ObjectiveTo investigate the effect and mechanism of Qingre Sanzhuo decoction in treating gouty arthritis （GA） combined with hyperuricaemia （HUA）. MethodsSixty male SD rats were randomized into normal， model， colchicine （0.5 mg·kg^-1）， and low-， medium-， and high-dose （17， 34， 68 g·kg^-1， respectively） Qingre Sanzhuo decoction groups （n=10）. The rats in other groups except the normal group were treated with the modified method for the modeling of GA combined with HUA. The drug intervention groups were administrated with corresponding drugs by gavage in the afternoon every day and the normal group and the model group were administrated with an equal volume of sterile normal saline by gavage. The level of uric acid （SUA） in the serum was measured 2 h after the last administration. The degree of ankle joint swelling was calculated 0.5， 12， 24， 48 h after modeling， and joint inflammation was scored. The pathological changes of ankle joints were observed by hematoxylin-eosin staining， and the serum levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， C reactive protein （CRP）， and interleukin-18 （IL-18） were measured by enzyme-linked immunosorbent assay. Real-time PCR was performed to determine the mRNA levels of NOD-like receptor protein 3 （NLRP3）， apoptosis-associated speck-like protein containing CARD （ASC）， cysteinyl aspartate-specific protease-1 （Caspase-1）， gasdermin D （GSDMD）， and nuclear factor-kappa B （NF-κB） in the synovial tissue of ankle joints. Western blot was employed to determine the protein levels of NLRP3， ASC， and Caspase-1 in ankle joints. The immunohistochemical method was used to detect the expression of GSDMD and NF-κB in the synovial tissue of ankle joints. ResultsCompared with the normal group， the model group showed increased SUA in the serum （P<0.05）， ankle joint swelling and joint inflammation （P<0.05）， increased number of blood vessels in the synovium， inflammatory cell foci in the synovial bursa， elevated serum levels of TNF-α， IL-1β， CRP， and IL-18 （P<0.05）， and up-regulated mRNA and protein levels of NLRP3， ASC， Caspase-1， GSDMD， and NF-κB in the synovial tissue of ankle joints （P<0.05）. Compared with the model group， the medium- and high-dose Qingre Sanzhuo decoction groups showed reduced SUA in the serum （P<0.05）， alleviated ankle joint swelling and joint inflammation （P<0.05）， lowered serum levels of TNF-α， IL-1β， CRP， and IL-18 （P<0.05）， and down-regulated mRNA and protein levels of NLRP3， ASC， Caspase-1， GSDMD， and NF-κB in the synovial tissue of ankle joints （P<0.05）. However， in terms of ameliorating the pathological changes of ankle joints， only the high-dose Qingre Sanzhuo decoction group showed normal morphology of the synovial membrane of ankle joints and no obvious lesion in the articular cartilage. ConclusionQingre Sanzhuo decoction may play a role in preventing and controlling GA combined with HUA by down-regulating the activity of NLRP3/ASC/Caspase-1 pathway and inhibiting the expression of inflammatory cytokines， such as TNF-α， IL-1β， CRP， and IL-18.

