Chemical diversity and biological activities of the saponins isolated from Astragalus genus: focus on Astragaloside IV

Graziani, Vittoria; Scognamiglio, Monica; Esposito, Assunta; Fiorentino, Antonio; D’Abrosca, Brigida

doi:10.1007/s11101-019-09626-y

Cited by 17 publications

(4 citation statements)

References 202 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…4 ). Astragaloside Ⅳ has been reported to have protective effects on the cardiovascular, immune, digestive, and nervous systems [ 25 , 26 ]. It is believed to be one of the bioactive as well as representative compounds in AR, and works as a widely used marker for the quality control of various AR preparations such as crude drugs, injections, and oral solutions [ 15 , 27 , 28 ].…”

Section: Discussionmentioning

confidence: 99%

Predicting the grades of Astragali radix using mass spectrometry-based metabolomics and machine learning

Nai

Guo

et al. 2021

Journal of Pharmaceutical Analysis

View full text Add to dashboard Cite

Astragali radix (AR, the dried root of Astragalus ) is a popular herbal remedy in both China and the United States. The commercially available AR is commonly classified into premium graded (PG) and ungraded (UG) ones only according to the appearance. To uncover novel sensitive and specific markers for AR grading, we took the integrated mass spectrometry-based untargeted and targeted metabolomics approaches to characterize chemical features of PG and UG samples in a discovery set ( n =16 batches). A series of five differential compounds were screened out by univariate statistical analysis, including arginine, calycosin, ononin, formononetin, and astragaloside Ⅳ, most of which were observed to be accumulated in PG samples except for astragaloside Ⅳ. Then, we performed machine learning on the quantification data of five compounds and constructed a logistic regression prediction model. Finally, the external validation in an independent validation set of AR ( n =20 batches) verified that the five compounds, as well as the model, had strong capability to distinguish the two grades of AR, with the prediction accuracy > 90%. Our findings present a panel of meaningful candidate markers that would significantly catalyze the innovation in AR grading.

show abstract

Section: Discussionmentioning

confidence: 99%

Predicting the grades of Astragali radix using mass spectrometry-based metabolomics and machine learning

Nai

Guo

et al. 2021

Journal of Pharmaceutical Analysis

View full text Add to dashboard Cite

show abstract

“…Astragaloside-IV is a biologically active astragaloside saponin isolated from astragalus [ 57 , 58 ]. It has been reported that astragaloside-IV has anti-inflammatory [ 59 , 60 ] and anti-oxidant [ 61 , 62 ] effects through anti-mitochondrial damage, and can prevent acute kidney [ 63 ] and tubular injury [ 64 ].…”

Section: Chemical Drugsmentioning

confidence: 99%

Emerging medical therapies in crush syndrome – progress report from basic sciences and potential future avenues

Wang

et al. 2020

Renal Failure

View full text Add to dashboard Cite

Crush injury is a disease that is commonly found in victims of earthquakes, debris flows, mine disasters, explosions, terrorist attacks, local wars, and other accidents. The complications that arise due to the crush injury inflicted on victims give rise to crush syndrome (CS). If not treated in time, the mortality rate of CS is very high. The most important measure that can be taken to reduce mortality in such situations is to immediately start treatment. However, the traditional treatment methods such as fluid resuscitation, diuresis, and hemodialysis are not feasible enough to be carried out at the disaster scene. So there is a need for developing new treatments that are efficient and convenient. Because it is difficult to diagnose in the disaster area and reach the treatment equipment and treat on time. It has become a new research needs to be directed into identifying new medical treatment targets and methods using the etiology and pathophysiological mechanisms of CS. In recent years, a large number of new anti-oxidant and anti-inflammatory drug therapies have been shown to be highly efficacious in CS rat/mouse models. Some of them are expected to become specific drugs for the emergency treatment of a large number of patients who may develop CS in the aftermath of earthquakes, wars, and other disasters in the future. Hence, we have reviewed the latest research on the medical therapy of CS as a source for anyone wishing to pursue research in this direction.

show abstract

“…From ancient times to the present, AR plays an important role in replenishing positive energy and strengthening the body, and it is a dual-use material for medicine and food that people cannot get away from. [6][7][8][9] AR has a complex composition, and relying on a single quality monitoring method as its quality standard is insufficient to meet the needs of quality control. Therefore, it is necessary to find a comprehensive and integrated quality control method to evaluate the quality of AR.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of quality consistency of Astragali radix by multi-dimensional profiles combined with chemometric analysis

Liu,

Yang,

Sun

et al. 2024

New J. Chem.

View full text Add to dashboard Cite

show abstract

Chemical diversity and biological activities of the saponins isolated from Astragalus genus: focus on Astragaloside IV

Cited by 17 publications

References 202 publications

Predicting the grades of Astragali radix using mass spectrometry-based metabolomics and machine learning

Predicting the grades of Astragali radix using mass spectrometry-based metabolomics and machine learning

Emerging medical therapies in crush syndrome – progress report from basic sciences and potential future avenues

Evaluation of quality consistency of Astragali radix by multi-dimensional profiles combined with chemometric analysis

Contact Info

Product

Resources

About