The pancreatic islet cell and testicular sertoli cells of rat were alone-and co-microencapsulated and cultured for 11 days, then insulin concentration of culture fluid was detected.The results showed that islet function in co-microencapsulated group was better than that in co-culture of microencapsulated islet and microencapsulated testicular sertoli cells and also better than that single microencapsulated islet group (P<0.05).

Objective To explore the predictive value of dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)combined with molybdenum target mammography for postoperative recurrence of triple-negative breast cancer(TNBC).Methods A total of 185 patients with TNBC radical surgery were selected,who all underwent DCE-MRI and molybdenum target mammography before surgery,and were followed up after surgery.The DCE-MRI results and molybdenum target mammography signs of the two groups were compared.The influencing factors of TNBC postoperative recurrence were analyzed.A prediction model was established and its prediction efficiency was evaluated.Results As of the follow-up time,the recurrence rate was 23.56％.Logistic risk regression model showed that percentage of type Ⅲ time-signal intensity curve(TIC),volume transfer constant(Ktrans),rate constant(Kep),and microcalcification nature were risk factors for TNBC postoperative recurrence(P＜0.05).The exponential equation was fitted,logit(P)=-9.187+0.215X1+0.962X2+1.145X3+0.733X4.The Hosmer-Lemeshow goodness-of-fit test results showed that the model had a high goodness-of-fit(x2=6.214,P=0.138).The area under the curve(AUC)of risk score prediction for postopera-tive recurrence was 0.908,while the sensitivity was 91.67％,and the specificity was 81.52％.Conclusion The risk prediction model based on DCE-MRI and molybdenum target mammography has a high predictive value for TNBC postoperative recurrence.

Age-associated changes in immune cells have been linked to an increased risk for infection. However, a global and detailed characterization of the changes that human circulating immune cells undergo with age is lacking. Here, we combined scRNA-seq, mass cytometry and scATAC-seq to compare immune cell types in peripheral blood collected from young and old subjects and patients with COVID-19. We found that the immune cell landscape was reprogrammed with age and was characterized by T cell polarization from naive and memory cells to effector, cytotoxic, exhausted and regulatory cells, along with increased late natural killer cells, age-associated B cells, inflammatory monocytes and age-associated dendritic cells. In addition, the expression of genes, which were implicated in coronavirus susceptibility, was upregulated in a cell subtype-specific manner with age. Notably, COVID-19 promoted age-induced immune cell polarization and gene expression related to inflammation and cellular senescence. Therefore, these findings suggest that a dysregulated immune system and increased gene expression associated with SARS-CoV-2 susceptibility may at least partially account for COVID-19 vulnerability in the elderly.
Adult ; Aged ; Aged, 80 and over ; Aging ; genetics ; immunology ; Betacoronavirus ; CD4-Positive T-Lymphocytes ; metabolism ; Cell Lineage ; Chromatin Assembly and Disassembly ; Coronavirus Infections ; immunology ; Cytokine Release Syndrome ; etiology ; immunology ; Cytokines ; biosynthesis ; genetics ; Disease Susceptibility ; Flow Cytometry ; methods ; Gene Expression Profiling ; Gene Expression Regulation, Developmental ; Gene Rearrangement ; Humans ; Immune System ; cytology ; growth & development ; immunology ; Immunocompetence ; genetics ; Inflammation ; genetics ; immunology ; Mass Spectrometry ; methods ; Middle Aged ; Pandemics ; Pneumonia, Viral ; immunology ; Sequence Analysis, RNA ; Single-Cell Analysis ; Transcriptome ; Young Adult