POTENTIAL BIOMARKERS OF RHEUMATOID ARTHRITIS AS A TOOL FOR RESEARCH AND DEVELOPMENT OF NEW DRUG MOLECULE: A REVIEW
HTML Full TextPOTENTIAL BIOMARKERS OF RHEUMATOID ARTHRITIS AS A TOOL FOR RESEARCH AND DEVELOPMENT OF NEW DRUG MOLECULE: A REVIEW
Abhijita Talukder, Purbajit Chetia *, Nayanika Neog, Priyakshi Chutia and Bhargab Jyoti Sahariah
NETES Institute of Pharmaceutical Science, Mirza, Guwahati, Assam, India.
ABSTRACT: Rheumatoid Arthritis (RA) is an autoimmune inflammatory illness characterized by persistent synovial inflammation. It’s the most common form of arthritis that causes inflammatory changes in the tissue of joints, destroys cartilage and bones, and affects the quality of life. This diverse disease has a wide range of disease progression and treatment responses. Because the precise origin of rheumatoid arthritis is still unknown, no medicine can ensure a full recovery. Biomarkers guide the clinical and pharmacological management of rheumatoid arthritis at all phases. This is because they can help in the monitoring of disease activity and progression, the prediction of illness beginning in at-risk patients, and the provision of predictive data. American College of Rheumatology (ACR) emphasized on initial investigation of clinical findings based on the physical data for the diagnosis of RA. Although Rheumatoid factor and anti-citrullinated protein antibodies are the two biomarkers that can be used to determine who is at risk for the condition and who has pre-clinical rheumatoid arthritis before symptoms develop, there are involvements of many genes and other proteins that have been connected to a higher risk of rheumatoid arthritis development. This review analyses potential research biomarkers for RA, focusing on biomarkers presently used in routine clinical practice addressing unresolved clinical issues.
Keywords: Autoimmunity, Rheumatoid Arthritis(R.A), Biomarkers, Rheumatoid factor (R.F), Anticitrullinated protein
INTRODUCTION: Rheumatoid arthritis (RA) is an autoimmune, persistent inflammatory illness 1. with an unknown cause that affects between 0.5 and 1 percent of adults globally. However, 60% of the risk factors for RA are hereditary in nature. Gene polymorphisms, complex factors and epigenetic variables including DNA methylation and histone acetylation are the first genetic factors mentioned 2. Environmental variables, including food, smoking, and oral health, are also risk factors 3.
An inflammatory reaction is what the illness is first known for, followed by autoantibody activation, synovial membrane destruction, and joint injury 4. Evidence suggests that the sooner RA patients are treated, the better their prognosis. It mainly affects the synovial tissue of joints and has many systemic manifestations. The lack of clinical symptoms in the early stage of rheumatoid arthritis creates an interest in the laboratory diagnosis of the disease.
The intense study of biomarkers in rheumatology evolved from the need to comprehend the pathophysiological underpinnings of various rheumatic illnesses. A continuing area of research for RA is the identification of novel biomarkers that play crucial roles at different phases of evolution 5. The term "biomarker" refers to interaction parameters that provide information on an objectively measurable physiological, biochemical or morphological change that can be assessed at the molecular, biochemical, or cellular level and that serves as an indicator of a functional biological process, a pathogenic state, or as a response to medical treatment 6. Biological markers are physiological signals brought on by a xenobiotic, a cellular exposure, an early cellular reaction, or an innate or acquired vulnerability 7.
The European League against Rheumatism (EULAR) and the American College of Rheumatology (ACR) established the 2010 RA Classification Criteria, which provide a scoring system for RA patients that considers their medical history, physical exam, and biomarkers to standardize clinical trials. The criteria have a RA classification sensitivity of 84 percent and a specificity of 60 percent 8 besides rheumatoid factor and the anti-cyclic citrullinated peptide that is used for diagnosis.
RA, following EULAR criteria 9 new biomarkers are being developed in research to help in RA diagnosis. Recently discovered auto antigens and antibodies may aid in the early identification of disease and the prognosis of disease progression 10. The Food and Drug Administration categorizes biomarkers into the following groups 11, 60.
Diagnostic Biomarker: This is used to identify people with a certain subtype of disease or to detect or confirm the existence of a disease or other condition. For example, HbA1c is frequently employed as the primary biomarker for detecting diabetes and prediabetes 12.
Prognostic Biomarkers: These are utilized to assess the likelihood of a clinical event, illness progression, or disease recurrence in individuals having a diagnosis of an interesting disease or medical condition. For instance: rising prostate-specific antigen (PSA) levels as a marker of prostate cancer clinical progression 13.
Safety Biomarker: These are utilized to show the possibility, existence, or degree of toxicity as an unfavorable outcome assessed before or after exposure to a medical product or from environmental factors. Transaminases, for instance, have been used as biomarkers for medicines that may be hazardous to the liver 14.
Monitoring Biomarker: A biomarker that is monitored repeatedly to determine the severity of a disease or medical condition and the presence or impact of a medicinal product or environmental contaminant. B-type natriuretic peptide, for instance, has been used to assess ventricular and vascular function in children with pulmonary arterial hypertension 15.
