As a pivotal strategy to alleviate the shortage of organ donors, xenotransplantation has achieved remarkable advances in both pre-clinical and clinical studies in recent years, driven by continuous optimization of gene modification techniques and immunosuppressive regimens. Nevertheless, clinical translation still confronts formidable challenges, including rejection and heightened infection risks, which severely compromise long-term graft survival. Consequently, the role of immunosuppressive regimens in xenotransplantation has become increasingly prominent. This article summarizes the mechanisms underlying xenogeneic immune rejection, the latest developments in immunosuppressive regimens, cutting-edge strategies for inducing immune tolerance and the major hurdles facing clinical xenotransplantation. It delves into potential optimization strategies and directions for future clinical research, aiming to offer theoretical insights and practical guidance for the safe and effective application of clinical xenotransplantation.

This paper systematically reviewed the concept of authentication studies on traditional Chinese medicine （TCM） classics and the research achievements of scholars across historical and contemporary periods. We categorized the authentication studies on TCM classics into four types， including work-oriented authentication research， metho-dological studies on authentication， extended authentication research， and single-book authentication. Multiple methods were applied comprehensively， including investigating bibliographic documents of successive dynasties， analyzing the academic contents of medical books， studying the textual characteristics of medical books， examining the cited references in medical books， verifying the biographies of authors， and analyzing the interpolations and accretions in medical books， to distinguish the authenticity of TCM classics. The academic value of authenticity identification of TCM classics is concluded in three aspects，i.e. it serves as an important means to distinguish authenticity from falsehood in TCM classics， an important guarantee for inheriting the essence of TCM literature， and a key to unlocking the academic treasure trove of TCM classics and achieving inheritance-based innovation， which will lay a solid documentary foundation for constructing identification methodologies and standardized systems.

Kidney transplantation is an effective treatment for end-stage renal disease.However,post transplantation diabetes mellitus(PTDM)is a common complication after kidney transplantation,affecting 10%to 40%of recipients and increasing the risk of cardiovascular disease,infections,sepsis and other conditions.The pathogenesis of PTDM is complex,including pancreatic β-cell dysfunction and insulin resistance.Tacrolimus,a commonly used immunosuppressive drug,is an independent risk factor for PTDM.Its mechanisms include damaging pancreatic β-cells,mediating impaired mitochondrial autophagy,etc.In addition,tacrolimus also raises blood glucose levels through various pathways,such as affecting gut microbiota metabolism and activating bile acid signaling pathways.In recent years,some new anti-diabetic drugs have shown certain application prospects in kidney transplant recipients,but the evidence-based medical evidence for their combined use still needs further exploration.In the future,it is necessary to conduct in-depth research on the multiple sites of action of tacrolimus to reduce the occurrence of PTDM and improve the prognosis of kidney transplant recipients.

Talaromyces marneffei is a rare opportunistic pathogen.Talaromyces marneffei infection is characterized by insidious onset,atypical clinical manifestations,low early diagnosis rate,and high misdiagnosis and fatality,and has received widespread attention in recent years.Organ transplant recipients become a high-risk group for Talaromyces marneffei infection due to postoperative immunosuppressive therapy.Metagenomic next-generation sequencing,targeted antifungal therapy,and immunosuppression regimen adjustment are key to improving the prognosis of Talaromyces marneffei infection patients.This article reviews the epidemiology,pathogenesis,diagnosis and treatment of Talaromyces marneffei infection in organ transplant recipients,explores current challenges and future research directions,and aims to inform the diagnosis and treatment of Talaromyces marneffeiinfection.

Objective To explore a nomogram model based on clinical characteristics and immune indicators for predicting the efficacy of tyrosine kinase inhibitor(TKI)against chronic myeloid leukemia(CML).Methods Clinical data was retrospectively collected from 100 patients with CML treated with TKI between January 2021 and January 2023 in Tangshan Gongren Hospital.Patients were divided into the best response and warning/treatment failure groups according to therapeutic efficacy.Factors affecting therapeutic efficacy were analyzed using logistic regression analysis,and a nomogram model was constructed.Results The best response and warning/treatment failure groups showed significant differences in red blood cell distribution width(RDW),platelet count(PLT),ELTS score,Th 1/CD4+,Treg/CD4+ratio,white blood cell count,and absolute value of natural killer cells(P＜0.05).Logistic regression confirmed that the above indicators were influencing factors(P＜0.05),indicating that the model was meaningful,and had a high goodness of fit as well as high predictive value.Conclusion The nomogram model constructed based on RDW,PLT,and other factors can effectively predict the thera-peutic efficacy of AKI in treating CML.

This study summarizes the disease diagnosis and operation coding for tumor radiotherapy.The designated di-agnosis code is Z51.0,and the operation codes range from 92.2 to 92.4.By analyzing a typical case from a tertiary cancer hospi-tal,the practical application of these codes is elucidated.Furthermore,strategies to improve coding quality are proposed,aiming to improve the accuracy,completeness,and standardization of radiotherapy diagnosis and operation coding.These measures are expected to facilitate standardized and refined management of medical services with radiotherapy.

Deep learning(DL)technology has strong ability for acquiring and learning information,which has been widely used in the field of stomatology imaging,such as segmentation of oral and surrounding structures,diagnosis of tooth and dental pulp diseases,perioperative evaluation of implant surgery,localization of craniomaxillofacial markers,evaluation of temporomandibular joint diseases and maxillary sinus diseases,etc.,contributing to accurate and efficient individualized diagnosis and treatment of oral diseases.The research progresses of DL in oral cone beam CT were reviewed in this article.

