| Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases | |
Rahman, Md Habibur1; Rana, Humayan Kabir2; Peng, Silong3 ; Kibria, Md Golam4; Islam, Md Zahidul5; Mahmud, S. M. Hasan6; Moni, Mohammad Ali7
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| Source Publication | COMPUTERS IN BIOLOGY AND MEDICINE
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| ISSN | 0010-4825 |
| 2021-11-01 | |
| Volume | 138Pages:23 |
| Corresponding Author | Moni, Mohammad Ali(m.moni@uq.edu.au) |
| Abstract | 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. |
| Keyword | Bioinformatics Transcriptomic analysis COVID-19 Neurological diseases Pathways Ontology Proteins Semantic similarity |
| DOI | 10.1016/j.compbiomed.2021.104859 |
| WOS Keyword | MULTIPLE-SCLEROSIS ; ALZHEIMERS-DISEASE ; BRAIN INFLAMMATION ; PATHWAY ; ASSOCIATION ; METABOLISM ; MICROGLIA ; CELLS ; GEO ; APP |
| Indexed By | SCI |
| Language | 英语 |
| WOS Research Area | Life Sciences & Biomedicine - Other Topics ; Computer Science ; Engineering ; Mathematical & Computational Biology |
| WOS Subject | Biology ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology |
| WOS ID | WOS:000710663000001 |
| Publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/46298 |
| Collection | 智能制造技术与系统研究中心_多维数据分析 |
| Corresponding Author | Moni, Mohammad Ali |
| Affiliation | 1.Islamic Univ, Dept Comp Sci & Engn, Kushtia 7003, Bangladesh 2.Green Univ Bangladesh, Dept Comp Sci & Engn, Dhaka, Bangladesh 3.Chinese Acad Sci, Univ Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 4.Univ Calgary, Schulich Sch Engn, Dept Chem & Petr Engn, Calgary, AB, Canada 5.Nagoya Univ, Grad Sch Engn, Dept Elect, Nagoya, Aichi, Japan 6.Amer Int Univ Bangladesh, Dept Comp Sci, Dhaka, Bangladesh 7.Univ Queensland, Fac Hlth & Behav Sci, Sch Hlth & Rehabil Sci, St Lucia, Qld 4072, Australia |
| Recommended Citation 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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