Swahili
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Ethnopharmacology 2011-Oct

Using neural networks to determine the contribution of danshensu to its multiple cardiovascular activities in acute myocardial infarction rats.

Watumiaji waliosajiliwa tu ndio wanaweza kutafsiri nakala
Ingia / Ingia
Kiungo kimehifadhiwa kwenye clipboard
Yuan-Cheng Chen
Wan-Wen Cao
Yuan Cao
Lin Zhang
Bo-Bo Chang
Wen-Liang Yang
Xiao-Quan Liu

Maneno muhimu

Kikemikali

BACKGROUND

Danshensu is an active water-soluble component from Salvia Miltiorrhiza, which has been demonstrated holding multiple mechanisms for the regulation of cardiovascular system. However, the relative contribution of danshensu to its multiple cardiovascular activities remains largely unknown.

OBJECTIVE

To develop an artificial neural network (NN) model simultaneously characterizing danshensu pharmacokinetics and multiple cardiovascular activities in acute myocardial infarction (AMI) rats. The relationship between danshensu pharmacokinetics (PK) and pharmacodynamics (PD) were evaluated using contribution values.

METHODS

Danshensu was intraperitoneally injected at a single dose of 20mg/kg to AMI rats induced by coronary artery ligation. Plasma levels of danshensu, cardiac troponin T (cTnT), total homocysteine (Hcy) and reduced glutathione (GSH) were quantified. A back-propagation NN model was developed to characterize the PK and PD profiles of danshensu, in which the input variables contained time, area under plasma concentration-time curve (AUC) of danshensu and rat weights (covariate). Relative contribution of input variable to the output neurons was evaluated using neuron connection weights according to Garson's algorithm. The kinetics of contribution values was also compared and was validated using bootstrap resampling method.

RESULTS

Danshensu exerted significant cTnT-lowering, Hcy- and GSH-elevating effect, and these marker profiles were well captured by the trained NN model. The calculation of relative contributions revealed that the effect of danshensu on the PD marker could be ranked as cTnT>GSH>Hcy, while the effect of AMI disease on the PD marker could be ranked in the following order: cTnT>Hcy>GSH. The activity of transsulfuration pathway was quite obvious under the AMI state.

CONCLUSIONS

NN is a powerful tool linking PK and PD profiles of danshensu with multiple cardioprotective mechanisms, it provides a simple method for identifying and ranking relative contribution to the multiple therapeutic effects of the drug.

Jiunge na ukurasa
wetu wa facebook

Hifadhidata kamili ya mimea ya dawa inayoungwa mkono na sayansi

  • Inafanya kazi katika lugha 55
  • Uponyaji wa mitishamba unaungwa mkono na sayansi
  • Kutambua mimea kwa picha
  • Ramani ya GPS inayoshirikiana
  • Soma machapisho ya kisayansi yanayohusiana na utafutaji wako
  • Tafuta mimea ya dawa na athari zao
  • Panga maslahi yako na fanya tarehe ya utafiti wa habari, majaribio ya kliniki na ruhusu

Andika dalili au ugonjwa na usome juu ya mimea ambayo inaweza kusaidia, chapa mimea na uone magonjwa na dalili ambazo hutumiwa dhidi yake.
* Habari zote zinategemea utafiti wa kisayansi uliochapishwa

Google Play badgeApp Store badge