A UHPLC-Orbitrap-MS Metabolomics Strategy Reveals Glycerophospholipid Metabolic Remodeling Is Associated with the Anti-Arthritic Effect of Glycyrrhiza Protein–Paeoniflorin Nanoparticles via PI3K/AKT/NLRP3 Axis

Rheumatoid arthritis involves chronic synovitis and immune-metabolic dysregulation, highlighting a need for multi-target therapies that jointly modulate metabolism and inflammation. We developed glycyrrhiza protein-paeoniflorin self-assembled nanoparticles (GP-PF NPs) and investigated their anti-arthritic mechanism in adjuvant-induced arthritis (AIA) mice, using UHPLC-Orbitrap-MS-based metabolomics. Male C57BL/6 mice (<i>n</i> = 42) were assigned to the control, model, GP-PF NPs, paeoniflorin, glycyrrhiza protein, physical mixture, and celecoxib groups. All groups except controls received complete Freund's adjuvant, and treatments were given intraperitoneally for 10 days. GP-PF NPs produced the greatest reduction in paw thickness versus the model (<i>p</i> < 0.0001) and outperformed all other active treatments, which was consistent with the improved histopathology. UHPLC-Orbitrap-MS detected 473 serum metabolites, and the model group showed 59 significant changes versus the control. GP-PF NPs significantly modulated 108 metabolites and yielded robust OPLS-DA separation from the model (R<sup>2</sup>Y = 0.98; Q<sup>2</sup> = 0.742). Venn and pathway analyses identified 43 NP-specific metabolites enriched in glycerophospholipid metabolism, including glycerophosphocholine, 1-oleylglycerophosphocholine, PE (16:0/16:0), phosphocholine, and sphingosine-1-phosphate. These metabolites were selectively normalized toward control levels by GP-PF NPs. qPCR further showed that GP-PF NPs significantly reduced synovial PI3K, AKT, mTOR, NLRP3, Caspase-1, and GSDMD mRNA overexpression (all <i>p</i> < 0.001 vs. model). Correlation analysis indicated significant associations between key serum lipids and synovial genes (e.g., PI3K positively correlated with several metabolites, r = 0.71-0.82; mTOR negatively correlated with sphinganine 1-phosphate and glycerophosphocholine, r = -0.65 and -0.54). These data suggest that GP-PF NPs ameliorate AIA and are associated with the normalization of glycerophospholipid-related metabolic perturbations and reduced synovial mRNA expression of the PI3K/AKT/mTOR-NLRP3 pathway, supporting their potential as a metabolism-inflammation preclinical oriented anti-arthritic nanomedicine.

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Journal
Molecules
Published
2026-02-05
DOI
https://doi.org/10.3390/molecules31030554
Primary Topic
Pharmacological Effects of Natural Compounds
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article
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article

A UHPLC-Orbitrap-MS Metabolomics Strategy Reveals Glycerophospholipid Metabolic Remodeling Is Associated with the Anti-Arthritic Effect of Glycyrrhiza Protein–Paeoniflorin Nanoparticles via PI3K/AKT/NLRP3 Axis

Cui Li, Yuqin Yang, Zhang Nz, Miaoxin Huo et al.
Molecules
Pharmacological Effects of Natural Compounds
article

A UHPLC-Orbitrap-MS Metabolomics Strategy Reveals Glycerophospholipid Metabolic Remodeling Is Associated with the Anti-Arthritic Effect of Glycyrrhiza Protein–Paeoniflorin Nanoparticles via PI3K/AKT/NLRP3 Axis

Cui Li, Yuqin Yang, Zhang Nz, Miaoxin Huo, Yuan Gao, Dong Bai
article en

Abstract

Rheumatoid arthritis involves chronic synovitis and immune-metabolic dysregulation, highlighting a need for multi-target therapies that jointly modulate metabolism and inflammation. We developed glycyrrhiza protein-paeoniflorin self-assembled nanoparticles (GP-PF NPs) and investigated their anti-arthritic mechanism in adjuvant-induced arthritis (AIA) mice, using UHPLC-Orbitrap-MS-based metabolomics. Male C57BL/6 mice (<i>n</i> = 42) were assigned to the control, model, GP-PF NPs, paeoniflorin, glycyrrhiza protein, physical mixture, and celecoxib groups. All groups except controls received complete Freund's adjuvant, and treatments were given intraperitoneally for 10 days. GP-PF NPs produced the greatest reduction in paw thickness versus the model (<i>p</i> < 0.0001) and outperformed all other active treatments, which was consistent with the improved histopathology. UHPLC-Orbitrap-MS detected 473 serum metabolites, and the model group showed 59 significant changes versus the control. GP-PF NPs significantly modulated 108 metabolites and yielded robust OPLS-DA separation from the model (R<sup>2</sup>Y = 0.98; Q<sup>2</sup> = 0.742). Venn and pathway analyses identified 43 NP-specific metabolites enriched in glycerophospholipid metabolism, including glycerophosphocholine, 1-oleylglycerophosphocholine, PE (16:0/16:0), phosphocholine, and sphingosine-1-phosphate. These metabolites were selectively normalized toward control levels by GP-PF NPs. qPCR further showed that GP-PF NPs significantly reduced synovial PI3K, AKT, mTOR, NLRP3, Caspase-1, and GSDMD mRNA overexpression (all <i>p</i> < 0.001 vs. model). Correlation analysis indicated significant associations between key serum lipids and synovial genes (e.g., PI3K positively correlated with several metabolites, r = 0.71-0.82; mTOR negatively correlated with sphinganine 1-phosphate and glycerophosphocholine, r = -0.65 and -0.54). These data suggest that GP-PF NPs ameliorate AIA and are associated with the normalization of glycerophospholipid-related metabolic perturbations and reduced synovial mRNA expression of the PI3K/AKT/mTOR-NLRP3 pathway, supporting their potential as a metabolism-inflammation preclinical oriented anti-arthritic nanomedicine.

MoleculesVol. 31(3)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Openalex Percentile: Top 65%
Pharmacological Effects of Natural Compounds
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