Distinguished Scientist Laboratory, Biotech Park, Sector-G Jankipram, Kursi Road, Lucknow 226021, Uttar Pradesh, India.
Distinguished Scientist Laboratory, Biotech Park, Lucknow 226021, Uttar Pradesh, India.
Rev Neurosci. 2018 Sep 25;29(7):771-789. doi: 10.1515/revneuro-2017-0097.
Neurological disorders have aroused a significant concern among the health scientists globally, as diseases such as Parkinson's, Alzheimer's and dementia lead to disability and people have to live with them throughout the life. Recent evidence suggests that a number of environmental chemicals such as pesticides (paraquat) and metals (lead and aluminum) are also the cause of these diseases and other neurological disorders. Biomarkers can help in detecting the disorder at the preclinical stage, progression of the disease and key metabolomic alterations permitting identification of potential targets for intervention. A number of biomarkers have been proposed for some neurological disorders based on laboratory and clinical studies. In silico approaches have also been used by some investigators. Yet the ideal biomarker, which can help in early detection and follow-up on treatment and identifying the susceptible populations, is not available. An attempt has therefore been made to review the recent advancements of in silico approaches for discovery of biomarkers and their validation. In silico techniques implemented with multi-omics approaches have potential to provide a fast and accurate approach to identify novel biomarkers.
神经紊乱疾病已引起全球健康科学家的高度关注，因为帕金森病、阿尔茨海默病和痴呆等疾病会导致残疾，人们必须终生与之共存。最近的证据表明，一些环境化学物质，如杀虫剂（百草枯）和金属（铅和铝），也是这些疾病和其他神经紊乱疾病的病因。生物标志物可帮助在临床前阶段、疾病进展和关键代谢组学改变中检测到该疾病，从而确定潜在的干预目标。一些生物标志物已经基于实验室和临床研究在一些神经紊乱疾病中被提出。一些研究人员也使用了计算方法。然而，目前还没有能够帮助早期检测、治疗随访和识别易感人群的理想生物标志物。因此，尝试对计算方法在生物标志物发现和验证方面的最新进展进行综述。结合多组学方法的计算技术具有提供快速、准确识别新型生物标志物的潜力。
