Search For a Biomarker For The Diagnosis And
Prognosis of Rheumatoid Arthritis
Prasanth G, Sunil Rao Padmaraj, Vijayakumar T & Riju Mathew
Abstract
Rheumatoid Arthritis (RA) is one of the commonest systemic autoimmune disease. Diagnosis of Rheumatoid Arthritis is based on the detection of
Rheumatoid factor (RF) and Anti cyclic citrullinated peptide Antibody (ACCP) .But these markers have limited use in predicting the prognosis of the
disease. Hematological and Inflammatory markers are indicators of disease activity .Correlation of the various biomarkers would be beneficial in
effective treatment and management of the condition .An attempt is being made to correlate the conventional markers like RF and ACCP with the
newer marker Anti Sa Antibody (Anti Sa) and hematological parameters such as Hemoglobin (Hb) , Red cell Distribution Width (RDW) and
Erythrocyte Sedimentation Rate (ESR).It was observed that these parameters together serve as better biomarkers for the diagnosis and prognosis of
RA.
Index terms
Rheumatoid Arthritis, Anti Sa Antibody, Anti cyclic citrullinated peptide (ACCP), Rheumatoid factor(RF), Chemiluminescence microparticle
Immunoassay (CMIA) ,Immunonephelometry,Red cell distribution width (RDW),Erythrocyte sedimentation rate (ESR),haemoglobin (Hb)
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Introduction
Rheumatoid arthritis is one of the commonest
autoimmune disorders affecting the joints causing mild
inflammation to serious complications. Detection of
Rheumatoid factor was considered as the diagnostic tool
until the more specific markers like cyclic citrullinated
peptide antibodies(ACCP) were discovered
1,2
. ACCP is
now considered as one of the very specific marker for RA.
But most of these markers has very poor prognostic value
and often present in detectable amounts even after
appropriate treatment and management
3
. Recently, a new
immunological marker Anti Sa was discovered which has
very high specificity for RA with relatively low sensitivity
when compared to RF & ACCP
4
. There are studies which
highlights the prognostic significance of Anti Sa especially
in the diagnosis and management of cases of erosive
arthritis
5
. Hematological abnormalities especially high
ESR and increased levels of inflammatory markers like C
Reactive protein (CRP) and fibrinogen is also associated
with RA.
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x Prasanth.G is currently pursuing PhD degree program at Yenepoya
University: Email prasanthg4u@gmail.com
x Dr Sunil rao Padmaraj is currently,Professor , Research guide & HOD
Microbiology at Yenepoya University
x Dr Vijayakumar T isProfessor,Research guide &Chief of Basic Medical
Sciences at Educare Institute of dental Sciences
x Riju Mathew is currently pursuing PhD degree program at Yenepoya
University:
There are studies indicating a positive correlation between
RDW ,ESR & CRP in Rheumatoid Arthritis
6,7
. Anemia is
also considered to be factor leading to low haemoglobin
concentrations which in turn could affect the red cell
distribution width
8
.As none of these markers individually
is found useful in diagnosis and prognosis, the present
study was undertaken to evaluate the conventional and
new biomarkers in Rheumatoid Arthritis patients.
Materials and Methods
The study was carried out at Educare Institute of Dental
Sciences.
Twenty clinically proven cases of RA as per American
college of Rheumatology (ACR) criteria form the test
group. Twenty age and sex matched subjects selected from
the siblings and the staff of the hospital form the control
group. None of the patients were suffering from any
disease other than RA while the control subjects had no
chronic or acute illness, autoimmune disease and was not
on any medication. Blood samples were collected from all
the subjects after obtaining their informed consent and the
following investigations were carried out. Haemoglobin &
RDW using Sysmex KX 21 analyser,ESR by Westergrens
method RF, by Immunonephelometry on Siemens BN
Prospec analyzer, Anti CCP on Abbott Architect
Chemiluminescence microparticle Immunoassay analyzer
and Anti Sa by Euroimmun ELISA.
The results were analysed using Minitab & SPSS statistical
software.
International Journal of Scientific & Engineering Research, Volume 5, Issue 2, February-2014
ISSN 2229-5518 72
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