This study established the HPLC fingerprints, characteristic chromatograms, and a multi-component content determination method for Bidens bipinnata and B. biternata. The chemical pattern recognition analysis was then employed to clarify the characteristic indexes of quality differences between the two original plants of Bidentis Herba, providing a reference for establishing the quality standards of Bidentis Herba. HPLC was launched on an Agilent Poroshell 120 EC-C_(18) chromatographic column(4.6 mm×250 mm, 4 μm) by gradient elution with a mobile phase of 0.1% aqueous phosphoric acid-acetonitrile at a flow rate of 0.7 mL·min~(-1), detection wavelength of 270 nm, column temperature of 25 ℃, and an injection volume of 5 μL. The similarity between the fingerprints of 18 batches of Bidentis Herba samples and the common pattern(R) ranged from 0.572 to 0.933. A total of 23 chromatographic peaks were calibrated. Through comparison with the reference substances, six components(neochlorogenic acid, chlorogenic acid, isochlorogenic acid A, isochlorogenic acid B, rutin, and hyperoside) were identified and subjected to quantitative analysis. The characteristic fingerprints of B. bipinnata and B. biternata were calibrated with 20 and 17 characteristic peaks, respectively. Among them, peaks 8, 9, 22, and 23 were the characteristic peaks of B. bipinnata, and peak 7 was the characteristic peak of B. biternata, which can be used to distinguish the two original plants of Bidentis Herba. The relative standard deviation of the content of the above-mentioned six components ranged from 36% to 123%. The cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis(OPLS-DA) classified the 18 batches of Bidentis Herba samples into two categories. Additionally, through the analysis of variable importance in projection(VIP) under OPLS-DA, three characteristic indexes, rutin, isochlorogenic acid A, and isochlorogenic acid B, were identified. The analytical method established in this study can comprehensively evaluate the consistency of Bidentis Herba samples derived from different original plants, specifically identify the differential components between them, and effectively distinguish the two original plants of Bidentis Herba, providing a basis for the differentiation between different original plants and the quality control of Bidentis Herba.
Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Quality Control ; Bidens/chemistry*

Objective To explore the prognostic value of glycolysis-related genes in colorectal cancer (CRC) patients and formulate a novel glycolysis-related prognostic risk model. Methods Single-cell and bulk transcriptomic data of CRC patients, along with clinical information, were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Glycolysis scores for each sample were calculated using single-sample Gene Set Enrichment Analysis (ssGSEA). Kaplan-Meier survival curves were generated to analyze the relationship between glycolysis scores and overall survival. Novel glycolysis-related subgroups were defined among the cell type with the highest glycolysis scores. Gene enrichment analysis, metabolic activity assessment, and univariate Cox regression were performed to explore the biological functions and prognostic impact of these subgroups. A prognostic risk model was built and validated based on genes significantly affecting the prognosis. Gene Set Enrichment Analysis (GSEA) was conducted to explore differences in biological processes between high- and low-risk groups. Differences in immune microenvironment and drug sensitivity between these groups were assessed using R packages. Potential targeted agents for prognostic risk genes were predicted using the Enrichr database. Results Tumor tissues showed significantly higher glycolysis scores than normal tissues, which was associated with a poor prognosis in CRC patients. The highest glycolysis score was observed in epithelial cells, within which we defined eight novel glycolysis-related cell subpopulations. Specifically, the P4HA1⁺ epithelial cell subpopulation was associated with a poor prognosis. Based on signature genes of this subpopulation, a six-gene prognostic risk model was formulated. GSEA revealed significant biological differences between high- and low-risk groups. Immune microenvironment analysis demonstrated that the high-risk group had increased infiltration of macrophages and tumor-associated fibroblasts, along with evident immune exclusion and suppression, while the low-risk group exhibited higher levels of B cell and T cell infiltration. Drug sensitivity analysis indicated that high-risk patients were more sensitive to Abiraterone, while low-risk patients responded to Cisplatin. Additionally, Valproic acid was predicted as a potential targeted agent. Conclusion High glycolytic activity is associated with a poor prognosis in CRC patients. The novel glycolysis-related prognostic risk model formulated in this study offers significant potential for enhancing the diagnosis and treatment of CRC.
Humans ; Colorectal Neoplasms/pathology* ; Glycolysis/genetics* ; Prognosis ; Transcriptome ; Tumor Microenvironment/genetics* ; Gene Expression Profiling ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Male ; Female ; Kaplan-Meier Estimate

