Abstract
Pre-rheumatoid arthritis (pre-RA) is the preclinical period of the disease that precedes the onset of clinically apparent RA. It includes the interaction between genetic and environmental risk factors and development of disease-related autoantibodies and joint symptoms and signs, which may be considered nonspecific or unclassified for RA. A better understanding of the pre-RA stage will be useful in developing screening programs for early detection of RA. Identifying and modifying risk factors such as smoking, periodontitis, obesity, viral infections, and hormonal or dietary factors will be useful in preventing RA in susceptible population.
Keywords: Pre-rheumatoid arthritis, unclassified arthritis, rheumatoid arthritis prevention
Introduction
Pre-rheumatoid arthritis (pre-RA) is used to designate events before the clinical occurrence of RA. This stage is characterized by the presence of abnormalities in immune function and responses in the absence of clinical manifestations of autoimmune tissue injury (1). There is a preclinical period in the development of RA where the genetic and environmental factors interact, probably sequentially, to initiate and propagate the autoimmune process, resulting in tissue inflammation and injury. Moreover, disease-related autoantibodies such as rheumatoid factor (RF) and anti-citrullinated peptide antibodies (ACPA) can develop in the absence of clinical signs and symptoms of tissue injury. At a later stage, minimal symptoms or signs can develop, which may be considered nonspecific or unclassified for any particular rheumatic disease before developing classical RA. Importantly, all patients need not experience each stage of the disease, and the phases can be in a combinational manner. For instance, a patient can have genetic risk factors, ACPA, and joint pain (2).
In the current medical literature, researchers used different terminologies, such as pre-RA, preclinical RA, autoantibody-positive arthralgia, probable RA, very early RA, and early undifferentiated arthritis progressing to RA, to describe the earlier phases of RA. To avoid confusion in terminologies, different professional associations such as EULAR recommend certain specific terminologies in the past few years (3).
The different phases of RA development in at-risk individuals from pre-RA to clinically apparent RA has been described in Figure 1. Phase I involves the interaction between genetic and environmental risk factors of RA. Phase II includes the production of RA autoantibodies such as RF and anti-cyclic citrullinated peptide (anti-CCP). Some of these individuals later enter into phase III where they develop arthralgia or joint stiffness without any clinical evidence of arthritis. In phase IV, patients develop arthritis in one or two joints, which is termed as early undifferentiated arthritis. In some cases, the arthritis can be intermittent at this stage and it is termed as palindromic rheumatism. Finally, some of these patients develop classical clinical features of RA, which is described as established RA (Phase V).
Figure 1.
Phases of pre-rheumatoid arthritis
The EULAR study group recommends that in prospective studies, individuals at risk of developing RA should be described as having the following five stages (3).
Individuals with genetic risk factors for RA
Individuals exposed to environmental risk factors for RA
Systemic autoimmunity associated with RA
Symptoms without clinical evidence of arthritis
Unclassified arthritis
The term pre RA is used retrospectevely to describe an earlier phase of the disease, at stage (a) to (e) or any of their combination, in a person who has developed RA. The term pre-RA is used to describe all phases before the development of a disease classifiable as RA, which will be asymptomatic (stages a, b, or c) or symptomatic (stages d or e) (Table 1)(4).
Table 1.
Pre-RA
a. Genetic risk factors for RA | |
b. Environmental risk factors for RA | Asymptomatic |
c. Systemic autoimmunity associated with RA | |
d. Symptoms without clinical evidence of arthritis | |
e. Early undifferentiated arthritis. | Symptomatic |
RA: rheumatoid arthritis
Genetic risk factors of RA (5)
It is well known that 70% of RA patients have genetic association with HLADR4 compared with 30% among controls, increasing the relative risk of developing RA with this gene by 4 to 5 fold. Susceptibility to RA is associated with the third hypervariable region of DRβ1 allele, which is termed as the susceptibility epitope (SE). Other genes discovered later such as protein tyrosine phosphatase 22 and peptidyl arginasedeiminase (PADI-4) also carry approximately 2-fold risk of developing RA. Numerous other genes associated with lower risk are also described (6).
Twin studies show that 12–15% of identical twins develop RA compared with 4% in non-identical twins. The incidence of disease among first degree family members is 0.8%, when compared to 0.5% in the general population. It is found that the known genetic risk alleles and heredity factors can explain only 16% of the overall disease burden (5). Many other factors such as epigenetics can further alter the gene expression in favor of developing RA. It is now clear that genes only modestly increase the risk of RA and that the environment is likely to play a stronger role (7).
