کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2421410 1552828 2016 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Systematic screening identifies synergistic combinations of traditional Chinese medicines and ingredients against Dactylogyrus infections using a goldfish model
ترجمه فارسی عنوان
غربالگری سیستماتیک شناسایی ترکیب هم افزایی از داروهای سنتی چینی و مواد تشکیل دهنده را در برابر عفونت داکتیلوژیروس با استفاده از مدل ماهی قرمز
کلمات کلیدی
Dactylogyrus؛ ترکیبات ترکیبی؛ انتهلمینتیک؛ غربالگری سیستماتیک
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم آبزیان
چکیده انگلیسی


• Eleven synergistic binary-combinations of traditional Chinese medicine (TCMs) were identified against Dactylogyrus.
• Rhizome of peltate yam can non-specifically increase anthelmintic efficacies of many other TCMs.
• Gracillin, had the highest synergy rate and increased anthelmintic efficacies of active compounds from TCMs.

Combinatorial therapy is a promising strategy for infectious diseases because it may result in improved efficacy and reduced side effects. No synergistic drug combinations, however, have yet been identified for control of fish infectious diseases based on systematic screening. In this study, 10 kinds of traditional Chinese medicines (TCMs) demonstrating a strong anthelmintic effect against Dactylogyrus were selected for systematic screening, and a total of 45 pairs of TCMs extracts were examined. Eleven synergistic anthelmintic pairs were identified, and 7 of which contained rhizome of peltate yam (RPY). Furthermore, the synergy assessment of anthelmintic compounds from the TCMs demonstrated that gracillin (GR)—the main active compound of RPY—has the highest synergy rate (71.4%). The results suggested that RPY can be referred as a promiscuous synergizer which non-specifically increases the effects of many other TCMs. The discovery of promiscuous synergizer can accelerate the search for synergistic combinations. Besides, this work also provides a feasible means to prioritize combination tests via measuring the background ratio of different interaction types.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Aquaculture - Volume 459, 1 June 2016, Pages 198–202
نویسندگان
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