Objective To investigate the influencing factors of antibiotic-associated diarrhea(AAD)following congenital heart disease(CHD)surgery in pediatric patients,develop a nomogram-based predictive model,and validate its efficacy.Methods A retrospective analysis was conducted on the clinical data of pediatric patients who underwent CHD surgery in the Pediatric Intensive Care Unit(PICU)of a tertiary hospital in Guang-dong Province from July 2022 to July 2024.Patients were categorized into an AAD group and a non-AAD group.Univariate and multivariate logistic regression analyses were performed to identify risk factors for AAD occurrence following CHD surgery.A risk prediction model was developed,and a nomogram was constructed.The predictive performance of the model was evaluated using the Receiver Operating Characteristic(ROC)curve to calculate the area under the curve(AUC),the Hosmer-Lemeshow goodness-of-fit test,calibration curves,and clinical decision curve analysis.External validation of the model was conducted using data from patients in the Surgical Intensive Care Unit(SICU).Results The incidence of AAD following CHD surgery was 48.52%(229 out of 472 cases).Risk factors for AAD included the combined use of antibiotics,mechanical ventilation,elevated C-reactive protein levels,prolonged surgical duration,and extended antibiotic usage time(all with OR>1,P<0.05).Conversely,probiotic administration was identified as a protective factor(OR<1,P<0.05).The predictive model demon-strated excellent discrimination,as evidenced by the ROC curve areas:0.922(95%CI:0.894～0.951)in the modeling group,0.886(95%CI:0.838～0.915)in the internal validation group,and 0.862(95%CI:0.784～0.941)in the external validation group.Additionally,the model exhibited satisfactory calibration,as indicated by the Hosmer-Lemeshow test results:χ2=7.96,P=0.538 in the modeling group;χ2=4.24,P=0.895 in the inter-nal validation group;and χ2=9.923,P=0.270 in the external validation group.Furthermore,the model provided significant clinical utility.Conclusions Combined antibiotic use,duration of antibiotic therapy,mechanical ventilation,surgical duration,C-reactive protein(CRP)levels,and probiotic administration are key factors influ-encing the occurrence of AAD.The risk prediction model developed based on these variables demonstrates robust predictive performance and can serve as a valuable reference for the development and implementation of preventive and therapeutic strategies in clinical practice.

Autism spectrum disorder in children (hereinafter called "childhood autism") is a prevalent neurodevelopmental condition; however, ancient Chinese medical texts did not provide detailed accounts of it. The concept of "the sovereign fire illuminates, while the ministerial fire occupies its position" was first introduced in the Plain Questions: The Great Treatise on the Origin of Heavenly Influences chapter. Subsequent medical practitioners have elaborated on this idea, identifying the sovereign fire as the master of the spirit and governing life activities, while the ministerial fire is the assisting minister that supports the functions of the zang-fu organs. When these two are in harmony, they complement each other, collectively sustaining the body′s normal physiological functions. In the context of this theory, the pathogenesis of childhood autism is attributed to the imbalance between the sovereign and ministerial fires. The root cause lies in the mutual antagonism of these two fires, resulting in the dysfunction of the spirit. Central to childhood autism onset is the dimming of the sovereign fire and a deficiency in the spirit, while the displacement of the ministerial fire and the impaired function of the five viscera contribute significantly to the progression of the condition. Effective treatment for childhood autism involves restoring these imbalances: dispelling yin-related obstructions to illuminate the sovereign fire, nourishing the spleen and kidney to nourish the ministerial fire, and regulating the liver and lung to harmonize the sovereign and ministerial fires. The ultimate goal is to integrate body and spirit, harmonize the sovereign and ministerial fires, and restore the interconnectedness between spirit and the function of the five zang viscera. This article, based on the "the sovereign fire illuminates, while the ministerial fire occupies its position" theory, provides a novel perspective and insights for understanding and treating childhood autism through the holistic principles of traditional Chinese medicine. Emphasizing the integration of body and spirit offers new insights and approaches for the clinical management of childhood autism in traditional Chinese medicine.

By sorting out the records of Atractylodis Macrocephalae Rhizoma as food and medicine, this article believed that Atractylodis Macrocephalae Rhizoma as the same origin of medicine and food for a long history, the earliest in the Qin and Han Dynasty Shen Nong Ben Cao Jing: "Zhu, bitter and warm, having efficacy for cold, dampness, paralysis of dead muscles, and spasm; antiperspirant, removing heat, digesting food, and be used as decoction bait; taking for a long time, losing weight and prolonging life, and don't be hungry". On the basis of Shen Nong Ben Cao Jing, later doctors continue to conduct long-term clinical observation and compatibility of its medicine and food efficacy, which is widely used in internal, external, gynaecology, pediatrics, skin and other departments, to treat spleen and stomach diseases, epidemic diseases, kidney diseases, etc. At the same time of clinical practice, Atractylodis Macrocephalae Rhizoma is also widely used in the folk for dietary therapy, including decoction bait, ointment, decoction, soup and other edible methods. Therefore, as a medicine and food and health preservation product, Atractylodis Macrocephalae Rhizoma has great development potential in daily health care and disease diagnosis and treatment with the effects of non-toxic, satiety and longevity.

