ObjectiveTo explore the mechanism of Yishen Qubi Tongluo Formula （益肾祛痹通络方， YQTF） in the treatment of rheumatoid arthritis（RA）. MethodsNetwork pharmacology was employed to retrieve and screen the active components and potential targets of YQTF as well as RA-related targets using databases including TCMSP， BATMAN， ETCM and GEO. The intersection of targets related to active components and RA-related targets was identified， and a protein-protein interaction （PPI） network was constructed. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed， and a drug-active component-common target network of YQTF in the treatment of RA was established. The core components of YQTF were molecularly docked with key targets. Human rheumatoid arthritis synovial fibroblast cell line MH7A was divided into blank group， model group， methotrexate group and YQTF group. The blank group was cultured with 10% fetal bovine serum， while the other three groups were stimulated with 10 μg/L of recombinant human tumor necrosis factor-α （TNF-α） for 24 h to establish the RA cell model. On this basis， the methotrexate group was treated with methotrexate suspension at a concentration of 20 μmol/L， and the YQTF group was treated with 10% YQTF-medicated serum. After 48 h of intervention， the levels of TNF-α and interleukin-17A（IL-17A）contents in cell supernatants were detected by enzyme-linked immunosorbent assay （ELISA）， and mRNA expressions of phosphatidylinositol 3-kinase（PI3K）， protein kinase B（AKT） and mammalian target of rapamycin（mTOR） were detected by real-time quantitative polymerase chain reaction （RT-qPCR）. ResultsNetwork pharmacological analysis identified 209 active components and 583 potential target genes of YQTF， as well as 818 RA-related targets. A total of 29 common targets were obtained from the intersection of drug-related targets and RA-related targets. Quercetin，β-sitosterol， kaempferol， stigmasterol and luteolin were the core active components of YQTF for the treatment of RA， while matrix metalloproteinase-9 （MMP9）， prostaglandin-endoperoxide synthase 2 （PTGS2）， Toll-like receptor 4 （TLR4）， tumor protein p53 （TP53） and transcription factor AP-1 subunit JUN were the key targets. The GO and KEGG pathway enrichment analysis showed that the involved biological processes and pathways were mainly associated with antioxidant responses， PI3K-AKT signaling pathway and Toll-like receptor （TLR） signaling pathway. Molecular docking results showed that MMP9 and PTGS2 exhibited high binding affinities with quercetin， β-sitosterol， kaempferol， stigmasterol and luteolin； TLR4 exhibited high binding activities with β-sitosterol， stigmasterol and luteolin； and TP53 showed high binding affinity with luteolin. The results of cell experiments showed that compared with the control group， the contents of TNF-α and IL-17A as well as the mRNA expressions of AKT and mTOR in the model group significantly increased （P＜0.05 or P＜0.01）. Compared with the model group， all the above indicators significantly decreased in the YQTF group， while the contents of TNF-α and the mRNA expression of AKT significantly decreased in the methotrexate group （P＜0.05 or P＜0.01）. ConclusionThe mechanism of YQTF in the treatment of RA may be associated with reducing inflammatory cytokine secretion and inhibiting the activation of the PI3K-AKT-mTOR signaling pathway.

To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

Objective A non-targeted metabolomics analysis of vitreous fluid from patients with proliferative diabetic retinopathy(PDR)is conducted to explore the"metabolic map"of PDR.This approach aims to deepen the understanding of the disease,identify potential biomarkers.Methods From 35 PDR patients and 30 fresh rhegmatogenous retinal de-tachment(RRD)patients,10 PDR patients with vitreoretinal abnormal adhesions were selected as the experimental group(PDR group),and 10 fresh RRD patients were chosen as the control group(RRD group).Using ultra-high-performance liq-uid chromatography-mass spectrometry non-targeted metabolomics technology,the metabolic profiles of vitreous fluid were analyzed to obtain metabolic spectra.One-dimensional and multidimensional statistical methods were used to analyze the differences in metabolites and metabolic pathways between the PDR and RRD groups.Results A total of 165 differential metabolites were identified in the vitreous humor samples of patients in the PDR and RRD groups,these differential metab-olites were significantly enriched in 21 metabolic pathways(P＜0.05),Among these pathways,those with at least 5 differ-ential metabolites include:methionine and cysteine metabolism;glycine,serine,and threonine metabolism;ascorbic acid and aldose metabolism;amino acid biosynthesis;and central carbon metabolism in cancer.Pyruvate,serine,D-2-phospho-glycerate,threonine,phosphoserine,and high serine are present in multiple metabolic pathways,the areas under the curve are 0.96,0.82,0.85,0.78,0.40,and 0.31,respectively.Conclusion There are 21 significantly different metabolic pathways between PDR and RRD patients.Pyruvate stands out in multiple pathways,potentially serving as a biomarker for PDR diagnosis.

