Background: Our genomic understanding of lymphomas, a heterogeneous group of neoplasms, has grown exponentially. The latest World Health Organization (WHO) and International Consensus classifications reflect the importance of genetic assessment in the diagnosis and prognostication of and therapeutic decision making in lymphoid neoplasms. To address this clinical need for routinely available and timely testing, we aimed to validate the Ion AmpliSeq Liverpool Lymphoid Network Panel (IALLNP; Thermo Fisher Scientific, Waltham, MA, USA). Methods: We clinically validated the IALLNP on the Ion Torrent Genexus Sequencer (Thermo Fisher Scientific). The panel detects single-nucleotide variants (SNVs) and insertions/deletions (indels) in 60 clinically relevant genes. The validation set included a commercial control and 54 DNA samples covering the spectrum of clinically aggressive and indolent lymphomas. Results: After optimizing for poor coverage regions, recurrent artifacts, and false-negative calls, the panel showed good performance in terms of depth of coverage, on-target reads, and uniformity. Its sensitivity for SNVs and indels at a lower limit of detection of 5% variant allele frequency (VAF) was 100%. Specificity in variant-negative samples was 100%, and the mean per-sample number of false-positive variants—which were easily identifiable and excluded upon interrogation of raw data—was 0.4. The panel demonstrated 92.8% reproducibility; however, all nonreproducible variants fell below the 5% VAF analytical threshold. Conclusions The IALLNP is an accurate and reproducible next-generation sequencing panel that delivers genetic results for lymphoid neoplasms in a clinically meaningful timeframe.

Inteins are unique protein insertion sequences capable of self-excision, enabling the covalent ligation of flanking extein peptides via amide bond formation. This process proceeds spontaneously without requiring external enzymes, cofactors, or chemical reagents, granting inteins exceptional biocompatibility and traceless performance in protein engineering applications. Split inteins represent a specialized and versatile subclass whose splicing domains are encoded by two separate gene fragments rather than a single continuous open reading frame. These fragments, known as the N-terminal (IntN) and C-terminal (IntC) split inteins, associate through non-covalent interactions including hydrophobic forces, hydrogen bonds, and van der Waals forces to assemble into an active three-dimensional structure, which then drives efficient extein ligation and enables protein trans-splicing. Protein trans-splicing mediated by split inteins has become a cornerstone for traceless protein ligation owing to its high specificity and irreversibility, fundamentally reshaping strategies for protein modification, assembly, and functional regulation. Compared with traditional chemical ligation methods, split intein systems require no complex chemical derivatization of peptide fragments and can operate efficiently at micromolar concentrations under physiological conditions, thus avoiding structural and functional damage caused by organic reagents. In contrast to enzymatic ligation tools such as sortase, split inteins eliminate the need for additional enzymes or cofactors, simplifying reaction systems, reducing costs, and minimizing non-specific side products. These distinctive advantages render split inteins highly promising for applications in chemical biology, synthetic biology, and biopharmaceutical development. In recent years, deepened mechanistic understanding has established structure-guided rational design as the primary approach to overcoming key limitations of split inteins, including intrinsic aggregation propensity, strict extein sequence dependence, and limited splicing efficiency. Bioinformatic tools have been used to identify aggregation-prone regions in the IntN fragment, and site-directed mutagenesis of hydrophobic residues, relocation of split sites, or removal of misfolding-prone sequences has substantially reduced in vitro aggregation and improved soluble expression and assembly activity. Rational engineering of catalytic residues and adjacent flexible loops has relaxed strict amino acid preferences at extein junctions, enhancing sequence tolerance and reducing the risk of functional impairment in target proteins. Consensus design based on multiple sequence alignments has yielded ultra-fast splicing variants such as Cfa DnaE and Cat-TerL, which exhibit significantly accelerated kinetics and improved tolerance to denaturing conditions. Meanwhile, advances in structural biology have further clarified the conformational dynamics and catalytic mechanisms of splicing, supporting the precise design of high-performance intein modules. On this basis, electrostatic interaction tuning and metagenomic screening have yielded multiple mutually orthogonal split intein pairs, enabling selective multi-fragment protein ligation and providing new routes for the efficient synthesis of large multi-domain functional proteins. With these engineered split inteins offering continuously improved performance and expanded applicability, protein trans-splicing has been widely applied in numerous cutting-edge areas of protein research and biomedicine. In gene delivery, split intein-based systems overcome the packaging limit of adeno-associated viral vectors, enabling the accurate reconstitution of large therapeutic proteins and base editors in target cells, thereby enhancing the efficacy and scope of gene therapy for genetic diseases. In internal protein sequence editing, split inteins mediate precise sequence replacement and modification in flexible regions or loops of target proteins, without the need for complex multi-step ligation and protein refolding involved in traditional protein semisynthesis. In protein-protein interaction studies, intein-mediated splicing covalently captures transient and weak intracellular complexes, enabling sensitive, high-throughput interaction detection and drug screening. In synthetic biology, conditionally controllable splicing systems support the construction of diverse intracellular and cell-surface biological logic gates for the precise regulation of cellular behavior. In mechanistic biochemical research, split inteins enable photocatalytic proximity labeling and site-specific tagging, allowing the preparation of homogeneous protein samples carrying precise post-translational modifications such as ubiquitination and polyglutamylation for chromatin interactome analysis and epigenetic studies. Moreover, covalent trapping strategies using split inteins stabilize transient enzymatic intermediates, providing unprecedented insights into molecular mechanisms such as nucleosome ubiquitination that are difficult to elucidate using conventional methods. This review systematically summarizes key technological advances in split inteins over the past decade, highlighting engineering strategies, mechanistic insights, and the development of orthogonal components. It comprehensively surveys emerging applications at the frontiers of protein research, analyzes current core challenges, and proposes future directions, particularly emphasizing artificial intelligence-driven de novo design and novel splicing pathways to break existing technical bottlenecks. By enabling traceless, efficient, and versatile protein manipulation, split inteins continue to serve as indispensable tools that drive innovation in protein engineering and fundamental life science research.

