1. An integrative translational framework for chemical induced neurotoxicity – a systematic review
- Author
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Vikas Kumar, Deepika Deepika, Marta Schuhmacher, and Raju Prasad Sharma
- Subjects
Proteomics ,0303 health sciences ,business.industry ,In silico ,Neurotoxicity ,Translation (biology) ,Genomics ,Computational biology ,in vitro, in vivo, epidemiology, in silico, translation, neurotoxicity ,010501 environmental sciences ,Toxicology ,medicine.disease ,Nervous System ,Risk Assessment ,01 natural sciences ,03 medical and health sciences ,Animals ,Humans ,Medicine ,Neurotoxicity Syndromes ,business ,Biomarkers ,030304 developmental biology ,0105 earth and related environmental sciences - Abstract
Many chemicals in day-to-day and industrial usage have the ability to cross the blood–brain barrier and develop neurotoxicity in humans. There are numerousinvitro,invivo, epidemiological andin silicostudies developed to test the neurotoxicity of such chemicals. This systematic review summarized the endpoints and biochemical markers generated frominvitromodels, organism-based models, human studies andin silicotools and how they are used to translate the data for risk assessment of neurotoxic chemicals. Increased evidence about different biomarkers through genomics and proteomics has developed data related to genes and proteins facilitating some understanding about the molecular mechanism of neurotoxicity. Fluid-based biomarkers such as those found in serum, plasma and urine from human studies act as indirect endpoints for neurotoxicity. Meanwhile, with improvement in knowledge of molecular mechanisms and different biomarkers, there is a potential to develop a translational platform that can integrate the biological data from different studies mechanistically and thereby translated across intra and interspecies for neurotoxicity assessment. Further, this review proposed an integrative translational framework combining experimental andin silicostudies like toxicokinetic models and integrative systems biology to assess the chemicals for neurotoxicity. This framework can be used to predict the inherent risk of neurotoxicity and extend to such chemicals where less experimental data exists.
- Published
- 2020
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