Pharmacodynamic Response Biomarker: A pharmacodynamic response biomarker is used to show that a person's exposure to medications or environmental factors results in a biological reaction. The International Standardized Ratio (INR) for anticoagulant therapy, which has particular importance in medication modification, is one example 16.
Ideal biomarkers must be able to be obtained from patient clinical data, give diagnostic, prognostic, and therapeutic information, and have high specificity, representatively as well as stability 17.
This paper aims to review various biomarkers that have a potential role in the initiation and progression of Rheumatoid Arthritis and may be helpful in researching and developing new drug molecules for the same.
METHODOLOGY: The material in this study was gathered from a variety of sources, including research and review papers, meta-analyses, and the proceedings of conference presentations published in journals.
Various electronic database systems were used to develop strategic search, including scientific data from PubMed, Science Direct, and Google Scholar, incorporating various keywords, such as "Biomarkers for Rheumatoid Arthritis", "Antibodies for Rheumatoid Arthritis" and "Rheumatoid factor" etc. A huge number of articles were available, but the articles that directly related to the topic were selected to write this review.
TABLE 1: POTENTIAL BIOMARKER FOR RHEUMATOID ARTHRITIS
Diagnostic Biomarker | ACPA (Anti-citrullinated protein/peptide antibody)
MBDA (Multi-biomarker disease activity) ESR (Erythrocyte Sedimentation Rate) RF (Rheumatoid Factor) CRP (C-reactive protein) |
Investigational Biomarker | Serum 14 3 3 eta
Anti-mutated citrullinated vimentin (anti-MCV) Urine CTX-I and CTX-II Serum COMP Serum hyaluronan Serum MMP-1 and MMP-3 Anti-carP |
Genetic Biomarker | HLA-D4
HLA-DRB-1 |
Predictive Biomarker /Pronostic Biomarker | Serum calprotectin
Survinin Anti savoie Antikeratin |
Biomarkers for the Monitorization of the Disease Activity | CDAI (Clinical disease activity index).
SDAI (Simple disease activity index) DAS 28 (Disease activity score) |
Diagnostic Biomarkers:
Rheumatoid Factor: A rheumatoid factor is an essential diagnostic biomarker that identifies the presence of an autoantibody known as a rheumatoid factor against the Fc portion of IgG in the blood of a patient. Autoantibodies mistakenly attack the body's healthy cells and tissues, while normal antibodies fight off the antigen. These antibodies are directed against immunoglobulin (Ig) G's Fc region. IgM RF is the most routinely screened in clinical practice, while IgA and IgG RF are also available. About 80% of RA patients are detected with rheumatoid factor, and they might also be seen in a variety of other inflammatory disorders that cause prolonged antigenic stimulation, which limits their specificity 18. RF positive increases the danger of RA, with higher titers indicating a higher risk 19.
Auto Antibodies against Citrullinated Proteins (ACPA): In studies on RA biomarkers, autoantibodies to citrullinated protein epitopes have received attention. Citrullination is a post-translational alteration of proteins that can result in the creation of novel epitopes which the immune system is not tolerant of and can result in the formation of new autoantibodies. The anti-cyclic citrullinated peptide (anti-CCP2) test, which has a very high diagnostic and prognostic value, is the most widely used ACPA. If more specificity is concerned, anti-CCP plays a vital role, but RF is also highly sensitive for diagnosing RA. Twenty to thirty percent of RA patients without RF have anti-CCP2 positivity. Besides erosive inflammatory arthritis, other rheumatologic conditions, including myositis and sjogren's syndrome, have also been linked to anti-CCP2 positivity.
Additionally, individuals with active pulmonary TB who only exhibit mild rheumatologic symptoms are anti-CCP2 positive. High titer RF antibodies and anti-CCP2 antibodies both enhance the risk of erosive joint damage, but anti-CCP2 antibodies are more dangerous. High titer anti-CCP2 antibodies are associated with a better clinical response to various biological products, which may enable clinicians to adjust treatment for the highest chance of response 20.
Erythrocyte Sedimentation Rate (ESR): The erythrocyte sedimentation rate is a test that measures indirect inflammation and determines the rate at which erythrocytes descend quickly when blood is suspended in a vertical tube. The results are expressed as millimeters of clear fluid (plasma) remaining at the upper portion of the tube after an hour. Various conditions, including systemic or local inflammatory processes, infection, malignancy, tissue damage, stage renal disease, nephrotic syndrome, and obesity, can cause elevated ESR readings. Women's ESR levels are somewhat higher than men's, increasing with age. Falsely low ESR readings can also result from several factors, including abnormal erythrocyte shape, severe leukocytosis, heart failure, and cachexia 21.
C-Reactive Protein (CRP): The C-reactive protein (CRP) test quantifies the level of CRP in blood. A protein called CRP is associated with inflammation in the human body. CRP is a member of the pentraxin protein family and is a pattern recognition molecule involved in the innate immune response 22. Low-grade CRP increases have been linked to a number of metabolic stresses, such as atherosclerosis, overweight, type II diabetes, unhealthy lifestyles, poor diets, etc. 23.
