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1.
Front Cell Infect Microbiol ; 11: 706252, 2021.
Article in English | MEDLINE | ID: covidwho-1405403

ABSTRACT

The pandemic of COVID-19 by SARS-CoV-2 has become a global disaster. However, we still don't know how specific SARS-CoV-2-encoded proteins contribute to viral pathogenicity. We found that SARS-CoV-2-encoded membrane glycoprotein M could induce caspase-dependent apoptosis via interacting with PDK1 and inhibiting the activation of PDK1-PKB/Akt signaling. Our investigation further revealed that SARS-CoV-2-encoded nucleocapsid protein N could specifically enhance the M-induced apoptosis via interacting with both M and PDK1, therefore strengthening M-mediated attenuation of PDK1-PKB/Akt interaction. Furthermore, when the M-N interaction was disrupted via certain rationally designed peptides, the PDK1-PKB/Akt signaling was restored, and the boosting activity of N on the M-triggered apoptosis was abolished. Overall, our findings uncovered a novel mechanism by which SARS-CoV-2-encoded M triggers apoptosis with the assistance of N, which expands our understanding of the two key proteins of SARS-CoV-2 and sheds light on the pathogenicity of this life-threatening virus.


Subject(s)
COVID-19 , SARS-CoV-2 , Apoptosis , Humans , Membrane Glycoproteins , Nucleocapsid Proteins , Spike Glycoprotein, Coronavirus
3.
Theranostics ; 11(16): 8008-8026, 2021.
Article in English | MEDLINE | ID: covidwho-1337803

ABSTRACT

Rationale: Children usually develop less severe symptoms responding to Coronavirus Disease 2019 (COVID-19) than adults. However, little is known about the molecular alterations and pathogenesis of COVID-19 in children. Methods: We conducted plasma proteomic and metabolomic profilings of the blood samples of a cohort containing 18 COVID-19-children with mild symptoms and 12 healthy children, which were enrolled from hospital admissions and outpatients, respectively. Statistical analyses were performed to identify molecules specifically altered in COVID-19-children. We also developed a machine learning-based pipeline named inference of biomolecular combinations with minimal bias (iBM) to prioritize proteins and metabolites strongly altered in COVID-19-children, and experimentally validated the predictions. Results: By comparing to the multi-omic data in adults, we identified 44 proteins and 249 metabolites differentially altered in COVID-19-children against healthy children or COVID-19-adults. Further analyses demonstrated that both deteriorative immune response/inflammation processes and protective antioxidant or anti-inflammatory processes were markedly induced in COVID-19-children. Using iBM, we prioritized two combinations that contained 5 proteins and 5 metabolites, respectively, each exhibiting a total area under curve (AUC) value of 100% to accurately distinguish COVID-19-children from healthy children or COVID-19-adults. Further experiments validated that all the 5 proteins were up-regulated upon coronavirus infection. Interestingly, we found that the prioritized metabolites inhibited the expression of pro-inflammatory factors, and two of them, methylmalonic acid (MMA) and mannitol, also suppressed coronaviral replication, implying a protective role of these metabolites in COVID-19-children. Conclusion: The finding of a strong antagonism of deteriorative and protective effects provided new insights on the mechanism and pathogenesis of COVID-19 in children that mostly underwent mild symptoms. The identified metabolites strongly altered in COVID-19-children could serve as potential therapeutic agents of COVID-19.


Subject(s)
COVID-19/blood , COVID-19/virology , Adult , COVID-19/epidemiology , COVID-19/immunology , Child , Child, Preschool , China/epidemiology , Female , Hospitalization , Humans , Male , Metabolomics/methods , Middle Aged , Proteomics/methods , SARS-CoV-2/isolation & purification
4.
Natl Sci Rev ; 7(7): 1157-1168, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-1114858

ABSTRACT

The pandemic of the coronavirus disease 2019 (COVID-19) has become a global public health crisis. The symptoms of COVID-19 range from mild to severe, but the physiological changes associated with COVID-19 are barely understood. In this study, we performed targeted metabolomic and lipidomic analyses of plasma from a cohort of patients with COVID-19 who had experienced different symptoms. We found that metabolite and lipid alterations exhibit apparent correlation with the course of disease in these patients, indicating that the development of COVID-19 affected their whole-body metabolism. In particular, malic acid of the TCA cycle and carbamoyl phosphate of the urea cycle result in altered energy metabolism and hepatic dysfunction, respectively. It should be noted that carbamoyl phosphate is profoundly down-regulated in patients who died compared with patients with mild symptoms. And, more importantly, guanosine monophosphate (GMP), which is mediated not only by GMP synthase but also by CD39 and CD73, is significantly changed between healthy subjects and patients with COVID-19, as well as between the mild and fatal cases. In addition, dyslipidemia was observed in patients with COVID-19. Overall, the disturbed metabolic patterns have been found to align with the progress and severity of COVID-19. This work provides valuable knowledge about plasma biomarkers associated with COVID-19 and potential therapeutic targets, as well as an important resource for further studies of the pathogenesis of COVID-19.

