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Research Article A Comparison of Anti-Nuclear Antibody Quantification Using Automated Enzyme Immunoassays and Immunofluorescence Assays Renata Baronaite, 1,2 Merete Engelhart, 2 Troels Mørk Hansen, 2 Gorm Thamsborg, 3 Hanne Slott Jensen, 2 Steen Stender, 1 and Pal Bela Szecsi 1 1 Department of Clinical Biochemistry, Gentoſte Hospital, University of Copenhagen, 2900 Hellerup, Denmark 2 Department of Rheumatology, Gentoſte Hospital, University of Copenhagen, 2900 Hellerup, Denmark 3 Department of Rheumatology, Glostrup Hospital, University of Copenhagen, 2600 Glostrup, Denmark Correspondence should be addressed to Pal Bela Szecsi; [email protected] Received 24 September 2013; Revised 26 November 2013; Accepted 15 December 2013; Published 28 January 2014 Academic Editor: I. R. Mackay Copyright © 2014 Renata Baronaite et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Anti-nuclear antibodies (ANA) have traditionally been evaluated using indirect fluorescence assays (IFA) with HEp-2 cells. Quantitative immunoassays (EIA) have replaced the use of HEp-2 cells in some laboratories. Here, we evaluated ANA in 400 consecutive and unselected routinely referred patients using IFA and automated EIA techniques. e IFA results generated by two independent laboratories were compared with the EIA results from antibodies against double-stranded DNA (dsDNA), from ANA screening, and from tests of the seven included subantigens. e final IFA and EIA results for 386 unique patients were compared. e majority of the results were the same between the two methods ( = 325, 84%); however, 8% ( = 30) yielded equivocal results (equivocal-negative and equivocal-positive) and 8% ( = 31) yielded divergent results (positive-negative). e results showed fairly good agreement, with Cohen’s kappa value of 0.30 (95% confidence interval (CI) = 0.14–0.46), which decreased to 0.23 (95% CI = 0.06–0.40) when the results for dsDNA were omitted. e EIA method was less reliable for assessing nuclear and speckled reactivity patterns, whereas the IFA method presented difficulties detecting dsDNA and Ro activity. e automated EIA method was performed in a similar way to the conventional IFA method using HEp-2 cells; thus, automated EIA may be used as a screening test. 1. Introduction Visual inspection via indirect immunofluorescence micros- copy has been the gold standard for detecting anti-nuclear antibodies (ANA) since their discovery more than 50 years ago [1, 2], and this method continues to be performed virtually with no modifications. Rodent tissue (stomach, liver, and/or kidney) was used as a substrate in early ANA testing but was subsequently replaced by the human epithelial-like cell line HEp-2 (HEp-2). Some laboratories have replaced HEp-2 cells with commercial cells (HEp-2000 cells) that overexpress Sj¨ ogren’s Syndrome A antigen/small ribonucleoprotein particle (SSA/Ro) because HEp-2 cells lack sensitivity for the detection of the SSA/Ro antigens [3]. e intensity and staining patterns of antibodies that bind to cellular components allow a skilled observer to distinguish between numerous nuclear staining patterns: homogeneous, speckled, nuclear membranous, centromeric, nuclear dot, pleomorphic, SSA/Ro-positive, and other mixed or atypical patterns [4]. e IFA method is influenced by cell type, fixation procedure, dilution of patient serum, inspection time, day-to-day performance, experience level of the microscopist, and the microscope itself [5, 6]. Although the presence of ANA is associated with various rheumatic and nonrheumatic diseases, its highest sensitivity lies in identifying cases of systemic lupus erythematosus (SLE) (93– 95%), systemic sclerosis (85%), juvenile idiopathic arthritis (61–80%), Sj¨ ogren’s syndrome (48%), and mixed connective Hindawi Publishing Corporation Autoimmune Diseases Volume 2014, Article ID 534759, 8 pages http://dx.doi.org/10.1155/2014/534759

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Page 1: Research Article A Comparison of Anti-Nuclear Antibody …downloads.hindawi.com/journals/ad/2014/534759.pdf · 2019-07-31 · Research Article A Comparison of Anti-Nuclear Antibody

Research ArticleA Comparison of Anti-Nuclear AntibodyQuantification Using Automated Enzyme Immunoassaysand Immunofluorescence Assays

