Objective To identify and analyze risk factors for acute renal failure (ARF) following lung transplantation and to develop a predictive model. Methods Data for this study were obtained from the United Network for Organ Sharing (UNOS) database, encompassing patients who underwent unilateral or bilateral lung transplantation between 2015 and 2022. We analyzed both preoperative and postoperative clinical characteristics of the patients. A combined approach utilizing random forest and least absolute shrinkage and selection operator (LASSO) regression was employed to identify key factors associated with the incidence of ARF post-transplantation, based on which a nomogram model was developed. The predictive performance of the constructed model was evaluated in both training and validation sets, using receiver operating characteristic (ROC) curves and area under the curve (AUC) metrics to verify and compare model effectiveness. Results A total of 15 110 lung transplantation patients were included in the study, consisting of6 041 males and 9 069 females, with a median age of 62.00 years (interquartile range: 54.00 to 67.00). The analysis revealed statistically significant differences between postoperative renal dialysis and non-dialysis patients regarding preoperative lung diagnosis, estimated glomerular filtration rate (eGFR), mechanical ventilation, preoperative ICU treatment, extracorporeal membrane oxygenation (ECMO) support, infections occurring within two weeks prior to transplantation, Karnofsky Performance Status (KPS) score, waitlist duration, double-lung transplantation, and ischemia time (P<0.05). Five key variables associated with ARF after lung transplantation were identified through random forest and LASSO regression: recipients’ eGFR, preoperative ICU treatment, ECMO support, bilateral lung transplantation, and ischemia time. A nomogram model was subsequently established. Model evaluation demonstrated that the constructed predictive model achieved high accuracy in both training and validation sets, with favorable AUC values, confirming its validity and reliability. Conclusion This study identifies common risk factors for ARF following lung transplantation and introduces an effective predictive model with potential clinical applications.

ObjectiveThe proteome of biological evidence contains rich genetic information, namely single amino acid polymorphisms (SAPs) in protein sequences. However, due to the lack of efficient and convenient analysis tools, the application of SAP in public security still faces many challenges. This paper aims to meet the application requirements of SAP analysis for forensic biological evidence’s proteome data. MethodsThe software is divided into three modules. First, based on a built-in database of common non-synonymous single nucleotide polymorphisms (nsSNPs) and SAPs in East Asian populations, the software integrates and annotates newly identified exonic nsSNPs as SAPs, thereby constructing a customized SAP protein sequence database. It then utilizes a pre-installed search engine—either pFind or MaxQuant—to perform analysis and output SAP typing results, identifying both reference and variant types, along with their corresponding imputed nsSNPs. Finally, SAPTyper compares the proteome-based typing results with the individual’s exome-derived nsSNP profile and outputs the comparison report. ResultsSAPTyper accepts proteomic DDA mass spectrometry raw data (DDA acquisition mode) and exome sequencing results of nsSNPs as input and outputs the report of SAPs result. The pFind and Maxquant search engines were used to test the proteome data of 2 hair shafts of2 individuals, and both obtained SAP results. It was found that the results of the Maxquant search engine were slightly less than those of pFind. This result shows that SAPTyper can achieve SAP fingding function. Moreover, the pFind search engine was used to test the proteome data of 3 hair shafts from 1 European person and 1 African person in the literature. Among the sites fully matched by the literature method, sites detected by SAPTyper are also included; for semi-matching sites, that is, nsSNPs are heterozygous, both literature method and SAPTyper method had the risk of missing detection for one type of the allele. Comparing the analysis results of SAPTyper with the SAP test results reported in the literature, it was found that some imputed nsSNP sites identified by the literature method but not detected by SAPTyper had a MAF of less than 0.1% in East Asian populations, and therefore they were not included in the common nsSNP database of East Asian populations constructed by this software. Since the database construction of this software is based on the genetic variation information of East Asian populations, it is currently unable to effectively identify representative unique common variation sites in European or African populations, but it can still identify SAP sites shared by these populations and East Asian populations. ConclusionAn automated SAP analysis algorithm was developed for East Asian populations, and the software named SAPTyper was developed. This software provides a convenient and efficient analysis tool for the research and application of forensic proteomic SAP and has important application prospects in individual identification and phenotypic inference based on SAP.

