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.Stem cell-based therapeutic strategies for liver aging
Huan NIU ; Yan-Nan WANG ; Yu DING ; Yu-Qing LIN ; Jian QIN ; Jian-Cheng WANG
Liver Research 2025;9(2):118-131
Aging is characterized by a gradual deterioration of the physiological integrity of cells,tissues,and or-gans,resulting in a decrease in the body's physiological functions and an acceleration of the onset of age-related diseases,ultimately leading to death.The aging of the liver,which is a critical metabolic organ,is closely linked to various chronic liver diseases,such as hepatitis,liver fibrosis,and cirrhosis,and it ex-acerbates their prognosis and is a primary risk factor for their development at all stages.Therefore,a comprehensive understanding of the causes,mechanisms,and potential therapeutic targets associated with liver aging holds significant clinical importance for delaying or potentially reversing liver aging and for treating chronic liver diseases.Stem cells,which are potential anti-aging agents,present a promising and effective alternative for managing liver aging.In this review,we systematically assess the driving factors,characteristics,and underlying mechanisms of liver aging.We then discuss the current status of the use of stem cells to mitigate liver senescence and address related liver diseases.The review reveals that a stem cell-based approach represents a promising therapeutic strategy for combating liver aging and associated diseases.
4.Correlation between differences in starch gelatinization, water distribution, and terpenoid content during steaming process of Curcuma kwangsiensis root tubers by multivariate statistical analysis.
Yan LIANG ; Meng-Na YANG ; Xiao-Li QIN ; Zhi-Yong ZHANG ; Zhong-Nan SU ; Hou-Kang CAO ; Ke-Feng ZHANG ; Ming-Wei WANG ; Bo LI ; Shuo LI
China Journal of Chinese Materia Medica 2025;50(10):2684-2694
To elucidate the mechanism by which steaming affects the quality of Curcuma kwangsiensis root tubers, methods such as LSCM, RVA, dual-wavelength spectrophotometry, LF-NMR, and LC-MS were employed to qualitatively and quantitatively detect changes in starch gelatinization characteristics, water distribution, and material composition of C. kwangsiensis root tubers under different steaming durations. Based on multivariate statistical analysis, the correlation between differences in gelatinization parameters, water distribution, and terpenoid material composition was investigated. The results indicate that steaming affects both starch gelatinization and water distribution in C. kwangsiensis. During the steaming process, transformations occur between amylose and amylopectin, as well as between semi-bound water and free water. After 60 min of steaming, starch gelatinization and water distribution reached an equilibrium state. The content of amylopectin, the amylose-to-amylopectin ratio, and parameters such as gelatinization temperature, viscosity, breakdown value, and setback value were significantly correlated(P≤0.05). Additionally, the amylose-to-amylopectin ratio was significantly correlated with total free water and total water content(P≤0.05). Steaming induced differences in the material composition of C. kwangsiensis root tubers. Clustering of primary metabolites in the OPLS-DA model was distinct, while secondary metabolites were classified into 9 clusters using the K-means clustering algorithm. Differential terpenoid metabolites such as(-)-α-curcumene were significantly correlated with zerumbone, retinal, and all-trans-retinoic acid(P<0.05). Curcumenol was significantly correlated with isoalantolactone and ursolic acid(P<0.05), while all-trans-retinoic acid was significantly correlated with both zerumbone and retinal(P<0.05). Alpha-tocotrienol exhibited a significant correlation with retinal and all-trans-retinoic acid(P<0.05). Amylose was extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and α-tocotrienol(P<0.05). Amylopectin was significantly correlated with zerumbone(P<0.05) and extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and 9-cis-retinoic acid(P<0.01). The results provide scientific evidence for elucidating the mechanism of quality formation of steamed C. kwangsiensis root tubers as a medicinal material.
