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Binvignat M, Sellam J, Berenbaum F, Felson DT. The role of obesity and adipose tissue dysfunction in osteoarthritis pain. Nat Rev Rheumatol 2024; 20:565-584. [PMID: 39112603 DOI: 10.1038/s41584-024-01143-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/05/2024] [Indexed: 08/29/2024]
Abstract
Obesity has a pivotal and multifaceted role in pain associated with osteoarthritis (OA), extending beyond the mechanistic influence of BMI. It exerts its effects both directly and indirectly through various modifiable risk factors associated with OA-related pain. Adipose tissue dysfunction is highly involved in OA-related pain through local and systemic inflammation, immune dysfunction, and the production of pro-inflammatory cytokines and adipokines. Adipose tissue dysfunction is intricately connected with metabolic syndrome, which independently exerts specific effects on OA-related pain, distinct from its association with BMI. The interplay among obesity, adipose tissue dysfunction and metabolic syndrome influences OA-related pain through diverse pain mechanisms, including nociceptive pain, peripheral sensitization and central sensitization. These complex interactions contribute to the heightened pain experience observed in individuals with OA and obesity. In addition, pain management strategies are less efficient in individuals with obesity. Importantly, therapeutic interventions targeting obesity and metabolic syndrome hold promise in managing OA-related pain. A deeper understanding of the intricate relationship between obesity, metabolic syndrome and OA-related pain is crucial and could have important implications for improving pain management and developing innovative therapeutic options in OA.
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Affiliation(s)
- Marie Binvignat
- Department of Rheumatology, Sorbonne University, AP-HP Saint-Antoine hospital, Paris, France
- Sorbonne University, INSERM UMRS_938, Centre de Recherche Saint-Antoine (CRSA), Paris Center for Microbiome Medicine (PaCeMM) FHU, Paris, France
- Sorbonne University, INSERM UMRS_959, I3 Lab Immunology Immunopathology Immunotherapy, Paris, France
| | - Jérémie Sellam
- Department of Rheumatology, Sorbonne University, AP-HP Saint-Antoine hospital, Paris, France.
- Sorbonne University, INSERM UMRS_938, Centre de Recherche Saint-Antoine (CRSA), Paris Center for Microbiome Medicine (PaCeMM) FHU, Paris, France.
| | - Francis Berenbaum
- Department of Rheumatology, Sorbonne University, AP-HP Saint-Antoine hospital, Paris, France
- Sorbonne University, INSERM UMRS_938, Centre de Recherche Saint-Antoine (CRSA), Paris Center for Microbiome Medicine (PaCeMM) FHU, Paris, France
| | - David T Felson
- Boston University School of Medicine, Department of Medicine, Section of Rheumatology, Boston, MA, USA
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Tu B, Zhu Z, Lu P, Fang R, Peng C, Tong J, Ning R. Proteomic and lipidomic landscape of the infrapatellar fat pad and its clinical significance in knee osteoarthritis. Biochim Biophys Acta Mol Cell Biol Lipids 2024; 1869:159513. [PMID: 38788831 DOI: 10.1016/j.bbalip.2024.159513] [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: 06/15/2023] [Revised: 04/25/2024] [Accepted: 05/20/2024] [Indexed: 05/26/2024]
Abstract
Osteoarthritis (OA) is a prevalent joint disease that can be exacerbated by lipid metabolism disorders. The intra-articular fat pad (IFP) has emerged as an active participant in the pathological changes of knee OA (KOA). However, the proteomic and lipidomic differences between IFP tissues from KOA and control individuals remain unclear. Samples of IFP were collected from individuals with and without OA (n = 6, n = 6). Subsequently, these samples underwent liquid chromatography/mass spectrometry-based label-free quantitative proteomic and lipidomic analysis to identify differentially expressed proteins (DEPs) and lipid metabolites (DELMs). The DEPs were further subjected to enrichment analysis, and hub DEPs were identified using multiple algorithms. Additionally, an OA diagnostic model was constructed based on the identified hub DEPs or DELMs. Furthermore, CIBERSORT was utilized to investigate the correlation between hub protein expression and immune-related modules in IFP of OA. Our results revealed the presence of 315 DEPs and eight DELMs in IFP of OA patients compared to the control group. Enrichment analysis of DEPs highlighted potential alterations in pathways related to coagulation, complement, fatty acid metabolism, and adipogenesis. The diagnostic model incorporating four hub DEPs (AUC = 0.861) or eight DELMs (AUC = 0.917) exhibited excellent clinical validity for diagnosing OA. Furthermore, the hub DEPs were found to be associated with immune dysfunction in IFP of OA. This study presents a distinct proteomic and lipidomic landscape of IFP between individuals with OA and those without. These findings provide valuable insights into the molecular changes associated with potential mechanisms underlying OA.
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Affiliation(s)
- Bizhi Tu
- Department of Orthopedics, The Third Affiliated Hospital of Anhui Medical University (The First People's Hospital of Hefei), 390 Huaihe Road, Hefei 230061, Anhui, China
| | - Zheng Zhu
- Department of Orthopedics, The Third Affiliated Hospital of Anhui Medical University (The First People's Hospital of Hefei), 390 Huaihe Road, Hefei 230061, Anhui, China
| | - Peizhi Lu
- Department of Orthopedics, The Third Affiliated Hospital of Anhui Medical University (The First People's Hospital of Hefei), 390 Huaihe Road, Hefei 230061, Anhui, China; Department of Orthopedics, Bengbu Medical College, Bengbu City 233000, China
| | - Run Fang
- Department of Orthopedics, The Third Affiliated Hospital of Anhui Medical University (The First People's Hospital of Hefei), 390 Huaihe Road, Hefei 230061, Anhui, China
| | - Cheng Peng
- Department of Orthopedics, The Third Affiliated Hospital of Anhui Medical University (The First People's Hospital of Hefei), 390 Huaihe Road, Hefei 230061, Anhui, China
| | - Jun Tong
- Department of Orthopedics, The Third Affiliated Hospital of Anhui Medical University (The First People's Hospital of Hefei), 390 Huaihe Road, Hefei 230061, Anhui, China
| | - Rende Ning
- Department of Orthopedics, The Third Affiliated Hospital of Anhui Medical University (The First People's Hospital of Hefei), 390 Huaihe Road, Hefei 230061, Anhui, China; Department of Orthopedics, Bengbu Medical College, Bengbu City 233000, China.
