Literature DB >> 31768751

The anti-inflammatory effects of formononetin and ononin on lipopolysaccharide-induced zebrafish models based on lipidomics and targeted transcriptomics.

Liyu Luo1, Junyi Zhou2, Haiyu Zhao2, Miaoxuan Fan3, Wenyuan Gao4.   

Abstract

INTRODUCTION: Formononetin (MBHS) and its glycosylated derivative ononin (MBHG), as the major isoflavones, have exhibited the anti-inflammatory impacts on the lipopolysaccharide (LPS)-induced inflammation. Although various researches have focused on interpreting the pharmaceutical activities of MBHG and MBHS, the molecular mechanisms in zebrafish models are still unclear.
OBJECTIVE: The purpose of the present work is to investigate the molecular mechanisms of the anti-inflammatory effects of MGHG and MBHS based on lipidomics and targeted transcriptomics.
METHODS: UHPLC-MS was applied for the lipid analyses and RT-PCR was adopted for the mRNA analyses, and the results of different groups were compared for exploring the significantly changed lipids and mRNAs.
RESULTS: The results of lipidomics revealed that phosphatidylcholines (PCs) were drastically down-regulated in the MBHG or MBHS treated LPS-induced inflammatory zebrafish models. Besides, MBHS can also decrease the levels of triacylglycerols (TAGs). For the targeted transcriptomics analyses, 4 cytokines (TNF-α, IL-1β, IL-6 and IFN-γ) and 3 mRNA (JNK1, ERK1 and p38a) involved in the MAPK pathway were down-regulated and IL-10 was up-regulated under the treatment of MBHG or MBHS.
CONCLUSION: Combining the results of lipidomics and targeted transcriptomics, we indicated that MBHG and MBHS exerted potent anti-inflammatory effects on the LPS-induced zebrafish models through the MyD88 or TRIF MAPK/ERK and MAPK/JNK pathways and the glycerophospholipid, glycosylphosphatidylinositol (GPI)-anchor biosynthesis and glycerolipid metabolisms. Our results provided new insights into the anti-inflammatory mechanisms of MBHG or MBHS and supplied an effective method to interpret the pharmacological mechanisms of drugs.

Entities:  

Keywords:  Formononetin; Inflammation; Lipidomics; MAPK; Ononin; Targeted transcriptomics

Mesh:

Substances:

Year:  2019        PMID: 31768751     DOI: 10.1007/s11306-019-1614-2

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


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