Objective To assess the efficacy of NaClO irrigation of root canal at different temperatures.(Methods Thirty) human teeth with single root-canal mandible premolar were instrumented using standard technique,then were divided into 3 groups,carrying on root-canal irrigation.group A: 5.25% NaClO+System B,group B:5.25% NaClO+15% EDTA,group C:5.25% NaClO+System B+15% EDTA.After the teeth root were split,the scanning electron microscope was used to observe the coronal third,middle third and apical third parts.(Results The) amount of remaining debris on root canal wall in group C decreased significantly,compared with group A and B.The differences of coronal third and middle third between group A and B,group B and C,group A and C were significant(P0.05),but there were significant differences between group A,B and C(P

Objective To solve the problem of large data volume,multiple dimensions and low value for assisting traditional Chinese medicine clinical diagnosis in home health perception layer devices.Methods Based on the principles of traditional Chinese medicine diagnosis,this paper divides home health data into three types:complementary,redundant,and collaborative,and proposes a solution for data fusion at the levels of device data,home events,and traditional Chinese medicine symptoms.Results The proposed data fusion solution in this paper enables the data collected by various devices in the home environment to work together,extracts home data that is more valuable for traditional Chinese medicine diagnosis,and reduces the real-time pressure on the home network bandwidth caused by the sensors on the home side.Conclusion The construction of an open IoT ecosystem for home health based on multiple devices is a huge project,which includes the construction of perception layer hardware,data cleaning,fusion,normalization,labeling,modeling,and other aspects.This paper focuses on the idea of home health data fusion,which can provide directions for cleaning up heterogeneous data from multiple sources at home and also provide ideas for subsequent data labeling and modeling with traditional Chinese medicine characteristics,thus providing more valuable decision-making assistance for traditional Chinese medicine clinical practice.

Objective:To investigate the mechanism of benzyl isothiocyanate(BITC) in the treatment of anaplastic thyroid cancer(ATC).Methods:Using network pharmacological analysis, key targets of BITC and ATC were screened, followed by GO and KEGG enrichment analysis. In order to validate the findings, AutoDock software was used to dock BITC and ATC key targets. BITC was applied to two ATC cell lines(8505C and CAL-62). Flow cytometry was used to analyze cell apoptosis. Autophagy inhibitors hydroxychloroquine sulfate(HCQ) and 3-methyladenine(3MA) were used in combination with BITC. Real-time quantitative PCR was conducted to detect the gene level of LC3B, while Western blotting was utilized to examine the expression of NF-κB, LC3B Ⅱ, Beclin-1, and Bcl-2. In animal experiments, a mouse tumor model was constructed using CAL-62 cells, treated with intraperitoneal injections of BITC(100 mg/kg) and normal saline respectively, administered every other day for a total of 21 days. Immunoblotting of tumor tissue was performed to detect the expression of LC3B Ⅱ, Bcl-2, Beclin-1, and NF-κB.Results:A total of 10 key targets with binding energies≤-4.0 kcal/mol were identified. KEGG analysis showed that these genes are mainly involved in NF-κB signaling pathway and apoptosis. BITC inhibited ATC cells with IC50 values of 27.56 μmol/L for 8505C and 28.30 μmol/L for CAL-62. The expression levels of NF-κB, Beclin-1, and Bcl-2 decreased, while LC3B Ⅱ and LC3B gene expression increased. Combining 3MA with BITC enhanced cell inhibition LC3B Ⅱ expression. HCQ increased LC3B Ⅱ expression without enhancing cell and viability inhibition. In the mouse tumor model, compared to the control group, the treatment group had higher LC3B Ⅱ and lower Bcl-2, Beclin-1, and NF-κB levels.Conclusion:BITC could inhibit the growth of ATC cells in vitro and in vivo, disrupt the autophagy degradation, and inhibit the NF-κB pathway.

