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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Allergy</journal-id>
<journal-title>Frontiers in Allergy</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Allergy</abbrev-journal-title>
<issn pub-type="epub">2673-6101</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/falgy.2025.1599358</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Allergy</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Utility of tryptase genotyping in the screening, diagnosis, and management of systemic mastocytosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>McMurray</surname><given-names>Jeremy C.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1159044/overview"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/></contrib>
<contrib contrib-type="author"><name><surname>Schornack</surname><given-names>Brandon J.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3012090/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Villar</surname><given-names>Joaquin</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3062541/overview" /><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>George</surname><given-names>Tracy I.</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2168724/overview" /><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Boggs</surname><given-names>Nathan A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2995502/overview" /><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Allergy &#x0026; Immunology Service, Walter Reed National Military Medical Center</institution>, <addr-line>Bethesda, MD</addr-line>, <country>United States</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Department of Pediatrics, Uniformed Services University</institution>, <addr-line>Bethesda, MD</addr-line>, <country>United States</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Henry M. Jackson Foundation for the Advancement of Military Medicine</institution>, <addr-line>Bethesda, MD</addr-line>, <country>United States</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Center for Military Precision Health, Uniformed Services University</institution>, <addr-line>Bethesda, MD</addr-line>, <country>United States</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>ARUP Laboratories and Huntsman Cancer Institute, Department of Pathology, University of Utah</institution>, <addr-line>Salt Lake, UT</addr-line>, <country>United States</country></aff>
<aff id="aff6"><label><sup>6</sup></label><institution>Department of Medicine, Uniformed Services University</institution>, <addr-line>Bethesda, MD</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Peter Kopac, University Clinic of Pulmonary and Allergic Diseases Golnik, Slovenia</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Carmen Fava, University of Turin, Italy</p>
<p>Matev&#x017E; &#x0160;kerget, University Medical Centre Ljubljana, Slovenia</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Jeremy C. McMurray <email>jeremymcmurray.md@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>27</day><month>05</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>6</volume><elocation-id>1599358</elocation-id>
<history>
<date date-type="received"><day>24</day><month>03</month><year>2025</year></date>
<date date-type="accepted"><day>05</day><month>05</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 McMurray, Schornack, Villar, George and Boggs.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>McMurray, Schornack, Villar, George and Boggs</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Tryptase genotyping has an expanding role in the screening, diagnosis, and management of patients with systemic mastocytosis (SM). Reference ranges for basal serum tryptase (BST) based on increased <italic>TPSAB1</italic> gene copy number can guide whether a patient&#x0027;s BST value is normal according to their specific tryptase genotype. Patients with an elevated BST based upon their tryptase genotype should be offered a bone marrow biopsy with sample evaluation by a hematopathologist. Tryptase genotyping is required when assessing patients for the WHO minor criterion, BST&#x2009;&#x003E;&#x2009;20&#x2005;ng/ml, especially in those with monoclonal mast cell activation syndrome, bone marrow mastocytosis (BMM), and indolent systemic mastocytosis (ISM) when the major criterion is not met. Additionally, in patients with non-advanced SM, tryptase genotyping helps determine whether a patient with hereditary-alpha tryptasemia (H&#x03B1;T) has BMM with a BST&#x2009;&#x003C;&#x2009;125&#x2005;ng/ml or fulfills the B-finding of BST&#x2009;&#x003E;&#x2009;200&#x2005;ng/ml through application of a correction factor. Understanding a patient&#x0027;s BST level based upon their tryptase genotype also is helpful in guiding when to pursue a repeat bone marrow biopsy in patients with SM treated with a tyrosine kinase inhibitor (TKI). However, TKIs have variable KIT D816V as well as wild type KIT inhibition. Given this variable KIT inhibition, ongoing and future clinical trials with selective TKIs should report whether patients with SM and H&#x03B1;T experience normalization or persistent elevation of BST values as this is essential in understanding the expected treatment response and when to assess for pathological remission in the bone marrow.</p>
