ISSN: 2640-799X
Rheumatica Acta: Open Access
Research Article       Open Access      Peer-Reviewed

Can NMR (Nuclear Magnetic Resonance) spectroscopy serve as a diagnostic tool for Rheumatoid Arthritis?

Niraj Kumar Srivastava*

School of Sciences (SoS), Indira Gandhi National Open University (IGNOU), New Delhi-110068, India
*Corresponding author: Dr. Niraj Kumar Srivastava, Biochemistry Consultant, School of Sciences (SoS), Indira Gandhi National Open University (IGNOU), New Delhi-110068, India, Tel: +91 9650868861; E-mail: nirajsuprabhat@gmail.com
Received: 08 April, 2019 | Accepted: 30 May, 2019 | Published: 31 May, 2019

Cite this as

Niraj Kumar S (2019) Can NMR (Nuclear Magnetic Resonance) spectroscopy serve as a diagnostic tool for Rheumatoid Arthritis?. Rheumatica Acta: Open Access 3(1): 001-004. DOI: 10.17352/raoa.000009

Rheumatoid arthritis (RA) is a general, chronic, systemic and autoimmune inflammatory disease. This disease represents the inflammatory response of the synovium resulting to hyperplasia of synovial cells along with associated destruction of cartilage, bone and ligaments, eventually leading to deformity of the joints. There is a considerable alteration observed in the metabolism. Chronic inflammation is responsible for altering the metabolism and also the metabolic profile of an individual patient with early inflammatory arthritis expects the following route of disease. These metabolic changes would identify biomarkers, which may be useful for the diagnostic purposes. NMR (nuclear magnetic resonance) spectroscopy based metabolomics studies of serum, urine and synovial fluid of RA were performed. These studies reflected the possibility of the development of metabolomics based diagnostic methods for RA. So, our question “Can NMR (Nuclear Magnetic Resonance) spectroscopy serve as a diagnostic tool for rheumatoid arthritis?” will definitely get an answer with the development of NMR based diagnostic method for RA.

Abbreviations

NMR: Nuclear Magnetic Resonance; RA: Rheumatoid Arthritis; CIA: Collagen-Induced Arthritis; GPC: Glycerophospho-Choline.

Introduction

Rheumatoid arthritis (RA) is an extremely widespread chronic disease, at present affecting around 1% of the world’s population. Patients suffering with RA characteristically have damage of joint cartilage and bone accompanied by joint stiffness, hyperplasia, microvascular injury, swelling and pain [1-2]. The RA pathogenesis is started with the secretion of cytokines such as interleukins (e.g., IL-1 and IL-6), tumor necrosis factor (TNF) and interferon gamma (IFN-γ). There is an observation of enhancement in several pro-inflammatory activities of the nuclear factor (NF)-kβ pathway, which hampers apoptosis in immune cells, also responsible for RA progression [1-3]. Activation or dysregulation of several cellular immune responses are carried out by increased cytokine levels in RA [4-5]. With the degradation of skeletal muscle proteins and energy expenditure, almost two-thirds of patients with RA develop cachexia and sarcopenia [6-7]. Such disturbance in the catabolic processes created the body into a state of negative energy balance, which further responsible for skeletal muscle atrophy, loss of muscle strength and decreased physical activity [8].

Systemic inflammation is responsible for alteration in metabolism. Several researchers have examined the resulting changes in low molecular weight metabolites in patients and animal models of inflammation [9-13]. Nuclear magnetic resonance (NMR) based metabolomics analysis has been used to recognize variations in a broad range of different metabolites concurrently and from such studies numerous key metabolites have been recognized, providing insights into the mechanisms of disease [14-15]. In RA, noteworthy influences on metabolism is also recognized and investigated. In the light of several studies, we would like to search the answer of our question “Can NMR (Nuclear Magnetic Resonance) spectroscopy serve as a diagnostic tool for rheumatoid arthritis?” Here, metabolomics, NMR and NMR spectroscopy based metabolomics studies of RA must be described and discuss to search the answer of the above described question.

Metabolomics

In 1998, the term “metabolome” was first applied. The term metabolome is originated from the combination of the words “metabolite” and “chromosome”. The reason behind the use of this term was to reveal that metabolites are indirectly encoded by genes. The term “metabolome” is specified to the entire set of little molecule found within a biological sample. The study of the metabolome is known as metabolomics [16-17].

