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Arjun A, Chellamuthu G, Jeyaraman N, Jeyaraman M, Khanna M. Metabolomics in Osteoarthritis Knee: A Systematic Review of Literature. Indian J Orthop 2024; 58:813-828. [PMID: 38948380 PMCID: PMC11208384 DOI: 10.1007/s43465-024-01169-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 04/23/2024] [Indexed: 07/02/2024]
Abstract
Introduction Osteoarthritis (OA) is a common degenerative disorder of the synovial joints and is usually an age-related disease that occurs due to continuous wear and tear of the cartilage in the joints. Presently, there is no proven medical management to halt the progression of the disease in the early stages. The purpose of our systematic review is to analyze the possible metabolites and metabolic pathways that are specifically involved in OA pathogenesis and early treatment of the disease. Materials and Methods The articles were collected from PubMed, Cochrane, Google Scholar, Embase, and Scopus databases. "Knee", "Osteoarthritis", "Proteomics", "Lipidomics", "Metabolomics", "Metabolic Methods", and metabolic* were employed for finding the articles. Only original articles with human or animal OA models with healthy controls were included. Results From the initial screening, a total of 458 articles were identified from the 5 research databases. From these, 297 articles were selected in the end for screening, of which 53 papers were selected for full-text screening. Finally, 50 articles were taken for the review based on body fluid: 6 urine studies, 15 plasma studies, 16 synovial fluid studies, 11 serum studies, 4 joint tissue studies, and 1 fecal study. Many metabolites were found to be elevated in OA. Some of these metabolites can be used to stage the OA Three pathways that were found to be commonly involved are the TCA cycle, the glycolytic pathway, and the lipid metabolism. Conclusion All these studies showed a vast array of metabolites and metabolic pathways associated with OA. Metabolites like lysophospholipids, phospholipids, arginine, BCCA, and histidine were identified as potential biomarkers of OA but a definite association was not identified, Three pathways (glycolytic pathway, TCA cycle, and lipid metabolic pathways) have been found as highly significant in OA pathogenesis. These metabolic pathways could provide novel therapeutic targets for the prevention and progression of the disease. Supplementary Information The online version contains supplementary material available at 10.1007/s43465-024-01169-5.
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Affiliation(s)
- Akhilesh Arjun
- Department of Orthopaedics, KIMS Health Hospital, Kollam, Kerala India
- Dr RML National Law University, Lucknow, Uttar Pradesh India
| | - Girinivasan Chellamuthu
- Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu India
- Orthopaedic Research Group, Coimbatore, Tamil Nadu India
| | - Naveen Jeyaraman
- Department of Orthopaedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai, Tamil Nadu 600077 India
| | - Madhan Jeyaraman
- Orthopaedic Research Group, Coimbatore, Tamil Nadu India
- Department of Orthopaedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai, Tamil Nadu 600077 India
| | - Manish Khanna
- Department of Orthopaedics, Dr KNS Mayo Institute of Medical Sciences, Lucknow, Uttar Pradesh India
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Fu Q, Yuan X, Wang W, Han X, Zhang J, Wu J, Wang Y. Causal association of genetically determined plasma metabolites with osteoarthritis: a two-sample Mendelian randomization study. Front Med (Lausanne) 2024; 11:1396746. [PMID: 39005650 PMCID: PMC11245738 DOI: 10.3389/fmed.2024.1396746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 06/12/2024] [Indexed: 07/16/2024] Open
Abstract
Background We aimed to elucidate the causal relationship between plasma metabolites and the vulnerability to Osteoarthritis (OA), encompassing both hip OA and knee OA. Methods We conducted a two-way two-sample Mendelian randomization (MR) analysis to investigate the association of 1,400 plasma metabolites with OA. The Inverse Variance Weighted (IVW) model served as the primary two-sample MR Analysis method, with supplementary analysis using the Weighted Median (WM) and MR Egger methods. To ensure the robustness of our findings, sensitivity analyses were performed, incorporating Cochran's Q test, MR-Egger intercept test, MR-PRESSO, and Leave-One-Out analyses. To validate the identified metabolites, we utilized the Steiger test and linkage disequilibrium score regression. Results A total of 94 plasma metabolites were associated with osteoarthritis, with 60 associated with hip OA and 106 associated with knee OA. IVW analysis revealed that tryptophan levels showed the strongest positive association with hip OA (OR [95% CI]: 1.119 [1.024, 1.223]), while X-24757 levels exhibited the highest positive association with knee osteoarthritis (OR [95% CI]: 1.095 [1.032, 1.162]). Ethylparaben sulfate levels were found to have the greatest positive association with hip OA (OR [95% CI]: 1.118 [1.015, 1.231]). Notably, the plasma metabolite X-2475 showed a strong robust random effect across all three types of osteoarthritis. Metabolic pathway analysis revealed that the pathogenesis of osteoarthritis in the hip was mediated by acetylarginine, specifically in four important metabolic pathways: ethanol degradation (p = 0.044), amino sugar metabolism (p = 0.090), fatty acid biosynthesis (p = 0.095), and aspartate metabolism (p = 0.097816). Conclusion There is a significant association between tryptophan levels and the risk of hip OA, as well as X-24757 levels and the risk of knee osteoarthritis. Additionally, X-24757 levels are also linked to the risk of hip OA. Moreover, this study has identified four crucial metabolic pathways in hip osteoarthritis, which are all regulated by acetylarginine. These findings provide valuable insights into potential biomarkers for OA and highlight potential pathways for its prevention and clinical intervention.
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Affiliation(s)
- Qingsong Fu
- Department of Trauma and Orthopaedic, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China
| | - Xinhua Yuan
- Department of Trauma and Orthopaedic, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China
| | - Weibin Wang
- Department of Trauma and Orthopaedic, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China
| | - Xinyou Han
- Department of Trauma and Orthopaedic, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China
| | - Jiakai Zhang
- Department of Trauma and Orthopaedic, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China
| | - Junlong Wu
- Department of Trauma and Orthopaedic, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China
| | - Yao Wang
- Department of Trauma and Orthopaedic, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China
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Ekeuku SO, Tan JK, Al-Saadi HM, Ahmad F, Elvy Suhana MR, Arlamsyah AM, Japar Sidik FZ, Abdul Hamid J, Ima-Nirwana S, Chin KY. Serum Metabolomic Alteration in Rats with Osteoarthritis Treated with Palm Tocotrienol-Rich Fraction Alone or in Combination with Glucosamine Sulphate. Life (Basel) 2023; 13:2343. [PMID: 38137944 PMCID: PMC10744932 DOI: 10.3390/life13122343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 12/12/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023] Open
Abstract
Osteoarthritis (OA) is a degenerative joint condition with limited disease-modifying treatments currently. Palm tocotrienol-rich fraction (TRF) has been previously shown to be effective against OA, but its mechanism of action remains elusive. This study aims to compare serum metabolomic alteration in Sprague-Dawley rats with monosodium iodoacetate (MIA)-induced OA which were treated with palm TRF, glucosamine sulphate, or a combination of both. This study was performed on thirty adult male rats, which were divided into normal control (n = 6) and OA groups (n = 24). The OA group received intra-articular injections of MIA and daily oral treatments of refined olive oil (vehicle, n = 6), palm TRF (100 mg/kg, n = 6), glucosamine sulphate (250 mg/kg, n = 6), or a combination of TRF and glucosamine (n = 6) for four weeks. Serum was collected at the study's conclusion for metabolomic analysis. The findings revealed that MIA-induced OA influences amino acid metabolism, leading to changes in metabolites associated with the biosynthesis of phenylalanine, tyrosine and tryptophan as well as alterations in the metabolism of phenylalanine, tryptophan, arginine and proline. Supplementation with glucosamine sulphate, TRF, or both effectively reversed these metabolic changes induced by OA. The amelioration of metabolic effects induced by OA is linked to the therapeutic effects of TRF and glucosamine. However, it remains unclear whether these effects are direct or indirect in nature.
