Optimizing vancomycin dosing in pediatrics: a machine learning approach to predict trough concentrations in children under four years of age.

BACKGROUND: Vancomycin trough concentration is closely associated with clinical efficacy and toxicity. Predicting vancomycin trough concentrations in pediatric patients is challenging due to significant inter-individual variability and rapid physiological changes during maturation. AIM: This study aimed to develop a machine learning model to predict vancomycin trough concentrations and determine optimal dosing regimens for pediatric patients < 4 years of age using ML algorithms. METHOD: A single-center retrospective observational study was conducted from January 2017 to March 2020. Pediatric patients who received intravenous vancomycin and underwent therapeutic drug monitoring were enrolled. Seven ML models [linear regression, gradient boosted decision trees, support vector machine, decision tree, random forest, Bagging, and extreme gradient boosting (XGBoost)] were developed using 31 variables. Performance metrics including R-squared (R2), mean square error (MSE), root mean square error (RMSE), and mean absolute error (MAE) were compared, and important features were ranked. RESULTS: The study included 120 eligible trough concentration measurements from 112 patients. Of these, 84 measurements were used for training and 36 for testing. Among the seven algorithms tested, XGBoost showed the best performance, with a low prediction error and high goodness of fit (MAE = 2.55, RMSE = 4.13, MSE = 17.12, and R2 = 0.59). Blood urea nitrogen, serum creatinine, and creatinine clearance rate were identified as the most important predictors of vancomycin trough concentration. CONCLUSION: An XGBoost ML model was developed to predict vancomycin trough concentrations and aid in drug treatment predictions as a decision-support technology.

Identification of Ferroptosis-Related Molecular Clusters and Immune Characterization in Autism Spectrum Disorder.

Introduction: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with clinical presentation and prognostic heterogeneity. Ferroptosis is a regulated non-apoptotic cell death program implicated in the occurrence and progression of various diseases. Therefore, we aimed to explore ferroptosis-related molecular subtypes in ASD and further illustrate the potential mechanism. Methods: A total of 201 normal samples and 293 ASD samples were obtained from the Gene Expression Omnibus (GEO) database. We used the unsupervised clustering analysis to identify the molecular subtypes based on ferroptosis-related genes (FRGs) and evaluate the immune characteristics between ferroptosis subtypes. Ferroptosis signatures were identified using the least absolute shrinkage and selection operator regression (LASSO) and recursive feature elimination for support vector machines (SVM-RFE) machine learning algorithms. The ferroptosis scores based on seven selected genes were constructed to evaluate the ferroptosis characteristics of ASD. Results: We identified 16 differentially expressed FRGs in ASD children compared with controls. Two distinct molecular clusters associated with ferroptosis were identified in ASD. Analysis of immune infiltration revealed immune heterogeneity between the two clusters. Cluster2, characterized by a higher immune score and a larger number of infiltrated immune cells, exhibited a stronger immune response and was markedly enriched in immune response-related signaling pathways. Additionally, the ferroptosis scores model was capable of predicting ASD subtypes and immunity. Higher levels of ferroptosis scores were associated with immune activation, as seen in Cluster2. Lower ferroptosis scores were accompanied by relative immune downregulation, as seen in Cluster1. Conclusion: Our study systematically elucidated the intricate correlation between ferroptosis and ASD and provided a promising ferroptosis score model to predict the molecular clusters and immune infiltration cell profiles of children with ASD.

Toxoplasma gondii infection in children after allogeneic hematopoietic stem cell transplantation: A case report and literature review.

INTRODUCTION: Toxoplasmosis is a life-threatening complication after hematopoietic stem cell transplantation (HSCT). However, for several reasons, clinicians know little about Toxoplasma infection. CASE PRESENTATION: We report a case of toxoplasmosis that was diagnosed by bone marrow smear and metagenomic next-generation sequencing (mNGS) after HSCT in a boy. Additionally, we summarize the characteristics of toxoplasmosis after pediatric HSCT reported in the literature published in PubMed. CONCLUSION: Clinicians should increase their awareness of toxoplasmosis in children after HSCT and implement pre-transplant screening and post-transplant monitoring and prevention in future according to the national conditions of our country.

Downregulation of Three Immune-Specific Core Genes and the Regulatory Pathways in Children and Adult Friedreich's Ataxia: A Comprehensive Analysis Based on Microarray.

