Objective To explore a method for rapid and differential diagnosis of rejection after kidney transplantation through urine hyperspectral imaging technology. Methods Hyperspectral data information from urine samples of 118 recipients after kidney transplantation was collected, and a deep learning model was constructed to diagnose and classify the types of rejection. Results A deep learning diagnostic model based on the 34-layer residual network (ResNet-34) was constructed, and 118 patients were included and divided into the training set and the test set. Based on the pathological results of the transplanted kidney puncture, the urine samples of the patients were classified into five groups: the non-rejection group, the T-cell-mediated rejection group, the antibody-mediated rejection group, the mixed rejection group and the nephropathy recurrence group. The results showed that the diagnostic sensitivities of the model for the above five groups were 0.960, 0.980, 0.930, 0.940 and 0.943 respectively, and the diagnostic specificities were 0.983, 0.993, 0.997, 0.989 and 0.989 respectively. The overall diagnostic accuracy rate reached 95.7%. Conclusions The study provides a non-invasive, rapid and accurate auxiliary diagnostic method for the differential diagnosis of rejection after kidney transplantation.

AIM:To investigate the effect of paeoniflorin on the inflammatory response of diabetic retinopathy rats by regulating phosphatidylinositol-3 kinase/protein kinase B(PI3K/Akt)signaling pathway.METHODS: A total of 70 SPF male SD rats were selected, and 12 rats were randomly selected as the control group(normal saline gavage). The remaining 58 rats were fed with high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin(STZ)to establish diabetic rat models. Rats with diabetic retinopathy were randomly divided into model group(normal saline), paeoniflorin low-dose group(100 mg/kg paeoniflorin), paeoniflorin high-dose group(200 mg/kg paeoniflorin)and metformin group(100 mg/kg metformin), with 12 rats in each group. The body mass of the rats in each group were compared. HE staining was used to observe the pathological changes of the rat retina. Automatic biochemical analyzer was used to detect the levels of fasting blood glucose, glycosylated hemoglobin, serum high-density lipoprotein cholesterol(HDL-C), low-density lipoprotein cholesterol(LDL-C), total cholesterol and triglyceride in the rats. Enzyme-linked immunosorbent assay was used to detect the levels of serum superoxide dismutase(SOD), reactive oxygen species(ROS), malondialdehyde(MDA), glutathione peroxidase(GSH-PX), tumor necrosis factor-α(TNF-α), interleukin-6(IL-6)and interleukin-1β(IL-1β)in the rats. Western blot was used to detect the expressions of Occludin, p-PI3K, tight junction protein-1(ZO-1), p-Akt and VE-Cadherin in the rat retina.RESULTS: The expression levels of Occludin, ZO-1 and VE-cadherin in low-dose and high-dose paeoniflora groups were higher than those in the model group, while the expression levels of TNF-α, IL-6, IL-1β, p-PI3K and p-Akt in serum were lower than those in the model group. The high-dose group of paeoniflorin was significantly better than the low-dose group of paeoniflorin(all P<0.05).CONCLUSION: Paeoniflorin may reduce inflammatory response in diabetic retinopathy rats by inhibiting PI3K/Akt signaling pathway.

AIM:To investigate the effect of paeoniflorin on the inflammatory response of diabetic retinopathy rats by regulating phosphatidylinositol-3 kinase/protein kinase B(PI3K/Akt)signaling pathway.METHODS: A total of 70 SPF male SD rats were selected, and 12 rats were randomly selected as the control group(normal saline gavage). The remaining 58 rats were fed with high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin(STZ)to establish diabetic rat models. Rats with diabetic retinopathy were randomly divided into model group(normal saline), paeoniflorin low-dose group(100 mg/kg paeoniflorin), paeoniflorin high-dose group(200 mg/kg paeoniflorin)and metformin group(100 mg/kg metformin), with 12 rats in each group. The body mass of the rats in each group were compared. HE staining was used to observe the pathological changes of the rat retina. Automatic biochemical analyzer was used to detect the levels of fasting blood glucose, glycosylated hemoglobin, serum high-density lipoprotein cholesterol(HDL-C), low-density lipoprotein cholesterol(LDL-C), total cholesterol and triglyceride in the rats. Enzyme-linked immunosorbent assay was used to detect the levels of serum superoxide dismutase(SOD), reactive oxygen species(ROS), malondialdehyde(MDA), glutathione peroxidase(GSH-PX), tumor necrosis factor-α(TNF-α), interleukin-6(IL-6)and interleukin-1β(IL-1β)in the rats. Western blot was used to detect the expressions of Occludin, p-PI3K, tight junction protein-1(ZO-1), p-Akt and VE-Cadherin in the rat retina.RESULTS: The expression levels of Occludin, ZO-1 and VE-cadherin in low-dose and high-dose paeoniflora groups were higher than those in the model group, while the expression levels of TNF-α, IL-6, IL-1β, p-PI3K and p-Akt in serum were lower than those in the model group. The high-dose group of paeoniflorin was significantly better than the low-dose group of paeoniflorin(all P<0.05).CONCLUSION: Paeoniflorin may reduce inflammatory response in diabetic retinopathy rats by inhibiting PI3K/Akt signaling pathway.

