Kaposi sarcoma is an endothelial cell-derived malignant tumor caused by latent infection with human herpesvirus 8 (HHV-8) and reactivation under host immunosuppression. Solid organ transplant recipients are a high-risk group for Kaposi sarcoma. Compared with non-organ transplant recipients, post-transplant Kaposi sarcoma is often more aggressive and visceral involvement is more common. However, due to the relative rarity of Kaposi sarcoma after transplantation, routine pre-transplant serological screening for HHV-8 antibodies in donors and recipients and post-transplant prophylaxis for high-risk groups have not yet been carried out. And there is a lack of experience in the diagnosis and treatment of post-transplant Kaposi sarcoma. This article reviews the epidemiology, clinical manifestations, pathogenesis, diagnosis and treatment experience of Kaposi sarcoma in solid organ transplant recipients in recent years, aiming to attract the attention of transplant physicians and provide a reference for the diagnosis and treatment of this disease.

Thrombophilia is a pathological state characterized by a tendency towards thrombosis and thromboembolism caused by various genetic or acquired factors, either alone or in combination. In kidney transplantation, recipients with thrombophilia have a higher risk of thrombosis and acute rejection, which seriously affects the survival rate of both the recipient and the graft. Risk assessment, early diagnosis and appropriate intervention are crucial for the management of thrombophilia related to kidney transplantation. This article aims to enhance clinicians' understanding and treatment level of thrombophilia related to kidney transplantation by summarizing its epidemiology, common causes and pathogenesis, as well as management strategies.

Objective: To investigate the protective effects and underlying mechanisms of sodium pyruvate (SP) on RBC storage lesions using an oxidative damage model. Methods: Six units of leukocyte-depleted suspended RBCs (discarded for non-infectious reasons within three days post-collection) were randomly assigned to four groups: negative control (NS), positive control (PS), experimental group 1 (SP1), and experimental group 2 (SP2). Oxidative stress was induced in the PS group by the addition of hydrogen peroxide (H O ), while SP1 and SP2 received SP supplementation at different concentrations (25 mM and 50 mM, respectively) in the presence of H O . After 1 hour of incubation, RBC morphology was assessed microscopically, and biochemical indicators including glutathione (GSH), malondialdehyde (MDA), methemoglobin (MetHb), adenosine triphosphate (ATP), and Na /K -ATPase activity were measured. Results: RBCs in the PS group exhibited pronounced morphological damage, including cell shrinkage and echinocyte formation, whereas both SP-treated groups showed significantly reduced structural injury. SP treatment led to elevated GSH levels and decreased concentrations of MDA and MetHb, suggesting attenuation of oxidative stress. Additionally, SP enhanced intracellular ATP levels and Na /K -ATPase activity, thereby contributing to membrane stability. Notably, the SP2 group (50 mM) demonstrated superior protective effects compared to SP1 (25 mM). Conclusion: Sodium pyruvate effectively attenuates oxidative storage lesions in RBCs, primarily through its antioxidant properties, energy metabolism supporting ability, and celluar membrane stabilizing function. These findings suggest SP as a promising additive for enhancing the quality and safety of stored RBCs.

Diabetic nephropathy is one of the important causes of end-stage renal disease, and kidney transplantation is the best treatment option for patients with end-stage renal disease due to diabetes (DN-ESRD). However, patients with DN-ESRD have multiple complex factors that affect glucose homeostasis. Long-term hyperglycemia leads to disordered internal environment and extensive involvement of systemic organs, increasing the risks during the perioperative period of kidney transplantation. This article reviews the perioperative management strategies for kidney transplantation in patients with DN-ESRD, discusses the perioperative risk factors, preoperative evaluation and management, intraoperative volume and internal environment management and early postoperative management, and elaborates on the latest progress in this field.