Renata Baronaite,1,2 Merete Engelhart,2 Troels Mørk Hansen,2 Gorm Thamsborg,3

Hanne Slott Jensen,2 Steen Stender,1 and Pal Bela Szecsi1

1 Department of Clinical Biochemistry, Gentofte Hospital, University of Copenhagen, 2900 Hellerup, Denmark2Department of Rheumatology, Gentofte Hospital, University of Copenhagen, 2900 Hellerup, Denmark3Department of Rheumatology, Glostrup Hospital, University of Copenhagen, 2600 Glostrup, Denmark

Correspondence should be addressed to Pal Bela Szecsi; [email protected]

Received 24 September 2013; Revised 26 November 2013; Accepted 15 December 2013; Published 28 January 2014

Academic Editor: I. R. Mackay

Copyright © 2014 Renata Baronaite et al. This is an open access article distributed under the Creative Commons AttributionLicense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properlycited.

Anti-nuclear antibodies (ANA) have traditionally been evaluated using indirect fluorescence assays (IFA) with HEp-2 cells.Quantitative immunoassays (EIA) have replaced the use of HEp-2 cells in some laboratories. Here, we evaluated ANA in 400consecutive and unselected routinely referred patients using IFA and automated EIA techniques. The IFA results generated by twoindependent laboratories were compared with the EIA results from antibodies against double-stranded DNA (dsDNA), from ANAscreening, and from tests of the seven included subantigens. The final IFA and EIA results for 386 unique patients were compared.Themajority of the results were the same between the two methods (𝑛 = 325, 84%); however, 8% (𝑛 = 30) yielded equivocal results(equivocal-negative and equivocal-positive) and 8% (𝑛 = 31) yielded divergent results (positive-negative). The results showedfairly good agreement, with Cohen’s kappa value of 0.30 (95% confidence interval (CI) = 0.14–0.46), which decreased to 0.23 (95%CI = 0.06–0.40) when the results for dsDNA were omitted. The EIA method was less reliable for assessing nuclear and speckledreactivity patterns, whereas the IFA method presented difficulties detecting dsDNA and Ro activity. The automated EIA methodwas performed in a similar way to the conventional IFAmethod using HEp-2 cells; thus, automated EIAmay be used as a screeningtest.

1. Introduction

Visual inspection via indirect immunofluorescence micros-copy has been the gold standard for detecting anti-nuclearantibodies (ANA) since their discovery more than 50 yearsago [1, 2], and this method continues to be performedvirtually with no modifications. Rodent tissue (stomach,liver, and/or kidney) was used as a substrate in earlyANA testing but was subsequently replaced by the humanepithelial-like cell line HEp-2 (HEp-2). Some laboratorieshave replaced HEp-2 cells with commercial cells (HEp-2000cells) that overexpress Sjogren’s Syndrome A antigen/smallribonucleoprotein particle (SSA/Ro) because HEp-2 cellslack sensitivity for the detection of the SSA/Ro antigens

[3]. The intensity and staining patterns of antibodies thatbind to cellular components allow a skilled observer todistinguish between numerous nuclear staining patterns:homogeneous, speckled, nuclear membranous, centromeric,nuclear dot, pleomorphic, SSA/Ro-positive, and other mixedor atypical patterns [4]. The IFA method is influenced bycell type, fixation procedure, dilution of patient serum,inspection time, day-to-day performance, experience level ofthe microscopist, and the microscope itself [5, 6]. Althoughthe presence of ANA is associated with various rheumaticand nonrheumatic diseases, its highest sensitivity lies inidentifying cases of systemic lupus erythematosus (SLE) (93–95%), systemic sclerosis (85%), juvenile idiopathic arthritis(61–80%), Sjogren’s syndrome (48%), and mixed connective

Hindawi Publishing CorporationAutoimmune DiseasesVolume 2014, Article ID 534759, 8 pageshttp://dx.doi.org/10.1155/2014/534759

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2 Autoimmune Diseases

tissue disease (MCTD). ANA is also apparent in otherautoimmune diseases and various nonrheumatologic con-ditions [4, 7–10]. Furthermore, a low ANA titer (1 : 40) ispresent in up to 32% of healthy individuals, whereas 3–5%exhibit a higher titer (1 : 160–1 : 320) [7]. The commercialavailability of standardized kits has made IFA tests superiorcompared with homemade preparations. However, such kitsremain at best only semiquantitative and cumbersome toperform despite attempts to automate IFA techniques [6, 8].Several ANA antigens have been identified, and quantitativeenzyme immunoassays (EIA) have been developed usingeither purified extracts or recombinant antigens. Most of theearly manual EIA techniques have been widely replaced byautomated versions. These newer methods are amenable tomodern laboratories with high-throughput platforms, andthey provide quantitative, reproducible results with minimalhands-on time and require less operator skill. In contrastto classical IFA methods using HEp-2 cells, which containseveral hundred different antigens, the reactivity of EIAmethods is limited to the relatively few individual antigensincluded in the assays. Although this factor may reduce EIAreactivity to some relevant antigens, it could also diminishreactivity toward irrelevant antigens.