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Affiliation(s)
- Sophia Ogechi Ekeuku
- Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras 56000, Malaysia; (S.O.E.)
| | - Jen-Kit Tan
- Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras 56000, Malaysia; (S.O.E.)
| | - Hiba Murtadha Al-Saadi
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras 56000, Malaysia
| | - Fairus Ahmad
- Department of Anatomy, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras 56000, Malaysia
| | - Mohd Ramli Elvy Suhana
- Department of Anatomy, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras 56000, Malaysia
| | - Azlan Mohd Arlamsyah
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras 56000, Malaysia
| | | | - Juliana Abdul Hamid
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras 56000, Malaysia
| | - Soelaiman Ima-Nirwana
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras 56000, Malaysia
| | - Kok-Yong Chin
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras 56000, Malaysia
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Paz-González R, Turkiewicz A, Ali N, Ruiz-Romero C, Blanco FJ, Englund M, Önnerfjord P. Proteomic profiling of human menisci from mild joint degeneration and end-stage osteoarthritis versus healthy controls. OSTEOARTHRITIS AND CARTILAGE OPEN 2023; 5:100417. [PMID: 38098679 PMCID: PMC10720269 DOI: 10.1016/j.ocarto.2023.100417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 11/13/2023] [Indexed: 12/17/2023] Open
Abstract
Objective To gain new insight into the molecular changes of the meniscus by comparing the proteome profiles of healthy controls with mild degeneration and end-stage osteoarthritis (OA). Method We obtained tissue plugs from lateral and medial menisci of 37 individuals (central part of the posterior horn) classified as healthy (n = 12), mild signs of joint damage (n = 13) and end-stage OA (n = 12). The protein profile was analysed by nano-liquid chromatography-mass spectrometry using data-independent acquisition and quantified by Spectronaut. Linear-mixed effects modelling was applied to extract the between-group comparisons. Results A similar protein profile was observed for the mild group as compared to healthy controls while the most different group was end-stage OA mainly for the medial compartment. When a pattern of gradual change in protein levels from healthy to end-stage OA was required, a 42-proteins panel was identified, suggesting a potential role in OA development. The levels of QSOX1 were lower and G6PD higher in the mild group following the proposed protein abundance pattern. Qualitative protein changes suggest lower levels of CYTL1 as a potential biomarker of early joint degradation. Conclusion For future targeted proteomic approaches, we propose a candidate panel of 42 proteins based on gradually altered meniscal posterior horn protein abundance patterns associated with joint degradation.
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Affiliation(s)
- Rocío Paz-González
- Grupo de Investigación de Reumatología (GIR), Unidad de Proteómica. INIBIC-Hospital Universitario A Coruña, SERGAS, 15006, A Coruña, Spain
| | - Aleksandra Turkiewicz
- Clinical Epidemiology Unit, Orthopedics, Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Neserin Ali
- Clinical Epidemiology Unit, Orthopedics, Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Cristina Ruiz-Romero
- Grupo de Investigación de Reumatología (GIR), Unidad de Proteómica. INIBIC-Hospital Universitario A Coruña, SERGAS, 15006, A Coruña, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Spain
| | - Francisco J. Blanco
- Grupo de Investigación de Reumatología (GIR), Unidad de Proteómica. INIBIC-Hospital Universitario A Coruña, SERGAS, 15006, A Coruña, Spain
- Grupo de Reumatología y Salud, Departamento de Fisioterapia y Medicina. Centro de investigaciones Avanzadas (CICA), Universidad de A Coruña, A Coruña, Spain
| | - Martin Englund
- Clinical Epidemiology Unit, Orthopedics, Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Patrik Önnerfjord
- Rheumatology and Molecular Skeletal Biology, Clinical Sciences Lund, Lund University, Lund, Sweden
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Jimenez Gutierrez GE, Borbolla Jiménez FV, Muñoz LG, Tapia Guerrero YS, Murillo Melo NM, Cristóbal-Luna JM, Leyva Garcia N, Cordero-Martínez J, Magaña JJ. The Molecular Role of Polyamines in Age-Related Diseases: An Update. Int J Mol Sci 2023; 24:16469. [PMID: 38003659 PMCID: PMC10671757 DOI: 10.3390/ijms242216469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/09/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023] Open
Abstract
Polyamines (Pas) are short molecules that exhibit two or three amine groups that are positively charged at a physiological pH. These small molecules are present in high concentrations in a wide variety of organisms and tissues, suggesting that they play an important role in cellular physiology. Polyamines include spermine, spermidine, and putrescine, which play important roles in age-related diseases that have not been completely elucidated. Aging is a natural process, defined as the time-related deterioration of the physiological functions; it is considered a risk factor for degenerative diseases such as cardiovascular, neurodegenerative, and musculoskeletal diseases; arthritis; and even cancer. In this review, we provide a new perspective on the participation of Pas in the cellular and molecular processes related to age-related diseases, focusing our attention on important degenerative diseases such as Alzheimerߣs disease, Parkinsonߣs disease, osteoarthritis, sarcopenia, and osteoporosis. This new perspective leads us to propose that Pas function as novel biomarkers for age-related diseases, with the main purpose of achieving new molecular alternatives for healthier aging.
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Affiliation(s)
- Guadalupe Elizabeth Jimenez Gutierrez
- Laboratorio de Medicina Genómica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City 14389, Mexico; (G.E.J.G.); (F.V.B.J.); (L.G.M.); (Y.S.T.G.); (N.M.M.M.); (N.L.G.)
- Departamento de Farmacia, Facultad de Química, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City 04510, Mexico
| | - Fabiola V. Borbolla Jiménez
- Laboratorio de Medicina Genómica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City 14389, Mexico; (G.E.J.G.); (F.V.B.J.); (L.G.M.); (Y.S.T.G.); (N.M.M.M.); (N.L.G.)
