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.

Objective: To propose an improved method for constructing the internal quality control (IQC) framework for ELISA assays and validate its efficacy by statistically analyzing IQC data from nine blood center laboratories. Methods: 1) IQC data was collected from nine blood centers and analyzed using a domestic HBsAg ELISA detection kit as an example. 2) Differences between IQC values across batches within Blood Center 1 were assessed. 3) Statistical analyses were performed on batch usage, number of batches used, days of use, number of QC points, batch-specific means, and coefficients of variation (CV) across all nine centers. 4) Using the improved construction method for IQC framework, provisional and permanent frames were established for batches within Blood Center 1 and Blood Center 9, followed by outlier determination. Results: 1) Statistically significant differences were observed in IQC data between batches within Blood Center 1 (P<0.01). It is recommended that both the control material/reagents and the control chart framework be replaced simultaneously. 2) There were substantial differences among 9 blood centers regarding the control material/reagent lot numbers used, the number of QC runs per batch, and the QC values for identical lots. Therefore, individual laboratories should establish their own IQC chart frameworks. 3) The improved IQC framework construction method for ELISA assays is as follows: provisional frames are established via frame-shifting, using the pre-experimental mean and cumulative coefficient of variation (CV) from the preceding batch. For batches used >20 days with >20 QC points, permanent frames are constructed by aggregating in-control data accumulated over ≥20 days with ≥20 points to calculate cumulative mean and standard deviation. The provisional and permanent frames constructed by this method identified all 26 extreme outliers across Blood Centers 1 and 9 as out-of-control. Among the 218 general outliers, 10 were classified as normal by the provisional frames, while the remainder were designated as warnings or out-of-control. This method effectively monitors assay stability. Conclusion: Based on the statistical analysis of IQC practices across blood centers of varying scales, combined with the inherent characteristics of ELISA assays and the batch-to-batch instability of reagents/QC materials, it is recommended to reconstruct QC charts upon lot changes. The proposed method—utilizing frame-shifting for provisional frames and establishing permanent frames based on cumulative data—is applicable to blood center laboratories of differing sizes and effectively monitors the stability of the ELISA assay process.

OBJECTIVE: To delineate the clinical and genetic features of a Chinese girl harboring a rare de novo variant of SYNGAP1 associated with Mental retardation, autosomal dominant 5 (MRD5), and to conduct a comprehensive genotype-phenotype correlation analysis within the Chinese population through an extensive literature review. METHODS: A 5-year-old girl presenting with seizures without an obvious cause was enrolled in September 2020. Genomic DNA was extracted from the patient and her parents. Whole exome sequencing (WES) was performed on the proband to identify suspected pathogenic variants based on her clinical phenotype. Sanger sequencing was used for validation, followed by bioinformatic analysis of the variant. Additionally, data from 54 previously reported Chinese cases with SYNGAP1 variants were integrated to summarize the distribution of variant types and clinical characteristics. Ethical approval was obtained from the Ethics Committee of Kunming Children's Hospital (Ethics No.: 2021-03-055-K01). RESULTS: WES identified a heterozygous nonsense variant, SYNGAP1 c.725G>A (p.Trp242*), in the proband. Sanger sequencing confirmed it was a de novo variant. According to the ACMG guidelines, this variant was classified as pathogenic (PVS1+PS2). Based on the clinical manifestations, the patient was diagnosed with MRD5. Bioinformatic analysis suggested that this variant introduces a premature stop codon at tryptophan 242, disrupting the PH domain and leading to the loss of the C2, Ras-GAP, and C-terminal domains. The pooled analysis of Chinese cases revealed that nonsense (38.2%) and frameshift (36.4%) variants were the predominant types. Intellectual disability/developmental delay was present in 100.0% of patients, epilepsy in 83.6%, and autism spectrum disorder in 41.3%. The incidence of epilepsy differed significantly among variant types (P = 0.045). Exons 8 and 15 were identified as mutation hotspots. CONCLUSION This study has identified a SYNGAP1 c.725G>A variant in the Chinese population and confirmed it as a potential cause of MRD5, which expanded the mutational spectrum of this disorder.
Humans ; Female ; Child, Preschool ; Intellectual Disability/genetics* ; ras GTPase-Activating Proteins/genetics* ; Phenotype ; Exome Sequencing ; Genetic Association Studies