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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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Dhillon J, Pandey S, Newman JW, Fiehn O, Ortiz RM. Metabolic Responses to an Acute Glucose Challenge: The Differential Effects of Eight Weeks of Almond vs. Cracker Consumption in Young Adults. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.19.24307571. [PMID: 38826341 PMCID: PMC11142291 DOI: 10.1101/2024.05.19.24307571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
This study investigated the dynamic responses to an acute glucose challenge following chronic almond versus cracker consumption for 8 weeks (clinicaltrials.gov ID: NCT03084003). Seventy-three young adults (age: 18-19 years, BMI: 18-41 kg/m2) participated in an 8-week randomized, controlled, parallel-arm intervention and were randomly assigned to consume either almonds (2 oz/d, n=38) or an isocaloric control snack of graham crackers (325 kcal/d, n=35) daily for 8 weeks. Twenty participants from each group underwent a 2-hour oral glucose tolerance test (oGTT) at the end of the 8-week intervention. Metabolite abundances in the oGTT serum samples were quantified using untargeted metabolomics, and targeted analyses for free PUFAs, total fatty acids, oxylipins, and endocannabinoids. Multivariate, univariate, and chemical enrichment analyses were conducted to identify significant metabolic shifts. Findings exhibit a biphasic lipid response distinguished by higher levels of unsaturated triglycerides in the earlier periods of the oGTT followed by lower levels in the latter period in the almond versus cracker group (p-value<0.05, chemical enrichment analyses). Almond (vs. cracker) consumption was also associated with higher AUC120 min of aminomalonate, and oxylipins (p-value<0.05), but lower AUC120 min of L-cystine, N-acetylmannosamine, and isoheptadecanoic acid (p-value<0.05). Additionally, the Matsuda Index in the almond group correlated with AUC120 min of CE 22:6 (r=-0.46; p-value<0.05) and 12,13 DiHOME (r=0.45; p-value<0.05). Almond consumption for 8 weeks leads to dynamic, differential shifts in response to an acute glucose challenge, marked by alterations in lipid and amino acid mediators involved in metabolic and physiological pathways.
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Affiliation(s)
- Jaapna Dhillon
- Department of Nutrition and Exercise Physiology, University of Missouri, Columbia
- Department of Molecular and Cell Biology, University of California, Merced
| | - Saurabh Pandey
- Department of Nutrition and Exercise Physiology, University of Missouri, Columbia
- Jaypee University of Information Technology, Waknaghat, India
| | - John W. Newman
- West Coast Metabolomics Center, University of California, Davis
- Department of Nutrition, University of California, Davis
- Obesity and Metabolism Research Unit, USDA Agricultural Research Service Western Human Nutrition Research Center, University of California, Davis
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California, Davis
| | - Rudy M. Ortiz
- Department of Molecular and Cell Biology, University of California, Merced
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Rebouta J, Dória L, Coelho A, Fonseca MM, Castilla-Fernández G, Pires NM, Vieira-Coelho MA, Loureiro AI. HR/MS-based lipidome analysis of rat brain modulated by tolcapone. J Pharm Biomed Anal 2024; 241:115971. [PMID: 38266454 DOI: 10.1016/j.jpba.2024.115971] [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: 04/14/2023] [Revised: 01/06/2024] [Accepted: 01/07/2024] [Indexed: 01/26/2024]
Abstract
Lipids play key roles in the body, influencing cellular regulation, function, and signalling. Tolcapone, a potent catechol-O-methyltransferase (COMT) inhibitor described to enhance cognitive performance in healthy subjects, was previously shown to impact fatty acid β-oxidation and oxidative phosphorylation. However, its impact on the brain lipidome remains unexplored. Hence, this study aimed to assess how tolcapone affects the lipidome of the rat pre-frontal cortex (PFC), a region of the brain highly relevant to tolcapone therapeutic effect, while evaluating its influence on operant behaviour. Tolcapone at 20 mg/kg was chronically administered to Wistar rats during a behavioural task and an untargeted liquid chromatography high-resolution mass spectrometry (LC-HR/MS) approach was employed to profile lipid species. The untargeted analysis identified 7227 features, of which only 33% underwent statistical analysis following data pre-processing. The results revealed an improved cognitive performance and a lipidome remodelling promoted by tolcapone. The lipidomic analysis showed 32 differentially expressed lipid species in tolcapone-treated animals (FC ≥ 1.2, p-value ≤ 0.1), and among these several triacylglycerols, cardiolipins and N-acylethanolamine (NAE 16:2) were found upregulated whereas fatty acids, hexosylceramides, and several phospholipids including phosphatidylcholines and phosphatidylethanolamines were downregulated. These preliminary findings shed light on tolcapone impact on lipid pathways within the brain. Although tolcapone improved cognitive performance and literature suggests the significance of lipids in cognition, this study did not conclusively establish that lipids directly drove or contributed to this outcome. Nevertheless, it underscores the importance of lipid modulation and encourages further exploration of tolcapone-associated mechanisms in the central nervous system (CNS).
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Affiliation(s)
- Joana Rebouta
- Department of Biomedicine, Unit of Pharmacology and Therapeutics, University of Porto, Porto, Portugal.
| | - Luísa Dória
- R&D department, BIAL - Portela & Cª - S.A., 4745-457 Coronado, S. Mamede e S. Romão, Portugal
| | - Ana Coelho
- R&D department, BIAL - Portela & Cª - S.A., 4745-457 Coronado, S. Mamede e S. Romão, Portugal
| | - Miguel M Fonseca
- R&D department, BIAL - Portela & Cª - S.A., 4745-457 Coronado, S. Mamede e S. Romão, Portugal
| | | | - Nuno M Pires
- R&D department, BIAL - Portela & Cª - S.A., 4745-457 Coronado, S. Mamede e S. Romão, Portugal
| | - M A Vieira-Coelho
- MedinUp - Center for Drug Discovery and Innovative Medicine, University of Porto, Porto, Portugal
| | - Ana I Loureiro
- R&D department, BIAL - Portela & Cª - S.A., 4745-457 Coronado, S. Mamede e S. Romão, Portugal
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Gerhardtova I, Jankech T, Majerova P, Piestansky J, Olesova D, Kovac A, Jampilek J. Recent Analytical Methodologies in Lipid Analysis. Int J Mol Sci 2024; 25:2249. [PMID: 38396926 PMCID: PMC10889185 DOI: 10.3390/ijms25042249] [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: 01/19/2024] [Revised: 02/09/2024] [Accepted: 02/11/2024] [Indexed: 02/25/2024] Open
Abstract
Lipids represent a large group of biomolecules that are responsible for various functions in organisms. Diseases such as diabetes, chronic inflammation, neurological disorders, or neurodegenerative and cardiovascular diseases can be caused by lipid imbalance. Due to the different stereochemical properties and composition of fatty acyl groups of molecules in most lipid classes, quantification of lipids and development of lipidomic analytical techniques are problematic. Identification of different lipid species from complex matrices is difficult, and therefore individual analytical steps, which include extraction, separation, and detection of lipids, must be chosen properly. This review critically documents recent strategies for lipid analysis from sample pretreatment to instrumental analysis and data interpretation published in the last five years (2019 to 2023). The advantages and disadvantages of various extraction methods are covered. The instrumental analysis step comprises methods for lipid identification and quantification. Mass spectrometry (MS) is the most used technique in lipid analysis, which can be performed by direct infusion MS approach or in combination with suitable separation techniques such as liquid chromatography or gas chromatography. Special attention is also given to the correct evaluation and interpretation of the data obtained from the lipid analyses. Only accurate, precise, robust and reliable analytical strategies are able to bring complex and useful lipidomic information, which may contribute to clarification of some diseases at the molecular level, and may be used as putative biomarkers and/or therapeutic targets.
