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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="article-commentary"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">7603509</journal-id><journal-id journal-id-type="pubmed-jr-id">1243</journal-id><journal-id journal-id-type="nlm-ta">Blood</journal-id><journal-id journal-id-type="iso-abbrev">Blood</journal-id><journal-title-group><journal-title>Blood</journal-title></journal-title-group><issn pub-type="ppub">0006-4971</issn><issn pub-type="epub">1528-0020</issn></journal-meta><article-meta><article-id pub-id-type="pmid">26272046</article-id><article-id pub-id-type="pmc">4556233</article-id><article-id pub-id-type="doi">10.1182/blood-2015-02-625574</article-id><article-id pub-id-type="manuscript">HHSPA717489</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Game, Set, Match for Factor VIII Mismatch?</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Miller</surname><given-names>Connie H.</given-names></name><degrees>Ph.D.</degrees><aff id="A1">Division of Blood Disorders, National Center on Birth Defects and
Developmental Disabilities, Centers for Disease Control and Prevention,
Atlanta, GA, USA</aff></contrib></contrib-group><pub-date pub-type="nihms-submitted"><day>24</day><month>8</month><year>2015</year></pub-date><pub-date pub-type="ppub"><day>13</day><month>8</month><year>2015</year></pub-date><pub-date pub-type="pmc-release"><day>13</day><month>8</month><year>2016</year></pub-date><volume>126</volume><issue>7</issue><fpage>829</fpage><lpage>830</lpage><!--elocation-id from pubmed: 10.1182/blood-2015-02-625574--><related-article related-article-type="commentary-article" xlink:href="4536543" ext-link-type="pmcid" id="ra1" xlink:type="simple"/></article-meta></front><body><p id="P1">In this issue, Gunasekera et al<sup><xref rid="R1" ref-type="bibr">1</xref></sup>
provide evidence that the high rate of factor VIII (FVIII) inhibitors seen in Black
hemophilia A (HA) patients is not due to a mismatch between the structure of treatment
products and FVIII genotypes common in Blacks. Black HA patients have consistently been
shown to have an almost two-fold higher frequency than White patients of inhibitors, the
neutralizing antibodies that can develop against FVIII treatment products and limit
their usefulness in stopping or preventing bleeding.<sup><xref rid="R2" ref-type="bibr">2</xref>, <xref rid="R3" ref-type="bibr">3</xref></sup> The mismatch hypothesis
to explain this disparity was an innovative concept proposed by Viel et al<sup><xref rid="R4" ref-type="bibr">4</xref></sup> based on their observation that the
pattern of four non-synonymous single nucleotide polymorphisms (ns-SNPs) coding for
amino acid changes in normal FVIII structure could be used to define 6
<italic>F8</italic> haplotypes, the frequencies of which vary by race. The two most
common haplotypes, H1 and H2, are represented in different full-length recombinant FVIII
products used for HA treatment. Among 76 African Americans, 25% had haplotypes
other than H1 and H2, and this group had increased odds of having an inhibitor (odds
ratio, 3.6; 95% confidence interval, 1.1&#x02013;12.3; P=0.04).<sup><xref rid="R4" ref-type="bibr">4</xref></sup> Subsequent studies of small populations
of patients of African ancestry have failed to confirm this finding.<sup><xref rid="R5" ref-type="bibr">5</xref>&#x02013;<xref rid="R7" ref-type="bibr">7</xref></sup> The haplotypes investigated are rare in White populations, and
no correlation with inhibitors was found in substantially sized groups of White
patients.<sup><xref rid="R5" ref-type="bibr">5</xref>, <xref rid="R8" ref-type="bibr">8</xref></sup></p><p id="P2">Gunasekera et al<sup><xref rid="R1" ref-type="bibr">1</xref></sup> present the
most comprehensive study to date to address this question, using three different
approaches. First, statistical analysis using 174 African-American patients and 198
Caucasian HA subjects confirmed the increased inhibitor frequency in African Americans
but showed no correlation of inhibitor status with ns-SNPs or haplotypes. The only
statistically significant finding was a higher inhibitor frequency in patients
&#x0201c;potentially exposed to sequence-mismatched FVIII&#x0201d; than in those not
exposed. As the authors note, this should be interpreted with caution. The exposed group
included any patient who had ever received a blood product or plasma-derived factor,
including FEIBA. Since FEIBA is used primarily to treat inhibitor patients, its
inclusion may bias the results. Second, binding affinities of peptides containing the
relevant ns-SNPs to HLA-DRB1 alleles were measured to identify SNP/allele combinations
that might increase inhibitor risk. Weak or no binding was observed in 85% of
these assays. Among subjects with combinations that did bind, more than 50% had
not developed inhibitors. Binding was far less frequent than predicted by computer
algorithms. Third, cultured CD4 T cells from a small number of patients infused with
mismatched products were examined by tetramer-guided epitope mapping to determine
reactivity with FVIII peptides containing the ns-SNP sequences. Using methods that have
successfully demonstrated T-cell epitopes in mild hemophilia patients with high-risk
mutations resulting in single-amino-acid changes, they found no high avidity binding.