OBJECTIVES: To investigate the current status and influencing factors of quality of life in children and adolescents with type 1 diabetes (T1DM) in Xinjiang. METHODS: A convenience sampling method was used to select 259 children with T1DM and their primary caregivers who attended three tertiary hospitals in Xinjiang from January 2023 to February 2024. The Pediatric Quality of Life Inventory^TM Version 4.0 Generic Core Scales (PedsQL^TM4.0) and Pediatric Quality of Life Inventory^TM Version 3.2 Diabetes Module (PedsQL^TM3.2-DM) were used to assess the quality of life of the children. Information on family demographics, caregiver burden, and caregiving ability was also collected. Multiple linear regression analysis was employed to identify factors associated with the quality of life of the children. RESULTS: The scores for PedsQL^TM4.0 and PedsQL^TM3.2-DM were 77±16 and 71±16, respectively. Both were negatively correlated with caregiver burden (P<0.05) and positively correlated with caregiving ability (P<0.05). Multiple linear regression analysis indicated that caregiver burden, caregiving ability, family income, and parent-child relationship were significantly associated with generic quality of life (P<0.05), whereas caregiver burden, caregiving ability, disease duration, place of residence, and glycated hemoglobin level were significantly associated with diabetes-specific quality of life (P<0.05). CONCLUSIONS The overall quality of life of children and adolescents with T1DM in Xinjiang is relatively low. The quality of life is influenced by a combination of factors including family caregiver burden, caregiving ability, family income, parent-child relationship, disease duration, place of residence, and glycated hemoglobin level. Strategies to improve quality of life should consider the combined impact of individual disease characteristics and family factors.
Humans ; Quality of Life ; Diabetes Mellitus, Type 1/psychology* ; Adolescent ; Child ; Male ; Female ; Caregivers/psychology* ; Child, Preschool ; Linear Models

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

OBJECTIVE: We aimed to investigate the patterns of fasting blood glucose (FBG) trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers. METHODS: The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort (TGOC) between 2017 and 2022. A group-based trajectory model was used to identify the FBG trajectories. Environmental risk scores (ERS) were constructed using regression coefficients from the occupational hazard model as weights. Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories. RESULTS: FBG trajectories were categorized into three groups. An association was observed between high temperature, noise exposure, and FBG trajectory ( P < 0.05). Using the first quartile group of ERS1 as a reference, the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90 and 2.21 times, respectively (odds ratio [ OR] = 1.90, 95% confidence interval [ CI]: 1.17-3.10; OR = 2.21, 95% CI: 1.09-4.45). CONCLUSION An association was observed between occupational hazards based on ERS and FBG trajectories. The risk of FBG trajectory levels increase with an increase in ERS.
Humans ; Male ; Adult ; Blood Glucose/analysis* ; China ; Prospective Studies ; Occupational Exposure/adverse effects* ; Risk Factors ; Middle Aged ; Steel ; Fasting/blood* ; Metal Workers ; East Asian People

Objective To develop a portable medical oxygen purity analyzer capable of real-time detection of multi-compo-nent gases in medical oxygen or aviation oxygen to ensure the safety of oxygen consumption.Methods The portable medical oxygen purity analyzer with STM3F103RC as the main controller involved in a management module,an oxygen detection module,a carbon monoxide/chlorine detection module,a flow/carbon dioxide detection module and a dew point detection module as its hardware components,which had its human-machine interface programmed with DGUS supervision,control and data acquisition(SCADA)software and system program developed with C language under Keil MDK environment.The performance verification of the analyzer developed was carried out in terms of oxygen detection error and stability and errors for measuring carbon monoxide,chlorine and carbon dioxide.Results The analyzer showed high precision when used to detect oxygen with high volume fraction,with long-term stability and the absolute error restrained within±0.1％;the erros for measuring carbon monoxide,chlorine and carbon dioxide were all limited within±5％FS to meet the desired requirements.Condusion The portable medical oxygen purity analyzer developed with high precision,stability and portability can be used for detection of medical oxygen and aviation oxygen.[Chinese Medical Equipment Journal,2024,45(3):36-40]

Objective To develop a low-oxygen mixed gas generator to make up for the deficiencies of low-pressure chambers and load-resistant hypoxia trainers during pilot hypoxia tolerance testing.Methods The device prepared the low-oxygen gas with the principle of gas separation,which was composed of a Sunsource OLF1100D-220AF air compressor,a SMC IDG75SAM4-03 filter,a buffer tank,an AIR Products PA3010 integrated assembly,a control box,sensors and regulators.The sensors included the pressure sensor,flow sensor,concentration sensor and dew point temperature sensor,and the control box consisted of a main control board,a power supply module,a transmission module,a communication module,a display and a housing.The embedded control software of the device was developed with KEIL 5 and C++.Results The device developed prepared the low-oxygen gas with the volume fraction being 4％to 18％and the maximum error of volume fraction being 0.05％,and the main components of the prepared gas met the technical requirements of medical oxygen as stipulated in GB 8982-2009 Oxygen supplies for medicine and aircraft breathing.Conclusion The low-oxygen gas prepared by the device has its volume fraction precisely controlled and can be used for hypoxia tolerance testing and acclimation training for pilots.[Chinese Medical Equipment Journal,2024,45(7):24-28]

