Antioxidant, anti-inflammatory, and anti-diabetic assessment of (2Z)-2 (arylimino)-2Hchromene-3-carboxamides: An in vitro-in silico study by applying ANN-GA, MCDM, and RSM optimization techniques

被引:0
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作者
Saiah, Wassila [1 ]
Rabahi, Amal [2 ]
Boumaaza, Messaouda [3 ]
Hani, Mostefa [4 ,5 ]
Belaadi, Ahmed [6 ]
Chetbani, Yazid [5 ]
Saidi, Hamza [1 ]
Laouissi, Aissa [7 ]
Ghernaout, Djamel [8 ,9 ]
Ammarullah, Muhammad Imam [10 ,11 ]
Koceir, Elhadj-Ahmed [1 ]
机构
[1] Univ Sci & Technol Houari Boumediene, Fac Biol Sci, Lab Bioenerget & Intermediary Metab, BP 32, Algiers 16111, Algeria
[2] Univ Sci & Technol Houari Boumediene, Fac Chem, Lab Appl Organ Chem, Grp Heterocycles, BP 32, Algiers 16111, Algeria
[3] Univ 8 May 1945, Lab Civil Engn & Hydraul LGCH, POB 401, Guelma 24000, Algeria
[4] Eskisehir Tech Univ, Dept Civil Engn, TR-26555 Eskisehir, Turkiye
[5] Univ Djelfa, Fac Sci & Technol, Dept Civil Engn, Lab Mech & Mat Dev, POB 3117, Djelfa 17000, Algeria
[6] Univ 20 Aout 1955 Skikda, Fac Technol, Dept Mech Engn, El Hadaiek Skikda 21000, Algeria
[7] Mohamed El Bachir El Ibrahimi Univ, Fac Sci & Technol, Dept Mech Engn, Bordj Bou Arreridj, Algeria
[8] Univ Hail, Coll Engn, Chem Engn Dept, POB 2440, Hail 81441, Saudi Arabia
[9] Univ Blida, Chem Engn Dept, Fac Engn, POB 270, Blida 09000, Algeria
[10] Univ Diponegoro, Fac Engn, Dept Mech Engn, Semarang 50275, Central Java, Indonesia
[11] Univ Diponegoro, Undip Biomech Engn & Res Ctr UBM ERC, Semarang 50275, Central Java, Indonesia
关键词
Iminocoumarin; Antioxidant; Response surface methodology; Anti-inflammatory; Antidiabetic; Molecular docking; Artificial neural network; SURFACE METHODOLOGY RSM; RESPONSE-SURFACE; ALPHA-AMYLASE; EXTRACTION; LIFE;
D O I
10.1016/j.rechem.2025.102249
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This study investigates four novel iminocoumarin derivatives (3-6), previously synthesized and characterized, for their antioxidant, anti-inflammatory, and antidiabetic properties at different concentrations (12.5, 25, 50, 100, 200, 400, 800, and 1600 g/mL). Artificial neural network (ANN) approaches and response surface methodology (RSM) were used in a two-variable process that comprised iminocoumarins and concentrations to determine the impact of these compounds on the parameters that were monitored. The results indicated that the 2.2-diphenyl-1-picrylhydrazyl (DPPH) scavenging assay investigated the antioxidant activity of the synthesized compounds. The compounds expressed a remarkable DPPH inhibitory effect with IC50 values in the range of 45.04 and 108.61 mu g/ml. The anti-inflammatory activity was evaluated using an in vitro heat-induced hemolysis method. At 400 mu g/ml, the percentage of erythrocyte hemolysis inhibition of these compounds ranged from 18.23 f 0.18 % to 64.52 f 0.13 %. The antidiabetic activity was determined in vitro by the alpha-glucosidase and alpha-amylase inhibitory effects. The synthesized compounds were found to be potent inhibitors of alphaglucosidase with IC50 values ranging between 111.25 mu g/ml and 337.2 mu g/ml and alpha-amylase with IC50 values ranging between 101.84 mu g/ml and 339.81 mu g/ml. Additionally, the synthesized compounds underwent a molecular docking study against alpha-amylase. Moreover, there is a good correlation between experimental data and the ANN and RSM models. The R2 values for the inhibition of DPPH, alpha-glucosidase, alpha-amylase, and inflammation are 99.50 %, 98.96 %, 99.69 %, and 99.84 %, respectively; it is demonstrating the artificial neural network model's notable better accuracy and excellent agreement with the experimental findings. Thereby, the prepared molecules could serve as potential agents for the development of more powerful and effective antioxidants, anti-inflammatories, and antidiabetic compounds.
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页数:17
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