College of Pharmacy, Gansu University of Chinese Medicine, Lanzhou, China.
Key Laboratory for Chemistry and Quality of Traditional Chinese Medicine & Tibetan Medicine of Gansu Provincial Colleges, Lanzhou, China.
PLoS One. 2022 Nov 29;17(11):e0278113. doi: 10.1371/journal.pone.0278113. eCollection 2022.
Rheum tanguticum (R. tanguticum) has been widely used for the treatment of inflammatory diseases in clinical. However, limited research exist on the quality evaluation of various R. tanguticum locations, which has certain drawbacks. In this study, Fourier-transform infrared spectroscopy (FTIR) and high-performance liquid chromatography (HPLC) were used to comparative study on the chemical contents of R. tanguticum, to clarify the relationship between the chemical contents and the spatial distribution of R. tanguticum. First of all, the FTIR spectra of 18 batches of R. tanguticum were examined. Following the cluster analysis, the FTIR spectra of various production locations differed. To some extent, establishing the double index analysis sequence of common and variation peaks may differentiate distinct production locations of medicinal materials. The HPLC fingerprint of R. tanguticum was constructed to further explore the link between components and their origin. PCA of common peaks of 18 batches of R. tanguticum indicated that R. tanguticum grown in Gannan and Qinghai had a tendency to separate t[2], however this trend was not noticeable. Then, OPLS-DA model was established, and the key differential components of R. tanguticum produced in Gannan and Qinghai were discovered to be R16, R37, R46, and R47 (Aloe emodin) (VIP ≥ 1 and P < 0.05). At last, Pearson's test was used to examine the relationship between longitude, latitude, altitude, and composition. Longitude was significantly positively correlated with R28 and R30 (P < 0.05), and a very significantly positively correlated with R35, R36, R37, R46, and R47 (P < 0.01). Latitude was significantly negatively correlated with R34, R35, and R40 (P < 0.05), and extremely significantly negatively correlated with R28, R30, R36, R37, R46, and R47 (P < 0.01). Altitude was significantly positive correlation with R36 and R37 (P < 0.01). The results of our study can provide insights into R. tanguticum quality control and aid in establishing a natural medication traceability system.
藏药唐古特大黄的产地化学特征与质量评价相关性研究
唐古特大黄(Rheum tanguticum)在临床上广泛用于治疗炎症性疾病。然而,对于不同产地唐古特大黄的质量评价研究有限,存在一定的局限性。本研究采用傅里叶变换红外光谱(FTIR)和高效液相色谱(HPLC)对唐古特大黄的化学成分进行比较研究,阐明化学成分与唐古特大黄空间分布的关系。首先,对 18 批唐古特大黄的 FTIR 光谱进行了检测。通过聚类分析,不同产地的 FTIR 光谱存在差异。在一定程度上,建立共有和变异峰的双指标分析序列,可以区分不同产地的药材。构建唐古特大黄的 HPLC 指纹图谱,进一步探讨成分与其来源的关系。对 18 批唐古特大黄共有峰的 PCA 分析表明,生长在甘南和青海的唐古特大黄有分离趋势[t2],但这种趋势并不明显。然后,建立了 OPLS-DA 模型,发现甘南和青海产唐古特大黄的关键差异成分是 R16、R37、R46 和 R47(大黄素)(VIP≥1,P<0.05)。最后,采用 Pearson 检验考察经度、纬度、海拔与成分的关系。经度与 R28 和 R30 呈显著正相关(P<0.05),与 R35、R36、R37、R46 和 R47 呈极显著正相关(P<0.01)。纬度与 R34、R35 和 R40 呈显著负相关(P<0.05),与 R28、R30、R36、R37、R46 和 R47 呈极显著负相关(P<0.01)。海拔与 R36 和 R37 呈显著正相关(P<0.01)。本研究结果可为唐古特大黄的质量控制提供参考,并有助于建立天然药物溯源体系。