With the continuous development of science and technology,environmental pollution has become increasingly severe,which makes environmental monitoring crucial.In recent years,electrochemical sensing strategy has attracted wide attention due to its advantages such as low cost,easy operation and fast detection speed.However,the detection performance still faces many challenges such as low sensitivity,high limit of detection and poor selectivity.Metal-organic frameworks(MOFs)is a kind of ordered network porous crystal formed by the coordination bond of organic ligands and metal ions/ion clusters,which can be used to prepare high-performance electrode materials for construction of electrochemical sensors because of their characteristics of large specific surface area,adjustable pore size and diverse structure.However,the poor conductivity and stability of MOFs result in poor electrochemical detection performance,which seriously limits their extensive applications in the field of electrochemistry.Combining MOFs with other functional materials can not only overcome the inherent defects of MOFs but also have the superior properties of both MOFs and functional materials,and the synergistic effect between MOFs and functional materials is conducive to improving the detection performance.Therefore,MOFs composites have been widely used in the electrochemical detection of environmental pollutants.This paper reviewed the applications progress of electrochemical sensors based on MOFs composites(MOFs combine with carbon materials,conductive polymers,metal nanoparticles or MOFs)in detection of environmental pollutants(Pesticides,heavy metal ions,phenolic compounds and nitrites)in the past five years.The prospects and challenges of electrochemical sensors based on MOFs composites for detection of environmental pollutants were also discussed.

Objective To explore the therapeutic effect and mechanism of matrine on diabetes nephropathy in rats based on the signal pathway of high mobility group box-1(HMGB1)/Toll like receptor 4(TLR4).Methods The rats with diabetes nephropathy were fed with high fat and high sugar and injected with streptozocin(STZ)solution.The rats were grouped into control group,model group,matrine group(200 mg·kg-1),and HMGB1 inhibitor group(glycyrrhizic acid,10 mg·kg-1),after anesthesia,blood samples were collected to detect blood glucose and lipid levels,renal function indicators,and inflammatory cytokines levels,respectively.Hematoxylin eosin staining,periodic acid-Schiff staining,and Masson staining were applied to observe the pathological changes of renal tissue;the levels of Th1 and Th2 cells in rat spleen tissue were detected by flow cytometry;Western blot was applied to detect the expression of HMGB1/TLR4 pathway related proteins.Results The levels of fasting blood-glucose(FBG)in control group,model group,matrine group and glycyrrhizic acid group were(5.15±0.61),(26.24±2.15),(6.10±0.85)and(5.85±0.74)mmol·L-1,respectively;total cholesterol(TC)levels were(1.56±0.14),(4.15±0.36),(1.89±0.15)and(1.82±0.13)mmol·L-1,respectively;triacylglycerol(TG)levels were(1.46±0.14),(11.01±1.00),(3.04±0.21)and(3.15±0.18)mmol·L-1,respectively;serum creatinine(SCr)levels were(23.45±3.26),(69.78±7.32),(38.71±5.45)and(41.36±6.02)mmol·L-1,respectively;blood urea nitrogen(BUN)levels were(6.27±1.03),(17.02±1.72),(9.32±1.04)and(8.35±1.34)μmol·L-1,respectively;tumor necrosis factor α(TNF-α)levels were(102.35±14.68),(263.78±18.63),(134.02±11.47)and(122.35±15.04)pg·mL-1,respectively;Th1/Th2 cell ratios were 2.71±0.45,14.23±1.01,4.38±0.64 and 4.03±0.49,respectively;the relative expression levels of HMGB1 protein were 0.25±0.03,1.33±0.16,0.64±0.06,0.61±0.08,respectively;the relative expression levels of TLR4 protein were 0.33±0.06,1.25±0.18,0.51±0.07,0.47±0.09,respectively.Treatment group compared with the control group,the differences of the above indexes were statistically significant(all P＜0.05);Matrine group and glycyrrhizic acid group were compared with model group,and the differences were statistically significant(all P＜0.05).Conclusion Matrine can alleviate renal inflammation and pathological damage in diabetes nephropathy rats by regulating the balance of Th1/Th2 cells,which may be related to inhibiting the activation of HMGB1/TLR4 signaling pathway.