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. Author manuscript; available in PMC: 2015 Nov 1.
Published in final edited form as: J Thromb Haemost. 2014 Dec 11;13(1):47–53. doi: 10.1111/jth.12768

Characterization of the anti-factor VIII immunoglobulin profile in patients with hemophilia A by use of a fluorescence-based immunoassay

Brian Boylan 1, Anne S Rice 1, Amy L Dunn 2,, Michael D Tarantino 3, Doreen B Brettler 4, John C Barrett 5, Connie H Miller 1; Hemophilia Inhibitor Research Study Investigators*
PMCID: PMC4383171  NIHMSID: NIHMS674311  PMID: 25354263

Summary

Background

The development of neutralizing antibodies, referred to as inhibitors, against factor VIII (FVIII) is a major complication associated with FVIII infusion therapy for the treatment of hemophilia A (HA). Previous studies have shown that a subset of HA patients and a low percentage of healthy individuals harbor non-neutralizing anti-FVIII antibodies that do not elicit the clinical manifestations associated with inhibitor development.

Objective

Assess HA patients' anti-FVIII antibody profiles as potential predictors of clinical outcomes.

Methods

A fluorescence immunoassay (FLI) was used to detect anti-FVIII antibodies in 491 samples from 371 HA patients.

Results

Assessments of antibody profiles showed that the presence of anti-FVIII IgG1, IgG2, or IgG4 correlated qualitatively and quantitatively with the presence of a FVIII inhibitor as reported by the Nijmegen-Bethesda assay (NBA). Forty-eight patients with a negative inhibitor history contributed serial samples to the study, including seven patients who had negative NBA titers initially and later converted to NBA-positive. The FLI detected anti-FVIII IgG1 in five of those seven patients prior to their conversion to NBA-positive. Five of 15 serial-sample patients who had a negative inhibitor history and a positive anti-FVIII IgG1 later developed an inhibitor, compared to 2 of 33 patients with a negative inhibitor history without anti-FVIII IgG1.

Conclusions

These data provide a rationale for future studies designed both to monitor the dynamics of anti-FVIII antibody profiles in HA patients as a potential predictor of future inhibitor development and to assess the value of the anti-FVIII FLI as a supplement to traditional inhibitor testing.

Keywords: Factor VIII, Factor VIII Deficiency, Hemophilia A, immunoassay, Inherited Blood Coagulation Disorders

Introduction

Hemophilia A (HA) is an X-linked inherited bleeding disorder in which coagulation factor VIII (FVIII) is absent or dysfunctional and is most commonly treated by infusion of plasma-derived or recombinant FVIII. A major complication associated with FVIII infusion therapy is that up to 30% of patients develop antibodies that inhibit the function of and/or induce immune dependent clearance of the infused product(1;2). Anti-FVIII antibodies, referred to as inhibitors, diminish the effectiveness of infusion therapy, and, in the case of high titer inhibitors, necessitate the use of FVIII bypassing agents(3) or immune tolerance induction therapy (ITI)(4;5). Patients who develop FVIII inhibitors face an increased risk of bleeding complications(6) and present substantial financial and patient management challenges to the healthcare system(7).

The Bethesda assay(8) for measurement of FVIII inhibitors was developed in 1975 and modified in 1995 to the Nijmegen-Bethesda assay (NBA)(9), which is the gold standard method in use today. The NBA utilizes the degree to which HA patient plasma inhibits the in vitro clotting reaction of healthy donor plasma as a means to assign FVIII inhibitor titers. More recently, assays utilizing chromogenic substrates(10), enzyme linked immunosorbent assays (ELISA)(11;12), surface plasmon resonance (SPR) (13;14), and fluorescent immunoassays (FLI)(15-19) have been developed to detect anti-FVIII antibodies in HA patients. Many previous studies have observed that there is some discrepancy between the results obtained from functional assays, such as the NBA, and those obtained using other testing methods(11;12;18). Although the assortment of FVIII inhibitor assays all share the common goal of identifying the presence of anti-FVIII antibodies, they have key fundamental differences that contribute to the generation of discrepant results. The NBA and chromogenic inhibitor (CBA) assays attempt to simulate in vivo conditions in order to detect FVIII-specific functional inhibition of the clotting process. For the purpose of these assays, functional inhibition of FVIII-dependent clotting is reflected in decreased extent or kinetics of an in vitro clotting reaction(8;9) or the cleavage of a chromogenic substrate as a surrogate for clotting activity(10), but there is no direct measurement of FVIII-specific immunoreactivity. Alternatively, SPR, ELISA, and anti-FVIII FLI (αFVIII-FLI) inhibitor assays directly detect anti-FVIII antibodies, but do so without any means to assess the detected antibody’s ability to inflict functional inhibition on FVIII. These differences, as well as the lack of uniformity among laboratories used to determine what constitutes a positive reaction, make it difficult to integrate the various test results in order to reach a definitive diagnosis of a clinically significant inhibitor.