ObjectiveAutism spectrum disorder (ASD) is a neurodevelopmental condition characterized by difficulties with communication and social interaction, restricted and repetitive behaviors. Previous studies have indicated that individuals with ASD exhibit early and lifelong attention deficits, which are closely related to the core symptoms of ASD. Basic visual attention processes may provide a critical foundation for their social communication and interaction abilities. Therefore, this study explores the behavior of children with ASD in capturing attention to changes in topological properties. MethodsOur study recruited twenty-seven ASD children diagnosed by professional clinicians according to DSM-5 and twenty-eight typically developing (TD) age-matched controls. In an attention capture task, we recorded the saccadic behaviors of children with ASD and TD in response to topological change (TC) and non-topological change (nTC) stimuli. Saccadic reaction time (SRT), visual search time (VS), and first fixation dwell time (FFDT) were used as indicators of attentional bias. Pearson correlation tests between the clinical assessment scales and attentional bias were conducted. ResultsThis study found that TD children had significantly faster SRT (P<0.05) and VS (P<0.05) for the TC stimuli compared to the nTC stimuli, while the children with ASD did not exhibit significant differences in either measure (P>0.05). Additionally, ASD children demonstrated significantly less attention towards the TC targets (measured by FFDT), in comparison to TD children (P<0.05). Furthermore, ASD children exhibited a significant negative linear correlation between their attentional bias (measured by VS) and their scores on the compulsive subscale (P<0.05). ConclusionThe results suggest that children with ASD have difficulty shifting their attention to objects with topological changes during change detection. This atypical attention may affect the child’s cognitive and behavioral development, thereby impacting their social communication and interaction. In sum, our findings indicate that difficulties in attentional capture by TC may be a key feature of ASD.

OBJECTIVE To establish a interview outline design process and quality control evaluation method based on grounded theory， providing ideas for qualitative research interview outline design in medical fields. METHODS A literature review was conducted to understand the current research status； a preliminary interview outline was developed around the research content. The triangulation method， group evaluation， expert review and pre-interview were adopted to execute the interview outline and conduct quality control. The evaluation indicators and target values were formulated （an average score for the overall quality evaluation of all indicators ≥4.5， and an average score for individual indicators ≥4.00） to evaluate the effect of the interview outline. Taking the research on the mechanism of physicians’ prescribing behavior under the background of Diagnosis Related Groups （DRGs） payment as an example， the methodological contents of above interview outline were applied in practical research. RESULTS The interview outline included basic information and interview questions. The interview questions were divided into three parts：influencing factors survey， promoting and hindering factors of standardizing physician prescription behavior， and communication， with a total of 12 questions. After being reviewed by members of the research group， experts review and pre- interview， a total of 9 people participated in the quality control evaluation of the interview outline. The overall evaluation score was 4.94 （＞4.50）， and the average score of each indicator was greater than 4.00， indicating that the quality of the outline met the requirements for the interview and could be used for the formal interview. CONCLUSIONS The established interview outline design and quality control method based on grounded theory provides ideas for the qualitative research interview outline design in the medical field， and lays the foundation for further using grounded theory to study the influencing factors and mechanisms of physician prescription behavior under the DRG background.

