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Kokot I, Mazurek S, Piwowar A, Sokolik R, Rodak K, Kacperczyk M, Szostak R, Cuprych P, Korman L, Maria Kratz E. Comparative profiling of serum biomarkers and ATR-FTIR spectroscopy for differential diagnosis of patients with rheumatoid and psoriatic arthritis - a pilot study. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 321:124654. [PMID: 38941757 DOI: 10.1016/j.saa.2024.124654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 05/28/2024] [Accepted: 06/11/2024] [Indexed: 06/30/2024]
Abstract
BACKGROUND Rheumatoid arthritis (RA) and psoriatic arthritis (PsA) are chronic inflammatory diseases in which innate and adaptive responses of the immune system are induced. RA and PsA have complex signaling pathways. Despite the differences in their clinical presentation, there is a great demand for fast and accurate diagnosis of diseases to implement treatment and plan an individual therapeutic strategy quickly. In this report, we present the results of differential diagnosis of patients with RA and PsA and healthy subjects (C, control group), allowing for reliable differentiation of groups of rheumatoid patients based on biochemical parameters, attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectra, and combined data sets. MATERIALS AND METHODS Biochemical analyses, ELISA (enzyme-linked immunosorbent assays), and multiplex assays were conducted for blood sera from patients with RA (n = 32), patients with PsA (n = 28), and the control group (n = 18). ATR-FTIR spectra were collected for lyophilized sera. RESULTS The combination of six biochemical parameters (WBC, ESR, RF, CRP, HCC-4/CCL16, and HMGB1/HMGB) allowed the development of the partial least squares discriminant analysis (PLS-DA) model with an overall accuracy (OA) of 80% for test samples. The best separation between RA, PsA, and the control group was obtained utilizing spectral data. Using the interval PLS algorithm (iPLS) specific spectral ranges were selected and a classifier characterized by OA value for test set equal to 88% was obtained. This parameter, for the hybrid PLS-DA model constructed using selected biochemical parameters and a significantly reduced number of spectral variables, reached the level of 84%. CONCLUSIONS PLS-DA models developed on the basis of spectral data enable effective differentiation of patients with RA, patients with PsA, and healthy subjects. They appeared to be insensitive to existing inflammation processes which opens interesting perspectives for new diagnostic tests and algorithms for identification of patients with RA and PsA.
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Affiliation(s)
- Izabela Kokot
- Department of Laboratory Diagnostics, Division of Laboratory Diagnostics, Faculty of Pharmacy, Wroclaw Medical University, Borowska Street 211A, 50-556 Wroclaw, Poland.
| | - Sylwester Mazurek
- Department of Chemistry, University of Wroclaw, F. Joliot-Curie 14, 50-383 Wroclaw, Poland.
| | - Agnieszka Piwowar
- Department of Toxicology, Faculty of Pharmacy, Wroclaw Medical University, Borowska Street 211, 50-556 Wroclaw, Poland
| | - Renata Sokolik
- Department of Rheumatology and Internal Medicine, Faculty of Medicine, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, Poland
| | - Kamil Rodak
- Department of Laboratory Diagnostics, Division of Laboratory Diagnostics, Faculty of Pharmacy, Wroclaw Medical University, Borowska Street 211A, 50-556 Wroclaw, Poland
| | - Monika Kacperczyk
- Department of Laboratory Diagnostics, Division of Laboratory Diagnostics, Faculty of Pharmacy, Wroclaw Medical University, Borowska Street 211A, 50-556 Wroclaw, Poland
| | - Roman Szostak
- Department of Chemistry, University of Wroclaw, F. Joliot-Curie 14, 50-383 Wroclaw, Poland
| | - Przemysław Cuprych
- Department of Chemistry, University of Wroclaw, F. Joliot-Curie 14, 50-383 Wroclaw, Poland
| | - Lucyna Korman
- Department of Rheumatology and Internal Medicine, Faculty of Medicine, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, Poland
| | - Ewa Maria Kratz
- Department of Laboratory Diagnostics, Division of Laboratory Diagnostics, Faculty of Pharmacy, Wroclaw Medical University, Borowska Street 211A, 50-556 Wroclaw, Poland
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Yang M, Xu J, Zhang F, Luo P, Xu K, Feng R, Xu P. Large-Scale Genetic Correlation Analysis between Spondyloarthritis and Human Blood Metabolites. J Clin Med 2023; 12:jcm12031201. [PMID: 36769847 PMCID: PMC9917834 DOI: 10.3390/jcm12031201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/17/2023] [Accepted: 01/22/2023] [Indexed: 02/05/2023] Open
Abstract
The aim was to study the genetic correlation and causal relationship between spondyloarthritis (SpA) and blood metabolites based on the large-scale genome-wide association study (GWAS) summary data. The GWAS summary data (3966 SpA and 448,298 control cases) of SpA were from the UK Biobank, and the GWAS summary data (486 blood metabolites) of human blood metabolites were from a published study. First, the genetic correlation between SpA and blood metabolites was analyzed by linkage disequilibrium score (LDSC) regression. Next, we used Mendelian randomization (MR) analysis to perform access causal relationship between SpA and blood metabolites. Random effects inverse variance weighted (IVW) was the main analysis method, and the MR Egger, weighted median, simple mode, and weighted mode were supplementary methods. The MR analysis results were dominated by the random effects IVW. The Cochran's Q statistic (MR-IVW) and Rucker's Q statistic (MR Egger) were used to check heterogeneity. MR Egger and MR pleiotropy residual sum and outlier (MR-PRESSO) were used to check horizontal pleiotropy. The MR-PRESSO was also used to check outliers. The "leave-one-out" analysis was used to assess whether the MR analysis results were affected by a single SNP and thus test the robustness of the MR results. Finally, we identified seven blood metabolites that are genetically related to SpA: X-10395 (correlation coefficient = -0.546, p = 0.025), pantothenate (correlation coefficient = -0.565, p = 0.038), caprylate (correlation coefficient = -0.333, p = 0.037), pelargonate (correlation coefficient = -0.339, p = 0.047), X-11317 (correlation coefficient = -0.350, p = 0.038), X-12510 (correlation coefficient = -0.399, p = 0.034), and X-13859 (Correlation coefficient = -0.458, p = 0.015). Among them, X-10395 had a positive genetic causal relationship with SpA (p = 0.014, OR = 1.011). The blood metabolites that have genetic correlation and causal relationship with SpA found in this study provide a new idea for the study of the pathogenesis of SpA and the determination of diagnostic indicators.
