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Shakeri M, Aminian A, Mokhtari K, Bahaeddini M, Tabrizian P, Farahani N, Nabavi N, Hashemi M. Unraveling the molecular landscape of osteoarthritis: A comprehensive review focused on the role of non-coding RNAs. Pathol Res Pract 2024; 260:155446. [PMID: 39004001 DOI: 10.1016/j.prp.2024.155446] [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: 05/25/2024] [Revised: 06/27/2024] [Accepted: 06/28/2024] [Indexed: 07/16/2024]
Abstract
Osteoarthritis (OA) poses a significant global health challenge, with its prevalence anticipated to increase in the coming years. This review delves into the emerging molecular biomarkers in OA pathology, focusing on the roles of various molecules such as metabolites, noncoding RNAs (ncRNAs), including microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs). Advances in omics technologies have transformed biomarker identification, enabling comprehensive analyses of the complex pathways involved in OA pathogenesis. Notably, ncRNAs, especially miRNAs and lncRNAs, exhibit dysregulated expression patterns in OA, presenting promising opportunities for diagnosis and therapy. Additionally, the intricate interplay between epigenetic modifications and OA progression highlights the regulatory role of epigenetics in gene expression dynamics. Genome-wide association studies have pinpointed key genes undergoing epigenetic changes, providing insights into the inflammatory processes and chondrocyte hypertrophy typical of OA. Understanding the molecular landscape of OA, including biomarkers and epigenetic mechanisms, holds significant potential for developing innovative diagnostic tools and therapeutic strategies for OA management.
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Affiliation(s)
- Mohammadreza Shakeri
- MD, Bone and Joint Reconstruction Research Center, Shafa Orthopedic Hospital, Department of Orthopedic, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Amir Aminian
- MD, Bone and Joint Reconstruction Research Center, Shafa Orthopedic Hospital, Department of Orthopedic, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Khatere Mokhtari
- Department of Cellular and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran
| | - Mohammadreza Bahaeddini
- MD, Bone and Joint Reconstruction Research Center, Shafa Orthopedic Hospital, Department of Orthopedic, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
| | - Pouria Tabrizian
- MD, Bone and Joint Reconstruction Research Center, Shafa Orthopedic Hospital, Department of Orthopedic, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
| | - Najma Farahani
- Department of Genetics and Molecular Biology, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Noushin Nabavi
- Independent Researcher, Victoria, British Columbia V8V 1P7, Canada
| | - Mehrdad Hashemi
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
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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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Murphy J, Pak S, Shteynman L, Winkeler I, Jin Z, Kaczocha M, Bergese SD. Mechanisms and Preventative Strategies for Persistent Pain following Knee and Hip Joint Replacement Surgery: A Narrative Review. Int J Mol Sci 2024; 25:4722. [PMID: 38731944 PMCID: PMC11083264 DOI: 10.3390/ijms25094722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 04/19/2024] [Accepted: 04/21/2024] [Indexed: 05/13/2024] Open
Abstract
Chronic postsurgical pain (CPSP) following total knee arthroplasty (TKA) and total hip arthroplasty (THA) is a prevalent complication of joint replacement surgery which has the potential to decrease patient satisfaction, increase financial burden, and lead to long-term disability. The identification of risk factors for CPSP following TKA and THA is challenging but essential for targeted preventative therapy. Recent meta-analyses and individual studies highlight associations between elevated state anxiety, depression scores, preoperative pain, diabetes, sleep disturbances, and various other factors with an increased risk of CPSP, with differences observed in prevalence between TKA and THA. While the etiology of CPSP is not fully understood, several factors such as chronic inflammation and preoperative central sensitization have been identified. Other potential mechanisms include genetic factors (e.g., catechol-O-methyltransferase (COMT) and potassium inwardly rectifying channel subfamily J member 6 (KCNJ6) genes), lipid markers, and psychological risk factors (anxiety and depression). With regards to therapeutics and prevention, multimodal pharmacological analgesia, emphasizing nonopioid analgesics like acetaminophen and non-steroidal anti-inflammatory drugs (NSAIDs), has gained prominence over epidural analgesia. Nerve blocks and local infiltrative anesthesia have shown mixed results in preventing CPSP. Ketamine, an N-methyl-D-aspartate (NMDA)-receptor antagonist, exhibits antihyperalgesic properties, but its efficacy in reducing CPSP is inconclusive. Lidocaine, an amide-type local anesthetic, shows tentative positive effects on CPSP. Selective serotonin reuptake inhibitors (SSRIs) and serotonin norepinephrine reuptake inhibitors (SNRIs) have mixed results, while gabapentinoids, like gabapentin and pregabalin, present hopeful data but require further research, especially in the context of TKA and THA, to justify their use for CPSP prevention.
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Affiliation(s)
- Jasper Murphy
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA; (J.M.); (S.P.); (L.S.); (I.W.)
| | - Sery Pak
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA; (J.M.); (S.P.); (L.S.); (I.W.)
| | - Lana Shteynman
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA; (J.M.); (S.P.); (L.S.); (I.W.)
| | - Ian Winkeler
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA; (J.M.); (S.P.); (L.S.); (I.W.)
| | - Zhaosheng Jin
- Department of Anesthesiology, Stony Brook University, Stony Brook, NY 11794, USA; (M.K.); (S.D.B.)
| | - Martin Kaczocha
- Department of Anesthesiology, Stony Brook University, Stony Brook, NY 11794, USA; (M.K.); (S.D.B.)
| | - Sergio D. Bergese
- Department of Anesthesiology, Stony Brook University, Stony Brook, NY 11794, USA; (M.K.); (S.D.B.)