Environmental risk factors of RA (Table 2)
Table 2.
Modifying risk factors to prevent rheumatoid arthritis
|
A number of environmental risk factors clearly contribute to RA susceptibility, including smoking, infections, periodontitis, obesity, and hormonal and dietary factors (Figure 2).
Figure 2.
Environmental risk factors for rheumatoid arthritis
Smoking
Smoking is the best defined risk factor for seropositive RA (8). It is a strong stimulus for protein citrullination and generation of anti-CCP antibodies (9). HLA-SE has increased ability to bind the citrullinated protein. A smoker with two copies of HLA-SE has a 40-fold chance of developing RA, indicating the interaction between genetic and environmental risk factors in the development of RA (10, 11). There is also a long latency (up to 20 years) after cessation of smoking to return to the risk level of a non-smoker (12).
Infections
It is found that infective agents can contribute to the initiation or perpetuation of RA via a variety of mechanisms such as molecular mimicry, toll-like receptor activation, or direct invasion of the synovium. Parvovirus 19, Mycoplasma, Enteric bacteria, and Epstein-Barr virus are the commonly implicated infective agents. In India, an epidemic of chikungunya virus infection also contributed to the increase in the prevalence of RA in susceptible population (13).
Periodontitis
Periodontitis is a chronic inflammatory disease of the gingiva. It is a disease with similar pathogenesis, risk factors, and epidemiological association as RA (14). Various Indian studies and other countries showed that the occurrence and severity of periodontitis was found to be higher in RA subjects, suggesting a positive correlation between these two chronic inflammatory diseases (15, 16). RA patients with more periodontal symptoms have higher levels of RA disease activity. In RA patients, periodontitis is a strong predictor of ACPA (17). The bacterium causing periodontitis, namely Porphyromonas gingivalis, causes citrullination through its own PADI enzyme. Hence, management of periodontitis may reduce the risk of developing RA (18).
Dietary risk factors
Many dietary factors are found to modify the risk of RA in susceptible population. Studies show that omega-3 fatty acids ameliorate clinical symptoms of RA and fish oil consumption has a protective effect. Antioxidants in fruits and vegetables (vitamin C, vitamin E, carotenoids, and lycopene) also show a protective effect. Red meat intake and vitamin D deficiency increase the risk of RA. Excessive coffee consumption is also a risk factor for ACPA-positive RA. High salt intake is found to be a risk factor in a recent study (19).
Hormonal factors
Although RA is three times more common in women than in men, estrogen containing contraceptives and other hormone replacement therapies do not reduce the risk of RA. Pregnancy ameliorates RA in majority of women. RA risk increases with breast feeding due to surge of proinflammatory prolactin. It is also found that nulliparity increases RA risk. Obesity is also an important risk factor for RA in western countries, as being overweight increases the levels of circulatory leptins and stimulates proinflammatory cytokines such as TNFα and interleukin-1 (20).
Systemic autoimmunity associated with RA
Individuals who are positive for RF and/or ACPA without any symptoms of RA are classified under this group. Multiple studies showed that RA-related antibodies are present years prior to the diagnosis of RA. Studies on stored prediagnosis blood samples from biobanks in Finland and Northern Sweden demonstrated that RF and anti-CCP were present years prior to the onset of clinically apparent RA (21). In prospective studies of initially healthy family members of patients with RA in UK, the presence of RF preceded the onset of clinically apparent RA. It is now clear that compared with controls, a combination of both anti-CCP and any RF isotype was highly specific for the future development of RA.
Symptoms without clinical evidence of arthritis
It is not uncommon to see patients presenting with arthralgia or joint stiffness with positive RF and/or ACPA, without any demonstrable arthritis on physical examination. Some of these patients later progress to classical RA after a variable period of time, and hence, it is considered as a “pre-RA” phase.
Unclassified arthritis (undifferentiated arthritis)
Unclassified arthritis is a situation where there is arthritis of more than one joint without fulfillment of criteria for RA or any other connective tissue disease. The diagnosis of unclassified arthritis is by exclusion, when the classification criteria for a well-recognized rheumatic condition cannot be satisfied. However, these patients have a great potential for the development of persistent inflammatory arthritis (Figure 3). It is found that 30%–40% of patients with undifferentiated arthritis progress to classical RA on long-term follow-up (22, 23).
Figure 3.
Fate of undifferentiated arthritis
Leiden prediction rule (24) and other scoring systems are useful to identify people who will later progress to RA. If the Leiden prediction rule is ≤6, 91% will not progress to RA. If the prediction score is ≥8, 84% will progress to RA (Figure 4).
