Análise do perfil metabólico do líquido sinovial de pacientes com osteoartrite do joelho por meio da metabolômica por ressonância magnética espectroscópica

Resumo

Objetivo Avaliar o perfil metabólico do líquido sinovial de pacientes com osteoartrite do joelho (OAJ) correlacionando com os dados clínicos.

Métodos Coletamos amostras de líquido sinovial do joelho de 50 indivíduos com OAJ durante artroplastia total do joelho entre outubro de 2019 e dezembro de 2020. Avaliamos, para cada paciente, os dados clínicos do prontuário médico, o grau de artrose radiográfica e a glicemia de jejum pré-operatória. As amostras foram submetidas à análise metabolômica por ressonância magnética (RM) 1H, e os espectros foram comparados por meio de análises multivariadas e univariadas.

Resultados O sexo feminino prevaleceu (66%), a média de idade foi 67,96 ± 7,08 anos e a média do índice de massa corporal (IMC) foi de 32,51 ± 5,25 kg/m2. Nas avaliações clínicas e metabólicas, 88% dos pacientes eram hipertensos, e encontramos maiores níveis de valina, arginina e citrato em comparação com pacientes não hipertensos.

Conclusão A análise metabolômica do líquido sinovial não conseguiu classificar os pacientes com OA de acordo com as características clínicas.

Palavras-chave

espectroscopia de ressonância magnética - líquido sinovial - metabolômica - osteoartrite

Trabalho desenvolvido no Instituto Nacional de Traumatologia e Ortopedia Jamil Haddad, Rio de Janeiro, RJ, Brasil.

