ObjectiveThis study aims to reveal the mechanism of liver and kidney injuries caused by Dictamni Cortex and its interrelationship by metabonomics analysis of liver and kidney via ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS）. MethodsThe content of the marker compounds of Dictamni Cortex was measured by high-performance liquid chromatography （HPLC） to carry out quality control. Sprague Dawley （SD） rats were randomly divided into a blank group （normal saline）， an administration group （0.9， 2.7， 8.1 g·kg^-1）， and a high-dose withdrawal control group， with eight rats in each group. Continuous administration was performed once daily for 28 days. The liver and kidney injuries caused by each administration group were assessed by organ indices， pathological observations， and serum and plasma biochemical indices measured by enzyme-linked immunosorbent assay （ELISA）. The potential biomarkers of liver and kidney injuries caused by Dictamni Cortex were screened， and pathway enrichment analysis and correlation analysis were performed based on UPLC-Q-TOF-MS. ResultsCompared with the blank group， both the medium- and low-dose groups showed insignificant damage to the liver and kidney of rats. The high-dose group exhibited the most serious damage， and the level of liver and kidney function indices ［alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， creatinine （Cr）， and blood urea nitrogen （BUN）］ and serum inflammatory indices （［interleukin 1β （IL-1β）， IL-6， and tumor necrosis factor-α （TNF-α）］ in the serum were significantly changed （P<0.01）. The liver and kidney metabolism pathways and differential metabolites were quite different. Among them， phenylalanine metabolism， niacin and nicotinamide metabolism， and glycerophospholipid metabolism were common pathways. Correlation analysis of differential metabolites showed that there were significant correlations among disorders of 4′-Phosphopantothenoylcysteine， PC （16∶0/15∶0）， phenylethylamine， arachidonic acid， and linoleic acid in liver and kidney tissue. ConclusionThe decoction of Dictamni Cortex can cause liver and kidney injuries， and its mechanism may be related to oxidative stress and lipid metabolism disorders. The correlation of differential metabolites indicates the interaction between liver and kidney injuries.

ObjectiveTo explore the mechanism of the immunotoxicity induced by dictamnine （DIC） in rats and the recovery effect after drug withdrawal by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry， thereby providing a theoretical basis for elucidating the toxic mechanism of DIC. MethodsSD rats were randomized into blank （normal saline）， DIC （10 mg·kg^-1）， and DIC withdrawal （recovery period） groups （n=8）. The rats were continuously treated for 7 days， once a day， and the body weight and organ weight were recorded. The levels of interleukin-1 （IL-1）， IL-6， and tumor necrosis factor-α （TNF-α） in the serum and immunoglobulin A （IgA）， immunoglobulin G （IgG）， and immunoglobulin M （IgM） in the spleen were determined by enzyme-linked immunosorbent assay. Hematoxylin-eosin staining was used to observe the pathological changes in the spleen. ultra performance liquid chromatography quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS） was employed to screen the potential biomarkers of immune inflammation caused by DIC， and pathway enrichment analysis and correlation analysis were performed. The mRNA levels of IL-1β， TNF-α， lysophosphatidylcholine acyltransferase 2 （LPCAT2）， and farnesoid X receptor （FXR） in the serum were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with the blank group， the DIC group showed elevated levels of IL-1β， IL-6， and TNF-α in the serum （P<0.01）， and the DIC withdrawal group showcased lowered levels of IL-1β， IL-6， and TNF-α in the serum （P<0.01）. The levels of IgA， IgG， and IgM in the spleen of rats in the DIC group were decreased （P<0.01）， while those in the DIC withdrawal group were recovered （P<0.05， P<0.01）. Untargeted metabolomics of the serum and spleen screened out 14 common differential metabolites and 14 common metabolic pathways. The Spearman correlation analysis between differential metabolites and inflammatory factors identified PC （32∶0）， LysoPC （20∶4/0∶0）， LysoPC （P-18∶0/0∶0）， taurochenodeoxycholic acid， taurocholic acid， LysoPC ［20∶5（5Z，8Z，11Z，14Z，17Z）/0∶0］， chenodeoxycholic acid， arachidonic acid， LysoPC （18∶0/0∶0）， LysoPC （15∶0/0∶0）， LysoPC （16∶0/0∶0）， and LysoPC （17∶0/0∶0） as the biomarkers of immunotoxicity induced by DIC in SD rats. In the process of immunotoxicity caused by DIC， lipid metabolism disorders such as glycerophospholipid metabolism， primary bile acid metabolism， and arachidonic acid metabolism were enriched， which was consistent with the DIC-induced inflammatory factors and pathological characteristics of the spleen. Compared with the blank group， the DIC group exhibited up-regulated mRNA levels of IL-1β， TNF-α， LPCAT2， and FXR （P<0.01）， and the up-regulation was decreased in the withdrawal group （P<0.01）. ConclusionDIC can lead to immune and inflammatory disorders. DIC withdrawal can regulate the expression of biomarkers related to serum and spleen metabolites， regulate the inflammatory metabolic pathway， reduce the inflammation level， and alleviate the metabolic disorders， thus attenuating the potential toxicity induced by DIC.