Much of our experience with the clinical utility of ANA isbased on standard IFAmethodology.Thus, some reservationsexist among clinicians as to whether EIAmethods can replaceconventional HEp-2 IFA techniques [1, 11, 12]. In this study,we compared conventional IFA with automated EIA forevaluating blood samples from 400 consecutive patients whowere referred for routine ANA testing.

2. Materials and Methods

2.1. Patients. Between August and November 2007, serumsamples were collected from 400 consecutive patients whowere referred for routine ANA testing from hospital wardsand outpatient clinics at three hospitals in the Copenhagensuburbs (Gentofte, Herlev, andGlostrupHospitals). Informa-tion on the patients’ age, sex, diagnosis, disease status, andany medications was collected one year after the ANA test-ing (registered anonymously). The study was conducted inaccordance with the principles of the Declaration of Helsinki,but it was not considered a bioethics project according tothe definition of the Danish Act on the Bioethics CommitteeSystem and the Processing of Bioethics Projects. Thus, noapplication for a review was submitted, and written informedconsent was not obtained.The Danish Bioethics Committeesfor the Capital Region have approved the classification of thisstudy.

2.2. Assays. An analytical flowchart for this study is shown inFigure 1. IFA was performed by incubating a 1 : 160 dilutionof serum with HEp-2000 cells, which overexpress the 60-kDa SSA/Ro antigen [3], according to the manufacturer’sprotocol (Immuno Concepts, Sacramento, CA, USA). Incases of positive or ambiguous results from the primarylaboratory, the sampleswere reanalyzed and titrated blindly ata secondary laboratory (Statens Serum Institut, Copenhagen,

Denmark) using the same IFA assay. Automated EIA forANA (Symphony, a mixture of the following seven subanti-gens: purified recombinant SmD; SSA/Ro (52- and 60-kDa);SSB/La; Scl-70; CENP-B; U1RNP (RNP70, A, C); and Jo-1 proteins) and anti-dsDNA measurements were performedusing EliA reagents and a UniCAP 100 instrument (Pha-dia, Freiburg, Germany). All antibody levels were classifiedaccording to the manufacturer’s recommendations: anti-dsDNA < 10 IU/mL was considered negative, >15 IU/mLwas positive, and 10–15 IU/mL was equivocal; and an ANASymphony test sample to calibrator ratio < 0.7 was negative,>1.0 was positive, and =0.7–1.0 was equivocal. Samples witha positive or equivocal Symphony result were reflex-testedby analyzing their individual reactivity to each of the sevensubantigens included in the screening test. CENP-B, Jo-1,SSA/Ro, SSB/La, and Scl-70 levels < 7.0U/mL and U1RNPand SmD levels < 5.0U/mL were considered to be negative.CENP-B, Jo-1, SSA/Ro, SSB/La, and Scl-70 levels between 7.0and 10.0U/mL and U1RNP and SmD levels between 5.0 and10.0U/mL were considered equivocal. The final, combinedEIA results (negative, equivocal, and positive) were derivedfrom the data from the anti-dsDNA, ANA Symphony, andseven individual subantigen tests. The IFA results (negative,equivocal, and positive) were based on the data obtainedfrom both the primary and the secondary laboratories. Forthe 14 patient serum samples that were tested in dupli-cate, only the results obtained from the first replicate wereused.

2.3. Statistics. The VassarStats calculator (Vassar College,Poughkeepsie, NY, USA) was used to calculate the agree-ment between tests using Cohen’s unweighted kappa withconfidence intervals. A Kappa statistic < 0.2 was consideredto indicate a “poor” strength of agreement; 0.21–0.40 was“fair,” 0.41–0.60 was “moderate,” 0.61–0.80 was “good,” and>0.8 was “very good” [13]. All the other data analyses wereperformed using SPSS, release 20.0 (IBM, Armonk, NY,USA).