- Departamento de Farmacia, Facultad de Química, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City 04510, Mexico
| | - Luis G. Muñoz
- Laboratorio de Medicina Genómica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City 14389, Mexico; (G.E.J.G.); (F.V.B.J.); (L.G.M.); (Y.S.T.G.); (N.M.M.M.); (N.L.G.)
| | - Yessica Sarai Tapia Guerrero
- Laboratorio de Medicina Genómica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City 14389, Mexico; (G.E.J.G.); (F.V.B.J.); (L.G.M.); (Y.S.T.G.); (N.M.M.M.); (N.L.G.)
| | - Nadia Mireya Murillo Melo
- Laboratorio de Medicina Genómica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City 14389, Mexico; (G.E.J.G.); (F.V.B.J.); (L.G.M.); (Y.S.T.G.); (N.M.M.M.); (N.L.G.)
| | - José Melesio Cristóbal-Luna
- Departamento de Farmacia, Escuela Nacional de Ciencias Biológicas del Instituto Politécnico Nacional, Mexico City 07738, Mexico;
| | - Norberto Leyva Garcia
- Laboratorio de Medicina Genómica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City 14389, Mexico; (G.E.J.G.); (F.V.B.J.); (L.G.M.); (Y.S.T.G.); (N.M.M.M.); (N.L.G.)
| | - Joaquín Cordero-Martínez
- Laboratorio de Bioquímica Farmacológica, Departamento de Bioquímica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City 11340, Mexico
| | - Jonathan J. Magaña
- Laboratorio de Medicina Genómica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City 14389, Mexico; (G.E.J.G.); (F.V.B.J.); (L.G.M.); (Y.S.T.G.); (N.M.M.M.); (N.L.G.)
- Department of Bioengineering, Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Campus Ciudad de México, Mexico City 14380, Mexico
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Welhaven HD, Welfley AH, Pershad P, Satalich J, O'Connell R, Bothner B, Vap AR, June RK. Metabolic phenotypes reflect patient sex and injury status: A cross-sectional analysis of human synovial fluid. Osteoarthritis Cartilage 2023:S1063-4584(23)00916-0. [PMID: 37716406 PMCID: PMC10940192 DOI: 10.1016/j.joca.2023.09.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/20/2023] [Accepted: 09/08/2023] [Indexed: 09/18/2023]
Abstract
OBJECTIVE Osteoarthritis is a heterogeneous disease. The objective was to compare differences in underlying cellular mechanisms and endogenous repair pathways between synovial fluid (SF) from male and female participants with different injuries to improve the current understanding of the pathophysiology of downstream post-traumatic osteoarthritis (PTOA). DESIGN SF from n = 33 knee arthroscopy patients between 18 and 70 years with no prior knee injuries was obtained pre-procedure and injury pathology assigned post-procedure. SF was extracted and analyzed via liquid chromatography-mass spectrometry metabolomic profiling to examine differences in metabolism between injury pathologies (ligament, meniscal, and combined ligament and meniscal) and patient sex. Samples were pooled and underwent secondary fragmentation to identify metabolites. RESULTS Different knee injuries uniquely altered SF metabolites and downstream pathways including amino acid, lipid, and inflammatory-associated metabolic pathways. Notably, sexual dimorphic metabolic phenotypes were examined between males and females and within injury pathology. Cervonyl carnitine and other identified metabolites differed in concentrations between sexes. CONCLUSIONS These results suggest that different injuries and patient sex are associated with distinct metabolic phenotypes. Considering these phenotypic associations, a greater understanding of metabolic mechanisms associated with specific injuries, sex, and PTOA development may yield data regarding how endogenous repair pathways differ between male and female injury types. Ongoing metabolomic analysis of SF in injured male and female patients can be performed to monitor PTOA development and progression.
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Affiliation(s)
- Hope D Welhaven
- Department of Chemistry & Biochemistry, Montana State University, Bozeman, MT, United States
| | - Avery H Welfley
- Department of Microbiology & Cell Biology, Montana State University, Bozeman, MT, United States
| | - Prayag Pershad
- Department of Orthopaedic Surgery, Virginia Commonwealth University, Richmond, VA, United States
| | - James Satalich
- Department of Orthopaedic Surgery, Virginia Commonwealth University, Richmond, VA, United States
| | - Robert O'Connell
- Department of Orthopaedic Surgery, Virginia Commonwealth University, Richmond, VA, United States
| | - Brian Bothner
- Department of Chemistry & Biochemistry, Montana State University, Bozeman, MT, United States
| | - Alexander R Vap
- Department of Orthopaedic Surgery, Virginia Commonwealth University, Richmond, VA, United States
| | - Ronald K June
- Department of Mechanical & Industrial Engineering, Montana State University, Bozeman, MT, United States.
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Gu Y, Jin Q, Hu J, Wang X, Yu W, Wang Z, Wang C, Liu Y, Chen Y, Yuan W. Causality of genetically determined metabolites and metabolic pathways on osteoarthritis: a two-sample mendelian randomization study. J Transl Med 2023; 21:357. [PMID: 37259122 DOI: 10.1186/s12967-023-04165-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 04/27/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND Osteoarthritis (OA) is one of the most prevalent musculoskeletal diseases and is the leading cause of pain and disability in the aged population. However, the underlying biological mechanism has not been fully understood. This study aims to reveal the causal effect of circulation metabolites on OA susceptibility. METHODS A two-sample Mendelian Randomization (MR) analysis was performed to estimate the causality of GDMs on OA. A genome-wide association study (GWAS) of 486 metabolites was used as the exposure, whereas 8 different OA phenotypes, including any-site OA (All OA), knee and/or hip OA (knee/hip OA), knee OA, hip OA, spine OA, finger and/or thumb OA (hand OA), finger OA, thumb OA, were set the outcomes. Inverse-variance weighted (IVW) was used for calculating causal estimates. Methods including weight mode, weight median, MR-egger, and MR-PRESSO were used for the sensitive analysis. Furthermore, metabolic pathway analysis was performed via the web-based Metaconflict 4.0. All statistical analyses were performed in R software. RESULTS In this MR analysis, a total of 235 causative associations between metabolites and different OA phenotypes were observed. After false discovery rate (FDR) correction and sensitive analysis, 9 robust causative associations between 7 metabolites (e.g., arginine, kynurenine, and isovalerylcarnitine) and 5 OA phenotypes were finally identified. Additionally, eleven significant metabolic pathways in 4 OA phenotypes were identified by metabolic pathway analysis. CONCLUSION The finding of our study suggested that identified metabolites and metabolic pathways can be considered useful circulating metabolic biomarkers for OA screening and prevention in clinical practice, and can also serve as candidate molecules for future mechanism exploration and drug target selection.