Figure 4.
Leiden prediction rule
Prevention of RA
Screening and follow-up of people at risk of developing RA is appropriate for developing prevention programs for the disease (25). First degree relatives of RA patients, twins of RA patients, autoantibody-positive individuals, populations with high disease prevalence rate were screened in various prospective studies. However, these studies are expensive considering the yield as relatively low prevalence rate of RA and RA-related autoantibodies limit the statistical power of these studies (26). Large-scale screening to identify individuals at high risk of developing RA in the future (genetic factors and RA-related antibodies) will be very expensive. Low prevalence of autoantibodies in RA requires large-scale screening to identify at-risk individuals. As these studies are not suitable for developing countries, prevention of RA by modifying environmental factors is emerging as a cheap and effective strategy to prevent RA (27) (Table 2). Patients who are symptomatic definitely need treatment. Palindromic rheumatism patients often respond to antimalarials and other disease-modifying agents (28, 29). Many studies show that patients with undifferentiated arthritis benefit from methotrexate (30). Studies on the role of steroids alone are not very beneficial (31). Combining multiple DMARDs or DMARDs with corticosteroids may be even more beneficial. Among the biological agents, abatacept shows promising results (32). However, more randomized controlled trials with longer follow-up time are needed to prove which treatment provides best results or alters the disease course (33).
Footnotes
Peer-review: Externally peer-reviewed.
Author Contributions: Concept - B.J.P.; Literature Search - B.J.P.; Writing Manuscript - B.J.P.; Critical Review - H.I., V. K.
Conflict of Interest: No conflict of interest was declared by the authors.
Financial Disclosure: The authors declared that this study has received no financial support.
References
- 1.Deane KD, El-Gabalawy H. Pathogenesis and Prevention of Rheumatic disease: Focus on preclinical RA and SLE. Nat Rev Rheumatol. 2014;10:212–8. doi: 10.1038/nrrheum.2014.6. https://doi.org/10.1038/nrrheum.2014.6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.van der Helm-van Mil Annette HM, Stomp Wouter, Reijnierse Monique, Huizinga Tom WJ. Pre-rheumatoid arthritis. In: Emery P, editor. Atlas of Rheumatoid Arthritis. Springer Healthcare; 2015. pp. 21–44. [Google Scholar]
- 3.Raza K, Gerlag DM. Preclinical inflammatory rheumatic diseases: An overview and relevant nomenclature. Rheum Dis Clin North Am. 2014;40:569–80. doi: 10.1016/j.rdc.2014.07.001. https://doi.org/10.1016/j.rdc.2014.07.001. [DOI] [PubMed] [Google Scholar]
- 4.Gerlag DM, Raza K, Van Baarsen LG, Brouwer E, Buckley CD, Burmester GR, et al. EULAR recommendations for terminology and research in individuals at risk of rheumatoid arthritis: report from the Study Group for Risk Factors for Rheumatoid Arthritis. Ann Rheum Dis. 2012;71:638–41. doi: 10.1136/annrheumdis-2011-200990. https://doi.org/10.1136/annrheumdis-2011-200990. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Turk AS, VanBeer-Tas MH, van Schaardenberg D. Prediction of future rheumatoid arthritis. Rheum Dis Clin North Am. 2014;40:753–770. doi: 10.1016/j.rdc.2014.07.007. https://doi.org/10.1016/j.rdc.2014.07.007. [DOI] [PubMed] [Google Scholar]
- 6.Van Steenbergen HW, Huizinga TWJ, Van der Helm-van Mil AHM. The preclinical phase of rheumatoid arthritis: what is acknowledged and what needs to be assessed? Arthritis Rheum. 2013;65:2219–32. doi: 10.1002/art.38013. https://doi.org/10.1002/art.38013. [DOI] [PubMed] [Google Scholar]
- 7.ACR Website. ( http://www.rheumatology.org/Practice/Clinical/Patients/DiseasesAndConditions)