Objective: To investigate the correlation between color parameters (L^*, a^*, b^*, Eab^*) and the contents of reducing sugars, total polysaccharides, total oligosaccharides, as well as four saccharides (fructose, glucose, sucrose, and kestose) during the nine cycles of steaming and sun-drying processing of Polygonatum kingianum, and to preliminarily explore the optimal processing duration.
Methods: The color changes were objectively evaluated using a colorimeter. The anthrone-sulfuric acid method was employed to determine total polysaccharides and oligosaccharides. The 3,5-dinitrosalicylic acid (DNS) colorimetric method was used to measure total reducing sugar content. High-performance liquid chromatography coupled with charged aerosol detection (HPLC-CAD) was applied for quantitative analysis of fructose, glucose, sucrose, and kestose. Multivariate statistical analysis was conducted to assess samples from different processing stages.
Results: Significant variations in color and component contents were observed across processing stages. The herbal pieces progressively darkened with increased processing cycles: brightness (L^*) and total color difference (Eab^*) initially decreased then stabilized, while a^* (red-green) and b^* (yellow-blue) values first increased then declined. Total polysaccharides and oligosaccharides showed overall decreasing trends, whereas reducing sugars initially increased before stabilizing. Fructose and glucose levels rose continuously, while sucrose and kestose decreased progressively, becoming undetectable after five cycles.
Conclusion: The chromatic alteration and saccharide composition of P. kingianum showed significant correlation with processing duration. Both total color difference (Eab^*) and reducing sugar content stabilized after four processing cycles (12 hours), suggesting that four cycles of steaming and sun-drying may represent the optimal processing duration.

ObjectiveTo address the shortage of high-caliber multidisciplinary professionals in China's rehabilitation engineering field and the prominent issue of "separation between medicine and engineering" in existing curricula, this study introduces the World Health Organization rehabilitation competency framework (RCF) to construct a systematic curriculum system for rehabilitation engineering. MethodsGuided by the four core competency domains of RCF (practice, professionalism, learning and development, management and leadership) and their associated supporting knowledge, the rehabilitation engineering curriculum was restructured into a modular framework, piloted and validated within the Biomedical Engineering (Intelligent Robotics) program at University of Health and Rehabilitation Sciences. ResultsA four-tiered curriculum system comprising General Education-Disciplinary Platform-Professional Core-Diverse Electives with a total of 160 credits was established, achieving precise mapping between competency objectives and course content. The students in the pilot cohort demonstrated outstanding academic performance (50% ranked in the top ten of their major), they also gained a deeper understanding and mastery of interdisciplinary knowledge integrating medicine and engineering. ConclusionThe RCF-based curriculum system effectively promotes the organic integration of medical and engineering knowledge, providing an internationally aligned competency-oriented paradigm for rehabilitation engineering talent cultivation, which holds significant value for broader application.

