Demystifying Chronic Kidney Disease of Unknown Etiology (CKDu): Computational Interaction Analysis of Pesticides and Metabolites with Vital Renal Enzymes

Chronic kidney disease of unknown etiology (CKDu) has been recognized as a global non-communicable health issue. There are many proposed risk factors for CKDu and the exact reason is yet to be discovered. Understanding the inhibition or manipulation of vital renal enzymes by pesticides can play a ke...

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Main Authors: Harindu Rajapaksha, Dinesh R. Pandithavidana, Jayangika N. Dahanayake
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Biomolecules
Subjects:
Online Access:https://www.mdpi.com/2218-273X/11/2/261
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author Harindu Rajapaksha
Dinesh R. Pandithavidana
Jayangika N. Dahanayake
author_facet Harindu Rajapaksha
Dinesh R. Pandithavidana
Jayangika N. Dahanayake
author_sort Harindu Rajapaksha
collection DOAJ
description Chronic kidney disease of unknown etiology (CKDu) has been recognized as a global non-communicable health issue. There are many proposed risk factors for CKDu and the exact reason is yet to be discovered. Understanding the inhibition or manipulation of vital renal enzymes by pesticides can play a key role in understanding the link between CKDu and pesticides. Even though it is very important to take metabolites into account when investigating the relationship between CKDu and pesticides, there is a lack of insight regarding the effects of pesticide metabolites towards CKDu. In this study, a computational approach was used to study the effects of pesticide metabolites on CKDu. Further, interactions of selected pesticides and their metabolites with renal enzymes were studied using molecular docking and molecular dynamics simulation studies. It was evident that some pesticides and metabolites have affinity to bind at the active site or at regulatory sites of considered renal enzymes. Another important discovery was the potential of some metabolites to have higher binding interactions with considered renal enzymes compared to the parent pesticides. These findings raise the question of whether pesticide metabolites may be a main risk factor towards CKDu.
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spelling doaj.art-c0a8f046a2524191b9ac7569620e15142023-12-03T13:14:13ZengMDPI AGBiomolecules2218-273X2021-02-0111226110.3390/biom11020261Demystifying Chronic Kidney Disease of Unknown Etiology (CKDu): Computational Interaction Analysis of Pesticides and Metabolites with Vital Renal EnzymesHarindu Rajapaksha0Dinesh R. Pandithavidana1Jayangika N. Dahanayake2Department of Chemistry, Faculty of Science, University of Kelaniya, Dalugama, Kelaniya 11600, Western Province, Sri LankaDepartment of Chemistry, Faculty of Science, University of Kelaniya, Dalugama, Kelaniya 11600, Western Province, Sri LankaDepartment of Chemistry, Faculty of Science, University of Kelaniya, Dalugama, Kelaniya 11600, Western Province, Sri LankaChronic kidney disease of unknown etiology (CKDu) has been recognized as a global non-communicable health issue. There are many proposed risk factors for CKDu and the exact reason is yet to be discovered. Understanding the inhibition or manipulation of vital renal enzymes by pesticides can play a key role in understanding the link between CKDu and pesticides. Even though it is very important to take metabolites into account when investigating the relationship between CKDu and pesticides, there is a lack of insight regarding the effects of pesticide metabolites towards CKDu. In this study, a computational approach was used to study the effects of pesticide metabolites on CKDu. Further, interactions of selected pesticides and their metabolites with renal enzymes were studied using molecular docking and molecular dynamics simulation studies. It was evident that some pesticides and metabolites have affinity to bind at the active site or at regulatory sites of considered renal enzymes. Another important discovery was the potential of some metabolites to have higher binding interactions with considered renal enzymes compared to the parent pesticides. These findings raise the question of whether pesticide metabolites may be a main risk factor towards CKDu.https://www.mdpi.com/2218-273X/11/2/261CKDurenal enzymespesticidesmetabolitesmolecular dockingmolecular dynamics
spellingShingle Harindu Rajapaksha
Dinesh R. Pandithavidana
Jayangika N. Dahanayake
Demystifying Chronic Kidney Disease of Unknown Etiology (CKDu): Computational Interaction Analysis of Pesticides and Metabolites with Vital Renal Enzymes
Biomolecules
CKDu
renal enzymes
pesticides
metabolites
molecular docking
molecular dynamics
title Demystifying Chronic Kidney Disease of Unknown Etiology (CKDu): Computational Interaction Analysis of Pesticides and Metabolites with Vital Renal Enzymes
title_full Demystifying Chronic Kidney Disease of Unknown Etiology (CKDu): Computational Interaction Analysis of Pesticides and Metabolites with Vital Renal Enzymes
title_fullStr Demystifying Chronic Kidney Disease of Unknown Etiology (CKDu): Computational Interaction Analysis of Pesticides and Metabolites with Vital Renal Enzymes
title_full_unstemmed Demystifying Chronic Kidney Disease of Unknown Etiology (CKDu): Computational Interaction Analysis of Pesticides and Metabolites with Vital Renal Enzymes
title_short Demystifying Chronic Kidney Disease of Unknown Etiology (CKDu): Computational Interaction Analysis of Pesticides and Metabolites with Vital Renal Enzymes
title_sort demystifying chronic kidney disease of unknown etiology ckdu computational interaction analysis of pesticides and metabolites with vital renal enzymes
topic CKDu
renal enzymes
pesticides
metabolites
molecular docking
molecular dynamics
url https://www.mdpi.com/2218-273X/11/2/261
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AT jayangikandahanayake demystifyingchronickidneydiseaseofunknownetiologyckducomputationalinteractionanalysisofpesticidesandmetaboliteswithvitalrenalenzymes