Previous studies utilizing direct antibody detection methods (11-13;20;21) have shown that the Ig subtype and subclass composition of the anti-FVIII antibody response may be critical in assessing the clinical implications of the immune response. These studies implicated IgG1 and IgG4 as the most common anti-FVIII antibody subclasses present in NBA-positive patient samples. The current study investigates the composition of the antibody response in 371 HA patients, the largest group of patients studied to date, using an αVIII-FLI. The study examines the prevalence of anti-FVIII antibodies in HA patient plasma, evaluates the make-up of the antibody response by IgG subclass, and assesses the clinical relevance of antibody subtype by evaluating the extent of correlation between FLI results and those obtained using the NBA.

Materials and Methods

Subjects

The study includes 491 plasma samples from 371HA patients (median/mean age 13/18.5 years) enrolled in the Hemophilia Inhibitor Research Study (22). 20.5% of patients (n=76) and 24.8% of samples (n=122) were NBA positive. Inhibitor measurements were performed using a modified version(23) of the NBA(9). The investigational review boards of the CDC and each participating site approved the protocol, and all participants or parents of minor children gave informed consent. Control samples were obtained from 56 paid healthy donors.

Fluorescence immunoassay

The αVIII-FLI is a modified version of our previously described method(18). Briefly, plasma samples diluted 1:30 in phosphate buffered saline (PBS) containing 1% dried milk (PBSM) were incubated with SeroMAP beads (Luminex Corporation, Austin, TX) coupled to Kogenate FS (Bayer Healthcare, Tarrytown, NY). Anti-FVIII antibodies were detected using serial incubations with biotinylated anti-human Ig (anti-IgG1, A-10650; anti-IgG2, 05-3540; anti-IgG3, MH1532; anti-IgG4, A-10663; anti-IgM, H15015; Life Technologies, Carlsbad, CA) and R-phycoerythrin-conjugated streptavidin (Jackson ImmunoResearch, West Grove, PA) using a Bio-Plex 200 suspension array system (Bio-Rad Laboratories, Hercules, CA). Results are expressed as median fluorescence intensity (MFI). The threshold for positivity was set at two standard deviations above the mean MFI of the results obtained for healthy donors.

Statistical Analyses

Comparisons of FLI and NBA results on individual plasma samples were made using GraphPad Prism (GraphPad Software, San Diego, CA) to generate Spearman’s correlation coefficient and two-tailed p values. Fisher’s exact test was used to evaluate differences in categorical data.

Results and Discussion

Characterization of anti-factor VIII antibodies in the plasma of hemophilia A patients

HA patient plasma samples were examined for the presence of anti-FVIII IgGs 1-4 and IgM using an αVIII-FLI (Table 1 and Figure 1). IgG subclass specific analysis of plasma samples showed that 40.5%, 17.3%, 6.1%, and 26.5% of the 491 patient samples were positive for anti-FVIII IgG1, IgG2, IgG3, and IgG4, respectively, compared to 5.4% (IgG1 and IgG2) or 1.8% (IgG3 and IgG4) of healthy donors (IgG1 and IgG4 p<0.0001; IgG2 p=0.02; IgG3 p=0.353). Evaluation of the IgG subclass specific FLI results segregated by NBA status revealed that NBA-positive specimens had significantly higher rates of positivity than NBA-negative samples for anti-FVIII IgG1, IgG2, IgG3, and IgG4 (p<0.0001)(Table 1; Figure 1). Rates of anti-FVIII IgM positivity were not significantly different in patients (3.9%) compared to healthy donors (7.1%) (p=0.285).

Table 1.