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Affiliation(s)
- Ivana Gerhardtova
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
- Department of Analytical Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovicova 6, SK-842 15 Bratislava, Slovakia
| | - Timotej Jankech
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
- Department of Analytical Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovicova 6, SK-842 15 Bratislava, Slovakia
| | - Petra Majerova
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
| | - Juraj Piestansky
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
- Toxicological and Antidoping Center, Faculty of Pharmacy, Comenius University in Bratislava, Odbojarov 10, SK-832 32 Bratislava, Slovakia
- Department of Galenic Pharmacy, Faculty of Pharmacy, Comenius University in Bratislava, Odbojarov 10, SK-832 32 Bratislava, Slovakia
| | - Dominika Olesova
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
- Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 05 Bratislava, Slovakia
| | - Andrej Kovac
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
- Department of Pharmacology and Toxicology, University of Veterinary Medicine and Pharmacy in Kosice, Komenskeho 68/73, SK-041 81 Kosice, Slovakia
| | - Josef Jampilek
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
- Department of Analytical Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovicova 6, SK-842 15 Bratislava, Slovakia
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Wei G, Lu K, Umar M, Zhu Z, Lu WW, Speakman JR, Chen Y, Tong L, Chen D. Risk of metabolic abnormalities in osteoarthritis: a new perspective to understand its pathological mechanisms. Bone Res 2023; 11:63. [PMID: 38052778 PMCID: PMC10698167 DOI: 10.1038/s41413-023-00301-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/11/2023] [Accepted: 10/27/2023] [Indexed: 12/07/2023] Open
Abstract
Although aging has traditionally been viewed as the most important risk factor for osteoarthritis (OA), an increasing amount of epidemiological evidence has highlighted the association between metabolic abnormalities and OA, particularly in younger individuals. Metabolic abnormalities, such as obesity and type II diabetes, are strongly linked to OA, and they affect both weight-bearing and non-weight-bearing joints, thus suggesting that the pathogenesis of OA is more complicated than the mechanical stress induced by overweight. This review aims to explore the recent advances in research on the relationship between metabolic abnormalities and OA risk, including the impact of abnormal glucose and lipid metabolism, the potential pathogenesis and targeted therapeutic strategies.
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Affiliation(s)
- Guizheng Wei
- Department of Bone and Joint Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
- Research Center for Computer-aided Drug Discovery, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Faculty of Pharmaceutical Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Ke Lu
- Research Center for Computer-aided Drug Discovery, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Faculty of Pharmaceutical Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Muhammad Umar
- Research Center for Computer-aided Drug Discovery, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Faculty of Pharmaceutical Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Zhenglin Zhu
- Department of Orthopedic Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - William W Lu
- Faculty of Pharmaceutical Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - John R Speakman
- Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yan Chen
- Department of Bone and Joint Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
| | - Liping Tong
- Research Center for Computer-aided Drug Discovery, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Di Chen
- Research Center for Computer-aided Drug Discovery, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Faculty of Pharmaceutical Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
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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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10
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Meng X, Bi Q, Ma Q, Wei Y, Li Y, Liang M, Xu H. Dietary Cholesterol Differentially Regulates the Muscle Lipidomics of Farmed Turbot and Tiger Puffer. Animals (Basel) 2023; 13:ani13101632. [PMID: 37238062 DOI: 10.3390/ani13101632] [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: 03/23/2023] [Revised: 04/27/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
Exogenous cholesterol has been supplemented into aqua-feeds due to the reduced proportions of fishmeal and fish oil. This study aimed to investigate the effects of dietary cholesterol supplementation on the muscle lipidomics of two marine fish species, turbot and tiger puffer. A 70-day feeding trial was conducted, where two low-fishmeal diets supplemented with 0 or 1% cholesterol were used. The lipidomic analysis with targeted tandem mass spectrometry showed that, in turbot, a total of 49 individual lipids exhibited significant differences in their abundance in response to dietary cholesterol, whereas the number was 30 for tiger puffer. Dietary cholesterol up-regulated the abundance of cholesterol and cholesterol ester in both species. In turbot, the dietary cholesterol also increased the abundance of triacylglycerol and acylcarnitine, whereas in tiger puffer, it primarily regulated the abundance of phospholipids and BMP. This was the first time the responses of marine fish muscle lipidomics to dietary cholesterol supplementation have been investigated.
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Affiliation(s)
- Xiaoxue Meng
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 106 Nanjing Road, Qingdao 266071, China
- College of Fisheries, Guangdong Ocean University, 1 Haida Road, Zhanjiang 524008, China
| | - Qingzhu Bi
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 106 Nanjing Road, Qingdao 266071, China
| | - Qiang Ma
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 106 Nanjing Road, Qingdao 266071, China
| | - Yuliang Wei
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 106 Nanjing Road, Qingdao 266071, China
| | - Yanlu Li
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 106 Nanjing Road, Qingdao 266071, China
| | - Mengqing Liang
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 106 Nanjing Road, Qingdao 266071, China
| | - Houguo Xu
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 106 Nanjing Road, Qingdao 266071, China
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11
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Van Pevenage PM, Birchmier JT, June RK. Utilizing metabolomics to identify potential biomarkers and perturbed metabolic pathways in osteoarthritis: A systematic review. Semin Arthritis Rheum 2023; 59:152163. [PMID: 36736024 PMCID: PMC9992342 DOI: 10.1016/j.semarthrit.2023.152163] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 12/15/2022] [Accepted: 01/04/2023] [Indexed: 01/15/2023]
Abstract
PURPOSE Osteoarthritis (OA) is a joint disease that is clinically diagnosed using components of history, physical exam, and characteristic radiographic findings, such as joint space narrowing. Currently, there are no laboratory findings that are specific to a diagnosis of OA. The purpose of this systematic review is to evaluate the state of current studies of metabolomic biomarkers that can aid in the diagnosis and treatment of OA. METHODS Articles were gathered from PubMed and Web of Science using the search terms "osteoarthritis" and "biomarkers" and "metabolomics". Last search of databases took place December 3rd, 2022. Duplicates were manually screened, along with any other results that were not original journal articles. Only original reports involving populations with diagnosed primary or secondary OA (human participants) or surgically induced OA (animal participants) and a healthy control group for comparison were considered for inclusion. Metabolites and metabolic pathways reported in included articles were then manually extracted and evaluated for importance based on reported a priori p-values and/or area under the receiver-operator curve (AUC). RESULTS Of the 161 results that were returned in the database searches, 43 unique articles met the inclusion criteria. Articles were categorized based on body fluid analyzed: 6 studies on urine samples, 13 studies on plasma samples, 11 studies on synovial fluid (SF) samples, 11 studies on serum samples, 1 study on both synovial fluid and serum, and 1 study that involved both plasma and synovial fluid. To synthesize results, individual metabolites, as well as metabolic pathways that involve frequently reported metabolites, are presented for each study. Indications as to whether metabolite levels were increased or decreased are also included if this data was included in the original articles. CONCLUSIONS These studies clearly show that there are a wide range of metabolic pathways perturbed in OA. For this period, there was no consensus on a single metabolite, or panel of metabolites, that would be clinically useful in early diagnosis of OA or distinguishing OA from a healthy control. However, many common metabolic pathways were identified in the studies, including TCA cycle, fatty acid metabolism, amino acid metabolism (notably BCAA metabolism and tryptophan metabolism via kynurenine pathway), nucleotide metabolism, urea cycle, cartilage matrix components, and phospholipid metabolism. Future research is needed to define effective clinical biomarkers of osteoarthritis from metabolomic and other data.
