ObjectiveBased on traditional quality evaluation of Gardeniae Fructus（GF） recorded in historical materia medica， this study systematically compared the quality differences between wild and cultivated GF from morphological characteristics， microscopic features， and contents of primary and secondary metabolites. MethodsVernier calipers and analytical balances were used to measure the length， diameter and individual fruit weight of wild and cultivated GF， and the aspect ratio was calculated. A colorimeter was used to determine the chromaticity value of wild and cultivated GF， and the paraffin sections of them were prepared by safranin-fast green staining and examined under an optical microscope to observe their microstructure. Subsequently， the contents of water-soluble and alcohol-soluble extracts of wild and cultivated GF were detected by hot immersion method under the general rule 2201 in volume Ⅳ of the 2020 edition of the Pharmacopoeia of the People's Republic of China， the starch content was measured by anthrone colorimetric method， the content of total polysaccharides was determined by phenol-sulfuric acid colorimetric method， the sucrose content was determined by high performance liquid chromatography coupled with evaporative light scattering detection（HPLC-ELSD）， and the contents of representative components in them were measured by ultra-performance liquid chromatography（UPLC）. Finally， correlation analysis was conducted between quality traits and phenotypic traits， combined with multivariate statistical analysis methods such as principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， key differential components between wild and cultivated GF were screened. ResultsIn terms of traits， the wild GF fruits were smaller， exhibiting reddish yellow or brownish red hues with significant variation between batches. While the cultivated GF fruits are larger， displaying deeper orange-red or brownish red. The diameter and individual fruit weight of cultivated GF were significantly greater than those of wild GF， while the blue-yellow value（b^*） of wild GF was significantly higher than that of cultivated GF. In the microstructure， the mesocarp of wild GF contained numerous scattered calcium oxalate cluster crystals， while the endocarp contained stone cell class round， polygonal or tangential prolongation， undeveloped seeds were visible within the fruit. In contrast， the mesocarp of cultivated GF contained few calcium oxalate cluster crystals， or some batches exhibited extremely numerous cluster crystals. The stone cells in the endocarp were predominantly round-like， with the innermost layer arranged in a grid pattern. Seeds were basically mature， and only a few immature seeds existed in some batches. Regarding primary metabolite content， wild GF exhibited significantly higher total polysaccharide level than cultivated GF（P<0.01）. In category-specific component content， wild GF exhibited significantly higher levels of total flavonoids and total polyphenols compared to cultivated GF（P<0.01）. Analysis of 12 secondary metabolites revealed that wild GF exhibited significantly higher levels of Shanzhiside， deacetyl asperulosidic acid methyl ester， gardenoside and chlorogenic acid compared to cultivated GF（P<0.01）. Conversely， the contents of genipin 1-gentiobioside， geniposide and genipin were significantly lower in wild GF（P<0.01）. ConclusionThere are significant differences between wild and cultivated GF in terms of traits， microstructure， and contents of primary and secondary metabolites. At present， the quality evaluation system of cultivated GF remains incomplete， and this study provides a reference for guiding the production of high-quality GF medicinal materials.

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.

OBJECTIVE To evaluate the efficacy and safety of letermovir in preventing cytomegalovirus （CMV） infection after allogeneic hematopoietic stem cell transplantation （allo-HSCT）. METHODS A retrospective cohort study was conducted， enrolling patients who underwent allo-HSCT at the Department of Hematology， Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine， from August 30， 2022， to February 21， 2024. Patients who initiated letermovir prophylaxis within 28 days post-transplantation were assigned to the experimental group （99 cases）， while those who did not initiate letermovir within this period were assigned to the control group （18 cases）. The incidence and clinical characteristics of CMV infection （including the number of wangranran@xinhuamed.com.cn CMV infection cases， the number of cases progressing to CMV disease， recurrent CMV disease， onset time of CMV infection， and treatment duration）， immune function recovery within 120 days post-transplantation， and the occurrence of transplantation-related complications （including CD4+ and CD8+ T-cell recovery， Epstein-Barr virus infection， acute graft-versus-host disease， human herpesvirus 6 infection， and posttransplant lymphoproliferative disorders） and adverse events were recorded. Univariate and multivariate Cox regression analyses were performed to identify factors influencing CMV infection. RESULTS A total of 117 patients were included， among whom 15 developed CMV infection， 5 progressed to CMV disease， and 2 experienced recurrent CMV disease. The CMV infection rate in the experimental group was significantly lower than that in the control group （P＜0.001）， and the onset time of CMV infection was significantly delayed （P＝0.014）. The proportion of patients with CD4+ T-cell counts ≥200 cells/μL in the experimental group was significantly lower than that in the control group （P＝0.022）. During the follow-up period， elevated creatinine levels were observed in 1 patient， and nausea and vomiting were observed in 2 patients. Multivariate Cox regression analysis revealed that the use of high-dose corticosteroids was a risk factor for CMV infection （HR＝6.230， 95%CI of 1.255-30.926， P＝0.025）， while initiating letermovir within 28 days post-transplantation was a protective factor （HR＝0.125， 95%CI of 0.045-0.348， P＜0.001）. CONCLUSIONS Early initiation of letermovir after allo-HSCT significantly reduces the CMV infection rate and delays the onset of infection， with favorable short-term safety.