BACKGROUND: Without timely and effective rehabilitation, hearing loss may profoundly affect human life quality. China has a large population of hearing-impaired individuals, which imposes a heavy health burden on society. Moreover, this population is projected to increase rapidly owing to China's aging society. METHODS: We used data from a population-representative epidemiological investigation of hearing loss and ear diseases in four Chinese provinces. We estimated the national prevalence using multiple linear regression of the age-group proportions and prevalence in 31 provinces with clustering analysis. We used years lived with disability (YLDs) to analyze the disease burden and forecasted the prevalence of hearing loss by 2060 in China. RESULTS: An estimated 115 million people had moderate-to-complete hearing loss in 2015 across the 31 provinces of China (8.4% of 1.37 billion people). Of these, 85.7% were older than age 50 years (99 million people) and 2.4% were younger than 20 years old (2.8 million people). Of all YLDs attributable to hearing loss, 68.9% were attributable to moderate-to-complete cases. By 2060, a projected 242 million people in China will have moderate-to-complete hearing loss, a 110.0% increase from 2015. CONCLUSIONS The hearing loss prevalence in China is high. Population aging and socioeconomic factors substantially affect the prevalence and severity of hearing loss and the disease burden. The prevalence and severity of hearing loss are unevenly distributed across different provinces. Future public health policies should take these trends and regional variations into account.
Humans ; China/epidemiology* ; Hearing Loss/epidemiology* ; Prevalence ; Middle Aged ; Male ; Female ; Adult ; Aged ; Adolescent ; Young Adult ; Child ; Child, Preschool ; Infant ; Aged, 80 and over ; Cost of Illness

In 2025， Severe Liver Disease and Artificial Liver Group and Nutrition and Regeneration in End-Stage Liver Disease Group of Chinese Society of Hepatology， Chinese Medical Association， convened a panel of national experts to jointly develop China’s first guideline for the diagnosis and treatment of acute-on-chronic liver failure （ACLF）. Based on the latest research findings and clinical practice in China and globally， this guideline establishes a standardized definition of ACLF and provide recommendations for its diagnosis， treatment， and clinical management. This article gives an interpretation of the key points in the guideline， in order to provide a reference for standardized diagnosis and treatment of ACLF.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

In recent years, there has been a growing interest in the research on NOD-like receptor thermal protein domain associated protein 3(NLRP3) inflammasome inhibitors in the treatment of inflammatory diseases. The NLRP3 inflammasome is integral to the innate immune response, and its abnormal activation can lead to the release of pro-inflammatory cytokine, consequently facilitating the progression of various pathological conditions. Therefore, investigating the pharmacological inhibition pathway of the NLRP3 inflammasome represents a promising strategy for the treatment of inflammation-related diseases. Currently, the Food and Drug Administration(FDA) has not approved drugs targeting the NLRP3 inflammasome for clinical use due to concerns regarding liver toxicity and gastrointestinal side effects associated with chemical small molecule inhibitors in clinical trials. Natural small molecule compounds such as polyphenols, flavonoids, and alkaloids are ubiquitously found in animals, plants, and other natural substances exhibiting pharmacological activities. Their abundant sources, intricate and diverse structures, high biocompatibility, minimal adverse reactions, and superior biochemical potency in comparison to synthetic compounds have attracted the attention of extensive scholars. Currently, certain natural small molecule compounds have been demonstrated to impede the activation of the NLRP3 inflammasome via various action mechanisms, so they are viewed as the innovative, feasible, and minimally toxic therapeutic agents for inhibiting NLRP3 inflammasome activation in the treatment of both acute and chronic inflammatory diseases. Hence, this study systematically examined the effects and potential mechanisms of natural small molecule compounds derived from traditional Chinese medicine on the activation of NLRP3 inflammasomes at their initiation, assembly, and activation stages. The objection is to furnish theoretical support and practical guidance for the effective clinical application of these natural small molecule inhibitors.
NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Inflammasomes/metabolism* ; Inflammation/drug therapy* ; Anti-Inflammatory Agents/therapeutic use* ; Humans ; Animals ; Disease Models, Animal ; Biological Products/therapeutic use* ; Drug Discovery ; Medicine, Chinese Traditional/methods*