asthma, a common but poorly controlled disease, is one of the most serious health problems worldwide; however, the mechanisms underlying the development of asthma remain unknown. long non-coding rnas (lncrnas) and mrnas serve important roles in the initiation and progression of various diseases. The present study aimed to investigate the role of differentially expressed lncrnas and mrnas associated with asthma. differentially expressed lncrnas and mrnas were screened between the expression data of 62 patients with asthma and 43 healthy controls. Gene ontology (Go) and Kyoto encyclopedia of Genes and Genomes (KeGG) analyses were performed to investigate the biological functions and pathways associated with the lncrnas and mRNAs identified. Protein-protein interaction (PPI) networks were subsequently generated. in addition, lncrna-mrna weighted co-expression networks were obtained. in total, 159 differentially expressed lncrnas and 1,261 mrnas were identified. GO and KEGG analyses revealed that differentially expressed mrnas regulated asthma by participating in the 'vascular endothelial (VeGF) signaling pathway', 'oxidative phosphorylation', 'Fc ε ri signaling pathway', 'amino sugar and nucleotide sugar metabolism', 'histidine metabolism', 'β-alanine metabolism' and 'extracellular matrix-receptor interaction' (P<0.05). Furthermore, protein kinase B 1 had the highest connectivity degree in the PPi network, and was significantly enriched in the 'VEGF signaling pathway' and 'Fc ε ri signaling pathway'. a total of 8 lncrnas in the lncrna-mrna co-expression network were reported to interact with 52 differentially expressed genes, which were enriched in asthma-associated Go and KeGG pathways. The results obtained in the present study may provide insight into the profile of differentially expressed lncrnas associated with asthma. The identification of a cluster of dysregulated lncrnas and mrnas may serve as a potential therapeutic strategy to reverse the progression of asthma.
Incomplete abortion, a procedure for terminating pregnancy, will lead to abnormal uterine bleeding (AUB), infections, and even death. Taohong Siwu decoction (TSD) is a traditional Chinese medicine (TCM) formula, which has been developed to treat AUB for hundreds of years. However, the mechanism of the protective effect of TSD against AUB is not clear. We performed mass spectrometry (MS) of uterine samples to observe metabolic profile resulting from the treatment with TSD. An integrated gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry based untargeted metabolomics approach combined with multivariate statistical analyses were used to investigate the metabolic profile of TSD against AUB. There was clear separation between pregnant and incomplete aborting rats as well as incomplete aborting and TSD administered rats. Based on random forest algorithm and receiver operator characteristic analysis, 12 biomarkers were optimized related to TSD administered. The effect of TSD on AUB are related to several pathways, such as AA metabolism, glyoxylate and dicarboxylate metabolism, alanine, aspartate, and glutamate metabolism. To our knowledge, this is the first uterine metabolomics study focusing on TSD on AUB and provide a new perspective for explaining the mechanism of TSD on AUB.
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