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Affiliation(s)
| | - Jaedyn T Birchmier
- Department of Mechanical & Industrial Engineering, Montana State University, United States
| | - Ronald K June
- Department of Mechanical & Industrial Engineering, Montana State University, United States; Department of Microbiology & Cell Biology, Montana State University, United States; Department of Orthopaedics and Sports Medicine, University of Washington, United States.
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12
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Zhang M, Xie D, Wang D, Xu W, Zhang C, Li P, Sun C. Lipidomic profile changes of yellow-feathered chicken meat during thermal processing based on UPLC-ESI-MS approach. Food Chem 2023; 399:133977. [DOI: 10.1016/j.foodchem.2022.133977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 08/15/2022] [Accepted: 08/15/2022] [Indexed: 11/16/2022]
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13
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Clarke EJ, Lima C, Anderson JR, Castanheira C, Beckett A, James V, Hyett J, Goodacre R, Peffers MJ. Optical photothermal infrared spectroscopy can differentiate equine osteoarthritic plasma extracellular vesicles from healthy controls. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:3661-3670. [PMID: 36066093 PMCID: PMC9521322 DOI: 10.1039/d2ay00779g] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/25/2022] [Indexed: 05/26/2023]
Abstract
Equine osteoarthritis is a chronic degenerative disease of the articular joint, characterised by cartilage degradation resulting in pain and reduced mobility and thus is a prominent equine welfare concern. Diagnosis is usually at a late stage through clinical examination and radiographic imaging, whilst treatment is symptomatic not curative. Extracellular vesicles are nanoparticles that are involved in intercellular communication. The objective of this study was to investigate the feasibility of Raman and Optical Photothermal Infrared Spectroscopies to detect osteoarthritis using plasma-derived extracellular vesicles, specifically differentiating extracellular vesicles in diseased and healthy controls within the parameters of the techniques used. Plasma samples were derived from thoroughbred racehorses. A total of 14 samples were selected (control; n = 6 and diseased; n = 8). Extracellular vesicles were isolated using differential ultracentrifugation and characterised using nanoparticle tracking analysis, transmission electron microscopy, and human tetraspanin chips. Samples were then analysed using combined Raman and Optical Photothermal Infrared Spectroscopies. Infrared spectra were collected between 950-1800 cm-1. Raman spectra had bands between the wavelengths of 900-1800 cm-1 analysed. Spectral data for both Raman and Optical Photothermal Infrared Spectroscopy were used to generate clustering via principal components analysis and classification models were generated using partial least squared discriminant analysis in order to characterize the techniques' ability to distinguish diseased samples. Optical Photothermal Infrared Spectroscopy could differentiate osteoarthritic extracellular vesicles from healthy with good classification (93.4% correct classification rate) whereas Raman displayed poor classification (correct classification rate = -64.3%). Inspection of the infrared spectra indicated that plasma-derived extracellular vesicles from osteoarthritic horses contained increased signal for proteins, lipids and nucleic acids. For the first time we demonstrated the ability to use optical photothermal infrared spectroscopy combined with Raman spectroscopy to interrogate extracellular vesicles and osteoarthritis-related samples. Optical Photothermal Infrared Spectroscopy was superior to Raman in this study, and could distinguish osteoarthritis samples, suggestive of its potential use diagnostically to identify osteoarthritis in equine patients. This study demonstrates the potential of Raman and Optical Photothermal Infrared Spectroscopy to be used as a future diagnostic tool in clinical practice, with the capacity to detect changes in extracellular vesicles from clinically derived samples.
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Affiliation(s)
- Emily J Clarke
- Department of Musculoskeletal Biology and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, William Henry Duncan Building, 6 W Derby St, Liverpool L7 8TX, UK.
| | - Cassio Lima
- Centre for Metabolomics Research, Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7BE, UK
| | - James R Anderson
- Department of Musculoskeletal Biology and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, William Henry Duncan Building, 6 W Derby St, Liverpool L7 8TX, UK.
| | - Catarina Castanheira
- Department of Musculoskeletal Biology and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, William Henry Duncan Building, 6 W Derby St, Liverpool L7 8TX, UK.
| | - Alison Beckett
- Biomedical Electron Microscopy Unit, University of Liverpool, UK
| | - Victoria James
- School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington, Loughborough LE12 5RD, UK
| | - Jacob Hyett
- Department of Musculoskeletal Biology and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, William Henry Duncan Building, 6 W Derby St, Liverpool L7 8TX, UK.
| | - Royston Goodacre
- Centre for Metabolomics Research, Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7BE, UK
| | - Mandy J Peffers
- Department of Musculoskeletal Biology and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, William Henry Duncan Building, 6 W Derby St, Liverpool L7 8TX, UK.
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14
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Casati S, Giannasi C, Niada S, Della Morte E, Orioli M, Brini AT. Lipidomics of Cell Secretome Combined with the Study of Selected Bioactive Lipids in an In Vitro Model of Osteoarthritis. Stem Cells Transl Med 2022; 11:959-970. [PMID: 35792075 PMCID: PMC9492289 DOI: 10.1093/stcltm/szac045] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/14/2022] [Indexed: 11/14/2022] Open
Abstract
Analytical advancements in lipidomics have enabled large-scale investigations of lipid biology. Herein, we focused on four bioactive lipid families, namely polyunsaturated fatty acids, eicosanoids, endocannabinoids, and N-acylethanolamines, and their involvement in the mesenchymal stem cells (MSC)-related inflammatory scenario. Since MSC secretome may represent a valid therapeutic alternative, here, the complete secretome and its vesicular component from adipose- and bone marrow-derived MSC and dermal fibroblasts were characterized by targeted mass spectrometry lipidomics. The 2-arachidonoylglycerol (2AG) and the palmitoylethanolamide (PEA), previously quantified in the MSC's secretome, were further investigated by assessing hypothetical effects in an in vitro model of osteoarthritis (OA) based on human primary articular chondrocytes (CH) stimulated with tumor necrosis factor alpha (TNFα). TNFα enhances the release of the inflammatory lipid prostaglandin E2 (PGE2), and an additional increment was observed when CH were treated with both TNFα and 2AG. In contrast, PEA downmodulates the PGE2 release to the levels of unstimulated CH suggesting a protective effect. TNFα also increases the expression of cyclooxygenase 2 (COX2), in particular when combined with 2AG, while PEA partly blunts TNFα-induced COX2 expression. In addition, TNFα-stimulated CH produce significantly higher levels of the inflammatory mediator nitric oxide (NO) both in the presence and in the absence of 2AG, and PEA was able to partially reduce NO release. Our results show a first partial lipidomic profile of MSC and DF secretome and suggest a possible implication of bioactive lipids in the OA scenario and in the future use of these cell-free products as innovative therapeutics.