NMR (Nuclear Magnetic Resonance) spectroscopy

NMR spectroscopy is a phenomenon which occurs when the nuclei of certain atoms are immersed in a static magnetic field and exposed to a second oscillating magnetic field. Some nuclei experience this phenomenon, and others do not, depending upon whether they possess a property called definite magnetic moment [18].

NMR spectroscopy is one of the most important and widespread analytical methods in academic and industrial research. It facilitates an exclusive and, in principle, quantitative determination of the relative amount of molecular groups, thus offering a tool to quantify entire substances even in mixtures [19].

NMR spectroscopy is a potential instrument for the analysis of metabolites in biofluids, such as plasma, serum, CSF (cerebrospinal fluid), pus, saliva, cervicovaginal secretions and urine, and tissue extract [20]. This is a non-destructive and rapid technique which requires minimum sample processing. This property makes it the most efficient method for qualitative as well as quantitative analysis of metabolites with outstanding repeatability and reproducibility [20]. NMR spectroscopy is successfully applied to metabolic profiling in various diseases such as inflammatory bowel disease [21], ocular inflammatory disease [13], neurological diseases [12], coronary heart disease [14] and RA [22].

NMR spectroscopy based metabolomics studies of RA (Rheumatoid arthritis) and its relevance

Genetic and environmental factors are responsible for causation of RA. NMR spectroscopy based metabolomics may be one of the useful methods for exploring the causation of RA because the disease is responsible for the alteration in the levels of certain metabolites [22-23].

Metabolic profiling of synovial fluid and serum was performed in patients with RA [22-26]. Similarly, metabolic profiling was also performed on serum/plasma and urine samples of CIA (collagen induced arthritis) rats. The procedure of the development of CIA rat model is represented in figure-1 [27-30].

In 1993, NMR spectroscopy based profiles of synovial fluid and corresponding serum samples were studied [22]. The profiles of synovial fluid were noticeably dissimilar from their corresponding serum samples. High levels of lactate and low levels of glucose were found in the synovial fluid as compared to the serum. These alterations are constant with the hypoxic status of the rheumatoid joint [22]. This study is extremely helpful for distinguishing between patients with RA and osteoarthritis (OA) [31]. The occurrence of these metabolites recommends that nucleic acid metabolism may be extremely affected in RA and the cause of this incident may be an association with oxidative stress [32]. The metabolic profiles of plasma of patients with RA were exclusively different from healthy controls [33]. The cholesterol, lactate, acetylated glycoprotein and lipids were identified, which discriminated between the patients with RA and healthy controls [33]. The lactate level is an indicator for oxidative damage and thus indirectly reflected active inflammation. This outcome put forward the idea that the inflammatory processes perform a considerable change in the metabolism that can be measured in the peripheral blood [33]. Metabolic profiling of joint tissue of CIA rats was analyzed by NMR spectroscopy [30]. Identification of biomarker from metabolic pattern associated with RA was observed in serum from mice with RA [32]. Uracil, xanthine and glycine could be used to make a distinction arthritic from control animals [32].

NMR spectroscopy based metabolomics analysis of lipid components in plasma and synovial fluid of arthritic patients as well as animal models of arthritis was performed for the assessment of lipid metabolism [22,32-36]. Plasma and joint tissue of CIA rats represented the alteration in the quantity of lipid components. Quantitative alteration in the phospholipids, triglycerides and total cholesterol (free cholesterol and cholesterol esters) was observed in the plasma as well as joint tissue of CIA rat. The level of phospholipids, triglycerides and total cholesterol (free cholesterol and cholesterol esters) was decreased in the plasma of CIA rat (Figure-2). But, the level of phospholipids and triglycerides was increased in the joint tissue of CIA rat. There was a slight reduction observed in the quantity of triglycerides in the joint tissue of CIA rat (Figure-3) [30].

Lower levels of chylomicron and very-low-density-lipoprotein associated triglycerides were found in synovial fluid as compared to corresponding serum samples. The synovial fluid had high levels of ketone bodies as compared to corresponding serum samples. These results suggest that the metabolic pattern was altered in the RA [22-23]. Lipid profile was investigated in synovial fluid from patients with RA [37] and identified approximately 70 different lipid components. In all these lipid components, few were associated with anti-inflammatory and others were with pro-resolving properties [37]. Inflammatory disease activity in CIA rats with synovitis carried out a noteworthy change in the lipid metabolism. Metabolomics based analysis of the lipid component delineating a possible pathway of altered lipid metabolism in CIA rat model, which contributed to an understanding of the pathophysiology of rheumatoid arthritis (RA) [38].