</abstract>
<kwd-group>
<kwd>systemic mastocytosis (SM)</kwd>
<kwd>tryptase genotyping</kwd>
<kwd>basal serum tryptase (BST)</kwd>
<kwd>hereditary alpha tryptasemia</kwd>
<kwd>tyrosine kinase inhibitors (TKIs)</kwd>
</kwd-group><counts>
<fig-count count="2"/>
<table-count count="4"/><equation-count count="0"/><ref-count count="98"/><page-count count="11"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Genetics and Epidemiology</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>Mast cells (MCs) are a group of tissue-resident white blood cells characterized by metachromatic granules that contain mediators released during the early- and late-phase allergic responses. Tryptases are serine proteases that were first identified in MC granules in 1981 and they are the most abundant protein mediator in MC secretory granules (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). In humans, MCs can be identified through granular cytoplasmic expression of tryptase by immunohistochemistry and MC subpopulations in various tissues can be further delineated based upon the granular cytoplasmic co-expression of both tryptase and a second serine protease known as chymase (<xref ref-type="bibr" rid="B4">4</xref>). Tryptase and other MC mediators, including chymase, histamine, heparin, prostaglandins, leukotrienes, cytokines, and acid hydrolases, are released from secretory granules during degranulation and collectively contribute to allergic disease. MC mediators may affect the expression and stability of one another. For instance, exogenous histamine induces a concentration-dependent increase in tryptase (<xref ref-type="bibr" rid="B5">5</xref>). Conversely, exogenous tryptase can also induce a concentration-dependent increase in histamine (<xref ref-type="bibr" rid="B6">6</xref>). Heparin combined with an acidic pH serves to stabilize tetrameric tryptase via four histidine residues found in tryptase (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). An individual role for tryptase in human disease has not yet been established (<xref ref-type="bibr" rid="B11">11</xref>). By contrast, histamine has been demonstrated to cause cardiovascular instability when infused directly into human subjects and histamine receptor antagonists are widely used in the treatment of allergic disease (<xref ref-type="bibr" rid="B12">12</xref>). There is no clear role for tryptase or other MC mediators in human health (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>Elevations in basal serum tryptase (BST) values occur at increased frequency in patients with the myeloid neoplasm systemic mastocytosis (SM) (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). SM is characterized by the abnormal accumulation of neoplastic MCs in one or more organ systems. BST values &#x2265;20&#x2005;ng/ml are incorporated into the 2022 World Health Organization (WHO) and International Consensus Classification (ICC) diagnostic criteria for SM (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Additionally, BST values are used as a disease burden biomarker corresponding to the quantity of neoplastic mast cells in patients with SM. BST &#x003E;200&#x2005;ng/ml is a marker of high neoplastic MC burden. Serial monitoring of BST values is an important aspect of SM disease management in patients treated with tyrosine kinase inhibitors (<xref ref-type="bibr" rid="B15">15</xref>). It has recently been determined that the most common etiology for elevated BST in the general population is due to copy number variation at the tryptase locus gene, <italic>TPSAB1,</italic> rather than SM and this has led to refinements in SM screening (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Further, BST reference ranges specific to an individual&#x0027;s tryptase genotype, based on copy number variation at <italic>TPSAB1</italic>, have been reported (<xref ref-type="bibr" rid="B17">17</xref>). Thus, tryptase genotyping is becoming an important clinical tool in the management of patients with SM. Here, we explore the specific use of tryptase genotyping for SM screening, application of SM diagnostic criteria and subtype determination, and guiding SM management in patients treated with tyrosine kinase inhibitors.</p>
