In present times, a switch from chemical molecules towards natural products is taking place, and the latter is being increasingly explored in the management of diseases due to their broad range of therapeutic potential. Consumption of coffee is thought to reduce Alzheimer's disease (AD); however, the mechanism is still unexplored. Primarily, it is thought that components of coffee are the key players in making it a neuroprotectant. Caffeic acid (CA) is found in high quantities in coffee; thus, it is being increasingly explored to decipher its neuroprotection by various mechanisms. Iron is a toxic element in a free form capable of causing oxidative damage and ultimately contributing to the pathogenesis of AD. Thus, maintaining the proper iron levels is vital and human transferrin (Htf), a glycoprotein, is a key player in this aspect. In this work, we explored the binding mechanism of CA with Htf at the atomistic level, employing molecular docking and extensive molecular dynamics simulation (MD) approaches coupled with spectroscopic techniques in a bid to decipher the mode of interaction of CA with Htf. Molecular docking results demonstrated a strong binding affinity between CA and Htf. Furthermore, MD study highlighted the Htf-CA complex's stability and the ligand's minimal impact on Htf's overall structure. In silico approaches were further backed up by experimental approaches. Strong binding of CA with Htf was ascertained by UV-visible and fluorescence spectroscopy observations. Together, the study provides a comprehensive understanding of the Htf-CA interaction, adding to the knowledge of the use of CA in the treatment of AD, thereby adding another feather to its already known neuroprotective role.
Keywords: Alzheimer’s disease; Caffeic acid; Human transferrin; Iron; Molecular docking; Molecular dynamic simulation; Spectroscopy.
© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.