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Affiliation(s)
- Yifei Gu
- Department of Orthopaedics, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China
| | - Qianmei Jin
- Department of Rheumatology and Immunology, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China
| | - Jinquan Hu
- Department of Orthopaedics, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China
| | - Xinwei Wang
- Department of Orthopaedics, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China
| | - Wenchao Yu
- Department of Orthopaedics, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China
| | - Zhanchao Wang
- Department of Orthopaedics, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China
| | - Chen Wang
- Department of Orthopaedics, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China
| | - Yang Liu
- Department of Orthopaedics, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
| | - Yu Chen
- Department of Orthopaedics, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
| | - Wen Yuan
- Department of Orthopaedics, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
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Zhao T, Wang S, Liu W, Shen J, Dai Y, Shi M, Huang X, Wei Y, Li T, Zhang X, Xie Z, Wang N, Qin D, Li Z. Clinical efficacy of Yiqi Yangxue formula on knee osteoarthritis and unraveling therapeutic mechanism through plasma metabolites in rats. Front Genet 2023; 14:1096616. [PMID: 37091797 PMCID: PMC10113924 DOI: 10.3389/fgene.2023.1096616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 03/23/2023] [Indexed: 04/08/2023] Open
Abstract
Objective: To observe the clinical efficacy and safety of Yiqi Yangxue formula (YQYXF) on knee osteoarthritis (KOA), and to explore the underlying therapeutic mechanism of YQYXF through endogenous differential metabolites and their related metabolic pathways.Methods: A total of 61 KOA patients were recruited and divided into the treatment group (YQYXF, 30 cases) and the control group (celecoxib, Cxb, 31 cases). Effects of these two drugs on joint pain, swelling, erythrocyte sedimentation rate (ESR) and c-reactive protein (CRP) were observed, and their safety and adverse reactions were investigated. In animal experiments, 63 SD rats were randomly divided into normal control (NC) group, sham operation (sham) group, model (KOA) group, Cxb group, as well as low-dose (YL), medium-dose (YM), and high-dose groups of YQYXF (YH). The KOA rat model was established using a modified Hulth method. Ultra-high-performance liquid chromatography/Q Exactive HF-X Hybrid Quadrupole-Orbitrap Mass (UHPLC-QE-MS)-based metabolomics technology was used to analyze the changes of metabolites in plasma samples of rats. Comprehensive (VIP) >1 and t-test p < 0.05 conditions were used to screen the disease biomarkers of KOA, and the underlying mechanisms of YQYXF were explored through metabolic pathway enrichment analysis. The related markers of YQYXF were further verified by ELISA (enzyme-linked immunosorbent assay).Results: YQYXF can improve joint pain, swelling, range of motion, joint function, Michel Lequesen index of severity for osteoarthritis (ISOA) score, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, ESR, and CRP. No apparent adverse reactions were reported. In addition, YQYXF can improve cartilage damage in KOA rats, reverse the abnormal changes of 16 different metabolites, and exert an anti-KOA effect mainly through five metabolic pathways. The levels of reactive oxygen species (ROS) and glutathione (GSH) were significantly decreased after the treatment of YQYXF.Conclusion: YQYXF can significantly improve the clinical symptoms of KOA patients without obvious adverse reactions. It mainly improved KOA through modulating lipid metabolism-related biomarkers, reducing lipid peroxidation and oxidative stress.
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Affiliation(s)
- Ting Zhao
- The First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, China
| | - Shiqi Wang
- The First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, China
| | - Wenbin Liu
- The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, China
| | - Jiayan Shen
- The First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, China
| | - Youwu Dai
- School of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China
| | - Mingqin Shi
- School of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China
| | - Xiaoyi Huang
- School of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China
| | - Yuanyuan Wei
- School of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China
| | - Tao Li
- Qujing Hospital Affiliated to Yunnan University of Traditional Chinese Medicine, Qujing, China
| | - Xiaoyu Zhang
- The First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, China
| | - Zhaohu Xie
- School of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China
| | - Na Wang
- Institutes of Integrative Medicine, Fudan University, Shanghai, China
- *Correspondence: Zhaofu Li, ; Na Wang, ; Dongdong Qin,
| | - Dongdong Qin
- School of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China
- *Correspondence: Zhaofu Li, ; Na Wang, ; Dongdong Qin,
| | - Zhaofu Li
- School of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China
- *Correspondence: Zhaofu Li, ; Na Wang, ; Dongdong Qin,
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Welhaven HD, Welfley AH, Pershad P, Satalich J, O’Connell R, Bothner B, Vap AR, June RK. Metabolomic Phenotypes Reflect Patient Sex and Injury Status: A Cross-Sectional Analysis of Human Synovial Fluid. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.03.527040. [PMID: 36846378 PMCID: PMC9959930 DOI: 10.1101/2023.02.03.527040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Background Post-traumatic osteoarthritis (PTOA) is caused by knee injuries like anterior cruciate ligament (ACL) injuries. Often, ACL injuries are accompanied by damage to other tissues and structures within the knee including the meniscus. Both are known to cause PTOA but underlying cellular mechanisms driving disease remain unknown. Aside from injury, patient sex is a prevalent risk factor associated with PTOA. Hypothesis Metabolic phenotypes of synovial fluid that differ by knee injury pathology and participant sex will be distinct from each other. Study Design A cross-sectional study. Methods Synovial fluid from n=33 knee arthroscopy patients between 18 and 70 years with no prior knee injuries was obtained pre-procedure and injury pathology assigned post-procedure. Synovial fluid was extracted and analyzed via liquid chromatography mass spectrometry metabolomic profiling to examine differences in metabolism between injury pathologies and participant sex. Additionally, samples were pooled and underwent fragmentation to identify metabolites. Results Metabolite profiles revealed that injury pathology phenotypes were distinct from each other where differences in endogenous repair pathways that are triggered post-injury were detected. Specifically, acute differences in metabolism mapped to amino acid metabolism, lipid-related oxidative metabolism, and inflammatory-associated pathways. Lastly, sexual dimorphic metabolic phenotypes were examined between male and female participants, and within injury pathology. Specifically, Cervonyl Carnitine and other identified metabolites differed in concentration between sexes. Conclusions The results of this study suggest that different injuries (e.g., ligament vs. meniscus), as well as sex are associated with distinct metabolic phenotypes. Considering these phenotypic associations, a greater understanding of metabolic mechanisms associated with specific injuries and PTOA development may yield data regarding how endogenous repair pathways differ between injury types. Furthermore, ongoing metabolomic analysis of synovial fluid in injured male and female patients can be performed to monitor PTOA development and progression. Clinical Relevance Extension of this work may potentially lead to the identification of biomarkers as well as drug targets that slow, stop, or reverse PTOA progression based on injury type and patient sex.