Curcuma/chemistry*
;
Starch/chemistry*
;
Multivariate Analysis
;
Water/chemistry*
;
Terpenes/analysis*
;
Plant Roots/chemistry*
;
Plant Tubers/chemistry*
;
Drugs, Chinese Herbal/chemistry*
5.Development and Initial Validation of the Multi-Dimensional Attention Rating Scale in Highly Educated Adults.
Xin-Yang ZHANG ; Karen SPRUYT ; Jia-Yue SI ; Lin-Lin ZHANG ; Ting-Ting WU ; Yan-Nan LIU ; Di-Ga GAN ; Yu-Xin HU ; Si-Yu LIU ; Teng GAO ; Yi ZHONG ; Yao GE ; Zhe LI ; Zi-Yan LIN ; Yan-Ping BAO ; Xue-Qin WANG ; Yu-Feng WANG ; Lin LU
Chinese Medical Sciences Journal 2025;40(2):100-110
OBJECTIVES:
To report the development, validation, and findings of the Multi-dimensional Attention Rating Scale (MARS), a self-report tool crafted to evaluate six-dimension attention levels.
METHODS:
The MARS was developed based on Classical Test Theory (CTT). Totally 202 highly educated healthy adult participants were recruited for reliability and validity tests. Reliability was measured using Cronbach's alpha and test-retest reliability. Structural validity was explored using principal component analysis. Criterion validity was analyzed by correlating MARS scores with the Toronto Hospital Alertness Test (THAT), the Attentional Control Scale (ACS), and the Attention Network Test (ANT).
RESULTS:
The MARS comprises 12 items spanning six distinct dimensions of attention: focused attention, sustained attention, shifting attention, selective attention, divided attention, and response inhibition.As assessed by six experts, the content validation index (CVI) was 0.95, the Cronbach's alpha for the MARS was 0.78, and the test-retest reliability was 0.81. Four factors were identified (cumulative variance contribution rate 68.79%). The total score of MARS was correlated positively with THAT (r = 0.60, P < 0.01) and ACS (r = 0.78, P < 0.01) and negatively with ANT's reaction time for alerting (r = -0.31, P = 0.049).
CONCLUSIONS
The MARS can reliably and validly assess six-dimension attention levels in real-world settings and is expected to be a new tool for assessing multi-dimensional attention impairments in different mental disorders.
Humans
;
Adult
;
Male
;
Attention/physiology*
;
Female
;
Middle Aged
;
Reproducibility of Results
;
Young Adult
;
Psychometrics
6.Recommendations for the clinical use of anti-amyloid-β monoclonal antibody for Alzheimer's disease(2025)
Nan ZHI ; Jinwen XIAO ; Rujing REN ; Binyin LI ; Jintao WANG ; Jieli GENG ; Wenwei CAO ; Yaying SONG ; Hualong WANG ; Shuguang CHU ; Guoping PENG ; Jun LIU ; Xiaoyun LIU ; Fang YUAN ; Wen WANG ; Ronghua DOU ; Xia LI ; Ling YUE ; Wenshi WEI ; Xiaoling PAN ; Xiangyang ZHU ; Dian HE ; Weinü FAN ; Jingping SHI ; Nan ZHANG ; Hui ZHAO ; Qin CHEN ; Cuibai WEI ; Xiaochun CHEN ; Gang WANG
Journal of Chongqing Medical University 2025;50(9):1133-1140
In recent years,significant breakthroughs have been achieved in the immunotherapy for Alzheimer's disease.In line with global advancements,two anti-amyloid-β monoclonal antibodies have been approved and successfully launched in China for clinical use.Lecanemab and Donanemab were officially used in June 2024 and April 2025 in China,respectively.In order to standardize the rational and safe application of anti-amyloid-β monoclonal antibodies for Alzheimer's disease in China,this article integrates recom-mendations from the clinical trials and real-world experience from the author's team and domestic peers to further update the recom-mendations for the clinical use of anti-amyloid-β monoclonal antibody based on the 2024 version.It includes indications for therapy,pre-treatment evaluation and preparation,administration protocols and safety measures during treatment,and post-treatment monitor-ing strategies.