Objective To explore the efficacy of ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT) in distinguishing the properties of abnormal lymph nodes and its role in assessing the prognosis of patients with related diseases, and to provide more precise evidence for clinical diagnosis and treatment regimen formulation. Methods The clinical data of 97 patients with malignant tumors diagnosed with abnormal lymph nodes at Wuxi People’s Hospital Affiliated to Nanjing Medical University between April 2024 and June 2025 were retrospectively analyzed. Patients were divided into a malignant lymph node group (n=47) and a benign lymph node group (n=50) based on pathological results. PET/CT metabolic parameters [maximum standardized uptake value (SUV_max), mean standardized uptake value (SUV_mean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG)] were compared between the two groups of patients. Receiver operating characteristic curves were used to evaluate the diagnostic value of ¹⁸F-FDG PET/CT parameters for abnormal lymph nodes. Progression-free survival was compared among patients in the malignant lymph node group stratified by different levels of SUV_max, SUV_mean, MTV, and TLG. Results SUV_max, SUV_mean, MTV, and TLG were significantly higher in the malignant lymph node group than in the benign lymph node group (P < 0.05). The areas under the receiver operating characteristic curves for predicting malignant lymph nodes with SUV_max, SUV_mean, MTV, and TLG were 0.761, 0.855, 0.860, and 0.792, with sensitivities of 74.47%, 82.98%, 74.47%, and 70.21%, and specificities of 76.00%, 76.00%, 90.00%, and 82.00%, respectively (P < 0.05). Comparison of progression-free survival in patients with malignant lymph nodes with different ¹⁸F-FDG PET/CT parameter levels revealed that patients with lower levels of SUV_max, SUV_mean, MTV, and TLG had significantly longer progression-free survival than those with higher levels (Log-rank χ²=4.297, P=0.038; Log-rank χ²=6.569, P=0.010; Log-rank χ²=5.970, P=0.015; and Log-rank χ²=7.422, P=0.006, respectively). Conclusion ¹⁸F-FDG PET/CT metabolic parameters (SUV_max, SUV_mean, MTV, and TLG) demonstrate high efficacy in the differential diagnosis of benign and malignant abnormal lymph nodes and prognostic evaluation, providing significant guidance for clinical treatment decisions.

