BACKGROUND: Regulatory dendritic cell (DCreg) subset exhibits a unique capacity for inducing immune tolerance among the variety subsets of dendritic cells (DCs) within gut-associated lymphoid tissues (GALTs). Fms-like tyrosine kinase 3 ligand (FLT3L) is involved in the differentiation of DCregs and the subsequent expansion of regulatory T-cells (Tregs) mediated by DCregs, though the precise mechanism remains poorly understood. This study aimed to explore the expansion mechanism of Treg induced by DCreg and the role of FLT3L in this process. METHODS: DCregs were distinguished from other DC subsets isolated from GALTs of BALB/c mice through a mixed lymphocyte reaction assay. The functions and mechanisms by which FLT3L promoted Treg expansion via DCregs were investigated in vitro through co-culture experiments involving DCregs and either CD4 + CD25 - T-cells or CD4 + CD25 + T-cells. Additionally, an in vivo experiment was conducted using a dextran sulfate sodium (DSS)-induced colitis model in mice. RESULTS: CD103 + CD11b + DC exhibited DCreg-like functionality and was identified as DCreg for subsequent investigation. Analysis of Foxp3 + Treg percentages within a co-culture system of CD4 + CD25 - T-cells and DCregs, with or without FLT3L, demonstrated the involvement of the FLT3/FLT3L axis in driving the differentiation of precursor T-cells into Foxp3 + Tregs induced by DCregs. Cell migration and co-culture assays revealed that the FLT3/FLT3L axis enhanced DCreg migration toward Tregs via the Rho pathway. Additionally, it was observed that DCregs could promote Treg proliferation through the Notch pathway, as inhibition of Notch signaling by DAPT (N-[N-(3,5-difluorophenacetyl)-l-alanyl]-S-phenylglycine t-butyl ester) suppressed Treg expansion within the co-culture system of DCregs and CD4 + T-cells or CD4 + CD25 + T-cells. Furthermore, the FLT3/FLT3L axis influenced JAG1 expression in DCregs, indirectly modulating Treg expansion. In vivo experiments further established that FLT3L promoted DCreg expansion and restored Treg balance in DSS-induced colitis models, thereby ameliorating colitis symptoms in mice. CONCLUSION The FLT3/FLT3L axis is integral to the maintenance of DCreg function in Treg expansion.
Animals ; T-Lymphocytes, Regulatory/immunology* ; Dendritic Cells/immunology* ; Mice ; Mice, Inbred BALB C ; Membrane Proteins/metabolism* ; Receptors, Notch/metabolism* ; Lymphoid Tissue/metabolism* ; Signal Transduction/physiology* ; Coculture Techniques ; Flow Cytometry

Objective:To investigate the accuracy and clinical utility of a newly designed acetabular bone defect classification system based on the ischial-gluteal pillar in assessing the severity of acetabular bone defects and guiding hip revision surgery.Methods:A retrospective analysis was conducted on 474 patients who underwent hip revision surgery for prosthetic loosening after total hip arthroplasty at our institution from January 2010 to December 2020, including 296 males and 178 females with a mean age of 70.4±8.9 years (range: 52-86 years). The accuracy of our classification system in guiding surgical procedures was evaluated by comparing preoperative defect classifications with intraoperative findings. Clinical outcomes were evaluated using preoperative and final follow-up Harris hip scores (HHS) and Oxford hip scores (OHS), as well as the incidence of complications.Results:Preoperative classifications included 143 Type I, 192 Type II (Type IIa: 86 cases, Type IIb: 59 cases, Type IIc: 47 cases), 93 Type III (Type IIIa: 54 cases, Type IIIb: 27 cases, Type IIIc: 12 cases), and 46 Type IV cases (Type IVa: 32 cases, Type IVb: 9 cases, Type IVc: 5 cases). Compared with intraoperative findings, classification accuracy was 99.3% for Type I (1 errors), 98.4% for Type II (3 errors), 97.8% for Type III (2 errors), and 97.8% for Type IV (1 misclassified as Type III). The mean follow-up was 5.8±4.4 years (range: 2-12 years). At final follow-up, mean HHS improved from 36.65±10.27 to 91.36±7.53, and mean OHS increased from 11.35±4.36 to 44.6±5.27 with significant difference ( P<0.001). Complications included one Type IV periprosthetic infection, one Type II hip dislocation, one Type I and two Type IV re-revisions (due to femoral loosening or graft resorption), one Type II and one Type III death unrelated to surgery, and one Type I postoperative thigh hematoma. No neurovascular injuries occurred. Conclusions:This novel 3D acetabular bone defect classification system, based on ischial-gluteal pillar integrity, provides accurate preoperative assessment and effectively guides surgical planning. Its application demonstrates favorable mid-term outcomes in hip revision surgery.

