[Objective]To investigate the rlpairing effect on articular cartilage defects by composite of cocultures of autogenic bone marrow-derived mesenchymal stem cells(BMSCs) and chondrocytes with allogenic fully deproteinized bone(FDB),in order to provide basis for optimizing seeding cells resources.[Method]Seeding cells were collected from two-passaged BMSCsand chondroeytes and then cocultured at the rate of 2 to 1.Full thickness articular cartilage defects in the knee joints of rabbits repaired by cocultured cells seeded into allogenic FDB were served as experimental group A,by simple FDB as control group B and by nothing as blank control group C.Repaired tissues were evaluated with macroscopic views,histological scores and immunohistochemistrical stains at 8 and 16 weeks postoperatively.[Result]Chondrocytes cocultured riched in extracellular matrix and proliferated promptly.In A regenerated tissues represented hyaline-like,smoothness and flat.In group B and C,repaired tissues were fiberous and no repaire in group C.Histological scores of experimental group A excelled group B and C with statistically significant differences(P0.05).Immunohistochemistrical stains showed that cells in the zones of repaired tissues were larger in size,arranged columnnedly,riched in type-Ⅱ collagen matrix and integrated satisfactorily with native adjacent cartilages and subchondral bones in the experimental group A at 16 weeks postoperatively.[Conclusion]Cocultures of autogenic BMSCS with chondrocytes can promote proliferation of chondrocytes and production of chondral matrix.Cocultures as seeding cells can save a number of chondrocytes,shorten culturing periods and reduce subcultured times.Cocultures embedded into FDB can repair articular cartilage defects effectively.

Objective Toexploretheclinicalvalueofiterativedecompositionofwaterandfatwithechoasymmetryandleast-squaresestimationquantitationsequence(IDEAL-IQ)foraccurateandquantitativeevaluationofvertebraebodyfatfraction(FF)of lumbar.Methods Accordingtotheresultsofbonemineraldensity(BMD),60healthycheckers/patientsmatchingthestudycriteria weredividedintothenormalBMDgroup(groupA,n=17),thelowBMDgroup(groupB,n=18)andtheosteoporosis(OP)group (OP,groupC,n=25).Theageofthreegroupswasanalyzed.T1WI,T2WI,andIDEAL-IQsequenceswerescannedwithsagittallumbar.Rectangular ROIwereoutlinedonFatFracmaps,FFsweremeasuredthreetimesonvertebraebodyoflumbar1(L1),L2,L3,L4,L5,andtheFF ofeachlumbarwasrespectivelyaveragedtoanalyzethedifferencewithinandbetweengroups.Results Theageamongthethree groups(F=13.414,P=0.000)werestatisticallysignificantdifference.Inbothcomparisons,theagewassignificantdifferencebetweengroupA andB,aswellasbetweengroupAandC,butnotbetweengroupBandC.TheFFofL1-L5withineachgroupwerenotstatistically significantdifference(F=0.680,0.863,0.539,P=0.608,0.490,0.707),whilealldifferencesbetweeneachgroupwithFFofL1-L5 werestatisticalsignificance(F=12.758,9.646,5.195,8.048,8.849,P=0.000,0.000,0.008,0.001,0.000).Comparisonbetweenthe groups,theFFofL3andL5inthegroupAandBwerenotstatisticallydifferent,aswellastheL2,L3,L4inthegroupBandC, whiletheothersbetweentwogroupswerestatisticallysignificantdifference.Conclusion Astheageincreases,BMDgraduallydecreases,whilethe FFofL1-L5graduallyincreases.ItisofaccuratelyevaluatelumbarvertebraeFFbyIDEAL-IQ,whichmayhelppredictOP.

【Objective】 To analyze the gene expression profile of central nervous system primitive neuroectodermal tumors （CNS-PNETs） by bioinformatics methods so as to explore the possible pathogenesis of CNS-PNETs at the molecular level. 【Methods】 The gene expression profile of CNS-PNETs was downloaded from the GEO database， GSE35493 and GSE74195. The differentially expressed genes （DEGs） were screened by the online analysis tool of GEO2R and Venn software， DEGs were analyzed by using the online analysis tools of David database， such as Gene Ontology （GO） and pathway enrichment （KEGG）. The protein interaction network analysis （PPI） of CNS-PNETs was made by using STRING online analysis tool， Cytoscape software and its plug-in cytohubba to find the key genes. 【Results】 We obtained 262 DEGs， including 49 upregulated genes and 213 downregulated genes. The analysis of GO function and KEGG signal pathway enrichment showed that DEG was involved in DNA transcription and mitosis， cell division， synaptic signal transmission and other biological processes， and associated with cell cycle， tumor-related pathway， p53 signal pathway， synapsis-related signal pathway， cAMP signal pathway and calcium ion signal pathway. Ten key genes， namely， CDK1， CDC20， MAD2L1， KIF11， ASPM， TOP2A， TTK， NDC80， NUSAP1 and DLGAP5 were screened out by STRING analysis. 【Conclusion】 Ten key genes including CDK1 may play an important role in the initiation and progression of CNS-PNETs， providing new clues for exploring the pathogenesis of CNS-PNETs.