5.
Virol Sin ; 35(3): 321-329, 2020 Jun.
Article in English | MEDLINE | ID: covidwho-959357

ABSTRACT

The ongoing outbreak of Coronavirus Disease 2019 (COVID-19) has become a global public health emergency. SARS-coronavirus-2 (SARS-CoV-2), the causative pathogen of COVID-19, is a positive-sense single-stranded RNA virus belonging to the family Coronaviridae. For RNA viruses, virus-encoded RNA helicases have long been recognized to play pivotal roles during viral life cycles by facilitating the correct folding and replication of viral RNAs. Here, our studies show that SARS-CoV-2-encoded nonstructural protein 13 (nsp13) possesses the nucleoside triphosphate hydrolase (NTPase) and RNA helicase activities that can hydrolyze all types of NTPs and unwind RNA helices dependently of the presence of NTP, and further characterize the biochemical characteristics of these two enzymatic activities associated with SARS-CoV-2 nsp13. Moreover, we found that some bismuth salts could effectively inhibit both the NTPase and RNA helicase activities of SARS-CoV-2 nsp13 in a dose-dependent manner. Thus, our findings demonstrate the NTPase and helicase activities of SARS-CoV-2 nsp13, which may play an important role in SARS-CoV-2 replication and serve as a target for antivirals.


Subject(s)
Betacoronavirus/metabolism , Bismuth/pharmacology , Methyltransferases/metabolism , Nucleoside-Triphosphatase/drug effects , RNA Helicases/drug effects , Salts/pharmacology , Viral Nonstructural Proteins/metabolism , Adenosine Triphosphatases/drug effects , Adenosine Triphosphatases/metabolism , Betacoronavirus/enzymology , Betacoronavirus/genetics , COVID-19 , Coronavirus Infections/virology , Humans , Methyltransferases/genetics , Nucleoside-Triphosphatase/genetics , Nucleoside-Triphosphatase/metabolism , Pandemics , Pneumonia, Viral/virology , RNA Helicases/genetics , RNA Helicases/metabolism , Recombinant Proteins , SARS-CoV-2 , Severe Acute Respiratory Syndrome , Viral Nonstructural Proteins/genetics , Virus Replication
7.
Immunity ; 53(5): 1108-1122.e5, 2020 11 17.
Article in English | MEDLINE | ID: covidwho-880509

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic is a global public health crisis. However, little is known about the pathogenesis and biomarkers of COVID-19. Here, we profiled host responses to COVID-19 by performing plasma proteomics of a cohort of COVID-19 patients, including non-survivors and survivors recovered from mild or severe symptoms, and uncovered numerous COVID-19-associated alterations of plasma proteins. We developed a machine-learning-based pipeline to identify 11 proteins as biomarkers and a set of biomarker combinations, which were validated by an independent cohort and accurately distinguished and predicted COVID-19 outcomes. Some of the biomarkers were further validated by enzyme-linked immunosorbent assay (ELISA) using a larger cohort. These markedly altered proteins, including the biomarkers, mediate pathophysiological pathways, such as immune or inflammatory responses, platelet degranulation and coagulation, and metabolism, that likely contribute to the pathogenesis. Our findings provide valuable knowledge about COVID-19 biomarkers and shed light on the pathogenesis and potential therapeutic targets of COVID-19.


Subject(s)
Coronavirus Infections/blood , Coronavirus Infections/pathology , Plasma/metabolism , Pneumonia, Viral/blood , Pneumonia, Viral/pathology , Adult , Aged , Aged, 80 and over , Betacoronavirus , Biomarkers/blood , Blood Proteins/metabolism , COVID-19 , Coronavirus Infections/classification , Coronavirus Infections/metabolism , Female , Humans , Machine Learning , Male , Middle Aged , Pandemics/classification , Pneumonia, Viral/classification , Pneumonia, Viral/metabolism , Proteomics , Reproducibility of Results , SARS-CoV-2
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