant differences ( χ2=0.65 and P=0.419, χ2=1.81 and 0.177, respectively). Conclusion:The modified ALPPS offers better postoperative liver function, reduced surgical trauma, accelerated FLR growth, and a shorter interval between procedures, demonstrating a favorable safety in the treatment of primary liver cancer.


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