3. Results

The study population consisted of 241 females with a meanage of 52.4 years (range: 3–92) and 145 males with a mean ageof 52.2 years (range: 1–89).The diagnoses are listed in Table 1.

The median anti-dsDNA level was 1.7 IU/mL, with a90% interpercentile range of 0.6–11.1. A total of 365 samples(94.6%) were found to be anti-dsDNA-negative, six (1.6%)were equivocal, and 15 (3.9%) were positive. The femalepatients exhibited a statistically nonsignificant trend towardhigher anti-dsDNA values (mean: 5.3 versus 2.4 IU/mL).Four of the 28 Symphony-positive serum samples were alsopositive for anti-dsDNA.

The primary laboratory generally reported weak, homog-enous results that were found to be negative in the sec-ondary laboratory (Table 2). Nonetheless, the 76 samplesanalyzed via IFA at both the primary and secondary labo-ratories exhibited moderately good agreement, with Cohen’sunweighted kappa value of 0.45 (95% CI = 0.28–0.62).

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Autoimmune Diseases 3

IFAprimary lab

386)

400)

334NEG365NEG

21EQV31POS

343NEG15EQV28POS

342NEG

36POS

15POS

45NEG31POS

IFAsecondary lab

76)

ANA requestconsecutive

dsDNA EIA386)

Combined EIA386)

Doubletsdischarged

14)

386)

7 subtypesEIA44)

6EQV

8EQV

SymphonyANA EIA

16NEG3EQV25POS

Analytical flowchart

(n =

(n =

(n =

(n =

(n = (n =

(n =

(n =

Figure 1: Analytical flowchart. EIA with a combination of dsDNA, ANA Symphony, and the 7 subantigens (SmD, U1RNP, SSA/Ro, SSB/La,Scl-70, CENP-B, and Jo-1) is referred to as “Combined EIA.” IFA tests were performed at a primary laboratory (Gentofte Hospital) and asecondary laboratory (Statens Serum Institut). NEG: negative, EQV: equivocal, POS: positive, and ND: not determined.

The final assessments of the 386 samples obtained viaEIA (the combined anti-dsDNA, Symphony, and seven sub-antigen results) and via IFA (the combined results fromthe primary and secondary laboratories) were compared(Table 3). The majority of the results were in agreement (𝑛 =325, 84%), whereas 8% (𝑛 = 30) yielded equivocal results(equivocal-negative and equivocal-positive) and 8% (𝑛 = 31)yielded divergent results (positive-negative) (Table 4). Theresults exhibited fairly good agreement, with a Cohen’s kappavalue of 0.30 (95% CI = 0.14–0.46). The kappa valuedecreased to 0.23 (95% CI = 0.06–0.40) when the results ofthe anti-dsDNA analyses were omitted from the calculationdespite the few solitary reactions for dsDNA.

Of the 333 samples that were negative using IFA, 24were found to be reactive with EIA (anti-dsDNA and/orSymphony) without a clear pattern. However, the IFA testingmissed several positive samples with significant anti-dsDNAreactivity via EIA screening. Furthermore, the IFA exhibiteddecreased reliability for detecting Ro reactivity, either aloneor in combination with the other antigens. In contrast, theIFA method detected 14 positive and 19 equivocal samplesthat were negative when screened using the EIA method.Although most of these IFA reactions were weak, six ofthe samples had clear nuclear reactivity and four had clearspeckled reactivity.

The IFA and EIA results for patients with SLE orMCTD exhibited fair agreement, and the results for patientswith scleroderma demonstrated good agreement. The IFAproduced equivocal results for rheumatoid arthritis (RA)patients, primarily due to weak, homogeneous IFA reactionsat the primary laboratory and negative reactions in bothEIA and IFA methods at the secondary laboratory. The serafrom an unexpectedly large proportion (3/12) of patients with

osteoporosis reacted positively in EIA and/or IFA, and two ofthese cases were Ro-positive.

