# SERPINA3: A Novel Therapeutic Target for Diabetes-Related Cognitive Impairment Identified Through Integrated Machine Learning and Molecular Docking Analysis

## TL;DR

This study identifies SERPINA3 as a new target for treating cognitive issues in diabetes patients using machine learning and drug binding analysis.

## Contribution

SERPINA3 is newly identified as a therapeutic target for diabetes-related cognitive impairment through machine learning and molecular docking.

## Key findings

- SERPINA3 is significantly upregulated in diabetes-related cognitive impairment patients.
- Sulfonylurea drugs bind stably to SERPINA3 with binding energies of −6.8 and −6.6 kcal/mol.
- SERPINA3 may mediate neuroprotective effects of sulfonylurea drugs in diabetes-related cognitive impairment.

## Abstract

Diabetes-related cognitive impairment (DCI) is a severe complication of type 2 diabetes mellitus (T2DM), with limited understanding of its molecular mechanisms hindering effective therapeutic development. This study identified SERPINA3 as a potential therapeutic target for DCI through integrated machine learning and molecular docking analyses. Transcriptomic data from cortical neuronal samples of T2DM patients were analysed using support vector machine recursive feature elimination (SVM-RFE) and least absolute shrinkage and selection operator (LASSO) regression, revealing SERPINA3 as a significantly upregulated gene in DCI. Experimental validation via Western blot confirmed elevated SERPINA3 protein levels in DCI patient plasma. Molecular docking demonstrated the stable binding of sulfonylurea hypoglycaemic agents, such as gliclazide and glimepiride, to SERPINA3, with binding energies of −6.8 and −6.6 kcal/mol, respectively. These findings suggest that SERPINA3 plays a pivotal role in DCI pathogenesis and that sulfonylurea drugs may exert neuroprotective effects through SERPINA3-mediated pathways. This study provides novel insights into the molecular mechanisms of DCI and highlights the potential of SERPINA3-targeted therapies for early intervention and treatment. Further research is warranted to validate these findings in larger cohorts and explore their clinical applicability.