BACKGROUND: Friedreich's ataxia (FRDA) is a familial hereditary disorder that lacks available therapy. Therefore, the identification of novel biomarkers and key mechanisms related to FRDA progression is urgently required. METHODS: We identified the up-regulated and down-regulated differentially expressed genes (DEGs) in children and adult FRDA from the GSE11204 dataset and intersected them to determine the co-expressed DEGs (co-DEGs). Enrichment analysis was conducted and a protein-protein interaction (PPI) network was constructed to identify key pathways and hub genes. The potential diagnostic biomarkers were validated using the GSE30933 dataset. Cytoscape was applied to construct interaction and competitive endogenous RNA (ceRNA) networks. RESULTS: Gene Set Enrichment Analysis (GSEA) indicated that the genes in both the child and adult samples were primarily enriched in their immune-related functions. We identified 88 co-DEGs between child and adult FRDA samples. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome enrichment analysis suggested that these co-DEGs were primarily enriched in immune response, inflammatory reaction, and necroptosis. Immune infiltration analysis showed remarkable differences in the proportions of immune cell subtype between FRDA and healthy samples. In addition, ten core genes and one gene cluster module were screened out based on the PPI network. We verified eight immune-specific core genes using a validation dataset and found CD28, FAS, and ITIF5 have high diagnostic significance in FRDA. Finally, NEAT1-hsa-miR-24-3p-CD28 was identified as a key regulatory pathway of child and adult FRDA. CONCLUSIONS: Downregulation of three immune-specific hub genes, CD28, FAS, and IFIT5, may be associated with the progression of child and adult FRDA. Furthermore, NEAT1-hsa-miR-24-3p-CD28 may be the potential RNA regulatory pathway related to the pathogenesis of child and adult FRDA.

Grape seed proanthocyanidin extract reverses multidrug resistance in HL-60/ADR cells via inhibition of the PI3K/Akt signaling pathway.

BACKGROUND AND PURPOSE: Multidrug resistance (MDR) is a great challenge and obstacle in cancer treatment. It is a common problem in the treatment of acute myeloid leukemia (AML). Whether grape seed proanthocyanidin extract (GSPE) could reverse MDR in patients with AML is still unknown. The aim of this study was to investigate the MDR reverse ability of GSPE and its possible mechanism in vitro. MATERIALS AND METHODS: Human leukemia cell line HL-60 cells and HL-ADR cells were used. MTT assay were employed to identify the cytotoxic effects of different chemotherapeutic drugs and reverse ability of GSPE. Flow cytometry assays were used to verify the cell apoptosis induced by GSPE. MDR-related genes expression was tested by real-time polymerase chain reaction (Q-PCR). MDR-related protein expression was assessed by Western blotting assays. The genes and their related protein expression of multidrug resistance-associated protein 1 (MRP1), multidrug resistance protein 1 (MDR1) and lung resistance-related protein (LRP) were tested in this study. KEY RESULTS: We found that HL-60/ADR cells were resistant to a variety of chemotherapeutic drugs, including cytarabine (Ara-C), adriamycin (ADR), vincristine (VCR), daunorubicin (DNR), mitoxantrone (MTZ), pirarubicin (THP), homoharringtonine (HHT) and etoposide (VP16). Co-treatment with GSPE could significant lower the IC50 of Ara-C and ADR in HL-60/ADR cells (P < 0.01). MDR related mRNA and their protein expression of MRP1 and MDR1 were significant highly expressed in HL-60/ADR cells than HL-60 cells (P < 0.01). But only protein expression of LRP was higher in HL-60/ADR cells than HL-60 cells (P < 0.05). GSPE could induce a higher intracellular level of ADR in HL-60/ADR cells. It could also inhibit Akt phosphorylation resulted in the down regulation of MRP1, MDR1 and LRP and induce cell apoptosis. 25.0 µg/mL GSPE significant inhibited the Akt phosphorylation (P < 0.05). CONCLUSION AND IMPLICATIONS: GSPE-reversed MDR of HL-60/ADR cells might be associated with the inhibition of the PI3K/Akt signaling pathway, which resulted in the down-regulation the expression of MRP1, MDR1 and LRP. These results provide that GSPE may serve as a combination therapy in AML chemotherapy for future study.