An excess of pro-inflammatory cytokines in the RA synovium enhances the liver's production of the c-reactive protein. Hence it has been considered as a good choice of a biomarker 24. (Elevated ESR and CRP readings are part of the 2010 ACR/EULAR Classification Criteria for RA 25, 20.
Antinuclear Antibody (ANA): Antinuclear antibody (ANA) tests detect antinuclear antibodies in the blood, which fight with own body's tissues. The antibodies attach to a cell's nucleus. Many persons without RA, particularly women over 65, test positive for ANA. Other blood tests, such as anti-CCP, can help narrow down if you have RA. ANA tests look for both rheumatic and non-rheumatic disorders, such as autoimmune liver diseases. A rheumatologist will contact you if you have a positive ANA test to discover which has auto antibodies 27.
Multi-Biomarker Disease Activity (MBDA): A very important and widely used commercially accessible assay is the MBDA test. This assay uses an algorithm to indicate inflammation status in RA and summarizes the data into a single score after evaluating almost 12 serum protein biomarkers. The serum protein biomarkers are identified as epidermal growth factor (EGF), resistin, vascular endothelial growth factor A (VEGF-A), interleukin 6 (IL-6), tumor necrosis factor receptor type 1 (TNF-R1), matrix metalloproteinase-1 (MMP-1), VCAM-1, human cartilage glycoprotein 39 (YKL-40), serum amyloid (SAA), leptin, matrix metalloproteinase-3 (MMP-3) and CRP 20.
The MBDA test has been demonstrated to be a significant independent predictor of radiographic advancement at one year in experiment 26 and high baseline MBDA scores are a powerful independent predictor of radiographic advancement according to to post hoc analysis of the data 28. In both cases, more research is required. This test is not currently recommended in the 2015 ACR Guideline for the Treatment of Arthritis. The cost-effectiveness of this test and its use in ordinary clinical practice are still debatable 20.
Investigational Biomarkers:
Anti–CARP: Anti-CarP, which is nothing but antibodies to carbamylated proteins, has been discovered in RA patient’s blood. But unfortunately, studies could not show increased sensitivity or specificity compared to the RF and anti-CCP2 testing in current clinical practice 29. When the enzyme peptidyl-arginine deiminase (PAD) converts the amino acid arginine to the amino acid citrulline, anti-carbamylated protein antibodies identify proteins 49.
Serum 14-3-3 ETA: An intracellular chaperonin protein called Serum 14-3-3etahas been explored as a diagnostic biomarker in RA. However, the evidence so far is insufficient to justify its routine clinical usage. When combined with RF and anti-CCP2, testing can enhance diagnostic rates (from 72 percent to 78 percent) or reclassify previously seronegative people. 30. Further study is needed in this regard. Serum 14-3-3eta proteins are a family of molecular chaperones that play an important role in controlling intracellular activities, including proliferation, differentiation and metabolism. The 14-3-3 family of intracellular chaperone proteins has seven isoforms. In synovial fluid and serum samples from individuals with inflammatory joint disorders, only two isoforms, eta and y, are easily identifiable 31. demonstrated that a novel soluble biomarker, 14-3-3," was present at significantly higher levels in synovial fluid and serum samples of patients with joint inflammation compared to healthy subjects, based on immunoblot analysis. However, more clinical data were needed to confirm the value of using this novel biomarker 32.
Anti-Mutated Citrullinated Vimentin (Anti-MCV): Genetically modified citrullinated vimentin (anti-MCV) assay is the newest member of the ACPAs family of assays. An isoform of vimentin called the anti-MCV antibody has arginine residues instead of glycine. Anti-MCV antibodies can also be present in anti-CCP- and RF-negative individuals, making them suitable candidates for diagnostic testing. When combined with RF and anti-CCP testing, anti-MCV antibodies can enhance the chance that nonspecific-undifferentiated arthritic patients will be diagnosed. There is no published information on the diagnostic value of anti-MCV testing in children and adults with arthritis who have already had positive results from RF and anti-CCP tests. So, few experts advise patients who test negative for one or both anti-CCP and/or RF tests to test for anti-MCV 50.
Serum COMP: COMP (cartilage oligomeric matrix protein) is a cartilage-derived marker of cartilage degradation that is considered as a prognostic factor in early RA 33. Patients with knee osteoarthritis (OA) and early rheumatoid arthritis have been shown to have higher levels of COMP fragments in their blood 34. As a result, it has been proposed that patients with high levels of COMP in their serum may have accelerated articular cartilage deterioration. Patients with higher serum COMP levels had a quicker development of their disease 35.
Urine CTX-I AND CTX-II: The CTx-II biomarker has been extensively studied to assess cartilage turnover in patients with osteoarthritis and rheumatoid arthritis. The potential that CTx-II release is a partial reflection of bone turnover rather than a particular marker of cartilage turnover has been considered in recent papers. Because CTx-II is so widely utilized, it was evident that its cartilage specificity needed to be re-evaluated. Depletion of the epitopes from urine and affinity purification of the epitopes were used to evaluate ELISA specificity for CTx-I and CTx-II. The release of CTx-I and CTx-II from bone and cartilage was examined using cathepsin K or matrix metalloproteinases to digest cartilage and bone, and the release of CTx-I and CTx-II was measured using an ELISA. We also looked at the release of CTx-I and CTx-II in explant cultures from bone induced by osteoclasts and pro-inflammatory cytokine-stimulated cartilage explant cultures. Because CTx-II measures cartilage deterioration rather than bone turnover, it is a reliable biomarker of cartilage breakdown rather than bone turnover 36.