The culture of suspended Vero cells is facing difficulties such as low cell viability and long doubling time. To investigate the main reasons for the slow growth and low viability of suspended Vero cells, this study conducted transcriptomic analysis of suspended Vero cells (Vero-XF) and adherent Vero cells (Vero-AD) to screen the differentially expressed genes (DEGs) affecting the growth of suspended cells. In addition, epidermal growth factor (EGF) was supplemented to the culture system to improve the growth of Vero-XF. The results showed that compared with the Vero-AD group, the Vero-XF group had 7 376 significant DEGs. Kyoto encyclopedia of genes and genomes enrichment analysis revealed that the DEGs were mainly enriched in the autophagy and mitophagy pathways. Eleven DEGs were selected and verified by quantitative real-time PCR, which showed up-regulated expression of ATG9B, WIPI2, LAMP2, OPTN, Rab7a, and DEPTOR and down-regulated expression of ATG4D, being consistent with the results of transcriptomic analysis. In addition, the Vero-XF group showed significantly up-regulated expression of ATG101, ATG2A, and STX17 and insignificant change in the expression of NBR1, compared with the Vero-AD group. The protein levels of LC3 and P62 in Vero-XF and Vero-AD were determined by Western blotting, which showed up-regulated expression of LC3Ⅱ/Ⅰ and down-regulated expression of P62 in Vero-XF, indicating a higher level of autophagy. Finally, the exogenous supplementation of EGF at 10, 20, and 30 μg/L in the culture system reduced the autophagy level of Vero-XF by 22.35%, 48.15%, and 71.29%, increased the specific growth rate by 15.48%, 33.33%, and 57.14%, and decreased the apoptosis rate by 2.84%, 15.46%, and 16.23%, respectively. The results of this study preliminarily reveal that the activation of autophagy is one of the reasons for the slow growth of Vero-XF, which provides reference for the subsequent culture of suspended Vero cells.
Animals ; Vero Cells ; Autophagy/genetics* ; Chlorocebus aethiops ; Epidermal Growth Factor/pharmacology* ; Gene Expression Profiling ; Transcriptome ; Cell Survival

Objective:To investigate the correlation between non-Hodgkin lymphoma (NHL) and chronic hepatitis B virus (HBV) infection by using the method of two-sample bidirectional Mendelian randomization (MR) analysis.Methods:Genetic variation data for NHL came from the Finnish database (FinnGen) Consortium 2021 public genome-wide association study (GWAS) dataset including 1 088 patients with NHL and 299 952 control subjects. The GWAS dataset for chronic HBV infection was derived from GWAS analysis published in 2021, including 145 NHL patients and 351 740 control subjects. NHL was used as an exposure factor, single nucleotide polymorphism (SNP) significantly associated with NHL was used as an instrumental variable (IV), chronic HBV infection was used as an outcome variable. The two-sample MR analysis was performed by using inverse-variance weighted (IVW) method. Chronic HBV infection was taken as an exposure factor, SNP significantly associated with chronic HBV infection was taken as IV, and NHL was taken as outcome variable, and then reverse two-sample MR analysis was performed. The IVW method used the inverse variance of each IV as the weight to fit, and the ratio method was used to measure SNP one by one and make weighted regression analysis, so as to obtain the overall estimate. MR-Egger regression and the weighted median (WME) method were also used to supplement the IVW method. In sensitivity analysis, leave-one-out sensitivity analysis was used to evaluate the impact of a single SNP. Cochran Q test was used to analyze the heterogeneity of the selected IV. MR-Egger regression was used to measure the average horizontal pleiotropy of IV, and the P-value of directivity was calculated. The MR-pleiotropy residual sum and outlier (MR-PRESSO) Global Test was used to exclude possible horizontal pleiotropic outliers and reduce bias. Results:In the leave-one-out sensitivity analysis, SNP with significant effects on causal associations was excluded. In forward MR analysis, IVs were 10 SNPs associated with NHL; the IVW method indicated that there was no causal association between NHL and chronic HBV infection ( OR = 0.979, 95% CI: 0.925-1.036, P = 0.465). MR-Egger regression ( OR = 0.992, 95% CI: 0.926-1.062, P = 0.825) and WME method ( OR = 0.992, 95% CI: 0.934-1.055, P = 0.805) were used as supplementary methods to obtain the consistent results. In sensitivity analysis, Cochran Q test showed no heterogeneity among IVs (IVW method: P = 0.271, MR-Egger regression: P = 0.239). Horizontal pleiotropy was not found in the MR-Egger regression (intercept was -0.01, P = 0.778) and the MR-PRESSO Global Test ( P > 0.05), suggesting robust results. In the reverse MR analysis, IVs were 8 SNPs associated with NHL; the IVW method ( OR = 1.117, 95% CI: 0.942-1.324, P = 0.202) also found no significant causal relationship between chronic HBV infection and NHL; MR-Egger regression ( OR = 0.777, 95% CI: 0.450-1.343, P = 0.401) and WME method ( OR = 1.120, 95% CI: 0.887-1.415, P = 0.351) also showed similar risk estimates. Sensitivity analysis also suggested the consistency and reliability of the results. Cochran Q test showed no heterogeneity among IVs (IVW method: P = 0.775, MR-Egger regression: P = 0.903). Horizontal pleiotropy was not found by MR-Egger regression (intercept was 0.102, P = 0.548) and MR-PRESSO Global Test ( P > 0.05). Conclusions:MR analysis suggests no causal relationship between NHL and chronic HBV infection.