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Affiliation(s)
- Sara Casati
- Dipartimento di Scienze Biomediche, Chirurgiche ed Odontoiatriche, Università degli Studi di Milano, Milan, Italy.,PhD Program in Experimental Medicine, Università degli Studi di Milano, Milan, Italy
| | - Chiara Giannasi
- Dipartimento di Scienze Biomediche, Chirurgiche ed Odontoiatriche, Università degli Studi di Milano, Milan, Italy.,Laboratorio di Applicazioni Biotecnologiche, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Stefania Niada
- Laboratorio di Applicazioni Biotecnologiche, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Elena Della Morte
- Laboratorio di Applicazioni Biotecnologiche, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Marica Orioli
- Dipartimento di Scienze Biomediche, Chirurgiche ed Odontoiatriche, Università degli Studi di Milano, Milan, Italy
| | - Anna T Brini
- Dipartimento di Scienze Biomediche, Chirurgiche ed Odontoiatriche, Università degli Studi di Milano, Milan, Italy.,Laboratorio di Applicazioni Biotecnologiche, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
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15
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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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16
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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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17
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Rocha B, Illiano A, Calamia V, Pinto G, Amoresano A, Ruiz-Romero C, Blanco FJ. Targeted phospholipidomic analysis of synovial fluid as a tool for osteoarthritis deep phenotyping. OSTEOARTHRITIS AND CARTILAGE OPEN 2021; 3:100219. [DOI: 10.1016/j.ocarto.2021.100219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 08/14/2021] [Accepted: 10/04/2021] [Indexed: 10/20/2022] Open
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18
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Abshirini M, Cabrera D, Fraser K, Siriarchavatana P, Wolber FM, Miller MR, Tian HS, Kruger MC. Mass Spectrometry-Based Metabolomic and Lipidomic Analysis of the Effect of High Fat/High Sugar Diet and Greenshell TM Mussel Feeding on Plasma of Ovariectomized Rats. Metabolites 2021; 11:metabo11110754. [PMID: 34822412 PMCID: PMC8622240 DOI: 10.3390/metabo11110754] [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: 08/01/2021] [Revised: 10/24/2021] [Accepted: 10/27/2021] [Indexed: 12/05/2022] Open
Abstract
This study aimed to examine the changes in lipid and metabolite profiles of ovariectomized (OVX) rats with diet-induced metabolic syndrome-associated osteoarthritis (MetOA) after supplementation with greenshell mussel (GSM) using an untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomics approach. Ninety-six rats were fed with one of four diets: control, control supplemented with GSM + GSM, high fat/high sugar (HFHS), or high fat/high sugar enriched with GSM (HFHS + GSM). After 8 weeks on experimental diets, half of the rats in each group underwent OVX and the other half were sham operated. After being fed for an additional 28 weeks, blood samples were collected for the metabolomics analysis. Lipid and polar metabolites were extracted from plasma and analysed by LC-MS. We identified 29 lipid species from four lipid subclasses (phosphatidylcholine, lysophosphatidylcholine, diacylglycerol, and triacylglycerol) and a set of eight metabolites involved in amino acid metabolism (serine, threonine, lysine, valine, histidine, pipecolic acid, 3-methylcytidine, and cholic acid) as potential biomarkers for the effect of HFHS diet and GSM supplementation. GSM incorporation more specifically in the control diet generated significant alterations in the levels of several lipids and metabolites. Further studies are required to validate these findings that identify potential biomarkers to follow OA progression and to monitor the impact of GSM supplementation.
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Affiliation(s)
- Maryam Abshirini
- School of Health Sciences, College of Health, Massey University, Palmerston North 4442, New Zealand;
| | - Diana Cabrera
- Food Chemistry and Structure, AgResearch Grasslands, Palmerston North 4442, New Zealand; (D.C.); (K.F.)
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand
| | - Karl Fraser
- Food Chemistry and Structure, AgResearch Grasslands, Palmerston North 4442, New Zealand; (D.C.); (K.F.)
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand
- Riddet Institute, Massey University, Palmerston North 4442, New Zealand
| | - Parkpoom Siriarchavatana
- School of Food and Advanced Technology, Massey University, Palmerston North 4442, New Zealand; (P.S.); (F.M.W.)
| | - Frances M. Wolber
- School of Food and Advanced Technology, Massey University, Palmerston North 4442, New Zealand; (P.S.); (F.M.W.)
- Centre for Metabolic Health Research, Massey University, Palmerston North 4442, New Zealand
| | | | | | - Marlena C. Kruger
- School of Health Sciences, College of Health, Massey University, Palmerston North 4442, New Zealand;
- Correspondence:
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19
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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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20
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Wang C, Xu B, Wang P, Yu W, Zeng X, Xiong N, Yin P, Liu Q, Lin H. Association of dyslipidemia with chronic non-malignant pain in elderly patients with femoral neck fractures treated by primary total hip arthroplasty: a retrospective study. J Int Med Res 2021; 49:3000605211045224. [PMID: 34590917 PMCID: PMC8489765 DOI: 10.1177/03000605211045224] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE The association of chronic non-malignant pain (CNP) with dyslipidemia is unclear. This retrospective study was performed to evaluate the association between CNP and dyslipidemia in elderly patients with femoral neck fractures (FNFs) treated by primary unilateral total hip arthroplasty (THA). METHODS We retrospectively identified 521 consecutive patients with FNFs (AO/OTA type 31B) who underwent primary unilateral THA from 2009 to 2021. The study population was divided into patients with and without CNP. Serum lipids were measured for each patient. The association between CNP and dyslipidemia was assessed using a multivariate binary logistic regression model. RESULTS In total, 436 patients (220 with CNP, 216 without CNP) were eligible for analysis. In the quantile regression, the adverse effect of CNP was significantly attenuated by resilience in patients with a high high-density lipoprotein (HDL) concentration and low low-density lipoprotein (LDL) concentration. The multivariate binary logistic regression model showed that the HDL and LDL concentrations were the only variables significantly associated with the development of CNP. CONCLUSION Both a low HDL and high LDL concentration may result in the occurrence of CNP in elderly patients with FNFs treated by primary unilateral THA.