In this way, the metabolomics may be helpful as a measure of the degree of disease and potentially separating low disease activity states from patients in proper diminution. Metabolomics based study was performed with traditional Chinese medicine for categorization of different types of patients with RA [35]. The metabolic profile of urine and plasma of 39 patients with RA was investigated and demonstrated significant biochemical differences between different subgroups of patients with RA. The outcome of this study showed the different mechanisms of disease progression and treatments could be adapted accordingly [35]. The metabolic profiling of serum of 38 patients with active RA showed considerable differences for certain metabolites who demonstrated a clinical response to methotrexate monotherapy compared to those who did not respond [36].

An enhancement in the production of TNF is responsible for increased energy requirement in patients with RA [39]. Xanthine showed the discrimination of RA from controls in mice [32]. Discrimination between septic and non-septic RA was carried out by the analysis of lactate level in the synovial fluid [24]. There is a clear distinction observed for the serum metabolic profile in patients with RA as compared to healthy controls. Lactate, histidine and lipid levels are also play a role for the discrimination of patients with RA as compared to healthy control [25-26]. The metabolic profile of joint tissue showed the GPC (Glycerophospho-choline), carnitine, acetate, and creatinine were important discriminators of CIA rats as compared to control rats [40].

Conclusion

From the above descriptions, there are several strong evidences which noticeably demonstrated the possibility for the development of the NMR spectroscopy based (metabolomics) diagnostic approach for RA. So, the answer of the question “Can NMR (Nuclear Magnetic Resonance) spectroscopy serve as a diagnostic tool for rheumatoid arthritis?” is yes. Here, a strong need to perform the systematic study of the development of this method of diagnosis for RA.

Authors are thankful to central library, JNU (Jawaharlal Nehru University) and IGNOU (Indira Gandhi National Open University), New Delhi for providing the literatures and research articles.

