Identification of differentially expressed non‑coding RNAs and mRNAs involved in Qi stagnation and blood stasis syndrome

Chen,Guang; Gao,Jialiang; He,Haoqiang; Liu,Chao; Liu,Yongmei; Li,Jun; Wang,Jie

doi:10.3892/etm.2018.7068

Identification of differentially expressed non‑coding RNAs and mRNAs involved in Qi stagnation and blood stasis syndrome

Authors:
- Guang Chen
- Jialiang Gao
- Haoqiang He
- Chao Liu
- Yongmei Liu
- Jun Li
- Jie Wang
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Affiliations: Graduate School, Beijing University of Chinese Medicine, Beijing 100029, P.R. China, Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China
Published online on: December 7, 2018 https://doi.org/10.3892/etm.2018.7068
Pages: 1206-1223
Copyright: © Chen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Qi stagnation and blood stasis syndrome (QSBSS) is a common Zheng in Traditional Chinese Medicine (TCM), describes the condition of unsmooth flow of Qi and blood, which manifests as distending pain in a fixed body part and emotional disorders, including irritability and depression. However, the underlying molecular mechanisms remain largely elusive. RNAs are the connection between DNA and proteins, which reflect the interaction between the genotypes and the phenotype. Of note, non‑coding (nc)RNA is a type of RNA that is not translated into any protein, but has regulatory functions. Despite the growing interest in exploring the biological basis of TCM Zhengs, the specific roles of ncRNAs in QSBSS have remained largely elusive. In the present study, next‑generation sequencing was performed to investigate the ncRNA profile in patients with three different types of disease, but who had QSBSS. A total of 104 long non‑coding RNAs, 2 circular RNAs and 697 mRNAs were identified to be significantly differentially expressed in QSBSS patients. Further bioinformatics analysis revealed that the most significantly enriched pathways by the differentially expressed RNAs in QSBSS were the sphingolipid signaling pathway, the neurotrophin signaling pathway, 5'AMP‑activated protein kinase and endocytosis. In addition, a network pharmacology analysis indicated that several of the differentially expressed RNAs were included in the targets of TCM herbs for treating QSBSS. The present study was the first to identify ncRNAs that are deregulated in QSBSS by next‑generation sequencing technology. The results may offer insight into the biological basis of TCM Zheng and the optimization of ancient formulae, as well as the discovery of novel drugs, to pave the way toward advanced TCM theory and improved health care delivery.

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