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.

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.

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 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 explore the syndrome differentiation rules of the Yin Dan and Yang Dan method,and summarize Professor Yang Zhimin's valuable experience in the treatment of insomnia.Methods The case data of 11390 insomnia patients treated by Professor Yang Zhimin was retrospectively analyzed,and the distribution of symptoms,signs,pathogenesis and syndrome differentiation rules of insomnia patients was examined based on latent structure analysis.Result A total of 44 symptoms and signs can explain the overall situation of insomnia patients,showing the characteristics of both excess and deficiency,cold and heat.A total of 36 hidden categories(symptom clusters and pathogenesis)was composed.Symptoms and signs such as fear of wind and cold can explain the overall situation of insomnia patients with cold syndrome due to weakness of Wei Qi,symptoms and signs such as pale eyelid can explain the overall situation of insomnia patients with heat syndrome due to weakness of Ying Xve,and established diagnostic criteria for insomnia patients with cold syndrome due to weakness of Wei Qi and heat syndrome due to weakness of Ying Xve.Conclusion Based on the Yang Dan and Yin Dan method to distinguish and treat insomnia from the perspective of disharmony between Ying and Wei,it is in line with the basic understanding of the pathogenesis of insomnia in the classics of traditional Chinese medicine.The pattern differentiation rules obtained through the latent structure analysis method are helpful to summarize valuable clinical experience and provide a certain reference and basis for clinical practice.

Objective To explore the syndrome differentiation rules of the Yin Dan and Yang Dan method,and summarize Professor Yang Zhimin's valuable experience in the treatment of insomnia.Methods The case data of 11390 insomnia patients treated by Professor Yang Zhimin was retrospectively analyzed,and the distribution of symptoms,signs,pathogenesis and syndrome differentiation rules of insomnia patients was examined based on latent structure analysis.Result A total of 44 symptoms and signs can explain the overall situation of insomnia patients,showing the characteristics of both excess and deficiency,cold and heat.A total of 36 hidden categories(symptom clusters and pathogenesis)was composed.Symptoms and signs such as fear of wind and cold can explain the overall situation of insomnia patients with cold syndrome due to weakness of Wei Qi,symptoms and signs such as pale eyelid can explain the overall situation of insomnia patients with heat syndrome due to weakness of Ying Xve,and established diagnostic criteria for insomnia patients with cold syndrome due to weakness of Wei Qi and heat syndrome due to weakness of Ying Xve.Conclusion Based on the Yang Dan and Yin Dan method to distinguish and treat insomnia from the perspective of disharmony between Ying and Wei,it is in line with the basic understanding of the pathogenesis of insomnia in the classics of traditional Chinese medicine.The pattern differentiation rules obtained through the latent structure analysis method are helpful to summarize valuable clinical experience and provide a certain reference and basis for clinical practice.

