ArticleClinical rheumatology2020
Serum amino acid metabolic profiles of ankylosing spondylitis by targeted metabolomics analysis.
Article in Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- A systematic review and meta-analysis of the kynurenine pathway of tryptophan metabolism in rheumatic diseases.Frontiers in immunology · 2023Pooled it
- Integrative mass spectrometry-driven multi-omics and single cell technologies in ankylosing spondylitis: insights into pathogenesis, biomarker discovery, and precision medicine.Journal of translational autoimmunity · 2025Review
- The role of taurine in bone metabolism.iScience · 2025Review
- A Systemic Perspective of the Link Between Microbiota and Cardiac Health: A Literature Review.Life (Basel, Switzerland) · 2025Review
- Differential metabolite analysis of the pharmacodynamic differences between different ratios of Dahuang ()-Taoren () herb pair.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2024Article
- Metabolomics for Clinical Biomarker Discovery and Therapeutic Target Identification.Molecules (Basel, Switzerland) · 2024Review
- Gut microbiome and metabolome to discover pathogenic bacteria and probiotics in ankylosing spondylitis.Frontiers in immunology · 2024Article
- Assessing the Genetic Causal Effects Between Blood Metabolites and Spinal Pain: A Bidirectional Two-Sample Mendelian Randomization Study.Journal of pain research · 2024Article
- Role of HLA class I and II alleles in susceptibility to ankylosing spondylitis in Chinese Han.Journal of clinical laboratory analysis · 2023Article
- Diagnostic serum biomarkers associated with ankylosing spondylitis.Clinical and experimental medicine · 2023Article
- Serine, N-acetylaspartate differentiate adolescents with juvenile idiopathic arthritis compared with healthy controls: a metabolomics cross-sectional study.Pediatric rheumatology online journal · 2022Article
- Review
- Aberrant lncRNA-mRNA expression profile and function networks during the adipogenesis of mesenchymal stem cells from patients with ankylosing spondylitis.Frontiers in genetics · 2022Article
- Role of the microbiome and its metabolites in ankylosing spondylitis.Frontiers in immunology · 2022Review
- Metabolomic analysis in spondyloarthritis: A systematic review.Frontiers in microbiology · 2022Review
- Arginine-induced metabolomic perturbation inJournal of oral microbiology · 2022Article
- Targeted metabolomics analysis of serum amino acid profiles in patients with Moyamoya disease.Amino acids · 2022Article
- Axial spondyloarthritis patients have altered mucosal IgA response to oral and fecal microbiota.Frontiers in immunology · 2022Article
- B cell-derived GABA elicits IL-10Nature · 2021Article
- Intestinal Microbial Metabolites in Ankylosing Spondylitis.Journal of clinical medicine · 2021Review
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundAnkylosing spondylitis (AS) is a common chronic inflammatory arthritis, causing lasting back pain with progressive loss of spinal mobility. However, the exact pathogenesis of AS remains unclear. We aim to use the metabolomics analysis to characterize the metabolic profile of AS, in order to better understand the pathogenesis of AS and monitor disease activity and progression.
methodsThe ultra-high performance liquid chromatography-triple quadrupole mass spectrometry (UPLC-TQ-MS) was used for investigating the serum amino acid metabolomic profiling of 30 AS patients, in comparison with 32 rheumatoid arthritis (RA) patients and 30 healthy controls, combined with multivariate statistical analysis. Metabolite association analysis with disease activity was performed using generalized linear regression. The metabolic pathway analysis for the important metabolites was performed using MetPA and the metabolic network was constructed.
resultsA total of 29 amino acids and biogenic amines were detected in all participants by UPLC-TQ-MS. It showed significant amino acid differences between the AS/RA patients and control subjects. Additionally, 4-hydroxy-L-proline, alanine, γ-aminobutyric acid, glutamine, and taurine were identified as candidate markers shared by AS/RA groups. Specifically, lysine, proline, serine, and alanine were found correlated with disease activity of AS. Furthermore, the most significant metabolic pathway identified were alanine, aspartate, and glutamate metabolism, arginine and proline metabolism, aminoacyl tRNA biosynthesis and glycine, serine, and threonine metabolism.
conclusionsThese preliminary results demonstrate that UPLC-TQ-MS analysis method is a powerful tool to identify metabolite profiles of AS. Research in identified disease activity-associated metabolites and biological pathways may provide assistance for clinical diagnosis and pathological mechanism of AS. Key Points • There are perturbations of serum amino acid metabolism in AS, compared with RA and healthy controls, determined by UPLC-TQ-MS. • Metabolomics pathway is used to analysis for the differential metabolites of AS. • The altered serum amino acid could monitor disease activity of AS.
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