Esketamine alleviates depressive-like behavior in mice via modulation of the microbiota-gut-brain axis and amino acid metabolism

The microbiota‒gut‒brain axis is increasingly recognized as a critical pathway in the pathogenesis of depression and the response to antidepressant treatments. Esketamine(S-Ket), a noncompetitive glutamatergic N-methyl-D-aspartate receptor (NMDAR) antagonist, has shown a rapid and long-lasting antidepressant effects. However, the precise mechanisms underlying the antidepressant actions of S-Ket remain unclear. In this study, we explore the role of gut microbiota and metabolites in the antidepressant effects of esketamine in lipopolysaccharide (LPS)-induced mouse model of depression. Behavioral tests, including the open-field test, forced swimming test, tail suspension test, and sucrose preference test, were conducted to evaluate the antidepressant efficacy of S-Ket. Additionally,16S rRNA sequencing and untargeted metabolomics were performed to characterize the gut microbiota and metabolome profiles in fecal and hippocampal tissues of LPS-induced mice treated with S-Ket. Bioinformatics analysis was employed to identify key changes. Spearman's rank correlation analyses were used to explore associations between depression-like behaviors (DLBs), differential gut microbes, and metabolites. S-Ket significantly alleviated DLBs in LPS-induced mice, partially restored the disrupted gut microbiota composition (β-diversity), and improved metabolic dysfunction. Pathway analysis revealed that four key amino acid metabolism pathways were significantly altered in both fecal and hippocampal samples, including ‘Glutathione metabolism’. ‘Alanine, aspartate, and glutamate metabolism’, ‘Arginine biosynthesis’, and ‘Arginine and proline metabolism’. Further analysis indicated that the genus Rikenella was significantly correlated with DLBs and host amino acids (e.g., glutamic acid and pyro glutamic acid). This study demonstrates that a single dose of S-Ket rapidly alleviates depression-like behaviors in LPS-induced mice, and its mechanisms are associated with regulating both the composition of gut microbiota and associated metabolites in fecal and hippocampal tissues, particularly the alteration of host amino acid metabolism. These results highlight the potential role of the gut–microbiome–amino acid metabolism axis in esketamine’s antidepressant effects and suggest that targeting this axis may offer therapeutic benefits for depression. Further research is needed to fully elucidate these mechanisms.

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Publication Details

Journal
BMC Microbiology
Published
2025-09-01
DOI
https://doi.org/10.1186/s12866-025-04181-3
Citations
1
Primary Topic
Tryptophan and brain disorders
Type
article
Field-Weighted Citation Impact
0.58

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article

Esketamine alleviates depressive-like behavior in mice via modulation of the microbiota-gut-brain axis and amino acid metabolism

Qiang Mao, Ziying Lai, Qi Zhong, Lei Li et al.
1 citations
BMC Microbiology
Tryptophan and brain disorders
0.58
article

Esketamine alleviates depressive-like behavior in mice via modulation of the microbiota-gut-brain axis and amino acid metabolism

Qiang Mao, Ziying Lai, Qi Zhong, Lei Li, Li Fan, Xue Gong, Yikun Ren
article en
1 citations

Abstract

The microbiota‒gut‒brain axis is increasingly recognized as a critical pathway in the pathogenesis of depression and the response to antidepressant treatments. Esketamine(S-Ket), a noncompetitive glutamatergic N-methyl-D-aspartate receptor (NMDAR) antagonist, has shown a rapid and long-lasting antidepressant effects. However, the precise mechanisms underlying the antidepressant actions of S-Ket remain unclear. In this study, we explore the role of gut microbiota and metabolites in the antidepressant effects of esketamine in lipopolysaccharide (LPS)-induced mouse model of depression. Behavioral tests, including the open-field test, forced swimming test, tail suspension test, and sucrose preference test, were conducted to evaluate the antidepressant efficacy of S-Ket. Additionally,16S rRNA sequencing and untargeted metabolomics were performed to characterize the gut microbiota and metabolome profiles in fecal and hippocampal tissues of LPS-induced mice treated with S-Ket. Bioinformatics analysis was employed to identify key changes. Spearman's rank correlation analyses were used to explore associations between depression-like behaviors (DLBs), differential gut microbes, and metabolites. S-Ket significantly alleviated DLBs in LPS-induced mice, partially restored the disrupted gut microbiota composition (β-diversity), and improved metabolic dysfunction. Pathway analysis revealed that four key amino acid metabolism pathways were significantly altered in both fecal and hippocampal samples, including ‘Glutathione metabolism’. ‘Alanine, aspartate, and glutamate metabolism’, ‘Arginine biosynthesis’, and ‘Arginine and proline metabolism’. Further analysis indicated that the genus Rikenella was significantly correlated with DLBs and host amino acids (e.g., glutamic acid and pyro glutamic acid). This study demonstrates that a single dose of S-Ket rapidly alleviates depression-like behaviors in LPS-induced mice, and its mechanisms are associated with regulating both the composition of gut microbiota and associated metabolites in fecal and hippocampal tissues, particularly the alteration of host amino acid metabolism. These results highlight the potential role of the gut–microbiome–amino acid metabolism axis in esketamine’s antidepressant effects and suggest that targeting this axis may offer therapeutic benefits for depression. Further research is needed to fully elucidate these mechanisms.

BMC MicrobiologyVol. 25(1)
Macau University of Science and Technology (MO), Sun Yat-sen University (CN), Dalian Medical University (CN), Second Affiliated Hospital of Chongqing Medical University (CN), Fifth Affiliated Hospital of Sun Yat-sen University (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
China Postdoctoral Science Foundation, Chongqing Science and Technology Commission, Chongqing Medical University, Centre Scientifique et Technique du Bâtiment, Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission
Openalex Percentile: Top 33%
Tryptophan and brain disorders
0.58
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