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Rai MF, Collins KH, Lang A, Maerz T, Geurts J, Ruiz-Romero C, June RK, Ramos Y, Rice SJ, Ali SA, Pastrello C, Jurisica I, Thomas Appleton C, Rockel JS, Kapoor M. Three decades of advancements in osteoarthritis research: insights from transcriptomic, proteomic, and metabolomic studies. Osteoarthritis Cartilage 2024; 32:385-397. [PMID: 38049029 DOI: 10.1016/j.joca.2023.11.019] [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: 10/10/2023] [Revised: 11/22/2023] [Accepted: 11/29/2023] [Indexed: 12/06/2023]
Abstract
OBJECTIVE Osteoarthritis (OA) is a complex disease involving contributions from both local joint tissues and systemic sources. Patient characteristics, encompassing sociodemographic and clinical variables, are intricately linked with OA rendering its understanding challenging. Technological advancements have allowed for a comprehensive analysis of transcripts, proteomes and metabolomes in OA tissues/fluids through omic analyses. The objective of this review is to highlight the advancements achieved by omic studies in enhancing our understanding of OA pathogenesis over the last three decades. DESIGN We conducted an extensive literature search focusing on transcriptomics, proteomics and metabolomics within the context of OA. Specifically, we explore how these technologies have identified individual transcripts, proteins, and metabolites, as well as distinctive endotype signatures from various body tissues or fluids of OA patients, including insights at the single-cell level, to advance our understanding of this highly complex disease. RESULTS Omic studies reveal the description of numerous individual molecules and molecular patterns within OA-associated tissues and fluids. This includes the identification of specific cell (sub)types and associated pathways that contribute to disease mechanisms. However, there remains a necessity to further advance these technologies to delineate the spatial organization of cellular subtypes and molecular patterns within OA-afflicted tissues. CONCLUSIONS Leveraging a multi-omics approach that integrates datasets from diverse molecular detection technologies, combined with patients' clinical and sociodemographic features, and molecular and regulatory networks, holds promise for identifying unique patient endophenotypes. This holistic approach can illuminate the heterogeneity among OA patients and, in turn, facilitate the development of tailored therapeutic interventions.
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Affiliation(s)
- Muhammad Farooq Rai
- Department of Anatomy and Cellular Biology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Kelsey H Collins
- Department of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Annemarie Lang
- Departments of Orthopaedic Surgery and Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Tristan Maerz
- Department of Orthopaedic Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Jeroen Geurts
- Rheumatology, Department of Musculoskeletal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Cristina Ruiz-Romero
- Grupo de Investigación de Reumatología (GIR), Unidad de Proteómica, INIBIC -Hospital Universitario A Coruña, SERGAS, Spain
| | - Ronald K June
- Department of Mechanical & Industrial Engineering, Montana State University, Bozeman, MT, USA
| | - Yolande Ramos
- Dept. Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Sarah J Rice
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Shabana Amanda Ali
- Henry Ford Health + Michigan State University Health Sciences, Detroit, MI, USA
| | - Chiara Pastrello
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN, Toronto, ON, Canada
| | - Igor Jurisica
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN, Toronto, ON, Canada; Departments of Medical Biophysics and Computer Science, University of Toronto, Toronto, ON, Canada
| | - C Thomas Appleton
- Department of Medicine, University of Western Ontario, London, ON, Canada
| | - Jason S Rockel
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN, Toronto, ON, Canada
| | - Mohit Kapoor
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN, Toronto, ON, Canada.
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Sluka KA, Wager TD, Sutherland SP, Labosky PA, Balach T, Bayman EO, Berardi G, Brummett CM, Burns J, Buvanendran A, Caffo B, Calhoun VD, Clauw D, Chang A, Coffey CS, Dailey DL, Ecklund D, Fiehn O, Fisch KM, Frey Law LA, Harris RE, Harte SE, Howard TD, Jacobs J, Jacobs JM, Jepsen K, Johnston N, Langefeld CD, Laurent LC, Lenzi R, Lindquist MA, Lokshin A, Kahn A, McCarthy RJ, Olivier M, Porter L, Qian WJ, Sankar CA, Satterlee J, Swensen AC, Vance CG, Waljee J, Wandner LD, Williams DA, Wixson RL, Zhou XJ. Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures. Pain 2023; 164:1912-1926. [PMID: 37326643 PMCID: PMC10436361 DOI: 10.1097/j.pain.0000000000002938] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 03/02/2023] [Accepted: 03/02/2023] [Indexed: 06/17/2023]
Abstract
ABSTRACT Chronic pain affects more than 50 million Americans. Treatments remain inadequate, in large part, because the pathophysiological mechanisms underlying the development of chronic pain remain poorly understood. Pain biomarkers could potentially identify and measure biological pathways and phenotypical expressions that are altered by pain, provide insight into biological treatment targets, and help identify at-risk patients who might benefit from early intervention. Biomarkers are used to diagnose, track, and treat other diseases, but no validated clinical biomarkers exist yet for chronic pain. To address this problem, the National Institutes of Health Common Fund launched the Acute to Chronic Pain Signatures (A2CPS) program to evaluate candidate biomarkers, develop them into biosignatures, and discover novel biomarkers for chronification of pain after surgery. This article discusses candidate biomarkers identified by A2CPS for evaluation, including genomic, proteomic, metabolomic, lipidomic, neuroimaging, psychophysical, psychological, and behavioral measures. Acute to Chronic Pain Signatures will provide the most comprehensive investigation of biomarkers for the transition to chronic postsurgical pain undertaken to date. Data and analytic resources generatedby A2CPS will be shared with the scientific community in hopes that other investigators will extract valuable insights beyond A2CPS's initial findings. This article will review the identified biomarkers and rationale for including them, the current state of the science on biomarkers of the transition from acute to chronic pain, gaps in the literature, and how A2CPS will address these gaps.