Serum Hyaluronan: Hyaluronan (HYA) is a linear extracellular polysaccharide in all tissues and bodily fluids, with the largest amounts in loose connective tissue 37. It's found in synovial fluid, responsible for the fluid's distinctive rheological qualities, and cartilage, responsible for the backbone of proteoglycan aggregates and synovial tissue and joint capsule. In joints, serum hyaluronan work for lubrication, cartilage growth and bone growth, and inflammation reduction.
Hyaluronan is a connective tissue polysaccharide that has also been found in blood serum in concentrations < 100 micrograms/L (average 30-40 micrograms/L in middle-aged persons 37.
Serum MMP-1 AND MMP-3: Matrix metalloproteinases, MMPs, such as MMP-3 (stromelysin-1) and MMP-1 (collagenase-1), have been examined to see if they might predict the course of RA in terms of joint destruction. MMPs are the cartilage degrading enzyme. Early research failed to find a link between MMP-3 and MMP-1 levels in the blood and the course of RA in terms of joint destruction due to their performed study design. In early untreated RA, baseline serum MMP-1 and MMP-3 levels predict functional and radiographic prognosis and correlate with disease activity 38.
Genetic Biomarker:
HLA-DR4: HLA-DR4 The existence of the individual genetic component HLA-DR4 is related to the development of seropositive, but not seronegative, rheumatoid arthritis. These findings suggest that HLA genes play a crucial role in the etiopathogenesis of rheumatoid arthritis, most likely by creating a 'prearthritic' immunological environment on which the triggering events can develop 39.
HLA-DRB-1: HLA-DRB-1- The well-studied genetic component in RA is the shared epitope (SE), a set of HLA-DRB1 alleles with comparable amino acid sequences. Several investigations have discovered a link between SE and illness severity. It has been revealed that HLADRB1*0401 and DRB1*0404 are independent predictors of radiographic erosions. The Behandel Strategies (BeSt) study found no significant connection between HLA-DRB1 and radiographic progression in individuals with early RA treated with a strict control approach.40
Prognostic Biomarker:
Serum Calprotectin: Serum calprotectin is a type of calcium-binding protein that is mostly present in leukocytes and can be found in monocytes and macrophages. Many inflammatory disorders can raise the levels of calprotectin. As a damage-associated molecular pattern (DAMP) protein, calprotectin (S100A8/S100A9 protein) mostly reflects neutrophil activity. In inflammatory rheumatic disorders, serum calprotectin levels may be a useful substitute for acute-phase protein as a biomarker. S100A8 and S100A9, two non-covalently linked calcium-binding proteins, combine to form calprotectin, a heterodimeric complex. They are a part of the 25-member S100 proteins family.
These two proteins are sometimes called calgranulin A and B or myeloid-related protein (MRP) 8 and 14. The cytoplasm of granulocytes has a high concentration of calprotectin (40–60% of the cytosolic protein total). It controls calcium homeostasis inside the cells, interacts with the cytoskeleton and microtubules, and participates in the intracellular movement of phagocytes. Calprotectin levels in normal serum are expected to range between 0.1 and 1.6 g/ml, and they can rise in various diseases such as infection, inflammation, or malignancy 41.
Survinin: Survivin, a tumor biomarker that belongs to the family of apoptosis inhibitors, has been found in RA patients 42 and it aids in the creation of functional T-cell receptors and memory T-cell differentiation. Survivin is required to express major histocompatibility complex molecules and mature dendritic cells, both of which are critical in the genesis of RA 43.
Anti-Savoie: Anti-Savoie (Anti-Sa), an RA-specific autoantibody, is found in roughly 43% of RA patients but not in the sera of people with other autoimmune illnesses or healthy people. Furthermore, anti-Sa positivity was found in 27% of RF - negative RA patients. Anti-Sa has a specificity of 92 to 98 percent, whereas its sensitivity is at 40 percent. Anti-Sa positive has been linked to more active and destructive illness, hence the high specificity has significant predictive significance. As a result, anti-Sa might be useful in RA diagnosis and prognosis.44
Antikeratin: Antikeratin antibodies were also found in RA patients who were rheumatoid factor seronegative, proving that antikeratin antibodies lack rheumatoid factor action. These results imply that antikeratin antibodies are detected at RA diagnosis and that the presence of antikeratin antibodies may be a good indicator of RA development 45.
Biomarkers for the Monitorization of the Disease Activity:
Disease Activity SCORE (DAS 28): To measure disease activity in RA on a group and individual level in both clinical practice and clinical trials, the Disease Activity Score (DAS) and the DAS28 were developed. Swollen joints, painful joints, acute phase response, and general health are all factors included in the continuous RA disease activity measure known as the DAS/DAS28. The primary purpose for which the DAS-based EULAR response criteria were created was for use in clinical research 46, 62.
