A novel multi-omics-based highly accurate prediction of symptoms, comorbid conditions, and possible long-term complications of COVID-19

被引:17
作者
Barh, Debmalya [1 ]
Tiwari, Sandeep [2 ]
Andrade, Bruno Silva [3 ]
Weener, Marianna E. [4 ]
Goes-Neto, Aristoteles [5 ]
Azevedo, Vasco [2 ]
Ghosh, Preetam [6 ]
Blum, Kenneth [7 ]
Ganguly, Nirmal Kumar [8 ,9 ,10 ]
机构
[1] Inst Integrat Omics & Appl Biotechnol IIOAB, Ctr Genom & Appl Gene Technol, Purba Medinipur, WB, India
[2] Univ Fed Minas Gerais, Inst Ciencias Biol, Dept Genet Ecol & Evolucao, Lab Genet Celular & Mol, Belo Horizonte, MG, Brazil
[3] Univ Estadual Sudoeste Bahia UESB, Dept Ciencias Biol, Lab Bioinformat & Quim Computac, Jequie, BA, Brazil
[4] CRO, Oftalm, Clin Res Ctr, 119334 Bardina Str 22-4, Moscow, Russia
[5] Univ Fed Minas Gerais UFMG, Inst Ciencias Biol, Dept Microbiol, Lab Biol Mol & Computac Fungos, Belo Horizonte, MG, Brazil
[6] Virginia Commonwealth Univ, Dept Comp Sci, Richmond, VA 23284 USA
[7] Western Univ Hlth Sci, Pomona, CA USA
[8] Natl Inst Immunol, New Delhi, India
[9] Inst Liver & Biliary Sci, New Delhi, India
[10] Translat Hlth Sci & Technol Inst, Policy Ctr Biomed Res, Faridabad, Haryana, India
关键词
CORONAVIRUS DISEASE 2019; SARS-COV-2; INFECTION; DERMATOLOGICAL MANIFESTATIONS; ENRICHMENT ANALYSIS; DIABETES-MELLITUS; CASE-FATALITY; METAANALYSIS; CANCER; SEVERITY; OUTCOMES;
D O I
10.1039/d0mo00189a
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Comprehensive clinical pictures, comorbid conditions, and long-term complications of COVID-19 are still unknown. Recently, using a multi-omics-based strategy, we predicted potential drugs for COVID-19 with similar to 70% accuracy. Herein, using a novel multi-omics-based bioinformatic approach and three ways of analysis, we identified the symptoms, comorbid conditions, and short-, mid-, and possible long-term complications of COVID-19 with >90% precision including 27 parent, 170 child, and 403 specific conditions. Among the specific conditions, 36 viral, 53 short-term, 62 short-mid-long-term, 194 mid-long-term, and 57 congenital conditions are identified. At a threshold "count of occurrence" of 4, we found that 83-100% (average 92.67%) of enriched conditions are associated with COVID-19. Except for dry cough and loss of taste, all the other COVID-19-associated mild and severe symptoms are enriched. CVDs, and pulmonary, metabolic, musculoskeletal, neuropsychiatric, kidney, liver, and immune system disorders are top comorbid conditions. Specific diseases like myocardial infarction, hypertension, COPD, lung injury, diabetes, cirrhosis, mood disorders, dementia, macular degeneration, chronic kidney disease, lupus, arthritis, etc. along with several other NCDs were found to be top candidates. Interestingly, many cancers and congenital disorders associated with COVID-19 severity are also identified. Arthritis, gliomas, diabetes, psychiatric disorders, and CVDs having a bidirectional relationship with COVID-19 are also identified as top conditions. Based on our accuracy (>90%), the long-term presence of SARS-CoV-2 RNA in human, and our "genetic remittance" assumption, we hypothesize that all the identified top-ranked conditions could be potential long-term consequences in COVID-19 survivors, warranting long-term observational studies.
引用
收藏
页码:317 / 337
页数:21
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