Comparative Analysis of Metabolic Compositions and Trace Elements of Ornithogalum caudatum with Different Growth Years

Abstract

As a traditional medicine with extensive history, Ornithogalum caudatum has high nutritional and medicinal value. However, its quality evaluation criteria are insufficient because it is not included in the pharmacopeia. Simultaneously, it is a perennial plant, and the medicinal ingredients change with the growth years. Currently, studies on the synthesis and accumulation of metabolites and elements in O. caudatum during different growth years are unavailable. To address this issue, in this study, the 8 main active substances, metabolism profiles, and 12 trace elements of O. caudatum from different growth years (1, 3, and 5 years old) were analyzed. The main substances of O. caudatum changed significantly in different years of growth. Saponin and sterol contents increased with age; however, the polysaccharide content decreased. For metabolism profiling, ultrahigh-performance liquid chromatography tandem mass spectrometry was performed. Among the three groups, 156 differential metabolites with variable importance in projection values >1.0 and p < 0.05 were identified. Among the differential metabolites, 16 increased with increasing years of growth and have the potential to become age-identified markers. A trace element study showed that the contents of K, Ca, and Mg were higher, and the ratio of Zn/Cu was less than 0.1%. Heavy metal ions in O. caudatum did not increase with age. The results of this study provide a basis to evaluate the edible values of O. caudatum and facilitate further exploitation.

Shenfu injection improves isoproterenol-induced heart failure in rats by modulating co-metabolism and regulating the trimethylamine-N-oxide - inflammation axis

“…The origin and function analysis of metabolites was performed using MetOrigin (Liu et al, 2023). This methodology aligns with the approach described in a previous publication (Zhao et al, 2023).…”

Table2.XLSX

“…The origin and function analysis of metabolites was performed using MetOrigin (Liu et al, 2023). This methodology aligns with the approach described in a previous publication (Zhao et al, 2023).…”

Table4.CSV

“…The origin and function analysis of metabolites was performed using MetOrigin (Liu et al, 2023). This methodology aligns with the approach described in a previous publication (Zhao et al, 2023).…”