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Affiliation(s)
- Kathleen A. Sluka
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Tor D. Wager
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH
| | - Stephani P. Sutherland
- Department of Biostatistics, Johns Hopkins Bloomberg Schools of Public Health, Baltimore, MD
| | - Patricia A. Labosky
- Office of Strategic Coordination, Division of Program Coordination, Planning and Strategic Initiatives, Office of the Director, National Institutes of Health, Bethesda, MD
| | - Tessa Balach
- Department of Orthopaedic Surgery and Rehabilitation Medicine, The University of Chicago, Chicago, IL
| | - Emine O. Bayman
- Clinical Trials and Data Management Center, Department of Biostatistics, University of Iowa, Iowa City, IA
| | - Giovanni Berardi
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Chad M. Brummett
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI
| | - John Burns
- Division of Behavioral Sciences, Rush Medical College, Chicago, IL
| | | | - Brian Caffo
- Department of Biostatistics, Johns Hopkins Bloomberg Schools of Public Health, Baltimore, MD
| | - Vince D. Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, and Emory University, Atlanta, GA
| | - Daniel Clauw
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI
| | - Andrew Chang
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI
| | - Christopher S. Coffey
- Clinical Trials and Data Management Center, Department of Biostatistics, University of Iowa, Iowa City, IA
| | - Dana L. Dailey
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Dixie Ecklund
- Clinical Trials and Data Management Center, Department of Biostatistics, University of Iowa, Iowa City, IA
| | - Oliver Fiehn
- University of California, Davis, Davis, CA, United States
| | - Kathleen M. Fisch
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, San Diego, CA, United States
- Center for Computational Biology and Bioinformatics, University of California San Diego, San Diego, CA, United States
| | - Laura A. Frey Law
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Richard E. Harris
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI
| | - Steven E. Harte
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI
| | - Timothy D. Howard
- Department of Biochemistry, Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
- Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
| | - Joshua Jacobs
- Department of Orthopedic Surgery, Rush Medical College, CHicago, IL
| | - Jon M. Jacobs
- Environmental and Molecular Sciences Laboratory, Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA
| | | | | | - Carl D. Langefeld
- Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
- Department of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
| | - Louise C. Laurent
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, San Diego, CA, United States
| | - Rebecca Lenzi
- Office of Strategic Coordination, Division of Program Coordination, Planning and Strategic Initiatives, Office of the Director, National Institutes of Health, Bethesda, MD
| | - Martin A. Lindquist
- Department of Biostatistics, Johns Hopkins Bloomberg Schools of Public Health, Baltimore, MD
| | | | - Ari Kahn
- Texas Advanced Computing Center, University of Texas, AUstin, TX
| | | | - Michael Olivier
- Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
- Department of Internal Medicine, Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
| | - Linda Porter
- National Institute of Neurological Disorders and Stroke, Bethesda, MD
- Office of Pain Policy and Planning National Institutes of Health, Bethesda, MD
| | - Wei-Jun Qian
- Environmental and Molecular Sciences Laboratory, Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA
| | - Cheryse A. Sankar
- National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | | | - Adam C. Swensen
- Environmental and Molecular Sciences Laboratory, Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA
| | - Carol G.T. Vance
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Jennifer Waljee
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI
| | - Laura D. Wandner
- National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - David A. Williams
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI
| | | | - Xiaohong Joe Zhou
- Center for MR Research and Departments of Radiology, Neurosurgery, and Bioengineering, University of Illinois College of Medicine at Chicago, Chicago, IL, United States
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Sandhu A, Rockel JS, Lively S, Kapoor M. Emerging molecular biomarkers in osteoarthritis pathology. Ther Adv Musculoskelet Dis 2023; 15:1759720X231177116. [PMID: 37359177 PMCID: PMC10288416 DOI: 10.1177/1759720x231177116] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 04/24/2023] [Indexed: 06/28/2023] Open
Abstract
Osteoarthritis (OA) is the most common form of arthritis resulting in joint discomfort and disability, culminating in decline in life quality. Attention has been drawn in recent years to disease-associated molecular biomarkers found in readily accessible biofluids due to low invasiveness of acquisition and their potential to detect early pathological molecular changes not observed with traditional imaging methodology. These biochemical markers of OA have been found in synovial fluid, blood, and urine. They include emerging molecular classes, such as metabolites and noncoding RNAs, as well as classical biomarkers, like inflammatory mediators and by-products of degradative processes involving articular cartilage. Although blood-based biomarkers tend to be most studied, the use of synovial fluid, a more isolated biofluid in the synovial joint, and urine as an excreted fluid containing OA biomarkers can offer valuable information on local and overall disease activity, respectively. Furthermore, larger clinical studies are required to determine relationships between biomarkers in different biofluids, and their impacts on patient measures of OA. This narrative review provides a concise overview of recent studies of OA using these four classes of biomarkers as potential biomarker for measuring disease incidence, staging, prognosis, and therapeutic intervention efficacy.
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Affiliation(s)
- Amit Sandhu
- Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada
- Krembil Research Institute, University Health Network, Toronto, ON, Canada
| | - Jason S. Rockel
- Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada
- Krembil Research Institute, University Health Network, Toronto, ON, Canada
| | - Starlee Lively
- Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada
- Krembil Research Institute, University Health Network, Toronto, ON, Canada
| | - Mohit Kapoor
- Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, 60 Leonard Avenue, 5th Floor Krembil Discovery Tower, Toronto, ON M5G 2C4, Canada
- Krembil Research Institute, University Health Network, Toronto, ON, Canada
- Department of Surgery and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
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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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8
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Cui Z, Feng H, He B, He J, Tian H, Tian Y. Causal associations between serum amino acid levels and osteoarthritis: A Mendelian randomization study. Osteoarthritis Cartilage 2023:S1063-4584(23)00759-8. [PMID: 37088265 DOI: 10.1016/j.joca.2023.04.005] [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: 03/16/2022] [Revised: 03/25/2023] [Accepted: 04/01/2023] [Indexed: 04/25/2023]
Abstract
OBJECTIVE The association between serum amino acid (AA) levels and osteoarthritis (OA) risk remains unclear. METHOD We performed a two-sample Mendelian randomization (MR) analysis to analyze the causal effects of. serum AA levels on the OA risk by using summary-level genome-wide association study (GWAS) data. Inverse variance weighted (IVW) and Wald ratio were used as the main analysis.We also applied MR-Egger, Weighted median and Robust Adjusted Profile Score (MR.RAPS) methods. Heterogeneity and horizontally pleiotropic outliers were checked. The causal effects of AAs on early-onset all OA were explored. We also performed multivariable MR (MVMR) and conducted the bidirectional MR. RESULTS The results suggested that genetically predicted alanine (Ala), tyrosine (Tyr) and isoleucine (Ile) levels were significantly associated with OA risk (e.g., association between Ala and hip/knee OA risk: OR = 0.82, 95% CI = 0.75 ∼ 0.90, p = 1.54E-05). The study yielded little evidence of associations between genetically predicted AA levels with early-onset all OA risk. When adjusting the BMI in the MVMR model, suggestive causal effects of Ala and Tyr were also identified, while the effects of Ile substantially attenuated with OA risk. No significant associations between OA and AA levels were observed after testing for bidirectionality. CONCLUSIONS Some AAs, such as Ala, Tyr and Ile likely affects the OA risk especially at hip or knee joints. The findings highlight the important role that serum AAs might play in the development of OA and provided new treatment approaches to OA.
