Analysis of Potential Risks in Abnormal Physical Development Due to Dietary Habits in Preschool Children.

Background: The prevalence of abnormal physical development in preschool children is often linked to their dietary habits, necessitating a comprehensive investigation. Understanding the intricacies of these habits is crucial for formulating targeted interventions to enhance the overall health and well-being of this vulnerable population. Objective: This study aims to explore the dietary habits of preschool children in Shijiazhuang and evaluate their impact on abnormal physical development. The primary objective is to identify key dietary issues, particularly focusing on picky eating, and assess their association with undernutrition and obesity in this age group. Methods: Utilizing a stratified sampling approach, the study involves preschool children and their caregivers from various kindergartens in Shijiazhuang. On-site medical examinations are conducted to measure height and weight and calculate body mass index (BMI). Additionally, parents were surveyed to gather information on the general aspects and dietary habits of their children. Binary logistic regression analysis was employed to ascertain the correlation between picky eating and the risk of undernutrition and obesity. Results: The findings indicate that approximately 70% of preschool children maintain a normal BMI, while 16.67% experience undernutrition, and 13.33% face issues of being overweight or obese. Picky eating emerges as the predominant dietary habit issue, affecting 51.33% of the participants. Binary logistic regression analysis identifies picky eating as a significant risk factor for undernutrition and obesity among children. Conclusions: Picky eating stands out as the primary dietary habit concern for preschool children, concurrently posing a substantial risk for abnormal physical development. Urgent measures are warranted to rectify children's suboptimal dietary habits, elevate nutritional standards, and foster their overall health and development. These findings underscore the imperative need for interventions targeting dietary improvement in preschoolers, contributing to improving their well-being and long-term health outcomes.

Integrated network pharmacology, metabolomics, and transcriptomics of Huanglian-Hongqu herb pair in non-alcoholic fatty liver disease.

ETHNOPHARMACOLOGICAL RELEVANCE: The Huanglian-Hongqu herb pair (HH) is a synergistic drug combination used to treat non-alcoholic fatty liver disease (NAFLD). However, the molecular mechanism underlying the therapeuticeffects of HH requires further elucidation. AIM OF THE STUDY: The present study explored the potential mechanism of HH in treating NAFLD. MATERIALS AND METHODS: UPLC-Q-TOF-MS was employed to identify the drug constituents in HH. A NAFLD rat model was induced by a high-fat diet (HFD) and treated with different doses of HH. The functional mechanism of HH in NAFLD rats was predicted using network pharmacology, metabolomics and transcriptomics. Immunohistochemistry, real-time PCR, and Western blot were performed to validate the key mechanisms. RESULTS: Pharmacodynamic assessment demonstrated that HH exhibited improvements in lipid deposition and reduced hepatic oxidative stress in NAFLD rats. Hepatic wide-target metabolomics revealed that HH primarily modulated amino acids and their metabolites, fatty acids, organic acids and their derivatives, bile acids, and other liver metabolites. The enriched pathways included metabolic pathways, primary bile acid biosynthesis, and bile secretion. Network pharmacology analysis indicated that HH regulated the key pathways in NAFLD, notably PPAR, AMPK, NF-κB and other signaling pathways. Furthermore, hepatic transcriptomics, based on Illumina RNA-Seq sequencing analyses, suggested that HH improved NAFLD through metabolic pathways, the PPAR signaling pathway, primary bile acid biosynthesis, and fatty acid metabolism. Further mechanistic studies indicated that HH could regulate the genes and proteins associated with the PPAR signaling pathway. CONCLUSION: Our findings demonstrated that the potential therapeutic benefits of HH in ameliorating NAFLD by targeting the PPAR signaling pathway, thereby facilitating a more extensive use of HH in NAFLD.

Advances in oxidative stress in pathogenesis of diabetic kidney disease and efficacy of TCM intervention.

Diabetic kidney disease (DKD) is a common complication of diabetes and has become the leading cause of end-stage kidney disease. The pathogenesis of DKD is complicated, and oxidative stress is considered as a core of DKD onset. High glucose can lead to increased production of reactive oxygen species (ROS) via the polyol, PKC, AGE/RAGE and hexosamine pathways, resulting in enhanced oxidative stress response. In this way, pathways such as PI3K/Akt, TGF-ß1/p38-MAPK and NF-κB are activated, inducing endothelial cell apoptosis, inflammation, autophagy and fibrosis that cause histologic and functional abnormalities of the kidney and finally result in kidney injury. Presently, the treatment for DKD remains an unresolved issue. Traditional Chinese medicine (TCM) has unique advantages for DKD prevention and treatment attributed to its multi-target, multi-component, and multi-pathway characteristics. Numerous studies have proved that Chinese herbs (e.g., Golden Thread, Kudzuvine Root, Tripterygium glycosides, and Ginseng) and patent medicines (e.g., Shenshuaining Tablet, Compound Rhizoma Coptidis Capsule, and Zishen Tongluo Granule) are effective for DKD treatment. The present review described the role of oxidative stress in DKD pathogenesis and the effect of TCM intervention for DKD prevention and treatment, in an attempt to provide evidence for clinical practice.

Progress and Prospects of Research Ideas and Methods in the Network Pharmacology of Traditional Chinese Medicine.

In recent years, the emerging network pharmacology has been extensively applied to the field of traditional Chinese medicine and has made great contributions to the modernization of TCM. Therefore, this paper provides an overview of the progress of research ideas and methods in the network pharmacology in the last few years in the field of traditional Chinese medicine and presents insights into future research methods and ideas in the network pharmacology. Problems with the current network pharmacology are discussed and prospects of its future development are put forward.

Identification of Oxidative Stress-Related Biomarkers in Diabetic Kidney Disease.

Background: Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease throughout the world. In kidney disease, oxidative stress has been linked to both antioxidant depletions and increased reactive oxygen species (ROS) production. Thus, the objective of this study was to identify biomarkers related to oxidative stress in DKD. Methods: The gene expression profile of the DKD was extracted from the Gene Expression Omnibus (GEO) database. The identification of the differentially expressed genes (DEGs) was performed using the "limma" R package, and weighted gene coexpression network analysis (WGCNA) was used to find the gene modules that were most related to DKD. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed using "Org.Hs.eg.db" R package. The protein-protein interaction (PPI) network was constructed using the STRING database. The hub genes were identified by the Molecular Complex Detection (MCODE) plug-in of Cytoscape software. The diagnostic capacity of hub genes was verified using the receiver operating characteristic (ROC) curve. Correlations between diagnostic genes were analyzed using the "corrplot" package. In addition, the miRNA gene transcription factor (TF) network was used to explain the regulatory mechanism of hub genes in DKD. Results: DEGs analysis and WGCNA-identified 160 key genes were identified in DKD patients. Among them, nine oxidative stress-related genes were identified as candidate hub genes for DKD. Using the PPI network, five hub genes, NR4A2, DUSP1, FOS, JUN, and PTGS2, were subsequently identified. All the hub genes were downregulated in DKD and had a high diagnostic value of DKD. The regulatory mechanism of hub genes was analyzed from the miRNA gene-TF network. Conclusion: Our study identified NR4A2, DUSP1, FOS, JUN, and PTGS2 as hub genes of DKD. These genes may serve as potential therapeutic targets for DKD patients.