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Matrix Metalloproteinase/Fas Ligand (Mmp/Fasl) Interaction Dynamics in Covid-19: An in Silico Study and Neuroimmune Perspective Publisher



Saleki K1, 2, 3, 4 ; Aram C5 ; Alijanizadeh P1, 3 ; Khanmirzaei MH6, 7 ; Vaziri Z1, 3 ; Ramzankhah M1, 3 ; Azadmehr A4, 8
Authors
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Authors Affiliations
  1. 1. Student Research Committee, Babol University of Medical Sciences, Babol, Iran
  2. 2. Department of e-Learning, Virtual School of Medical Education and Management, Shahid Beheshti University of Medical Sciences(SBMU), Tehran, Iran
  3. 3. USERN Office, Babol University of Medical Sciences, Babol, Iran
  4. 4. National Elite Foundation, Mazandaran Province Branch, Mazandaran, Iran
  5. 5. Department of Cell & Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran
  6. 6. School of Medicine, Tehran University of Medical Sciences, Babol, Iran
  7. 7. Universal Scientific Education and Research Network (USERN), Tehran, Iran
  8. 8. Department of Immunology, Babol University of Medical Sciences, Babol, Iran

Source: Heliyon Published:2024


Abstract

Background: The initiator of cytokine storm in Coronavirus disease (COVID-19) is still unknown. We recently suggested a complex interaction of matrix metalloproteinases (MMPs), Fas ligand (FasL), and viral entry factors could be responsible for the cytokine outrage In COVID-19. We explored the molecular dynamics of FasL/MMP7-9 in COVID-19 conditions in silico and provide neuroimmune insights for future. Methods: We enrolled and analyzed a clinical cohort of COVID-19 patients, and recorded their blood Na + levels and temperature at admission. A blood-like molecular dynamics simulation (MDS) box was then built. Four conditions were studied; MMP7/FasL (healthy), MMP7/FasL (COVID-19), MMP9-FasL (healthy), and MMP9/FasL (COVID-19). MDS was performed by GROningen MAchine for Chemical Simulation (GROMACS). We analyzed bonds, short-range energies, and free binding energies to draw conclusions on the interaction of MMP7/MMP9 and FasL to gain insights into COVID-19 immunopathology. Genevestigator was used study RNA-seq/microarray expression data of MMPs in the cells of immune and nervous systems. Finally, epitopes of MMP/FasL complexes were identified as drug targets by machine learning (ML) tools. Results: MMP7-FasL (Healthy), MMP7-FasL (COVID-19), MMP9-FasL (Healthy), and MMP9-FasL (COVID-19) systems showed 0, 1, 4, and 2 salt bridges, indicating MMP9 had more salt bridges. Moreover, in both COVID-19 and normal conditions, the number of interacting residues and surface area was higher for MMP9 compared to MMP7 group. The COVID-19 MMP9-FasL group had more H-bonds compared to MMP7-FasL group (12 vs. 7). 15 epitopes for FasL-MMP9 and 10 epitopes for FasL-MMP7 were detected. Extended MD simulation for 100 ns confirmed stronger binding of MMP9 based on Molecular Mechanics Generalized Borne Surface analysis (MM-GBSA) and Coul and Leonard-Jones (LJ) short-range energies. Conclusions: MMP9 interacts stronger than MMP7 with FasL, however, both molecules maintained strong interaction through the MDS. We suggested epitopes for MMP-FasL complexes as valuable therapeutic targets in COVID-19. These data could be utilized in future immune drug and protein design and repurposing efforts. © 2024 The Authors
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