DAS-28 is calculated based on the number of sore and swollen joints, erythrocyte sedimentation rate (ESR), and overall health on a VAS scale (0-100 mm). Low disease activity is classified as 3.2 or less, moderate disease activity as 3.2 to 5.1 and severe disease activity as more than 5.1 on the continuous DAS-28 Scale, which ranges from 0 to 9.4. In DAS-28, 2.6 is a standard remission threshold value 48.
Simple Disease Activity Index (SDAI): In both research and clinical contexts, the Simplified Disease Activity Index for Rheumatoid Arthritis (SDAI) scoring system has been proven to be reliable. When evaluated with other measures, it has been demonstrated to have the best sensitivity and specificity for predicting a physician's choice to modify DMARD medication. The swollen joint count (SJC) and tender joint count (TJC) based on a 28-joint assessment, global patient assessment of disease activity (PGA visual analog scale (VAS) 0-10 cm), global physician assessment of disease activity (MDGA VAS 0-10 cm) and C-reactive protein (CRP in mg/dl) are the outcome parameters used to calculate the SDAI 46, 47.
SDAI = TJC + SJC + PGA + MDGA + CRP
Clinical Disease Activity Index (CDAI): The Clinical Disease Activity Index (CDAI) is a composite index for measuring disease activity that excludes acute-phase reactants. For determining disease activity, the CDAI is based on a simple addition of the number of swollen/tender joints (28 joints), combined with patient and physician assessments on the VAS (0–10 cm) Scale. The range of the CDAI is 0 to 76. Low disease activity is classified as 10 or less, moderate disease activity as 10 to 22 and severe disease activity as more than 22. In CDAI, less than 2.6 is a standard remission threshold value 47, 48.
CDAI = TJC + SJC + PDGA + EDGA
Where TJC is the Tender Joint Count, SJC is the Swollen Joint Count, PDGA is the Patient's Disease Global Assessment (VAS 0–10 cm) and EDGA is the Evaluator / Assessor's Disease Global Assessment (VAS 0–10 cm).
TABLE 2: SENSITIVITY AND SPECIFICITY OF DIFFERENT BIOMARKERS
Biomarkers | Sensitivity | Specificity | Reference |
RF | 68.5% | 77.1% | 51 |
ACPA | 76.1% | 92.4% | 51 |
ESR | 48.4% | 69.1% | 52 |
CRP | 71.3% | 55.9% | 52 |
ANA | 42% | 85% | 60 |
AnticarP | 46.8% | 91.95% | 53 |
Serum 14 3 3 eta | 100% | 78.57% | 54 |
Anti MCV | 81% | 95% | 55 |
Serum COMP | 68% | 70% | 56 |
Serum hyaluronan | 82.5% | 100% | 57 |
Antikeratin | 48% | 93% | 58 |
Serum calprotectin | 57% | 79% | 41 |
Anti-Savoie(Anti-Sa) | 36.6% | 96.9% | 59 |
CONCLUSION: RA is a progressive inflammatory disorder that primarily targets the synovial membrane of the joints and initiates its destruction via several antigen-antibody interactions and other biomarkers that have been identified till today. The antibodies especially form immune complexes in the joints, leading to the attraction of immune cells and secretion of chemokines and cytokines, which can further augment the immune response and contribute to chronic inflammation and bone destruction. Patients with fast-developing RA have yet to be identified by a single feature. Hence, the study of biomarkers has brought major perceptions in rheumatology. The presence of RF and anti-CCP antibodies, as well as high ESR and CRP values, predicts a poor prognosis.
The discovery of illness-specific biomarkers that may correlate more closely with the disease process and assist well in classifying patients in terms of prognosis and treatment response is an intriguing area of expanding research. Several biomarkers have been suggested, but further research is needed before they can be acclaimed for general clinical usage. It is believed that it will showcase a better understanding of the pathophysiology of RA and the development of a new drug molecule in the future. It delivers fascinating and extensive areas for further research, leaving scope to gain more knowledge about biomarkers, immune responses, drug discovery, and evaluation for RA and other inflammatory disorders.
ACKNOWLEDGMENT: The authors would like to thank Girijananda Chowdhury Institute of Pharmaceutical Science for their kind support during the literature reviews for this article.
CONFLICT OF INTEREST: The authors have no conflicts of interest regarding this review article
REFERENCE:
- Scherer HU, Häupl T and Burmester GR: The etiology of rheumatoid arthritis. J Autoimmun 2020; 110.
- Cush JJ: Rheumatoid Arthritis: Early Diagnosis and Treatment. Med Clin North Am 2021; 105(2): 355-365.
- Smolen JS, Aletaha D, Barton A, Burmester GR, Emery P, Firestein GS, Kavanaugh A, McInnes IB, Solomon DH, Strand V and Yamamoto K: Rheumatoid arthritis. Nature reviews. Disease Primers 2018; 4: 18001.