Background Although current evidence suggests a link between outdoor air pollution and depressive symptoms, the effect of solid fuel use (a significant indoor air pollutant) on depressive symptoms in China's rural middle-aged and elderly population remains poorly understood. Objective To explore the association between solid fuel use for cooking and depressive symptoms among middle-aged and elderly people in rural areas of China, and to provide a basis for the prevention and control of depressive symptoms among residents in rural areas. Methods Data were obtained from the 2020 China Family Panel Studies (CFPS), depressive symptoms were assessed using 8-item Center for Epidemiologic Studies Depression Scale (CES-D), and cooking fuel type was self-reported. Subsequently, two-level binary unconditional logistic regression models were fitted to assess the impact of solid fuel use for cooking on depressive symptoms. Results A total of 7991 participants aged 45 years and older [mean age (58.52±9.18) years] were included in the study, with a mean CES-D score of 6.07±4.48 and a mean positive depressive symptoms rate of 34% (40.54% in the solid fuel group and 30.81% in the clean fuel group, χ²=74.40, P<0.001). After controlling for potential confounding covariates, rural middle-aged and elderly residents in the solid fuel group had a higher risk of reporting depressive symptoms than those in the clean fuel group (OR=1.36, 95%CI: 1.20-1.54), an association that was unaffected by participant characteristics and was positive across age and gender groups. Conclusion There is a positive association between solid fuel use for cooking and depressive symptoms in middle-aged and elderly people in rural areas of China. It is recommended that rural areas promote the upgrading of stoves through the installation of ventilation equipment or the switch from solid cooking fuel to clean fuel. This approach is directed toward reducing exposure to household air pollution, alleviating the prevalence of depression among middle-aged and elderly residents in vast rural areas, and enhancing their mental health.

The emergence of clustered regularly interspaced short palindromic repeat (CRISPR) and CRISPR-associated proteins (Cas) system represents a revolutionary paradigm shift in molecular diagnostics, offering transformative potential for RNA analysis within the rigorous demands of forensic science. Conventional forensic RNA detection methodologies, such as reverse transcription-quantitative polymerase chain reaction (RT-qPCR) or microarray analysis, are significantly hampered by inherent limitations including complex, multi-step protocols requiring sophisticated laboratory infrastructure, pronounced susceptibility to inhibitors prevalent in complex forensic matrices (e.g., humic acids, heme, indigo dyes), and often inadequate sensitivity for trace or degraded samples typical of crime scenes, thereby failing to meet the critical operational imperatives of forensic practice: rapidity, high specificity, sensitivity, portability, and robustness against interference. This review posits that CRISPR-Cas-based RNA detection technology provides a groundbreaking solution by leveraging the programmable, sequence-specific recognition conferred by the synergistic interaction between a designed guide RNA (gRNA) and Cas effector proteins (e.g., Cas12a, Cas13a, Cas14). Upon target RNA binding, specific Cas enzymes undergo conformational activation, exhibiting collateral cleavage activity―a unique catalytic amplification mechanism where the enzyme non-specifically cleaves surrounding reporter molecules, enabling ultra-high sensitivity. To further enhance detection limits, CRISPR-Cas systems are strategically integrated with isothermal pre-amplification techniques like recombinase polymerase amplification (RPA) or loop-mediated isothermal amplification (LAMP), which efficiently amplify target RNA at constant temperatures, eliminating the need for thermal cyclers. This powerful cascade―isothermal pre-amplification followed by CRISPR-mediated sequence-specific recognition and collateral signal amplification―achieves exceptional sensitivity, often down to the single-molecule (attomolar) level, while drastically reducing analysis time to potentially 30-60 min. Crucially, the compatibility of CRISPR-Cas detection with simple, equipment-free readout systems, such as lateral flow strips (LFS) for visual colorimetric results or portable fluorescence/electrochemical sensors, facilitates true point-of-need (PON) forensic analysis directly at crime scenes, morgues, or field labs. This enables rapid applications like specific body fluid identification (e.g., distinguishing menstrual blood via miRNA, identifying saliva via mRNA), post-mortem interval (PMI) estimation through RNA degradation/expression patterns, donor age inference via age-related RNA markers, tissue identification, and microbial forensics, thereby accelerating investigative leads, minimizing sample degradation risks, and optimizing resource allocation. However, significant challenges impede widespread adoption, including persistent environmental interference inhibiting enzymes, fluctuations in Cas/amplification enzyme activity affecting reproducibility, a critical lack of standardized protocols and validated quality assurance/quality control (QA/QC) frameworks essential for forensic reliability and court admissibility, and current limitations in multiplex detection capability. Consequently, future research must prioritize overcoming multiplexing bottlenecks for comprehensive analysis, enhancing system robustness through Cas protein engineering and optimized reagents, developing fully integrated, sample-to-answer microfluidic or lateral flow devices for user-friendly field deployment, and collaboratively establishing universally accepted validation guidelines, performance standards, and stringent QA/QC procedures. Furthermore, the urgent development of clear ethical guidelines governing the use of this highly sensitive technology, particularly concerning RNA data privacy and potential misuse, is imperative. This review systematically outlines the principles, forensic applications, current limitations, and future trajectories of CRISPR-RNA detection, with the authors’ conviction that focused efforts addressing these challenges will translate this technology into a cornerstone of next-generation forensic practice, driving unprecedented efficiency and innovation in field investigations and laboratory analysis to enhance justice delivery.

