Remodeling of the osteoimmune microenvironment after biomaterials implantation in murine tibia: Single-cell transcriptome analysis

Osseointegration seems to be a foreign body reaction equilibrium due to the complicated interactions between the immune and skeletal systems.The heterogeneity of the osteoimmune microenvironment in the osseointegration of implant materials remains elusive.Here,a single-cell study involving 40043 cells is conducted,and a total of 10 distinct cell clusters are identified from five different groups.A preliminary description of the osteoimmune microenvironment revealed the diverse cellular heterogeneity and dynamic changes modulated by implant properties.The increased immature neutrophils,Ly6C+CCR2hi monocytes,and S100a8hi macrophages induce an aggressive inflammatory response and eventually lead to the formation of fibrous capsule around the stainless steel implant.The enrichment of mature neutrophils,FcgR1hi and differentiated immunomodulatory macrophages around the titanium implant indicates favorable osseointegration under moderate immune response.Neutrophil-depletion mice are conducted to explore the role of neutrophils in osseointegration.Neutrophils may improve bone formation by enhancing the recruitment of BMSCs via the CXCL12/CXCR3 signal axis.These findings contribute to a better knowledge of osteoimmunology and are valuable for the design and modification of‘osteoimmune-smart’biomaterials in the bone regeneration field.

Method of GIL partial discharge localization based on natural neighbour interpolation and ECOC‐MLP‐SVM using optical simulation technology

Partial discharge(PD)is one of the main causes rendering the deterioration of the insulation state in gas‐insulated transmission line(GIL).Accurate and timely localization of the PD source is essential to ensure the safe and stable operation of the GIL.At present,optical PD detection technology shows advantages in terms of high sensitivity and strong anti‐inter-ference performance.Therefore,an optical PD localization method based on optical simulation fingerprint database is proposed.The introduction of simulation conquers the difficulty of obtaining a PD fingerprint database in field experiments.This method con-structs a simulation fingerprint database by performing PD simulation in a GIL simulation model of the same size as the actual GIL.The natural neighbour interpolation algorithm is applied to expand the simulation fingerprint database to cover all locations in the GIL.The two‐level localization method proposed is to match the PD fingerprint to be tested with the expanded fingerprint database,which can reduce the amount of calculation while main-taining the localization accuracy.The experimental results show that the average localiza-tion error of this method is only 9.7 mm,and the localization time is reduced by about 11 times compared with the normal one‐level localization method.