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Affiliation(s)
- Hope D. Welhaven
- Department of Chemistry & Biochemistry, Montana State University, Bozeman MT
| | - Avery H. Welfley
- Department of Microbiology & Cell Biology, Montana State University, Bozeman MT
| | - Prayag Pershad
- Department of Orthopaedic Surgery, Virginia Commonwealth University, Richmond VA
| | - James Satalich
- Department of Orthopaedic Surgery, Virginia Commonwealth University, Richmond VA
| | - Robert O’Connell
- Department of Orthopaedic Surgery, Virginia Commonwealth University, Richmond VA
| | - Brian Bothner
- Department of Chemistry & Biochemistry, Montana State University, Bozeman MT
| | - Alexander R. Vap
- Department of Orthopaedic Surgery, Virginia Commonwealth University, Richmond VA
| | - Ronald K. June
- Department of Mechanical & Industrial Engineering, Montana State University, Bozeman MT
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Liu H, Witzigreuter L, Sathiaseelan R, Agbaga MP, Brush RS, Stout MB, Zhu S. Obesity promotes lipid accumulation in mouse cartilage-A potential role of acetyl-CoA carboxylase (ACC) mediated chondrocyte de novo lipogenesis. J Orthop Res 2022; 40:2771-2779. [PMID: 35279877 PMCID: PMC9647658 DOI: 10.1002/jor.25322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 01/27/2022] [Accepted: 03/01/2022] [Indexed: 02/04/2023]
Abstract
Obesity promotes the development of osteoarthritis (OA). It is also well-established that obesity leads to excessive lipid deposition in nonadipose tissues, which often induces lipotoxicity. The objective of this study was to investigate changes in the levels of various lipids in mouse cartilage in the context of obesity and determine if chondrocyte de novo lipogenesis is altered. We used Oil Red O to determine the accumulation of lipid droplets in cartilage from mice fed high-fat diet (HFD) or low-fat diet (LFD). We further used mass spectrometry-based lipidomic analyses to quantify levels of different lipid species. Expression of genes involving in fatty acid (FA) uptake, synthesis, elongation, and desaturation were examined using quantitative polymerase chain reaction. To further study the potential mechanisms, we cultured primary mouse chondrocytes under high-glucose and high-insulin conditions to mimic the local microenvironment associated with obesity and subsequently examined the abundance of cellular lipid droplets. The acetyl-CoA carboxylase (ACC) inhibitor, ND-630, was added to the culture medium to examine the effect of inhibiting de novo lipogenesis on lipid accumulation in chondrocytes. When compared to the mice receiving LFD, the HFD group displayed more chondrocytes with visible intracellular lipid droplets. Significantly higher amounts of total FAs were also detected in the HFD group. Five out of six significantly upregulated FAs were ω-6 FAs, while the two significantly downregulated FAs were ω-3 FAs. Consequently, the HFD group displayed a significantly higher ω-6/ω-3 FA ratio. Ether linked phosphatidylcholine was also found to be higher in the HFD group. Fatty acid desaturase (Fad1-3), fatty acid-binding protein 4 (Fabp4), and fatty acid synthase (Fasn) transcripts were not found to be different between the treatment groups and fatty acid elongase (Elovl1-7) transcripts were undetectable in cartilage. Ceramide synthase 2 (Cers-2), the only transcript found to be changed in these studies, was significantly upregulated in the HFD group. In vitro, chondrocytes upregulated de novo lipogenesis when cultured under high-glucose, high-insulin conditions, and this observation was associated with the activation of ACC, which was attenuated by the addition of ND-630. This study provides the first evidence that lipid deposition is increased in cartilage with obesity and that this is associated with the upregulation of ACC-mediated de novo lipogenesis. This was supported by our observation that ACC inhibition ameliorated lipid accumulation in chondrocytes, thereby suggesting that ACC could potentially be targeted to treat obesity-associated OA.
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Affiliation(s)
- Huanhuan Liu
- Department of Biomedical Sciences, Ohio University, OH, 45701, USA
- Ohio Musculoskeletal and Neurological Institute (OMNI), Ohio University, OH, 45701, USA
| | - Luke Witzigreuter
- Department of Biological Sciences, Ohio University, Athens, OH, 45701, USA
| | - Roshini Sathiaseelan
- Department of Nutritional Sciences, University of Oklahoma Health Sciences Center, OK, 73117, USA
| | - Martin-Paul Agbaga
- Department of Ophthalmology, University of Oklahoma Health Sciences Center, OK, 73104, USA
- Dean A. McGee Eye Institute, OK, 73104, USA
| | - Richard S. Brush
- Department of Ophthalmology, University of Oklahoma Health Sciences Center, OK, 73104, USA
- Dean A. McGee Eye Institute, OK, 73104, USA
| | - Michael B. Stout
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
| | - Shouan Zhu
- Department of Biomedical Sciences, Ohio University, OH, 45701, USA
- Ohio Musculoskeletal and Neurological Institute (OMNI), Ohio University, OH, 45701, USA
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11
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Wallace CW, Hislop B, Hahn AK, Erdogan AE, Brahmachary PP, June RK. Correlations between metabolites in the synovial fluid and serum: A mouse injury study. J Orthop Res 2022; 40:2792-2802. [PMID: 35285551 PMCID: PMC9470782 DOI: 10.1002/jor.25310] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 12/03/2021] [Accepted: 02/02/2022] [Indexed: 02/04/2023]
Abstract
Osteoarthritis occurs frequently after joint injury. Currently, osteoarthritis is diagnosed by radiographic changes that are typically found after the disease has progressed to multiple tissues. The primary objective was to compare potential metabolomic biomarkers of joint injury between synovial fluid and serum in a mouse model of posttraumatic osteoarthritis. The secondary objective was to gain insight into the pathophysiology of osteoarthritis by examining metabolomic profiles after joint injury. Twelve-week-old adult female C57BL/6 mice (n = 12) were randomly assigned to control, Day 1, or Day 8 postinjury groups. Randomly selected stifle joints were subjected to a single rapid compression. At Days 1 and 8 postinjury, serum was extracted before mice were euthanized for synovial fluid collection. Metabolomic profiling detected ~2500 metabolites across serum and synovial fluid. Of these, 179 were positively correlated and 51 were negatively correlated between synovial fluid and serum, indicating the potential for the development of metabolomic biomarkers. Synovial fluid captured injury-induced differences in metabolomic profiles at both Days 1 and 8 after injury whereas serum did not. However, synovial fluid and serum were distinct at both time points after injury. In synovial fluid, pathways of interest mapped to amino acid synthesis and degradation, bupropion degradation, and transfer RNA (tRNA) charging. In serum, pathways were amino acid synthesis and degradation, the phospholipase pathway, and nicotine degradation. These results provide a rich picture of the injury response at early time points after joint injury. Furthermore, the correlations between synovial fluid and serum metabolites suggest the potential to gain insight into intra-articular pathophysiology through analysis of serum metabolites.
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Affiliation(s)
- Cameron W Wallace
- University of Washington School of Medicine, Seattle, Washington, USA
| | - Brady Hislop
- Department of Mechanical & Industrial Engineering, Montana State University, Bozeman, Montana, USA
| | | | - Ayten E Erdogan
- Department of Chemical & Biological Engineering, Montana State University, Bozeman, Montana, USA
| | - Priyanka P Brahmachary
- Department of Mechanical & Industrial Engineering, Montana State University, Bozeman, Montana, USA
| | - Ronald K June
- Department of Mechanical & Industrial Engineering and Department of Microbiology and Cell Biology, Montana State University, Bozeman, Montana, USA
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12
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Murillo-Saich JD, Coras R, Meyer R, Llorente C, Lane NE, Guma M. Synovial tissue metabolomic profiling reveal biomarkers of synovial inflammation in patients with osteoarthritis. OSTEOARTHRITIS AND CARTILAGE OPEN 2022; 4:100295. [PMID: 36474936 PMCID: PMC9718344 DOI: 10.1016/j.ocarto.2022.100295] [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: 06/25/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 01/30/2023] Open
Abstract
Objective Inflammatory responses are associated with changes in tissue metabolism. Prior studies find altered metabolomic profiles in both the synovial fluid (SF) and serum of osteoarthritis subjects. Our study determined the metabolomic profile of synovial tissue (ST) and SF of individuals with osteoarthritis (OA) and its association with synovial inflammation. Design 37 OA ST samples were collected during joint replacement, 21 also had SF. ST samples were fixed in formalin for histological analysis, cultured (explants) for cytokine analysis by enzyme-linked immunosorbent assay, or snap-frozen for metabolomic analysis. ST samples were categorized by Krenn synovitis score and picrosirius red. CD68 and vimentin expression was assessed by immunohistochemistry and semi-quantified using Image J. Proton-nuclear magnetic resonance (1H NMR) was used to acquire a spectrum from ST and SF samples. Chenomx NMR suite 8.5 was used for metabolite identification and quantification. Metaboanalyst 5.0, SPSS v26, and R (v4.1.2) were used for statistical analysis. Results 42 and 29 metabolites were detected in the ST and SF respectively by 1H NMR. Only 3 metabolites, lactate, dimethylamine, and creatine positively correlated between SF and ST. ST concentrations of several metabolites (lactate, alanine, fumarate, glutamine, glycine, leucine, lysine, methionine, trimethylamine N-oxide, tryptophan and valine) were associated with synovitis score, mostly to the lining score. IL-6, acetoacetate, and tyrosine in SF predicted high Krenn synovitis scores in ST. Conclusion Metabolomic profiling of ST identified metabolic changes associated with inflammation. Further studies are needed to determine whether metabolomic profiling of synovial tissue can identify new therapeutic targets in osteoarthritis.