Of the 388 samples evaluated, 36 were positive for ANAusing EIA, and 11 of these were solely reactive to anti-dsDNA. A total of 30 samples reacted positively using IFA,and 15 of these also reacted positively in the EIA tests. Onlyone of the samples that reacted positively using both IFAand EIA exhibited anti-dsDNA reactivity, and the degreeof reactivity was borderline. Among the patients diagnosedwith ANA-associated disease, 23% (16/70) had positive EIAresults (two samples had equivocal results) and 24% (17/70)had positive IFA results (two samples had equivocal results).Seven patients with nonANA-associated rheumatic diseasereacted positively in both EIA and IFA, and 12 samplesshowed equivocal results via IFA compared with only twovia EIA. Both the EIA and IFA methods yielded positiveresults in four of the eight patients with SLE (in three cases,both tests were positive). The EIA-negative and IFA-positivesamples exhibited a nuclear staining pattern via IFA at a titerof 1 : 160, and the IFA-negative and EIA-positive samples hadrelatively high reactivity to both dsDNA (38 IU/mL) and Ro(38.2U/mL). Both assays yielded negative results in threecases, one of which represented an overlapping syndromewith MCTD. Of the three patients with undifferentiatedconnective tissue disease (UCTD), all reacted positively viaIFA (high-titer speckled patterns in two cases and a high-titerhomogeneous pattern in one case), whereas only one casereacted positively in the EIA tests (U1RNP and SmD). Of theremaining two cases, only one exhibited weak anti-dsDNAreactivity. Out of eight patients with juvenile RA, only onehad a positive IFA result (a speckled pattern at a titer > 1,280),whereas that patient’s EIA result was negative. Of the 48 adultcases of RA, four and three reacted positively via EIA and

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4 Autoimmune Diseases

Table 1: Clinical diagnoses and results of EIA and IFA. The combined results of anti-dsDNA, ANA screening, and the seven individualantigens are referred to as “EIA-combined.” The IFA classification was based on the results from the primary laboratory and (if performed)from the secondary laboratory.

Diagnosis dsDNA EIA ANA screen EIA EIA-combined IFANEG EQV POS NEG EQV POS NEG EQV POS NEG EQV POS

ANA-associated disease (𝑛 = 44, 18%) 38 2 4 26 2 16 28 1 15 28 2 14SLE (𝑛 = 8) 5 3 4 1 3 4 4 4 4Juvenile RA (𝑛 = 8) 8 7 1 8 6 1 1Raynaud (𝑛 = 5) 5 2 3 3 2 4Vasculitis (𝑛 = 5) 5 4 1 5 5Autoimmune hepatitis (𝑛 = 4) 3 1 2 2 2 2 3 1Dermatomyositis/polymyositis (𝑛 = 3) 3 3 3 3Scleroderma (𝑛 = 3) 3 1 2 1 2 1 2UCTD (𝑛 = 3) 2 1 2 1 1 1 1 3MCTD (𝑛 = 3) 2 1 3 3 3Discoid lupus (𝑛 = 2) 2 1 1 1 1 2

Non-ANA-associated disease (𝑛 = 157, 46%) 150 2 5 149 5 3 149 2 7 137 12 8Rheumatoid arthritis (𝑛 = 48) 46 2 44 2 2 44 4 36 9 3Back pain (𝑛 = 36) 34 2 34 2 34 2 35 1Arthritis (𝑛 = 34) 32 1 1 32 1 1 32 1 1 29 1 4Osteoarthrosis (𝑛 = 13) 13 13 13 13Polymyalgia rheumatica (𝑛 = 11) 10 1 11 10 1 10 1Arthralgia/myalgia (𝑛 = 7) 7 7 7 7Ankylosing spondylitis (𝑛 = 5) 5 5 5 4 1Giant cell arthritis (𝑛 = 3) 3 3 3 3

Other diseases (𝑛 = 185, 36%) 177 2 6 168 8 9 166 5 14 169 8 8Neurological disorder (𝑛 = 58) 53 56 2 52 1 5 56 2Miscellaneous (𝑛 = 50) 50 44 3 3 46 1 3 43 4 3Malignancy (𝑛 = 13) 13 12 1 12 13Renal disorder (𝑛 = 12) 11 1 12 11 1 12Osteoporosis (𝑛 = 12) 11 1 9 1 2 9 1 2 9 1 2Inflammatory bowel disease (𝑛 = 10) 10 10 10 9 1Infection (𝑛 = 10) 10 10 10 9Liver disease (𝑛 = 9) 8 1 8 1 8 1 9Vitamin D deficiency (𝑛 = 5) 5 1 4 2 3 3 1 1Lung disease (𝑛 = 4) 4 4 4 4Endocrine disorder (𝑛 = 2) 2 2 2 2

All (𝑛 = 386) 365 6 15 343 15 28 342 8 36 334 22 30

NEG: negative; EQV: equivocal; and POS: positive; MCTD: mixed connective tissue disease; RA: rheumatoid arthritis; SLE: systemic lupus erythematosus; andUCTD: undifferentiated connective tissue disease.