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Affiliation(s)
- Zhiyong Cui
- Department of Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Orthopaedics, Peking University Third Hospital, Beijing, China
| | - Hui Feng
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China
| | - Baichuan He
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China
| | - Jinyao He
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China
| | - Hua Tian
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China.
| | - Yun Tian
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China.
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Li J, Wang X, Li X, Liu D, Zhai L, Wang X, Kang R, Yokota H, Yang L, Zhang P. Mechanical Loading Promotes the Migration of Endogenous Stem Cells and Chondrogenic Differentiation in a Mouse Model of Osteoarthritis. Calcif Tissue Int 2023; 112:363-376. [PMID: 36566445 DOI: 10.1007/s00223-022-01052-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 12/15/2022] [Indexed: 12/26/2022]
Abstract
Osteoarthritis (OA) is a major health problem, characterized by progressive cartilage degeneration. Previous works have shown that mechanical loading can alleviate OA symptoms by suppressing catabolic activities. This study evaluated whether mechanical loading can enhance anabolic activities by facilitating the recruitment of stem cells for chondrogenesis. We evaluated cartilage degradation in a mouse model of OA through histology with H&E and safranin O staining. We also evaluated the migration and chondrogenic ability of stem cells using in vitro assays, including immunohistochemistry, immunofluorescence, and Western blot analysis. The result showed that the OA mice that received mechanical loading exhibited resilience to cartilage damage. Compared to the OA group, mechanical loading promoted the expression of Piezo1 and the migration of stem cells was promoted via the SDF-1/CXCR4 axis. Also, the chondrogenic differentiation was enhanced by the upregulation of SOX9, a transcription factor important for chondrogenesis. Collectively, the results revealed that mechanical loading facilitated cartilage repair by promoting the migration and chondrogenic differentiation of endogenous stem cells. This study provided new insights into the loading-driven engagement of endogenous stem cells and the enhancement of anabolic responses for the treatment of OA.
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Affiliation(s)
- Jie Li
- Department of Anatomy and Histology, School of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Tianjin, 300070, China
- Key Laboratory of Hormones and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, 300070, China
| | - Xiaoyu Wang
- Department of Anatomy and Histology, School of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Tianjin, 300070, China
| | - Xinle Li
- Department of Anatomy and Histology, School of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Tianjin, 300070, China
- Key Laboratory of Hormones and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, 300070, China
| | - Daquan Liu
- Department of Anatomy and Histology, School of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Tianjin, 300070, China
- Key Laboratory of Hormones and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, 300070, China
| | - Lidong Zhai
- Department of Anatomy and Histology, School of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Tianjin, 300070, China
| | - Xuetong Wang
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Ran Kang
- Department of Anatomy and Histology, School of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Tianjin, 300070, China
| | - Hiroki Yokota
- Department of Biomedical Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202, USA
| | - Lei Yang
- Center for Health Sciences and Engineering, Hebei Key Laboratory of Biomaterials and Smart Theranostics, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, 300131, China
| | - Ping Zhang
- Department of Anatomy and Histology, School of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Tianjin, 300070, China.
- Key Laboratory of Hormones and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, 300070, China.
- Tianjin Key Laboratory of Spine and Spinal Cord, Tianjin Medical University, Tianjin, 300052, China.
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10
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Manzi M, Zabalegui N, Monge ME. Postoperative Metabolic Phenoreversion in Clear Cell Renal Cell Carcinoma. J Proteome Res 2023; 22:1-15. [PMID: 36484409 DOI: 10.1021/acs.jproteome.2c00293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The ultimate goal of surgical treatment in cancer is to remove the tumor mass for restoring a healthy state. A 16-lipid panel that discriminated healthy controls from clear cell renal cell carcinoma (ccRCC) patients in a prior study was evaluated in the present work in paired-serum samples collected from patients (n = 41) before and after nephrectomy. Changes in the lipid and metabolite fingerprints from ccRCC patients were investigated and compared with fingerprints from healthy individuals obtained by means of ultra-performance liquid chromatography-high-resolution mass spectrometry. The lipid panel differentiated phenotypes associated with metabolic restoration after surgery, representing a serum signature of phenoreversion to a healthy metabolic state. In particular, PC 16:0/0:0, PC 18:2/18:2, and linoleic acid allowed discriminating serum samples from ccRCC patients with poor prognosis from those with an improved outcome during the follow-up period. Ratios of PC 16:0/0:0 and PC 18:2/18:2 with linoleic acid levels may contribute as prognostic tools to support decision-making during the patient follow-up care. The preliminary character of these results should be validated with larger cohorts, including subjects with different ethnicities, life style, and diets. MetaboLights study references: MTBLS1839, MTBLS3838, and MTBLS4629.
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Affiliation(s)
- Malena Manzi
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD Ciudad de Buenos Aires, Argentina.,Departamento de Fisiología, Biología molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, C1428EGA Buenos Aires, Argentina
| | - Nicolás Zabalegui
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD Ciudad de Buenos Aires, Argentina.,Departamento de Química Inorgánica, Analítica y Química Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, C1428EGA Buenos Aires, Argentina
| | - María Eugenia Monge
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD Ciudad de Buenos Aires, Argentina
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11
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Liu M, Zhang H, Xie Z, Huang Y, Sun G, Qi D, Furey A, Randell EW, Rahman P, Zhai G. Glutathione, polyamine, and lysophosphatidylcholine synthesis pathways are associated with circulating pro-inflammatory cytokines. Metabolomics 2022; 18:76. [PMID: 36180605 DOI: 10.1007/s11306-022-01932-5] [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: 06/01/2022] [Accepted: 08/29/2022] [Indexed: 10/14/2022]
Abstract
INTRODUCTION Pro-inflammatory cytokines are responsible for initiating an effective defense against exogenous pathogens, and their regulation has a vital role in maintaining physiological homeostasis. The involvement of pro-inflammatory cytokines in pathological conditions have been explored in great detail, however, studies investigating metabolic pathways associated with these cytokines under normal homeostatic conditions are scarce. OBJECTIVES The aim of the current study was to identify metabolites and metabolic pathways associated with circulating pro-inflammatory cytokines under homeostatic conditions using a metabolomics approach. METHODS The study participants (n = 133) were derived from the Newfoundland Osteoarthritis Study (NFOAS) and the Complex Diseases in the Newfoundland population: Environment and Genetics (CODING) study. Plasma concentrations of cytokines including tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), interleukin-1 beta (IL-1β), and macrophage migration inhibitory factor (MIF) were assessed by enzyme-linked immunosorbent assay. Targeted metabolomic profiling on fasting plasma samples was performed using Biocrates MxP® Quant 500 kit which measures a total of 630 metabolites. Associations between natural log-transformed metabolite concentrations and metabolite sums/ratios and cytokine levels were assessed using linear regression with adjustment for age, sex, body mass index (BMI), and osteoarthritis status. RESULTS Seven metabolites and 11 metabolite sums/ratios were found to be significantly associated with TNF-α, IL-1β, and MIF (all p ≤ 5.13 × 10- 5) after controlling multiple testing with Bonferroni method, indicating the association between glutathione (GSH), polyamine, and lysophosphatidylcholine (lysoPC) synthesis pathways and these pro-inflammatory cytokines. CONCLUSION GSH, polyamine, and lysoPC synthesis pathways were positively associated with circulating TNF-α, IL-1β, and MIF levels under homeostatic conditions.