Aim To design and synthesize a series of phenylacetamide derivatives with different substituted phenylacetic acid as raw materials,and to investigate the protective effects of the compound on the damage of pancreatic β cells induced by palmitate acid(PA).Methods Min6 cells were cultured and divided into B blank control group,PA treatment group and PA+compounds group.The viability of Min6 cells was de-tected by CCK-8.The protein expressions of TXNIP and NLRP3 were observed by Western blot.MDA con-tent and SOD activity were detected by MDA and SOD kit.The insulin secretion of Min6 islet cells was meas-ured with insulin ELISA kit.Results A total of 10 phenylacetamide derivatives were designed and synthe-sized.Their structures were confirmed by 1H NMR and ESI-MS.Pharmacological activity study showed that most of the compounds had protective effects on islet βcells,among which LY-6 and LY-8 had stronger pro-tective effects than PA model group,with the cell via-bility of 61.4％,and LY-6 had the highest cell activi-ty,reaching to 104.9％.Compared with PA group,the protein expression of TXNIP and NLRP3 decreased in LY-6 and LY-8 groups,MDA content decreased and SOD activity increased,and insulin secretion of Min6 cell increased.Conclusions LY-6 and LY-8 inhibit TXNIP expression and decrease the activation of NL-RP3 inflammasome,and decrease the production of MDA and increase SOD activity,and thus reducing is-let β cells apoptosis and increasing insulin secretion.Therefore,the compound LY-6 could serve as a poten-tial anti-diabetic new chemical entity.

With the advancement of medical diagnostic technology and the continuous increase of the elderly population in China,chronic internal carotid artery occlusion(CICAO)is becoming increasingly common in clinical practice.Symptomatic CICAO patients with severe hemodynamic disorders have a high risk of recurrent ischemic stroke.Cognitive impairment related to chronic ischemia in CICAO is also receiving increasing attention.However,there is currently a lack of unified evaluation and treatment plans for CICAO patients in clinical practice.This expert consensus summarized the latest clinical trials and research related to CICAO,and combined the clinical practice experience of domestic experts in related fields to provide targeted opinions on the evaluation,treatment and perioperative management of CICAO patients,in order to further standardize the clinical diagnosis and treatment process of the patients with CICAO in China.

Cases of human infection with H7 subtype avian influenza virus(AIV)combined with five NA subtypes(N2,N3,N4,N7,and N9)have been reported.This study was aimed at establishing a method for simultaneous detection and dif-ferential diagnosis of H7 and five NA subtypes of AIV.Seven pairs of specific primers were designed according to the conserved sequences of the HA gene of H7 subtype AIV,the NA gene of five NA AIV subtypes,and the M gene of all AIV subtypes.A high-throughput GeXP typing method was established for simultaneous detection of the H7 subtype and the five NA subtypes of AIV by using GeXP multiple gene expression and capillary electrophoresis analysis technology.The specificity and sensitivity of the method were determined,and clinical samples were tested.The specificity results indicated that this method was able to simultaneously detect seven target genes in a single tube;each pair of specific primers was able to detect the corresponding AIV subtype,and the universal detection primers were able to detect all subtypes of AIV,with no cross-reaction with other common avian disease pathogens.Sensitivity results demonstrated that this method was able to simultaneously detect seven target genes with a threshold detection limit was 100 copies/μL.The detection results for 150 clinical samples were consistent with those of viral isolation and identification.The high-throughput GeXP method for simultaneous differential diagnosis of the H7 subtype and five subtypes of AIV established in this study has advantages of high specificity,high sensitivity,rapidity,and simplicity,thus providing a new detection method for the effective prevention and control of AIV.

