| 1. |
- Akaberi, Dario, 1989-
(författare)
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Identification of protease inhibitors against Flaviviruses and Coronaviruses
- 2023
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Vector-borne flaviviruses and coronaviruses of zoonotic origins are important human pathogens and represent a serious threat to public health worldwide. Flaviviruses can be found on all continents, apart from Antarctica, where they are transmitted by arthropod vectors causing millions of infections every year. While most of the infections are mild or asymptomatic, flaviviruses like dengue and yellow fever viruses can cause potentially lethal hemorrhagic fever and shock syndrome. Neurotropic flaviviruses like West Nile, Japanese encephalitis, and Tick-borne encephalitis (TBEV) can cause meningoencephalitis with long-term symptoms. Coronaviruses, and in particular betacoronaviruses of zoonotic origin like SARS (2003) and MERS (2012), have been periodically emerging since the early 2000s causing outbreaks of severe respiratory syndrome. The latest example is SARS-CoV-2 that after causing a cluster of infection in the Chinese city of Wuhan, spread all over the world causing at present over 6.9 million deaths. Although vaccines are essential in preventing infections or severe disease and hospitalization in the case of SARS-CoV-2, antivirals represent an extremely valuable tool for treatment and prevention of current and future flavivirus and coronavirus infections. In the work presented in this thesis we have used a combination of in silico and in vitro techniques to identify and test the activity of potential inhibitors of viral proteases. In our first study (paper 1) we unexpectedly identified an HIV protease inhibitor with in vitro activity against ZIKV NS2B-NS3 protease. The inhibitor was identified by virtual screening of a library of known protease inhibitors, evaluated by molecular dynamics simulation and finally tested against recombinant ZIKV protease using a FRET-based enzymatic assay. The same combination of molecular docking and molecular dynamics simulations were also used to correctly predict the activity of a known pan-Flavivirus protease inhibitor against TBEV protease (paper 2). As a result, we were the first to report peptide-based compounds with in vitro activity against TBEV. After the outbreak of the COVID-19 we switched our attention to SARS-CoV-2. We first tested the inhibitory effect of the broad-spectrum antiviral nitric oxide (NO) and found that the NO-releasing compound SNAP had a dose dependent inhibitory effect on SARS-CoV-2 replication in cell-based assays (paper 3). We speculated that SNAP could inhibit SARS-COV-2 protease by trans-nitration of the catalytic Cys145 of SARS-CoV-2 main protease and found that SNAP had a dose dependent inhibitory effect on recombinant SARS-CoV-2 Mpro protease activity in an in vitro enzymatic assay. In our last study (paper 4) we identified a new class of potent SARS-CoV-2 protease inhibitors through the affinity screening of DNA-encoded-chemical libraries containing 4.2 billion compounds. The identified compounds inhibited recombinant SARS-CoV-2 protease with IC50 as low as 25 nM and had a dose dependent antiviral effect in the low micromolar range in infected Calu-3 and Caco-2 cell lines.
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| 2. |
- Ambikan, Anoop T., et al.
(författare)
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Systems-level temporal immune-metabolic profile in Crimean-Congo hemorrhagic fever virus infection
- 2023
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 120:37
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Tidskriftsartikel (refereegranskat)abstract
- Crimean-Congo hemorrhagic fever (CCHF) caused by CCHF virus (CCHFV) is one of the epidemic-prone diseases prioritized by the World Health Organisation as public health emergency with an urgent need for accelerated research. The trajectory of host response against CCHFV is multifarious and remains unknown. Here, we reported the temporal spectrum of pathogenesis following the CCHFV infection using genome-wide blood transcriptomics analysis followed by advanced systems biology analysis, temporal immune-pathogenic alterations, and context-specific progressive and postinfection genome-scale metabolic models (GSMM) on samples collected during the acute (T0), early convalescent (T1), and convalescent-phase (T2). The interplay between the retinoic acid-inducible gene-I-like/nucleotide-binding oligomerization domain-like receptor and tumor necrosis factor signaling governed the trajectory of antiviral immune responses. The rearrangement of intracellular metabolic fluxes toward the amino acid metabolism and metabolic shift toward oxidative phosphorylation and fatty acid oxidation during acute CCHFV infection determine the pathogenicity. The upregulation of the tricarboxylic acid cycle during CCHFV infection, compared to the noninfected healthy control and between the severity groups, indicated an increased energy demand and cellular stress. The upregulation of glycolysis and pyruvate metabolism potentiated energy generation through alternative pathways associated with the severity of the infection. The downregulation of metabolic processes at the convalescent phase identified by blood cell transcriptomics and single-cell type proteomics of five immune cells (CD4+ and CD8+ T cells, CD14+ monocytes, B cells, and NK cells) potentially leads to metabolic rewiring through the recovery due to hyperactivity during the acute phase leading to post-viral fatigue syndrome.
