In order to further standardize the vaccination of kidney transplant candidates and recipients in China, the Branch of Organ Transplantation of Chinese Medical Association has organized experts in kidney transplantation and infectious diseases. Based on the "Vaccination of Solid Organ Transplant Candidates and Recipients: Guidelines from the American Society of Transplantation Infectious Diseases Community of Practice", and in combination with the clinical reality of infectious diseases and vaccination after organ transplantation in China, as well as referring to relevant recommendations from home and abroad in recent years, these guidelines are formulated from aspects such as epidemiology, types of vaccines, vaccination principles, target population, and specific vaccine administration. The "Guidelines for Vaccination of Kidney Transplant Candidates and Recipients in China" aims to provide theoretical reference for medical workers in the field of kidney transplantation in China, regarding the vaccination of kidney transplant candidates and recipients. It is expected to better guide the vaccination of kidney transplant candidates and recipients, reduce the risk of postoperative infection, and improve survival outcomes.

Objective To analyze the nonlinear relationship between hypothermic machine perfusion (HMP) parameters and delayed graft function (DGF) and optimize the construction of a predictive model for DGF. Methods The data of 923 recipients who underwent kidney transplantation from deceased donors were retrospectively analyzed. According to the occurrence of DGF, the recipients were divided into DGF group (n=823) and non-DGF group (n=100). Donor data, HMP parameters and recipient data were analyzed for both groups. The nonlinear relationship between HMP parameters and the occurrence of DGF was explored based on restricted cubic splines (RCS). Over-sampling, under-sampling and balanced sampling were used to address the imbalance in the proportion of DGF to construct logistic regression predictive models. The area under the curve (AUC) of each model was compared in the validation set, and a nomogram model was constructed. Results Donor BMI, cold ischemia time of the donor kidney, and HMP parameters (initial and final pressures, resistance, and perfusion time) were significantly different between the DGF and non-DGF groups (all P<0.05). The RCS analysis revealed a threshold-like nonlinear relationship between HMP parameters and the risk of DGF. Among the models constructed using different sampling methods, the balanced sampling model had the highest AUC. Using this model, a nomogram was constructed to stratify recipients based on risk scores. Recipients in the high-risk group had higher serum creatinine levels at 1, 6, and 12 months after kidney transplantation compared to those in the low-risk group (all P<0.05). Conclusions There is a nonlinear relationship between HMP parameters and the risk of DGF, and the threshold is helpful for organ quality assessment and monitoring of graft function after transplantation. The predictive model for DGF constructed on the base of balanced sampling algorithms helps perioperative decision-making and postoperative graft function monitoring of kidney transplantation.

Objective To investigate the characteristics of adverse drug event(ADE)related to tacrolimus(Tac)in pediatric solid organ transplant recipients.Methods The data were retrieved from the US Food and Drug Administration Adverse Event Reporting System database from the first quarter of 2004 to the second quarter of 2023.The ADE data of pediatric organ transplant recipients with Tac as the primary suspected drug were extracted.The relationship between Tac and ADE was quantitatively analyzed by proportional imbalance method.Basic characteristics and signal strength of ADE related to Tac were analyzed.ADE related to Tac in children of different ages and different types of organ transplantation were analyzed.Results A total of 1 443 children's ADE reports involving Tac were screened,including 188 cases(13.0％)of heart transplantation,668 cases(46.3％)of liver transplantation,531 cases(36.8％)of kidney transplantation and 56 cases(3.9％)of lung transplantation.The median age of children was 10 years old.The top three countries with ADE reporting were the United States,France and the United Kingdom.China reported 26 cases,accounting for 1.8％.Infection and infectious diseases accounted for the highest proportion(20.96％)in ADE related to Tac,including EB virus and cytomegalovirus infection,etc.Infection and infectious diseases occupied the largest proportion of ADE related to Tac in children of different ages,whereas the pathogen types were different.Rejection,unstable immunosuppression level and renal function damage were also common ADE related to Tac in children of all ages.Nervous system disease was the main ADE in heart transplant recipients,while infection and infectious diseases were more common in liver and kidney transplant recipients.Rejection was the most common ADE in lung transplant recipients.Conclusions ADE related to Tac possess different distribution characteristics in different types of organ transplantation.Extensive attention should be paid to individualized drug monitoring and risk assessment in pediatric organ transplant recipients,thereby optimizing Tac treatment and reducing the risk of ADE.

