DataSheet_1_Metabolomics-transcriptomics joint analysis: unveiling the dysregulated cell death network and developing a diagnostic model for high-grade neuroblastoma.docx

High-grade neuroblastoma (HG-NB) exhibits a significantly diminished survival rate in comparison to low-grade neuroblastoma (LG-NB), primarily attributed to the mechanism of HG-NB is unclear and the lacking effective therapeutic targets and diagnostic model. Therefore, the current investigation aims to study the dysregulated network between HG-NB and LG-NB based on transcriptomics and metabolomics joint analysis. Meanwhile, a risk diagnostic model to distinguish HG-NB and LG-NB was also developed. Metabolomics analysis was conducted using plasma samples obtained from 48 HG-NB patients and 36 LG-NB patients. A total of 39 metabolites exhibited alterations, with 20 showing an increase and 19 displaying a decrease in HG-NB. Additionally, transcriptomics analysis was performed on NB tissue samples collected from 31 HG-NB patients and 20 LG-NB patients. Results showed that a significant alteration was observed in a total of 1,199 mRNAs in HG-NB, among which 893 were upregulated while the remaining 306 were downregulated. In particular, the joint analysis of both omics data revealed three aberrant pathways, namely the cAMP signaling pathway, PI3K-Akt signaling pathway, and TNF signaling pathway, which were found to be associated with cell death. Notably, a diagnostic model for HG-NB risk classification was developed based on the genes MGST1, SERPINE1, and ERBB3 with an area under the receiver operating characteristic curve of 0.915. In the validation set, the sensitivity and specificity were determined to be 75.0% and 80.0%, respectively.</p

Additional file 1 of Molecular beacon based real-time PCR p1 gene genotyping, macrolide resistance mutation detection and clinical characteristics analysis of Mycoplasma pneumoniae infections in children

Additional file 1: Fig. S1. Secondary structures and Tm values of two molecular beacons. A Secondary structures of MB1; B Secondary structures of MB2; C Tm values of MB1; D Tm values of MB2

New Tyrosinase Inhibitors from Paecilomyces gunnii

Through screening 50 strains of entomopathogenic fungi and rescreening of 7 strains of Paecilomyces gunnii, a methanol extract of liquid-cultivated mycelia of P. gunnii was found to have the strongest tyrosinase inhibitory activity. Preparative high-speed counter-current chromatography (HSCCC) guided by high-performance liquid chromatography (HPLC)–electrospray ionization (ESI)–high-resolution mass spectrometry (HRMS) was employed for the isolation and purification of the active components, and three new compounds with half inhibition concentration (IC₅₀) of 0.11, 0.17, and 0.14 mM against diphenolase were obtained from the extract, respectively. Their chemical structures were identified by HRMS, one- and two-dimensional nuclear magnetic resonance (2D NMR) spectroscopy as paecilomycones A, B, and C. Structure and activity studies showed that the tyrosinase inhibition activities are positively related to the number of hydroxyl groups on the paecilomycones