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.

Cordycepin (Cpn), a natural active compound derived from the traditional Chinese medicine Cordyceps sinensis, has antifibrotic, antioxidant, and anti-inflammatory effects, but the impact of Cpn on pulmonary fibrosis and the downstream molecular mechanism remain unclear. In this study, A549 cells were induced by transforming growth factor β1 (TGFβ1) in vitro, the viability of A549 cells was evaluated by CCK-8 assay; and migration of A549 cells were detected by wound healing assay, invasion of A549 cells were detected by transwell assay. Molecular docking and molecular dynamics simulations were used to predict the interaction of histone deacetylase 7 (HDAC7) with vimentin and the association of Cpn with HDAC7. The pulmonary fibrosis model of mice was established by bleomycin in vivo to investigate the effect of Cpn on pathological changes of lung tissue. The impact of Cpn and molecular mechanism on pulmonary fibrosis were studied by Western blot assay, cell transfection assay, immunoprecipitation assay, immunofluorescence assay, immunohistochemistry and real-time quantitative PCR (RT-qPCR). All animal experiments were approved by the Shanghai Children's Medical Center Experimental Animal Ethics Committee (grant No. SCMC-LAWEC-2022-017). Results showed that Cpn had no toxic effect on A549 cells even at the concentration of 100 μmol·L^-1. Cpn inhibited migration and invasion of A549 cells and reduced deposition of collagen, the degree of lung inflammation and fibrosis in mice; in vivo and in vitro models, Cpn significantly reversed mRNA and protein expressions of epithelial-mesenchymal transition (EMT) and lung fibrosis markers collagen I, α-smooth muscle actin (α-SMA), N-cadherin, vimentin and E-cadherin and HDAC7. Deficiency of HDAC7 suppressed TGFβ1-induced EMT and expression of collagen I; vimentin interacted with HDAC7; and molecular docking experiment revealed that Cpn was interrelated with HDAC7. In conclusion, Cpn can target HDAC7 to mediate EMT and exert its anti-fibrotic effect, the inhibition of EMT and the improvement of pulmonary fibrosis provide a new idea and choice for the development of anti-pulmonary fibrosis drug.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To investigate the clinical characteristics of carbapenem-resistant Pseudomonas aeruginosa (CRPA) infection in children and the risk factors for such infection. Methods A retrospective analysis was conducted among 60 children with CRPA infection (CRPA group) who were hospitalized in Shenzhen Children's Hospital,China Medical University,from January 2018 to September 2023,and 82 children with carbapenem-sensitive Pseudomonas aeruginosa infection during the same period were randomly selected as the control group. A multivariate logistic regression analysis was used to investigate the risk factors for CRPA infection. Results Among the 60 children with CRPA infection,31 (52％) were admitted to the intensive care unit (ICU),and the lower respiratory tract was the main detection site in 32 children (53％). The univariate analysis showed that sex,history of invasive treatment within 1 year,antibiotic use before admission,presence of underlying condition,ICU admission,invasive procedure after admission,antibiotic use for>14 days,and the type of antibiotics used of ≥3 were associated with CRPA infection (P<0.05). The multivariate logistic regression analysis showed that the history of invasive treatment within 1 year (OR=3.228,P<0.05),antibiotic use before admission (OR=4.052,P<0.05),antibiotic use for>14 days (OR=4.961,P<0.05),and the type of antibiotics used of ≥3 (OR=3.687,P<0.05) were independent risk factors for CRPA infection in children. Conclusions CRPA infection in children may be associated with a history of invasive treatment within the past year,antibiotic use before admission,duration of antibiotic use after admission,and the diversity of antibiotic types used.

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 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.

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.