Objective To investigate the protective effect of curcumin (Cur) against arsenic-induced neuroimmune toxicity and the underlying molecular mechanisms in vivo. Methods Eighty SPF female C57BL/6 mice were randomly assigned to four groups: a control group, an arsenic-treated group, a Cur-treated group and an arsenic+Cur group, with 20 mice in each group. The control group received distilled water; the arsenic-treated group was given 50 mg/L NaAsO₂ in the drinking water; the Cur-treated group was gavaged with 200 mg/kg of curcumin for 45 days; and the arsenic+Cur group received distilled water and was gavaged with 200 mg/kg of curcumin. Y-maze and Morris water maze experiments were conducted to assess the learning and memory ability of the mice. Western blot analysis was used to detect protein levels of blood-brain barrier tight junction proteins zonula occludens protein 1(ZO-1) and claudin 5, T lymphocyte subpopulation CD4 and CD8, Janus kinase 2/signal transducer and activator of transcription 3 (JAK2/STAT3) signaling pathway-related molecules JAK2 and STAT3. Real-time PCR was used to assess the mRNA levels of CD4⁺ T lymphocyte subsets type 1 T helper (Th1), Th2, Th17 and regulatory T cells (Treg) transcription factors and cytokines in hippocampus. Results Compared with the control group, the arsenic-treated group showed a significantly decreased correct rate, increased latency to reach the platform on the third and fifth days, and reduced times of crossing the platform. The expression of ZO-1 and claudin 5 protein decreased significantly, and the protein levels of CD4 and CD8 were up-regulated. The mRNA levels of Th1, Th17, and Treg transcription factor T-box expressed in T cell(T-bet), retinoid-related orphan receptor gamma t(RORγt), and forkhead box protein 3(FOXP3) in the arsenic-treated group were decreased. Th1 and Th17 cytokines interferon γ(IFN-γ) and interleukin 17(IL-17) were markedly decreased. In contrast, the mRNA levels of the Th2 transcription factor GATA binding protein 3(GATA3) and cytokine IL-4 in arsenic-treated group were higher than those in the control group. Furthermore, the protein levels of phosphorylated JAK2 (p-JAK2) and phosphorylated STAT3 (p-STAT3) increased. Compared with the arsenic-treated group, the arsenic+Cur group demonstrated a significantly increased correct rate, decreased latency to reach the platform on the third and fifth days, and increased times of crossing the platform. The protein expression levels of ZO-1 and claudin 5 increased significantly, and the protein levels of CD4 and CD8 were down-regulated. The mRNA levels of Th2 transcription factor GATA3 and cytokine IL-4 were decreased. The mRNA levels of Th17 transcription factor RORγt and cytokine IL-17 were markedly increased. Furthermore, the protein levels of p-JAK2 and p-STAT3 decreased. Conclusion Through inhibiting the JAK2/STAT3 signaling pathway, curcumin could improve arsenic-induced decline in learning and memory abilities in mice, reverse the destruction of blood-brain barrier permeability of innate immune system components in arsenic-exposed mice, and antagonize arsenic-induced increase in the number of renal CD4 and CD8 molecule as well as the imbalance of CD4⁺ T lymphocyte subsets (Th1, Th2, Th17 and Treg), ultimately counteracting arsenic-induced neurotoxicity.
Animals ; Janus Kinase 2/genetics* ; STAT3 Transcription Factor/genetics* ; Female ; Curcumin/pharmacology* ; Signal Transduction/drug effects* ; Mice, Inbred C57BL ; Mice ; Arsenic/toxicity*

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.

OBJECTIVE To evaluate the ameliorative effect of Juanbi Tongluo Oral Liquid on sciatic neuronal apoptosis in Type 2 diabetic model mice.METHODS The Type 2 diabetes mouse model was established by feeding with high-fat and high-sugar diet combined with intraperitoneal injection of streptozotocin(STZ).The mice were treated with metformin(200 mg·kg-1·d-1),low dose(3.9 g·kg-1·d-1)and high dose(7.8 g·kg-1·d-1)Juanbi Tongluo Oral Liquid for 35 days.The latency of response to thermal stimu-lation was detected by hot plate,and the values of blood glucose insulin and glycosylated hemoglobin were determined.Biochemical kits were used to detect the expression of serum total cholesterol(T-CHO),triglyceride(TG),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),superoxide dismutase(SOD),catalase(CAT),glutathione peroxidase(GSH-Px)and oxidation product malondialdehyde(MDA).The expression of tumor cytokine α(TNF-α),interleukin(IL)-1β,IL-6 and IL-10 in serum of mice were detected by ELISA method;the injury of sciatic nerve of model mice was detected by HE staining;the apoptosis of sciatic nerve was detected by TUNEL method;and the expression of neurofilament protein NF-L,apoptosis(cleaved Caspase-3,Caspase-3)and oxidative stress(Nrf2,HO-1)signal pathway proteins in sciatic nerve of model mice were detected by Western blot method.RESULTS High-dose Juanbi Tongluo Oral Liquid shortened the latent period of heat pain response in model mice(P<0.01);downregulated fasting blood glucose and glycated hemoglobin(P<0.01),and upregulated fasting plasma insulin in model mice(P<0.01);downregulated serum T-CHO,TG,and LDL-C levels(P<0.01),upregulated HDL-C levels(P<0.01);downregulated serum pro-inflammatory factors TNF-α,IL-1β and IL-6 levels(P<0.05),upregulated the anti-inflammatory cyto-kine IL-10 level(P<0.01);inhibited sciatic nerve structural damage and apoptosis(P<0.05);downregulated the ratio of cleaved Caspase-3 to Caspase-3 in the apoptosis pathway(P<0.01);upregulated the expression of neurofilament proteins NF-L and NF-H in sciatic nerve tissue(P<0.05,P<0.01);and upregulated the expression of antioxidant stress proteins Nrf2 and HO-1(P<0.01).CONCLUSION Juanbi Tongluo Oral Liquid can improve sciatic neuronal apoptosis of Type 2 diabetic mice,which may be related to its effect on improving oxidative stress and inflammatory stress.