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Affiliation(s)
- Chen Wang
- Department of Anaesthesiology, Wuhan Fourth Hospital; Pu'ai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Qiaokou District, Wuhan, China
| | - Bo Xu
- Department of Thoracic Surgery, The First Affiliated Hospital, Sun Yat-sen University, Yuexiu District, Guangzhou, China
| | - Pengfei Wang
- Department of Emergency Medicine, The Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Haizhu District, Guangzhou, China
| | - Weiguang Yu
- Department of Orthopaedics, The First Affiliated Hospital, Sun Yat-sen University, Yuexiu District, Guangzhou, China
| | - Xianshang Zeng
- Department of Orthopaedics, The First Affiliated Hospital, Sun Yat-sen University, Yuexiu District, Guangzhou, China
| | - Nana Xiong
- Department of Orthopaedics, The First Affiliated Hospital, Sun Yat-sen University, Yuexiu District, Guangzhou, China
| | - Pingping Yin
- Department of Anaesthesiology, Wuhan Fourth Hospital; Pu'ai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Qiaokou District, Wuhan, China
| | - Qilong Liu
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Yuexiu District, Guangzhou, China
| | - Huanyi Lin
- Department of Urinary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Yuexiu District, Guangzhou, China
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21
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Zhang S, Rong G, Xu Y, Jing J. Elevated Nesfatin-1 Level in Synovium and Synovial Fluid is Associated with Pro-Inflammatory Cytokines in Patients with Rheumatoid Arthritis. Int J Gen Med 2021; 14:5269-5278. [PMID: 34522126 PMCID: PMC8434879 DOI: 10.2147/ijgm.s330099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 08/24/2021] [Indexed: 12/11/2022] Open
Abstract
Background Adipocytokines have been proven to be involved in the progression of autoimmune diseases, including rheumatoid arthritis (RA). Nesfatin-1, a newly discovered adipokine, has recently been reported to possess potent anti-inflammatory, antiapoptotic, and antioxidative properties. However, its role in RA has not yet been reported. Therefore, this study aimed to determine nesfatin-1 levels in the synovium and synovial fluid (SF) of patients with RA and examine their correlation with clinical manifestations and proinflammatory cytokine levels. Methods Synovium and SF samples were collected from patients with RA and non-RA patients during joint surgery. Immunohistochemistry was used to measure nesfatin-1 protein expression in the synovium. Enzyme-linked immunosorbent assay was used to measure nesfatin-1, interleukin-1β (IL-1β), and tumor necrosis factor-α (TNF-α) levels in the synovium and SF. Pearson correlation analysis was used to evaluate the correlations between nesfatin-1 levels, RA clinical features, and proinflammatory cytokines. The diagnostic value of synovium nesfatin-1 for RA was assessed using receiver operating characteristic (ROC) curve analysis. Results The results showed that nesfatin-1, IL-1β, and TNF-α levels in the synovium were significantly higher in patients with RA than in controls, with age and body mass index as covariates. Moreover, the results of Pearson correlation analysis showed that nesfatin-1 levels were positively correlated with IL-1β and TNF-α levels in the synovium of patients with RA. Furthermore, there was a positive relationship between synovium nesfatin-1 levels and rheumatoid factor in patients with RA. Additionally, the results of the ROC curve analysis revealed an area under the curve of 0.733 with 77.5% sensitivity and 60.0% specificity for synovium nesfatin-1 in discriminating patients with RA from controls. Conclusion These findings suggest that increased nesfatin-1 levels in the synovium may be associated with proinflammatory cytokines and RA severity.
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Affiliation(s)
- Shuo Zhang
- Department of Orthopedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Genxiang Rong
- Department of Orthopedics, The First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Yayun Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, People's Republic of China
| | - Juehua Jing
- Department of Orthopedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
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22
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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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23
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Fan R, Liu K, Zhou Z. Abnormal Lipid Profile in Fast-Growing Broilers With Spontaneous Femoral Head Necrosis. Front Physiol 2021; 12:685968. [PMID: 34194339 PMCID: PMC8236708 DOI: 10.3389/fphys.2021.685968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 04/26/2021] [Indexed: 11/13/2022] Open
Abstract
This study investigated lipid metabolism in broilers with spontaneous femoral head necrosis (FHN) by determining the levels of markers of the blood biochemistry and bone metabolism. The birds were divided into a normal group and FHN group according to the femoral head scores of 3-, 4-, and 5-week-old chickens with FHN, and a comparative study was conducted. The study showed that spontaneous FHN broilers had a lipid metabolism disorder, hyperlipidemia, and an accumulation of lipid droplets in the femur. In addition, there were significant changes in the bone parameters and blood bone biochemistry markers, and the expression of genes related to lipid metabolism in the femoral head was also significantly increased. Therefore, FHN may result from dyslipidemia, which affects the bone growth and development of broilers.
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Affiliation(s)
| | | | - Zhenlei Zhou
- Department of Veterinary Clinical Science, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China
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24
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Eveque-Mourroux M, Emans PJ, Boonen A, Claes BSR, Bouwman FG, Heeren RMA, Cillero-Pastor B. Heterogeneity of Lipid and Protein Cartilage Profiles Associated with Human Osteoarthritis with or without Type 2 Diabetes Mellitus. J Proteome Res 2021; 20:2973-2982. [PMID: 33866785 PMCID: PMC8155553 DOI: 10.1021/acs.jproteome.1c00186] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Indexed: 12/17/2022]
Abstract
Osteoarthritis (OA) is a multifactorial pathology and comprises a wide range of distinct phenotypes. In this context, the characterization of the different molecular profiles associated with each phenotype can improve the classification of OA. In particular, OA can coexist with type 2 diabetes mellitus (T2DM). This study investigates lipidomic and proteomic differences between human OA/T2DM- and OA/T2DM+ cartilage through a multimodal mass spectrometry approach. Human cartilage samples were obtained after total knee replacement from OA/T2DM- and OA/T2DM+ patients. Label-free proteomics was employed to study differences in protein abundance and matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) for spatially resolved-lipid analysis. Label-free proteomic analysis showed differences between OA/T2DM- and OA/T2DM+ phenotypes in several metabolic pathways such as lipid regulation. Interestingly, phospholipase A2 protein was found increased within the OA/T2DM+ cohort. In addition, MALDI-MSI experiments revealed that phosphatidylcholine and sphingomyelin species were characteristic of the OA/T2DM- group, whereas lysolipids were more characteristic of the OA/T2DM+ phenotype. The data also pointed out differences in phospholipid content between superficial and deep layers of the cartilage. Our study shows distinctively different lipid and protein profiles between OA/T2DM- and OA/T2DM+ human cartilage, demonstrating the importance of subclassification of the OA disease for better personalized treatments.