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Affiliation(s)
- Jessica D. Murillo-Saich
- Department of Medicine, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Roxana Coras
- Department of Medicine, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
- Department of Medicine, Autonomous University of Barcelona, Plaça Cívica, 08193 Bellaterra, Barcelona, Spain
| | - Robert Meyer
- Department of Medicine, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
- San Diego VA Healthcare Service, San Diego, CA, 92161, USA
| | - Cristina Llorente
- Department of Medicine, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Nancy E. Lane
- Department of Medicine, University of California, Davis, Sacramento, CA, 95817, USA
| | - Monica Guma
- Department of Medicine, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
- Department of Medicine, Autonomous University of Barcelona, Plaça Cívica, 08193 Bellaterra, Barcelona, Spain
- San Diego VA Healthcare Service, San Diego, CA, 92161, USA
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13
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Xie Z, Aitken D, Liu M, Lei G, Jones G, Cicuttini F, Zhai G. Serum Metabolomic Signatures for Knee Cartilage Volume Loss over 10 Years in Community-Dwelling Older Adults. Life (Basel) 2022; 12:life12060869. [PMID: 35743900 PMCID: PMC9225196 DOI: 10.3390/life12060869] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/01/2022] [Accepted: 06/08/2022] [Indexed: 11/16/2022] Open
Abstract
Osteoarthritis (OA) is the most prevalent joint disorder characterized by joint structural pathological changes with the loss of articular cartilage as its hallmark. Tools that can predict cartilage loss would help identify people at high risk, thus preventing OA development. The recent advance of the metabolomics provides a new avenue to systematically investigate metabolic alterations in disease and identify biomarkers for early diagnosis. Using a metabolomics approach, the current study aimed to identify serum metabolomic signatures for predicting knee cartilage volume loss over 10 years in the Tasmania Older Adult Cohort (TASOAC). Cartilage volume was measured in the medial, lateral, and patellar compartments of the knee by MRI at baseline and follow-up. Changes in cartilage volume over 10 years were calculated as percentage change per year. Fasting serum samples collected at 2.6-year follow-up were metabolomically profiled using the TMIC Prime Metabolomics Profiling Assay and pairwise metabolite ratios as the proxies of enzymatic reaction were calculated. Linear regression was used to identify metabolite ratio(s) associated with change in cartilage volume in each of the knee compartments with adjustment for age, sex, and BMI. The significance level was defined at α = 3.0 × 10−6 to control multiple testing. A total of 344 participants (51% females) were included in the study. The mean age was 62.83 ± 6.13 years and the mean BMI was 27.48 ± 4.41 kg/m2 at baseline. The average follow-up time was 10.84 ± 0.66 years. Cartilage volume was reduced by 1.34 ± 0.72%, 1.06 ± 0.58%, and 0.98 ± 0.46% per year in the medial, lateral, and patellar compartments, respectively. Our data showed that the increased ratios of hexadecenoylcarnitine (C16:1) to tetradecanoylcarnitine (C14) and C16:1 to dodecanoylcarnitine (C12) were associated with 0.12 ± 0.02% reduction per year in patellar cartilage volume (both p < 3.03 × 10−6). In conclusion, our data suggested that alteration of long chain fatty acid β-oxidation was involved in patellar cartilage loss. While confirmation is needed, the ratios of C16:1 to C14 and C12 might be used to predict long-term cartilage loss.
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Affiliation(s)
- Zikun Xie
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (Z.X.); (M.L.)
- Xiangya Hospital, Central South University, Changsha 410008, China;
| | - Dawn Aitken
- Menzies Institute for Medical Research, University of Tasmania, Hobart 7005, Australia; (D.A.); (G.J.)
| | - Ming Liu
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (Z.X.); (M.L.)
| | - Guanghua Lei
- Xiangya Hospital, Central South University, Changsha 410008, China;
| | - Graeme Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart 7005, Australia; (D.A.); (G.J.)
| | - Flavia Cicuttini
- Department of Epidemiology and Preventive Medicine, Monash University Medical School, Melbourne 3006, Australia;
| | - Guangju Zhai
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (Z.X.); (M.L.)
- Correspondence: ; Tel.: +1-709-864-6683; Fax: +1-709-864-6531
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14
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Lipidomic Profiling Identifies Serum Lipids Associated with Persistent Multisite Musculoskeletal Pain. Metabolites 2022; 12:metabo12030206. [PMID: 35323649 PMCID: PMC8953175 DOI: 10.3390/metabo12030206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/17/2022] [Accepted: 02/22/2022] [Indexed: 01/27/2023] Open
Abstract
Lipid mediators have been suggested to have a role in pain sensitivity and response; however, longitudinal data on lipid metabolites and persistent multisite musculoskeletal pain (MSMP) are lacking. This study was to identify lipid metabolic markers for persistent MSMP. Lipidomic profiling of 807 lipid species was performed on serum samples of 536 participants from a cohort study. MSMP was measured by a questionnaire and defined as painful sites ≥4. Persistent MSMP was defined as having MSMP at every visit. Logistic regression was used with adjustment for potential confounders. The Benjamini–Hochberg method was used to control for multiple testing. A total of 530 samples with 807 lipid metabolites passed quality control. Mean age at baseline was 61.54 ± 6.57 years and 50% were females. In total, 112 (21%) of the participants had persistent MSMP. Persistent MSMP was significantly associated with lower levels of monohexosylceramide (HexCer)(d18:1/22:0 and d18:1/24:0), acylcarnitine (AC)(26:0) and lysophosphatidylcholine (LPC)(18:1 [sn1], 18:2 [sn1], 18:2 [sn2], and 15-MHDA[sn1] [104_sn1]) after controlling for multiple testing. After adjustment for age, sex, body mass index, comorbidities, and physical activity, HexCer(d18:1/22:0 and d18:1/24:0) and LPC(15-MHDA [sn1] [104_sn1]) were significantly associated with persistent MSMP [Odds Ratio (OR) ranging from 0.25–0.36]. Two lipid classes—HexCer and LPC—were negatively associated with persistent MSMP after adjustment for covariates (OR = 0.22 and 0.27, respectively). This study identified three novel lipid signatures of persistent MSMP, suggesting that lipid metabolism is involved in the pathogenesis of persistent pain.
