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At present, implant surgery robots have basically achieved "surgical intelligence", but "brain-inspired intelligence" of robots is still in the stage of theory and exploration. The formulation of a clinical implantation plan depends on the timing of implantation, implantation area, bone condition, surgical procedure, patient factors, etc., which need to evaluate the corresponding clinical decision indicators and clinical pathways. Inspired by evidence-based medicine and the potential of big data and deep learning, combined with the data characteristics of clinical decision indicators and clinical pathways that can be quantitatively or qualitatively analyzed, this review simulates the cognitive behavior and neural mechanisms of the human brain and proposes a feasible brain-inspired intelligence scheme by predicting the decision indices and executing clinical pathways intelligently, that is, "select clinical indicators and clarify clinical pathways -- construct database -- use deep learning to intelligently predict decision indicators -- intelligent execution of clinical pathways -- brain-inspired intelligence of implant decision-making". Combined with the previous research results of our team, this review also describes the process of realization of brain-inspired intelligence for immediate implant timing decisions, providing an example of the comprehensive realization of brain-inspired intelligence of implant surgery robots in the future. In the future, how to excavate and summarize other clinical decision factors and select the best way to realize the automatic prediction of evidence-based clinical indicators and pathways and finally realize the complete intellectualization of clinical diagnosis and treatment processes will be one of the directions that dental clinicians need to strive for.

Objective To investigate the regulation of innate immune response of HMC-1 mast cells to human rhinovirus (HRV) infection. Methods Virus replication in HMC-1 cells was quantified by real-time quantitative PCR (qRT-PCR). Cell viability and apoptosis were assessed by flow cytometry. The levels of tumor necrosis factor α (TNF-α), interferon α (IFN-α), interleukin 6 (IL-6) and IL-8 produced by HMC-1 cells were measured using ELISA. Results After HRV infected HMC-1 cells, the copy numbers of virus RNA and apoptotic cells increased obviously over time, what's more, the release of TNF-α, IFN-α, IL-6 and IL-8 from HMC-1 cells ascended significantly compared with control groups. Conclusion HRV infection can promote mast cell apoptosis and enhance the release of inflammatory cytokines from mast cells.

Objective: To establish a quantitative real-time PCR method to detect the transcriptions of Th1/Th2 cytokines in RAW264.7 cells., Methods: The specific primers were designed according to the sequences of TNF-α, IFN-γ, IL-2, IL-4, IL-6, IL-10 and β-actin in GenBank database. Total RNA was extracted from RAW264.7 cells, and then was reverse-transcriped into cDNA, which was established as a positive standard template of the quantitative real-time PCR method. The established method was used to detect the cytokine transcriptions in RAW264.7 cells infected with Brucella abortus S2308., Results: Cytokine genes above had a good linear relationship (R(2);≥ 0.982) with the detection limit of 10(2); copies/μL standard samples. The established quantitative real-time PCR method showed high specificity, sensitivity, and single melting peak for every cytokine., Conclusion: The quantitative real-time PCR method for detecting the transcription levels of cytokine Th1 and Th2 of macrophage RAW264.7 cells was established successfully.

Objective: Autoinducer 2 (AI-2), used to communicate among bacterial species, regulates numerous physiological functions of bacteria. In this study, we studied the effect of AI-2 on adherence and invasion of Riemerella antatipestifer (RA) strain CH3 to Vero cells and transcriptional levels of virulence-related and metabolism-related genes were investigated., Methods: To verify whether the adherence and invasion of CH3 was affected by AI-2, we added different concentrations of AI-2 to the cocultures of Vero cells and CH3 and then calculated adherence percentages and invasion percentages of tested groups. We further added AI-2 (184.0 micromol/L) to the tryptone soya broth culture of CH3 and then detected the effect of transcriptional levels of related genes of CH3 using real-time PCR., Results: The adherence of CH3 to Vero cells was decreased most to 62% with 18.4 micromol/L AI-2 and the invasion of CH3 to Vero cells was increased most to 194% with 184.0 micromol/L AI-2. The result of real-time PCR shows that AI-2 increased transcriptional levels of some virulence-related genes and decreased transcriptional levels of some metabolism-related genes., Conclusion: These results suggest that AI-2 affected adherence and invasion of CH3 to Vero cells. Moreover, AI-2 could regulate some genes of CH3 to modulate particular physiological behaviors.

Bacterial ghost is intact envelope of Gram-negative bacteria, which is produced by the function of the lysis gene E from bacteriophage PhiX174. The expression of the lysis gene E is usually controlled by the thermosensitive lambdapL/pR-cI857 promoter. In this study, we described a mutation (T --> C) at the ninth nucleotide of the OR2 in the lambdapR promoter of the lambdapL/pR-cI857 system by overlap PCR. The bacteriolytic assay showed that the mutation in the lambdapL/pR-cI857 system enhanced the temperature of repressing the expression of gene E up to 37 degrees C. The lysis efficiency of altered lambdapR promoter in Escherichia coli DH5a and avian pathogenic E. coli DE17 was up to 99.9%. The expanded range of temperature will benefit for the production of bacterial ghost.