- Chen Z, Bozec A, Ramming A and Schett G: Anti-inflammatory and immune-regulatory cytokines in rheumatoid arthritis. Nat Rev Rheumatol 2019; 15(1): 9-17.
- Kolarz B, Podgorska D and Podgorski R: Insights of rheumatoid arthritis biomarkers. Biomarkers 2021; 26(3): 185-195.
- Garaffoni C, Adinolfi A, Bortoluzzi A, Filippou G, Giollo A, Sakellariou G, Sirotti S, Ughi N, Scirè CA and Silvagni E: Novel insights into the management of rheumatoid arthritis: one year in review 2022 Clin Exp Rheumatol 2022; 40(7): 1247-1257.
- Puentes-Osorio Y, Amariles P, Calleja M, Merino V, Díaz-Coronado J and Taborda D: Potential clinical biomarkers in rheumatoid arthritis with an omic approach. Autoimmunity Highlights 2021; 12(1): 9.
- Rönnelid J, Turesson C and Kastbom A: Autoantibodies in Rheumatoid Arthritis - Laboratory and Clinical Perspectives. Front Immunol 2021; 12: 685312.
- Mun S, Lee J, Park M, Shin J, Lim MK and Kang HG: Serum biomarker panel for the diagnosis of rheumatoid arthritis. Arthritis Res Therapy 2021; 23(1): 31.
- Lin YJ, Anzaghe M and Schülke S: Update on the Pathomechanism, Diagnosis, and Treatment Options for Rheumatoid Arthritis. Cells 2020; 9(4): 880.
- U.S. Food & Drug Administration. U.S. Bio‑ marker qualification‑Collaborative effort to qualify a drug developmenttool. FDA Case Study. 2017https://www.fda.gov/media/104459/download
- Dorcely B, Katz K, Jagannathan R, Chiang SS, Oluwadare B, Goldberg IJ and Bergman M: Novel biomarkers for prediabetes, diabetes, and associated complications. Diabetes Metab Syndr Obes Targets Ther 2017; 10: 345– 61
- Park EJ, Jeong W and Kim J: Prognostic Factors for Radiographic Progression in Patients with Seronegative Rheumatoid Arthritis. J Pers Med 2021; 11(3): 184.
- Burmester GR and Pope JE: Novel treatment strategies in rheumatoid arthritis. Lancet 2017; 389(10086): 2338-2348.
- Gukova X, Hazlewood GS, Arbillaga H, MacMullan P, Zimmermann GL, Barnabe C, Choi MY, Barber MRW, Charlton A, Job B, Osinski K, Hartfeld NMS, Knott MW, Pirani P and Barber CEH: Development of an interdisciplinary early rheumatoid arthritis care pathway. BMC Rheumatol 2022; 6(1): 35.
- Margolis AR, Porter AL, Staresinic CE and Ray CA: Impact of an extended International Normalized Ratio follow‑up interval on Healthcare Use among veteran patients on stable warfarin doses. Am J Health Syst Pharm 2019; 76(22): 1848–52.
- Aronson JK and Ferner RE: Biomarkers-A General Review. Curr Protoc Pharmacol 2017; 76: 9.23.1-9.23.17.
- Tiwari V, Jandu JS and Bergman MJ: Rheumatoid Factor. Stat Pearls Publishing 2022.
- Handa R: Rheumatoid factor and rheumatoid arthritis. J Clin Orthop Trauma 2020; 11(6): 1169-1171.
- Shapiro SC: Biomarkers in Rheumatoid Arthritis. Cureus 2021; 13(5): 15063.
- Beers DR, Zhao W, Neal DW, Thonhoff JR, Thome AD, Faridar A, Wen S, Wang J and Appel SH: Elevated acute phase proteins reflect peripheral inflammation and disease severity in patients with amyotrophic lateral sclerosis. Sci Rep 2020; 10(1): 15295.
- Pathak A and Agrawal A: Evolution of C - reactive protein. Front Immunol 2019; 10: 943.
- Herwald H and Egesten A: C - reactive protein: More than a Biomarker. J Innate Immun 2021; 13(5): 257-258.
- Savvateeva E, Smoldovskaya O, Feyzkhanova G and Rubina A: Multiple biomarker approach for the diagnosis and therapy of rheumatoid arthritis. Crit Rev Clin Lab Sci 2021; 58(1): 17-28.
- Deane KD and Holers VM: Rheumatoid Arthritis Pathogenesis, Prediction, and Prevention: An Emerging Paradigm Shift. Arthritis Rheumatol 2021; 73(2): 181-193.
- Curtis JR, van der Helm-van Mil AH, Knevel R, Huizinga TW, Haney DJ, Shen Y, Ramanujan S, Cavet G, Centola M, Hesterberg LK, Chernoff D, Ford K, Shadick NA, Hamburger M, Fleischmann R, Keystone E and Weinblatt ME: Validation of a novel multibiomarker test to assess rheumatoid arthritis disease activity. Arthritis Care Res (Hoboken) 2012; 64(12): 1794-1803.
- Bossuyt X, Langhe ED, Borghi MO and Meroni PL: Understanding and interpreting antinuclear antibody tests in systemic rheumatic diseases. Nat Rev Rheumatol 2020; 16: 715–726.