Objective:To investigate the accuracy and clinical utility of a newly designed acetabular bone defect classification system based on the ischial-gluteal pillar in assessing the severity of acetabular bone defects and guiding hip revision surgery.Methods:A retrospective analysis was conducted on 474 patients who underwent hip revision surgery for prosthetic loosening after total hip arthroplasty at our institution from January 2010 to December 2020, including 296 males and 178 females with a mean age of 70.4±8.9 years (range: 52-86 years). The accuracy of our classification system in guiding surgical procedures was evaluated by comparing preoperative defect classifications with intraoperative findings. Clinical outcomes were evaluated using preoperative and final follow-up Harris hip scores (HHS) and Oxford hip scores (OHS), as well as the incidence of complications.Results:Preoperative classifications included 143 Type I, 192 Type II (Type IIa: 86 cases, Type IIb: 59 cases, Type IIc: 47 cases), 93 Type III (Type IIIa: 54 cases, Type IIIb: 27 cases, Type IIIc: 12 cases), and 46 Type IV cases (Type IVa: 32 cases, Type IVb: 9 cases, Type IVc: 5 cases). Compared with intraoperative findings, classification accuracy was 99.3% for Type I (1 errors), 98.4% for Type II (3 errors), 97.8% for Type III (2 errors), and 97.8% for Type IV (1 misclassified as Type III). The mean follow-up was 5.8±4.4 years (range: 2-12 years). At final follow-up, mean HHS improved from 36.65±10.27 to 91.36±7.53, and mean OHS increased from 11.35±4.36 to 44.6±5.27 with significant difference ( P<0.001). Complications included one Type IV periprosthetic infection, one Type II hip dislocation, one Type I and two Type IV re-revisions (due to femoral loosening or graft resorption), one Type II and one Type III death unrelated to surgery, and one Type I postoperative thigh hematoma. No neurovascular injuries occurred. Conclusions:This novel 3D acetabular bone defect classification system, based on ischial-gluteal pillar integrity, provides accurate preoperative assessment and effectively guides surgical planning. Its application demonstrates favorable mid-term outcomes in hip revision surgery.

Dynamic tracking analysis of monoclonal antibodies (mAbs) biotransformation in vivo is crucial, as certain modifications could inactivate the protein and reduce drug efficacy. However, a particular challenge (i.e. immune recognition deficiencies) in biotransformation studies may arise when modifications occur at the paratope recognized by the antigen. To address this limitation, a multi-epitope affinity technology utilizing the metal organic framework (MOF)@Au@peptide@aptamer composite material was proposed and developed by simultaneously immobilizing complementarity determining region (CDR) mimotope peptide (HH24) and non-CDR mimotope aptamer (CH1S-6T) onto the surface of MOF@Au nanocomposite. Comparative studies demonstrated that MOF@Au@peptide@aptamer exhibited significantly enhanced enrichment capabilities for trastuzumab variants in comparison to mono-epitope affinity technology. Moreover, the higher deamidation ratio for LC-Asn-30 and isomerization ratio for HC-Asn-55 can only be monitored by the novel bioanalytical platform based on MOF@Au@peptide@aptamer and liquid chromatography-quadrupole time of flight-mass spectrometry (LC-QTOF-MS). Therefore, multi-epitope affinity technology could effectively overcome the biases of traditional affinity materials for key sites modification analysis of mAb. Particularly, the novel bioanalytical platform can be successfully used for the tracking analysis of trastuzumab modifications in different biological fluids. Compared to the spiked phosphate buffer (PB) model, faster modification trends were monitored in the spiked serum and patients' sera due to the catalytic effect of plasma proteins and relevant proteases. Differences in peptide modification levels of trastuzumab in patients' sera were also monitored. In summary, the novel bioanalytical platform based on the multi-epitope affinity technology holds great potentials for in vivo biotransformation analysis of mAb, contributing to improved understanding and paving the way for future research and clinical applications.