Objective To test the hypothesis that backward crawling and forward crawling share similar inter-joint coordination patterns,thus providing potential evidence for the application of backward crawling in rehabilitation training.Methods The acceleration signals in the X,Y,and Z directions for 9 joints(including bilateral wrists,elbows,shoulders,knees,and hips)in 9 volunteers during forward and backward crawling were collected using a custom signal acquisition system,and the pressure signals were also recorded when the palms contacted the ground.The collected acceleration signals were preprocessed,segmented into cycles,and vectorized.Based on the pressure signals,a single crawling cycle was divided into support phase and swing phase.In addition,principal component analysis was applied to extract inter-joint coordination in limbs at various scales(sagittal,coronal,and transverse planes).Pearson correlation coefficients of inter-joint coordination patterns were compared between forward and backward crawling in support period,swing period,and full cycle.Results The correlation coefficients for coordination patterns in the full cycle at the transverse plane scale were 0.813 5(PC1)and 0.837 5(PC2),and the correlation coefficient of the support period PC2 was 0.901 8.At the sagittal plane scale,the correlation coefficient of the support period PC1 was 0.948 5.Conclusion The study provides preliminary evidence that limb motion coordination patterns during backward crawling are similar to those observed during forward crawling.Future research will further explore the effects of backward crawling on functional rehabilitation in individuals with motor impairments.

Objective To test the hypothesis that backward crawling and forward crawling share similar inter-joint coordination patterns,thus providing potential evidence for the application of backward crawling in rehabilitation training.Methods The acceleration signals in the X,Y,and Z directions for 9 joints(including bilateral wrists,elbows,shoulders,knees,and hips)in 9 volunteers during forward and backward crawling were collected using a custom signal acquisition system,and the pressure signals were also recorded when the palms contacted the ground.The collected acceleration signals were preprocessed,segmented into cycles,and vectorized.Based on the pressure signals,a single crawling cycle was divided into support phase and swing phase.In addition,principal component analysis was applied to extract inter-joint coordination in limbs at various scales(sagittal,coronal,and transverse planes).Pearson correlation coefficients of inter-joint coordination patterns were compared between forward and backward crawling in support period,swing period,and full cycle.Results The correlation coefficients for coordination patterns in the full cycle at the transverse plane scale were 0.813 5(PC1)and 0.837 5(PC2),and the correlation coefficient of the support period PC2 was 0.901 8.At the sagittal plane scale,the correlation coefficient of the support period PC1 was 0.948 5.Conclusion The study provides preliminary evidence that limb motion coordination patterns during backward crawling are similar to those observed during forward crawling.Future research will further explore the effects of backward crawling on functional rehabilitation in individuals with motor impairments.

Objective To establish TLC identification method,HPLC fingerprint,chemical pattern recognition,and multi-components quantitative analysis methods of Spatholobus suberectus,and identify the quality of 16 batches of Spatholobus su-berectus from different origins.Methods The TLC method was used to identify Spatholobus suberectus qualitatively.HPLC fin-gerprint of Spatholobus suberectus was established.The quality of Spatholobus suberectus was evaluated by chemical pattern recogni-tion technologies,and the contents of Gallocatechin,protocatechuic acid,catechin,epigallocatechin and fermononetin were deter-mined by HPLC.Results TLC method of Spatholobus suberectus was established.Ten common peaks were identified in 16 bat-ches of Spatholobus suberectus,and 6 components were identified by reference substances.The similarity of fingerprint was 0.769-0.990,indicating good similarity.The samples were divided into 3 groups by cluster analysis.Results of the principal component a-nalysis showed that the top 3 samples in the list of comprehensive scores were S16、S1 1、S14.Marker compounds that cause the quality difference of Spatholobus suberectus were screened out through the orthogonal partial least squares discriminant analysis,which were fermononetin,peaks 7 and epigallocatechin.Gallocatechin,protocatechuic acid,catechin,epigallocatechin,and ferm-ononetin had a good linearity in the concentration range(r＞0.999).The content determination analysis showed that there were sig-nificant differences in the contents of the 5 index components among Spatholobus suberectus from different origins.Conclusion The established TLC and HPLC fingerprints of Spatholobus suberectus were stable and reliable,and the HPLC method for multiple active components method provides scientific support for improving the quality control method of Spatholobus suberectus.