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Affiliation(s)
- Maxime
R. Eveque-Mourroux
- Division
of Imaging Mass Spectrometry, Maastricht
MultiModal Molecular Imaging (M4i) Institute, 6229 ER Maastricht, Netherlands
| | - Pieter J. Emans
- Department
of Orthopedic Surgery, Maastricht University
Medical Center, 6229 HX Maastricht, Netherlands
| | - Annelies Boonen
- Department
of Internal Medicine, Division of Rheumatology, and Care and Public
Health Research Institute (CAPHRI), Maastricht
University Medical Center, 6229 HX Maastricht, Netherlands
| | - Britt S. R. Claes
- Division
of Imaging Mass Spectrometry, Maastricht
MultiModal Molecular Imaging (M4i) Institute, 6229 ER Maastricht, Netherlands
| | - Freek G. Bouwman
- Department
of Human Biology, NUTRIM School of Nutrition and Translational Research
in Metabolism, Maastricht University Medical
Center, 6229 HX Maastricht, Netherlands
| | - Ron M. A. Heeren
- Division
of Imaging Mass Spectrometry, Maastricht
MultiModal Molecular Imaging (M4i) Institute, 6229 ER Maastricht, Netherlands
| | - Berta Cillero-Pastor
- Division
of Imaging Mass Spectrometry, Maastricht
MultiModal Molecular Imaging (M4i) Institute, 6229 ER Maastricht, Netherlands
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25
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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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Integrated Metabolomics and Transcriptomics Using an Optimised Dual Extraction Process to Study Human Brain Cancer Cells and Tissues. Metabolites 2021; 11:metabo11040240. [PMID: 33919944 PMCID: PMC8070957 DOI: 10.3390/metabo11040240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/12/2021] [Accepted: 04/12/2021] [Indexed: 11/18/2022] Open
Abstract
The integration of untargeted metabolomics and transcriptomics from the same population of cells or tissue enhances the confidence in the identified metabolic pathways and understanding of the enzyme–metabolite relationship. Here, we optimised a simultaneous extraction method of metabolites/lipids and RNA from ependymoma cells (BXD-1425). Relative to established RNA (mirVana kit) or metabolite (sequential solvent addition and shaking) single extraction methods, four dual-extraction techniques were evaluated and compared (methanol:water:chloroform ratios): cryomill/mirVana (1:1:2); cryomill-wash/Econospin (5:1:2); rotation/phenol-chloroform (9:10:1); Sequential/mirVana (1:1:3). All methods extracted the same metabolites, yet rotation/phenol-chloroform did not extract lipids. Cryomill/mirVana and sequential/mirVana recovered the highest amounts of RNA, at 70 and 68% of that recovered with mirVana kit alone. sequential/mirVana, involving RNA extraction from the interphase of our established sequential solvent addition and shaking metabolomics-lipidomics extraction method, was the most efficient approach overall. Sequential/mirVana was applied to study a) the biological effect caused by acute serum starvation in BXD-1425 cells and b) primary ependymoma tumour tissue. We found (a) 64 differentially abundant metabolites and 28 differentially expressed metabolic genes, discovering four gene-metabolite interactions, and (b) all metabolites and 62% lipids were above the limit of detection, and RNA yield was sufficient for transcriptomics, in just 10 mg of tissue.
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Xu B, Su H, Wang R, Wang Y, Zhang W. Metabolic networks of plasma and joint fluid base on differential correlation. PLoS One 2021; 16:e0247191. [PMID: 33617578 PMCID: PMC7899361 DOI: 10.1371/journal.pone.0247191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 02/02/2021] [Indexed: 11/18/2022] Open
Abstract
Whether osteoarthritis (OA) is a systemic metabolic disorder remains controversial. The aim of this study was to investigate the metabolic characteristics between plasma and knee joint fluid (JF) of patients with advanced OA using a differential correlation metabolic (DCM) networks approach. Plasma and JF were collected during the joint replacement surgery of patients with knee OA. The biological samples were pretreated with standard procedures for metabolite analysis. The metabolic profiling was conducted by means of liquid mass spectrometry coupled with a AbsoluteIDQ kit. A DCM network approach was adopted for analyzing the metabolomics data between the plasma and JF. The variation in the correlation of the pairwise metabolites was quantified across the plasma and JF samples, and networks analysis was used to characterize the difference in the correlations of the metabolites from the two sample types. Core metabolites that played an important role in the DCM networks were identified via topological analysis. One hundred advanced OA patients (50 men and 50 women) were included in this study, with an average age of 65.0 ± 7.6 years (65.6 ± 7.1 years for females and 64.4 ± 8.1 years for males) and a mean BMI of 32.6 ± 5.8 kg/m2 (33.4 ± 6.3 kg/m2 for females and 31.7 ± 5.3 kg/m2 for males). Age and BMI matched between the male and female groups. One hundred and forty-five nodes, 567 edges, and 131 nodes, 407 edges were found in the DCM networks (p < 0.05) of the female and male groups, respectively. Six metabolites in the female group and 5 metabolites in the male group were identified as key nodes in the network. There was a significant difference in the differential correlation metabolism networks of plasma and JF that may be related to local joint metabolism. Focusing on these key metabolites may help uncover the pathogenesis of knee OA. In addition, the differential metabolic correlation between plasma and JF mostly overlapped, indicating that these common correlations of pairwise metabolites may be a reflection of systemic characteristics of JF and that most significant correlation variations were just a result of "housekeeping” biological reactions.
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Affiliation(s)
- Bingyong Xu
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin, China
- Hangzhou Heze Pharmaceutical Technology CO.,LTD, Hangzhou, Zhejiang, China
| | - Hong Su
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin, China
- Department of Pharmacy and Examination, Daqing Medical College, Daqing, Heilongjiang, China
| | - Ruya Wang
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin, China
| | - Yixiao Wang
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin, China
| | - Weidong Zhang
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin, China
- * E-mail:
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28
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Zhang Q, Yang X, Wang Q, Zhang Y, Gao P, Li Z, Liu R, Xu H, Bi K, Li Q. "Modeling-Prediction" Strategy for Deep Profiling of Lysophosphatidic Acids by Liquid Chromatography-Mass Spectrometry: Exploration Biomarkers of Breast Cancer. J Chromatogr A 2020; 1634:461634. [PMID: 33176220 DOI: 10.1016/j.chroma.2020.461634] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 09/18/2020] [Accepted: 10/19/2020] [Indexed: 01/13/2023]
Abstract
Lysophosphatidic acids (LPAs) are important bioactive phospholipids consisting of various species involved in a wide array of physiological and pathological processes. However, LPAs were rarely identified in untargeted lipidomics studies because of the incompatibility with analytical methods. Moreover, in targeted studies, the coverages of LPAs remained unsatisfactorily low due to the limitation of reference standards. Herein, a "modeling-prediction" workflow for deep profiling of LPAs by liquid chromatography-mass spectrometry was developed. Multiple linear regression models of qualitative and quantitative parameters were established according to features of fatty acyl tails of the commercial standards to predict the corresponding parameters for unknown LPAs. Then 72 multiple reaction monitoring (MRM) transitions were monitored simultaneously and species of LPA 14:0, LPA 16:1, LPA 18:3, LPA 20:3 and LPA 20:5 were firstly characterized and quantified in plasma. Finally, the workflow was applied to explore the changes of LPAs in plasma of breast cancer patients compared with healthy volunteers. Multi-LPAs indexes with strong diagnostic ability for breast cancer were identified successfully using Student's t- test, orthogona partial least-squares discrimination analysis (OPLS-DA) and logistic regression- receiver operating characteristic (ROC) curve analysis. The proposed workflow with high sensitivity, high accuracy, high coverage and reliable identification would be a powerful complement to untargeted lipidomics and shed a light on the analysis of other lipids.
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Affiliation(s)
- Qian Zhang
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Xiao Yang
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Qian Wang
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Yiwen Zhang
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Peng Gao
- Metabolomics Core Facility of RHLCCC, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, United States
| | - Zuojing Li
- School of Medical Devices, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Ran Liu
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Huarong Xu
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Kaishun Bi
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Qing Li
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China.