- 8.Sugiyama D, Nishimura K, Tamaki K, Tsuji G, Nakazawa T, Morinobu A, et al. Impact of smoking as a risk factor for developing RA : A meta-analysis of observational studies. Ann Rheum Dis. 2010;69:70–81. doi: 10.1136/ard.2008.096487. https://doi.org/10.1136/ard.2008.096487. [DOI] [PubMed] [Google Scholar]
- 9.Karlson EW, Deane K. Environmental and gene-environment interactions and risk of rheumatoid arthritis. Rheum Dis Clin North Am. 2012;38:405–26. doi: 10.1016/j.rdc.2012.04.002. https://doi.org/10.1016/j.rdc.2012.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Padyukov L, Silva C, Stolt P, Alfredsson L, Klareskog L. A gene-environment interaction between smoking and shared epitope genes in HLA-DR provides a high risk of seropositive rheumatoid arthritis. Arthritis Rheum. 2004;50:3085–92. doi: 10.1002/art.20553. https://doi.org/10.1002/art.20553. [DOI] [PubMed] [Google Scholar]
- 11.Sugiyama D, Nishimura K, Tamaki K, Tsuji G, Nakazawa T, Morinobu A, et al. Impact of smoking as a risk factor for developing RA: A meta-analysis of observational studies. Ann Rheum Dis. 2010;69:70–81. doi: 10.1136/ard.2008.096487. https://doi.org/10.1136/ard.2008.096487. [DOI] [PubMed] [Google Scholar]
- 12.Costenbader KH, Feskanich D, Mandl LA, Karlson EW. Smoking intensity, duration and cessation and the risk of RA in women. Am J Med. 2006;119:503–9. doi: 10.1016/j.amjmed.2005.09.053. https://doi.org/10.1016/j.amjmed.2005.09.053. [DOI] [PubMed] [Google Scholar]
- 13.Paul Binoy, Geetha P, Shanu PM. Clinical profile and long-term sequel of Chikungunya fever. Indian Journal of Rheumatology. 2011;6:12–9. https://doi.org/10.1016/S0973-3698(11)60024-1. [Google Scholar]
- 14.Scher JU, Ubeda C, Equinda M, Khanin R, Buischi Y, Viale A, et al. Periodontal disease and the oral microbiota in new-onset rheumatoid arthritis. Arthritis Rheum. 2012;64:3083–94. doi: 10.1002/art.34539. https://doi.org/10.1002/art.34539. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Joseph R, Sreeraj R, Nath SG, Paul Binoy. Association between chronic periodontitis and Rheumatoid arthritis: a hospital-based case-control study. Rheumatol Intl. 2013;33:103–9. doi: 10.1007/s00296-011-2284-1. https://doi.org/10.1007/s00296-011-2284-1. [DOI] [PubMed] [Google Scholar]
- 16.Wolff B, Berger T, Frese C, Max R, Blank N, Lorenz HM, et al. Oral status in patients with early RA; a prospective case control study. Rheumatology (oxford) 2014;53:526–31. doi: 10.1093/rheumatology/ket362. https://doi.org/10.1093/rheumatology/ket362. [DOI] [PubMed] [Google Scholar]
- 17.Mikuls TR, Thiele GM, Deane KD, Payne JB, O’Dell JR, Yu F, et al. Porphyromonas gingivalis and disease-related autoantibodies in individuals at increased risk of rheumatoid arthritis. Arthritis Rheum. 2012;64:3522–30. doi: 10.1002/art.34595. https://doi.org/10.1002/art.34595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Hitchon CA, Chandad F, Ferucci ED, Willemze A, Ioan-Facsinay A, van der Woude D, et al. Antibodies to porphyromonas gingivalis are associated with anticitrullinated protein antibodies in patients with rheumatoid arthritis and their relatives. J Rheumatol. 2010;37:1105–12. doi: 10.3899/jrheum.091323. https://doi.org/10.3899/jrheum.091323. [DOI] [PubMed] [Google Scholar]
- 19.Kleinewietfeld M, Manzel A, Titze J, Kvakan H, Yosef N, Linker RA, et al. Sodium chloride drive autoimmune disease by the induction of pathogenic TH17 cells. Nature. 2013;496:518–22. doi: 10.1038/nature11868. https://doi.org/10.1038/nature11868. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.de Hair MJ, Landewé RB, van de Sande MG, van Schaardenburg D, van Baarsen LG, Gerlag DM, et al. Smoking and overweight determine the likelihood of developing rheumatoid arthritis. Ann Rheum Dis. 2013;72:1654–8. doi: 10.1136/annrheumdis-2012-202254. https://doi.org/10.1136/annrheumdis-2012-202254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Rantapää-Dahlqvist S, de Jong BA, Berglin E, Hallmans G, Wadell G, Stenlund H, et al. Antibodies against cyclic citrullinated peptide and IgA rheumatoid factor predict the development of rheumatoid arthritis. Arthritis Rheum. 2003;48:2741–9. doi: 10.1002/art.11223. https://doi.org/10.1002/art.11223. [DOI] [PubMed] [Google Scholar]