Objective: The study aims to investigate the impact of moderate intensity gymnastics on the development of executive function in children aged 5-6, thereby providing a theoretical foundation for exercise interventions targeting executive function. Methods: A total of 63 preschool children, randomly seleted from 3 senior classes in a private kindergarten in Shangqiu, were randomly allocated to the intervention group ( n =31) and control group ( n =32). Children in the intervention group participated in 60 minute gymnastics at a moderate intensity, three times per week, for a total duration of 12 weeks. Concurrently, myzone technology was utilized to monitor exercise intensity throughout the entire intervention period. Children in the control group maintained their regular activities. Inhibitory control (Flanker task), working memory (Empty house task), and cognitive flexibility (Dots task) were assessed before and after the experiment. Results: There was no statistically significant difference in the performance of inhibitory control, working memory, and cognitive flexibility tasks between the two groups of children before intervention ( P >0.05) .The results of covariance analysis revealed significant differences in reaction time [(782.88±24.29，805.13±23.74；719.90±119.99， 833.55± 177.87；1 042.39±72.75，1 091.29±49.42) ms] and accuracy[(73.86±7.26)%，(67.02±8.22)%;(86.36±7.63)%，( 80.50± 9.39 )%;(76.45±9.48)%，(69.59±7.66)%] across inhibitory control, working memory, and cognitive flexibility between the intervention group and the control group ( F =6.84, 4.50，4.87, 6.11, 3.74 , 5.06 , P <0.05). The intervention effect exhibited modest effects( d =0.17-0.74). Conclusions Moderate intensity gymnastics can make modest or moderate effect on improving children s executive function. Brain imaging technology can be incorporated into future research designs to investigate the underlying mechanisms of gymnastics impact on the brain structure and executive function in young children.

Children and adults differ significantly in physiology,biochemistry and immune function,which leads to sig-nificant differences in blood transfusion strategies between children and adults.To guide the clinical transfusion practice of pediatric patients and improve the prognosis of children,the National Health Commission organized the formulation and re-lease of the health industry standard Guideline for Pediatric Transfusion(WS/T 795-2022).This paper will briefly introduce some concepts that help understand of the Standard and the preparation process of the Standard,and explain and interpret the preparation of the"scope","general provisions"and"factors to consider"of the Standard,hoping to contribute to the understanding and implementation of the Standard.

Background::Total human immunodeficiency virus (HIV) DNA and integrated HIV DNA are widely used markers of HIV persistence. Droplet digital polymerase chain reaction (ddPCR) can be used for absolute quantification without needing a standard curve. Here, we developed duplex ddPCR assays to detect and quantify total HIV DNA and integrated HIV DNA.Methods::The limit of detection, dynamic ranges, sensitivity, and reproducibility were evaluated by plasmid constructs containing both the HIV long terminal repeat (LTR) and human CD3 gene (for total HIV DNA) and ACH-2 cells (for integrated HIV DNA). Forty-two cases on stable suppressive antiretroviral therapy (ART) were assayed in total HIV DNA and integrated HIV DNA. Correlation coefficient analysis was performed on the data related to DNA copies and cluster of differentiation 4 positive (CD4 +) T-cell counts, CD8 + T-cell counts and CD4/CD8 T-cell ratio, respectively. The assay linear dynamic range and lower limit of detection (LLOD) were also assessed. Results::The assay could detect the presence of HIV-1 copies 100% at concentrations of 6.3 copies/reaction, and the estimated LLOD of the ddPCR assay was 4.4 HIV DNA copies/reaction (95% confidence intervals [CI]: 3.6-6.5 copies/reaction) with linearity over a 5-log 10-unit range in total HIV DNA assay. For the integrated HIV DNA assay, the LLOD was 8.0 copies/reaction (95% CI: 5.8-16.6 copies/reaction) with linearity over a 3-log 10-unit range. Total HIV DNA in CD4 + T cells was positively associated with integrated HIV DNA ( r = 0.76, P <0.0001). Meanwhile, both total HIV DNA and integrated HIV DNA in CD4 + T cells were inversely correlated with the ratio of CD4/CD8 but positively correlated with the CD8 + T-cell counts. Conclusions::This ddPCR assay can quantify total HIV DNA and integrated HIV DNA efficiently with robustness and sensitivity. It can be readily adapted for measuring HIV DNA with non-B clades, and it could be beneficial for testing in clinical trials.