Objective·To verify the accuracy and clinical feasibility of fluoroscopic stereophotogrammetric analysis(FSA)technology based on two dimension(2D)-three dimension(3D)registration for early migration detection of aseptic loosening of joint prostheses.Methods·2D-3D registration algorithms centering on the light source and projected object respectively in FSA technology were verified under various working conditions through image synthesis experiments,and the feasibility of clinical application was verified through real model experiments.The image synthesis experiment established a perspective projection environment with the same parameters as the real environment in a virtual environment,the 2D perspective images of the 3D model(bone or prosthesis)during the six degrees of freedom transformation were recorded,and the six degrees of freedom transformation of the 3D model was restored by using different 2D-3D registration algorithms.The error of each registration algorithm was calculated.For real model validation,the migration between bone and prosthesis after joint replacement surgery was simulated with a high precision bone prosthesis migration simulator.The 3D model of the bone or prosthesis was reconstructed by using computed tomograph(CT)images and optical scanning,and the 2D perspective images before and after prosthesis migration were captured by using a fluoroscopy device.The migration of the prosthesis was restored by using FSA technology based on 2D-3D registration,and the error of FSA technology was calculated.Results·The accuracy of the 2D-3D registration algorithm centering on the light source was higher than that of the algorithm centering on the projected object under different working conditions.When the initial registration conditions were favorable,the algorithm centering on the light source reduced the rotation error compared to the algorithm centering on the projected object,with a statistical difference(P=0.021),and the displacement error decreases,with a significant statistical difference(P=0.000).Moreover,algorithms centering on the light sources required lower similarity and fewer registration times to meet clinical application requirements.Conclusion·The accuracy of FSA technology based on 2D-3D registration in early migration detection of artificial joint prostheses meets clinical application requirements.This technology can warn of late aseptic loosening of prostheses by detecting early migration of prostheses after joint replacement surgery,and is expected to be applied to clinical practice through further research.

Dynamic tracking analysis of monoclonal antibodies(mAbs)biotransformation in vivo is crucial,as certain modifications could inactivate the protein and reduce drug efficacy.However,a particular chal-lenge(i.e.immune recognition deficiencies)in biotransformation studies may arise when modifications occur at the paratope recognized by the antigen.To address this limitation,a multi-epitope affinity technology utilizing the metal organic framework(MOF)@Au@peptide@aptamer composite material was proposed and developed by simultaneously immobilizing complementarity determining region(CDR)mimotope peptide(HH24)and non-CDR mimotope aptamer(CH1S-6T)onto the surface of MOF@Au nanocomposite.Comparative studies demonstrated that MOF@Au@peptide@aptamer exhibited signifi-cantly enhanced enrichment capabilities for trastuzumab variants in comparison to mono-epitope af-finity technology.Moreover,the higher deamidation ratio for LC-Asn-30 and isomerization ratio for HC-Asn-55 can only be monitored by the novel bioanalytical platform based on MOF@Au@peptide@aptamer and liquid chromatography-quadrupole time of flight-mass spectrometry(LC-QTOF-MS).Therefore,multi-epitope affinity technology could effectively overcome the biases of traditional affinity materials for key sites modification analysis of mAb.Particularly,the novel bioanalytical platform can be suc-cessfully used for the tracking analysis of trastuzumab modifications in different biological fluids.Compared to the spiked phosphate buffer(PB)model,faster modification trends were monitored in the spiked serum and patients'sera due to the catalytic effect of plasma proteins and relevant proteases.Differences in peptide modification levels of trastuzumab in patients'sera were also monitored.In summary,the novel bioanalytical platform based on the multi-epitope affinity technology holds great potentials for in vivo biotransformation analysis of mAb,contributing to improved understanding and paving the way for future research and clinical applications.

Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.

Nonalcoholic fatty liver disease (NAFLD) interacts with the intestinal immune system due to enterohepatic circulation and immune cell recruitment and recirculation. Intestinal immune imbalance promotes liver inflammation and fibrosis in the process of NAFLD, and meanwhile, NAFLD can cause disorders in the number and function of immune cells in the liver and intestinal tract. This article mainly elaborates on the impact of NAFLD on intestinal immune cells and briefly summarizes the new treatment methods for NAFLD targeting at intestinal immune cells, in order to provide a new understanding of the pathogenesis and treatment of NAFLD.

Obstructive sleep apnea (OSA) may induce chronic intermittent hypoxia, which may lead to the disorders of multiple systems and organs and even sudden cardiac death in severe cases. Besides respiratory, cardiovascular, endocrine, and metabolic diseases, OSA is also closely associated with nonalcoholic fatty liver disease (NAFLD). This article briefly describes the current status of OSA and NAFLD, introduces the impact of OSA on NAFLD, and reviews the mechanisms of OSA in NAFLD. It is pointed out that clarifying the mechanisms of OSA in affecting NAFLD and discovering potential prevention and treatment targets for NAFLD from the aspect of OSA are of great significance in delaying and even blocking the progression of NAFLD.

Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.