Objective:To explore the expression of microRNA-3162-3p in different clinical stages of childhood primary immune thrombocytopenia(ITP)and its significance.Methods:Ninety-six children with ITP were enrolled and divided into new diagnosis group(n=40),persistent group(n=30)and chronic group(n=26)according to the course of disease.80 healthy children were selected as the control group.Peripheral blood mononuclear cells(PBMNC)of ITP children and healthy children were isolated and cultured,and the expression of microRNA-3162-3p in PBMNC of subjects was detected by real-time fluorescence quantitative PCR.The contents of IL-17,IL-23,IL-10 and TGF-β in PBMNC of subjects were determined by ELISA.The correlation between microRNA-3162-3p and platelet count,IL-17,IL-23,IL-10 and TGF-β was analyzed.Results:Compared with the control group,the expression of microRNA-3162-3p and IL-10 in PBMNC and platelet count of ITP children were significantly decreased(P＜0.05),while IL-17,IL-23 and TGF-β were significantly increased(P＜0.05).With the prolongation of the disease course,the expressions of microRNA-3162-3p and IL-10 in PBMNC and platelet count were significantly decreased(P＜0.05),while the expressions of IL-17,IL-23 and TGF-β were significantly increased(P＜0.05).The expression of microRNA-3162-3p in PBMNC was positively correlated with platelet count and IL-10(r=0.716,0.667),and negatively correlated with IL-17,IL-23,and TGF-β(r=-0.540,-0.641,-0.560).Conclusion:MicroRNA-3162-3p expression is significantly reduced in PBMNC of children with ITP,and is involved in the regulation of Th17/Treg imbalance,which can be used as a potential therapeutic target of ITP.

Objective:To investigate the incidence of PTPN11 gene mutation and its associated gene mutations in adult patients with acute myeloid leukemia(AML),and analyze its clinical characteristics.Methods:Second-generation sequencing and Sanger sequencing were used to detect 51 gene mutations,and multiplex-PCR was used to detect 41 fusion genes from 451 newly diagnosed adult AML patients admitted to Affiliated Hospital of Jiangnan University,Changzhou Second People's Hospital,Wuxi People's Hospital and Wuxi Second People's Hospital from January 2017 to July 2022.Results:Among 451 primary adult AML patients,the PTPN11 gene mutation was detected in 34 cases,and the mutation rate was 7.5％.In the 34 patients,37 PTPN11 alterations were found,which were exclusively missense mutations affecting residues located within the N-SH2(31 cases)and PTP(6 cases)domains and clustered overwhelmingly in exon 3.The platelet count of PTPN11 mutation patients was 76.5(23.5,119.0)× 109/L,which was significantly higher than 41.0(22.0,82.5)×109/L of wild-type patients(P＜0.05).While,there were no significant differences in sex,age,peripheral white blood cell count,hemoglobin,and bone marrow blast between PTPN11 mutation and wild-type patients(P＞0.05).In FAB subtypes,PTPN11 mutations were mainly distributed in M5,followed by M2 and M4,less frequently in M3 and M6.There was no significant difference in the distribution of FAB subtypes between PTPN11 mutation and wild-type patients(P＞0.05).A total of 118 AML patients were detected positive fusion gene,among which patients with PTPN11 mutations had a higher incidence of positive MLL-AF6 than wild-type ones(P＜0.01).97.1％of 34 patients with PTPN11 mutations were accompanied by other mutations,in descending order,they were respectively NPM1(38.2％),NRAS(32.4％),FLT3-ITD(32.4％),DNMT3A(32.4％)and KRAS(23.5％),etc.Conclusion:PTPN11 mutation has a certain incidence in AML patients and is clustered overwhelmingly in exon 3.ALL of them are exclusively missense mutations,and most often present in conjunction with NPM1 mutations.FAB typing of PTPN11 mutation is mostly manifested as M5 subtype,which is associated with higher platelet counts.

Objective:To establish a model to predict the overall survival(OS)rate of patients with diffuse large B-cell lymphoma(DLBCL)based on systemic inflammatory indicators,and study whether the new model combined with inflammatory related parameters is more effective than the conventional model using only clinical factors to predict the OS of patients with DLBCL.Methods:The clinical data of 213 patients with DLBCL were analyzed retrospectively.Backward stepwise Cox regression analysis was used to screen independent prognostic factors related to OS,and a nomogram for predicting OS was constructed based on these factors.Akaike information criterion(AIC)and Bayesian information criterion(BIC)were used to evaluate the fitting of the model,the consistency index(C-index),area under receiver operating characteristic(ROC)curve(AUC)and calibration curve were used to evaluate the prediction accuracy of nomogram,and decision curve analysis(DCA)and Kaplan Meier curve were used to evaluate the clinical practicability of nomogram.Results:Multivariate analysis confirmed that age,ECOG PS score,serum lactate dehydrogenase(LDH)level,systemic immune inflammatory index(SII),and prognostic nutritional index(PNI)were used to construct the nomogram.The AIC and BIC of the nomogram were lower than the International Prognostic Index(IPI)and the National Comprehensive Cancer Network(NCCN)-IPI,indicating that the nomogram had better goodness of fit.The C-index and AUC of the nomogram were higher than IPI and NCCN-IPI,indicating that the prediction accuracy of the nomogram had been significantly improved,and the calibration curve showed that the prediction results were in good agreement with the actual survival results.DCA showed that the nomogram had better clinical net income.Kaplan Meier curve showed that patients could be well divided into low-risk,medium-risk and high-risk groups according to the nomogram score(P＜0.001).Conclusion:The nomogram combined with inflammatory indicators can accurately predict the individual survival probability of DLBCL patients.

