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.

To further standardize the diagnosis and treatment of hypertension after kidney transplantation in China,Branch of Organ Transplantation of Chinese Medical Association organized experts in kidney transplantation and cardiovascular diseases to formulate"Guidelines for Clinical Diagnosis and Treatment of Hypertension in Kidney Transplant Recipients in China"based on"Diagnosis and Treatment Specification for Hypertension after Solid Organ Transplantation in China(2019 edition)"in combination with clinical status of hypertension after organ transplantation in China,and referring to the latest guidelines for diagnosis and treatment of hypertension at home and abroad.This guideline was formulated to provide theoretical reference for medical practitioners in the field of kidney transplantation in China,aiming to better control adult hypertension after kidney transplantation,mitigate adverse outcomes and improve the quality of life.

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.

Nocardiosis is a collective term for tissue and organ damage caused by Nocardia infection.Solid organ transplant recipients(SOTR)are at an increased risk of various pathogen infections,including Nocardia infection,due to immunosuppressive therapy which weakens their immune function.The diagnosis of nocardiosis has been challenging in the past.With the advent of molecular biology and other diagnostic methods,the diagnostic rate has significantly improved.Nocardia not only prone to cause necrotic pulmonary lesions but also invade other organs and tissues,such as intracranial infections and skin soft tissue infections,and can develop into systemic disseminated infections.For SOTR,nocardiosis is a potentially fatal disease with a fatality as high as 30%.Therefore,this article reviews the clinical characteristics of common nocardiosis in SOTR,new diagnostic technologies,and different anti-infective treatment strategies,aiming to provide a reference for the prevention and treatment of nocardiosis in clinical SOTR.

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.

Human parainfluenza virus（HPIV）is one of the important causes of respiratory infections in children，and it can occur year-round.There are four serotypes of HPIV，each with both similarities and certain differences.HPIV is associated with various diseases，but currently there are no effective therapeutic drugs or targeted vaccines on the market，mainly focusing on symptomatic supportive treatment.This review summarized the epidemiology，risk factors，pathogenic mechanisms，clinical characteristics，laboratory diagnosis，treatment，and prevention of HPIV，providing a basis for the early diagnosis，treatment，and prevention of HPIV.

On December 22,2021,the United States Food and Drug Administration approved the first main protease inhibitor,i.e.,oral antiviral nirmatrelvir(PF-07321332)/ritonavir(Paxlovid),for the treatment of early severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection.Nirmatrelvir inhibits SARS-CoV-2 infection,but high doses or long-term treatment may cause embryonic developmental toxicity and changes in host gene expression.The chiral structure of nirmatrelvir plays a key role in its antiviral activity.Ritonavir boosts the efficacy of nirmatrelvir by inactivating cytochrome P450 3A4 expression and occupying the plasma protein binding sites.Multidrug resistance protein 1 inhibitors may increase the efficacy of nirmatrelvir.However,Paxlovid has many contraindications.Some patients treated with Paxlovid experience a second round of coronavirus disease 2019(COVID-19)symptoms soon after re-covery.Interestingly,the antiviral activity of nirmatrelvir metabolites,such as compounds 12-18,is similar to or higher than that of nirmatrelvir.Herein,we review the advances and challenges in using nirmatrelvir and its derivatives with the aim of providing knowledge for drug developers and physicians in the fight against COVID-19.

Objective:To explore the clinical efficacy of ceftazidime/avibactam(CZA)plus aztreonam(ATM)for New Delhi metallo-β-lactamase(NDM)carbapenem-resistant Klebsiella pneumoniae(CRKP)infection after kidney transplantation.Methods:Clinical data are retrospectively reviewed for 11 RT recipients infected with NDM metallo-β-lactamase CRKP admitted into First Affiliated Hospital of Xi 'an Jiaotong University and Affiliated Renji Hospital of Shanghai Jiao Tong University from November 2018 to December 2019.Based upon treatment protocol, they are divided into two groups of ceftazidime/avibactam plus aztreonam(CZA-ATM, 5 cases)and other effective antibiotics(OAA, 6 cases).Age, gender, infection type, drug resistance gene, changes in body temperature and leucocyte count, treatment course and prognosis are summarized.Results:A total of 11 patients with NDM-producing CRKP infection after RT are recruited.There are seven males and four females with an age range of(19~66)(38.9±14.4)years.There are mixed pulmonary and urinary tract infections(3 cases), urinary tract infection(2 cases), pulmonary infection(1 case)and perirenal infection(5 cases).All isolates harbore NDM carbapenemase gene, 5 isolates carry Klebsiella pneumoniae carbapenemase(KPC)gene and 1 isolate contained both imipenemase metallo-β-lactamase(IMP)and verona integron-encoded metallo-β-lactamase(VIM)gene concurrently.Ceftazidime-avibactam plus aztreonam(CZA-ATM)is prescribed in five patients while the remainders receive OAA.No adverse reactions occurred in individuals on CZA-ATM and 2 cases on OAA have adverse reactions with a poor appetite and diarrhea.After 30-day infection, the curative cases of CZA-ATM and OAAs groups reach 4 and 5 respectively.No death occurred in neither groups at Day 30.And 90-day mortality is 0 and 1 respectively.Conclusions:For RT patients infected with NDM-producing CRKP, CZA-ATM combination therapy may be another effective treatment.

Kidney Transplantation/adverse effects* ; Magnetics ; Anastomosis, Surgical ; Magnetic Phenomena

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.