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Bernotiene E, Bagdonas E, Kirdaite G, Bernotas P, Kalvaityte U, Uzieliene I, Thudium CS, Hannula H, Lorite GS, Dvir-Ginzberg M, Guermazi A, Mobasheri A. Emerging Technologies and Platforms for the Immunodetection of Multiple Biochemical Markers in Osteoarthritis Research and Therapy. Front Med (Lausanne) 2020; 7:572977. [PMID: 33195320 PMCID: PMC7609858 DOI: 10.3389/fmed.2020.572977] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 08/31/2020] [Indexed: 12/12/2022] Open
Abstract
Biomarkers, especially biochemical markers, are important in osteoarthritis (OA) research, clinical trials, and drug development and have potential for more extensive use in therapeutic monitoring. However, they have not yet had any significant impact on disease diagnosis and follow-up in a clinical context. Nevertheless, the development of immunoassays for the detection and measurement of biochemical markers in OA research and therapy is an active area of research and development. The evaluation of biochemical markers representing low-grade inflammation or extracellular matrix turnover may permit OA prognosis and expedite the development of personalized treatment tailored to fit particular disease severities. However, currently detection methods have failed to overcome specific hurdles such as low biochemical marker concentrations, patient-specific variation, and limited utility of single biochemical markers for definitive characterization of disease status. These challenges require new and innovative approaches for development of detection and quantification systems that incorporate clinically relevant biochemical marker panels. Emerging platforms and technologies that are already on the way to implementation in routine diagnostics and monitoring of other diseases could potentially serve as good technological and strategic examples for better assessment of OA. State-of-the-art technologies such as advanced multiplex assays, enhanced immunoassays, and biosensors ensure simultaneous screening of a range of biochemical marker targets, the expansion of detection limits, low costs, and rapid analysis. This paper explores the implementation of such technologies in OA research and therapy. Application of novel immunoassay-based technologies may shed light on poorly understood mechanisms in disease pathogenesis and lead to the development of clinically relevant biochemical marker panels. More sensitive and specific biochemical marker immunodetection will complement imaging biomarkers and ensure evidence-based comparisons of intervention efficacy. We discuss the challenges hindering the development, testing, and implementation of new OA biochemical marker assays utilizing emerging multiplexing technologies and biosensors.
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Affiliation(s)
- Eiva Bernotiene
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | - Edvardas Bagdonas
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | - Gailute Kirdaite
- Department of Experimental, Preventive and Clinical Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | - Paulius Bernotas
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | - Ursule Kalvaityte
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | - Ilona Uzieliene
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | | | - Heidi Hannula
- Microelectronics Research Unit, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
| | - Gabriela S. Lorite
- Microelectronics Research Unit, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
| | - Mona Dvir-Ginzberg
- Laboratory of Cartilage Biology, Institute of Dental Sciences, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ali Guermazi
- Department of Radiology, Veterans Affairs Boston Healthcare System, Boston University School of Medicine, Boston, MA, United States
| | - Ali Mobasheri
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
- Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
- Departments of Orthopedics, Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, Netherlands
- Centre for Sport, Exercise and Osteoarthritis Versus Arthritis, Queen's Medical Centre, Nottingham, United Kingdom
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Metabolomic Signature of Amino Acids, Biogenic Amines and Lipids in Blood Serum of Patients with Severe Osteoarthritis. Metabolites 2020; 10:metabo10080323. [PMID: 32784380 PMCID: PMC7464318 DOI: 10.3390/metabo10080323] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 08/01/2020] [Accepted: 08/06/2020] [Indexed: 02/07/2023] Open
Abstract
Metabolomic analysis is an emerging new diagnostic tool, which holds great potential for improving the understanding of osteoarthritis (OA)-caused metabolomic shifts associated with systemic inflammation and oxidative stress. The main aim of the study was to map the changes of amino acid, biogenic amine and complex lipid profiles in severe OA, where the shifts should be more eminent compared with early stages. The fasting serum of 70 knee and hip OA patients and 82 controls was assessed via a targeted approach using the AbsoluteIDQ™ p180 kit. Changes in the serum levels of amino acids, sphingomyelins, phoshatidylcholines and lysophosphatidylcholines of the OA patients compared with controls suggest systemic inflammation in severe OA patients. Furthermore, the decreased spermine to spermidine ratio indicates excessive oxidative stress to be associated with OA. Serum arginine level was positively correlated with radiographic severity of OA, potentially linking inflammation through NO synthesis to OA. Further, the level of glycine was negatively associated with the severity of OA, which might refer to glycine deficiency in severe OA. The current study demonstrates significant changes in the amino acid, biogenic amine and low-molecular weight lipid profiles of severe OA and provides new insights into the complex interplay between chronic inflammation, oxidative stress and OA.
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Olson KC, Moosic KB, Jones MK, Larkin PMK, Olson TL, Toro MF, Fox TE, Feith DJ, Loughran TP. Large granular lymphocyte leukemia serum and corresponding hematological parameters reveal unique cytokine and sphingolipid biomarkers and associations with STAT3 mutations. Cancer Med 2020; 9:6533-6549. [PMID: 32710512 PMCID: PMC7520360 DOI: 10.1002/cam4.3246] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 05/22/2020] [Accepted: 05/31/2020] [Indexed: 12/26/2022] Open
Abstract
Large granular lymphocyte (LGL) leukemia is a rare hematological disorder with expansion of the T-cell or natural killer (NK) cell lineage. Signal transducer and activator of transcription 3 (STAT3) exhibits somatic activating mutations in 30%-40% of LGL leukemia cases. Transcriptional targets of STAT3 include inflammatory cytokines, thus previous studies have measured cytokine levels of LGL leukemia patients compared to normal donors. Sphingolipid metabolism is a growing area of cancer research, with efforts focused on drug discovery. To date, no studies have examined serum sphingolipids in LGL leukemia patients, and only one study compared a subset of cytokines between the T-LGL and NK-LGL subtypes. Therefore, here, we included both LGL leukemia subtypes with the goals of (a) measuring serum sphingolipids for the first time, (b) measuring cytokines to find distinctions between the subtypes, and (c) establishing relationships with STAT3 mutations and clinical data. The serum analyses identified cytokines (EGF, IP-10, G-CSF) and sphingolipids (SMC22, SMC24, SMC20, LysoSM) significantly different in the LGL leukemia group compared to normal donors. In a mixed STAT3 mutation group, D661Y samples exhibited the highest mean corpuscular volume (MCV) values. We explored this further by expanding the cohort to include larger groups of single STAT3 mutations. Male D661Y STAT3 samples had lower Hgb and higher MCV compared to wild type (WT) or Y640F counterparts. This is the first report examining large groups of individual STAT3 mutations. Overall, our results revealed novel serum biomarkers and evidence that D661Y mutation may show different clinical manifestation compared to WT or Y640F STAT3.
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Affiliation(s)
- Kristine C. Olson
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - Katharine B. Moosic
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA,Department of PathologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - Marieke K. Jones
- Health Sciences LibraryUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - Paige M. K. Larkin
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA,Department of PathologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA,Present address:
Department of Pathology and Laboratory MedicineUniversity of California Los AngelesLos AngelesCAUSA
| | - Thomas L. Olson
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - Mariella F. Toro
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - Todd E. Fox
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of PharmacologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - David J. Feith
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - Thomas P. Loughran
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
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