BACKGROUND:Knee osteoarthritis(KOA)is a common chronic inflammatory disease that causes damage to joint cartilage and surrounding tissues.Immune cells play an important role in the immune-inflammatory response in knee osteoarthritis,but the specific mechanisms involved are still not fully understood. OBJECTIVE:To evaluate the potential causal relationship between 731 immune cell phenotypes and the risk of knee osteoarthritis using Mendelian randomization. METHODS:Summary statistics of genome-wide association studies(GWAS)for 731 immune cell phenotypes(from GCST0001391 to GCST0002121)obtained from the GWAS catalog and GWAS data for knee osteoarthritis from the IEUGWAS database(ebi-a-GCST007090)were used.Inverse variance-weighted method,MR-Egger regression,weighted median method,weighted mode method,and simple mode method were employed to investigate the causal relationship between immune cells and knee osteoarthritis.Sensitivity analyses were conducted to assess the reliability of the Mendelian randomization results.Reverse Mendelian randomization analysis was also performed using the same methods. RESULTS AND CONCLUSION:The forward MR analysis indicated significant causal relationships(FDR<0.20)between knee osteoarthritis and four immune cell phenotypes,namely CD27 on CD24+CD27+in B cells(OR=1.026,P=0.000 26,Pfdr=0.18),CD33 on CD33dim HLA DR-in myeloid cells(OR=1.014,P=0.000 50,Pfdr=0.18),and CD45RA+CD28-CD8br%CD8br in Treg cells(OR=1.001,P=0.000 78,Pfdr=0.18),and PDL-1 on monocytes in mononuclear cells(OR=0.952,P=0.000 98,Pfdr=0.18).These immune cell phenotypes showed direct positive or negative causal associations with the risk of knee osteoarthritis.Reverse Mendelian randomization analysis revealed no significant causal relationships(FDR<0.20)between knee osteoarthritis as exposure and any of the 731 immune cell phenotypes.The results of sensitivity analysis show that the P-values of the Cochran's Q test and the MR-Egger regression method for bidirectional Mendelian randomization were both greater than 0.05,indicating that there is no significant heterogeneity and pleiotropy in the causal effect analysis between immune cell phenotypes and knee osteoarthritis.To conclude,there may be four potential causal relationships between immune cell phenotypes,such as CD27 on CD24+CD27+cells,CD33 on CD33dim HLA DR-cells,CD45RA+CD28-CD8br%CD8br cells,and PDL-1 on monocytes,and knee osteoarthritis.These findings provide valuable clues for studying the biological mechanisms of knee osteoarthritis and exploring early prevention and treatment strategies.They also offer new directions for the development of intervention drugs.

BACKGROUND:Liuwei Dihuang Wan takes"three tonifying and three reducing effects"as its compatibility feature to nourish yin and tonify the kidneys,while Zuogui Wan takes"seeking yin in yang"as its compatibility feature to nourish yin and tonify the kidneys by promoting yang.Both of them belong to the same method of nourishing yin and tonifying the kidneys,and have better curative effects at the symptomatic and cellular molecular levels. OBJECTIVE:To observe the effects of Liuwei Dihuang Wan and Zuogui Wan in bone metabolism,and to explore their mechanism of action in the osteoprotegerin(OPG)/receptor activator of nuclear factor-κB ligand(RANKL)osteoblastic pathway. METHODS:Thirty-two Sprague-Dawley rats were randomized into model,Liuwei Dihuang Wan,Zuogui Wan,and sham operation group,with eight rats in each group.Osteoporosis models were prepared using removal of both ovaries in the first three groups.Starting at 30 days postoperatively,rats in the Liuwei Dihuang Wan group were gavaged with Liuwei Dihuang Wan 1.125 g/kg/d;rats in the Zuoqui Wan group were gavaged with Zuogui Wan 2.25 g/kg/d;and rats in the sham operation group and the model group were gavaged with saline 10 mL/kg/d.After 12 weeks of gavage,the rat tibia was taken to measure bone mineral density.The serum levels of estrogen,bone alkaline phosphatase,and cAMP/cGMP were measured using ELISA,and the expression of OPG/RANKL in the femur was detected using western blot. RESULTS AND CONCLUSION:Compared with the sham operation group,the model group showed a decrease in bone mineral density and levels of estrogen and bone alkaline phosphatase(P＜0.05)and an increase in cAMP/cGMP level(P＜0.05).Compared with the model group,the Liuwei Dihuang Wan group and the Zuogui Wan group significantly increased bone mineral density(P＜0.05)and bone alkaline phosphatase levels(P＜0.05);the Zuogui Wan group significantly decreased cAMP/cGMP levels(P＜0.05)and upregulated OPG expression(P＜0.05);the Liuwei Dihuang Wan group upregulated OPG expression and downregulated RANKL expression(P＜0.05);and both groups were unable to significantly increase estrogen levels(P＞0.05).To conclude,Zuogui Wan,which seeks yin from yang,can effectively increase the expression of OPG but cannot downregulate the expression of RANKL.However,Liuwei Dihuang Wan,which has three tonifying and three reducing effects,can bidirectionally regulate the expression of OPG and RANKL.This result suggests that Liuwei Dihuang Wan can significantly inhibit osteoclastic function compared with Zuogui Wan,and further research is needed to verify this conclusion.