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Affiliation(s)
- Ming Liu
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Hongwei Zhang
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Zikun Xie
- Xiangya Hospital, Central South University, Changsha, China
| | - Yiheng Huang
- College of Pharmacy, University of Manitoba, Winnipeg, Canada
| | - Guang Sun
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Dake Qi
- College of Pharmacy, University of Manitoba, Winnipeg, Canada
| | - Andrew Furey
- Discipline of Surgery, Faculty of Medicine, Memorial University of Newfoundland and Office of the Premier, Government of Newfoundland and Labrador, St. John's, Canada
| | - Edward W Randell
- Discipline of Laboratory Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Proton Rahman
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Guangju Zhai
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada.
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12
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Liu M, Huang Y, Zhang H, Aitken D, Nevitt MC, Rockel JS, Pelletier JP, Lewis CE, Torner J, Rampersaud YR, Perruccio AV, Mahomed NN, Furey A, Randell EW, Rahman P, Sun G, Martel-Pelletier J, Kapoor M, Jones G, Felson D, Qi D, Zhai G. Restricting Branched-Chain Amino Acids within a High-Fat Diet Prevents Obesity. Metabolites 2022; 12:334. [PMID: 35448521 PMCID: PMC9030079 DOI: 10.3390/metabo12040334] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 02/01/2023] Open
Abstract
Obesity is a global pandemic, but there is yet no effective measure to control it. Recent metabolomics studies have identified a signature of altered amino acid profiles to be associated with obesity, but it is unclear whether these findings have actionable clinical potential. The aims of this study were to reveal the metabolic alterations of obesity and to explore potential strategies to mitigate obesity. We performed targeted metabolomic profiling of the plasma/serum samples collected from six independent cohorts and conducted an individual data meta-analysis of metabolomics for body mass index (BMI) and obesity. Based on the findings, we hypothesized that restriction of branched-chain amino acids (BCAAs), phenylalanine, or tryptophan may prevent obesity and tested our hypothesis in a dietary restriction trial with eight groups of 4-week-old male C57BL/6J mice (n = 5/group) on eight different types of diets, respectively, for 16 weeks. A total of 3397 individuals were included in the meta-analysis. The mean BMI was 30.7 ± 6.1 kg/m2, and 49% of participants were obese. Fifty-eight metabolites were associated with BMI and obesity (all p ≤ 2.58 × 10-4), linked to alterations of the BCAA, phenylalanine, tryptophan, and phospholipid metabolic pathways. The restriction of BCAAs within a high-fat diet (HFD) maintained the mice's weight, fat and lean volume, subcutaneous and visceral adipose tissue weight, and serum glucose and insulin at levels similar to those in the standard chow group, and prevented obesity, adipocyte hypertrophy, adipose inflammation, and insulin resistance induced by HFD. Our data suggest that four metabolic pathways, BCAA, phenylalanine, tryptophan, and phospholipid metabolic pathways, are altered in obesity and restriction of BCAAs within a HFD can prevent the development of obesity and insulin resistance in mice, providing a promising strategy to potentially mitigate diet-induced obesity.
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Affiliation(s)
- Ming Liu
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada;
| | - Yiheng Huang
- College of Pharmacy, University of Manitoba, Winnipeg, MB R3E 0T5, Canada; (Y.H.); (D.Q.)
| | - Hongwei Zhang
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (H.Z.); (P.R.); (G.S.)
| | - Dawn Aitken
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; (D.A.); (G.J.)
| | - Michael C. Nevitt
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA;
| | - Jason S. Rockel
- Osteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON M5T 2S8, Canada; (J.S.R.); (Y.R.R.); (A.V.P.); (N.N.M.); (M.K.)
| | - Jean-Pierre Pelletier
- Osteoarthritis Research Unit, University of Montreal Hospital Research Centre (CRCHUM), Montreal, QC H2X 0A9, Canada; (J.-P.P.); (J.M.-P.)
| | - Cora E. Lewis
- Department of Epidemiology, University of Alabama, Birmingham, AL 35233, USA;
| | - James Torner
- Department of Epidemiology, University of Iowa, Iowa City, IA 52242, USA;
| | - Yoga Raja Rampersaud
- Osteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON M5T 2S8, Canada; (J.S.R.); (Y.R.R.); (A.V.P.); (N.N.M.); (M.K.)
| | - Anthony V. Perruccio
- Osteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON M5T 2S8, Canada; (J.S.R.); (Y.R.R.); (A.V.P.); (N.N.M.); (M.K.)
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 2S8, Canada
| | - Nizar N. Mahomed
- Osteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON M5T 2S8, Canada; (J.S.R.); (Y.R.R.); (A.V.P.); (N.N.M.); (M.K.)