<sec id="s1a"><title>Tryptase locus</title>
<p>The tryptase locus found at chromosome 16p13.3 is a 1.64 megabase region containing tryptase genes encoding soluble and membrane-bound serine proteases (<xref ref-type="fig" rid="F1">Figure&#x00A0;1A</xref>). Tryptase genes are part of an ancient gene family that arose in non-mammalian vertebrates (<xref ref-type="bibr" rid="B18">18</xref>). From telomere to centromere, these genes include <italic>TPSG1</italic>, <italic>TPSB2</italic>, and <italic>TPSAB1</italic> (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). <italic>TPSB2</italic> and <italic>TPSAB1</italic> are &#x003E;90&#x0025; similar in sequence while <italic>TPSG1</italic> is only 47&#x0025; similar to <italic>TPSB2</italic> (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Additional related genes of reduced function or pseudogenes are distal to <italic>TPSAB1</italic> towards the centromere including <italic>TPSD1</italic> and <italic>PRSS22</italic> (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). The tryptase locus genes were first cloned and described in humans in 1999 (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B24">24</xref>). The <italic>TPSG1</italic> gene encodes &#x03B3; tryptase isoforms. &#x03B3; tryptases have a hydrophobic tail that results in them being membrane-bound (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Genomes of non-mammalian vertebrates encode homologs of <italic>TPSG1,</italic> but not <italic>TPSB2</italic> or <italic>TPSAB1,</italic> suggesting that membrane-bound tryptase isoforms evolved first (<xref ref-type="bibr" rid="B18">18</xref>). The <italic>TPSB2</italic> and <italic>TPSAB1</italic> genes likely arose in mammals. They encode soluble tryptases that localize to MC granules as tetramers and are also constitutively secreted as pro-tryptase monomers (<xref ref-type="bibr" rid="B25">25</xref>). The <italic>TPSB2</italic> gene encodes &#x03B2; tryptase isoforms. The three <italic>TPSB2</italic> alleles described in humans includes the &#x03B2;I minor allele, &#x03B2;II major allele, and &#x03B2;III major allele. Approximately 20&#x0025; of the population may have a frameshifted <italic>TPSB2</italic> &#x03B2;III null allele (&#x03B2;III<sup>FS</sup>) (<xref ref-type="bibr" rid="B26">26</xref>). The <italic>TPSAB1</italic> gene encodes either the &#x03B1; major allele, &#x03B2;I major allele, or &#x03B2;II minor allele. &#x03B2; tryptase homotetramers are functional serine proteases while homotetrameric &#x03B1; tryptases are likely non-functional based on crystal structure and biochemical analysis, due to amino acid substitutions at residues &#x2212;3 and 215. The Arg-3Gln substitution in the N-terminal pro-peptide of &#x03B1; tryptase evolved recently and leads to faulty zymogen activation. The Gly215Asp substitution in the catalytic primary specificity pocket leads to reduced substrate binding and flawed catalytic activity (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>). &#x03B1;&#x03B2; heterotetramers occur in proportion to the number of &#x03B1; alleles present. The protease activity of heterotetramers has been incompletely characterized, although one study showed that heterotetramers <italic>in vitro</italic> can activate protease activated receptor-2 and cleave EGF-like module&#x2014;containing mucin-like hormone receptor-like 2 (<xref ref-type="bibr" rid="B30">30</xref>). The mutation causing the Gly215Asp substitution in &#x03B1; tryptase arose in Old World monkeys after they split from New World monkeys. This mutation also arose before the split of &#x03B1; and &#x03B2; alleles at <italic>TPSAB1</italic> (<xref ref-type="bibr" rid="B18">18</xref>). Site directed mutagenesis to swap Gly for Asp at residue 215 was sufficient for &#x03B1; tryptase to gain &#x03B2;II enzymatic activity (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p><bold>(A)</bold> Schematic of tryptase gene cluster and its wild type genotypes. Tryptase locus on chromosome 16p13.3 comprises a homologous cluster of genes: <italic>TPSAB1</italic>, <italic>TPSB2</italic>, <italic>TPSD1</italic> and <italic>TPSG1</italic>. <italic>TPSAB1</italic> and <italic>TPSD1</italic> are located on the positive strand of DNA, while <italic>TPSB2</italic> and <italic>TPSG1</italic> are on the negative strand. (<xref ref-type="bibr" rid="B23">23</xref>) An additional human tryptase (&#x03B5;) encoded by PRSS22 also exists on 16p just outside of this cluster on the negative strand. <italic>TPSAB1</italic> and <italic>TPSB2</italic> encode soluble tryptases (&#x03B1; and &#x03B2;). The resulting normal <italic>TPSAB1</italic>/<italic>TPSB2</italic> genotypes are shown (specific &#x03B2; alleles are not indicated). <bold>(B)</bold> Hereditary-&#x03B1; tryptasemia (H&#x03B1;T) alleles and genotypes. The H&#x03B1;T genetic trait is defined as one or more tandem increased copies of the <italic>TPSAB1</italic> &#x03B1; allele. (<xref ref-type="bibr" rid="B97">97</xref>) Tandem <italic>TPSAB1</italic> &#x03B1; allele duplications and triplications are the most commonly reported copy number variants that underly H&#x03B1;T, though even higher tandem copy numbers can occur. (<xref ref-type="bibr" rid="B16">16</xref>) The resulting most common H&#x03B1;T <italic>TPSAB1</italic>/<italic>TPSB2</italic> genotypes are shown (specific &#x03B2; alleles are not indicated). <bold>(C)</bold> Each &#x03B1;&#x2212; and &#x03B2;-tryptase allele encodes a 275-amino acid peptide with a 30-amino acid-leader sequence and a mature catalytic portion of 245 amino acids. Each of these isoforms is highly similar, being at least 97&#x0025; identical. (<xref ref-type="bibr" rid="B98">98</xref>) The key amino acids differentiating each isoform are Arg/Gly at &#x2212;3, Pro/Arg 23, Asn/Lys at 102 and Asp/Gly at 215. (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). &#x002A;bIIIFS-tryptase p.M123Dfs&#x002A;14 is inactive.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="falgy-06-1599358-g001.tif"/>
</fig>
</sec>
<sec id="s1b"><title>Hereditary-alpha tryptasemia (H&#x03B1;T) genetic trait</title>
<p>Tandem increased copy number of the &#x03B1; allele of <italic>TPSAB1</italic> on one or more chromosomes is known as the H&#x03B1;T genetic trait and was first identified in 2016 (<xref ref-type="fig" rid="F1">Figure&#x00A0;1B</xref>) (<xref ref-type="bibr" rid="B16">16</xref>). The tandem &#x03B1; alleles in H&#x03B1;T have an expanded promoter repetitive element that is linked to increased &#x03B1; tryptase expression (<xref ref-type="bibr" rid="B17">17</xref>). It is not clear how many founder events for the H&#x03B1;T genetic trait may have occurred during human evolution, in which human populations these founder events occurred, and whether the trait occurred due to genetic drift or positive selection. Two studies have reported on the prevalence of H&#x03B1;T in a general population sample. In 2016, when H&#x03B1;T was first reported, the authors assessed a sample of 98 individuals and found 8 (8.2&#x0025;) that had both elevated BST values and H&#x03B1;T. A subsequent study in the UK of 423 individuals found that 22 (5&#x0025;) had H&#x03B1;T (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B31">31</xref>). BST references ranges based upon the number of tandem <italic>TPSAB1</italic> &#x03B1; alleles were reported in 2021 (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>) (<xref ref-type="bibr" rid="B32">32</xref>). Modeled BST reference range values were subsequently reported in 2023 and showed that each additional tandem <italic>TPSAB1</italic> &#x03B1; allele contributes around 10&#x2005;ng/ml to BST on average (<xref ref-type="bibr" rid="B17">17</xref>). The genes at the tryptase locus, particularly <italic>TPSB2</italic> and <italic>TPSAB1</italic>, are under strong linkage disequilibrium and are inherited as haplotypes (<xref ref-type="bibr" rid="B26">26</xref>). There are two major tryptase locus haplotypes of <italic>TPSB2</italic>-<italic>TPSAB1</italic> for individuals who do not have H&#x03B1;T that occur at a frequency of &#x003E;15&#x0025; and they are &#x03B2;II-&#x03B1; and &#x03B2;III-&#x03B2;I. There are additional minor haplotypes that occur at a frequency of &#x003C;15&#x0025; (<xref ref-type="bibr" rid="B26">26</xref>). The major haplotype for <italic>TPSB2</italic>-<italic>TPSAB1</italic> for individuals who have H&#x03B1;T appears to be &#x03B2;I-&#x03B1;<sup>DUP</sup> (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Predicted basal serum tryptase median, range, and upper 99&#x0025; interval according to TPSAB1 &#x03B1; allele copy number.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">&#x0023; Additional <italic>TPSAB1</italic> copy number</th>
<th valign="top" align="center">Tryptase genotypes</th>
<th valign="top" align="center">Predicted median BST (range) (ng/ml)</th>
<th valign="top" align="center">Predicted upper 99.5&#x0025; BST value (ng/ml)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">0</td>
<td valign="top" align="left">&#x03B2;&#x03B2;&#x03B2;&#x03B2;, &#x03B1;&#x03B2;&#x03B2;&#x03B2;, &#x03B1;&#x03B1;&#x03B2;&#x03B2;, &#x03B1;&#x03B2;&#x03B2;&#x03B2;&#x03B2;, &#x03B2;&#x03B2;&#x03B2;&#x03B2;&#x03B2;, &#x03B2;&#x03B2;&#x03B2;, &#x03B1;&#x03B2;&#x03B2;</td>
<td valign="top" align="center">4.1 (0&#x2013;10.4)</td>
<td valign="top" align="center">11.4</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">&#x03B1;&#x03B1;&#x03B2;&#x03B2;&#x03B2;, &#x03B1;&#x03B1;&#x03B1;&#x03B2;&#x03B2;</td>