Objective To explore the efficacy of ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT) in distinguishing the properties of abnormal lymph nodes and its role in assessing the prognosis of patients with related diseases, and to provide more precise evidence for clinical diagnosis and treatment regimen formulation. Methods The clinical data of 97 patients with malignant tumors diagnosed with abnormal lymph nodes at Wuxi People’s Hospital Affiliated to Nanjing Medical University between April 2024 and June 2025 were retrospectively analyzed. Patients were divided into a malignant lymph node group (n=47) and a benign lymph node group (n=50) based on pathological results. PET/CT metabolic parameters [maximum standardized uptake value (SUV_max), mean standardized uptake value (SUV_mean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG)] were compared between the two groups of patients. Receiver operating characteristic curves were used to evaluate the diagnostic value of ¹⁸F-FDG PET/CT parameters for abnormal lymph nodes. Progression-free survival was compared among patients in the malignant lymph node group stratified by different levels of SUV_max, SUV_mean, MTV, and TLG. Results SUV_max, SUV_mean, MTV, and TLG were significantly higher in the malignant lymph node group than in the benign lymph node group (P < 0.05). The areas under the receiver operating characteristic curves for predicting malignant lymph nodes with SUV_max, SUV_mean, MTV, and TLG were 0.761, 0.855, 0.860, and 0.792, with sensitivities of 74.47%, 82.98%, 74.47%, and 70.21%, and specificities of 76.00%, 76.00%, 90.00%, and 82.00%, respectively (P < 0.05). Comparison of progression-free survival in patients with malignant lymph nodes with different ¹⁸F-FDG PET/CT parameter levels revealed that patients with lower levels of SUV_max, SUV_mean, MTV, and TLG had significantly longer progression-free survival than those with higher levels (Log-rank χ²=4.297, P=0.038; Log-rank χ²=6.569, P=0.010; Log-rank χ²=5.970, P=0.015; and Log-rank χ²=7.422, P=0.006, respectively). Conclusion ¹⁸F-FDG PET/CT metabolic parameters (SUV_max, SUV_mean, MTV, and TLG) demonstrate high efficacy in the differential diagnosis of benign and malignant abnormal lymph nodes and prognostic evaluation, providing significant guidance for clinical treatment decisions.

Objective To explore the efficacy of ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT) in distinguishing the properties of abnormal lymph nodes and its role in assessing the prognosis of patients with related diseases, and to provide more precise evidence for clinical diagnosis and treatment regimen formulation. Methods The clinical data of 97 patients with malignant tumors diagnosed with abnormal lymph nodes at Wuxi People’s Hospital Affiliated to Nanjing Medical University between April 2024 and June 2025 were retrospectively analyzed. Patients were divided into a malignant lymph node group (n=47) and a benign lymph node group (n=50) based on pathological results. PET/CT metabolic parameters [maximum standardized uptake value (SUV_max), mean standardized uptake value (SUV_mean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG)] were compared between the two groups of patients. Receiver operating characteristic curves were used to evaluate the diagnostic value of ¹⁸F-FDG PET/CT parameters for abnormal lymph nodes. Progression-free survival was compared among patients in the malignant lymph node group stratified by different levels of SUV_max, SUV_mean, MTV, and TLG. Results SUV_max, SUV_mean, MTV, and TLG were significantly higher in the malignant lymph node group than in the benign lymph node group (P < 0.05). The areas under the receiver operating characteristic curves for predicting malignant lymph nodes with SUV_max, SUV_mean, MTV, and TLG were 0.761, 0.855, 0.860, and 0.792, with sensitivities of 74.47%, 82.98%, 74.47%, and 70.21%, and specificities of 76.00%, 76.00%, 90.00%, and 82.00%, respectively (P < 0.05). Comparison of progression-free survival in patients with malignant lymph nodes with different ¹⁸F-FDG PET/CT parameter levels revealed that patients with lower levels of SUV_max, SUV_mean, MTV, and TLG had significantly longer progression-free survival than those with higher levels (Log-rank χ²=4.297, P=0.038; Log-rank χ²=6.569, P=0.010; Log-rank χ²=5.970, P=0.015; and Log-rank χ²=7.422, P=0.006, respectively). Conclusion ¹⁸F-FDG PET/CT metabolic parameters (SUV_max, SUV_mean, MTV, and TLG) demonstrate high efficacy in the differential diagnosis of benign and malignant abnormal lymph nodes and prognostic evaluation, providing significant guidance for clinical treatment decisions.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.

