يعتبر "تاج الأشواك" أو نبات شوكة المسيح، وهو من نباتات الزينة الطبية ، ينتمي إلى جنس يوفوربيا. E. milii يحتوي كميات وفيرة من المركبات الفينولية ، التربينات، الستيرويدات والقلويدات. كانت الأهداف الرئيسية لهذه الدراسة هي فحص مستخلصات الفلافونويد والنانو فلافونويد ضد نوعين من خطوط الخلايا السرطانية. تم تصنيع مركبات الفلافونويد النانوية عن طريق تفاعل مركب الكيتوسان والماليك اسد. تم تحليل مركبات الفلافونويد النانوية بواسطة مقياس الطيف الضوئي UV-sp -8001 بطول موجي 200-1000 نانومتر ، تم استخدام المجهر الإلكتروني (TEM) والمجهري الإلكتروني الماسح(SEM) لتحديد الخصائص المورفولوجية لمركبات الفلافونويد النانوية. يعتبر الفلافونويد والنانوفلافونويدعقار قوي ومتطور ضد خلايا سرطان الثدي (MCF-7) وخلايا سرطان البروستات(PC3) . تم فحص الفعالية المضادة للسرطان من مركبات الفلافونويد والنانوفلافونويد على خطين مختلفين من الخلايا السرطانية وكذلك خطوط الخلايا السليمة باستخدام اختبار MTT. تم استخدام تجزئة الحمض النووي وتقنية تلوين الخلايا بالصبغة المزدوجة AO / EtBr لفحص علامات موت الخلايا المبرمج. لتحديد تشتت دورة الخلية ، تم استخدام قياس التدفق الخلوي ، وأظهرت النتائج أن كميات الفلافونويد والنانوفلافونويد لها نشاطا ساما وفعالا ضد خطوط خلايا سرطان الثدي والبروستات. بالإضافة إلى ذلك ، تم ربط إيقاف دورة الخلية في مرحلة G0 / G1 بموت الخلايا المبرمج لخطوط الخلايا التي يسببها الفلافونويد والنانوفلافونويد. وفقًا لهذه النتائج ، تمنع مركبات الفلافونويد والنانوفلافونويد من تكاثر خطوط الخلايا السرطانية ، مما يؤدي إلى توقف دورة الخلية وتحفيز موت الخلايا المبرمج. تشير النتائج المتاحة إلى أن مركب الفلافونويد والنانوفلافونويد سيمثل نهجًا علاجيًا واعدًا لعلاج الخلايا السرطانية من الأنواع الأخرى.
Receipt date: 8/8/2020 acceptance date: 9/11/2020 Publication date: 31/12/2021
This work is licensed under a Creative Commons Attribution 4.0 International License.
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ABSTRACT
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The main research problem has been the following question: Is there a relationship and the impact of bet
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Assembly Robot Arm (SCARA) manipulator robot will be described. The proposed model of
identification strategy consists of a feed-forward neural network with a modified activation function that
operates in parallel with the SCARA robot model. Feed-Forward Neural Networks (FFNN) which have
been trained online and offline have been used, without requiring any previous knowledge about the
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