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.

Perihilar cholangiocarcinoma(PHC)is a common malignancy of biliary tract,for which surgery is the most effective treatment.However,its prognosis is not satisfactory even after surgical resection.In recent years,there have been some new advances in the surgical treatment of PHC.In this paper,we reviewed the existing literatures,demonstrated the current situation of preoperative biliary drainage,liver hyperplasia,hepatic resection,liver transplantation and minimally invasive surgery in the treatment of PHC,and prospected the future research direction.

Post-endoscopic retrograde cholangiopancreatography pancreatitis(PEP)is one of the most common complications after endoscopic retrograde cholangiopancreatography(ERCP).Numerous PEP prediction models have been established based on different statistical methods at home and abroad.The PEP prediction model,as a tool for evaluating and screening high-risk populations,can provide a basis for medical staff to find high-risk PEP patients early and take effective preventive measures.In recent years,new PEP prediction models have appeared one after another,but there is still a lack of recognized reliable prediction models in clinic.This article reviews the research status of PEP risk prediction models,aim to provide a direction for establishing a more reliable,accurate,and practical PEP risk prediction model in the later period.

Objective With the widespread of transcatheter aortic valve replacement(TAVR)in patients with severe symptomatic aortic stenosis(AS),the life-cycle management has become a major determinant of prognosis.Methods A total of 408 AS patients who underwent successfully TAVR from June 2021 to August 2023 were consecutively enrolled in Hospital Valve Intervention Center.Patients were assigned to the Usual Care(UC)group between June 2021 and October 2022,while patients were assigned to the Heart Multi-parameter Monitoring(HMM)group between November 2022 and August 2023.The primary endpoint was defined as composite endpoint within 6 months post-TAVR,including all-cause death,cardiovascular death,stroke/transient ischemic attack,conduction block,myocardial infarction,heart failure rehospitalization,and major bleeding events.Secondary endpoints were the time interval(in hours)from event occurrence to medical consultation or advice and patient satisfaction.Statistical analysis was performed using Kaplan-Meier and multivariable Cox proportional hazards models.Results The incidence of primary endpoint in HMM group was significantly lower than that in UC group(8.9％vs.17.7％,P=0.016),the driving event was the rate of diagnosis and recognition of conduction block.The average time intervals from event occurrence to receiving medical advice were 3.02 h in HHM group vs.97.09 h in UC group(P＜0.001).Using cardiac monitoring devices and smart healthcare platforms provided significant improving in patients long-term management(HR 0.439,95％CI 0.244-0.790,P=0.006).Conclusions The utilization of cardiac monitoring devices and smart healthcare platforms effectively alerted clinical events and improved postoperative quality of life during long-term management post TAVR.