18
views
0
recommends
+1 Recommend
2 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found

      A small molecule compound berberine as an orally active therapeutic candidate against COVID‐19 and SARS: A computational and mechanistic study

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The novel coronavirus disease, COVID‐19, has grown into a global pandemic and a major public health threat since its breakout in December 2019. To date, no specific therapeutic drug or vaccine for treating COVID‐19 and SARS has been FDA approved. Previous studies suggest that berberine, an isoquinoline alkaloid, has shown various biological activities that may help against COVID‐19 and SARS, including antiviral, anti‐allergy and inflammation, hepatoprotection against drug‐ and infection‐induced liver injury, as well as reducing oxidative stress. In particular, berberine has a wide range of antiviral activities such as anti‐influenza, anti‐hepatitis C, anti‐cytomegalovirus, and anti‐alphavirus. As an ingredient recommended in guidelines issued by the China National Health Commission for COVID‐19 to be combined with other therapy, berberine is a promising orally administered therapeutic candidate against SARS‐CoV and SARS‐CoV‐2. The current study comprehensively evaluates the potential therapeutic mechanisms of berberine in preventing and treating COVID‐19 and SARS using computational modeling, including target mining, gene ontology enrichment, pathway analyses, protein‐protein interaction analysis, and in silico molecular docking. An orally available immunotherapeutic‐berberine nanomedicine, named NIT‐X, has been developed by our group and has shown significantly increased oral bioavailability of berberine, increased IFN‐γ production by CD8+ T cells, and inhibition of mast cell histamine release in vivo, suggesting a protective immune response. We further validated the inhibition of replication of SARS‐CoV‐2 in lung epithelial cells line in vitro (Calu3 cells) by berberine. Moreover, the expression of targets including ACE2, TMPRSS2, IL‐1α, IL‐8, IL‐6, and CCL‐2 in SARS‐CoV‐2 infected Calu3 cells were significantly suppressed by NIT‐X. By supporting protective immunity while inhibiting pro‐inflammatory cytokines; inhibiting viral infection and replication; inducing apoptosis; and protecting against tissue damage, berberine is a promising candidate in preventing and treating COVID‐19 and SARS. Given the high oral bioavailability and safety of berberine nanomedicine, the current study may lead to the development of berberine as an orally, active therapeutic against COVID‐19 and SARS.

          Related collections

          Most cited references166

          • Record: found
          • Abstract: found
          • Article: not found

          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor

            Summary The recent emergence of the novel, pathogenic SARS-coronavirus 2 (SARS-CoV-2) in China and its rapid national and international spread pose a global health emergency. Cell entry of coronaviruses depends on binding of the viral spike (S) proteins to cellular receptors and on S protein priming by host cell proteases. Unravelling which cellular factors are used by SARS-CoV-2 for entry might provide insights into viral transmission and reveal therapeutic targets. Here, we demonstrate that SARS-CoV-2 uses the SARS-CoV receptor ACE2 for entry and the serine protease TMPRSS2 for S protein priming. A TMPRSS2 inhibitor approved for clinical use blocked entry and might constitute a treatment option. Finally, we show that the sera from convalescent SARS patients cross-neutralized SARS-2-S-driven entry. Our results reveal important commonalities between SARS-CoV-2 and SARS-CoV infection and identify a potential target for antiviral intervention.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

              Abstract Proteins and their functional interactions form the backbone of the cellular machinery. Their connectivity network needs to be considered for the full understanding of biological phenomena, but the available information on protein–protein associations is incomplete and exhibits varying levels of annotation granularity and reliability. The STRING database aims to collect, score and integrate all publicly available sources of protein–protein interaction information, and to complement these with computational predictions. Its goal is to achieve a comprehensive and objective global network, including direct (physical) as well as indirect (functional) interactions. The latest version of STRING (11.0) more than doubles the number of organisms it covers, to 5090. The most important new feature is an option to upload entire, genome-wide datasets as input, allowing users to visualize subsets as interaction networks and to perform gene-set enrichment analysis on the entire input. For the enrichment analysis, STRING implements well-known classification systems such as Gene Ontology and KEGG, but also offers additional, new classification systems based on high-throughput text-mining as well as on a hierarchical clustering of the association network itself. The STRING resource is available online at https://string-db.org/.
                Bookmark

                Author and article information

                Contributors
                XiuMin_Li@NYMC.edu
                Journal
                FASEB J
                FASEB J
                10.1096/(ISSN)1530-6860
                FSB2
                The FASEB Journal
                John Wiley and Sons Inc. (Hoboken )
                0892-6638
                1530-6860
                22 March 2021
                April 2021
                : 35
                : 4 ( doiID: 10.1096/fsb2.v35.4 )
                : e21360
                Affiliations
                [ 1 ] Academy of Chinese Medical Science Henan University of Chinese Medicine Zhengzhou China
                [ 2 ] Department of Microbiology & Immunology New York Medical College Valhalla NY USA
                [ 3 ] Department of Pediatrics University of Iowa Iowa City IA USA
                [ 4 ] Department of Pathology New York Medical College Valhalla NY USA
                [ 5 ] Fuzionaire, Inc. The Woodlands TX USA
                [ 6 ] General Nutraceutical Technology Elmsford NY USA
                [ 7 ] Department of Otolaryngology School of Medicine New York Medical College Valhalla NY USA
                Author notes
                [*] [* ] Correspondence

                Xiu‐Min Li, Department of Microbiology & Immunology, New York Medical College, Valhalla, NY 10595, USA.

                Email: XiuMin_Li@ 123456NYMC.edu

                Article
                FSB221360
                10.1096/fj.202001792R
                8250068
                33749932
                84acca02-18b1-4dc3-91f5-62ac5aa5b437
                © 2021 Federation of American Societies for Experimental Biology

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                : 09 December 2020
                : 29 July 2020
                : 28 December 2020
                Page count
                Figures: 8, Tables: 1, Pages: 23, Words: 12789
                Funding
                Funded by: Henan University of Chinese Medicine
                Award ID: CTIM‐01‐2019
                Funded by: Scientific Research Foundation
                Award ID: KYQD 2019‐05
                Funded by: Henan Province Scientific and Technological Project
                Award ID: 202102310472
                Funded by: Study of Integrative Medicine for Immunology and Wellness, New York Medical College.
                Categories
                Hypotheses
                Hypotheses
                Custom metadata
                2.0
                April 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.4 mode:remove_FC converted:02.07.2021

                Molecular biology
                anti‐viral,apoptosis,berberine,computational modeling,covid‐19 and sars
                Molecular biology
                anti‐viral, apoptosis, berberine, computational modeling, covid‐19 and sars

                Comments

                Comment on this article