- Department of Surgery, University of Toronto, Toronto, ON M5T 2S8, Canada
| | - Andrew Furey
- Discipline of Surgery, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada;
- Office of the Premier, Government of Newfoundland and Labrador, St. John’s, NL A1B 4J6, Canada
| | - Edward W. Randell
- Discipline of Laboratory Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada;
| | - Proton Rahman
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (H.Z.); (P.R.); (G.S.)
| | - Guang Sun
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (H.Z.); (P.R.); (G.S.)
| | - Johanne Martel-Pelletier
- Osteoarthritis Research Unit, University of Montreal Hospital Research Centre (CRCHUM), Montreal, QC H2X 0A9, Canada; (J.-P.P.); (J.M.-P.)
| | - Mohit Kapoor
- Osteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON M5T 2S8, Canada; (J.S.R.); (Y.R.R.); (A.V.P.); (N.N.M.); (M.K.)
| | - Graeme Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; (D.A.); (G.J.)
| | - David Felson
- Department of Rheumatology, Boston University School of Medicine, Boston, MA 02118, USA;
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Dake Qi
- College of Pharmacy, University of Manitoba, Winnipeg, MB R3E 0T5, Canada; (Y.H.); (D.Q.)
| | - Guangju Zhai
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada;
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13
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Rockel JS, Layeghifard M, Rampersaud YR, Perruccio AV, Mahomed NN, Davey JR, Syed K, Gandhi R, Kapoor M. Identification of a differential metabolite-based signature in patients with late-stage knee osteoarthritis. OSTEOARTHRITIS AND CARTILAGE OPEN 2022; 4:100258. [DOI: 10.1016/j.ocarto.2022.100258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 01/11/2022] [Accepted: 03/04/2022] [Indexed: 10/18/2022] Open
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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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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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Sphingomyelin is involved in multisite musculoskeletal pain: evidence from metabolomic analysis in 2 independent cohorts. Pain 2021; 162:1876-1881. [PMID: 33273416 DOI: 10.1097/j.pain.0000000000002163] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 11/25/2020] [Indexed: 01/05/2023]
Abstract
ABSTRACT Metabolic dysfunction has been suggested to be involved in musculoskeletal pain; however, few studies have identified metabolic markers associated with multisite musculoskeletal pain (MSMP). This study sought to identify metabolic marker(s) for MSMP by metabolomic analysis. The Tasmanian Older Adult Cohort Study (TASOAC) provided the discovery cohort with the Newfoundland Osteoarthritis Study (NFOAS) providing the replication cohort. Multisite musculoskeletal pain was assessed by a self-reported pain questionnaire and defined as painful sites ≥4 in both the TASOAC and the NFOAS. Furthermore, MSMP was also defined as painful sites ≥7, whereas non-MSMP was defined as either painful sites <7 or ≤1 in the NFOAS. Serum samples of the TASOAC received metabolic profiling using The Metabolomics Innovation Centre Prime Metabolomics Profiling Assay. The data on the identified metabolites were retrieved from NFOAS metabolomic database for the purpose of replication. A total of 409 participants were included in the TASOAC, 38% of them had MSMP. Among the 143 metabolites assessed, 129 passed quality control and were included in the analysis. Sphingomyelin (SM) C18:1 was significantly associated with MSMP (odds ratio [OR] per log µM increase = 3.96, 95% confidence interval, 1.95-8.22; P = 0.0002). The significance remained in multivariable analysis (OR per log µM increase = 2.70, 95% confidence interval, 1.25-5.95). A total of 610 participants were included in the NFOAS, and the association with SM C18:1 was successfully replicated with 3 MSMP definitions (OR ranging from 1.89 to 2.82; all P < 0.03). Our findings suggest that sphingomyelin metabolism is involved in the pathogenesis of MSMP, and the circulating level of SM C18:1 could serve as a potential marker in the management of MSMP.
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Freo U, Brugnatelli V, Turco F, Zanette G. Analgesic and Antidepressant Effects of the Clinical Glutamate Modulators Acetyl-L-Carnitine and Ketamine. Front Neurosci 2021; 15:584649. [PMID: 34045938 PMCID: PMC8144463 DOI: 10.3389/fnins.2021.584649] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 03/04/2021] [Indexed: 12/26/2022] Open
Abstract
Pain and depression are leading causes of disability and of profound social and economic burden. Their impact is aggravated by their chronicity and comorbidity and the insufficient efficacy of current treatments. Morphological and functional metabolism studies link chronic pain and depressive disorders to dysfunctional neuroplastic changes in fronto-limbic brain regions that control emotional responses to painful injuries and stressful events. Glutamate modulators are emerging new therapies targeting dysfunctional brain areas implicated in the generation and maintenance of chronic pain and depression. Here, we report the effects of two clinically approved glutamate modulators: acetyl-L-carnitine (ALCAR) and S, R(±)ketamine (KET). ALCAR is a natural neurotrophic compound currently marketed for the treatment of neuropathies. KET is the prototypical non-competitive antagonist at N-methyl-D-aspartate glutamate receptors and a clinically approved anesthetic. Although they differ in pharmacological profiles, ALCAR and KET both modulate aminergic and glutamatergic neurotransmissions and pain and mood. We assessed in rats the effects of ALCAR and KET on cerebral metabolic rates for glucose (rCMRglc) and assessed clinically the effects of ALCAR in chronic pain and of KET in post-operative pain. ALCAR and KET increased rCMRglc at similar degrees in prefrontal, somatosensory, and cingulate cortices, and KET increased rCMRglc at a different, much larger, degree in limbic and dopaminergic areas. While rCMRglc increases in prefrontal cortical areas have been associated with analgesic and antidepressant effects of ALCAR and KET, the marked metabolic increases KET induces in limbic and dopaminergic areas have been related to its psychotomimetic and abuse properties. In patients with chronic neuropathic pain, ALCAR (1,000 mg/day) yielded to a fast (2 weeks) improvement of mood and then of pain and quality of life. In day-surgery patients, KET improved dischargeability and satisfaction. In obese patients undergoing bariatric surgery, a single, low dose of KET (0.5 mg/kg) at induction of anesthesia determined a very fast (hours) amelioration of post-operative depression and pain and an opioid-sparing effect. These findings indicate that ALCAR and KET, two non-selective glutamate modulators, still offer viable therapeutic options in comorbid pain and depression.
