{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T15:06:17Z","timestamp":1778943977982,"version":"3.51.4"},"reference-count":210,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2021,2,18]],"date-time":"2021-02-18T00:00:00Z","timestamp":1613606400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"},{"start":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T00:00:00Z","timestamp":1645142400000},"content-version":"am","delay-in-days":365,"URL":"http:\/\/rsc.li\/journals-terms-of-use"}],"content-domain":{"domain":["rsc.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,2,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>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 \u223c70% 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 &amp;gt;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 \u201ccount of occurrence\u201d of 4, we found that 83\u2013100% (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 (&amp;gt;90%), the long-term presence of SARS-CoV-2 RNA in human, and our \u201cgenetic remittance\u201d 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.<\/jats:p>\n                  <jats:p\/>","DOI":"10.1039\/d0mo00189a","type":"journal-article","created":{"date-parts":[[2021,2,18]],"date-time":"2021-02-18T11:44:56Z","timestamp":1613648696000},"page":"317-337","update-policy":"https:\/\/doi.org\/10.1039\/rsc_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["A novel multi-omics-based highly accurate prediction of symptoms, comorbid conditions, and possible long-term complications of COVID-19"],"prefix":"10.1093","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2557-7768","authenticated-orcid":false,"given":"Debmalya","family":"Barh","sequence":"first","affiliation":[{"name":"Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB) a , Nonakuri, Purba Medinipur, WB, India \u00a0 dr.barh@gmail.com \u00a0 +91-9449550032"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandeep","family":"Tiwari","sequence":"additional","affiliation":[{"name":"Laborat\u00f3rio de Gen\u00e9tica Celular e Molecular, Departamento de Gen\u00e9tica, Ecologia e Evolu\u00e7\u00e3o, Instituto de Ci\u00eancias Biol\u00f3gicas, Universidade Federal de Minas Gerais b , Belo Horizonte, Minas Gerais, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8031-9454","authenticated-orcid":false,"given":"Bruno Silva","family":"Andrade","sequence":"additional","affiliation":[{"name":"Laborat\u00f3rio de Bioinform\u00e1tica e Qu\u00edmica Computacional, Departamento de Ci\u00eancias Biol\u00f3gicas, Universidade Estadual do Sudoeste da Bahia (UESB) c , Jequi\u00e9, Bahia, 45205-490, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1089-4293","authenticated-orcid":false,"given":"Marianna E","family":"Weener","sequence":"additional","affiliation":[{"name":"Clinical Research Center, Oftalmic, CRO d , 119334 Bardina Str. 22\/4, Moscow Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7692-6243","authenticated-orcid":false,"given":"Arist\u00f3teles","family":"G\u00f3es-Neto","sequence":"additional","affiliation":[{"name":"Laborat\u00f3rio de Biologia Molecular e Computacional de Fungos, Departamento de Microbiologia, Instituto de Ci\u00eancias Biol\u00f3gicas, Universidade Federal de Minas Gerais (UFMG) e , Belo Horizonte, Minas Gerais, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4775-2280","authenticated-orcid":false,"given":"Vasco","family":"Azevedo","sequence":"additional","affiliation":[{"name":"Laborat\u00f3rio de Gen\u00e9tica Celular e Molecular, Departamento de Gen\u00e9tica, Ecologia e Evolu\u00e7\u00e3o, Instituto de Ci\u00eancias Biol\u00f3gicas, Universidade Federal de Minas Gerais b , Belo Horizonte, Minas Gerais, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3880-5886","authenticated-orcid":false,"given":"Preetam","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Virginia Commonwealth University f , Richmond, VA, 23284, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenneth","family":"Blum","sequence":"additional","affiliation":[{"name":"Western University Health Sciences g , Pomona, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nirmal Kumar","family":"Ganguly","sequence":"additional","affiliation":[{"name":"Policy Center for Biomedical Research, Translational Health Science & Technology Institute j , Faridabad, Haryana, India"},{"name":"Institute of Liver and Biliary Science i , New Delhi, India"},{"name":"National Institute of Immunology h , New Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2021,2,18]]},"reference":[{"key":"2026010813082388000_cit1","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1056\/NEJMoa2001017","volume":"382","author":"Zhu","year":"2020","journal-title":"N. 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