7.Comparative Analysis of Relationship Between Five Medicinal Tastes and Reinforcing-Reducing Effect in Huangdi Neijing and Fuxingjue
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(12):234-238
The "theory of Zangqi method" in Huangdi Neijing the "Tangye Jingfa picture" in Dunhuang's posthumous book Fuxingjue both contain the relationship between the five medicinal tastes and the reinforcing-reducing treatment of the five Zang organs. This article made a systematic comparative analysis of the two methods from the aspects of narrative methods, specific content, mathematical logic, clinical experience, and real treatment effect. From the perspective of narrative methods, they both adopted the expression structure of three medicinal tastes corresponding to one organ, which were respectively described as tonic, laxative, and urgent tastes, with the same way of thinking and the narrative frame shared. From the perspective of reinforcing-reducing content, out of a total of 15 attributes related to the corresponding tonic, laxative, and urgent tastes of the five organs involved in the two methods, there were seven inconsistencies between the two methods. In terms of medicinal taste distribution, the "Tangye Jingfa Tu" presented the order of "liver, heart, spleen, lung, and kidney", Whether tonic, laxative, or transforming tastes, they were all pungent, salty, sweet, sour, or bitter. However, the "theory of Zangqi method" showed no such pattern. From the perspective of mathematical modeling analysis, the distribution of medicinal tastes in the "Tangye Jingfa Tu" conformed to the mathematical logic of the outer product of a five-dimensional space vector, while the "theory of Zangqi method" had no such law. From the perspective of clinical experience, the effect of removing the heart-fire with a bitter taste in the "Tangye Jingfa Tu" was more consistent with the clinical cognition of clearing heat and detoxification effects of traditional Chinese medicine (TCM) with a sweet taste in the "theory of Zangqi method". From the perspective of understanding prescriptions and solving prescriptions, the combination and compatibility principle of 160 common classical prescriptions in the Formulas of Traditional Chinese Medicine can be analyzed by using the "Tangye Jingfa Tu". Therefore, the authors believed that the relationship between the five medicinal tastes and the reinforcing-reducing treatment of the five zang organs in the Fuxingjue was more rigorous and logical, in line with clinical empirical cognition than the relevant records in the Yellow Emperor's Canon of Medicine.
8.Comparative Analysis of Relationship Between Five Medicinal Tastes and Reinforcing-Reducing Effect in Huangdi Neijing and Fuxingjue
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(12):234-238
The "theory of Zangqi method" in Huangdi Neijing the "Tangye Jingfa picture" in Dunhuang's posthumous book Fuxingjue both contain the relationship between the five medicinal tastes and the reinforcing-reducing treatment of the five Zang organs. This article made a systematic comparative analysis of the two methods from the aspects of narrative methods, specific content, mathematical logic, clinical experience, and real treatment effect. From the perspective of narrative methods, they both adopted the expression structure of three medicinal tastes corresponding to one organ, which were respectively described as tonic, laxative, and urgent tastes, with the same way of thinking and the narrative frame shared. From the perspective of reinforcing-reducing content, out of a total of 15 attributes related to the corresponding tonic, laxative, and urgent tastes of the five organs involved in the two methods, there were seven inconsistencies between the two methods. In terms of medicinal taste distribution, the "Tangye Jingfa Tu" presented the order of "liver, heart, spleen, lung, and kidney", Whether tonic, laxative, or transforming tastes, they were all pungent, salty, sweet, sour, or bitter. However, the "theory of Zangqi method" showed no such pattern. From the perspective of mathematical modeling analysis, the distribution of medicinal tastes in the "Tangye Jingfa Tu" conformed to the mathematical logic of the outer product of a five-dimensional space vector, while the "theory of Zangqi method" had no such law. From the perspective of clinical experience, the effect of removing the heart-fire with a bitter taste in the "Tangye Jingfa Tu" was more consistent with the clinical cognition of clearing heat and detoxification effects of traditional Chinese medicine (TCM) with a sweet taste in the "theory of Zangqi method". From the perspective of understanding prescriptions and solving prescriptions, the combination and compatibility principle of 160 common classical prescriptions in the Formulas of Traditional Chinese Medicine can be analyzed by using the "Tangye Jingfa Tu". Therefore, the authors believed that the relationship between the five medicinal tastes and the reinforcing-reducing treatment of the five zang organs in the Fuxingjue was more rigorous and logical, in line with clinical empirical cognition than the relevant records in the Yellow Emperor's Canon of Medicine.