  1. Feldmann M, Brennan FM, Maini RN (1996) Rheumatoid arthritis. Cell 85: 307-310. Link: https://tinyurl.com/y5nouuk5
  2. Oliver JE, Silman AJ (2009) Why are women predisposed to autoimmune rheumatic diseases? Arthritis Res Ther 11: 252. Link: https://tinyurl.com/yxz5agh7
  3. Wang H, Vishnubhakat JM, Bloom O, Zhang M, Ombrellino M, et al. (1999) Proinflammatory cytokines (tumor necrosis factor and interleukin 1) stimulate release of high mobility group protein-1 by pituicytes. Surgery 126: 389-392. Link: https://tinyurl.com/y3ly5cn8
  4. Firestein GS, McInnes IB (2017) Immunopathogenesis of Rheumatoid Arthritis. Immunity 46: 183-196. Link: https://tinyurl.com/y5mgzxqz
  5. Arend WP, Firestein GS (2012) Pre-rheumatoid arthritis: predisposition and transition to clinical synovitis. Nat Rev Rheumatol 8: 573-586. Link: https://tinyurl.com/yxse46wl
  6. Walsmith J, Roubenoff R (2002) Cachexia in rheumatoid arthritis. Int J Cardiol 85: 89-99. Link: https://tinyurl.com/yxafnrjb
  7. Targowski T (2017) Sarcopaenia and rheumatoid arthritis. Reumatologia 55: 84-87. Link: https://tinyurl.com/y2p778j5
  8. Carbone JW, McClung JP, Pasiakos SM (2012) Skeletal muscle responses to negative energy balance: effects of dietary protein. Adv Nutr 3: 119-126. Link: https://tinyurl.com/yyjfmkhb
  9. Bezabeh T, Somorjai RL, Smith ICP (2009) MR metabolomics of fecal extracts: applications in the study of bowel diseases. Magnetic Resonance in Chemistry 47: S54-S61. Link: https://tinyurl.com/y3bvszug
  10. Lin HM, Edmunds SI, Helsby NA, Ferguson LR, Rowan DD (2009) Nontargeted urinary metabolite profiling of a mouse model of Crohn's disease. J Proteome Res 8: 2045-2057. Link: https://tinyurl.com/y3paot3b
  11. Marchesi JR, Holmes E, Khan F, Kochhar S, Scanlan P, (2007) Rapid and noninvasive metabonomic characterization of inflammatory bowel disease. J Proteome Res 6: 546-551. Link: https://tinyurl.com/y6zp6j2t
  12. Sinclair AJ, Viant MR, Ball AK, Burdon MA, Walker EA, (2010) NMR-based metabolomic analysis of cerebrospinal fluid and serum in neurological diseases--a diagnostic tool? NMR Biomed 23: 123-132. Link: https://tinyurl.com/yy4n5sxc
  13. Young SP, Nessim M, Falciani F, Trevino V, Banerjee SP, et al. (2009) Metabolomic analysis of human vitreous humor differentiates ocular inflammatory disease. Molecular Vision 15: 1210-1217. Link: https://tinyurl.com/y4ea7ztn
  14. Brindle JT, Antti H, Holmes E, Tranter G, Nicholson JK, et al. (2002) Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics. Nat Med 8: 1439-1444. Link: https://tinyurl.com/y2pjnohr
  15. Sreekumar A, Poisson LM, Rajendiran TM, Khan AP, Cao Q, et al. (2009) Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature 457: 910-904. Link: https://tinyurl.com/y4uc67ug
  16. Kouskoumvekaki I, Panagiotou G (2011) Navigating the human metabolome for biomarker identification and design of pharmaceutical molecules. J Biomed Biotechnol 2011: 525497. Link: https://tinyurl.com/y3gmymjm
  17. Adamski J, Suhre K (2013) Metabolomics platforms for genome wide association studies—linking the genome to the metabolome. Curr Opin Biotechnol 24: 39-47. Link: https://tinyurl.com/yyht2sfd
  18. Tognarelli JM, Dawood M, Shariff MI, Grover VP, Crossey MM, et al. (2015) Magnetic Resonance Spectroscopy: Principles and Techniques: Lessons for Clinicians. J Clin Exp Hepatol 5: 320-328. Link: https://tinyurl.com/y49xylbr
  19. Iwona Wawer I, Diehl B (2017) NMR Spectroscopy in Pharmaceutical Analysis. Elsevier-Science 528. Link: https://tinyurl.com/y44aafdh
  20. Gebregiworgis T, Powers R (2012) Application of NMR metabolomics to search for human disease biomarkers. Comb Chem High Throughput Screen 15: 595-610. Link: https://tinyurl.com/y5ghjuku
  21. Marchesi JR, Holmes E, Khan F, Kochhar S, Scanlan P, (2007) Rapid and noninvasive metabonomic characterization of inflammatory bowel disease. J Proteome Res 6: 546-551. Link: https://tinyurl.com/y6zp6j2t
  22. Naughton D, Whelan M, Smith EC, Williams R, Blake DR, et al. (1993) An Investigation of the Abnormal Metabolic Status of Synovial-Fluid from Patients with Rheumatoid-Arthritis by High-Field Proton Nuclear-Magnetic-Resonance Spectroscopy. Febs Lett 317: 135-138. Link: https://tinyurl.com/y4wbd49w
  23. Naughton DP, Haywood R, Blake DR, Edmonds S, Hawkes GE, et al. (1993b) A Comparative-Evaluation of the Metabolic Profiles of Normal and Inflammatory Knee-Joint Synovial-Fluids by High-Resolution Proton Nmr-Spectroscopy. Febs Lett 332: 221-225. Link: https://tinyurl.com/y4x4jvtz