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Affiliation(s)
- Mingyi Yang
- Department of Joint Surgery, HongHui Hospital, Xi’an Jiaotong University, Xi’an 710054, China
| | - Jiawen Xu
- Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
| | - Pan Luo
- Department of Joint Surgery, HongHui Hospital, Xi’an Jiaotong University, Xi’an 710054, China
| | - Ke Xu
- Department of Joint Surgery, HongHui Hospital, Xi’an Jiaotong University, Xi’an 710054, China
| | - Ruoyang Feng
- Department of Joint Surgery, HongHui Hospital, Xi’an Jiaotong University, Xi’an 710054, China
| | - Peng Xu
- Department of Joint Surgery, HongHui Hospital, Xi’an Jiaotong University, Xi’an 710054, China
- Correspondence:
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Huang T, Pu Y, Wang X, Li Y, Yang H, Luo Y, Liu Y. Corrigendum: Metabolomic analysis in spondyloarthritis: A systematic review. Front Microbiol 2022; 13:1100290. [PMID: 36578573 PMCID: PMC9791648 DOI: 10.3389/fmicb.2022.1100290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022] Open
Abstract
[This corrects the article DOI: 10.3389/fmicb.2022.965709.].
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Affiliation(s)
- Tianwen Huang
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China,Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China,Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Yaoyu Pu
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China,Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China,Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Xiangpeng Wang
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China,Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China,Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Yanhong Li
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China,Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China,Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Hang Yang
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China,Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China,Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Yubin Luo
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China,Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China,Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China,*Correspondence: Yubin Luo ✉
| | - Yi Liu
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China,Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China,Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China,Yi Liu ✉
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Huang T, Pu Y, Wang X, Li Y, Yang H, Luo Y, Liu Y. Metabolomic analysis in spondyloarthritis: A systematic review. Front Microbiol 2022; 13:965709. [PMID: 36118235 PMCID: PMC9479008 DOI: 10.3389/fmicb.2022.965709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 08/12/2022] [Indexed: 12/30/2022] Open
Abstract
Spondyloarthritis (SpA) is a group of rheumatic diseases that cause joint inflammation. Accumulating studies have focused on the metabolomic profiling of SpA in recent years. We conducted a systematic review to provide a collective summary of previous findings on metabolomic profiling associated with SpA. We systematically searched PubMed, Medline, Embase and Web of Science for studies on comparisons of the metabolomic analysis of SpA patients and non-SpA controls. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the included articles. From 482 records identified, 31 studies were included in the analysis. A number of metabolites were differentially distributed between SpA and non-SpA cases. SpA patients showed higher levels of glucose, succinic acid, malic acid and lactate in carbohydrate metabolism, higher glycerol levels and lower fatty acid (especially unsaturated fatty acid) levels in lipid metabolism, and lower levels of tryptophan and glutamine in amino acid metabolism than healthy controls. Both conventional and biological therapy of SpA can insufficiently reverse the aberrant metabolism state toward that of the controls. However, the differences in the results of metabolic profiling between patients with SpA and other inflammatory diseases as well as among patients with several subtypes of SpA are inconsistent across studies. Studies on metabolomics have provided insights into etiological factors and biomarkers for SpA. Supplementation with the metabolites that exhibit decreased levels, such as short-chain fatty acids (SCFAs), has good treatment prospects for modulating immunity. Further studies are needed to elucidate the role of disordered metabolic molecules in the pathogenesis of SpA.
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Affiliation(s)
- Tianwen Huang
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Yaoyu Pu
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Xiangpeng Wang
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Yanhong Li
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Hang Yang
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Yubin Luo
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Yi Liu
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
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