BACKGROUND:Flap transplantation technique is a commonly used surgical procedure for the treatment of severe tissue defects,but postoperative flap necrosis is easily triggered by ischemia-reperfusion injury.Therefore,it is still an important research topic to improve the survival rate of transplanted flaps. OBJECTIVE:To review the pathogenesis and latest treatment progress of flap ischemia-reperfusion injury. METHODS:CNKI,WanFang Database and PubMed database were searched for relevant literature published from 2014 to 2024.The search terms used were"flap,ischemia-reperfusion injury,inflammatory response,oxidative stress,Ca2+overload,apoptosis,mesenchymal stem cells,platelet-rich plasma,signaling pathways,shock wave,pretreatment"in Chinese and English.After elimination of irrelevant literature,poor quality and obsolete literature,77 documents were finally included for review. RESULTS AND CONCLUSION:Flap ischemia/reperfusion injury may be related to pathological factors such as inflammatory response,oxidative stress response,Ca2+overload,and apoptosis,which can cause apoptosis of vascular endothelial cells,vascular damage and microcirculation disorders in the flap,and eventually lead to flap necrosis.Studies have found that mesenchymal stem cell transplantation,platelet-rich plasma,signaling pathway modulators,shock waves,and pretreatment can alleviate flap ischemia/reperfusion injuries from different aspects and to varying degrees,and reduce the necrosis rate and necrosis area of the grafted flap.Although there are many therapeutic methods for skin flap ischemia/reperfusion injury,a unified and effective therapeutic method has not yet been developed in the clinic,and the advantages and disadvantages of various therapeutic methods have not yet been compared.Most of the studies remain in the stage of animal experiments,rarely involving clinical observations.Therefore,a lot of research is required in the future to gradually move from animal experiments to the clinic in order to better serve the clinic.

BACKGROUND:Osteoporotic fracture is the most serious complication of osteoporosis.Previous studies have demonstrated that gut microbiota has a regulatory effect on skeletal tissue and that gut microbiota has an important relationship with osteoporotic fracture,but the causal relationship between the two is unclear. OBJECTIVE:To explore the causal relationship between gut microbiota and osteoporotic fractures using Mendelian randomization method. METHODS:The genome-wide association study(GWAS)datasets of gut microbiota and osteoporotic fracture were obtained from the IEU Open GWAS database and the Finnish database R9,respectively.Using gut microbiota as the exposure factor and osteoporotic fracture as the outcome variable,Mendelian randomization analyses with random-effects inverse variance weighted,MR-Egger regression,weighted median,simple model,and weighted model methods were performed to assess whether there is a causal relationship between gut microbiota and osteoporotic fracture.Sensitivity analyses were performed to test the reliability and robustness of the results.Reverse Mendelian randomization analyses were performed to further validate the causal relationship identified in the forward Mendelian randomization analyses. RESULTS AND CONCLUSION:The results of this Mendelian randomization analysis indicated a causal relationship between gut microbiota and osteoporotic fracture.Elevated abundance of Actinomycetales[odds ratio(OR)=1.562,95%confidence interval(CI):1.027-2.375,P=0.037),Actinomycetaceae(OR=1.561,95%CI:1.027-2.374,P=0.037),Actinomyces(OR=1.544,95%CI:1.130-2.110,P=0.006),Butyricicoccus(OR=1.781,95%CI:1.194-2.657,P=0.005),Coprococcus 2(OR=1.550,95%CI:1.068-2.251,P=0.021),Family ⅩⅢ UCG-001(OR=1.473,95%CI:1.001-2.168,P=0.049),Methanobrevibacter(OR=1.274,95%CI:1.001-1.621,P=0.049),and Roseburia(OR=1.429,95%CI:1.015-2.013,P=0.041)would increase the risk of osteoporotic fractures in patients.Elevated abundance of Bacteroidia(OR=0.660,95%CI:0.455-0.959,P=0.029),Bacteroidales(OR=0.660,95%CI:0.455-0.959,P=0.029),Christensenellacea(OR=0.725,95%CI:0.529-0.995,P=0.047),Ruminococcaceae(OR=0.643,95%CI:0.443-0.933,P=0.020),Enterorhabdus(OR=0.558,95%CI:0.395-0.788,P=0.001),Eubacterium rectale group(OR=0.631,95%CI:0.435-0.916,P=0.016),Lachnospiraceae UCG008(OR=0.738,95%CI:0.546-0.998,P=0.048),and Ruminiclostridium 9(OR=0.492,95%CI:0.324-0.746,P=0.001)would reduce the risk of osteoporotic fractures in patients.We identified 16 gut microbiota associated with osteoporotic fracture by the Mendelian randomization method.That is,using gut microbiota as the exposure factor and osteoporotic fracture as the outcome variable,eight gut microbiota showed positive causal associations with osteoporotic fracture and another eight gut microbiota showed negative causal associations with osteoporotic fracture.The results of this study not only identify new biomarkers for the early prediction of osteoporotic fracture and potential therapeutic targets in clinical practice,but also provide an experimental basis and theoretical basis for the study of improving the occurrence and prognosis of osteoporotic fracture through gut microbiota in bone tissue engineering.

