Prevention of cisplatin-induced nephrotoxicity by glucosides of ascorbic acid and α-tocopherol

Maliakel, Dani Mathew; Kagiya, Tsutomu; Nair, Cherupally Krishnan Krishnan

doi:10.1016/j.etp.2008.04.015

Cited by 59 publications

(48 citation statements)

References 27 publications

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“…For example this relief may come in the form of antioxidant benefits related to these co-administrative agents. Vitamins C and E are known to provide nephroprotective effects to cisplatin induced kidney injury in mice (Ajith et al 2007;Maliakel et al 2008). Other co-administrative agents may behave as deactivators of toxicity pathways that are initiated upon drug administration.…”

Section: Introductionmentioning

confidence: 99%

Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology

et al. 2015

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Drug vehicles are chemical carriers that provide beneficial aid to the drugs they bear. Taking advantage of their favourable properties can potentially allow the safer use of drugs that are considered highly toxic. A means for vehicle selection without experimental trial would therefore be of benefit in saving time and money for the industry. Although machine learning is increasingly used in predictive toxicology, to our knowledge there is no reported work in using machine learning techniques to model drug-vehicle relationships for vehicle selection to minimise toxicity. In this paper we demonstrate the use of data mining and machine learning techniques to process, extract and build models based on classifiers (decision trees and random forests) that allow us to predict which vehicle would be most suited to reduce a drug's toxicity. Using data acquired from the National Institute of Health's (NIH) Developmental Therapeutics Program (DTP) we propose a methodology using an area under a curve (AUC) approach that allows us to distinguish which vehicle provides the best toxicity profile for a drug and build classification models based on this knowledge. Our results show that we can achieve prediction accuracies of 80 % using random forest models whilst the decision tree models produce Communicated by D. Neagu. Electronic supplementary materialThe online version of this article (doi:10.1007/s00500-015-1925-9) contains supplementary material, which is available to authorized users.

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Section: Introductionmentioning

confidence: 99%

Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology

et al. 2015

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“…1 The role of the oxidative stress in cisplatin-induced nephrotoxicity is indicated by the protective effect of several food-derived antioxidants such as vitamin C and α-tocopherol as well as the fl avonoids quercetin and naringenin. 2,3 Furthermore, in experiments in vitro, antioxidants or scavengers of reactive oxygen species (ROS) have a cytoprotective effect on cells exposed to cisplatin. 2 Aronia melanocarpa fruits are one of the richest natural sources of polyphenolic antioxidants and ROS scavengers 4 such as fl avonoids (mainly from the subclass of anthocyanins), procyanidins and phenolic acids.…”

Section: Introductionmentioning

confidence: 99%

Protective effect of aronia melanocarpa fruit juice in a model of cisplatin-induced cytotoxicity in vitro

Valcheva-Kuzmanova¹,

Beronova²,

Momekov³

2013

Folia Medica

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“…A number of chemoprotective agents have been investigated for their potential anti-inflammatory and antioxidant effect in different models of nephrotoxicity induced by cisplatin. A marked renoprotection has been proved with the synthetic agent such as glutamine , the multiple-vitamin supplementation (Ajith et al, 2007;Maliakel et al, 2008), mirtazapine drug (Sener et al, 2012), N-acetylcysteine (Dickey et al, 2008;Luo et al, 2008;Abdelrahman et al, 2010), vitamin E and selenium, (Antunes et al, 2001;Naziroglu et al, 2004;Nematbakhshand Nasri, 2013). An intensive search for potential natural therapeutic agents for oxidative damage has been carried out in medicinal plants (Yilmaz et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Renoprotective Effect of Centaurea choulettiana Pomel (Asteraceae) Leaves on Cisplatin-induced Oxidative Stress and Renal dysfunction in Mice

2017

J App Pharm Sci

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Several species of Centaurea genus are continuously used in traditional medicine. Cisplatin (CP) is still regarded as one of the principal chemotherapeutic agents used in the therapy of many human malignancies. However, the clinical use of CP is limited due to its serious nephrotoxicity. In this study we have investigated the possible renoprotective effects of n-BuOH extract of Centaurea choulettiana Pomel leaves (BECC) in a cisplatin-induced nephropathy model. The single dose administration of cisplatin (8 mg/kg body weight; ip) resulted in acute renal deterioration as evidenced by the elevation of blood urea nitrogen (BUN) level, creatinine level, renal oxidative stress associated with extensive vacuolization of epithelial cell, swelling, desquamation and necrosis as histopathological alterations. The mice pretreatment with BECC (150 mg/kg; 10 days) attenuated the increase renal dysfunction markers, creatinine (80.15 %), BUN (57.58%) and suppressed malondialdehyde (MDA) (54.90 %). The BECC pretreatment restored GSH level (63.29%) and reversed the antioxidant enzymes, CAT (67.61%), SOD (68.16%), GPX (66.38 %) and the GST activities (70.18 %). The vitamin E pretreatment suppressed MDA level (74.10%) preserved GSH level (80.59 %) and CAT, SOD, GPX, GST activities (84. 35%, 85.68 %, 77.90 %, 86.63 %) respectively. These finding indicated the comparable preventive effect of both BECC and vitamin E. The histopathological protection was clearly confirmed by the reduction of renal MPO Level (52.21%). Both biochemical results and histopathological evidence showed the renoprotective potential of Centaurea choulettiana, which was able to ameliorate CP-induced and renal dysfunction through its antioxidant capacity.

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Prevention of cisplatin-induced nephrotoxicity by glucosides of ascorbic acid and α-tocopherol

Cited by 59 publications

References 27 publications

Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology

Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology

Protective effect of aronia melanocarpa fruit juice in a model of cisplatin-induced cytotoxicity in vitro

Renoprotective Effect of Centaurea choulettiana Pomel (Asteraceae) Leaves on Cisplatin-induced Oxidative Stress and Renal dysfunction in Mice

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