Psoriasis is a chronic inflammatory skin disease, and its pathogenesis is largely modulated by abnormal angiogenesis. Previous research has indicated that AlkB homolog 5 (ALKBH5), an important demethylase affecting N⁶-methyladenosine (m⁶A) modification, plays a role in regulating angiogenesis in cardiovascular and eye diseases. Our present study found that ALKBH5 was upregulated and co-localized with cluster of differentiation 31 (CD31) in the skin of IMQ group compared with control group. ALKBH5-deficient mice decreased IMQ-induced psoriatic dermatitis and exhibited histological improvements, including decreased epidermal thickness, hyperkeratosis, numbers of dermal capillary vessels and inflammatory cell infiltration. ALKBH5-KO mice alleviated angiogenesis in psoriatic lesions by downregulating the protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathway. Additionally, the expression of ALKBH5 was significantly upregulated in IL-17A-induced human umbilical vein endothelial cells (HUVECs), which further promoted the expression of angiogenesis-related cytokines and endothelial cell proliferation. Cell proliferation and angiogenesis were suppressed in ALKBH5 knockdown group, whereas ALKBH5 overexpression promoted these processes. The regulation of angiogenesis in HUVECs by ALKBH5 was facilitated through the AKT-mTOR pathway. Collectively, ALKBH5 plays a pivotal role in psoriatic dermatitis and angiogenesis, which may offer a new potential targets for treating psoriasis.
Animals ; Psoriasis/chemically induced* ; Mice ; Humans ; Neovascularization, Pathologic/genetics* ; Human Umbilical Vein Endothelial Cells/metabolism* ; AlkB Homolog 5, RNA Demethylase/genetics* ; Proto-Oncogene Proteins c-akt/metabolism* ; TOR Serine-Threonine Kinases/metabolism* ; Cell Proliferation ; Mice, Knockout ; Disease Models, Animal ; Signal Transduction ; Male ; Skin/blood supply* ; Mice, Inbred C57BL ; Angiogenesis

Objective To identify key proteins associated with sudden cardiac death(SCD)caused by lethal arrhythmia and to explore their potential molecular mechanisms through integrated proteomic analysis,data mining,and bioinformatics.Methods A lethal arrhythmia model was established in 8-week-old male Sprague-Dawley rats,which were divided into an arrhythmia group and a control group.Proteomic techniques were applied to identify and quantify proteins in left ventricular myocardial tissue,and differentially expressed proteins related to arrhythmia were screened.Key proteins were further identified through comparison with target proteins in databases combined with joint analyses.Bioinformatics methods were then used to investigate potential molecular mechanisms.Results A total of 356 differentially expressed proteins were identified,including 189 upregulated and 167 downregulated.Association analysis with target gene proteins identified 71 key proteins,and a protein-protein interaction network was constructed.GO enrichment and KEGG pathway analyses indicated that these key proteins were primarily involved in ion channel dysfunction,enhanced oxidative stress,and autonomic nervous system imbalance.Conclusion This study,through the integration of proteomics,data mining,and bioinformatics,revealed critical molecular mechanisms underlying SCD associated with lethal arrhythmia.These findings provide new perspectives and potential biomarkers for forensic identification and research on the mechanisms of death.

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.