Literature DB >> 34735713

Metabolomics Signatures of SARS-CoV-2 Infection.

Babak Arjmand1,2, Bagher Larijani3, Sepideh Alavi-Moghadam4, Peyvand Parhizkar-Roudsari5, Mostafa Rezaei-Tavirani6, Akram Tayanloo-Beik4, Parisa Goodarzi7, Neda Mehrdad8, Fereshteh Mohamadi-Jahani7.   

Abstract

For a very long time, viral infections have been considered as one of the most important causes of death and disability around the world. Through the viral infection, viruses as small pathogens enter the host cells and use hosts' biosynthesis machinery to replicate and collect infectious lineages. Moreover, they can modify hosts' metabolic pathways in order to their own purposes. Nowadays (in 2019-2020), the most famous type of viral infection which was caused by a novel type of coronavirus is called COVID-19 disease. It has claimed the lives of many people around the world and is a very serious threat to health. Since investigations of the effects of viruses on host metabolism using metabolomics tools may have given focuses on novel appropriate treatments, in the current review the authors highlighted the virus-host metabolic interactions and metabolomics perspective in COVID-19.
© 2021. Springer Nature Switzerland AG.

Entities:  

Keywords:  COVID-19; Coronavirus; Innate immune system; Metabolism; Metabolomics; SARS-CoV-2; Viral infections

Mesh:

Year:  2022        PMID: 34735713     DOI: 10.1007/5584_2021_674

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  57 in total

1.  Epidemiologic and Clinical Characteristics of Novel Coronavirus Infections Involving 13 Patients Outside Wuhan, China.

Authors:  Minggui Lin; Lai Wei; Lixin Xie; Guangfa Zhu; Charles S Dela Cruz; Lokesh Sharma
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

Review 2.  Immunometabolism of infections.

Authors:  Janelle S Ayres
Journal:  Nat Rev Immunol       Date:  2020-02       Impact factor: 53.106

3.  Cellular immune responses to severe acute respiratory syndrome coronavirus (SARS-CoV) infection in senescent BALB/c mice: CD4+ T cells are important in control of SARS-CoV infection.

Authors:  Jun Chen; Yuk Fai Lau; Elaine W Lamirande; Christopher D Paddock; Jeanine H Bartlett; Sherif R Zaki; Kanta Subbarao
Journal:  J Virol       Date:  2009-11-11       Impact factor: 5.103

4.  Physiological and metabolic consequences of viral infection in Drosophila melanogaster.

Authors:  Pieter A Arnold; Karyn N Johnson; Craig R White
Journal:  J Exp Biol       Date:  2013-05-16       Impact factor: 3.312

5.  Proteomics of SARS-CoV-2-infected host cells reveals therapy targets.

Authors:  Denisa Bojkova; Kevin Klann; Benjamin Koch; Marek Widera; David Krause; Sandra Ciesek; Jindrich Cinatl; Christian Münch
Journal:  Nature       Date:  2020-05-14       Impact factor: 69.504

6.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.

Authors:  Nanshan Chen; Min Zhou; Xuan Dong; Jieming Qu; Fengyun Gong; Yang Han; Yang Qiu; Jingli Wang; Ying Liu; Yuan Wei; Jia'an Xia; Ting Yu; Xinxin Zhang; Li Zhang
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

Review 7.  ACE2 as a potential therapeutic target for pandemic COVID-19.

Authors:  Bhaswati Chatterjee; Suman S Thakur
Journal:  RSC Adv       Date:  2020-11-01       Impact factor: 4.036

Review 8.  A metabolic handbook for the COVID-19 pandemic.

Authors:  Janelle S Ayres
Journal:  Nat Metab       Date:  2020-06-30

9.  Endocrine and metabolic link to coronavirus infection.

Authors:  Stefan R Bornstein; Rinkoo Dalan; David Hopkins; Geltrude Mingrone; Bernhard O Boehm
Journal:  Nat Rev Endocrinol       Date:  2020-06       Impact factor: 43.330

10.  Gastrointestinal symptoms in patients with mild and severe COVID-19: a scoping review and meta-analysis.

Authors:  Babak Arjmand; Fatemeh Ghorbani; Mehdi Koushki; Mostafa Rezai-Tavirani
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2020
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  1 in total

Review 1.  Machine Learning: A New Prospect in Multi-Omics Data Analysis of Cancer.

Authors:  Babak Arjmand; Shayesteh Kokabi Hamidpour; Akram Tayanloo-Beik; Parisa Goodarzi; Hamid Reza Aghayan; Hossein Adibi; Bagher Larijani
Journal:  Front Genet       Date:  2022-01-27       Impact factor: 4.599

  1 in total

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