The authors conclude that the small number of patients potentially reactive to the
neo-epitopes presented by mismatched products could not account for the high inhibitor
rate seen in African Americans.</p><p id="P3">If FVIII mismatch is not the answer, where do we go from here? Risk factors for
development of inhibitors are complex and interrelated (<xref ref-type="fig" rid="F1">Figure</xref>). The causative gene mutation is the primary determinant of inhibitor
risk, controlling whether the gene produces a product, and, if so, how different that
product is from the normal protein. More than 2500 unique mutations causing HA have been
reported (<ext-link ext-link-type="uri" xlink:href="http://www.cdc.gov/hemophiliamutations">http://www.cdc.gov/hemophiliamutations</ext-link>). This heterogeneity makes
inclusion of mutation in risk factor analysis problematic. African-American HA patients
have not been found to have differences from White Americans in the type and frequency
of mutations, <sup><xref rid="R4" ref-type="bibr">4</xref>, <xref rid="R5" ref-type="bibr">5</xref></sup> but mutation type has not been included in all analyses.
The use of patient groups with the common intron-22 inversion to control for mutation
presents an interesting conundrum. Studies have now shown that the inverted gene does
produce two products, which include ns-SNPs and remain intracellular; they may result in
immune tolerance.<sup><xref rid="R9" ref-type="bibr">9</xref></sup> The uniformity of
these products across all intron-22 inversion patients has yet to be demonstrated.</p><p id="P4">Study of immune response genes is similarly daunting, although it presents
perhaps the most likely area for identification of racial differences. Study of 13,331
SNPs in 833 subjects yielded 13 candidate genes for further investigation.<sup><xref rid="R10" ref-type="bibr">10</xref></sup> This large population, however,
included only 48 Black subjects. Larger numbers of Black patients and Hispanics, who
also have increased inhibitor risk,<sup><xref rid="R2" ref-type="bibr">2</xref>, <xref rid="R3" ref-type="bibr">3</xref></sup> will be required to assess whether their
immune risk factors differ from those in Whites. Functional studies of the type
conducted by Gunasekera et al<sup><xref rid="R1" ref-type="bibr">1</xref></sup> will be
necessary to evaluate the validity of any genetic risk factors identified.</p><p id="P5">Product exposure as a risk factor is an area of intense interest. Inhibitor risk
is increased during the first few exposures in severe patients, although mild and
moderate patients may have a lifelong risk. Inhibitors may be triggered by intense
treatment episodes, inflammation, or other challenges to the immune system during
therapy. Product structure differences and product switching remain areas of concern.
The problem in risk factor analysis is documenting and quantifying exposure. With US
reliance on multiple treatment products, it is difficult to identify patients who have
received only a single factor product, other than previously untreated patients, who
number fewer than 400 affected neonates per year. Assessment of the immunogenicity of
individual products or treatment methods requires large numbers. Fewer than 1500 Black
and 1500 Hispanic patients have been enrolled in surveillance programs in the US, and
recruitment of sufficient numbers for studies has been difficult. Indeed, we have
hypothesized that the increased numbers of inhibitors seen may result from attendance at
hemophilia treatment centers and study enrollment by only the more severely affected
inhibitor patients in these population groups.<sup><xref rid="R5" ref-type="bibr">5</xref></sup></p><p id="P6">An assessment of all three components of risk is required to provide an
individual patient with treatment designed to minimize the chance of an inhibitor
occurring. Very large studies, perhaps conducted internationally, will be required to
quantify these risks and to assess the unique characteristics of population subgroups
such as Blacks and Hispanics that result in their disproportionate risk.</p></body><back><fn-group><fn id="FN1" fn-type="conflict"><p id="P7">Conflict-of-interest disclosure: The author declares no competing
financial interests.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gunasekera</surname><given-names>D</given-names></name><name><surname>Ettinger</surname><given-names>RA</given-names></name><name><surname>Fletcher</surname><given-names>SN</given-names></name><etal/></person-group><article-title>Factor VIII gene variants and inhibitor risk in African American
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22&#x02013;inverted <italic>F8</italic> locus may modulate the
immunogenicity of replacement therapy for hemophilia A</article-title><source>Nature Medicine</source><year>2013</year><volume>19</volume><issue>10</issue><fpage>1318</fpage><lpage>1324</lpage></element-citation></ref><ref id="R10"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Astermark</surname><given-names>J</given-names></name><name><surname>Donfield</surname><given-names>SM</given-names></name><name><surname>Gomperts</surname><given-names>ED</given-names></name><etal/></person-group><article-title>The polygenic nature of inhibitors in hemophilia A: results from
the Hemophilia Inhibitor Genetics Study (HIGS) Combined
Cohort</article-title><source>Blood</source><year>2013</year><volume>121</volume><issue>8</issue><fpage>1446</fpage><lpage>1454</lpage><pub-id pub-id-type="pmid">23223434</pub-id></element-citation></ref></ref-list></back><floats-group><fig id="F1" orientation="portrait" position="float"><label>Figure</label><caption><p id="P8">Risk factors for development of inhibitors (neutralizing antibodies)
against treatment products used to stop or prevent bleeding in hemophilia
patients include three major categories. The causative mutation in the gene for
factor VIII or factor IX has been shown to be the most significant risk factor,
as whether a gene product is produced or its structure determines how the immune
system recognizes the infused protein. The treatment product itself, how much
exposure has occurred, and conditions of that exposure provide the trigger for
the immune response. Determinants within the immune system control the response
through a multiplicity of genes producing a wide phenotypic variability.
Interaction of these three components, illustrated by the overlapping circles of
the Venn diagram, provides each person with hemophilia with a highly
individualized risk of developing this complication of treatment at some point
during his lifetime. Professional illustration by Ken Probst, XavierStudio.</p></caption><graphic xlink:href="nihms717489f1"/></fig></floats-group></article>