Objective To explore the molecular mechanisms and cell-cell interactions in the injury process of pancreatic islet transplantation.Methods Single-cell transcriptome data from mouse islets treated with inflammatory factors were used,and data processing was performed using the Seurat package,with integrated data to remove batch effects.Cell subpopulations were annotated based on known markers.Cell-cell interactions in the inflammatory factor-treated group were analyzed using the CellChat package,and inferred based on the expression of cell surface receptors and ligands.Gene set enrichment analysis was used to clarify the biological processes enriched in β-cells after treatment with inflammatory factors.Finally,differentially expressed transcription factors were identified and verified using microarray datasets of donor islet ischemic injury and Western blotting.Results A total of 7 different cell subpopulations were found in mouse islets,with β-cells being the most abundant.Cell-cell interaction network analysis showed that the number and strength of interactions between ductal cells and other cells were the highest.Gene set enrichment analysis showed that after treatment with inflammatory factors,the immune response was positively enriched in β-cells,while peptide hormone metabolism,bile acid metabolism,and ion homeostasis were downregulated.The common differential transcription factors identified in the mouse single-cell transcriptome and the microarray dataset of donor islet ischemic injury were early growth response 1(EGR1),nuclear factor-κB inhibitor α(NFKBIA),and activating transcription factor 3(ATF3).Among them,NFKBIA and ATF3 were upregulated,while EGR1 was downregulated.The expression of EGR1 protein was downregulated after 24 h,48 h,and 72 h of cold ischemia.Conclusions EGR1 is a transcription factor closely related to islet cold ischemia,and future research should focus on the specific mechanisms of EGR1 and its downstream target genes,in order to provide more effective strategies for clinical treatment of islet transplantation.

γ-aminobutyric acid can be produced by a one-step enzymatic reaction catalyzed by glutamic acid decarboxylase. The reaction system is simple and environmentally friendly. However, the majority of GAD enzymes catalyze the reaction under acidic pH at a relatively narrow range. Thus, inorganic salts are usually needed to maintain the optimal catalytic environment, which adds additional components to the reaction system. In addition, the pH of solution will gradually rise along with the production of γ-aminobutyric acid, which is not conducive for GAD to function continuously. In this study, we cloned the glutamate decarboxylase LpGAD from a Lactobacillus plantarum capable of efficiently producing γ-aminobutyric acid, and rationally engineered the catalytic pH range of LpGAD based on surface charge. A triple point mutant LpGAD^{S24R/D88R/Y309K} was obtained from different combinations of 9 point mutations. The enzyme activity at pH 6.0 was 1.68 times of that of the wild type, suggesting the catalytic pH range of the mutant was widened, and the possible mechanism underpinning this increase was discussed through kinetic simulation. Furthermore, we overexpressed the Lpgad and Lpgad^{S24R/D88R/Y309K} genes in Corynebacterium glutamicum E01 and optimized the transformation conditions. An optimized whole cell transformation process was conducted under 40 ℃, cell mass (OD₆₀₀) 20, 100 g/L l-glutamic acid substrate and 100 μmol/L pyridoxal 5-phosphate. The γ-aminobutyric acid titer of the recombinant strain reached 402.8 g/L in a fed-batch reaction carried out in a 5 L fermenter without adjusting pH, which was 1.63 times higher than that of the control. This study expanded the catalytic pH range of and increased the enzyme activity of LpGAD. The improved production efficiency of γ-aminobutyric acid may facilitate its large-scale production.
Glutamate Decarboxylase/genetics* ; Lactobacillus plantarum/genetics* ; Catalysis ; gamma-Aminobutyric Acid ; Hydrogen-Ion Concentration ; Glutamic Acid