<td valign="top" align="center">13.6 (6.5&#x2013;33.9)</td>
<td valign="top" align="center">36.2</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B2;&#x03B2;, &#x03B1;&#x03B1;&#x03B1;&#x03B2;&#x03B2;&#x03B2;</td>
<td valign="top" align="center">22.5 (10.5&#x2013;39.5)</td>
<td valign="top" align="center">62.2</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B2;&#x03B2;</td>
<td valign="top" align="center">27.3 (23.4&#x2013;40)</td>
<td valign="top" align="center">88.8</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B2;&#x03B2;&#x03B2;, &#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B2;&#x03B2;</td>
<td valign="top" align="center">37 (25.5&#x2013;62.7)</td>
<td valign="top" align="center">115.9</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B2;&#x03B2;</td>
<td valign="top" align="center">87 (NA)</td>
<td valign="top" align="center">171.2</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B1;&#x03B2;&#x03B2;</td>
<td valign="top" align="center">133 (110&#x2013;156)</td>
<td valign="top" align="center">285.1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>Adapted from Chovanec et al. (<xref ref-type="bibr" rid="B17">17</xref>). BST, basal serum tryptase.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s1c"><title>Assays for both tryptase genotyping and serum tryptase</title>
<p>Comparison of an individual&#x0027;s tryptase genotype to their BST value is necessary to determine whether their BST is elevated. Tryptase genotyping refers to clinical assays designed to report a summation of the &#x03B1; and &#x03B2; tryptase allele copy numbers encoded at the <italic>TPSAB1</italic> and <italic>TPSB2</italic> genes. A digital droplet polymerase chain reaction (ddPCR) assay using primer and probe sets for &#x03B1;- and &#x03B2;-tryptase to quantify &#x03B1;- and &#x03B2;-tryptase allele copy number was developed in 2016 (<xref ref-type="bibr" rid="B16">16</xref>). This method is now available in a few select commercial laboratories in the United States. The &#x03B1; and &#x03B2; allele copy number reported in ddPCR assays typically allows one to determine tryptase haplotypes for both chromosomes in the individual tested. However, in some cases, &#x03B1; and &#x03B2; copy number may correspond to multiple possible haplotypes instead of only one haplotype. Additionally, the &#x03B2; tryptase allele copy number reported does not distinguish between &#x03B2;I, &#x03B2;II, &#x03B2;III, or &#x03B2;III<sup>FS</sup> alleles.</p>
<p>Since 2016, three additional clinical tryptase genotyping assays have been reported. Two studies have reported a multiplex ddPCR assay, which allows for quantification of &#x03B1;- and &#x03B2;-tryptase copy counts in a single reaction. Compared to the original ddPCR assay, the multiplex ddPCR may have a lower cost and runtime, and a strong correlation with BST and overall accuracy (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). A second reported method is the target amplicon next-generation sequencing (NGS) assay, which utilizes machine learning models to identify polymorphisms at <italic>TPSAB1</italic> and <italic>TPSB2</italic> genes (<xref ref-type="bibr" rid="B35">35</xref>). In this study, this NGS assay accurately estimated 96&#x0025; of both &#x03B1; and &#x03B2;III<sup>FS</sup> tryptase alleles, and 94&#x0025; of extra &#x03B1; alleles on <italic>TPSAB1</italic> (<xref ref-type="bibr" rid="B35">35</xref>). Neither the multiplex nor NGS methods are commercially available.</p>
<p>Several serum tryptase assays have been developed over time and a few are described here. The first assays utilized a low sensitivity mouse monoclonal G5 anti-tryptase antibody which can detect linear epitopes on denatured tryptase. Initially, a sandwich enzyme-linked immunosorbent assay (ELISA) utilizing the G5 capture antibody with a goat polyclonal anti-tryptase detector antibody was developed (<xref ref-type="bibr" rid="B36">36</xref>). Then, a sandwich radioimmunoassay was developed utilizing the G5 capture antibody with a mouse monoclonal G4 detector antibody (<xref ref-type="bibr" rid="B37">37</xref>). The assays developed next utilize the more sensitive mouse monoclonal B12 antibody. The B12 antibody detects epitopes of tetrameric and denatured linear tryptase. Initially, an ELISA was developed that utilized the B12 capture antibody with a biotin-G4 detector antibody (<xref ref-type="bibr" rid="B38">38</xref>). Clinical serum tryptase testing now utilizes quantitative fluorescent-based immunoassays (e.g., ImmunoCAP) using the B12 capture antibody to measure total tryptase, reported as one value corresponding to the sum of both mature tetrameric tryptase and monomeric &#x03B1;- and &#x03B2;-protryptases.</p>
