Emerging evidence highlights the role of gut microbiota in regulating the pathogenesis of coronary heart disease. Here, we performed 16S rRNA gene sequencing and UPLC-Q-TOF/MS-based metabolomics to investigate the gut microbiome and metabolomes of cecal contents in the isoproterenol (ISO)-induced acute myocardial ischemia (AMI) rats. As expected, considerable gut microbiota alterations were observed in the AMI rats compared with the control rats, paralleling with intestinal inflammation and apoptosis. At phylum level, the abundance of Firmicutes was significantly decreased, whereas the abundance of Bacteroidetes and Spirochaetae was strikingly enriched in the AMI group. At genus level, the significant alteration of genera Treponema 2, Rikenellaceae RC9 gut group, Prevotellaceae UCG-003, and Bacteroides may contribute to the pathogenesis of AMI. These altered microbiota might influence the intestinal permeability and subsequently impair intestinal barrier and stimulate gut inflammation. Consistently, significantly metabolic differences of cecal contents between the AMI and control groups were revealed, and threonic acid, L-urobilin and L-urobilinogen were considered the most associated cecal metabolites with AMI. These strikingly altered metabolites were mainly related to energy metabolism and oxidative stress which could lead to apoptosis and further affect gut barrier. Ultimately, we revealed the potential link of these altered gut microbiota/metabolomes and intestinal inflammatory factors and apoptotic proteins and further confirmed their intimate connections with intestinal inflammation and gut barrier. Our findings depict uncovered potential relationship among the gut microbiome, cecal metabolomes and AMI.

Flos Chrysanthemi Indici (FCI), the flower of Chrysanthemum indicum L., is a common functional food and a well-known traditional Chinese medicine (TCM) for the treatment of inflammatory diseases. Previous studies have revealed that FCI has anti-inflammatory activity, but little is known about its anti-inflammatory chemical profile. In this study, the potential anti-inflammatory constituents of FCI were investigated by ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) combined with the network pharmacology approach, and further confirmed on a LPS activated RAW264.7 macrophage model. As a result, a total of forty-two compounds, including thirty-two flavonoids, nine phenolic acids and one sesquiterpene, were identified. Among them, fourteen compounds including eight flavonoids (11, 17, 24, 28, 32, 39, 41 and 42) and six caffeoylquinic acids (3, 4, 5, 13, 15 and 20) were recognized as potential key anti-inflammatory constituents of FCI through network pharmacology analysis, because they accounted for 92% of the relative peak area in the UPLC-Q-TOF/MS chromatogram and acted on 87 of 97 the inflammatory targets of FCI. However, only 16 targets were shared between the flavonoids and caffeoylquinic acids, indicative of both acting on more different targets. Further the anti-inflammatory effects of the fourteen constituents were validated with the decreased levels of NO, TNF-α, IL-6 and PGE2 in RAW264.7 macrophage cells treated with LPS. Our results indicated that both flavonoids and caffeoylquinic acids were responsible for the anti-inflammatory effect of FCI through synergetic actions on multi-targets. Moreover, 3,5-dicaffeoylquinic acid (15), luteolin (24) and linarin (28) were the most important active constituents of FCI and could be selected as chemical markers for quality control of FCI. Overall, the findings not only explore the anti-inflammatory chemical constituents of FCI, but also provide novel insights into the effective constituents and mechanism of TCMs.

Depression is a complex disease characterized by a series of pathological changes. Research on depression is mainly focused on the changes in brain, but not on liver. Therefore, we initially explored the metabolic profiles of hepatic extracts from rats treated with chronic unpredictive mild stress (CUMS) by UPLC-Q-TOF/MS. Using multivariate statistical analysis, a total of 26 altered metabolites distinguishing CUMS-induced depression from normal control were identified. Using two-stage receiver operating characteristic (ROC) analysis, 18 metabolites were recognized as potential biomarkers related to CUMS-induced depression via 12 metabolic pathways. Subsequently, we detected the mRNA expressions levels of apoptosis-associated genes such as Bax and Bcl-2 and four key enzymes including Pla2g15, Pnpla6, Baat and Gad1 involved in phospholipid and primary bile acid biosynthesis in liver tissues of CUMS rats by real-time qRT-PCR assay. The expression levels of Bax, Bcl-2, Pla2g15, Pnpla6 and Gad1 mRNA were 1.43,1.68, 1.74, 1.67 and 1.42-fold higher, and those of Baat, Bax/Bcl-2 ratio mRNA were 0.83, 0.85-fold lower in CUMS rats compared with normal control. Results of liver-targeted metabonomics and mRNA expression demonstrated that CUMS-induced depression leads to variations in hepatic metabolic profile and gene expression, and ultimately results in liver injury.