Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases
文献类型：期刊论文
| 作者 | Rahman, Md Habibur3; Rana, Humayan Kabir2; Peng, Silong1 ; Kibria, Md Golam4; Islam, Md Zahidul6; Mahmud, S. M. Hasan5; Moni, Mohammad Ali7
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| 刊名 | COMPUTERS IN BIOLOGY AND MEDICINE
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| 出版日期 | 2021-11-01 |
| 卷号 | 138页码:23 |
| ISSN号 | 0010-4825 |
| 关键词 | Bioinformatics Transcriptomic analysis COVID-19 Neurological diseases Pathways Ontology Proteins Semantic similarity |
| DOI | 10.1016/j.compbiomed.2021.104859 |
| 通讯作者 | Moni, Mohammad Ali(m.moni@uq.edu.au) |
| 英文摘要 | The Coronavirus Disease 2019 (COVID-19) still tends to propagate and increase the occurrence of COVID-19 across the globe. The clinical and epidemiological analyses indicate the link between COVID-19 and Neurological Diseases (NDs) that drive the progression and severity of NDs. Elucidating why some patients with COVID-19 influence the progression of NDs and patients with NDs who are diagnosed with COVID-19 are becoming increasingly sick, although others are not is unclear. In this research, we investigated how COVID-19 and ND interact and the impact of COVID-19 on the severity of NDs by performing transcriptomic analyses of COVID-19 and NDs samples by developing the pipeline of bioinformatics and network-based approaches. The transcriptomic study identified the contributing genes which are then filtered with cell signaling pathway, gene ontology, protein-protein interactions, transcription factor, and microRNA analysis. Identifying hub-proteins using protein-protein interactions leads to the identification of a therapeutic strategy. Additionally, the incorporation of comorbidity interactions score enhances the identification beyond simply detecting novel biological mechanisms involved in the pathophysiology of COVID-19 and its NDs comorbidities. By computing the semantic similarity between COVID-19 and each of the ND, we have found gene-based maximum semantic score between COVID-19 and Parkinson's disease, the minimum semantic score between COVID-19 and Multiple sclerosis. Similarly, we have found gene ontology-based maximum semantic score between COVID-19 and Huntington disease, minimum semantic score between COVID-19 and Epilepsy disease. Finally, we validated our findings using gold-standard databases and literature searches to determine which genes and pathways had previously been associated with COVID-19 and NDs. |
| WOS关键词 | MULTIPLE-SCLEROSIS ; ALZHEIMERS-DISEASE ; BRAIN INFLAMMATION ; PATHWAY ; ASSOCIATION ; METABOLISM ; MICROGLIA ; CELLS ; GEO ; APP |
| WOS研究方向 | Life Sciences & Biomedicine - Other Topics ; Computer Science ; Engineering ; Mathematical & Computational Biology |
| 语种 | 英语 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:000710663000001 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/46297]  |
| 专题 | 自动化研究所_智能制造技术与系统研究中心_多维数据分析团队 |
| 通讯作者 | Moni, Mohammad Ali |
| 作者单位 | 1.Chinese Acad Sci, Univ Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Green Univ Bangladesh, Dept Comp Sci & Engn, Dhaka, Bangladesh 3.Islamic Univ, Dept Comp Sci & Engn, Kushtia 7003, Bangladesh 4.Univ Calgary, Schulich Sch Engn, Dept Chem & Petr Engn, Calgary, AB, Canada 5.Amer Int Univ Bangladesh, Dept Comp Sci, Dhaka, Bangladesh 6.Nagoya Univ, Grad Sch Engn, Dept Elect, Nagoya, Aichi, Japan 7.Univ Queensland, Fac Hlth & Behav Sci, Sch Hlth & Rehabil Sci, St Lucia, Qld 4072, Australia |
| 推荐引用方式 GB/T 7714 | Rahman, Md Habibur,Rana, Humayan Kabir,Peng, Silong,et al. Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases[J]. COMPUTERS IN BIOLOGY AND MEDICINE,2021,138:23. |
| APA | Rahman, Md Habibur.,Rana, Humayan Kabir.,Peng, Silong.,Kibria, Md Golam.,Islam, Md Zahidul.,...&Moni, Mohammad Ali.(2021).Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases.COMPUTERS IN BIOLOGY AND MEDICINE,138,23. |
| MLA | Rahman, Md Habibur,et al."Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases".COMPUTERS IN BIOLOGY AND MEDICINE 138(2021):23. |
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来源：自动化研究所
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