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1.
Preprint in English | bioRxiv | ID: ppbiorxiv-297366

ABSTRACT

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). The initial interaction between Transmembrane Serine Protease 2 (TMPRSS2) primed SARS-CoV-2 spike (S) protein and host cell receptor angiotensin-converting enzyme 2 (ACE-2) is a pre-requisite step for this novel coronavirus pathogenesis. Here, we expressed a GFP-tagged SARS-CoV-2 S-Ectodomain in Tni insect cells. That contained sialic acid-enriched N- and O-glycans. Surface resonance plasmon (SPR) and Luminex assay showed that the purified S-Ectodomain binding to human ACE-2 and immunoreactivity with COVID-19 positive samples. We demonstrate that bromelain (isolated from pineapple stem and used as a dietary supplement) treatment diminishes the expression of ACE-2 and TMPRSS2 in VeroE6 cells and dramatically lowers the expression of S-Ectodomain. Importantly, bromelain treatment reduced the interaction between S-Ectodomain and VeroE6 cells. Most importantly, bromelain treatment significantly diminished the SARS-CoV-2 infection in VeroE6 cells. Altogether, our results suggest that bromelain or bromelain rich pineapple stem may be used as an antiviral against COVID-19. Highlights O_FIG O_LINKSMALLFIG WIDTH=178 HEIGHT=200 SRC="FIGDIR/small/297366v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@b7afb0org.highwire.dtl.DTLVardef@16f8185org.highwire.dtl.DTLVardef@1a07df8org.highwire.dtl.DTLVardef@1ae33fa_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LIBromelain inhibits / cleaves the expression of ACE-2 and TMPRSS2 C_LIO_LIBromelain cleaves / degrades SARS-CoV-2 spike protein C_LIO_LIBromelain inhibits S-Ectodomain binding and SARS-CoV-2 infection C_LI

2.
Article in English | WPRIM (Western Pacific) | ID: wpr-317013

ABSTRACT

We have used a bioinformatics approach for the identification and reconstruction of metabolic pathways associated with amino acid metabolism in human mitochondria. Human mitochondrial proteins determined by experimental and computational methods have been superposed on the reference pathways from the KEGG database to identify mitochondrial pathways. Enzymes at the entry and exit points for each reconstructed pathway were identified, and mitochondrial solute carrier proteins were determined where applicable. Intermediate enzymes in the mitochondrial pathways were identified based on the annotations available from public databases, evidence in current literature, or our MITOPRED program, which predicts the mitochondrial localization of proteins. Through integration of the data derived from experimental, bibliographical, and computational sources, we reconstructed the amino acid metabolic pathways in human mitochondria, which could help better understand the mitochondrial metabolism and its role in human health.


Subject(s)
Humans , Amino Acid Metabolism, Inborn Errors , Genetics , Metabolism , Amino Acids , Metabolism , Computational Biology , Databases, Protein , Mitochondria , Metabolism , Mitochondrial Proteins , Genetics , Metabolism , Models, Biological , Proteomics
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