Objective To establish an allogeneic rat model of endometriosis and to evaluate the effects of gonadotropin-releasing hormone (GnRH) agonist GenSci006 on experimental rat endometriosis. Methods Endometrium from SPF grade donor female SD rats were transplanted onto the abdominal wall of recipient female rats to construct an allogeneic endometriosis model. The rats undergoing sham surgery were divided into the sham group. Three weeks later, the length, width and height of the ectopic endometrium were measured, and the volume of the endometrium (V₁) was calculated before drug administration. The modeling rats were randomly divided into four groups: model group, triptorelin group (0.25 mg/kg), GenSci006-1 group (0.125 mg/kg) and GenSci006-2 group (0.25 mg/kg). Each group had 16 rats and received a single dose of the corresponding drug. The sham group and model group were administered an equal volume of solvent. Three weeks after administration, ectopic endometrium was measured to calculate the volume V₂ and inhibition rate. The effect of GenSci006 on rat uterus and ovarian tissues was assessed by comparing organ coefficients and changes in pathological sections. Enzyme-linked immunosorbent assay (ELISA) was used to measure the levels of serum estradiol (E₂), progesterone (P₄), follicle stimulating hormone (FSH), and luteinizing hormone (LH). Real-time fluorescent quantitative PCR was used to detect the expression of GnRH receptor (GnRHR) mRNA in the hypothalamus and pituitary. Western blot was used to detect the expression of estradiol receptor alpha (ERα), beta (ERβ) and progesterone receptor (PR) in ectopic endometrium. Results Three weeks after administration, compared with the model group, the body weight of rats in the triptorelin and GenSci006-2 groups significantly increased (P < 0.05), while the volume of ectopic endometrium significantly decreased (P < 0.05). Compared with the sham group, the model group showed no significant changes in uterine and ovarian organ coefficients or endometrial thickness (P > 0.05). Compared with the model group, the uterine organ coefficients and endometrial thickness were significantly reduced in the triptorelin and GenSci006-2 groups (P < 0.05). Compared with the sham group, the serum levels of E₂, P₄, FSH and LH in the model group showed no significant changes (P > 0.05). Compared with the model group, the ovarian organ coefficient and serum P₄ levels of rats in the Triptorelin, GenSci006-1, and GenSci006-2 groups were significantly reduced (P < 0.05), while the serum LH levels of rats in the GenSci006-1 group were significantly increased (P < 0.05). However, there were no significant changes in serum E₂ and FSH levels in each group (P > 0.05). Compared with the model group, the expression levels of GnRHR mRNA in the pituitary tissue of rats in the triptorelin and GenSci006-2 groups were significantly downregulated (P < 0.05), with no significantly changes in the hypothalamus (P > 0.05). There were no significant changes in the expression level of GnRHR mRNA in the hypothalamus or the protein levels of ERα, ERβ and PR in the ectopic endometrial tissue in any group (P > 0.05). Conclusion The allogeneic endometriosis rat model is a suitable animal model for screening and evaluating drugs for treating endometriosis. The volume of ectopic endometrium, inhibition rate, uterine and ovarian organ coefficients, and serum E₂ levels may serve as indicators for detecting drug efficacy.

Activation of the heart normally begins in the sinoatrial node (SAN). Electrical impulses spontaneously released by SAN pacemaker cells (SANPCs) trigger the contraction of the heart. However, the cellular nature of SANPCs remains controversial. Here, we report that SANPCs exhibit glutamatergic neuron-like properties. By comparing the single-cell transcriptome of SANPCs with that of cells from primary visual cortex in mouse, we found that SANPCs co-clustered with cortical neurons. Tissue and cellular imaging confirmed that SANPCs contained key elements of glutamatergic neurotransmitter system, expressing genes encoding glutamate synthesis pathway (Gls), ionotropic and metabotropic glutamate receptors (Grina, Gria3, Grm1 and Grm5), and glutamate transporters (Slc17a7). SANPCs highly expressed cell markers of glutamatergic neurons (Snap25 and Slc17a7), whereas Gad1, a marker of GABAergic neurons, was negative. Functional studies revealed that inhibition of glutamate receptors or transporters reduced spontaneous pacing frequency of isolated SAN tissues and spontaneous Ca