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.

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.

BACKGROUND: The STAR (Scientific, Transparent, and Applicable Rankings) working group conducts regular evaluations of Chinese guidelines and consensus statements. This study gathered insights from STAR working group members using qualitative interviews. METHODS: From March to August 2023, members of the STAR specialist committees were interviewed using semi-structured interview outline. The interviewees were selected through purpose-based sampling. Subject analysis was employed to summarize the findings. RESULTS: We conducted interviews with 37 members from 36 committees and summarized the contents into four main themes and 16 specific topics. The value of STAR in enhancing the development and selection of high-quality guidelines in China was commonly mentioned. Challenges identified included the lack of resources and suboptimal organizational structures, collaboration, and evaluation efficiency. Suggestions for the STAR tool included developing extensions for different guideline types, adjusting certain items, and better covering guideline applicability. The promotion of STAR and the consideration of an international committee for global outreach were also highlighted. CONCLUSION STAR has exerted a substantial influence on the evaluation of Chinese guidelines, and the insights gained from interviews offer valuable directions for its further enhancement.
Humans ; China ; Qualitative Research ; Practice Guidelines as Topic ; Interviews as Topic

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.

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.

AIM To prepare the sustained-release microspheres of ginsenosides.METHODS The sustained-release microspheres were prepared by SPG membrane emulsification technology with poly(lactic-co-glycolic acid)(PLGA)as a shell carrier.With PLGA concentration,feed rate and Span 60 concentration as influencing factors,comprehensive score for appearance,drug loading and encapsulation efficiency as an evaluation indice,the preparation process was optimized by response surface method.The morphology of sustained-release microspheres was observed,after which the particle size,drug loading and encapsulation efficiency were determined,and the in vitro drug release was investigated.RESULTS The optimal conditons were determined to be 45 s for agitation time of primary emulsion,74.68 mg/mL for PLGA concentration,11％for feed rate,and 4.18 mg/mL for Span 60 concentration,the comprehensive score was 74.98.The round sustained-release microspheres demonstrated the average particle size of 4.33 μm,drug loading of(8.24±0.13)％,and encapsulation efficiency of(74.94±1.17)％,respectively.At 336 h,ginsenosides Rg1,Rb1,Rb2 displayed the accumulative release rates of 84.12％,78.04％,65.88％,respectively.CONCLUSION This reasonable and feasible method can be used for the preparation of sustained-release microspheres of ginsenosides with good appearance and high drug loading,which can provide references for the preparation of other water-soluble drug microspheres and solution of microsphere collapse problem.

Objective:To assess the physical activity levels(PA)and patterns among older adults in rural areas, as well as to evaluate the association between PA levels and the conditions of sarcopenia and frailty.Methods:A cross-sectional survey was conducted involving 690 rural individuals aged 60 and above.Data on socio-demographic characteristics were collected, while Appendicular Skeletal Muscle Mass Index(ASMI)and grip strength were measured.The Physical Activity Scale for the Elderly(PASE)was employed to evaluate PA levels.Based on their PASE scores, participants were categorized into three groups: low PA level, medium PA level, and high PA level.Sarcopenia was defined according to the 2019 criteria established by the Asian Working Group for Sarcopenia(AWGS), and frailty status was assessed using the Frail Scale.Results:Among the study sample, 38.0% exhibited a low level of physical activity, 46.2% had a medium level, and 15.8% engaged in high levels of activity.As age increased, the level of physical activity among older adults significantly declined.Most of the physical activity reported by participants was attributed to household chores and farming-related activities.Participation in structured exercise among older adults was notably low, with only 1.3% engaging in muscle-strengthening exercises on a weekly basis.The majority(53.9%)reported walking as their preferred form of weekly exercise.After adjusting for confounding factors, the prevalence of sarcopenia was found to be 0.40(95% CI: 0.26-0.62)times lower in the medium physical activity group, and 0.56(95% CI: 0.31-1.01)times lower in the high physical activity group, compared to those with a low physical activity level.Similarly, regarding frailty as a negative outcome, the prevalence was 0.66(95% CI: 0.51-0.84)times lower in the medium physical activity group and 0.46(95% CI: 0.30-0.73)times lower in the high physical activity group, relative to the low physical activity group.When using PASE scores as a continuous variable, the results remained consistent. Conclusions:The physical activity levels of rural older adults are inadequate, and participation in multicomponent exercise programs is notably low.A lower level of physical activity is significantly associated with a higher prevalence of sarcopenia and frailty.Our findings indicate that it is essential to implement physical activity education and interventions to enhance exercise health literacy and to prevent sarcopenia and frailty among rural older adults.

Objective:To analyze the molecular characteristics of the virus in a local outbreak of dengue fever in Jiangsu province in 2023, and to provide a basis for the prevention and control of the outbreak.Methods:Serum samples were collected from suspected dengue patients in the acute phase of the outbreak for virus detection and serotyping by real-time fluorescence quantitative RT-PCR (RT-qPCR). Positive specimens were amplified with full-length genomic fragments and subjected to second-generation sequencing and related evolutionary analyses.Results:Four confirmed cases of dengue were found in Changzhou city, Jiangsu province, from October 18 to 21, 2023, with epidemiological association between the cases, which was recognized as a dengue outbreak. The serum RT-qPCR result of the four cases were all dengue type 1, and the whole genome sequences of three of the cases were obtained. The evolutionary tree of the E gene and the whole genome showed that the three sequences were located in the 3rd branch of the 1-I genotype, which is similar to the genotype 1-I. The genome-wide sequences of the E gene and the genome-wide evolution tree showed that the three sequences were located in the 3rd branch of the 1-I genotype, which is similar to the genome-wide genotype 1-Ⅰ. The E gene and the genome-wide evolutionary tree showed that all three sequences were located on branch 3 of genotype 1-Ⅰ, with high sequence similarity to the dengue virus epidemic strains in Guangdong and Yunnan provinces in 2023. Amino acid variant site analysis showed that there were 16 branch-specific amino acid site changes in the sequences of the three cases, among which the structural proteins, C protein and prM protein, had one variant site each, E protein had two, and the non-structural proteins had the largest number of NS5 variant sites (9).Conclusions:The local outbreak in Jiangsu was caused by dengue fever type 1 virus, with high nucleotide sequence similarity to strains from other regions of China, and amino acid site alterations.

ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.

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*