The regulatory processes in developmental biology research are significantly influenced by long non-coding RNAs (lncRNAs). However, the dynamics of lncRNA expression during human tooth development remain poorly understood. In this research, we examined the lncRNAs present in the dental epithelium (DE) and dental mesenchyme (DM) at the late bud, cap, and early bell stages of human fetal tooth development through bulk RNA sequencing. Developmental regulators co-expressed with neighboring lncRNAs were significantly enriched in odontogenesis. Specific lncRNAs expressed in the DE and DM, such as PANCR, MIR205HG, DLX6-AS1, and DNM3OS, were identified through a combination of bulk RNA sequencing and single-cell analysis. Further subcluster analysis revealed lncRNAs specifically expressed in important regions of the tooth germ, such as the inner enamel epithelium and coronal dental papilla (CDP). Functionally, we demonstrated that CDP-specific DLX6-AS1 enhanced odontoblastic differentiation in human tooth germ mesenchymal cells and dental pulp stem cells. These findings suggest that lncRNAs could serve as valuable cell markers for tooth development and potential therapeutic targets for tooth regeneration.
Humans ; RNA, Long Noncoding/metabolism* ; Odontogenesis/genetics* ; Tooth Germ/embryology* ; Cell Differentiation ; Gene Expression Regulation, Developmental ; Mesoderm/metabolism* ; Tooth/embryology* ; Gene Expression Profiling ; Sequence Analysis, RNA ; Dental Pulp/cytology*

Objective To analyze the risk factors of type 2 diabetic peripheral neuropathy(DPN)and to construct a clinical prediction model for DPN.Methods A retrospective review covered 581 patients with type 2 diabetes treated in the Department of Endocrinology and Metabolism Diseases of Changchun University of Traditional Chinese Medicine from September 2020 to November 2023;296 patients without diabetic kidney disease were classified as NDPD group and 285 patients with diabetic kidney disease were classified as DPN group.The clinical data of patients were collected;univariate analysis was performed followed by multivariate Logistic regression analysis to identify the variables with statistically significant differences to find independent risk factors.R software was used to construct a nomogram,and plot the receiver operating characteristic(ROC)curve and then calculated the cut-off value,and the discrimination of the model was represented by the area under curve(AUC)value.The calibration diagram of the model was drawn,and the Hosmer-Lemeshow test combined with the calibration curve was used to evaluate the prediction accuracy of the model.Results Seven risk factors were selected as age,disease duration,smoking history,hemoglobinA1c(HbA1c),total cholesterol(TC),triglyceride(TG),low density lipo-protein-cho-lesterol(LDL)and a prediction model was preliminarily established based on the above risk factors.The AUC value of the area under the ROC curve was 0.722(95%CI:0.673-0.771),and the cut-off value was 0.477(0.620,0.729)indicating that the model had certain predictive capacity and accuracy for DPN.The results of Hosmer-Lemeshow test showed that χ2=10.683,P=0.220,indicating that the model fit was good.The results of the cali-bration chart showed that the prediction curve and the calibration curve had a good degree of coincidence,indica-ting that the accuracy of the model was good.Conclusions The risk factors for peripheral neuropathy in patients with type 2 diabetes mellitus include age,course of disease,smoking history,HbA1c,TC,TG,LDL.The clinical prediction model based on these factors can provide a reference for early clinical screening and early identification of DPN patients.

L-asparaginase activity produced by six E. coli J53 strains containing different plasmids and plasmid free E. coli J53 strain was compared. The enzyme activity of the plasmid- bearing strains was about 2—4 times lower than that of the plasmid free ones. Curing the R plasmids from E. coli J53, the activity of L-asparaginase increased and was close to that of the plasmid free strain. It is proved that the remarkable inhibition of L-asparaginase activity results from the presence of the plasmid in E. coli.