Potential therapeutic effect of Chrysopogon zizanioides (Vetiver) as an anti-inflammatory agent

Vetiver aerial parts and roots ameliorate rheumatoid arthritis in complete Freund's adjuvant rat model, a phytochemical profiling and mechanistic study

ETHNOPHARMACOLOGICAL RELEVANCE

Vetiver (Chrysopogon zizanioides) is indigenous to India where it is traditionally used to relief rheumatisms, lumbagos and sprains. Vetiver anti-inflammatory activity has not been previously investigated, and its specific interactions with body inflammation cascade remain largely unknown.

AIM OF THE STUDY

The present work was performed to validate the ethnobotanical use of the plant and compare the anti-inflammatory activities of the ethanolic extracts of the most traditionally used part (aerial part) to that of the root. Furthermore, we attempt to reveal the molecular mechanism of this anti-inflammatory activity in correlation to the chemical composition of C. zizanioides aerial (CA) and root parts (CR).

MATERIALS AND METHODS

Ultraperformance liquid chromatography coupled to high resolution mass spectrometry (UHPLC/HRMS) was used for comprehensive analysis of both CA and CR. The anti-inflammatory effect of both extracts was evaluated in complete Freund's adjuvant (CFA)-induced RA model in Wistar rats.

RESULTS

Phenolic metabolites were predominant in CA and 42 were identified for the first time, while only 13 were identified in CR. Meanwhile, triterpenes and sesquiterpenes were confined to the root extract. In CFA arthritis model, CA showed better anti-inflammatory activity than CR marked by an increase in serum level of IL-10 with simultaneous decrease in pro-inflammatory markers; IL-6, ACPA and TNF-α and was evident in histopathological examination. This anti-inflammatory effect was accompanied by down-regulation of JAK2/STAT3/SOCs3, ERK1/ERK2, TRAF6/c-FOS/NFATC1, TRAF6/NF-κB/NFATC1 and RANKL pathways which were all upregulated after CFA injection. These pathways were modulated to larger extent by CA, except for ERK1/ERK2 which was downregulated more effectively by CR. This differential effect between CA and CR can be explained by the variability in their phytoconstituents profile.

CONCLUSION

In agreement with the ethnobotanical preference, CA extract was more effective than CR extract in reducing the symptoms of RA probably due to its enrichment with flavonoids, lignans, and flavolignans. Both CA and CR reduced the production of inflammatory cytokines through modulating various biological signaling pathways. These findings support the traditional use of vetiver leaves as a remedy for RA and suggest that the use of the whole plant may offer advantage by synergistically affecting more inflammatory pathways.

Prediction of prognosis, immune infiltration and immunotherapy response with N6-methyladenosine-related lncRNA clustering patterns in cervical cancer

LncRNAs and tumor microenvironment (TME) exert an important effect in antitumor immunity. Nonetheless, the role of m⁶A-related lncRNA clustering patterns in prognosis, TME and immunotherapy of cervical cancer (CC) remains unknown. Here, based on 7 m⁶A-related prognostic lncRNAs obtained from TCGA-CC dataset, two m⁶AlncRNA clustering patterns were determined. m⁶AlncRNA clusterA was characterized by immune cell infiltrates and immune activation. m⁶AlncRNA clusterB was characterized by enrichment of immune evasion and tumorigenic activation pathways as well as survival and clinical stage disadvantage. Then, principal component analysis algorithms were used to construct m⁶AlncRNAscore based on prognostic differentially expressed genes between two m⁶AlncRNA clusters to quantify m⁶AlncRNA clustering patterns. m⁶AlncRNAscore was an independent prognostic protective factor. Higher Th2 and Treg cells and enrichment of immunosuppressive pathways were observed in the low-m⁶AlncRNAscore group, with poorer survival. High-m⁶AlncRNAscore was characterized by increased infiltration of activated CD8 T cell, enrichment of immune activation pathways, lower IL-10 and TGF-beta1 levels, and higher immunophenscore values, indicating inflamed TME and better anti-tumor immunotherapy efficacy. Quantitative Real-Time Polymerase Chain Reaction was used for detection of m⁶A-related prognostic lncRNAs. Collectively, we identified two m⁶AlncRNA clustering patterns which play a nonnegligible role in the prognosis, TME heterogeneity and immunotherapy of CC patients.