Objective To analyze the molecular markers of various nuclei in the human basal ganglia and the differentially expressed genes(DEGs)among different nuclei,gender,and Parkinson's disease(PD),followed by the biological function annotations of the DEGs.Methods Forty-five specimens of basal ganglia from 10 human postmortem brains were divided into control and PD groups,and the control group was further categorized into female and male groups.RNA from each sample was extracted for high-throughput transcriptome sequencing.Bioinformatic analysis was conducted to identify molecular markers of each nuclei in the control group,nuclei-specific,gender-specific,and PD-specific DEGs,followed by gene enrichment analysis and functional annotation.Results Sequencing analysis revealed top DEGs such as DRD1,FOXG1,and FAM183A in the caudate;SLC6A3,EN1,SLC18A2,and TH in the substantia nigra;MEPE and FGF10 in the globus pallidus;and SLC17A6,PMCH,and SHOX2 in the subthalamic nucleus.In them,putamen showed some overlapping DEGs with caudate,such as DRD1 and FOXG1.A significant number of DEGs were identified among different nuclei in the control group,with the highest number between caudate and globus pallidus(9321),followed by putamen and globus pallidus(6341),caudate and substantia nigra(6054),and substantia nigra and subthalamic nucleus(44).Gene enrichment analysis showed that downregulated DEGs between caudate and globus pallidus were significantly enriched in processes like myelination of neurons and cell migration.Upregulated DEGs between putamen and globus pallidus were enriched processes like chemical synaptic transmission and regulation of membrane potential,while downregulated DEGs were enriched in myelination and cell adhesion.Upregulated DEGs between caudate and substantia nigra were enriched in processes like chemical synaptic transmission and axonal conduction,while downregulated DEGs were enriched in myelination of neurons.Totally 468,548,1402,333,and 341 gender-specific upregulated DEGs and 756,988,2532,444,and 1372 downregulated DEGs were identified in caudate,putamen,substantia nigra,globus pallidus,and subthalamus nucleus.Gene enrichment analysis revealed upregulated DEGs mostly enriched in pathways related to immune response and downregulated DEGs in chemical synaptic transmission.At last,709,852,276,507,and 416 PD-specific upregulated DEGs and 830,2014,1218,836,and 1730 downregulated DEGs were identified in caudate,putamen,substantia nigra,globus pallidus,and subthalamus nucleus.Gene enrichment analysis revealed upregulated DEGs mostly enriched in apoptotic regulation and downregulated DEGs in chemical synaptic transmission and action potential regulation.Conclusion We identified and analysed the molecular markers of different human basal ganglia nuclei,as well as DEGs among different nuclei,different gender,and between control and PD.

The study aims to investigate and compare the effects of probiotics and docosahexaenoic acid (DHA) with the Alzheimer's disease (AD) therapeutic drug donepezil on the learning cognition and brain damage related indexes in AD mice, and to provide experimental basis for its treatment of AD. All animal experiments were approved by the Ethics Committee of the Henan University of Chinese Medicine (ethics number DWLL2018080003). Fifty male C57BL/6J mice were randomly assigned to one of five groups: sham-operated, model, donepezil (10 mg·kg^-1), probiotic (2.7×10⁹ CFU·d^-1), and DHA (0.104 g·kg^-1). Except for the sham-operated group, the AD animal model was established by injecting Aβ_25-35 (200 μmol·L^-1) in the lateral ventricle, followed by gavage administration for 4 weeks. In all mouse groups, learning memory ability, neuronal morphology in the hippocampus, apoptosis of primary hippocampal cells, and immune cell levels were detected. The levels of Aβ_1-42, Aβ_1-40, p-Tau, AchE, Ach, oxidative stress, glial cell activation, and the inflammatory factors IL-1β, IL-10, and TNF-α in the brain tissue of mice were also detected. 16S rDNA sequencing was used to further investigate the effects of donepezil and probiotics on AD. Donepezil, probiotics and DHA improved cognitive deficits and enhanced learning memory in Aβ_25-35-induced mice by increasing locomotion time, locomotion distance, autonomic alternation rate, and shortening the time to reach the plateau; it significantly attenuated Aβ_25-35-induced brain injury and neuroinflammation in mice by decreasing Aβ_1-42, Aβ_1-40, p-Tau, AchE, IL-1β, TNF-α, and MDA and increasing the levels of Ach, IL-10, GSH-Px, and T-SOD in brain tissues, as well as decreasing the activation of glial cells, and had a modulatory effect on immune cells. 16S rDNA sequencing shows that both donepezil and probiotics restore flora homeostasis and that differential bacteria are strongly associated with cognition, AD pathology, and neuroinflammation. Combining all indicators, donepezil and probiotics were more effective than DHA. All in all, donepezil, probiotics and DHA ameliorate Aβ_25-35-induced cognitive dysfunction and brain damage in mice by modulating immune cells, reducing the number of apoptotic cells and glial cell activation in the brain, and decreasing the levels of oxidative stress and inflammatory factor expression, among which the effects of donepezil and probiotics were better than those of DHA, and the therapeutic effects of donepezil and probiotics on AD were closely related to the modulation of gut microbiome.