Shenyang Pharmaceutical University, 103 Wenhua Road Shenhe District, 110016, Shenyang, Liaoning Province, China.
State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Lianyungang, Jiangsu, 222001, China.
Anal Biochem. 2022 Jan 15;637:114474. doi: 10.1016/j.ab.2021.114474. Epub 2021 Nov 19.
Yaobitong capsule (YBTC) has been used for the prevention and treatment of inflammation-related lumbago and leg pain. However, its intervention mechanism still remains unclear. This study was aimed to evaluate the control efficiency of YBTC on adjuvant-induced rheumatoid arthritis (RA) rats by metabonomic method and to explore its possible anti-arthritis mechanism. Taking into account the complexity of endogenous metabolites in serum samples, an integrated metabolomics method based on RP/HILIC-UHPLC-Q-TOF MS was developed, to overcome the limitations of a single chromatographic in this study. The results showed that 32 potential biomarkers of arthritis were identified, primarily related to amino acid metabolism, glucose metabolism, lipid metabolism and nucleotide metabolism. Further receiver operating characteristic analysis revealed that the area under the curve of two down-regulated metabolites (3-Hydroxy-hexadecanoic acid, 2-Oxoarginine) and one up-regulated metabolite (l-Glutamic acid) among 32 biomarkers were 0.906, 0.969 and 1.000, respectively, indicating that high predictive ability of this method for RA. In this study, an integrated serum metabolomics method based on high-resolution mass spectrometry was successfully established for the first time to study the intervention mechanism of YBTC in RA, providing evidence regarding the clinical application of YBTC and a new insight for the prevention of RA in the future.
腰痹通胶囊(YBTC)已被用于预防和治疗与炎症相关的腰痛和腿痛。然而,其干预机制尚不清楚。本研究旨在通过代谢组学方法评估 YBTC 对佐剂诱导的类风湿关节炎(RA)大鼠的控制效率,并探讨其可能的抗关节炎机制。考虑到血清样本中内源性代谢物的复杂性,本研究采用基于 RP/HILIC-UHPLC-Q-TOF MS 的综合代谢组学方法,克服了单一色谱在本研究中的局限性。结果表明,鉴定出 32 种潜在的关节炎生物标志物,主要与氨基酸代谢、葡萄糖代谢、脂质代谢和核苷酸代谢有关。进一步的受试者工作特征分析显示,在 32 种生物标志物中,两种下调代谢物(3-羟基-十六烷酸、2-氧代精氨酸)和一种上调代谢物(l-谷氨酸)的曲线下面积分别为 0.906、0.969 和 1.000,表明该方法对 RA 具有较高的预测能力。本研究首次成功建立了基于高分辨率质谱的综合血清代谢组学方法来研究 YBTC 对 RA 的干预机制,为 YBTC 的临床应用提供了证据,并为未来预防 RA 提供了新的思路。