ObjectiveTo investigate the current status of HIV-related health service uptake among cross-border couples (Chinese husbands and Myanmar wives) in Dehong Dai and Jingpo Autonomous Prefecture (hereinafter referred to as Dehong Prefecture), and to provide evidence for optimizing HIV prevention and control strategies in border areas. MethodsA cross-sectional survey was conducted from September 2022 to September 2023 among 14 662 cross-border couples (Chinese husbands and Myanmar wives) in Dehong Prefecture. Data on sociodemographic characteristics, HIV/AIDS knowledge awareness, and utilization of HIV-related health services within the past year were collected. Multivariable logistic regression was used to analyze factors associated with HIV testing uptake among husbands and wives. ResultsA total of 29 324 individuals (14 662 couples) were included. The overall awareness rate of HIV/AIDS was 82.09%, with the rate among husbands significantly higher than that among wives (85.17% vs. 79.01%, P<0.001). Overall, 94.98% of participants had received at least one HIV-related health service, and the HIV testing rate in the past year was 65.52%. Multivariable logistic regression analysis showed that, compared with participants married for 0‒3 years, those married for 4‒10 years and ≥11 years were more likely to have received HIV testing. The corresponding ORs were 1.344 (95%CI: 1.187‒1.521) and 1.381 (95%CI: 1.211‒1.574) among husbands, and 1.308 (95%CI: 1.155‒1.481) and 1.344 (95%CI: 1.178‒1.533) among wives, respectively. Compared with those holding a marriage certificate, those possessing a border marriage registration certificate were positively associated with HIV testing uptake, with ORs of 1.710 (95%CI: 1.575‒1.857) among husbands and 1.700 (95%CI: 1.565‒1.847) among wives. Compared with illiterate participants, those with primary school education showed lower testing rates, with ORs of 0.738 (95%CI: 0.650‒0.837) among husbands and 0.827 (95%CI: 0.766‒0.891) among wives. Additionally, a history of sexually transmitted diseases (OR=3.656, 95%CI: 1.243‒15.589) and participation in the New Rural Cooperative Medical Scheme (OR=1.51, 95%CI: 1.179‒1.935) were independently associated with higher testing rates among husbands. ConclusionThe overall utilization of HIV-related health services among cross-border couples in Dehong Prefecture is satisfactory, but significant gender disparities exist, with foreign wives showing lower rates of knowledge awareness and lower proportions obtaining such knowledge through certain channels compared with their Chinese husbands. Couples with shorter marriage duration, those with primary school education, and those not included in the border marriage registration system are vulnerable groups with lower HIV testing uptake. Future interventions should prioritize cross-border marriage families at the early stage of entry and in the newly married period. Based on the border marriage registration management system and primary healthcare networks, health education and HIV testing services targeting foreign spouses should be strengthened to improve service accessibility and equity.

With the development of artificial intelligence， machine learning has shown great potential in the field of medical health. Machine learning conducts a comprehensive analysis of patient data including clinical features， blood tests， and imaging examinations and establishes corresponding mathematical models to achieve the diagnosis and treatment of diseases and the prediction of disease conditions， thereby guiding disease management. With reference to the latest research findings， this article reviews the application of machine learning in chronic hepatitis C and related research advances.

Tumor drug resistance is an important problem in the failure of chemotherapy and targeted drug therapy, which is a complex process involving chromatin remodeling. SWI/SNF is one of the most studied ATP-dependent chromatin remodeling complexes in tumorigenesis, which plays an important role in the coordination of chromatin structural stability, gene expression, and post-translation modification. However, its mechanism in tumor drug resistance has not been systematically combed. SWI/SNF can be divided into 3 types according to its subunit composition: BAF, PBAF, and ncBAF. These 3 subtypes all contain two mutually exclusive ATPase catalytic subunits (SMARCA2 or SMARCA4), core subunits (SMARCC1 and SMARCD1), and regulatory subunits (ARID1A, PBRM1, and ACTB, etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca²⁺ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca²⁺ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.

Chronic liver diseases with common causes including viral infections， alcohol abuse， and autoimmune diseases. Alkaloids， as a class of plant-derived compounds， have shown significant potential in regulating chronic liver diseases. Recent studies have shown that alkaloids are able to exert a therapeutic effect on chronic liver diseases through multiple pathways. These compounds have a regulatory effect on key pathological processes such as liver fibrosis， inflammatory response， oxidative stress， and cell apoptosis， and they also regulate the metabolic homeostasis of hepatocytes by modulating multiple signaling pathways， thereby playing a role in regulating chronic liver diseases. This article reviews the role and mechanism of alkaloids in the treatment of chronic liver diseases， in order to provide new ideas and directions for the treatment of chronic liver diseases.

