RESUMO
To explore genetic pathway cross-talk in neonates with sepsis, an integrated approach was used in this paper. To explore the potential relationships between differently expressed genes between normal uninfected neonates and neonates with sepsis and pathways, genetic profiling and biologic signaling pathway were first integrated. For different pathways, the score was obtained based upon the genetic expression by quantitatively analyzing the pathway cross-talk. The paired pathways with high cross-talk were identified by random forest classification. The purpose of the work was to find the best pairs of pathways able to discriminate sepsis samples versus normal samples. The results found 10 pairs of pathways, which were probably able to discriminate neonates with sepsis versus normal uninfected neonates. Among them, the best two paired pathways were identified according to analysis of extensive literature. Impact statement To find the best pairs of pathways able to discriminate sepsis samples versus normal samples, an RF classifier, the DS obtained by DEGs of paired pathways significantly associated, and Monte Carlo cross-validation were applied in this paper. Ten pairs of pathways were probably able to discriminate neonates with sepsis versus normal uninfected neonates. Among them, the best two paired pathways ((7) IL-6 Signaling and Phospholipase C Signaling (PLC); (8) Glucocorticoid Receptor (GR) Signaling and Dendritic Cell Maturation) were identified according to analysis of extensive literature.
Assuntos
Células Dendríticas/citologia , Redes Reguladoras de Genes/genética , Interleucina-6/genética , Sepse Neonatal/patologia , Receptores de Glucocorticoides/genética , Fosfolipases Tipo C/genética , Células Dendríticas/imunologia , Perfilação da Expressão Gênica , Glicólise/genética , Humanos , Sistema Imunitário/crescimento & desenvolvimento , Sistema Imunitário/imunologia , Recém-Nascido , Interleucina-6/imunologia , Cirrose Hepática/patologia , Melatonina/metabolismo , Método de Monte Carlo , Fatores de Transcrição NFATC/genética , Receptores de Glucocorticoides/metabolismo , Transdução de Sinais/genética , Migração Transendotelial e Transepitelial/genética , Fosfolipases Tipo C/metabolismoRESUMO
A combinative method using HPLC-DAD fingerprint and quantitative analysis was developed and validated for manufacturer-to-manufacturer quality consistency evaluation of Yiqing preparations. For fingerprint analysis, 22 peaks were selected as the characteristic peaks to evaluate the similarities of different samples collected from different manufacturers. The similarities of 12 Yiqing samples were beyond 0.90, indicating that samples from different manufacturers were, to some extent, consistent. Additionally, simultaneous quantification of nine markers including berberine, aloe-emodin, rhein, emodin, chrysophanol, baicalin, baicalein, wogonoside, and wogonin in Yiqing was performed to interpret the quality consistency. The results from the quantitative data showed that the contents of these nine marker compounds were quite consistent for batches produced within one manufacturer and significantly different from manufacturer-to-manufacturer. This study demonstrated that a combination of the chromatographic fingerprint and quantitative analysis offers an efficient way to quality consistency evaluation of herbal preparation.