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15
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Shen CL, Watkins BA, Kahathuduwa C, Chyu MC, Zabet-Moghaddam M, Elmassry MM, Luk HY, Brismée JM, Knox A, Lee J, Zumwalt M, Wang R, Wager TD, Neugebauer V. Tai Chi Improves Brain Functional Connectivity and Plasma Lysophosphatidylcholines in Postmenopausal Women With Knee Osteoarthritis: An Exploratory Pilot Study. Front Med (Lausanne) 2022; 8:775344. [PMID: 35047525 PMCID: PMC8761802 DOI: 10.3389/fmed.2021.775344] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/15/2021] [Indexed: 01/08/2023] Open
Abstract
Objective: A pre/post pilot study was designed to investigate neurobiological mechanisms and plasma metabolites in an 8-week Tai-Chi (TC) group intervention in subjects with knee osteoarthritis. Methods: Twelve postmenopausal women underwent Tai-Chi group exercise for 8 weeks (60 min/session, three times/week). Outcomes were measured before and after Tai Chi intervention including pain intensity (VAS), Brief Pain Inventory (BPI), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), plasma metabolites (amino acids and lipids), as well as resting-state functional magnetic resonance imaging (rs-fMRI, 10 min, eyes open), diffusion tensor imaging (DTI, 12 min), and structural MRI (4.5 min) in a subgroup. Clinical data was analyzed using paired t-tests; plasma metabolites were analyzed using Wilcoxon signed-rank tests; and rs-fMRI data were analyzed using seed-based correlations of the left and right amygdala in a two-level mixed-effects model (FSL software). Correlations between amygdala-medial prefrontal cortex (mPFC) connectivity and corresponding changes in clinical outcomes were examined. DTI connectivity of each amygdala was modeled using a Bayesian approach and probabilistic tractography. The associations between neurobiological effects and pain/physical function were examined. Results: Significant pre/post changes were observed with reduced knee pain (VAS with most pain: p = 0.018; WOMAC-pain: p = 0.021; BPI with worst level: p = 0.018) and stiffness (WOMAC-stiffness, p = 0.020), that likely contributed to improved physical function (WOMAC-physical function: p = 0.018) with TC. Moderate to large effect sizes pre/post increase in rs-fMRI connectivity were observed between bilateral mPFC and the amygdala seed regions (i.e., left: d = 0.988, p = 0.355; right: d = 0.600, p = 0.282). Increased DTI connectivity was observed between bilateral mPFC and left amygdala (d = 0.720, p = 0.156). There were moderate-high correlations (r = 0.28–0.60) between TC-associated pre-post changes in amygdala-mPFC functional connectivity and pain/physical function improvement. Significantly higher levels of lysophosphatidylcholines were observed after TC but lower levels of some essential amino acids. Amino acid levels (alanine, lysine, and methionine) were lower after 8 weeks of TC and many of the lipid metabolites were higher after TC. Further, plasma non-HDL cholesterol levels were lower after TC. Conclusion: This pilot study showed moderate to large effect sizes, suggesting an important role that cortico-amygdala interactions related to TC have on pain and physical function in subjects with knee osteoarthritis pain. Metabolite analyses revealed a metabolic shift of higher lyso-lipids and lower amino acids that might suggest greater fatty acid catabolism, protein turnover and changes in lipid redistribution in response to TC exercise. The results also support therapeutic strategies aimed at strengthening functional and structural connectivity between the mPFC and the amygdala. Controlled clinical trials are warranted to confirm these observed preliminary effects.
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Affiliation(s)
- Chwan-Li Shen
- Department of Pathology, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Center of Excellence for Integrative Health, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Center of Excellence for Translational Neuroscience and Therapeutics, Texas Tech University Health Sciences Center, Lubbock, TX, United States
| | - Bruce A Watkins
- Department of Nutrition, University of California, Davis, Davis, CA, United States
| | - Chanaka Kahathuduwa
- Center of Excellence for Integrative Health, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Center of Excellence for Translational Neuroscience and Therapeutics, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Department of Laboratory Sciences and Primary Care, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Department of Psychiatry, Texas Tech University Health Sciences Center, Lubbock, TX, United States
| | - Ming-Chien Chyu
- Center of Excellence for Integrative Health, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Department of Medical Engineering, Texas Tech University, Lubbock, TX, United States
| | - Masoud Zabet-Moghaddam
- Center for Biotechnology and Genomics, Texas Tech University, Lubbock, TX, United States
| | - Moamen M Elmassry
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, United States
| | - Hui-Ying Luk
- Center of Excellence for Integrative Health, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Center of Excellence for Translational Neuroscience and Therapeutics, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX, United States
| | - Jean-Michel Brismée
- Center of Excellence for Integrative Health, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Department of Rehabilitation Sciences, Texas Tech University Health Sciences Center, Lubbock, TX, United States
| | - Ami Knox
- Clinical Research Institute, Texas Tech University Health Sciences Center, Lubbock, TX, United States
| | - Jaehoon Lee
- Center of Excellence for Integrative Health, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Department of Educational Psychology and Leadership, Texas Tech University, Lubbock, TX, United States
| | - Mimi Zumwalt
- Center of Excellence for Integrative Health, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Department of Orthopedic Surgery, Texas Tech University Health Sciences Center, Lubbock, TX, United States
| | - Rui Wang
- Department of Pathology, Texas Tech University Health Sciences Center, Lubbock, TX, United States
| | - Tor D Wager
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States
| | - Volker Neugebauer
- Center of Excellence for Integrative Health, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Center of Excellence for Translational Neuroscience and Therapeutics, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Department of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX, United States.,Garrison Institute on Aging, Texas Tech University Health Sciences Center, Lubbock, TX, United States
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16
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Abstract
PURPOSE OF REVIEW To provide an overview of recent developments in the field of osteoarthritis research with a focus on insights gleaned from the application of different -omic technologies. RECENT FINDINGS We searched for osteoarthritis-relevant studies focusing on transcriptomics, epigenomics, proteomics and metabolomics, published since November of 2019. Study designs showed a trend towards characterizing the genomic profile of osteoarthritis-relevant tissues with high resolution, for example either by using single-cell technologies or by considering several -omic levels and disease stages. SUMMARY Multitissue interactions (cartilage-subchondral bone; cartilage-synovium) are prevalent in the pathophysiology of osteoarthritis, which is characterized by substantial matrix remodelling in an inflammatory milieu. Subtyping approaches using -omic technologies have contributed to the identification of at least two osteoarthritis endotypes. Studies using data integration approaches have provided molecular maps that are tissue-specific for osteoarthritis and pave the way for expanding these data integration approaches towards a more comprehensive view of disease aetiopathogenesis.
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Affiliation(s)
- Georgia Katsoula
- Technical University of Munich (TUM), School of Medicine, Graduate School of Experimental Medicine
- Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Peter Kreitmaier
- Technical University of Munich (TUM), School of Medicine, Graduate School of Experimental Medicine
- Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Eleftheria Zeggini
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich
- Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
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17
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Zhai G. The role of metabolomics in precision medicine of osteoarthritis: How far are we? OSTEOARTHRITIS AND CARTILAGE OPEN 2021; 3:100170. [DOI: 10.1016/j.ocarto.2021.100170] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/15/2021] [Accepted: 04/25/2021] [Indexed: 11/25/2022] Open
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18
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Analysis of Serum Metabolomics in Rats with Osteoarthritis by Mass Spectrometry. Molecules 2021; 26:molecules26237181. [PMID: 34885759 PMCID: PMC8658788 DOI: 10.3390/molecules26237181] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 11/25/2021] [Accepted: 11/25/2021] [Indexed: 11/26/2022] Open
Abstract
Osteoarthritis is a common multifactorial chronic disease that occurs in articular cartilage, subchondral bone, and periarticular tissue. The pathogenesis of OA is still unclear. To investigate the differences in serum metabolites between OA and the control group, liquid chromatography/mass spectrometry (LC/MS)-based metabolomics was used. To reveal the pathogenesis of OA, 12 SD male rats were randomly divided into control and OA groups using collagenase to induce OA for modeling, and serum was collected 7 days after modeling for testing. The OA group was distinguished from the control group by principal component analysis and orthogonal partial least squares-discriminant analysis, and six biomarkers were finally identified. These biomarkers were metabolized through tryptophan metabolism, glutamate metabolism, nitrogen metabolism, spermidine metabolism, and fatty acid metabolism pathways. The study identified metabolites that may be altered in OA, suggesting a role in OA through relevant metabolic pathways. Metabolomics, as an important tool for studying disease mechanisms, provides useful information for studying the metabolic mechanisms of OA.