  24. Gobelet C, Gerster JC (1984) Synovial fluid lactate levels in septic and non-septic arthritides. Ann Rheum Dis 43: 742-745. Link: https://tinyurl.com/y5lftpfr
  25. Young SP, Kapoor SR, Viant MR, Byrne JJ, Filer A, et al. (2013) The impact of inflammation on metabolomic profiles in patients with arthritis. Arthritis Rheum 65: 2015-2023. Link: https://tinyurl.com/y4zod2vd
  26. Sitton NG, Dixon JS, Bird HA, Wright V (1987) Serum biochemistry in rheumatoid arthritis, seronegative arthropathies, osteoarthritis, SLE and normal subjects. Br J Rheumatol 26: 131-135. Link: https://tinyurl.com/y5x9grks
  27. Ding X, Hu J, Li J, Zhang Y, Shui B, et al. (2014) Metabolomics analysis of collagen-induced arthritis in rats and interventional effects of oral tolerance. Anal Biochem 458: 49-57. Link: https://tinyurl.com/y44b4r3k
  28. Zhang SC (2010) Advances in NMR-based biofluid analysis and metabolite profiling. Analyst 135: 1490-1498. Link: https://tinyurl.com/y3y84r4q
  29. Yue R, Zhao L, Hu Y, Jiang P, Wang S, et al. (2013) Metabolomic Study of Collagen-Induced Arthritis in Rats and the Interventional Effects of Huang-Lian-Jie-Du-Tang, a Traditional Chinese Medicine. Evid Based Complement Alternat Med 4396-4390. Link: https://tinyurl.com/y2bcylsu
  30. Srivastava NK, Sharma S, Purusottam RN, Sinha N, Singh R, et al. (2014) Abnormal lipid metabolism in collagen-induced arthritis rat model: in vitro, high resolution NMR spectroscopy based analysis. Indian J Exp Biol 52: 673-682. Link: https://tinyurl.com/y2owtyuj
  31. Meshitsuka S, Yamazaki E, Inoue M, Hagino H, Teshima R, et al. (1999) Nuclear magnetic resonance studies of synovial fluids from patients with rheumatoid arthritis and osteoarthritis. Clin Chim Acta 281: 163-167. Link: https://tinyurl.com/y2pw52y6
  32. Weljie AM, Dowlatabadi R, Miller BJ, Vogel HJ, Jirik FR (2007) An inflammatory arthritis-associated metabolite biomarker pattern revealed by 1H NMR spectroscopy. J Proteome Res 6: 3456-3464. Link: https://tinyurl.com/yxm7gkqe
  33. Lauridsen MB, Bliddal H, Christensen R, Danneskiold-Samsøe B, Bennett R, (2010) 1H NMR spectroscopy-based interventional metabolic phenotyping: a cohort study of rheumatoid arthritis patients. J J Proteome Res 9: 4545-4553. Link: https://tinyurl.com/y5douhyf
  34. Fuchs B, Schiller J, Wagner U, Häntzschel H, Arnold K (2005) The phosphatidylcholine/lysophosphatidylcholine ratio in human plasma is an indicator of the severity of rheumatoid arthritis: investigations by 31P NMR and MALDI-TOF MS. Clin Biochem 38: 925-933. Link: https://tinyurl.com/yytjorqb
  35. Van Wietmarschen HA, Dai W, Van der Kooij AJ, Reijmers TH, Schroën Y, et al. (2012) Characterization of rheumatoid arthritis subtypes using symptom profiles, clinical chemistry and metabolomics measurements. Plos One 7: e44331. Link: https://tinyurl.com/y6euofrl
  36. Wang Z, Chen Z, Yang S, Wang Y, Yu L, et al. (2012) 1H NMR-based metabolomic analysis for identifying serum biomarkers to evaluate methotrexate treatment in patients with early rheumatoid arthritis. Exp Ther Med 4: 165-171. Link: https://tinyurl.com/y5zxzyla
  37. Giera M, Ioan-Facsinay A, Toes R, Gao F, Dalli J, et al. (2012) Lipid and lipid mediator profiling of human synovial fluid in rheumatoid arthritis patients by means of LC-MS/MS. Biochim Biophys Acta 1821: 1415-1424. Link: https://tinyurl.com/y4wwg4ju
  38. Srivastava NK, Sharma S, Sinha N, Mandal SK, Sharma D (2018) Abnormal lipid metabolism in a rat model of arthritis: one possible pathway. Mol Cell Biochem 448: 107-124. Link: https://tinyurl.com/y6bhm4rz
  39. Metsios GS, Stavropoulos-Kalinoglou A, Nevill AM, Douglas KM, Koutedakis Y, et al. (2008) Cigarette smoking significantly increases basal metabolic rate in patients with rheumatoid arthritis. Ann Rheum Dis 67: 70-73. Link: https://tinyurl.com/y3l6q3th
  40. Srivastava NK, Sharma S, Sharma R, Sinha N, Mandal SK, et al. (2018) Metabolic fingerprinting of joint tissue of collagen-induced arthritis (CIA) rat: In vitro, high resolution NMR (nuclear magnetic resonance) spectroscopy based analysis. EXCLI J 17: 257-272. Link: https://tinyurl.com/yynv7etw
© 2019 Niraj Kumar S. This is an open-access Case Report distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
 

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