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| 3. |
- Humbert, Marion, et al.
(författare)
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Functional SARS-CoV-2 cross-reactive CD4+ T cells established in early childhood decline with age
- 2023
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 120:12
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Tidskriftsartikel (refereegranskat)abstract
- Pre-existing SARS-CoV-2-reactive T cells have been identified in SARS-CoV-2-unexposed individuals, potentially modulating COVID-19 and vaccination outcomes. Here, we provide evidence that functional cross-reactive memory CD4+ T cell immunity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is established in early childhood, mirroring early seroconversion with seasonal human coronavirus OC43. Humoral and cellular immune responses against OC43 and SARS-CoV-2 were assessed in SARS-CoV-2-unexposed children (paired samples at age two and six) and adults (age 26 to 83). Pre-existing SARS-CoV-2-reactive CD4+ T cell responses targeting spike, nucleocapsid, and membrane were closely linked to the frequency of OC43-specific memory CD4+ T cells in childhood. The functional quality of the cross-reactive memory CD4+ T cell responses targeting SARS-CoV-2 spike, but not nucleocapsid, paralleled OC43-specific T cell responses. OC43-specific antibodies were prevalent already at age two. However, they did not increase further with age, contrasting with the antibody magnitudes against HKU1 (β-coronavirus), 229E and NL63 (α-coronaviruses), rhinovirus, Epstein–Barr virus (EBV), and influenza virus, which increased after age two. The quality of the memory CD4+ T cell responses peaked at age six and subsequently declined with age, with diminished expression of interferon (IFN)-γ, interleukin (IL)-2, tumor necrosis factor (TNF), and CD38 in late adulthood. Age-dependent qualitative differences in the pre-existing SARS-CoV-2-reactive T cell responses may reflect the ability of the host to control coronavirus infections and respond to vaccination. Copyright © 2023 the Author(s).
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| 4. |
- Mikaeloff, Flora, et al.
(författare)
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Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection
- 2023
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Ingår i: eLIFE. - : eLife Sciences Publications, Ltd. - 2050-084X. ; 12
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Tidskriftsartikel (refereegranskat)abstract
- Multiomics technologies improve the biological understanding of health status in people living with HIV on antiretroviral therapy (PWH). Still, a systematic and in-depth characterization of metabolic risk profile during successful long-term treatment is lacking. Here, we used multi-omics (plasma lipidomic, metabolomic, and fecal 16 S microbiome) data-driven stratification and characterization to identify the metabolic at-risk profile within PWH. Through network analysis and similarity network fusion (SNF), we identified three groups of PWH (SNF-1-3): healthy (HC)-like (SNF-1), mild at-risk (SNF-3), and severe at-risk (SNF-2). The PWH in the SNF-2 (45%) had a severe at-risk metabolic profile with increased visceral adipose tissue, BMI, higher incidence of metabolic syndrome (MetS), and increased di- and triglycerides despite having higher CD4(+) T-cell counts than the other two clusters. However, the HC-like and the severe at-risk group had a similar metabolic profile differing from HIV-negative controls (HNC), with dysregulation of amino acid metabolism. At the microbiome profile, the HC-like group had a lower alpha-diversity, a lower proportion of men having sex with men (MSM) and was enriched in Bacteroides. In contrast, in at-risk groups, there was an increase in Prevotella, with a high proportion of MSM, which could potentially lead to higher systemic inflammation and increased cardiometabolic risk profile. The multi-omics integrative analysis also revealed a complex microbial interplay of the microbiome-associated metabolites in PWH. Those severely at-risk clusters may benefit from personalized medicine and lifestyle intervention to improve their dysregulated metabolic traits, aiming to achieve healthier aging.
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