BACKGROUND:Osteosarcoma has a complex pathogenesis and a poor prognosis.While advancements in medical technology have led to some improvements in the 5-year survival rate,substantial progress in its treatment has not yet been achieved. OBJECTIVE:To screen key molecular markers in osteosarcoma,analyze their relationship with osteosarcoma treatment drugs,and explore the potential disease mechanisms of osteosarcoma at the molecular level. METHODS:GSE99671 and GSE284259(miRNA)datasets were obtained from the Gene Expression Omnibus database.Differential gene expression analysis and Weighted Gene Co-expression Network Analysis(WGCNA)on GSE99671 were performed.Functional enrichment analysis was conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes separately for the differentially expressed genes and the module genes with the highest positive correlation to the disease.The intersection of these module genes and differentially expressed genes was taken as key genes.A Protein-Protein Interaction network was constructed,and correlation analysis on the key genes was performed using CytoScape software,and hub genes were identified.Hub genes were externally validated using the GSE28425 dataset and text validation was conducted.The drug sensitivity of hub genes was analyzed using the CellMiner database,with a threshold of absolute value of correlation coefficient|R|>0.3 and P<0.05. RESULTS AND CONCLUSION:(1)Differential gene expression analysis identified 529 differentially expressed genes,comprising 177 upregulated and 352 downregulated genes.WGCNA analysis yielded a total of 592 genes with the highest correlation to osteosarcoma.(2)Gene Ontology enrichment results indicated that the development of osteosarcoma may be associated with extracellular matrix,bone cell differentiation and development,human immune regulation,and collagen synthesis and degradation.Kyoto Encyclopedia of Genes and Genomes enrichment results showed the involvement of pathways such as PI3K-Akt signaling pathway,focal adhesion signaling pathway,and immune response in the onset of osteosarcoma.(3)The intersection analysis revealed a total of 59 key genes.Through Protein-Protein Interaction network analysis,8 hub genes were selected,which were LUM,PLOD1,PLOD2,MMP14,COL11A1,THBS2,LEPRE1,and TGFB1,all of which were upregulated.(4)External validation revealed significantly downregulated miRNAs that regulate the hub genes,with hsa-miR-144-3p and hsa-miR-150-5p showing the most significant downregulation.Text validation results demonstrated that the expression of hub genes was consistent with previous research.(5)Drug sensitivity analysis indicated a negative correlation between the activity of methotrexate,6-mercaptopurine,and pazopanib with the mRNA expression of PLOD1,PLOD2,and MMP14.Moreover,zoledronic acid and lapatinib showed a positive correlation with the mRNA expression of PLOD1,LUM,MMP14,PLOD2,and TGFB1.This suggests that zoledronic acid and lapatinib may be potential therapeutic drugs for osteosarcoma,but further validation is required through additional basic experiments and clinical studies.