IFA, respectively. Both EIA and IFA yielded positive results inall three MCTD patients. All of these patients had high anti-U1RNP titers; one reacted positively to Ro, and one exhibitedpositive anti-SmD and anti-dsDNA reactivity. In these cases,the IFA pattern was observed at a high titer (>1 : 1,280) andwas speckled or homogenous. Both the IFA and EIA resultswere negative for the single dermatomyositis patient and thetwo polymyositis patients.

Among the 316 patients without ANA-associated disease,33 exhibited positive ANA reactivity (IFA, EIA, or both) withno obvious pattern. Among the 56 RA patients, four testedpositive via EIA and four via IFA, with a single overlap.

However, nine RA patients received weak, equivocal resultsvia IFA.

There were unexpectedly large proportions of ANA-positive results among the patients with osteoporosis (3/12),vitamin D deficiency (3/5), and optic neuritis (3/13). Opticneuritis patients tested positive for anti-dsDNA only viaEIA, whereas vitamin D-deficient patients showed reac-tivity to Ro and CENP-B via EIA and strongly speckledreactivity via IFA. The osteoporotic patients showed anti-dsDNA and anti-Ro reactivity via EIA; however, their IFAresults included predominantly speckled and homogenouspatterns.

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Autoimmune Diseases 5

Table 2: Comparison of the immunofluorescence patterns and titers of HEp-2000 ANA testing at two independent laboratories.

Secondary laboratory NEG POS? CEN? CEN HOM+ HOM NUC? NUC and HOM NUC SPE? SPE+ SPE MITNEG 22 3 1 11 3 2 2 1CEN > 1280 1CEN > 1280 and MEM 1CEN > 1280 and SPE > 1280 1HOM+ 1HOM > 1280 2HOM > 1280 and SPE > 1280 1HOM 1280 1HOM 160 1NUC++ 1NUC 160 1 1 2NUC 320 1NUC 320 and SPE 160 1NUC 640 1 1 1SPE 320 1SPE 1SPE > 1280 8SPE+++ 1MIT > 1280 1Primary laboratory: Gentofte Hospital, and secondary laboratory: Statens Serum Institut; NEG: negative; POS: positive; CEN: centromere; HOM:homogeneous; NUC: nuclear; SPE: speckled; MIT: mitochondria; ?: uncertain reaction; +: weak reaction; ++: intermediate reaction, and +++: strong reaction.Underlining and bold font indicate agreement, italics indicate acceptable agreement, and double underlining indicates disagreement.

Table 3: Comparison of immunofluorescence patterns and titers betweenHEp-2000 immunofluorescence (ImmunoConcept) and combinedANA immunoassays (Phadia). The combined EIA results from dsDNA, ANA Symphony, and the 7 subantigens (SmD, U1RNP, SSA/Ro,SSB/La, Scl-70, CENP-B, and Jo-1) are shown.

EIA-combined NEG POS? CEN? CEN HOM+ HOM NUC? NUC and HOM NUC SPE? SPE+ SPE MITNEG 308 1 12 5 1 1 6 1 2 3 1CENP-B 2dsDNA 7 1 1 2dsDNA 4 1dsDNA, SSA/Ro 1dsDNA, SSA/Ro 1 1dsDNA, La, SSA/Ro 1dsDNA, RnpU1, SmD, SSA/Ro 1SSB/La 1SSB/La, SSA/Ro 1 1SSB/La, SSA/Ro, CENP-B 1RnpU1 2 1 2RnpU1 2RnpU1, SSA/Ro 1RnpU1, SmD 1SSA/Ro 4 1SSA/Ro, CENP-B 1Scl-70 1SmD 1Primary laboratory: Gentofte Hospital; NEG: negative; POS: positive; CEN: centromere; HOM: homogeneous; NUC: nuclear; SPE: speckled; MIT:mitochondria; ?: uncertain reaction; +: weak reaction; ++: intermediate reaction, and +++: strong reaction. Underlining and bold font indicate agreement,italics indicate acceptable agreement, and double underlining indicates disagreement.

