Computational insights and experimental breakthroughs in identifying next-generation acetylcholinesterase inhibitors

The study aimed to identify the potential acetylcholinesterase (AChE) inhibitors for effective Alzheimer's treatment from existing FDA-approved drugs through a drug repurposing technique via computational tools. Further, to evaluate the anti-Alzheimer's potency of the identified drug with the help of a suitable drug delivery system through in vivo pharmacological studies. The molecular docking and dynamics simulation studies indicated that letrozole has a significant binding affinity of -9.6 kcal/mol and a better interaction with AChE. The physicochemical properties of letrozole-encapsulated solid lipid nanoparticles (L-SLNs) were characterized and confirmed. Initially, acute toxicity tests of L-SLNs were performed according to OECD 423 guidelines. Biochemical studies revealed that L-SLNs significantly decreased brain Acetylcholine esterase activity induced by scopolamine, but L-SLNs significantly increased AChE activity compared to the Shaam control group. Histopathological evaluation of brain regions revealed significant insights into the neuroprotective potential of L-SLNs in an Alzheimer's disease (AD) rat model. Treatment with L-SLNs demonstrated dose-dependent neuroprotection across all studied brain regions. At a low dose of L-SLNs (2.5 mg/kg), neuronal and glial cells in the cortical and hippocampal regions showed improved regularity, although some disorganization persisted. At a mid-dose of L-SLNs (5 mg/kg), the histopathological architecture further normalized, with neurons and glial cells exhibiting regular arrangement and morphology akin to normal cells. The high dose of L-SLNs (10 mg/kg) provided the most significant protection, with neuronal and glial cells displaying near-normal arrangement and morphology in the cortical, hippocampal, and Substantia Nigra regions. This study highlights the importance of SLNs-based drug delivery systems in improving the efficacy of existing therapeutic agents in neurodegenerative conditions.

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Publication Details

Journal
Scientific Reports
Published
2025-08-29
DOI
https://doi.org/10.1038/s41598-025-17733-4
Citations
1
Primary Topic
Computational Drug Discovery Methods
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article
Field-Weighted Citation Impact
1.50
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article

Computational insights and experimental breakthroughs in identifying next-generation acetylcholinesterase inhibitors

Selvaraj Kunjiappan, Damodar Nayak Ammunje, Panneerselvam Theivendren, Parasuraman Pavadai et al.
1 citations
Scientific Reports
Computational Drug Discovery Methods
1.50
article

Computational insights and experimental breakthroughs in identifying next-generation acetylcholinesterase inhibitors

Selvaraj Kunjiappan, Damodar Nayak Ammunje, Panneerselvam Theivendren, Parasuraman Pavadai, Kumarappan Chidamabaram, Nandini Markuli Sadashivappa, Basavana Gowda Hosur Dinesh, B.S. Hemanth Kumar, Sandra Ross Olakkengil Shajan, Devaraj Hanumanthappa, Shivaraj Kumar Walikar, Srinivas Ganjipete
article en
1 citations

Abstract

The study aimed to identify the potential acetylcholinesterase (AChE) inhibitors for effective Alzheimer's treatment from existing FDA-approved drugs through a drug repurposing technique via computational tools. Further, to evaluate the anti-Alzheimer's potency of the identified drug with the help of a suitable drug delivery system through in vivo pharmacological studies. The molecular docking and dynamics simulation studies indicated that letrozole has a significant binding affinity of -9.6 kcal/mol and a better interaction with AChE. The physicochemical properties of letrozole-encapsulated solid lipid nanoparticles (L-SLNs) were characterized and confirmed. Initially, acute toxicity tests of L-SLNs were performed according to OECD 423 guidelines. Biochemical studies revealed that L-SLNs significantly decreased brain Acetylcholine esterase activity induced by scopolamine, but L-SLNs significantly increased AChE activity compared to the Shaam control group. Histopathological evaluation of brain regions revealed significant insights into the neuroprotective potential of L-SLNs in an Alzheimer's disease (AD) rat model. Treatment with L-SLNs demonstrated dose-dependent neuroprotection across all studied brain regions. At a low dose of L-SLNs (2.5 mg/kg), neuronal and glial cells in the cortical and hippocampal regions showed improved regularity, although some disorganization persisted. At a mid-dose of L-SLNs (5 mg/kg), the histopathological architecture further normalized, with neurons and glial cells exhibiting regular arrangement and morphology akin to normal cells. The high dose of L-SLNs (10 mg/kg) provided the most significant protection, with neuronal and glial cells displaying near-normal arrangement and morphology in the cortical, hippocampal, and Substantia Nigra regions. This study highlights the importance of SLNs-based drug delivery systems in improving the efficacy of existing therapeutic agents in neurodegenerative conditions.

Scientific ReportsVol. 15(1)
Vels University (IN), M S Ramaiah University of Applied Sciences (IN), Department of Biotechnology (IN), King Khalid University (SA)
Openalex Percentile: Top 14%
Computational Drug Discovery Methods
1.50
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