Occupational chronic n-hexane poisoning incidents have been effectively curtailed in traditional printing and footwear industries, but its hazards are emerging in new industries. In recent years, two cluster incidents involving eight patients with occupational chronic n-hexane poisoning had occurred in Longgang District, Shenzhen City. Unlike the cleaning processes of electronic components in the electronics industry, these two incidents occurred during cleaning operations of non-electronic products. The rapid on-site detection tubes indicated the presence of n-hexane in the organic solvents used at the work site, and subsequent analysis of volatile components of the organic solvents further confirmed the involvement of n-hexane. Although the n-hexane exposure concentration of short term in the workplace air samples were below its occupational exposure limit, all eight cases were diagnosed as occupational chronic n-hexane poisoning, based on occupational exposure history, clinical manifestations, field investigations, and laboratory test results. These two poisoning incidents highlight that in air-conditioned or enclosed workshops with substandard occupational disease prevention facilities, the use of n-hexane containing organic solvents may result in occupational chronic n-hexane poisoning, even when the air monitoring results do not exceed the occupational exposure limits.

Objective: To investigate the association between expression levels of potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene and gout, so as to provide the basis for diagnosis, prevention and treatment of gout. Methods: A total of 179 patients diagnosed with gout at the outpatient department of Guangdong Second Provincial General Hospital were enrolled in the case group, while 179 healthy individuals matched by age (within 5 years) were selected as the control group. Demographic information, lifestyle, dietary intake and biochemical blood indicators were collected through questionnaires and laboratory tests. The relative expression levels of KCNQ1 gene mRNA were quantified using real-time fluorescence quantitative PCR. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic performance of KCNQ1 gene mRNA levels in distinguishing gout. The association between the relative expression level of KCNQ1 gene mRNA and gout, the interaction effects of the relative expression levels of KCNQ1 gene mRNA with dietary intake and biochemical blood indicators on gout were analyzed using a multivariate conditional logistic regression model. Results: There were 112 males (62.57%) and 67 females (37.43%) in the case group, with a mean age of (41.32±10.12) years. There were 98 males (54.75%) and 81 females (45.25%) in the control group, with a mean age of (40.24±7.62) years. The mRNA expression levels of the KCNQ1 gene were higher in the case group compared to the control group (P<0.05). The area under the ROC curve was 0.897 (95%CI: 0.865-0.928). Multivariate conditional logistic regression analysis revealed that KCNQ1 gene mRNA expression levels were positively associated with gout risk (OR=1.430, 95%CI: 1.171-1.747). Significant interactions were observed between KCNQ1 mRNA expression and seafood intake (OR=2.107, 95%CI: 1.175-3.779), KCNQ1 gene mRNA expression and uric acid levels (OR=2.373, 95%CI: 1.366-4.119), as well as between uric acid levels and seafood intake (OR=2.321, 95%CI: 1.159-4.678). Conclusion The expression levels of the KCNQ1 gene may increase the risk of gout and further increase the risk through interaction with seafood intake and uric acid levels.

Objective To establishing a chromatographic analysis method for therapeutic drug monitoring of fruquintinib by high-performance liquid chromatography （HPLC）. Methods The analysis was conducted using a Welch Ultimate XB-C₁₈ （4.6 mm×150 mm, 5 μm） column with the column temperature at 35℃. The flow rate was 1.0 ml/min and the detection wavelength was at 240 nm. The mobile phase consisted of acetonitrile and 10 mmol/L potassium dihydrogen phosphate （pH 3.15）= 40∶60（V∶V）. The internal standard substance was Apatinib．All plasma samples were extracted with ethyl acetate solution. Results The linearity of Fruquintinib in plasma was good within the range of 15.63-500.00 ng/ml （r=0.999 9）. The recoveries of the method were between 95%-110% with the RSD less than 10%. The extraction rates of the method were all higher than 97%. The stability tests met the relative requirements. Conclusion A HPLC method for the determination of Fruquintinib in human plasma was established. The method had good specialty, and could be used to detect the blood concentrations of Fruquintinib in clinical practice to improve the individualized medication．