- 22.Van Aken J, van Dongen H, le Cessie S, Allaart CF, Breedveld FC, Huizinga TW. Comparison of long term outcome of patients with rheumatoid arthritis presenting as undifferentiated arthritis: an observational cohort study. Ann Rheum Dis. 2006;65:20–25. doi: 10.1136/ard.2005.038471. https://doi.org/10.1136/ard.2005.038471. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Machado P, Castrejon I, Katchamart W, Koevoets R, Kuriya B, Schoels M, et al. Multinational evidence based recommendation on how to investigate and follow up undifferentiated peripheral inflammatory arthritis. Ann Rheum Dis. 2011;70:15–24. doi: 10.1136/ard.2010.130625. https://doi.org/10.1136/ard.2010.130625. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.van der Helm-van Mil AH, le Cessie S, van Dongen H, Breedveld FC, Toes RE, Huizinga TW. A prediction rule for disease outcome in patients with recent-onset undifferentiated arthritis. Arthritis Rheum. 2007;56:433–40. doi: 10.1002/art.22380. https://doi.org/10.1002/art.22380. [DOI] [PubMed] [Google Scholar]
- 25.Massetto Beaulieu MC, Boire G. prevention of rheumatoid arthritis: the very first steps. J Rheumatol. 2013;40:752–4. doi: 10.3899/jrheum.130326. https://doi.org/10.3899/jrheum.130326. [DOI] [PubMed] [Google Scholar]
- 26.Klareskog L, Gregersen PK, Huizinga TW. Prevention of autoimmune rheumatic disease: state of the art and future perspectives. Ann Rheum Dis. 2010;69:2062–6. doi: 10.1136/ard.2010.142109. https://doi.org/10.1136/ard.2010.142109. [DOI] [PubMed] [Google Scholar]
- 27.Lahiri M, Morgan C, Symmons DPM, Bruce IN. Modifiable risk factors for RA: prevention, better than cure? Rheumatology (Oxford) 2012;51:499–512. doi: 10.1093/rheumatology/ker299. https://doi.org/10.1093/rheumatology/ker299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Katz SJ, Russels AS. Palindromic rheumatism: a pre-rheumatoid arthritis state? J Rheumatol. 2012;39:1912–3. doi: 10.3899/jrheum.120995. https://doi.org/10.3899/jrheum.120995. [DOI] [PubMed] [Google Scholar]
- 29.Gonzalez-Lopez L, Gamez-Nava JI, Jhangri G, Russell AS, Suarez-Almazor ME. Decreased progression to rheumatoid arthritis or other connective tissue diseases in patients with palindromic rheumatism treated with antimalarials. J Rheumatol. 2000;27:41–6. [PubMed] [Google Scholar]
- 30.van Dongen H, van Aken J, Lard LR, Visser K, Ronday HK, Hulsmans HM, et al. Efficacy of methotrexate treatment in patients with probable rheumatoid arthritis: a double-blind, randomized, placebo-controlled trial. Arthritis Rheum. 2007;56:1424–32. doi: 10.1002/art.22525. https://doi.org/10.1002/art.22525. [DOI] [PubMed] [Google Scholar]
- 31.Machold KP, Landewé R, Smolen JS, Stamm TA, van der Heijde DM, Verpoort KN, et al. The Stop Arthritis Very Early (SAVE) trial, an international multicentre, randomised, double-blind, placebo-controlled trial on glucocorticoids in very early arthritis. Ann Rheum Dis. 2010;69:495–502. doi: 10.1136/ard.2009.122473. https://doi.org/10.1136/ard.2009.122473. [DOI] [PubMed] [Google Scholar]
- 32.Emery P, Durez P, Dougados M, Legerton CW, Becker JC, Vratsanos G, et al. Impact of T-cell co-stimulation modulation in patients with undifferentiated Inflammatory arthritis or very early rheumatoid arthritis: a clinical and imaging study of a batacept (the ADJUST trial) Ann Rheum Dis. 2010;69:510–6. doi: 10.1136/ard.2009.119016. https://doi.org/10.1136/ard.2009.119016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Wevers-de Boer KV, Heimans L, Huizinga TW, Allaart CF. Drug therapy in undifferentiated arthritis: a systematic literature review. Ann Rheum Dis. 2013;72:1436–44. doi: 10.1136/annrheumdis-2012-203165. https://doi.org/10.1136/annrheumdis-2012-203165. [DOI] [PubMed] [Google Scholar]