Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation by determination of MDA

Abstract

Oxidative stress (OS) associated with reactive oxygen species (ROS) attacks many biomolecules, leading to cell death, lipid peroxidation (LP), and physiological mechanism damage in the human body because of its reaction with nucleotides, membrane lipids, and proteins. Malondialdehyde (MDA) is one of the end products of polyunsaturated fatty acids peroxidation. The elevated level of MDA is widely known as a biomarker for the indirect measurement of OS during LP. Although several derivatizations' approaches and successful commercial kits are available, their analytical validity and reliability in clinical studies require further attention to obtain robust quantitation and high‐quality data. Also, re‐evaluation and development of new analytical methods with high sensitivity and selectivity in response to free MDA and total MDA, DNA and protein adducts are not well‐characterized. Here, response surface methodology (RSM) and artificial neural network (ANN) were proposed to model, predict, and optimize MDA detection. This paper introduced a novel, simple, and fast modeling method using a new reagent (para methoxy aniline or PMA) for the first time to convert MDA to an adduct which could be detectable by UV‐Vis spectroscopy. Based on the interactions between MDA and PMA at times and temperatures, RSM and artificial intelligence network (AIN) were then applied to forecast the absorbance rate of MDA‐PMA. The optimum mode for the highest absorbance rate of MDA‐PMA is at the temperature of 74.99°C with a PMA concentration of 499.87 μM and MDA concentration of 49.98 μM. The best structure with five hidden layers, including 5,5,5,9,4 neurons with the transfer function logsig for each layer, was selected for the MLP‐ANN model. The maximum error rate of the MLP‐ANN model was 2.08%.Our new approach is an improvement over existing assay kits, overcoming limitations such as time, temperature, and reliability with a bright future to target increased MDA level in human samples.

Arctigenin from Fructus arctii Exhibits Antiaging Effects via Autophagy Induction, Antioxidative Stress, and Increase in Telomerase Activity in Yeast

“…However, when there is an imbalance between oxidation and antioxidation in the body, excessive accumulation of ROS will result in oxidative stress, which is harmful to the body [ 14 ]. MDA, one of the end products of polyunsaturated fatty acids after ROS degradation, is a substance that can mutate proteins to be toxic, which is a biomarker of oxidative stress [ 37 ]. Therefore, we reflected the anti-oxidative stress effect of ATG by testing its effect on ROS and MDA levels.…”

“…Natural plants stand as the important sources for drug development, yielding a plenty of small molecules with anti-aging activity including RES, Rapa, and quercetin [ 3 , 37 ]. Fructus arctii possess particularly great medicinal value for its rich content of lignans, which shows various biological activities such as lowering blood glucose, anti-cancer, anti-oxidation, and anti-inflammation [ 23 , 38 ].…”

A study on assessing the toxic effects of ethyl paraben on rohu (Labeo rohita) using different biomarkers; hemato-biochemical assays, histology, oxidant and antioxidant activity and genotoxicity

“…In tissue damage, the primary biomarker for lipid peroxidation is TBARS assay. TBARS assay is the measurement of MDA (malondialdehyde) [ 53 ]. Due to being lipophilic in nature, ethylparaben can easily cross the plasma membrane and increase MDA level and consequently increase ROS.…”

Comparison of lipopolysaccharide-mediated peripheral blood mononuclear cell activation between Brahman and Brahman x Thai native crossbreed cattle

“…Malondialdehyde (MDA) is an end product of the peroxidation of polyunsaturated fatty acids. Elevated MDA level is widely known as a biomarker for indirect measurement of oxidative stress [ 12 ]. Nitric oxide (NO) is a ubiquitous gaseous molecule that can freely pass across cell membranes.…”