- Fraenkel L, Bathon JM, England BR, St Clair EW, Arayssi T, Carandang K, Deane KD, Genovese M, Huston KK, Kerr G, Kremer J, Nakamura MC, Russell LA, Singh JA, Smith BJ, Sparks JA, Venkatachalam S, Weinblatt ME, Al-Gibbawi M, Baker JF and Akl EA: 2021 American College of Rheumatology Guideline for the Treatment of Rheumatoid Arthritis. Arthritis Rheumatol 2021; 73(7): 1108-1123.
- Wu CY, Yang HY, Luo SF and Lai JH: From Rheumatoid Factor to Anti-Citrullinated Protein Antibodies and Anti-Carbamylated Protein Antibodies for Diagnosis and Prognosis Prediction in Patients with Rheumatoid Arthritis. Int J Mol Sci 2021; 22(2): 686.
- Tu J, Chen X, Dai M, Pan A, Liu C, Zhou Y, Xia X and Sun L: Serum levels of 14-3-3η are associated with increased disease risk, activity and duration of rheumatoid arthritis in Chinese patients. Exp Ther Med 2020; 20(2): 754-761.
- Tajima T, Mori T, Hirano F, Sabanai K, Kawasaki M, Yamanaka Y, Tsukamoto M and Sakai A: Alpha-Defensin-1 in Synovial Fluid is Useful for Diagnosis of Joint Infection. J UOEH 2020; 42(2): 167-173.
- Guan SZ, Yang YQ, Bai X, Wang Y, Feng KQ, Zhang HJ, Dong M, Yang HW and Li HQ: Serum 14-3-3η Could Improve the Diagnostic Rate of Rheumatoid Arthritis and Correlates to Disease Activity. Ann Clin Lab Sci 2019; 49(1): 57-62.
- Savvateeva E, Smoldovskaya O, Feyzkhanova G and Rubina A: Multiple biomarker approach for the diagnosis and therapy of rheumatoid arthritis. Crit Rev Clin Lab Sci 2021; 58(1): 17-28.
- Ciechomska M, Roszkowski L and Maslinski W: DNA Methylation as a Future Therapeutic and Diagnostic Target in Rheumatoid Arthritis. Cells 2019; 8(9): 953.
- Sánchez-Flórez JC, Seija-Butnaru D, Valero EG, Acosta CDPA and Amaya S: Pain Management Strategies in Rheumatoid Arthritis: A Narrative Review. J Pain Palliat Care Pharmacother 2021; 35(4): 291-299.
- Garnero P, Sornay-Rendu E and Chapurlat R: The cartilage degradation marker, urinary CTX-II, is associated with the risk of incident total joint replacement in postmenopausal women. An 18 year evaluation of the OFELY prospective cohort. Osteoarthritis and Cartilage 2020; 28(4): 468-474.
- Ishii S, Yoshioka K and Morita D: Residual Property of SI-613, a Novel Drug for Osteoarthritis, in Knee Joint. Yakugaku Zasshi: Journal of the Pharmaceutical Society of Japan 2020; 140(9): 1141-1150.
- Wang Z, Li J, Zhang J and Xie X: Sodium tanshinone IIA sulfonate inhibits proliferation, migration, invasion and inflammation in rheumatoid arthritis fibroblast-like synoviocytes. IntImmunopharmacol 2019; 73: 370-378.
- Karami J, Aslani S, Jamshidi A, Garshasbi M and Mahmoudi M: Genetic implications in the pathogenesis of rheumatoid arthritis; an updated review. Gene 2019; 702: 8-16.
- Wiese MD, Manning-Bennett AT and Abuhelwa AY: Investigational IRAK-4 inhibitors for the treatment of rheumatoid arthritis. Expert Opin Investig Drugs 2020; 29(5): 475-482.
- Jarlborg M, Courvoisier DS, Lamacchia C, Martinez Prat L, Mahler M, Bentow C, Finckh A, Gabay C and Nissen MJ: Serum calprotectin: a promising biomarker in rheumatoid arthritis and axial spondyloarthritis. Arthritis Res Ther 2020; 22(1): 105.
- Trofimenko AS, Mozgovaya EE, Bedina SA and Spasov AA: Ambiguities in Neutrophil Extracellular Traps. Ongoing Concepts and Potential Biomarkers for Rheumatoid Arthritis: A Narrative Review. Curr Rheumatol Rev 2021; 17(3): 283-293.
- Zafari P, Rafiei A, Esmaeili SA, Moonesi M and Taghadosi M: Survivin a pivotal antiapoptotic protein in rheumatoid arthritis. J Cell Physiol 2019; 234(12): 21575-21587.
- Taube JM, Roman K, Engle EL, Wang C, Ballesteros-Merino C, Jensen SM, McGuire J, Jiang M, Coltharp C, Remeniuk B, Wistuba I, Locke D, Parra ER, Fox BA, Rimm DL and Hoyt C: Multi-institutional TSA-amplified Multiplexed Immunofluorescence Reproducibility Evaluation (MITRE) Study. J Immunother Cancer 2021; 9(7): 002197.
