Mycophenolic acid (MPA), the active moiety of both mycophenolate mofetil (MMF) and enteric-coated mycophenolate sodium (EC-MPS), serves as a primary immunosuppressant for maintaining solid organ transplants. Therapeutic drug monitoring (TDM) enhances treatment outcomes through tailored approaches. This study aimed to develop an evidence-based guideline for MPA TDM, facilitating its rational application in clinical settings. The guideline plan was drawn from the Institute of Medicine and World Health Organization (WHO) guidelines. Using the Delphi method, clinical questions and outcome indicators were generated. Systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence quality evaluations, expert opinions, and patient values guided evidence-based suggestions for the guideline. External reviews further refined the recommendations. The guideline for the TDM of MPA (IPGRP-2020CN099) consists of four sections and 16 recommendations encompassing target populations, monitoring strategies, dosage regimens, and influencing factors. High-risk populations, timing of TDM, area under the curve (AUC) versus trough concentration (C₀), target concentration ranges, monitoring frequency, and analytical methods are addressed. Formulation-specific recommendations, initial dosage regimens, populations with unique considerations, pharmacokinetic-informed dosing, body weight factors, pharmacogenetics, and drug‍-‍drug interactions are covered. The evidence-based guideline offers a comprehensive recommendation for solid organ transplant recipients undergoing MPA therapy, promoting standardization of MPA TDM, and enhancing treatment efficacy and safety.
Mycophenolic Acid/administration & dosage* ; Drug Monitoring/methods* ; Humans ; Organ Transplantation ; Immunosuppressive Agents/administration & dosage* ; Delphi Technique

Objective:To investigate the clinical value of changes in serum total cholesterol (TC), chitinase protein-40 (YKL-40), and B7 homolog 4 (B7-H4) levels in patients with severe acute pancreatitis (SAP) complicated with abdominal compartment syndrome (ACS).Methods:A total of 388 SAP patients admitted to the First Affiliated Hospital of Xi'an Medical College from January 2022 to May 2024 were selected as the study group. They were grouped into the ACS group (227 cases) and a non-ACS group (161 cases) based on whether they had concurrent ACS. Another 215 individuals who underwent health check up were selected as the control group. Enzyme linked immunosorbent assay (ELISA) was applied to detect serum levels of TC, YKL-40, and B7-H4. Spearman test was applied to analyze the correlation between serum TC, YKL-40, B7-H4 levels and Acute Physiology and Chronic Health Status Scoring System Ⅱ(APACHE Ⅱ) score and intra-abdominal pressure (IAP)value. Multivariate Logistic regression was applied to analyze the influencing factors of SAP patients complicated ACS. The receiver operating characteristic (ROC) curve was applied to analyze the clinical diagnostic value of serum TC, YKL-40, B7-H4 levels in SAP patientscomplicated with ACS.Results:The serum levels of TC, YKL-40, and B7-H4 in the study group were higher than those in the control group : (5.79 ± 0.81) mmol/L vs. (4.67 ± 0.57) mmol/L, (49.46 ± 7.51) μg/L vs. (36.82 ± 5.93) μg/L, (63.66 ± 11.23) μg/L vs. (52.85 ± 9.21) μg/L, there were statistical differences ( P<0.05). The results of single factor analysis showed that time of stay in intensive care unit (ICU), C-reactive protein (CRP), white blood cell count (WBC), blood amylase (AMY), APACHEⅡ score, IAP value, serum TC, YKL-40, B7-H4 levels and heart rate were the risk factors for ACS in SAP patients ( P<0.05). The results of correlation analysis showed that the levels of serum TC, YKL-40 and B7-H4 were positively correlated with APACHEⅡ score and IAP value (the r value were 0.459, 0.511, 0.445 and 0.742, 0.794, 0.761, P<0.05). Multivariate Logistic regression analysis showed that time of stay in ICU, APACHE Ⅱ score, IAP value and high levels of serum TC, YKL-40 and B7-H4 were independent risk factors for ACS in SAP patients ( P<0.05). ROC curve analysis results showed that the area under the curve(IUC) of serum TC, YKL-40 and B7-H4 predicted SAP patients with ACS was 0.868. Conclusions:The levels of serum TC, YKL-40, and B7-H4 are higher in patients with SAP complicated with ACS, and their combined detection has better clinical value for SAP complicated with ACS patients.