Objective To establish a method for determination of pyriclobenzuron (PBU) residues in rice and paddy environments, and to determine the residual amounts and observe the degradation dynamics of PBU. Methods In July 2022, the paddies of Zhejiang Academy of Agricultural Sciences were selected as experimental fields, and were divided into the blank control group (no pesticide application), the 1-fold-concentration pesticide group (1 kg/667 m²), and the 5-fold-concentration pesticide group (5 kg/667 m²), with a 100 m² area in each group. At the early tillering stage of rice, 20% suspension of PBU sulfate was sprayed once in the 1-fold-concentration and 5-fold-concentration pesticide groups, and rice plants, paddy water and soil samples were collected 2 h, and 1, 2, 3, 5, 7, 11, 14, 21, 28, 35, 49 d and 63 d following spraying PBU, while rice straw, field soil, brown rice and rice husk samples were collected 98 d following spraying. PBU was extracted and purified in samples using a quick, easy, cheap, effective, rugged, and safe (QuEChERS) pretreatment technique, and the PBU contents were determined in samples using ultrahigh performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS). The solvent standard working solution and matrix standard working solution were prepared. A linear regression equation was fitted between PBU concentration (x-axis) and peak area (y-axis), and the ratio of the slope (k) of the matrix standard curve to the slope (K) of the solvent standard curve was calculated to evaluate the matrix effect of PBU in samples. According to the Guidelines for Pesticide Residue Testing in Crops (NY/T 788—2018), the addition levels of PBU were set at 0.005, 0.050, 5.000, 1 000.000 mg/kg in rice plants, 0.005, 0.050, 2.000, 10.000 mg/kg in paddy water, 0.005, 0.050, 2.000 mg/kg in soil, and 0.005, 0.050, 5.000 mg/kg in brown rice and rice husks. The recovery and relative standard deviation (RSD) of PBU addition were calculated to evaluate the effectiveness of UPLC-MS/MS for determination of PBU contents. The first-order kinetic equation of PBU concentration was fitted in samples at different sampling time points to analyze the trends in PBU degradation in rice plants, paddy water, and soil, and the half-life of PBU was calculated in different samples. Results There was a good linear relationship between the mass concentration and peak area of PBU at concentrations of 0.000 1 to 0.020 0 mg/kg under solvent and matrix conditions (R² = 0.985 8 to 0.999 7, t = -0.47 to 1.62, all P values < 0.01). The matrix effects of PBU were 70.26%, 65.42% and 65.12% in rice plants, brown rice and rice husks, indicating a matrix-inhibitory effect, and the matrix effect was 87.06% in soils, indicating a weak matrix effect. The recovery of PBU addition was 77.61% to 100.12% in different samples, with RSD of 1.43% to 6.74%, and a limit of quantification (LOQ) of 0.005 mg/kg, and the addition recovery and RSD met the requirements of the Guidelines for Pesticide Residue Testing in Crops (NY/T 788—2018), validating the effectiveness of UPLC-MS/MS assay. Following spraying PBU at a dose of 1 kg/667 m², the half-life of PBU was 6.24 d in rice plants and 3.43 d in paddy water samples, respectively. The final residues of PBU were lower than the LOQ of 0.005 mg/kg in brown rice and rice husk samples 98 d following spraying PBU. Following spraying PBU at a dose of 5 kg/667 m², the half-life of PBU was 15.75 d in rice plants and 7.62 d in paddy water samples, respectively. The final residue of PBU was lower than the LOQ of 0.005 mg/kg in brown rice 98 d following spraying PBU, and the final residue of PBU was 0.049 mg/kg in rice husks. Conclusions A simple, and highly accurate and precise UPLC-MS/MS assay has been developed for determination of PBU residues in rice plants and paddy environments through extraction and purification of PBU from matrix samples using QuEChERS pretreatment. After spraying PBU in paddies, the concentration of PBU gradually decreases in rice plants and paddy water over time, and the final residual concentration is low.