- Fang Q, Ou J and Nandakumar KS: Autoantibodies as Diagnostic Markers and Mediator of Joint Inflammation in Arthritis. Mediators Inflamm 2019; 2019: 6363086.
- Testa D, Calvacchi S, Petrelli F, Giannini D, Bilia S, Alunno A and Puxeddu I: One year in review 2021: pathogenesis of rheumatoid arthritis. Clin Exp Rheumatol 2021; 39(3): 445-452.
- Cush JJ: Rheumatoid Arthritis: Early Diagnosis and Treatment. Med Clin North Am 2021; 105(2): 355-365.
- England BR, Tiong BK, Bergman MJ, Curtis JR, Kazi S, Mikuls TR, O'Dell JR, Ranganath VK, Limanni A, Suter LG and Michaud K: 2019 Update of the American College of Rheumatology Recommended Rheumatoid Arthritis Disease Activity Measures. Arthritis Care Res (Hoboken) 2019; 71(12): 1540-1555.
- Kumar S, Pangtey G, Gupta R, Rehan H and Gupta L: Assessment of anti-CarP antibodies, disease activity and quality of life in rheumatoid arthritis patients on conventional and biological disease-modifying antirheumatic drugs. Reumatologia/ Rheumatology 2017; 55(1): 12-17.
- Patwardhan A: The Utility and Experience with Disease Biomarkers in Juvenile Onset Arthritis vs Adult Onset Arthritis. Cureus 2019; 11(7): 5131.
- Riccio A, Postiglione L, La Dogana P, Spanò A, Marzocchella C and Tarantino G: Anti-cyclic citrullinated peptide antibodies in patients affected by HCV-related arthritis. Journal of Biological Regulators and Homeostatic Agents 2008; 22(1): 57-61.
- Orr CK, Najm A, Young F, McGarry T, Biniecka M, Fearon U and Veale DJ: The Utility and Limitations of CRP, ESR and DAS28-CRP in Appraising Disease Activity in Rheumatoid Arthritis. Front. Med 2018; 5: 185.
- de Moel EC, Derksen VFAM, Trouw LA, Bang H, Collée G, Lard LR, Ramiro S, Huizinga TWJ, Allaart CF, Toes REM and van der Woude D: In rheumatoid arthritis, changes in autoantibody levels reflect intensity of immunosuppression, not subsequent treatment response. Arthritis Res Ther 2019; 21(1): 28.
- El-Sherif WT, Nigm DA, Abd-Elsamea MH and Kassem AM: Evaluation of Serum Protein 14-3-3η (Eta) as a Novel Biomarker for Rheumatoid Arthritis. Egypt J Immunol 2019; 26(1): 163-175.
- Tar I, Csősz É, Végh E, Lundberg K, Kharlamova N, Soós B, Szekanecz Z and Márton I: Salivary citrullinated proteins in rheumatoid arthritis and associated periodontal disease. Sci Rep 2021; 11(1): 13525.
- Yang X, Thudium CS, Bay-Jensen AC, Karsdal MA, van Santen J, Arden NK, Perry TA and Kluzek S: Association between Markers of Synovial Inflammation, Matrix Turnover and Symptoms in Knee Osteoarthritis: A Cross-Sectional Study. Cells 2021; 10(7): 1826.
- Elsaman AM, Maaty A and Hamed A: Genicular nerve block in rheumatoid arthritis: a randomized clinical trial. ClinRheumatol 2021; 40(11): 4501-4509.
- Rodriguez-Martínez L, Bang H, Regueiro C, Nuño L, Triguero-Martinez A, Peiteado D, Ortiz AM, Villalba A, Martinez-Feito A, Balsa A, Gonzalez-Alvaro I and Gonzalez A: Improved classification of rheumatoid arthritis with a score including anti-acetylated ornithine antibodies. Sci Rep 2020; 10(1): 19263.
- Lee YH and Bae SC: Diagnostic accuracy of anti-Sa and anti-RA33 antibodies in rheumatoid arthritis: a meta-analysis. Z Rheumatol 2017; 76(6): 535-538.
- Kim JR, Jo JH, Chung JW and Park JW: Antinuclear antibody and rheumatoid factor positivity in temporomandibular disorders. Head Face Med 2018; 14(1): 26.
How to cite this article:
Talukder A, Chetia P, Neog N, Chutia P and Sahariah BJ: Potential biomarkers of rheumatoid arthritis as a tool for research and development of new drug molecule: a review. Int J Pharm Sci & Res 2023; 14(7): 3272-80. doi: 10.13040/IJPSR.0975-8232.14(7).3272-80.
All © 2023 are reserved by International Journal of Pharmaceutical Sciences and Research. This Journal licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Article Information
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3272-3280
526 KB
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English
IJPSR
Abhijita Talukder, Purbajit Chetia *, Nayanika Neog, Priyakshi Chutia and Bhargab Jyoti Sahariah
NETES Institute of Pharmaceutical Science, Mirza, Guwahati, Assam, India.
purbajit.chetia@gmail.com
14 October 2022
22 December 2022
28 December 2022
10.13040/IJPSR.0975-8232.14(7).3272-80
01 July 2023