ORIGINAL RESEARCH article

Front. Pharmacol.

Sec. Ethnopharmacology

GuiLingJi ameliorates mild cognitive impairment by targeting unsaturated fatty acid metabolism to inhibit GPR120/NF-κB mediated neuroinflammation

  • 1. Shanxi University of Chinese Medicine, Taiyuan, China

  • 2. Shanxi University, Taiyuan,China, Taiyuan, China

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Abstract

Background: Mild cognitive impairment (MCI) is an intermediate condition between normal aging and dementia. Drug intervention is an important way to prevent MCI from developing into dementia. GuiLingJi (GLJ) is a traditional Chinese medicine formulae and it has the effect of enhancing memory. In view of the absence of special effective drugs for MCI, GLJ warrants investigation as a potential therapeutic agent. Methods: This study uses a rat model of MCI, induced by D-galactose injections and a semi-high-fat diet, to explore the therapeutic efficacy of GLJ in MCI and elucidate the potential underlying pharmacological mechanisms by behavioral experiments and biochemical indexes, combined with serum and hippocampal metabolomics. Results: GLJ treatment mitigated D-galactose combined with semi-high-fat diet induced impairments, including abnormal blood lipids, oxidative stress, inflammation, cholinergic dysfunction, apoptosis, and reduced brain-derived neurotrophic factors, along with hippocampal damage. LC-MS metabolomics indicated that these effects involved unsaturated fatty acid and amino acid metabolism. By normalizing linoleic acid and α-linolenic acid levels and activating GPR120, GLJ inhibited the NF-κB/TNF-α pathway. Conclusion: These findings demonstrate that GLJ alleviates MCI symptoms, at least in part, by modulating fatty acid metabolism and suppressing neuroinflammation via the GPR120/NF-κB pathway. This study supports GLJ as a promising proprietary TCM formulation for MCI treatment.

Summary

Keywords

Guilingji, Metabolomics, Mild Cognitive Impairment, Neuroinflammation, unsaturated fatty acids metabolism

Received

22 October 2025

Accepted

18 February 2026

Copyright

© 2026 Shi, Ni, Yu, Qin and Gao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xuemei Qin; Xiaoxia Gao

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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