Objective To identify M1 macrophage-related genes in rejection after kidney transplantation and construct a risk prediction model for renal allograft survival. Methods GSE36059 and GSE21374 datasets after kidney transplantation were downloaded from Gene Expression Omnibus (GEO) database. GSE36059 dataset included the samples from the recipients with rejection and stable allografts. Using this dataset, weighted gene co-expression network analysis (WGCNA) and differential analysis were conducted to screen the M1 macrophage-related differentially expressed gene (M1-DEG). Then, GSE21374 dataset (including the follow-up data of graft loss) was divided into the training set and validation set according to a ratio of 7∶3. In the training set, a multivariate Cox's model was constructed using the variables screened by least absolute shrinkage and selection operator (LASSO), and the ability of this model to predict allograft survival was evaluated. CIBERSORT was employed to analyze the differences of infiltrated immune cells between the high-risk group and low-risk group, and the distribution of human leukocyte antigen (HLA)-related genes was analyzed between two groups. Gene set enrichment analysis (GSEA) was used to further clarify the biological process and pathway enrichment in the high-risk group. Finally, the database was employed to predict the microRNA (miRNA) interacting with the prognostic genes. Results In the GSE36059 dataset, 14 M1-DEG were screened. In the GSE21374 dataset, Toll-like receptor 8 (TLR8), Fc gamma receptor 1B (FCGR1B), BCL2 related protein A1 (BCL2A1), cathepsin S (CTSS), guanylate binding protein 2(GBP2) and caspase recruitment domain family member 16 (CARD16) were screened by LASSO-Cox regression analysis, and a multivariate Cox's model was constructed based on these 6 M1-DEG. The area under curve (AUC) of receiver operating characteristic of this model for predicting the 1- and 3-year graft survival was 0.918 and 0.877 in the training set, and 0.765 and 0.736 in the validation set, respectively. Immune cell infiltration analysis showed that the infiltration of rest and activated CD4⁺ memory T cells, γδT cells and M1 macrophages were increased in the high-risk group (all P < 0.05). The expression level of HLA I gene was up-regulated in the high-risk group. GSEA analysis suggested that immune response and graft rejection were enriched in the high-risk group. CTSS interacted with 8 miRNA, BCL2A1 and GBP2 interacted with 3 miRNA, and FCGR1B interacted with 1 miRNA. Conclusions The prognostic risk model based on 6 M1-DEG has high performance in predicting graft survival, which may provide evidence for early interventions for high-risk recipients.

As novel coronavirus infection has become a major public health problem affecting human health, vaccination is the most effective means of preventing novel coronavirus infection.Therefore, besides implementing regular epidemic prevention and control, it has become the consensus of international community for effective prevention and control of novel coronavirus infection through accelerating the speed of novel coronavirus vaccination, expanding the scope of vaccination and improving public vaccination rate.Kidney transplant recipients are at an elevated risk of novel coronavirus infection.This population has been in a low immune state for a long time.Thus there are problems such as reduced immunogenicity of COVID-19 vaccine, selection and use of vaccine and breakthrough of infection.Based upon the published international and domestic data, this paper serves as a practical reference for clinicians and healthcare workers to provide consultations to kidney transplant recipients about the administration of novel coronavirus vaccine.