</sec>
<sec id="s1d"><title>Systemic mastocytosis</title>
<p>There are three types of mastocytosis: cutaneous mastocytosis (CM), systemic mastocytosis (SM), and MC sarcoma. The three subtypes of CM include maculopapular CM (MPCM), diffuse CM, and mastocytoma (<xref ref-type="bibr" rid="B39">39</xref>). MPCM can be polymorphic or monomorphic. SM subtypes include bone marrow mastocytosis (BMM), indolent SM (ISM), smoldering SM (SSM), aggressive SM (ASM), SM with an associated hematologic neoplasm (SM-AHN), and MC leukemia (MCL). BMM, ISM, and SSM are non-advanced (non-AdvSM) and ASM, SM-AHN, and MCL are advanced subtypes (AdvSM). Well-differentiated SM is a morphologic pattern occurring in any SM subtype and is characterized by enlarged round and well-granulated MCs (<xref ref-type="bibr" rid="B13">13</xref>). A diagnosis of SM is established when at least 1 major and 1 minor or 3 minor criteria are met, as detailed in the 5th edition of the WHO diagnostic criteria (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>) (<xref ref-type="bibr" rid="B13">13</xref>). Monoclonal mast cell activation syndrome (MMAS) occurs when the WHO major criterion is not met and only two minor criteria are met. SM subtypes are determined based on the presence of B (disease &#x201C;burden&#x201D;) and C (need for &#x201C;cytoreductive&#x201D; treatment) findings (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>) (<xref ref-type="bibr" rid="B13">13</xref>). Patients with BMM have no B or C findings, the BST should be &#x003C;125 ng/ml, and they have no skin involvement. ISM patients can have only 1 B finding, SSM patients must have 2 or more B findings, and ASM patients have one or more C findings. MCL requires &#x2265;20&#x0025; neoplastic mast cells in the BM aspirate (<xref ref-type="bibr" rid="B13">13</xref>). Greater than 90&#x0025; of patients with SM have the activating mutation <italic>KIT</italic> c.2447 C&#x2009;&#x003E;&#x2009;T p.D816V (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>2022 World Health Organization SM criteria.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
</colgroup>
<tbody>
<tr>
<th valign="top" align="left" colspan="1">Major SM Criterion</th>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>1.</label>
<p>Multifocal dense infiltrates of MCs (&#x2265;15 MCs in aggregates) in BM biopsies and/or in sections of other extracutaneous organ(s)</p></list-item>
</list></td>
</tr>
<tr>
<th valign="top" align="left" colspan="1">Minor SM Criteria</th>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>1.</label>
<p>&#x2265;25&#x0025; of all MCs are atypical cells (type I or type II) on BM smears or are spindle-shaped in MC infiltrates detected on sections of BM or other extracutaneous organs</p></list-item>
</list></td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>2.</label>
<p><italic>KIT</italic> point mutation at codon 816 or in other critical regions of <italic>KIT</italic> in the BM or another extracutaneous organ</p></list-item>
</list></td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>3.</label>
<p>MCs in BM or blood or another extracutaneous organ exhibit CD2 and/or CD25 and/or CD30</p></list-item>
</list></td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>4.</label>
<p>Baseline serum tryptase level &#x003E;20&#x2005;ng/ml (in case of an unrelated myeloid neoplasm, an elevated tryptase is not valid as an SM criterion. In case of known H&#x03B1;T, tryptase level should be adjusted)</p></list-item>
</list></td>
</tr>
<tr>
<td valign="top" align="left">If at least 1 major and 1 minor or 3 minor SM criteria are fulfilled, the diagnosis of SM can be established</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>Adapted from Khoury et al. (<xref ref-type="bibr" rid="B13">13</xref>).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>2022 World Health Organization B- and C-findings.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
</colgroup>
<tbody>
<tr>
<th valign="top" align="left" colspan="1">B Findings:</th>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>1.</label>
<p>High MC burden showing infiltration in BM&#x2009;&#x2265;&#x2009;30&#x0025; and/or serum tryptase &#x2265;200&#x2005;ng/ml and/or <italic>KIT</italic> p.D816V VAF&#x2009;&#x2265;&#x2009;10&#x0025; in BM or peripheral blood</p></list-item>
</list></td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>2.</label>
<p>Signs of myeloproliferation and/or myelodysplasia not fulfilling criteria for AHN</p></list-item>
</list></td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>3.</label>