Objective To observe the value of multi-sequence magnetic resonance imaging(MRI)radiomics in predicting the efficacy of concurrent chemoradiotherapy(CCRT)in locally advanced cervical squamous cell carcinoma(CSCC)patients.Methods Clinical data of 100 CSCC patients underwent CCRT treatment were selected.In order to better validate the performance of the model,patients were randomly divided into the training set(70 cases)and the validation set(30 cases)in a 7∶3 ratio.According to the efficacy criteria for solid tumors,patients were divided into the complete response(CR)group(n=16)and the partial response(PR)group(n=14).Examination images of cross-sectional DWI,T2WI and enhanced T1WI were collected from all patients before treatment.ITK-SNAP software package combined with three sequences were used to outline ROI,and the open source software PyRadiomics was used to extract image omics features.For MRI omics features,the minimum redundancy maximum correlation(mRMR)algorithm was used to analyze and screen out the first 30 main features,and then the minimum absolute contraction and selection method(Lasso)based on 10-fold cross-validation was used to reduce dimensionality to screen the non-zero coefficient features.According to the weighting coefficient of Lasso-Logistic regression model in the training set,patient omics labels were calculated.Logistic regression analysis was used to construct a prediction model based on DWI,T2WI and T1WI sequence prediction models and multiple sequenomics labels.Receiver operating characteristic(ROC)curves evaluated the predictive value of each omics model for CCRT treatment in patients with locally advanced CSCC.Results There were 38 cases in the CR group and 32 cases in the PR group in the training set.There were 16 cases in the CR group and 14 cases in the PR group in the validation set.There were no significant differences in patient age,FIGO stage,differentiation degree,maximum lesion diameter and menstrual status between the CR group and the PR group in the training and validation sets.A total of 851 imaging features were extracted from the ROI target area.After the first 30 features were retained by mRMR algorithm,3 CR-related features were selected from the 851 imaging omics features of each individual sequence by Lasso algorithm and 10-fold cross-validation.Eight CR related features were selected from 2 553 features after the combination of the three sequences.ROC curve results showed that in the training set and validation set,the AUC of multiple sequences combined to predict the therapeutic effect of CCRT in patients with locally advanced CSCC was 0.971 and 0.946,respectively,which was higher than that of T1WI,T2WI and DWI single sequence prediction(training set Z=2.683,2.046,2.817,P＜0.05;verification set Z=2.075,2.117,2.005,P＜0.05).Conclusion The multi sequence MRI radiomics model has high predictive value for the efficacy of CCRT treatment in locally advanced CSCC patients.

Objective Advances in synthetic DNA technology have made it much easier to fake human DNA samples.There are literature reports that fake human DNA can be synthesized by different methods and implanted in the field to confuse the investigation or mislead the trial.Therefore,distinguishing authentic human DNA from synthetic DNA and performing individual identification has become a critical scientific challenge.Methods We define a novel composite genetic marker(methylation-microhaplotype)by combining CpG sites stably hypermethylated or hypomethylated in natural human DNA and nearby immediately adjacent microhaplotype sites.A total of 19 locis were obtained according to the screening criteria,and a composite detection system for methylation-microhaplotypes was established using MPS technology.Random volunteer DNA samples were extracted and synthetic DNA samples were prepared based on whole genome amplification techniques.Population DNA samples were analyzed to evaluate forensic parameters and methylation variability of the methylation-microhaplotype markers.Comparative analyses of human and synthetic DNA were conducted to assess the markers'ability to discriminate between the two and to detect/type both components in mixed mixed samples.Results The composite detection system composed of 19 locis demonstrated high individual identification ability,achieving a cumulative individual identification probability of 0.999 999 999 996 86.12 hypermethylated locis and 7 hypomethylated locis had relatively stable methylation levels in 57 human DNA samples.According to the allele methylation rate(Ram)value,the system can effectively identify natural and synthetic DNA samples.Meanwhile,for mixed DNA samples,the presence of human and synthetic DNA samples can be found and genotyped.Conclusion Methylation-microhaplotype genetic markers,which can discover human DNA and synthetic DNA and can detect the presence and genotyping of them from mixed samples,is a potential useful tool for forensic DNA analysis.

Kidney transplantation is an effective treatment for end-stage renal disease.However,post transplantation diabetes mellitus(PTDM)is a common complication after kidney transplantation,affecting 10%to 40%of recipients and increasing the risk of cardiovascular disease,infections,sepsis and other conditions.The pathogenesis of PTDM is complex,including pancreatic β-cell dysfunction and insulin resistance.Tacrolimus,a commonly used immunosuppressive drug,is an independent risk factor for PTDM.Its mechanisms include damaging pancreatic β-cells,mediating impaired mitochondrial autophagy,etc.In addition,tacrolimus also raises blood glucose levels through various pathways,such as affecting gut microbiota metabolism and activating bile acid signaling pathways.In recent years,some new anti-diabetic drugs have shown certain application prospects in kidney transplant recipients,but the evidence-based medical evidence for their combined use still needs further exploration.In the future,it is necessary to conduct in-depth research on the multiple sites of action of tacrolimus to reduce the occurrence of PTDM and improve the prognosis of kidney transplant recipients.