Summary of positive fluorescence immunoassay (FLI) results for anti-FVIII antibodies segregated by Ig subclass

% Positive for Anti-Factor VIII by FLI
n IgG1 IgG2 IgG3 IgG4 IgM*
Healthy donors 56 5.4 5.4 1.8 1.8 7.1
All HA specimens 491 40.5 17.3 6.1 26.5 3.9
NBA-negative HA
specimens
369 23.3 8.9 3 6 3.3
NBA-positive HA
specimens
122 92.6 42.6 15.6 88.5 5.9

Correlation of FLI
and NBA
0.5438
p<0.0001
0.3411
p<0.0001
0.2829
p<0.0001
0.5766
p<0.0001
0.0643
p=0.1589
*

n=482 HA specimens, 364 NBA-negative, and 118 NBA-positive

Figure 1.

Figure 1

Fluorescence immunoassay (FLI) results for anti-FVIII antibodies in plasma from hemophilia A (HA) patients and healthy controls. Individual data points represent plasma samples assayed for anti-FVIII IgG1 (A), IgG2 (B), IgG3 (C), or IgG4 (D), or IgM (E). Results are displayed on a log-scale for control plasmas from healthy donors, all HA patient samples, and the subsets of HA patient samples with negative or positive Nijmegen-Bethesda (NBA) results for each Ig measured. The dashed line, which represents the assay’s positive threshold, is two standard deviations above the mean median fluorescence intensity (MFI) of 56 control samples from healthy donors. The number of samples (n) and the percentage of the samples that tested positive are as indicated. * p<0.0001; **p=0.02

In order to assess the relative importance of each subclass of anti-FVIII IgG in patients with FVIII inhibitors, we analyzed the IgG subclass specific FLI results to determine the composition of the FVIII antibody response in NBA positive samples. The results show that 98.4% of the NBA positive samples had positive FLI titers for one or more subclasses of anti-FVIII IgG, including 13.9% that were positive for a single subclass of anti-FVIII IgG, 84.4% that contained multiple subclasses of anti-FVIII IgG, and the remaining 1.6% had no FLI detectable anti-FVIII antibodies (Table 2). All of the 120 NBA-positive samples that also tested positive by FLI contained anti-FVIII IgG1and/or IgG4, and 101 (84.2%) were positive for both IgG1 and IgG4. Both of the NBA positive/FLI negative results were on samples with low titer inhibitors (0.7 and 0.8 NBU), and one of these samples was previously reported to a be a false positive due to its negative result by CBA(18).

Table 2.

Fluorescence immunoassay (FLI) results on 122 NBA-positive specimens

NBA-Positive
Samples
Number of FLI-Positive Samples
FLI Result Percent (n) IgG1 IgG2 IgG3 IgG4
Negative 1.6 (2) 0 0 0 0
Positive for one
subclass of IgG
13.9 (17) 10 0 0 7
Positive for two
subclasses of IgG
40.2 (49) 49 1 1 47
Positive for three
subclasses of IgG
32.0 (39) 39 37 2 39
Positive for four
subclasses of IgG
12.3 (15) 15 15 15 15

Linear correlations were calculated according to Spearman to evaluate the relationship between titers obtained from the αFVIII-FLIs and NBA. The αFVIII-FLIs for IgG1 and IgG4, which were positive in 92.6% and 88.5% of samples, respectively, exhibited a strong positive correlation with NBA titers (r(IgG1)=0.5438, r(IgG4)=0.5766; p<0.0001). Correlations between FLI and NBA results were weak, yet significant for anti-FVIII IgG2 (r=0.3411; p<0.0001) and IgG3 (r=0.2829; p<0.0001), while anti-FVIII IgM did not exhibit a quantitative correlation with NBA results (Table 1).

Anti-FVIII IgG composition in serial samples from individual hemophilia A patients

Sixteen patients exhibited a change in NBA inhibitor status over the course of specimen collection. Seven of those patients (patients 1-7) had negative NBA titers on their initial study specimen, but later developed a positive NBA reaction following FVIII infusion therapy for the indicated exposure days (Table 3). Examination of FLI results on plasma samples from these seven patients revealed that five of them harbored one or more classes of anti-FVIII Igs in samples prior to developing an inhibitor detectable by the NBA (Table 3, patients 1-5). All of these five patients were positive for anti-FVIII IgG1 prior to their conversion from NBA negative to NBA positive; one was also positive for anti-FVIII IgG4 (patient 5) and one for IgM (patient 4). Analysis of the FLI results on 201 samples from all 81 patients who contributed multiple specimens (data not shown) showed that 5 of 15 (33.3%) patients with a negative inhibitor history and a positive IgG1result later developed an inhibitor, compared to 2 of 33 (6.1%) patients with a negative inhibitor history without anti-FVIII IgG1 antibodies (p=0.0239). Patients 8-16 (Table 3) all have a history of inhibitors and are of interest due to the transitory nature of their NBA positivity. It is important to note that while overall the FLI results for anti-FVIII IgG1, IgG2, IgG3, and IgG4 displayed significant positive correlations with the NBA, FLI and NBA results on serial samples from individual patients did not necessarily change proportionally with time. The lack of intra-patient consistency is probably attributable to the differing role of kinetics in the two assays, and may also reflect changes in the patient’s immune response over time.