<p>Hepatomegaly on palpation or imaging (ultrasound, CT, or MRI) without ascites or other signs of organ damage and/or splenomegaly on palpation or imaging without hypersplenism and/or lymphadenopathy on palpation or imaging (&#x003E; 20&#x2005;mm)</p></list-item>
</list></td>
</tr>
<tr>
<th valign="top" align="left" colspan="1">C Findings:</th>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>1.</label>
<p>Cytopenia(s) (one or more found): absolute neutrophil count &#x003C;1&#x2009;&#x00D7;&#x2009;10<sup>9</sup>/L, hemoglobin &#x003C;10&#x2005;g/dl, platelet count 100&#x2009;&#x00D7;&#x2009;10<sup>9</sup>/L</p></list-item>
</list></td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>2.</label>
<p>Hepatopathy: ascites and elevated liver enzymes&#x2009;&#x00B1;&#x2009;hepatomegaly or cirrhotic liver&#x2009;&#x00B1;&#x2009;portal hypertension</p></list-item>
</list></td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>3.</label>
<p>Palpable splenomegaly with hypersplenism&#x2009;&#x00B1;&#x2009;weight loss&#x2009;&#x00B1;&#x2009;hypoalbuminemia</p></list-item>
</list></td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>4.</label>
<p>Malabsorption with hypoalbuminemia&#x2009;&#x00B1;&#x2009;weight loss</p></list-item>
</list></td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>5.</label>
<p>Large-sized osteolysis (&#x2265; 20&#x2005;mm)&#x2009;&#x00B1;&#x2009;pathologic fracture&#x2009;&#x00B1;&#x2009;bone pain</p></list-item>
</list></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn3"><p>Adapted from Khoury et al. (<xref ref-type="bibr" rid="B13">13</xref>). AHN, associated hematological neoplasm; MC, mast cell; BM, bone marrow; VAF, variant allele frequency.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>SM is rare with a prevalence of 0.9&#x2013;1.7 per 10,000 individuals, of which ISM is the most common subtype (<xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B44">44</xref>). ISM with skin lesions and BMM together represent approximately 82&#x0025;&#x2013;91&#x0025; of all SM patients (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>). Other less prevalent subtypes include SSM occurring in 4.3&#x0025;&#x2013;7.1&#x0025;, SM-AHN in 3.1&#x2013;13.5&#x0025;, ASM in 5.1&#x0025;&#x2013;9.7&#x0025;, and MCL in 1-7&#x0025;&#x2013;4.8&#x0025; of all SM patients (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B45">45</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). Each SM subtype has different prognostic implications. Patients with SSM have a higher risk of progression to AdvSM at 9.4&#x0025;&#x2013;15&#x0025; compared to ISM and BMM at 4.9&#x0025; and 1.7&#x0025;, respectively, over a median follow-up period of 2.0&#x2013;4.3 years (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). A large cohort of patients with a median follow-up time of 62 months demonstrated a 10-year progression-free survival rate of 100&#x0025; in BMM, 98.1&#x0025; in ISM with skin lesions, 87.4&#x0025; in SM-AHN, 62.5&#x0025; in SSM, and 55.6&#x0025; in ASM (<xref ref-type="bibr" rid="B41">41</xref>). Although patients with ISM generally have a near-normal life expectancy, the median survival in advanced forms is significantly less with 3&#x2013;5 years for SM-AHN, 3&#x2013;4 years for ASM, and 0.5&#x2013;1.6 years for MCL (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B52">52</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>).</p>
<p>Heterogeneity of SM clinical presentations and access to high complexity testing likely contributes to diagnostic delays with a median time to diagnosis of 7 years across all subtypes, with delays being highest in patients with non-AdvSM (<xref ref-type="bibr" rid="B55">55</xref>). Patients may experience frequent and debilitating cutaneous, gastrointestinal, musculoskeletal, and neurocognitive symptoms that impact quality of life (<xref ref-type="bibr" rid="B56">56</xref>&#x2013;<xref ref-type="bibr" rid="B59">59</xref>). Around half of SM patients report a history of one or more anaphylaxis episodes and the grade of anaphylaxis is usually severe. Anaphylaxis in SM patients can be triggered by Hymenoptera envenomation, foods, drugs, or be idiopathic (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>). Osteoporosis and fragility fractures may occur in up to 30&#x0025; and 50&#x0025; of SM patients, respectively. Osteoporosis and fractures are more prevalent in ISM than AdvSM, with the latter showing more osteosclerosis (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B63">63</xref>&#x2013;<xref ref-type="bibr" rid="B66">66</xref>). Skin lesions are also reported in around half of SM patients (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B67">67</xref>). Additionally, nearly half of patients with non-AdvSM may present with BST values &#x003C;20&#x2005;ng/ml. SM patients with low BST values may experience delays in obtaining diagnostic bone marrow (BM) biopsies due to a perception that their BST values are too low to be consistent with SM. This is most often true of patients with ISM and BMM, and less commonly with SM-AHN (<xref ref-type="bibr" rid="B67">67</xref>&#x2013;<xref ref-type="bibr" rid="B70">70</xref>). Access to high-complexity testing, including mast cell flow cytometry, high-sensitivity quantitative <italic>KIT</italic> p.D816V assays, and tryptase genotyping is not uniform across institutions. Overcoming these barriers is important as there are now disease-modifying selective TKIs that improve the morbidity and prognosis of SM.</p>