Articular cartilage is a crucial tissue structure in humans.With ongoing exploration of joint tissue structure and the emergence of innovative biotechnological organoids,various sources of stem cells can be selected for induction to differentiate into articular cartilaginous organoids based on the articular cartilage tissue structure,which can be applied to the treatment of cartilage defects,drug testing,and precision medicine and biological development.This article presents a review of the research progress concerning articular cartilaginous organoids,in order to provide a reference for clinical practice.

Articular cartilage is a crucial tissue structure in humans.With ongoing exploration of joint tissue structure and the emergence of innovative biotechnological organoids,various sources of stem cells can be selected for induction to differentiate into articular cartilaginous organoids based on the articular cartilage tissue structure,which can be applied to the treatment of cartilage defects,drug testing,and precision medicine and biological development.This article presents a review of the research progress concerning articular cartilaginous organoids,in order to provide a reference for clinical practice.

BACKGROUND:Relatively or absolutely active bone resorption function of osteoclasts is one of the causative factors of osteoporosis. Therefore,how to inhibit the formation of osteoclasts and reduce the bone resorption activity is a key element in the prevention and treatment of osteoporosis. Liquiritin,which is derived from licorice,plays a role in the clinical treatment of bone diseases,but there are fewer studies addressing the application of liquiritin in osteoporosis and the mechanism is unknown.OBJECTIVE:To confirm,through both in vivo and in vitro experiments,that liquiritin inhibits osteoclast differentiation and alleviates bone loss.METHODS:Cell counting kit-8 was used to detect whether Liquiritin exerts toxic or proliferative effects on mouse bone marrow-derived macrophages,and tartrate-resistant acid phosphatase staining was performed to observe the effect of liquiritin in inhibiting osteoclast differentiation. The affinity of liquiritin binding to proteins related to osteoclast differentiation was verified by network pharmacology. RT-PCR and western blot assays were performed to detect the inhibitory effects of liquiritin on osteoclast-specific protein and gene expression as well as relevant signaling pathways. Finally,the mitigating effect of liquiritin on bone loss was verified in the C57BL/6J mouse osteoporosis model.RESULTS AND CONCLUSION:Liquiritin,at concentrations of 20 μmol/L and below,could inhibit the formation and differentiation of osteoclasts. Concurrently,it exhibited a high affinity with osteoclast-specific proteins such as nuclear factor of activated T-cells 1,Cathepsin K,c-Fos,and matrix metalloproteinase 9,and reduced the relative expression levels of these genes and proteins. Liquiritin could also effectively lower the phosphorylation expression level of JNK in the MAPK signaling pathway at the 15th,30th,45th,and 60th minutes,and it could salvage the degradation of nuclear factor-κB inhibitor α in the nuclear factor-κB signaling pathway at the 60th minute. In vivo experiments demonstrated that liquiritin could mitigate bone loss caused by osteoclasts and improve parameters related to trabecular bone. To conclude,liquiritin possesses the capacity to inhibit osteoclast differentiation and alleviate bone loss,thereby exerting a protective role against osteoporosis.

How to effectively reduce the size of infant pose estimation network models is a key issue restricting the"home-use"of infant pose estimation technology. Therefore,a lightweight method for infant pose estimation in home scenarios is proposed. The method takes the lightweight network MobileNetV3 as the encoding backbone and utilizesa PixelShuffle up-sampling module in the decoder for reducing the quantity of model parameters. Meanwhile,coordinate attention mechanism is used to better capture location information and channel feature information,highlighting the feature information of small targets and occluded human keypoints. Besides,the parallel cross-correlation convolution is further modified to enhance the capability of feature information extraction. The method's performance is verified on the general pose estimation dataset (COCO) and the dedicated infant pose estimation dataset (SyRIP). The results show that,with a calculation volume (GFLOPs) of only 0.96,the method achieves average accuracies of 73.5％ and 91.0％ on COCO and SyRIP datasets,respectively,proving that it can significantly reduce the quantity of model parameters and calculation volume without sacrificing pose estimation accuracy. The proposed lightweight estimation model is expected to be deployed on home appliances such as smart terminals,thereby realizing intelligent estimation of abnormal infant poses in home scenarios.