Objective:To explore the temporal distribution of high level of BK virus(BKV) viruria after kidney transplantation(KT)and the association of high level of viruria with clinical factors and specific human leukocyte antigen(HLA)sites in donors and recipients.Methods:From January 1, 2017 to December 31, 2019, clinical data were retrospectively reviewed for 212 recipients of cadaveric KT.A high level of urinary BKV viruria was defined as urinary BKV-DNA quantification>10 7(copies/ml)after KT while 212 recipients with the same gender composition below the threshold during the same period were selected as low-level controls.Clinical data and HLA sites of two groups were statistically analyzed and risk factors for high level of viruria screened by univariate and multifactorial Logistic regressions. Results:The median time to initial high-level BKV infection in urine after RT was 125.5 days.Based upon univariate Logistic analysis, delayed graft function(DGF)and HLA-A24 of recipient were risk factors for high-level BKV infection in urine while HLA-DQ9 of donor acted as a protective factor.Through multivariate Logistic analysis, DGF( OR=2.18, 95% CI 1.18~4.01, P=0.012)and HLA-A24( OR=1.63, 95% CI 1.06~2.53, P=0.027)of recipient were independent risk factors for high-level BKV infection in urine.And HLA-DQ9 of donors( OR=0.58, 95% CI 0.36~0.91, P=0.019)was an independent protective factor. Conclusions:High level of BKV viruria after RT is associated with donor/recipient-specific HLA sites.Early risk factor stratification and protective factors of recipients can aid in tailoring postoperative immunosuppression and screening program and developing T cell-associated vaccines.

Objective To evaluate the efficacy and safety of basiliximab (BAS) and antithymocyte globulin (ATG) in immune induction therapy in kidney transplantation by systematic review and Meta-analysis. Methods Prospective randomized controlled clinical trials screening and comparing BAS and ATG in immune induction therapy in kidney transplantation were systematically searched from global databases, screened and compared. The quality of clinical trials was evaluated by Jadad scoring system and data extraction was performed. The effects of BAS and ATG on the incidence of acute rejection, survival rate of kidney allografts, survival rate of recipients, incidence of delayed graft function, infection, cytomegalovirus infection, malignant tumor, leukopenia and thrombocytopenia at 1 year after kidney transplantation were analyzed. Results A total of 10 clinical trials in English consisting of 1 721 kidney transplant recipients were searched, including 883 cases in the ATG group and 838 cases in the BAS group. No significant differences were observed in the incidence of acute rejection, survival rate of kidney allografts, survival rate of recipients, incidence of delayed graft function, infection, cytomegalovirus infection and thrombocytopenia at postoperative 1 year between the ATG and BAS groups (all P > 0.05). The incidence of malignant tumor and leukopenia at postoperative 1 year in the ATG group were significantly higher than those in the BAS group (both P < 0.05). Conclusions The use of ATG and BAS for immune induction therapy in kidney transplantation yield equivalent efficacy at postoperative 1 year, but BAS is safer than ATG. Clinical trials related to stratified analyses of immune risk are urgently required to achieve individualized precision treatment.

BACKGROUND: Delayed graft function (DGF) is the main cause of renal function failure after kidney transplantation. This study aims at investigating the value of hypothermic machine perfusion (HMP) parameters combined with perfusate biomarkers on predicting DGF and the time of renal function recovery after deceased donor (DD) kidney transplantation. METHODS: HMP parameters, perfusate biomarkers and baseline characteristics of 113 DD kidney transplantations from January 1, 2019 to August 31, 2019 in the First Affiliated Hospital of Xi'an Jiaotong University were retrospectively analyzed using univariate and multivariate logistic regression analysis. RESULTS: In this study, the DGF incidence was 17.7% (20/113); The multivariate logistic regression results showed that terminal resistance (OR: 1.879, 95% CI 1.145-3.56) and glutathione S-transferase (GST)(OR = 1.62, 95% CI 1.23-2.46) were risk factors for DGF; The Cox model analysis indicated that terminal resistance was an independent hazard factor for renal function recovery time (HR = 0.823, 95% CI 0.735-0.981). The model combining terminal resistance and GST (AUC = 0.888, 95% CI: 0.842-0.933) significantly improved the DGF predictability compared with the use of terminal resistance (AUC = 0.756, 95% CI 0.693-0.818) or GST alone (AUC = 0.729, 95% CI 0.591-0.806). CONCLUSION According to the factors analyzed in this study, the combination of HMP parameters and perfusate biomarkers displays a potent DGF predictive value.
Biomarkers ; Delayed Graft Function ; Graft Survival ; Humans ; Kidney/physiology* ; Kidney Transplantation/adverse effects* ; Organ Preservation ; Perfusion ; Retrospective Studies ; Tissue Donors