9.Clinical and Ultrasound Manifestations of Immune Checkpoint Inhibitor-Associated Enterocolitis:Report of One Case.
Xiao-Yan ZHANG ; Jing QIN ; Xiao-Qing LI ; Guan-Nan ZHANG ; Wen-Bo LI
Acta Academiae Medicinae Sinicae 2025;47(5):771-775
Immune checkpoint inhibitor-associated enterocolitis is an immune-related adverse reaction during tumor treatment with immune checkpoint inhibitors.In this article,we present the clinical data and ultrasound manifestations of a patient with immune checkpoint inhibitor-associated enterocolitis,aiming to share diagnostic and therapeutic insights.
Humans
;
Immune Checkpoint Inhibitors/adverse effects*
;
Enterocolitis/chemically induced*
;
Ultrasonography
;
Male
10.The Role of the Modified Endothelial Activation and Stress Index (mEASIX) in Predicting the Efficacy of CAR-T Cell Therapy and Cytokine Release Syndrome (CRS).
Jin HU ; Qian-Nan HAN ; Feng-Yi LU ; Xin-Yue ZHOU ; Zhi-Qin YANG ; Kai-Lin XU ; Wei CHEN
Journal of Experimental Hematology 2025;33(4):1190-1198
OBJECTIVE:
To investigate the predictive role of the modified Endothelial Activation and Stress Index (mEASIX) in the efficacy of chimeric antigen receptor T-cell (CAR-T) therapy and cytokine release syndrome (CRS).
METHODS:
The clinical data of 70 relapsed and refractory (R/R) B-cell tumor patients who were treated with CAR-T therapy from September 1, 2018 to February 28, 2023 in the Department of Hematology, Affiliated Hospital of Xuzhou Medical University, were retrospectively analyzed. The value of log-2 mEASIX before conditioning (-7 d) was calculated, and the patients were divided into a low-mEASIX group (42 patients) and a high-mEASIX group (28 patients) based on the cut-off value of 5.443 determined by the receiver operating characteristic (ROC) curve. Eventually, the predictive role of mEASIX before conditioning on the efficacy of CAR-T cell therapy and CRS was analyzed.
RESULTS:
The high-mEASIX group exhibited significantly worse median overall survival (OS) and median progression-free survival (PFS) in comparison to the low mEASIX group (OS: 3.2 months vs not reached, P < 0.01; PFS: 1.3 months vs 6.0 months, P =0.009). The incidence of grade ≥2 CRS in the high-mEASIX group was substantially higher than that in the low-mEASIX group (57.1% vs 19.0%, P =0.007). The degree of remission after CAR-T therapy (P =0.001), whether CRS occurs or not (P =0.041), the lactate dehydrogenase (LDH) level before conditioning (P =0.046), and the mEASIX score before conditioning (P =0.047) were independent influencing factors for the OS of patients receiving CAR-T cell therapy.
CONCLUSION
The mEASIX score before conditioning can predict OS and the incidence of grade ≥2 CRS in patients with relapsed and refractory B-cell tumors who receive CAR-T cell therapy.
Cytokine Release Syndrome/therapy*
;
Immunotherapy, Adoptive/methods*
;
Humans
;
Lymphoma, B-Cell/therapy*
;
Retrospective Studies
;
Hematology
;
China
;
Receptors, Chimeric Antigen/blood*
;
Predictive Value of Tests

Result Analysis
Print
Save
E-mail