BACKGROUND:In recent years,numerous studies have shown that autophagy and mitophagy play an important role in the regulation of bone metabolism.Under non-physiological conditions,mitophagy breaks the balance of bone metabolism and triggers metabolism disorders,which affect osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells,etc. OBJECTIVE:To summarize the mechanism of mitophagy in regulating bone metabolic diseases and its application in clinical treatment. METHODS:PubMed,Web of Science,CNKI,WanFang and VIP databases were searched by computer using the keywords of"mitophagy,bone metabolism,osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells"in English and Chinese.The search time was from 2008 to 2023.According to the inclusion criteria,90 articles were finally included for review and analysis. RESULTS AND CONCLUSION:Mitophagy promotes the generation of osteoblasts through SIRT1,PINK1/Parkin,FOXO3 and PI3K signaling pathways,while inhibiting osteoclast function through PINK1/Parkin and SIRT1 signaling pathways.Mitophagy leads to bone loss by increasing calcium phosphate particles and tissue protein kinase K in bone tissue.Mitophagy improves the function of chondrocytes through PINK1/Parkin,PI3K/AKT/mTOR and AMPK signaling pathways.Modulation of mitophagy shows great potential in the treatment of bone diseases,but there are still some issues to be further explored,such as different stages of drug-activated mitophagy,and the regulatory mechanisms of different signaling pathways.

BACKGROUND:Osteoporotic vertebral fractures are the most common complication in patients with osteoporosis.As a new imaging technique,spine magnetic resonance imaging(MRI)is much more sensitive than X-ray film in the diagnosis of osteoporotic vertebral fractures.However,total spine MRI is costly and takes a long time to scan.Therefore,there is no consensus on whether all patients with osteoporotic vertebral fractures need to undergo total spine MRI scan and which patients need to undergo total spine MRI. OBJECTIVE:To analyze the distribution characteristics of vertebral fractures and explore their clinical significance by observing the whole spine MRI data of osteoporotic vertebral fractures patients. METHODS:Data of cases and MRI images of all patients diagnosed with fresh osteoporotic vertebral fractures who visited the Department of Orthopedics,Affiliated Hospital of Southwest Medical University from August 2018 to September 2022 were retrospectively analyzed.903 patients were included in the study based on inclusion and exclusion criteria.General information(age,gender,and body mass index),medical history characteristics(duration of illness,history of trauma surgery,percussion pain area,and pain score)were collected.The characteristics of vertebral fractures were analyzed through whole spine magnetic resonance imaging.Firstly,based on the number of vertebral fractures in patients,they were divided into the single vertebral fracture group(484 cases)and the multi-vertebral fracture group(419 cases),and the differences were analyzed between the two groups.Then,based on whether the farthest interval between the fractured vertebrae was greater than or equal to 5,the multi vertebral fracture group was further divided into two subgroups.Among them,Group A(the farthest interval between the fractured vertebrae was less than 5)contained 306 cases;Group B(with the farthest interval between fractured vertebral bodies greater than 5)included 113 cases.The differences were analyzed between two subgroups. RESULTS AND CONCLUSION:(1)Among 903 patients,419 patients(46.4%)had more than two fractured vertebrae.There were 654 patients(72.4%)with thoracolumbar fractures,and 54 patients(6%)with fractures in the thoracic plus lumbar region and the entire thoracic to lumbar region.In group B,96.5%of patients had multiregional percussion pain.(2)Compared with the patients in the single vertebral fracture group and the multi-vertebral fracture group,there were significant differences in bone mineral density,whether the medical history was greater than or equal to 1 month,the history of low energy injury,and the distribution and number of axial percussion pain areas in the spine during physical examination between the two groups(P<0.05).Age,gender,body mass index,whether there was underlying disease,pain visual analog scale score,whether there was a history of elderly thoracolumbar fracture,and whether there was a history of thoracolumbar surgery,and the number of fractured vertebrae had no statistical significance(P>0.05).(3)There were statistically significant differences between the Groups A and B in bone mineral density,the distribution and quantity of percussion pain area,and the history of low energy injury(P<0.05).There were no significant differences in age,gender,history of old fractures,visual analog scale score,body mass index,whether the medical history was longer than or equal to 1 month,history of underlying diseases,and history of thoracolumbar surgery between the two groups(P>0.05).(4)Patients with multiple low-energy trauma history,history of more than 1 month,multiple percussion pain,and the lower bone mineral density should be alert to the occurrence of multiple vertebral fracture and jump fracture.We recommend the whole spinal MRI for these patients.