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 clinical value of changes in serum total cholesterol (TC), chitinase protein-40 (YKL-40), and B7 homolog 4 (B7-H4) levels in patients with severe acute pancreatitis (SAP) complicated with abdominal compartment syndrome (ACS).Methods:A total of 388 SAP patients admitted to the First Affiliated Hospital of Xi'an Medical College from January 2022 to May 2024 were selected as the study group. They were grouped into the ACS group (227 cases) and a non-ACS group (161 cases) based on whether they had concurrent ACS. Another 215 individuals who underwent health check up were selected as the control group. Enzyme linked immunosorbent assay (ELISA) was applied to detect serum levels of TC, YKL-40, and B7-H4. Spearman test was applied to analyze the correlation between serum TC, YKL-40, B7-H4 levels and Acute Physiology and Chronic Health Status Scoring System Ⅱ(APACHE Ⅱ) score and intra-abdominal pressure (IAP)value. Multivariate Logistic regression was applied to analyze the influencing factors of SAP patients complicated ACS. The receiver operating characteristic (ROC) curve was applied to analyze the clinical diagnostic value of serum TC, YKL-40, B7-H4 levels in SAP patientscomplicated with ACS.Results:The serum levels of TC, YKL-40, and B7-H4 in the study group were higher than those in the control group : (5.79 ± 0.81) mmol/L vs. (4.67 ± 0.57) mmol/L, (49.46 ± 7.51) μg/L vs. (36.82 ± 5.93) μg/L, (63.66 ± 11.23) μg/L vs. (52.85 ± 9.21) μg/L, there were statistical differences ( P<0.05). The results of single factor analysis showed that time of stay in intensive care unit (ICU), C-reactive protein (CRP), white blood cell count (WBC), blood amylase (AMY), APACHEⅡ score, IAP value, serum TC, YKL-40, B7-H4 levels and heart rate were the risk factors for ACS in SAP patients ( P<0.05). The results of correlation analysis showed that the levels of serum TC, YKL-40 and B7-H4 were positively correlated with APACHEⅡ score and IAP value (the r value were 0.459, 0.511, 0.445 and 0.742, 0.794, 0.761, P<0.05). Multivariate Logistic regression analysis showed that time of stay in ICU, APACHE Ⅱ score, IAP value and high levels of serum TC, YKL-40 and B7-H4 were independent risk factors for ACS in SAP patients ( P<0.05). ROC curve analysis results showed that the area under the curve(IUC) of serum TC, YKL-40 and B7-H4 predicted SAP patients with ACS was 0.868. Conclusions:The levels of serum TC, YKL-40, and B7-H4 are higher in patients with SAP complicated with ACS, and their combined detection has better clinical value for SAP complicated with ACS patients.

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.

miR-135 is a highly conserved miRNA in mammals and includes miR-135a and miR-135b.Recent studies have shown that miR-135b is a key regulatory factor in cardio-cerebrovascular diseases.It is involved in regulating the pathological process of myocardial infarction,myocardial ischemia/reperfusion injury,cardiac hypertrophy,atrial fibrillation,diabetic cardiomyopathy,atherosclerosis,pulmonary hyperten-sion,cerebral ischemia/reperfusion injury,Parkinson's disease,and Alzheimer's disease.Obviously,miR-135b is an emerging player in cardio-cerebrovascular diseases and is expected to be an important target for the treatment of cardio-cerebrovascular diseases.However,the crucial role of miR-135b in cardio-cerebrovascular diseases and its underlying mechanism of action has not been reviewed.Therefore,in this review,we aimed to comprehensively summarize the role of miR-135b and the signaling pathway mediated by miR-135b in cardio-cerebrovascular diseases.Drugs targeting miR-135b for the treatment of diseases and related patents,highlighting the importance of this target and its utility as a therapeutic target for cardio-cerebrovascular diseases,have been discussed.

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.

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.

Efficient mucosal delivery remains a major challenge for the reason of the respiratory tract mucus act as a formidable barrier to nanocarriers by trapping and clearing foreign particulates. The surface property of nanoparticles determines their retention and penetration ability within the respiratory tract mucus. However, the interaction between nanoparticles and mucus, and how these interactions impact distribution has not been extensively investigated. In this study, polymeric nanoparticles loaded with a baicalein-phospholipid complex were modified with two kinds of polymers, mucoadhesive and mucus-penetrative polymer. Systematic investigations on the physicochemical property, mucus penetration, transepithelial transport, and tissue distribution were performed to evaluate the interaction of nanoparticles with the respiratory tract. Both nanoparticles had a similar particle size and good biocompatibility, exhibited a sustained-release profile, but showed a considerable difference in zeta potential. Interestingly, mucus-penetrative nanoparticles exhibited a higher diffusion rate in mucus, deeper penetration across the mucus layer, enhanced cellular uptake, increased drug distribution in airways, and superior local distribution and bioavailability as compared to mucoadhesive nanoparticles. These results indicate the potential of mucus-penetrative nanoparticles in design of a rational delivery system to improve the efficiency of inhaled therapy by promoting mucus penetration and increasing local distribution and bioavailability.