Table 3.

Anti-factor VIII fluorescence immunoassay (FLI) results on serial plasma draws from hemophilia A patients who exhibited a change in Nijmegen-Bethesda assay (NBA) status over the course of sample collection. A grey background highlights positive results.

Pt. severity Draw date Median fluorescence intensity units (MFI) NBU Exposure
days
IgG1 IgG2 IgG3 IgG4 IgM
No
history
of
inhibitor
12/5/07 5.5 4.5 5 6 11.5 0.1 0-20
9/10/08 11.5 7 7 6 84.3 0
1 mild 9/16/09 25.5 5.5 6 5 17 0
4/21/10 1093.3 7 191.5 8 38 1.7 0-20
6/9/10 4646.8 46 332.3 85 60.8 1.3
9/21/10 386.5 7.5 20.5 96.8 29 1.8

8/9/10 22 5 4.5 3.3 39.5 0.1 0-20
10/11/10 4111.8 42.3 612 1921 34 3.2 21-50
2 severe 11/18/10 827 10 28.8 1109 83.5 18.7
2/8/11 3352 43.5 44 1277 25.5 7.2
3/9/11 234.5 7.5 10.3 262 25 1.4

3 severe 10/1/08 75.3 5 8 4.5 90.5 0 0-20
9/22/09 441.3 15.5 8.3 1592 85.3 13.6 0-20

7/23/08 37.5 8.3 5.8 6.5 746.5 0.2 0-20
4 severe 7/8/09 16.8 5.8 5.8 4 69 0
6/2/10 240.5 9 8 792.3 173.8 3.9 21-50

8/6/08 33 6 3.5 9 25.5 0.3 21-100
5 severe 8/12/09 48.5 12.8 6.5 14.5 53.8 1.4 >150
8/14/09 11 6 3.5 10.5 46 1.4
6/30/10 6 6.8 4 3.5 58.8 0

6 mild 3/3/10 10.5 4.3 6 4.5 109.3 0.1 0-20
5/27/10 504.8 11.8 73.5 12.3 597.5 1.4 0-20
6/14/10 3914.5 111.3 746.8 114.5 103 1.7
11/14/12 7.5 5.5 5 4.5 70.8 0.1

2/5/07 7 4.5 3.5 4 ND 0 101-150
7 severe 6/18/08 34 6.8 4.8 1193.8 39 6.5 101-150
6/17/09 51.5 7 6.8 1276.5 248.8 3.8

Previous
history
of
inhibitor
8 severe 7/5/06 249.5 12 13 8548.3 32 19.3 ND
7/23/08 7 5.5 5 5 42 0.2

3/15/06 10 5.3 4 11.5 231 0.5 ND
9 severe 5/7/08 14.5 6.3 6.5 18.5 110.3 0
5/6/09 9 8 5.8 7 93.8 0

10 severe 9/5/07 157.3 11 6.8 27 26.5 1.1 ND
9/5/12 41 6.3 5.5 27.3 16 0.4

6/17/08 35.8 5.8 6.5 39.5 42.5 0.5 ND
11 severe 6/17/09 38.5 10.5 8.5 21 15.8 0.3
6/16/10 19.5 4.5 5.5 22.5 25 0.3

12 4/12/06 15.5 4 4.5 4 54.8 0.5 ND
severe 4/23/08 16.5 6 4 6 15.5 0.4
4/29/09 8 8.5 5 4 46.5 0

13 mild 12/15/08 66.3 96.5 12 542 37 0.8 ND
3/4/09 10.8 58.3 6.5 14 40.5 0

11/16/07 85.5 10 5.8 1527 15 24.6 ND
14 severe 9/25/09 14.5 5 4 9.8 37 0.3
6/2/10 337.5 92.3 398.5 145.8 95.5 3.3