Objective To screen for key genes and important pathways common for different etiologies of acute kidney injury(AKI)by pathway-associated deep neural network and multiple machine learning algorithms.Methods AKI microarray datasets GSE30718,GSE37838,GSE53769,GSE108113,GSE125779,GSE99325,and GSE174020 downloaded from the Gene Expression Omnibus(GEO)database were merged,including 60 kidney samples from AKI patients and 79 kidney samples from healthy controls.They were divided(8∶2)into training sets and test sets,and were used to train and evaluate pathway-associated deep neural network and 4 machine learning algorithms,including least absolute shrinkage and selection operator(LASSO),random forest(RF),support vector machine-recursive feature elimination(SVM-RFE),and extreme gradient boosting(XgBoost),to screen for common key genes and pathways of different etiologies of AKI.The downloaded datasets GSE99340 and GSE1563 were merged,including 43 kidney samples from AKI patients and 36 kidney samples from healthy controls,which were used as external validation sets for LASSO model and nomogram performance test based on the final screened genes.The pathway-associated deep neural network and machine learning algorithms were evaluated using receiver operating characteristic curves,precision,recall,accuracy,and F1-score.The immune cell infiltration characteristics were explored in AKI via cell-type identification by estimating relative subsets of RNA transcripts(CIBERSORT),and Pearson correlation coefficients were used to evaluate the correlation between the final screened common key genes and immune cell infiltration levels.Results The pathway-associated deep neural network trained by 5-fold cross validation produced an area under curve(AUC)of 0.914 5±0.007 0,a precision of 0.750 0±0.044 0,a recall of 0.923 1±0.048 0,an accuracy of 0.838 7±0.016 0,and an F1-score of 0.827 6±0.020 0 in the test set,yielding a robust and highly accurate classification performance for AKI,and identified key pathways and a subset of candidate genes.The 4 machine learning algorithms all achieved high discriminative performance for AKI in the test set with AUC≥0.860,precision≥0.750,recall≥0.800,and F1-score≥0.774,and screened 7 common key genes for AKI with different etiologies,including CD86,C-X-C motif chemokine ligand 10(CXCL10),dynamin 2(DNM2),proto-oncogene FOS,transcription factor 12(TCF12),VGF nerve growth factor inducible(VGF),and A kinase anchoring protein 5(AKAP5).Based on the final screened common key genes,the LASSO model had an AUC of 0.940 4 for the test set and an AUC of 0.944 4 for the external validation,and the model showed a very high discriminatory ability for the AKI,which demonstrated the overall regulatory performance of the genes.The nomogram constructed based on the screened 7 genes demonstrated the highest classification performance with an AUC of 0.928 9,validating the outstanding contribution and overall action performance of the screened individual genes.Immune cell infiltration analysis showed that there were significant differences in B cells na?ve,mast cells activated,monocytes,macrophages M1,B cells memory,and dendritic cells activated between AKI samples and healthy control samples(all P＜0.05).Macrophages M1 and monocytes were positively correlated with CD86 and CXCL10,mast cells activated were positively correlated with FOS,and B cells na?ve were negatively correlated with CD86 and CXCL10(all P＜0.01).Mast cells activated were positively correlated with VGF and negatively correlated with CD86 and TCF12,while memory B cells were positively correlated with CD86(all P＜0.05).Conclusion Strategy combining pathway-associated deep neural network and multiple machine learning classifiers can mine high-value key genes from high-dimensional,complex and heterogeneous transcriptomic data as potential targets for therapeutic interventions in AKI.

Objective To investigate the biological function and potential mechanisms of long non-coding RNA(lncRNA)neurensin 2-antisense RNA 1(NRSN2-AS1)in liver cancer cells.Methods The Encyclopedia of RNA Interactomes(ENCORI)database was used to analyze the expression levels of NRSN2-AS1 in liver cancer tissues and normal tissues as well as its association with the prognosis of patients.Stable lncRNA NRSN2-AS1 cell lines,overexpressed or knockdown,were constructed.The effects of NRSN2-AS1 on tumor cell proliferation were explored using CCK-8 and colony formation assays.Transwell and wound healing assays were employed to examine the role of NRSN2-AS1 in tumor cell migration and invasion.The impact of NRSN2-AS1 on tumor cell aerobic glycolysis was assessed by measuring hexokinase activity,glucose uptake,ATP and etracellular lactate levels.Quantitative real-time PCR(qPCR)and Western blotting were used to evaluate the effects of NRSN2-AS1 on the mRNA and protein expression levels of hexokinase 2(HK2)in tumor cells.Results Analysis from the ENCORI database revealed that NRSN2-AS1 was upregulated in liver cancer tissues compared to normal tissues,and that high expressions of NRSN2-AS1 were closely associated with poor prognosis of patients.In vitro functional assays demonstrated that overexpression of NRSN2-AS1 promoted proliferation,migration,and invasion of liver cancer cells,and enhanced glycolysis levels while knockdown of NRSN2-AS1 inhibited these processes and suppressed glycolysis.Furthermore,overexpression of NRSN2-AS1 increased the mRNA and protein levels of HK2 while knockdown of NRSN2-AS1 decreased HK2 expression in liver cancer cells.Conclusion NRSN2-AS1 is highly expressed in liver cancer tissues,and it may promote liver cancer progression by enhancing HK2 expression and aerobic glycolysis.

