The feasibility of using cord blood mesenchymal stem/progenitor cells (CB-MSPCs) to regenerate cardiomyocytes and the optimal inducing conditions were investigated. The CB mononuclear cells were cultured in low serum DMEM medium to produce an adherent layer. After expansion, the adherent cells were added into cardiomyocyte inducing medium supplemented with 5-azacytidine. Cardiogenic specific contractile protein troponin T staining was performed to identify the cardiomyocyte-like cells. The results showed that the frequency of CB-MSPCs clones in CB mononuclear cells was 0.5 x 10(-6) and about 1.3 x 10(7)-fold expansion was achieved within 20 sub-cultivation. After cardiogenic induction, 70% CB-MSPCs was differentiated into cardiomyocyte-like cells. It was indicated that low serum culture could expand CB-MSPCs extensively and the expanded CB-MSPCs could be induced to differentiate into cardiomyocyte-like cells in high efficiency.
Azacitidine/pharmacology ; Cell Differentiation ; Cells, Cultured ; Culture Media, Conditioned ; Fetal Blood/*cytology ; Fluorescent Antibody Technique ; Mesenchymal Stem Cells/*cytology ; Myocytes, Cardiac/*cytology ; Troponin T

The feasibility of using cord blood mesenchymal stem/progenitor cells (CB-MSPCs) to regenerate cardiomyocytes and the optimal inducing conditions were investigated. The CB mononuclear cells were cultured in low serum DMEM medium to produce an adherent layer. After expansion, the adherent cells were added into cardiomyocyte inducing medium supplemented with 5-azacytidine. Cardiogenic specific contractile protein troponin T staining was performed to identify the cardiomyocyte-like cells. The results showed that the frequency of CB-MSPCs clones in CB mononuclear cells was 0.5 x 10(-6) and about 1.3 x 10(7)-fold expansion was achieved within 20 sub-cultivation. After cardiogenic induction, 70% CB-MSPCs was differentiated into cardiomyocyte-like cells. It was indicated that low serum culture could expand CB-MSPCs extensively and the expanded CB-MSPCs could be induced to differentiate into cardiomyocyte-like cells in high efficiency.
Azacitidine ; pharmacology ; Cell Differentiation ; Cells, Cultured ; Culture Media, Conditioned ; Female ; Fetal Blood ; cytology ; Fluorescent Antibody Technique ; Humans ; Male ; Mesenchymal Stromal Cells ; cytology ; Myocytes, Cardiac ; cytology ; Pregnancy ; Troponin T

The pathogenesis of diabetic retinopathy (DR) is complex.Antisense non-coding RNA (ANRIL) in the INK4 locus in long-chain non-coding RNA (lncRNA) is closely related to cell proliferation,differentiation,and individual development.It plays an important role in the dysplasia of retinal vascular endothelial cells and is a new field in the study of the pathogenesis of DR.According to the researches at present,ANRIL may plays its role in the occurrence and development of DR through the signal pathway of nuclear factor-κB and ROS/polyadenylation diphosphate ribose polymerase,and interact with p300,miR-200b,and EZH2 to regulating the expression and function of VEGF.Specific blocking ANRIL and its related pathwaysmay become a new target in the treatment of DR.

Objective:To explore the value of conventional magnetic resonance imaging (MRI), diffusion weighted imaging (DWI), diffusion kurtosis imaging (DKI) sequence and pathological examination in predicting the efficacy of neoadjuvant chemotherapy (NAC) in advanced breast cancer.Methods:The clinical data of 65 cases of advanced breast cancer with NAC confirmed by pathology in the Affiliated Hospital of Jining Medical University from March 2022 to May 2023 were retrospectively analyzed, including 20 cases in the pathological complete remission (pCR) group and 45 cases in the non pCR group; All patients underwent routine MRI, DWI, DKI examinations and pathological analysis. The clinical pathological data, routine MRI features, apparent diffusion coefficient (ADC) values, mean kurtosis coefficient (MK), and mean diffusion coefficient (MD) between the two groups were analyzed; We compared the differences in various parameters between two groups and plotted receiver operating characteristic (ROC) curves to compare their diagnostic efficacy of NAC in breast cancer.Results:There were significant differences in molecular typing, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (Her-2) and Ki-67 between pCR group and non pCR group (all P<0.05). In pCR group, Her-2 overexpression type and triple negative breast cancer (TNBC) type breast cancer were more common. ER and PR were mostly negative, Her-2 was mostly positive, and Ki 67 was mainly positive. The difference in tumor T2WI signal between the pCR group and the non pCR group was statistically significant ( P<0.05), with the pCR group showing mostly moderate/low T2WI signal. The ADC and MD values of the pCR group were lower than those of the non pCR group, while the MK value of the pCR group was higher than that of the non pCR group, and the differences were statistically significant (all P<0.001). The area under the ROC curve (AUC) for predicting the efficacy of NAC using a clinical pathological model was 0.829, which was higher than the AUC of molecular subtypes, ER, PR, Her-2, and Ki-67 ( Z=3.008, 2.697, 2.815, 2.131, 2.376, all P<0.05); The AUC of the DKI+ DWI predicting the efficacy of NAC was 0.934, which was higher than that of the DWI single sequence model, and the difference in type was statistically significant ( Z=2.396, P=0.017). The diagnostic efficacy of the DKI+ DWI model was higher than that of the single parameter ADC, MD, and MK, and the differences were statistically significant ( Z=2.396, 2.219, 2.161, all P<0.05); The AUC of the combined imaging and pathology model was 0.983, and its diagnostic efficacy was higher than that of the conventional MRI feature model, pathology model, DWI model, and DKI model, with statistically significant differences ( Z=5.877, 2.961, 3.240, 2.264, all P<0.05). Conclusions:The results of pathology, conventional MRI, DWI and DKI parameters of pCR and non pCR breast cancer patients are significantly different, and the combined model is better than the single model in predicting the efficacy of NAC.