15 severe 2/6/08 240.8 55.5 1341.5 85.3 41.5 3.9 ND
4/8/09 16 6.5 14.5 69 23.5 0.2

16 severe 10/10/07 48 25 31 510 20.8 0.3 ND
12/5/08 13.3 9 7 207.5 26.5 0.6

Threshold
for
Positivity
14.6* 16.1* 75.5* 8.3* 153.6* 0.5
*

Mean + 2sd of 56 healthy donors

ND- No data collected

Positive FLI results on samples with a corresponding negative NBA result were present in a low percentage of samples tested for anti-FVIII IgG2-4, occurring in 3-9%, while disparities for anti-FVIII IgG1 were more common, with positive FLI results occurring in 23.3% of NBA negative samples. These discrepant results may be caused by the presence of anti-FVIII antibodies that are of insufficient titer to render an inhibitory effect on coagulation in the NBA, the presence of anti-FVIII antibodies that recognize epitopes that are insignificant to the functional integrity of the FVIII molecule, or non-specific or indirect antibody binding to the FVIII coupled beads. Our data on serial samples drawn from 81 patients support the first hypothesis. While it is important to note that patients harboring non-neutralizing antibodies may never progress to developing an inhibitor, one-third of 15 patients who had a negative inhibitor history and were positive for IgG1converted from NBA negative to NBA positive over the course of the sample collection, compared to only 6.1% of patients with a negative inhibitor history without anti–FVIII IgG1. These findings, although preliminary, suggest that NBA-negative patients with IgG1 anti-FVIII antibodies are more likely to develop inhibitors detectable by the NBA than patients without such antibodies, and that these patients may merit closer scrutiny (e.g., patients undergoing surgical procedures) or more frequent follow-up testing (e.g., patients receiving initial FVIII infusions) to facilitate prompt clinical intervention.

The identification of anti-FVIII antibodies in HA patients is an important clinical development, but results presented here and by others have shown that the mere presence of antibodies does not always correlate with the clinical manifestations of FVIII inhibition (11;12;16-19;24;25). Identifying the underlying features that distinguish cases of benign and/or transient anti-FVIII antibodies from those that are clinically relevant anti-FVIII inhibitors is an important area of research. Although it remains unclear why the presence of certain antibody subclasses may be predictive of a worse clinical outcome, the data presented herein support those from a recently published study by Whelan et al.(12) in which the authors used an ELISA to show that anti FVIII IgG1 and IgG4 were present in 19 of 20 inhibitor positive HA patients. They also found that IgG4 was completely absent in 77 non-inhibitor patients and 600 healthy individuals, and that anti–FVIII IgG1 was present in 19% and 6% of non-inhibitor HA patients and healthy individuals, respectively(12). Whelan et al. hypothesized that their data could indicate the presence of variations in immune regulatory pathways in the different study cohorts. Previous studies that examined the potential link between SNPs in immune response genes and a predisposition to inhibitor development(26-30), and the results from the current study with a larger patient population using different methodology support this hypothesis. In addition, our data illustrate that IgG4 may be present in a low percentage of patients lacking inhibitors as measured by the NBA including 2.5% (7 of 283) of patients with a negative inhibitor history(data not shown) and that anti-FVIII IgG1 production may be an early checkpoint in inhibitor development. Taken together, these data provide a rationale for future clinical studies designed to monitor the dynamics of HA patients’ anti-FVIII antibody profiles in order to assess their value as predictors of future development of clinically relevant inhibitors and to determine the usefulness of the αFVIII FLI as a supplement to traditional inhibitor testing methods.

Acknowledgments

Thanks to the patients who participated and the study coordinators and administrators at the study sites: Jan Kuhn, Gail Long, Pam Bryant, Margaret Geary, Rosanne Lamoreaux, Mindy Nolte, Jamie Leonard, Julie Thomas, Betsy Wilson, Beverly Yandell, Leslie Morse, Neelam Thukral, Michael Lammer, Debbie Nelson, Holly Davidson, Megan Lemanczyk, Madeline Cantini, Aroub Khleif, Carol Dekernion, Jeanettte Buehler, Amanda Hollatz, Brenda Riske, Wendy Mitsuyama, David Waters, Angie Riedel, Michiyo Tomita, Young Chong, Ann Forsberg, Deirdre Cooper-Blacketer, and Rebecca Hauke.

Disclosures

This work was supported by the CDC Foundation through a grant from Pfizer Pharmaceuticals. The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the Centers for Disease Control and Prevention.

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