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Alterations in the gut microbiota and metabolite profiles of patients with Kashin-Beck disease, an endemic osteoarthritis in China. Cell Death Dis 2021; 12:1015. [PMID: 34711812 PMCID: PMC8553765 DOI: 10.1038/s41419-021-04322-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 10/12/2021] [Accepted: 10/18/2021] [Indexed: 12/13/2022]
Abstract
Kashin-Beck disease (KBD) is a severe osteochondral disorder that may be driven by the interaction between genetic and environmental factors. We aimed to improve our understanding of the gut microbiota structure in KBD patients of different grades and the relationship between the gut microbiota and serum metabolites. Fecal and serum samples collected from KBD patients and normal controls (NCs) were used to characterize the gut microbiota using 16S rDNA gene and metabolomic sequencing via liquid chromatography-mass spectrometry (LC/MS). To identify whether gut microbial changes at the species level are associated with the genes or functions of the gut bacteria in the KBD patients, metagenomic sequencing of fecal samples from grade I KBD, grade II KBD and NC subjects was performed. The KBD group was characterized by elevated levels of Fusobacteria and Bacteroidetes. A total of 56 genera were identified to be significantly differentially abundant between the two groups. The genera Alloprevotella, Robinsoniella, Megamonas, and Escherichia_Shigella were more abundant in the KBD group. Consistent with the 16S rDNA analysis at the genus level, most of the differentially abundant species in KBD subjects belonged to the genus Prevotella according to metagenomic sequencing. Serum metabolomic analysis identified some differentially abundant metabolites among the grade I and II KBD and NC groups that were involved in lipid metabolism metabolic networks, such as that for unsaturated fatty acids and glycerophospholipids. Furthermore, we found that these differences in metabolite levels were associated with altered abundances of specific species. Our study provides a comprehensive landscape of the gut microbiota and metabolites in KBD patients and provides substantial evidence of a novel interplay between the gut microbiome and metabolome in KBD pathogenesis.
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Li JT, Zeng N, Yan ZP, Liao T, Ni GX. A review of applications of metabolomics in osteoarthritis. Clin Rheumatol 2021; 40:2569-2579. [PMID: 33219452 DOI: 10.1007/s10067-020-05511-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 11/10/2020] [Accepted: 11/15/2020] [Indexed: 02/08/2023]
Abstract
Osteoarthritis (OA) represents the most prevalent and disabling arthritis worldwide due to its heterogeneous and progressive articular degradation. However, effective and timely diagnosis and fundamental treatment for this disorder are lacking. Metabolomics, a growing field in life science research in recent years, has the potential to detect many metabolites and thus explains the underlying pathophysiological processes. Hence, new specific metabolic markers and related metabolic pathways can be identified for OA. In this review, we aimed to provide an overview of studies related to the metabolomics of OA in animal models and humans to describe the metabolic changes and related pathways for OA. The present metabolomics studies reveal that the pathogenesis of OA may be significantly related to perturbations of amino acid metabolism. These altered amino acids (e.g., branched-chain amino acids, arginine, and alanine), as well as phospholipids, were identified as potential biomarkers to distinguish patients with OA from healthy individuals.
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Affiliation(s)
- Jie-Ting Li
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China
| | - Ni Zeng
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China
| | - Zhi-Peng Yan
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China
| | - Tao Liao
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China
| | - Guo-Xin Ni
- School of Sport Medicine and Rehabilitation, Beijing Sport University, Beijing, 100084, People's Republic of China.
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Rocha B, Cillero-Pastor B, Ruiz-Romero C, Paine MRL, Cañete JD, Heeren RMA, Blanco FJ. Identification of a distinct lipidomic profile in the osteoarthritic synovial membrane by mass spectrometry imaging. Osteoarthritis Cartilage 2021; 29:750-761. [PMID: 33582239 DOI: 10.1016/j.joca.2020.12.025] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 11/12/2020] [Accepted: 12/16/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Synovial inflammation is one of the most characteristic events in different types of arthritis, including Osteoarthritis (OA). Emerging evidence also suggests the involvement of lipids in the regulation of inflammatory processes. The aim of this study was to elucidate the heterogeneity and spatial distribution of lipids in the OA synovial membrane and explore their putative involvement in inflammation. METHOD The abundance and distribution of lipids were examined in human synovial membranes. To this end, histological cuts from this tissue were analysed by matrix-assisted laser desorption ionization - mass spectrometry imaging (MALDI-MSI). The lipidomic profile of OA synovium was characterized and compared with healthy and other forms of inflammatory arthropathies as Rheumatoid Arthritis (RA) and Psoriatic Arthritis (PsA) using principal component analysis and discriminant analysis methods. Lipid identification was undertaken by tandem MS analyses and database queries. RESULTS Our results reveal differential and characteristic lipidomic profiles between OA and control samples. Specifically, we unveiled that OA synovium presents elevated levels of phosphatidylcholines, fatty acids and lysophosphatidic acids and lower levels of lysophosphatidylcholines compared to control tissues. The spatial distribution of particular glycerophospholipids was also correlated with hypertrophic, inflamed or vascularized synovial areas. Compared with other inflammatory arthritis, the OA tissue showed lower amounts of phosphatidylethanolamine-based plasmalogens. CONCLUSIONS This study provides a novel insight into the lipid profiles of synovial membrane and differences in abundance between OA and control tissues. The lipidomic alterations improves understanding of the pathogenic mechanisms of OA and may be important for its diagnosis.
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Affiliation(s)
- B Rocha
- Grupo de Unidad de Proteómica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), C/ As Xubias de Arriba 84, 15006, A Coruña, Spain
| | - B Cillero-Pastor
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, the Netherlands
| | - C Ruiz-Romero
- Grupo de Unidad de Proteómica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), C/ As Xubias de Arriba 84, 15006, A Coruña, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - M R L Paine
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, the Netherlands
| | - J D Cañete
- Unidad de Artritis. Servicio de Reumatología. Hospital Clínico de Barcelona, Barcelona, Spain
| | - R M A Heeren
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, the Netherlands
| | - F J Blanco
- Grupo de Unidad de Proteómica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), C/ As Xubias de Arriba 84, 15006, A Coruña, Spain; Universidade da Coruña (UDC), Grupo de Investigación de Reumatología y Salud (GIR-S), Departamento de Fisioterapia, Medicina y Ciencias Biomédicas, Facultad de Fisioterapia, Campus de Oza, 15008, A Coruña, Spain.
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