BACKGROUND:Iron overload refers to excessive accumulation of iron in the body,which can cause pathological changes in various tissues.At present,the molecular mechanism and potential gene targets related to iron overload in osteoarthritis still need to be further studied and explored. OBJECTIVE:To analyze the key genes of iron overload in osteoarthritis by means of bioinformatics and verify them in animal experiments,so as to provide a new idea for preventing and treating osteoarthritis from the perspective of iron overload. METHODS:GEO database and GeneCards database were used to screen out genes associated with osteoarthritis and genes associated with iron overload.Then,the intersection of the two was taken to obtain a collection of genes commonly associated with osteoarthritis and iron overload.GO and KEGG enrichment analyses were used to screen the functions and pathways of these genes.To further investigate the interactions between these genes,a protein-protein interaction network was constructed and five computational methods of Cytoscape software were utilized to identify the Hub genes for iron overload in osteoarthritis.Finally,12 male Sprague-Dawley rats were divided into osteoarthritis group and normal group,with 6 rats in each group.A knee osteoarthritis model was established by the modified Hulth method in the osteoarthritis group.The expression of Hub genes in the knee joint of rats in each group was detected by PCR. RESULTS AND CONCLUSION:(1)A total of 51 genes associated with iron overload were identified in osteoarthritis.GO enrichment analysis showed that these genes were mainly involved in cytokine receptor binding,chemokine receptor binding,cytokine activity,growth factor receptor binding and oligosaccharide binding.(2)KEGG enrichment analysis showed that genes associated with iron overload in osteoarthritis was mainly involved in tumor necrosis factor signaling pathway and lipid and atherosclerosis signaling pathway.(3)The protein-protein interaction network was constructed,and five Hub genes of iron overload,intercellular cell adhesion molecule-1,tumor necrosis factor superfamily member 11,myelocytomatosis oncogene,janus kinase 2,and interleukin 6,were obtained by further analysis.Animal experiments verified that there were significant differences in the expression of the above Hub genes in the rat knee joint between the control group and the experimental group(P<0.05).(4)All these findings show that intercellular cell adhesion molecule-1,tumor necrosis factor superfamily member 11,myelocytomatosis oncogene,janus kinase 2,and interleukin 6 can be used as the Hub genes of iron overload in osteoarthritis,which are expected to become new targets for the prevention and treatment of osteoarthritis.

BACKGROUND:Micro-robots have the characteristics of small size,flexibility,and strong targeting,and can complete complex tasks in a single or clustered manner in a narrow environment.With the continuous optimization of materials,preparation processes,and driving approaches,they have shown increasingly important application value in the field of biomedicine. OBJECTIVE:To analyze the application of field-driven micro-robots in medical field and to look forward to their application prospect. METHODS:Using"microrobots,nanorobots,drivers,biomedical,medical"as Chinese keywords and"microrobots,micro-robots,nanorobots,micromachine,microswimmer,medical"as English keywords,WanFang Data and PubMed databases were searched,respectively.The search time range was from January 2010 to January 2024,and a small number of long-term articles were included.Through reading the titles and preliminarily screening the abstracts,the repetitive studies,low-quality journals,and irrelevant literature were excluded.After reading the entire text,66 papers were finally included for review. RESULTS AND CONCLUSION:Field-driven medical micro-robots mainly include magnetic,optical,thermal,ultrasonic,and multi-mixed factor-driven robots.Field-driven robots have been used in intestinal diagnosis,drug targeting therapy,and stem cell therapy.Medical micro-robots are currently only used in a small number of clinical applications,but most of which are still in the theoretical and experimental stages.Medical micro-robots will face many challenges in future,such as large-scale preparation,precise control of micro-robots,recycling or degradation in vivo,whether the materials used will cause adverse reactions to the human body,and the related minimally invasive medical procedures.