Objective:To investigate the effect and mechanism of isorhynchophylline (IRN) on angiotensin Ⅱ(Ang Ⅱ)-induced cardiac hypertrophy.Methods:H9c2 cells were co-cultured with Ang Ⅱ and different concentrations of IRN (0, 5, 10, 25, 50 μmol/L). The cell surface area and mRNA levels of cardiac hypertrophy markers atrial natriuretic peptide (ANP), brain natriuretic peptide (BNP) and β-myosin heavy chain (β-MHC) were detected to elucidate the effect of IRN on myocardial hypertrophy and the most effective concentration. H9c2 cells were co-cultured with Ang Ⅱ and IRN (25 μmol/L) at different times (0, 6, 12, 24 h) to elucidate the most effective time of inhibition. The phosphorylation levels of the signaling pathway were detected, and the effects of IRN and Akt inhibitor MK2206 on the phosphorylation levels of the signaling pathway were further explored to elucidate the underlying mechanisms.Results:Compared with the control group, the surface area of H9c2 cells, and the mRNA expression of myocardial hypertrophy markers ANP, BNP and β-MHC were significantly increased (all P<0.05). Pretreated with different concentrations of IRN (5, 10, 25, 50 μmol/L) could inhibit the increase in cell surface area induced by AngⅡ (all P<0.05), especially at the concentration of 25 μmol/ L ( P<0.01). IRN could time-dependently inhibit AngⅡ-induced activation of ANP, BNP, β-MHC mRNA (all P<0.05). AngⅡ caused increased phosphorylation levels of Akt, GSK3β, mTOR and FOXO3a. IRN could block AngⅡ-induced phosphorylation of the Akt signaling pathway. Conclusion:IRN attenuates AngⅡ-induced cardiomyocyte hypertrophy by inhibiting the Akt signaling pathway.

Purpose: Radiation-induced dermatitis (RD) is a common side-effect of therapeutic ionizing radiation that can severely affect patient quality of life. This study aimed to develop a risk prediction model for the occurrence of RD in patients with cervical carcinoma undergoing chemoradiotherapy using electronic medical records (EMRs). Methods: Using EMRs, the clinical data of patients who underwent simultaneous radiotherapy and chemotherapy at a tertiary cancer hospital between 2017 and 2022 were retrospectively collected, and the patients were divided into two groups: a training group and a validation group. A predictive model was constructed to predict the development of RD in patients who underwent concurrent radiotherapy and chemotherapy for cervical cancer. Finally, the model's efficacy was validated using a receiver operating characteristic curve. Results: The incidence of radiation dermatitis was 89.5% (560/626) in the entire cohort, 88.6% (388/438) in the training group, and 91.5% (172/188) in the experimental group. The nomogram was established based on the following factors: age, the days between the beginning and conclusion of radiotherapy, the serum albumin after chemoradiotherapy, the use of single or multiple drugs for concurrent chemotherapy, and the total dose of afterloading radiotherapy. Internal and external verification indicated that the model had good discriminatory ability. Overall, the model achieved an area under the receiver operating characteristic curve of .66. Conclusions The risk of RD in patients with cervical carcinoma undergoing chemoradiotherapy is high. A risk prediction model can be developed for RD in cervical carcinoma patients undergoing chemoradiotherapy, based on over 5 years of EMR data from a tertiary cancer hospital.