Objective:To investigate the correlation of the clinical characteristics,fever characteristics,serum biomarkers with cytokine release syndrome (CRS) in patients with relapsed/refractory multiple myeloma (R/R MM) treated with chimeric antigen receptor T cell (CAR-T) immunotherapy. Methods:104 R/R MM patients who received CAR-T cell therapy at the Affiliated Hospital of Xuzhou Medical University from June 2017 to November 2021 were included,and the correlations of their clinical characteristics,fever characteristics,serum biomarkers with the severity of CRS were analyzed. Results:Among 104 R/R MM patients receiving CAR-T treatment,no CRS was observed in 8 cases (7.7％),and 96 cases (92.3％) developed CRS. Patients with high-risk cytogenetics had a higher risk of developing CRS (P=0.040),while patients who had previously received autologous hematopoietic stem cell transplantation (ASCT) had a lower risk of developing CRS (P=0.004). There was a significant difference in the duration of fever between patients with grade 1-2 and grade 3-5 CRS (P=0.006). The highest body temperature varied among patients with different treatment regimens (P=0.001). The decrease in total protein in patients with CRS was more significant than in patients without CRS (P=0.002). Within one month after CAR-T cell infusion,the degree of albumin recovery in patients with grade 3-5 CRS was lower than that in patients with grade 0-2 CRS (P=0.037). Compared to patients with grade 1-2 CRS,patients with grade 3-5 CRS showed a significant increase in heart rate after CAR-T cell infusion (P=0.013),while IL-6,C-reactive protein (CRP),and serum ferritin (SF) also showed significant increases (P=0.007,P<0.001,P=0.003). Conclusion:High-risk cytogenetics is a risk factor for severe CRS. Long duration of fever is a clinical characteristic of severe CRS. CRP can better reflect the severity of CRS.

Objective:To compare the clinical efficacy of laparoscopic right colon cancer radical resection(CME+D3,60 cases) based on membrane anatomy and traditional laparoscopic right colon cancer radical resection(CME/D3, 120 cases).Methods:A retrospective cohort study was used to collect the consecutively admitted cases undergoing laparoscopic radical right colon cancer resection at the Department of Colorectal Surgery, Shanxi Hospital from Jan 2018 to Jun 2020.The postoperative data , postoperative complications, follow-up outcomes were compared between the two groups.Results:Compared with the CME/D3 group, that the based on membrane anatomy(CME+D3) group had a decreased intraoperative blood loss [(79.3±16.7) ml vs. (103.6±20.8) ml, t=-3.894, P<0.001],and more lymph node harvest [(27.0±5.1) vs. (25.1±6.2), t=2.138, P=0.034]; The sectional grading of surgical specimens was also better than that in the traditional operation group(χ 2=4.146, P=0.042); while the operation time was slightly longer than that of the traditional operation group [(161.1±18.4) minutes vs.(142.6±19.5) minutes, t=-6.166, P<0.001]. There was no significant difference in the length of specimen resection, postoperative exhaust time, hospital stay, incidence of postoperative complications, proportion of unplanned reoperation within 30 days, re-admission within 30 days, and mortality within 30 days ( all P>0.05). The median follow-up time was 36.7 (5.3-48.7) months, and there was no significant difference in overall survival rates between the two groups ( P>0.05); The difference in disease-free survival rates between the two groups is significant(χ 2=4.246, P=0.039). Conclusions:Compared with the traditional laparoscopic right colon cancer radical surgery (CME/D3),laparoscopic radical resection of right colon cancer (CME+D3) based on membrane anatomy reduces intraoperative bleeding, improves the number of lymph node dissection and specimen quality, and has higher 1-year and 3-year disease-free survival rate .