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6 Autoimmune Diseases

Table 4: Comparison between combined ANA immunoassay (Pha-dia) and HEp-2000 cell immunofluorescence (Immuno Concept).The combined results of dsDNA,ANASymphony, and the 7 subanti-gens constituted the EIA-combined assay, and the combined resultsof IFA using HEp-2000 cells from two laboratories constituted theHEp-2000-combined assay. The results of the immunoassays wereconsidered equivocal if the anti-dsDNA levels were between 10–15 IU/mL or if the Symphony results were between 0.7–1.0; however,the 7 subantigen results overruled those of the Symphony. TheHEp-2000 results were considered equivocal if the two laboratories’results were discordant. The degree of agreement was fair (Kappastatistic = 0.29).

EIA-combined IFA-combinedNEG EQV POS Total

NEG 310 18 14 342EQV 7 0 1 8POS 17 4 15 36Total 334 22 30 388

4. Discussion

Our results demonstrate that at best using HEp-2000 cellsas a substrate for IFA ANA testing only improves upon theinsufficient sensitivity of SSA/Ro antibodies; this method stillfails to detect even the extremely high antibody levels thatare detected using the specific Ro EIA (Table 3). Both thescreening and the solitary SSA/Ro EIA methods employ amixture of the 52- and 60-kDa Ro protein isoforms; thus,they cannot identify reactivity toward a single Ro isoform,which might be clinically useful. Our data also illustratethe difficulties in reproducing IFA results, which have beenpreviously observed by others [14].The analyses of 76 samplesat both the primary and secondary laboratories producedonly a moderately good agreement (Table 2). Notably, bothlaboratories used identical commercial assay systems; allthe factors except the microscopist were eliminated. Aneven lower degree of agreement could be expected amonglaboratories that use different methods [15].

However, there were weaknesses in this study that shouldbe addressed. First, IFA was not performed at the secondarylaboratory in all cases. Most of the samples with negativeresults at the primary laboratory were not validated further,which may have resulted in an under- or overestimation ofthe degree of agreement. However, because only one of the23 negative samples analyzed at the primary laboratory wasfound to be positive at the second laboratory, the overallconclusion is likely to stand. Second, relatively few patientswith ANA-associated disease (𝑛 = 44) were evaluated; thus,predictive values cannot be calculated for individuals withthis disease.

Taken together, our results are consistent with previousreports of similar findings using EIA [16–18]. Fenger et al.compared the results for three selected populations evaluatedusing IFA and seven different EIA methods [18], but theyevaluated anti-dsDNA and Symphony reactivity separately.Notably, the authors did not test for the individual antigenswhen the screening test revealed positive or equivocal results.

However, they found a degree of agreement between EIA andIFA tests that was comparable to our results, although thePhadia tests exhibited similar specificity but lower sensitivitycompared with the other assays.

Other groups have produced results similar to ours whencomparing a combination of Phadia Symphony EIA screen-ing and anti-dsDNA testing with IFA; however, their per-formance when testing sera from SLE patients was relativelylower [17]. We did not observe significant differences amongthe relatively few SLE cases in our study, although neither EIAnor IFA identified all the relevant patients. However, othergroups have found that IFA and EIA exhibited satisfactoryspecificity and sensitivity for assessing SLE patients, albeitwith somewhat variable levels of agreement [19–22].

Bizzaro et al. compared the findings of 16 manufacturersand two university laboratories, which used different meth-ods to analyze sera from 11 autoimmune patients [21]. Theoverall agreement, independent of method, was relativelygood for ANA (95.5%) and was somewhat lower for anti-dsDNA (85.2%). However, considerable variation betweenthe different methods was observed for both IFA and EIA.The IFA results revealed variability in both titer and pattern,and the EIA results showed variability in specificity forindividual antigens. In all cases, the EIA results were ata low, borderline cut-off level. In agreement with theseobservations, a multicenter evaluation of nine EIA kits couldnot clearly demonstrate that one assay was superior to theothers [23], particularly for anti-dsDNA and SmD antigendetection, although the newer versions yielded improvedperformance.

HEp-2 cells contain several hundred antigens; therefore,IFA should be the ultimate multiplexing screening assay andshould be principally similar to the Phadia Symphony andother EIA kits. However, some of the antigens in HEp-2 cellsare not relevant to autoimmune diseases, whereas other morerelevant antigens are present in only minor amounts.

Although IFA can compensate for some of these limita-tions via pattern recognition and titer determination, EIA canonly reveal reactivity toward the limited number of antigensincluded in the test by using amore standardized quantitativemethod.