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Affiliation(s)
- Ulderico Freo
- Section of Anesthesiology and Intensive Care, Department of Medicine-DIMED, University of Padua, Padua, Italy
| | - Viola Brugnatelli
- Section of Dentistry, Department of Neurosciences-DNS, University of Padua, Padua, Italy
| | - Fabio Turco
- Molecular Biology and Biochemistry Laboratory, Department of Neurogastroenterology, University of Naples Federico II, Naples, Italy
| | - Gastone Zanette
- Section of Dentistry, Department of Neurosciences-DNS, University of Padua, Padua, Italy
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18
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Costello CA, Liu M, Furey A, Rahman P, Randell EW, Zhai G. Association Between Epidemiological Factors and Nonresponders to Total Joint Replacement Surgery in Primary Osteoarthritis Patients. J Arthroplasty 2021; 36:1502-1510.e5. [PMID: 33288389 DOI: 10.1016/j.arth.2020.11.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/27/2020] [Accepted: 11/12/2020] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND While total joint replacement (TJR) is the most effective treatment for end-stage osteoarthritis (OA), one-third of patients do not experience clinically important improvement in pain or function following the surgery. Thus, it is important to identify factors for nonresponders and develop strategies to improve TJR outcomes. METHODS Study participants were patients who underwent TJR (hip/knee) due to OA and completed the WOMAC before and on average 4 years after surgery. Nonresponders (pain nonresponders, function nonresponders, pain and function nonresponders) were determined using the WOMAC change score from baseline to follow-up under two previously reported criteria. Eighty-eight self-reported factors collected by a general health questionnaire were examined for associations with nonresponders. RESULTS A total of 601 patients (30.8% hip and 69.2% knee replacement) were included; 18% of them were found to be either pain or function nonresponders. Nine factors were identified in the univariable analyses to be associated with nonresponders, and 5 of them (clinical depression, multisite musculoskeletal pain [MSMP], younger age, golfer's elbow, and driving more than 4 hours on average per working day) remained significant in the multivariable analyses in at least one of six categories. Clinical depression, having MSMP, and younger age were the major factors to be independently associated with nonresponders across five categories. In addition, two factors (age at menopause and age at hysterectomy) were significantly associated with female nonresponders. CONCLUSION Our data suggested potential roles of pain perception, widespread pain sensitization, patient expectations, and early menopause in females in TJR outcomes, warranting further investigation.
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Affiliation(s)
- Christie A Costello
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Ming Liu
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Andrew Furey
- Division of Orthopaedic Surgery, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Proton Rahman
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Edward W Randell
- Discipline of Laboratory Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Guangju Zhai
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
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Liu M, Xie Z, Sun G, Chen L, Qi D, Zhang H, Xiong J, Furey A, Rahman P, Lei G, Zhai G. Macrophage migration inhibitory factor may play a protective role in osteoarthritis. Arthritis Res Ther 2021; 23:59. [PMID: 33610191 PMCID: PMC7896408 DOI: 10.1186/s13075-021-02442-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 02/10/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Osteoarthritis (OA) is the most prevalent form of arthritis and the major cause of disability and overall diminution of quality of life in the elderly population. Currently there is no cure for OA, partly due to the large gaps in our understanding of its underlying molecular and cellular mechanisms. Macrophage migration inhibitory factor (MIF) is a procytokine that mediates pleiotropic inflammatory effects in inflammatory diseases such as rheumatoid arthritis (RA) and ankylosing spondylitis (AS). However, data on the role of MIF in OA is limited with conflicting results. We undertook this study to investigate the role of MIF in OA by examining MIF genotype, mRNA expression, and protein levels in the Newfoundland Osteoarthritis Study. METHODS One hundred nineteen end-stage knee/hip OA patients, 16 RA patients, and 113 healthy controls were included in the study. Two polymorphisms in the MIF gene, rs755622, and -794 CATT5-8, were genotyped using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and PCR followed by automated capillary electrophoresis, respectively. MIF mRNA levels in articular cartilage and subchondral bone were measured by quantitative polymerase chain reaction. Plasma concentrations of MIF, tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and interleukin-1 beta (IL-1β) were measured by enzyme-linked immunosorbent assay. RESULTS rs755622 and -794 CATT5-8 genotypes were not associated with MIF mRNA or protein levels or OA (all p ≥ 0.19). MIF mRNA level in cartilage was lower in OA patients than in controls (p = 0.028) and RA patients (p = 0.004), while the levels in bone were comparable between OA patients and controls (p = 0.165). MIF protein level in plasma was lower in OA patients than in controls (p = 3.01 × 10-10), while the levels of TNF-α, IL-6 and IL-1β in plasma were all significantly higher in OA patients than in controls (all p ≤ 0.0007). Multivariable logistic regression showed lower MIF and higher IL-1β protein levels in plasma were independently associated with OA (OR per SD increase = 0.10 and 8.08; 95% CI = 0.04-0.19 and 4.42-16.82, respectively), but TNF-α and IL-6 became non-significant. CONCLUSIONS Reduced MIF mRNA and protein expression in OA patients suggested MIF might have a protective role in OA and could serve as a biomarker to differentiate OA from other joint disorders.
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Affiliation(s)
- Ming Liu
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1B 3V6, Canada
| | - Zikun Xie
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1B 3V6, Canada.,Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
| | - Guang Sun
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Liujun Chen
- College of Pharmacy, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Dake Qi
- College of Pharmacy, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Hongwei Zhang
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Jieying Xiong
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1B 3V6, Canada
| | - Andrew Furey
- Discipline of Surgery, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Proton Rahman
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Guanghua Lei
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
| | - Guangju Zhai
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1B 3V6, Canada.
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Liu M, Xie Z, Costello CA, Zhang W, Chen L, Qi D, Furey A, Randell EW, Rahman P, Zhai G. Metabolomic analysis coupled with extreme phenotype sampling identified that lysophosphatidylcholines are associated with multisite musculoskeletal pain. Pain 2021; 162:600-608. [PMID: 32833795 PMCID: PMC7808366 DOI: 10.1097/j.pain.0000000000002052] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 08/07/2020] [Accepted: 08/11/2020] [Indexed: 12/18/2022]
Abstract
ABSTRACT Musculoskeletal pain often occurs simultaneously at multiple anatomical sites. The aim of the study was to identify metabolic biomarkers for multisite musculoskeletal pain (MSMP) by metabolomics with an extreme phenotype sampling strategy. The study participants (n = 610) were derived from the Newfoundland Osteoarthritis Study. Musculoskeletal pain was assessed using a self-reported pain questionnaire where painful sites were circled on a manikin by participants and the total number of painful sites were calculated. Targeted metabolomic profiling on fasting plasma samples was performed using the Biocrates AbsoluteIDQ p180 kit. Plasma cytokine concentrations including tumor necrosis factor-α, interleukin-6, interleukin-1β, and macrophage migration inhibitory factor were assessed by enzyme-linked immunosorbent assay. Data on blood cholesterol profiles were retrieved from participants' medical records. Demographic, anthropological, and clinical information was self-reported. The number of reported painful sites ranged between 0 and 21. Two hundred and five participants were included in the analysis comprising 83 who had ≥7 painful sites and 122 who had ≤1 painful site. Women and younger people were more likely to have MSMP (P ≤ 0.02). Multisite musculoskeletal pain was associated with a higher risk of having incontinence, worse functional status and longer period of pain, and higher levels of low-density lipoprotein and non-high-density lipoprotein cholesterol (all P ≤ 0.03). Among the 186 metabolites measured, 2 lysophosphatidylcholines, 1 with 26 carbons with no double bond and 1 with 28 carbons with 1 double bond, were significantly and positively associated with MSMP after adjusting for multiple testing with the Bonferroni method (P ≤ 0.0001) and could be considered as novel metabolic markers for MSMP.