ObjectiveTo analyze the data structure and standards of rehabilitation outpatient medical records, to provide data support for improving the quality of rehabilitation outpatient care and developing medical insurance payment policies. MethodsBased on the normative documents issued by the National Health Commission, Basic Standards for Medical Record Writing and Standards for Electronic Medical Record Sharing Documents, in accordance with the Quality Management Regulations for Outpatient (Emergency) Diagnosis and Treatment Information Pages (Trial), reference to the framework of the World Health Organization Family of International Classifications (WHO-FICs), the data framework and content of rehabilitation outpatient medical records were determined, and the data standards were discussed. ResultsThis study constructed a data framework for rehabilitation outpatient medical records, including four main components: patient basic information, visit process information, diagnosis and treatment information, and cost information. Three major reference classifications of WHO-FICs, International Classification of Diseases, International Classification of Functioning, Disability and Health, and International Classification of Health Interventions,were used to establish diagnostic standards and standardized terminology, as well as coding disease diagnosis, functional description, functional assessment, and rehabilitation interventions, to improve the quality of data reporting, and level of quality control in rehabilitation. ConclusionThe structuring and standardization of rehabilitation outpatient medical records are the foundation for sharing of rehabilitation data. The using of the three major classifications of WHO-FICs is valuable for the terminology and coding of disease diagnosis, functional description and assessment, and intervention in rehabilitation outpatient medical records, which is significant for sharing and interconnectivity of rehabilitation outpatient data, as well as for optimizing the quality and safety of rehabilitation medical services.

ObjectiveTo explore the standardization of inpatient rehabilitation medical record summary sheet, encompassing its structure, content and data standards, to enhance the standardization level of inpatient rehabilitation medical record summary sheet, improve data reporting quality, and provide accurate data support for medical insurance payment, hospital performance evaluation, and rehabilitation discipline evaluation. MethodsBased on the relevant specifications of the National Health Commission's Basic Norms for Medical Record Writing, Specifications for Sharing Documents of Electronic Medical Records, and Quality Management and Control Indicators for Inpatient Medical Record Summary Sheet (2016 Edition), this study analyzed the structure and content of the inpatient rehabilitation medical record summary sheet. The study systematically applied the three major reference classifications of the World Health Organization Family of International Classifications, International Classification of Diseases (ICD-10/ICD-11, ICD-9-CM-3), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), for disease diagnosis, functional description and assessment, and rehabilitation intervention, forming a standardized terminology system and coding methods. ResultsThe inpatient rehabilitation medical record summary sheet covered four major sections: inpatient information, hospitalization information, diagnosis and treatment information, and cost information. ICD-10/ICD-11 were the standards and coding tools for admission and discharge diagnoses in the inpatient rehabilitation medical record summary sheet. The three functional assessment tools recommended by ICD-11, the 36-item version of World Health Organization Disability Assessment Schedule 2.0, Brief Model Disability Survey and Generic Functioning domains, as well as ICF, were used for rehabilitation functioning assessment and the coding of outcomes. ICHI Beta-3 and ICD-9-CM-3 were used for coding surgical procedures and operations in the medical record summary sheet, and also for coding rehabilitation intervention items. ConclusionThe inpatient rehabilitation medical record summary sheet is a summary of the relevant content of the rehabilitation medical record and a tool for reporting inpatient rehabilitation data. It needs to be refined and optimized according to the characteristics of rehabilitation, with necessary data supplemented. The application of ICD-11/ICD-10, ICF and ICHI Beta-3/ICD-9-CM-3 classification standards would comprehensively promote the accuracy of inpatient diagnosis of diseases and functions. Based on ICD-11 and ICF, relevant functional assessment result data would be added, and ICHI Beta-3/ICD-9-CM-3 should be used to code rehabilitation interventions. Improving the quality of rehabilitation medical records and inpatient rehabilitation medical record summary sheet is an important part of rehabilitation quality control, and also lays an evidence-based data foundation for the analysis and application of inpatient rehabilitation medical record summary sheet.

Urinary system tumors are very common nowadays，including prostate cancer，renal cancer，bladder cancer，and urothelial carcinoma.In recent years，the incidence of these tumors has been on the rise.This paper briefly summarizes the emerging technologies explored by West China Hospital in recent years for urinary system tumors，such as gene sequencing analysis，radiomics and big data，liquid chromatography-mass spectrometry，multi-modal intelligent fusion diagnostic technology，surgical decision-making tools built with artificial intelligence and big data，mRNA vaccines，combination of targeted and immune therapies，and irreversible electroporation technology.These technologies provide strong support and point out the ways for the prevention，early diagnosis，and individualized treatment of urinary system tumors.