Publication History

Received: 06 December 2023

Accepted: 23 June 2024

Article published online:
21 December 2024

• Referências

• 1 Yao Q, Wu X, Tao C. et al. Osteoarthritis: pathogenic signaling pathways and therapeutic targets. Signal Transduct Target Ther 2023; 8 (01) 56
• 2 Terkawi MA, Ebata T, Yokota S. et al. Low-Grade Inflammation in the Pathogenesis of Osteoarthritis: Cellular and Molecular Mechanisms and Strategies for Future Therapeutic Intervention. Biomedicines 2022; 10 (05) 1109
• 3 Tudorachi NB, Totu T, Eva I. et al. Knee Osteoarthritis in Relation to the Risk Factors of the Metabolic Syndrome Components and Environment of Origin. J Clin Med 2022; 11 (24) 7302
• 4 Deveza LA, Melo L, Yamato TP, Mills K, Ravi V, Hunter DJ. Knee osteoarthritis phenotypes and their relevance for outcomes: a systematic review. Osteoarthritis Cartilage 2017; 25 (12) 1926-1941
• 5 Mobasheri A, Saarakkala S, Finnilä M, Karsdal MA, Bay-Jensen AC, van Spil WE. Recent advances in understanding the phenotypes of osteoarthritis. F1000 Res 2019; 8: F1000 Faculty Rev-2091
• 6 Deveza LA, Loeser RF. Is osteoarthritis one disease or a collection of many?. Rheumatology (Oxford) 2018; 57 (Suppl. 04) iv34-iv42
• 7 Zhang W, Likhodii S, Zhang Y. et al. Classification of osteoarthritis phenotypes by metabolomics analysis. BMJ Open 2014; 4 (11) e006286
• 8 Carlson AK, Rawle RA, Wallace CW. et al. Characterization of synovial fluid metabolomic phenotypes of cartilage morphological changes associated with osteoarthritis. Osteoarthritis Cartilage 2019; 27 (08) 1174-1184
• 9 Patti GJ, Yanes O, Siuzdak G. Innovation: Metabolomics: the apogee of the omics trilogy. Nat Rev Mol Cell Biol 2012; 13 (04) 263-269
• 10 Li C, Chen B, Fang Z. et al. Metabolomics in the development and progression of rheumatoid arthritis: A systematic review. Joint Bone Spine 2020; 87 (05) 425-430
• 11 de Sousa EB, Dos Santos GC, Duarte MEL, Moura V, Aguiar DP. Metabolomics as a promising tool for early osteoarthritis diagnosis. Braz J Med Biol Res 2017; 50 (11) e6485
• 12 Gowda GAN, Zhang S, Gu H, Asiago V, Shanaiah N, Raftery D. Metabolomics-based methods for early disease diagnostics. Expert Rev Mol Diagn 2008; 8 (05) 617-633
• 13 de Sousa EB, Dos Santos Junior GC, Aguiar RP. et al. Osteoarthritic Synovial Fluid Modulates Cell Phenotype and Metabolic Behavior In Vitro . Stem Cells Int 2019; 2019: 8169172
• 14 Altman R, Asch E, Bloch D. et al; Diagnostic and Therapeutic Criteria Committee of the American Rheumatism Association. Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Arthritis Rheum 1986; 29 (08) 1039-1049
• 15 Lee SH, Kim DH, Lee YS. Is there an optimal age for total knee arthroplasty?: A systematic review. Knee Surg Relat Res 2020; 32 (01) 60
• 16 Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser 2000; 894: i-xii , 1–253
• 17 Keyes GW, Carr AJ, Miller RK, Goodfellow JW. The radiographic classification of medial gonarthrosis. Correlation with operation methods in 200 knees. Acta Orthop Scand 1992; 63 (05) 497-501
• 18 Van Pevenage PM, Birchmier JT, June RK. Utilizing metabolomics to identify potential biomarkers and perturbed metabolic pathways in osteoarthritis: A systematic review. Semin Arthritis Rheum 2023; 59: 152163
• 19 Zhai G, Wang-Sattler R, Hart DJ. et al. Serum branched-chain amino acid to histidine ratio: a novel metabolomic biomarker of knee osteoarthritis. Ann Rheum Dis 2010; 69 (06) 1227-1231
• 20 Kim S, Hwang J, Kim J, Ahn JK, Cha HS, Kim KH. Metabolite profiles of synovial fluid change with the radiographic severity of knee osteoarthritis. Joint Bone Spine 2017; 84 (05) 605-610
• 21 Wang X, Cai W, Liu Y. et al. Exploring biomarkers associated with severity of knee osteoarthritis in Southern China using widely targeted metabolomics. BMC Musculoskelet Disord 2023; 24 (01) 953
• 22 Welhaven HD, Welfley AH, Pershad P. et al. Metabolomic Phenotypes Reflect Patient Sex and Injury Status: A Cross-Sectional Analysis of Human Synovial Fluid. 2023;
• 23 Zhai G, Sun X, Randell EW. et al. Phenylalanine Is a Novel Marker for Radiographic Knee Osteoarthritis Progression: The MOST Study. J Rheumatol 2021; 48 (01) 123-128
• 24 Senol O, Gundogdu G, Gundogdu K, Miloglu FD. Investigation of the relationships between knee osteoarthritis and obesity via untargeted metabolomics analysis. Clin Rheumatol 2019; 38 (05) 1351-1360
• 25 Moore SC, Matthews CE, Sampson JN. et al. Human metabolic correlates of body mass index. Metabolomics 2014; 10 (02) 259-269
• 26 Seow SR, Mat S, Ahmad Azam A. et al. Impact of diabetes mellitus on osteoarthritis: a scoping review on biomarkers. Expert Rev Mol Med 2024; 26: e8
• 27 Ching K, Houard X, Berenbaum F, Wen C. Hypertension meets osteoarthritis - revisiting the vascular aetiology hypothesis. Nat Rev Rheumatol 2021; 17 (09) 533-549
• 28 Zhang W, Sun G, Likhodii S. et al. Metabolomic analysis of human plasma reveals that arginine is depleted in knee osteoarthritis patients. Osteoarthritis Cartilage 2016; 24 (05) 827-834
• 29 Tootsi K, Vilba K, Märtson A, Kals J, Paapstel K, Zilmer M. Metabolomic Signature of Amino Acids, Biogenic Amines and Lipids in Blood Serum of Patients with Severe Osteoarthritis. Metabolites 2020; 10 (08) 323
• 30 Werdyani S, Liu M, Zhang H. et al. Endotypes of primary osteoarthritis identified by plasma metabolomics analysis. Rheumatology (Oxford) 2021; 60 (06) 2735-2744