Phadia has introduced a new screening assay that evalu-ates 17 antigens (the EliA CTD Screen), but some authors stillconsider the sensitivity of this assay to be insufficient, espe-cially for assessing anti-fibrillin and anti-RNA polymeraseIII reactivity [20]. Op de Beeck et al. recently compared theCTD assay against an IFA method with a HEp-2000 sub-strate, using samples from autoimmune and chronic fatiguepatients, blood donors, and disease control patients [24].They found that the CTD assay yielded high specificity butwith limited sensitivity. Furthermore, an excessive numberof samples required additional testing with all the individualantigens. These shortcomings could be attributed to theinclusion of a dsDNA antigen in the CTD screening assayand to an overabundance of conjugated antigens on a singlesurface, resulting in dilution of specific, individual signals.As the clinical usefulness of rarer IFA patterns is established,these antigens may be included in future EIA methods [2].One of these antigens might be the dense fine speckles

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Autoimmune Diseases 7

70 antigen (DFS70), which is associated with a dense finespeckled pattern in IFA that has promising discriminatoryproperties in systemic autoimmune diseases [25]. However,we did not observe any patients with this pattern in thepresent study, and this antigen was not included in ourEIA method. A positive dense fine speckled pattern did notreceive a separate classification, and positive sera may havebeen classified as simple speckled.

Weak positive reactions are less likely to yield concordantresults between IFA and EIA techniques, as illustrated inTable 4. A two-step serial titration of positive IFA resultsallows for some degree of quantization.However, EIAdirectlyprovides quantitative results, simplifying the interpretation ofclinically doubtful borderline reactions.

Newer methods, such as suspension arrays, simulta-neously allow for multiplexing and the direct individualquantification of numerous antigens. Several companies havedeveloped these assays, and their overall results correlatewell with each other [19, 26–29]. A comparison between amultiplex assay with nine antigens and ELISA revealed 99%and 94.7% agreement in a cohort of 37 Sjogren’s syndromepatients and 96 healthy controls, respectively [19]. However,a study comparing IFA against a fully automated multiplexassay with 13 antigens [29] revealed a discrepancy thatwas likely due to the choice of antigens and absence ofstandardization. The authors reported a kappa coefficientagreement of 0.31 when using IFA to assess an unselectedhospital cohort of 1,004 patients; in comparison, an anti-dsDNA EIA yielded a kappa coefficient of agreement of 0.66.

5. Conclusions

In conclusion, quantitative EIA-based ANA techniques per-form as well as (or as poorly as) IFA-based ANA techniques.The EIA methods appear to have limitations identifyingnuclear and some speckled ANA reactivity, whereas the IFAtechniques exhibit a limited detection of antibodies againstdsDNA and SSA/Ro. The two methods are not equivalent,and both will likely produce false-negative or false-positivereactions in some cases. However, it is not clear whether thesedifferences are clinically relevant. Quantitative automatedsystems for ANA screening could be used for primary screen-ing. When more relevant antigens are identified, evaluated,and subsequently included into new EIA techniques, the useof classical IFA may diminish further.

Abbreviations

ANA: Anti-nuclear antibodiesCENP-B: Centromere protein BCI: Confidence intervalDFS70: Dense fine speckles 70 antigendsDNA: Double-stranded DNAEIA: Enzyme immunoassayELISA: Enzyme-linked immunosorbent assayHEp-2: Human epidermoid cancer cellsIFA: Indirect immunofluorescence assayJo-1: Histidyl-t-RNA synthetase

MCTD: Mixed connective tissue diseaseRNP70 A, C: Small nuclear ribonucleoprotein complexes,

70 kDa, A, C polypeptidesScl-70: DNA topoisomerase ISLE: Systemic lupus erythematosusSmD: Smith’s antigen (a family of RNA-binding

proteins)SSA/Ro: Sjogren’s Syndrome A antigen/small

ribonucleoprotein particle (Ro 52 and60 kDa)

SSB/La: Sjogren’s Syndrome B antigen/Lupus antigen,La ribonucleoprotein domain family,member 3

U1RNP: U1 nuclear ribonucleoprotein (mixture ofrecombinant RNP70, A, C)

UCTD: Undifferentiated connective tissue diseaseRA: Rheumatoid arthritis.

Conflict of Interests

The authors declare that there is no conflict of interestsregarding the publication of this paper.

Acknowledgments

Mrs. LotteHeckmann andMrs. LisNielsen are acknowledgedfor their technical assistance.

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