Objective:To retrospectively analyze the treatment status of tyrosine kinase inhibitors (TKI) in newly diagnosed patients with chronic myeloid leukemia (CML) in China.Methods:Data of chronic phase (CP) and accelerated phase (AP) CML patients diagnosed from January 2006 to December 2022 from 77 centers, ≥18 years old, and receiving initial imatinib, nilotinib, dasatinib or flumatinib-therapy within 6 months after diagnosis in China with complete data were retrospectively interrogated. The choice of initial TKI, current TKI medications, treatment switch and reasons, treatment responses and outcomes as well as the variables associated with them were analyzed.Results:6 893 patients in CP ( n=6 453, 93.6%) or AP ( n=440, 6.4%) receiving initial imatinib ( n=4 906, 71.2%), nilotinib ( n=1 157, 16.8%), dasatinib ( n=298, 4.3%) or flumatinib ( n=532, 7.2%) -therapy. With the median follow-up of 43 ( IQR 22-75) months, 1 581 (22.9%) patients switched TKI due to resistance ( n=1 055, 15.3%), intolerance ( n=248, 3.6%), pursuit of better efficacy ( n=168, 2.4%), economic or other reasons ( n=110, 1.6%). The frequency of switching TKI in AP patients was significantly-higher than that in CP patients (44.1% vs 21.5%, P<0.001), and more AP patients switched TKI due to resistance than CP patients (75.3% vs 66.1%, P=0.011). Multi-variable analyses showed that male, lower HGB concentration and ELTS intermediate/high-risk cohort were associated with lower cytogenetic and molecular responses rate and poor outcomes in CP patients; higher WBC count and initial the second-generation TKI treatment, the higher response rates; Ph + ACA at diagnosis, poor PFS. However, Sokal intermediate/high-risk cohort was only significantly-associated with lower CCyR and MMR rates and the poor PFS. Lower HGB concentration and larger spleen size were significantly-associated with the lower cytogenetic and molecular response rates in AP patients; initial the second-generation TKI treatment, the higher treatment response rates; lower PLT count, higher blasts and Ph + ACA, poorer TFS; Ph + ACA, poorer OS. Conclusion:At present, the vast majority of newly-diagnosed CML-CP or AP patients could benefit from TKI treatment in the long term with the good treatment responses and survival outcomes.

ObjectiveTo systematically analyze international disability data policies and standards, as well as the application of disability data in policymaking, service optimization and inclusive social development, and to clarify the importance of international disability data policies, standard systems and disability data application for the development of disability-related services. MethodsThrough the analysis of policy content and research on the data standard system, this study explored the disability data policy framework, standard system and technical path of data interoperability and integration of international organizations including the United Nations (United Nations Statistics Division and United Nations Children's Fund), World Health Orgnization, United Nations Educational Scientific and Cultural Organization, and International Labour Organization. ResultsInternational organizations established disability data policy frameworks based on their respective mandates, involving data and service development, data standards, data governance, and data application. The international community established a disability data standard system for disability data collection, coding, exchange, interoperability, statistical analysis, data fusion and application. Building a standardized disability data standard system based on the framework of international health classification standards such as International Classification of Functioning, Disability and Health, and International Classification of Diseases, Eleventh Revision would ensure the consistency of cross-national disability data policies, and the interoperability and comparability of disability data, promoting the development of data-driven disability-related services, accurately identifying the service needs of people with disabilities, and optimizing service provision, thereby improving the quality of life and social participation of people with disabilities. ConclusionThe construction and implementation of international disability data policies and data standards have promoted the standardization and interoperability of disability data. With the application of big data, artificial intelligence and blockchain technologies in disability data, international cooperation and cross-industry data fusion in the field of disability data have been promoted, further promoting the development of data-driven disability services, ensuring equal opportunities for people with disabilities to enjoy service resources, and improving the coverage and quality of disability services.