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Affiliation(s)
- Ming Liu
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Zikun Xie
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
| | - Christie A. Costello
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Weidong Zhang
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
- School of Pharmaceutical Sciences, Jilin University, Changchun, China
| | - Liujun Chen
- College of Pharmacy, University of Manitoba, Winnipeg, Canada
| | - Dake Qi
- College of Pharmacy, University of Manitoba, Winnipeg, Canada
| | - Andrew Furey
- Discipline of Surgery, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Edward W. Randell
- Discipline of Laboratory Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Proton Rahman
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Guangju Zhai
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
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Wu Z, Shou L, Wang J, Xu X. Identification of the key gene and pathways associated with osteoarthritis via single-cell RNA sequencing on synovial fibroblasts. Medicine (Baltimore) 2020; 99:e21707. [PMID: 32872047 PMCID: PMC7437759 DOI: 10.1097/md.0000000000021707] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Osteoarthritis (OA) is a chronic degenerative joint disease with its onset closely related to the growth of synovial fibroblasts (SFs), yet the genes involved in are few reported. In our study, we aimed to identify the OA-associated key gene and pathways via the single-cell RNA sequencing (scRNA-seq) analysis on SFs.scRNA-seq data of SFs from OA sufferers were accessed from GEO database, then the genes involved in were subjected to principal component analysis (PCA) and T-Stochastic Neighbor Embedding (TSNE) Analysis. GO and KEGG enrichment analyses were performed to find the most enriched functions and pathways associated with marker genes and a PPI network was constructed to identify the key gene associated with OA occurrence.Findings revealed that marker genes in three cell types identified by TSNE were mainly activated in pathways firmly related to fibroblasts growth, such as extracellular matrix, immune and cell adhesion molecule binding-associated functions and pathways. Moreover, fibronectin1 (FN1) was validated as the key gene that was tightly related to the growth of SFs, as well as had the potential to play a key role in OA occurrence.Our study explored the key gene and pathways associated with OA occurrence, which were of great value in further investigation of OA diagnosis as well as pathogenesis.
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Affiliation(s)
| | - Lu Shou
- Department of Pneumology, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
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Aroke EN, Powell-Roach KL. The Metabolomics of Chronic Pain Conditions: A Systematic Review. Biol Res Nurs 2020; 22:458-471. [PMID: 32666804 DOI: 10.1177/1099800420941105] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Chronic pain is a significant public health problem in the United States, affecting approximately 100 million people. Yet there is a lack of robust biomarkers for clinical use in chronic pain conditions. Downstream effects of environmental, genomic, and proteomic variations in individuals with chronic pain conditions can be identified and quantified using a metabolomic approach. AIM/DESIGN The purpose of this systematic review was to examine the literature for reports of potential metabolomic signatures associated with chronic pain conditions. METHODS We searched relevant electronic databases for published studies that used various metabolomic approaches to investigate chronic pain conditions among subjects of all ages. RESULTS Our search identified a total of 586 articles, 18 of which are included in this review. The reviewed studies used metabolomics to investigate fibromyalgia (n = 5), osteoarthritis (n = 4), migraine (n = 3), musculoskeletal pain (n = 2), and other chronic pain conditions (n = 1/condition). Results show that several known and newly identified metabolites differ in individuals with chronic pain conditions compared to those without these conditions. These include amino acids (e.g., glutamine, serine, and phenylalanine) and intermediate products (e.g., succinate, citrate, acetylcarnitine, and N-acetylornithine) of pathways that metabolize various macromolecules. CONCLUSION Though more high-quality research is needed, this review provides insights into potential biomarkers for future metabolomics studies in people with chronic pain conditions.
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Affiliation(s)
- Edwin N Aroke
- School of Nursing, University of Alabama at Birmingham, AL, USA
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Costello CA, Hu T, Liu M, Zhang W, Furey A, Fan Z, Rahman P, Randell EW, Zhai G. Differential correlation network analysis identified novel metabolomics signatures for non-responders to total joint replacement in primary osteoarthritis patients. Metabolomics 2020; 16:61. [PMID: 32335722 PMCID: PMC7183485 DOI: 10.1007/s11306-020-01683-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 04/17/2020] [Indexed: 12/27/2022]
Abstract
INTRODUCTION Up to one third of total joint replacement patients (TJR) experience poor surgical outcome. OBJECTIVES To identify metabolomic signatures for non-responders to TJR in primary osteoarthritis (OA) patients. METHODS A newly developed differential correlation network analysis method was applied to our previously published metabolomic dataset to identify metabolomic network signatures for non-responders to TJR. RESULTS Differential correlation networks involving 12 metabolites and 23 metabolites were identified for pain non-responders and function non-responders, respectively. CONCLUSION The differential networks suggest that inflammation, muscle breakdown, wound healing, and metabolic syndrome may all play roles in TJR response, warranting further investigation.
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Affiliation(s)
- Christie A Costello
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1B 3V6, Canada
| | - Ting Hu
- Department of Computer Science, Faculty of Science, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Ming Liu
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1B 3V6, Canada
| | - Weidong Zhang
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1B 3V6, Canada
- School of Pharmaceutical Sciences, Jilin University, Changchun, People's Republic of China
| | - Andrew Furey
- Division of Orthopaedic Surgery, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Zhaozhi Fan
- Department of Mathematics and Statistics, Faculty of Science, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Proton Rahman
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Edward W Randell
- Discipline of Laboratory Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Guangju Zhai
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1B 3V6, Canada.
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