In recent years, the prevalence of gestational diabetes mellitus (GDM) has significantly increased, leading to various adverse outcomes for mothers and their offspring. Early diagnosis and good blood glucose control can significantly improve pregnancy outcomes. Currently, the diagnosis of GDM mainly relies on the oral glucose tolerance test (OGTT), but there are many limitations in clinical application. The new biological marker glycosylated CD59 is a glycosylation product of complement regulatory proteins that can stably exist in body fluids and is linearly related to blood glucose levels, which has the advantages of simple testing and good reproducibility, and has been developed into a stable reagent kit. It has shown good value in the early diagnosis, standard diagnosis, and prediction of pregnancy outcomes of GDM.

Objective To analyze the mechanism of action of seaweed-kunbu in the treatment of breast cancer through network pharmacology. Methods The active ingredients and their targets of seaweed-kunbu were retrieved through the TCMSP database. Relevant targets for breast cancer were obtained through the GeneCards and OMIM databases, and "drug-disease target" network diagram was constructed using Cytoscape software. Protein-protein interaction (PPI) network analysis was performed using the String platform. Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using R language. Molecular docking technology was used to verify the binding ability of key compounds to targets, and functional verification was carried out through in vitro experiments. Results A total of 11 effective compounds were obtained from seaweed-kunbu in this study, among which 10 were related to breast cancer. There were 150 highly relevant intersecting targets between seaweed-kunbu and breast cancer, and 10 core genes including Serine/threonine kinase 1 (AKT1), p53 tumor protein (TP53), tumor necrosis factor (TNF), interleukin6 (IL6), vascular endothelial growth factor A (VEGFA), JUN, caspase 3 (CASP3), interleukin1B (IL1B), MYC and human epidermal growth factor receptor (EGFR) were screened out. GO analysis indicated that these compounds may be involved in biological processes such as signal transduction, apoptosis, cell proliferation, and inflammatory response. KEGG pathway analysis showed that the main enriched signaling pathways were PI3K/Akt, MAPK and TNF. Molecular docking and in vitro experimental results demonstrated that fucosterol, the main chemical component of seaweed-kunbu, had an antiproliferative effect on triple-negative breast cancer BT-549 cells. Conclusion Seaweed-kunbu may treat breast cancer through multiple targets and pathways, and its main chemical component fucosterol can effectively inhibit the proliferation activity of BT-549 cells.

Objective To investigate the impact of the Shared Medical Appointment (SMA) model on blood glucose levels and self-management behaviors in patients with gestational diabetes mellitus (GDM). Methods A total of 87 pregnant women diagnosed with GDM at the Obstetrics and Gynecology and Endocrinology Outpatient Departments of the Affiliated Suqian Hospital of Xuzhou Medical University from October 2021 to October 2022 were enrolled and divided into treatment group (n=44) and control group (n=43). The treatment group received SMA-based GDM management, while the control group underwent routine outpatient follow-up. Baseline data, flash glucose monitoring (FGM)-related indicators before and after treatment, and self-management behavior scale scores were compared between the two groups. Results No statistically significant differences were observed between the two groups in age, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), blood urea nitrogen (BUN), creatinine (Cr), uric acid (UA), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and glycated hemoglobin (HbA1c) (P>0.05). After treatment, the time in range (TIR) of glucose was higher in the treatment group than that in the control group, while mean amplitude of glycemic excursions (MAGE), standard deviation of blood glucose (SDBG), coefficient of variation (CV), and mean blood glucose (MBG) were lower in the treatment group (P < 0.05). Within the treatment group, post-treatment TIR was higher, and MAGE, CV, SDBG, and MBG were lower than pre-treatment levels (P < 0.05). In the control group, post-treatment TIR was higher, and SDBG and MBG were lower than pre-treatment levels (P < 0.05). After treatment, the total score and scores for dietary management, exercise management, medication management, and blood glucose monitoring management in the self-management behavior scale were significantly higher in the treatment group than in the control group (P < 0.05). In the treatment group, post-treatment scores for all self-management behaviors were higher than pre-treatment levels, while post-treatment total scores and scores for medication management and blood glucose monitoring management in the control group were higher than pre-treatment levels (P < 0.05). Conclusion SMA management model can comprehensively improve blood glucose levels and enhance self-management behavior capabilities in GDM patients.