</sec>
<sec id="s1e"><title>Tryptase genotyping in SM screening</title>
<p>Screening for SM has historically been challenging due to the disease&#x0027;s variable clinical presentation. Advances in the last 15 years have led to an optimized screening strategy (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). The first milestone occurred in 2010 with the development of a clinical and laboratory scoring system known as the Red Espa&#x00F1;ola de Mastocitosis (REMA) score (<xref ref-type="bibr" rid="B71">71</xref>). Eighty-three patients with a history of anaphylaxis, but no mastocytosis-in-skin, were assessed for variables that might predict the presence of SM. A multivariate analysis demonstrated that male sex, BST values &#x003E;25&#x2005;ng/ml, as well as clinical manifestations during anaphylaxis of syncope or presyncope, and the absence of urticaria and angioedema were linked to SM. Syncope or presyncope during an episode of anaphylaxis were the most tightly linked clinical findings. The specificity of the REMA score is 74&#x0025; (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B72">72</xref>). The REMA score sensitivity is challenging to determine since approximately half of patients with SM may have no history of anaphylaxis. Among SM patients who experience at least one episode of anaphylaxis but without skin involvement, the sensitivity of the REMA score is 87&#x0025; (<xref ref-type="bibr" rid="B72">72</xref>). Among all SM patients, regardless of history of anaphylaxis or skin involvement, the sensitivity of the REMA score is 34&#x0025; (<xref ref-type="bibr" rid="B67">67</xref>).</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Screening algorithm for systemic mastocytosis. Clinicians should assess for a history of anaphylaxis, perform a skin exam, and assess for other SM risk factors. Tryptase genotyping is especially important in patients with anaphylaxis as well as patients with other SM risk factors. Additionally, some patients with monomorphic MPCM may be lacking a confirmatory skin biopsy and an elevated BST based upon an individual&#x0027;s tryptase genotype could obviate the need to perform a skin biopsy. &#x002A;Other risk factors include flushing, unexplained osteoporosis, pathologic fracture, splenomegaly, and blood count abnormalities. Additional less specific risk factors include headache, diarrhea, fatigue, difficulty concentrating, and poor memory. Adapted with permission from &#x201C;<ext-link ext-link-type="uri" xlink:href="https://www.jaci-inpractice.org/article/S2213-2198(24)00853-5/abstract">Screening approach to clonal mast cell disease in patients with Hymenoptera venom allergy (HVA)</ext-link>&#x201D; by Nathan A. Boggs, Ilaria Tanasi, Karin Hartmann, Roberta Zanotti, and David Gonzalez-de-Olano, licensed under <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en">CC BY-NC-ND</ext-link>.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="falgy-06-1599358-g002.tif"/>
</fig>
<p>The second major change to the overall SM screening approach was proposed in 2014. An analysis of 59 patients with adult-onset MPCM demonstrated that 97&#x0025; of these patients had SM, indicating that adult-onset MPCM is specific for systemic disease (<xref ref-type="bibr" rid="B73">73</xref>). It is not clear whether any of these adult patients might have had polymorphic MPCM since polymorphic MPCM is nearly always found in children and polymorphic and monomorphic terminology was not in use at the time of the study. Notably, around half of SM patients may have skin involvement and most of these patients are thought to have adult-onset MPCM. A subsequent study in 2024 demonstrated that monomorphic MPCM is tightly linked to SM with a specificity of 97&#x0025; (<xref ref-type="bibr" rid="B67">67</xref>).</p>
<p>Tryptase genotyping became clinically available around 2020 in the United States. The first study to assess the benefit of tryptase genotyping in SM screening was published in 2022 and assessed a group of 58 patients. SM and other myeloid neoplasms were found to be enriched in patients with elevated BST values who did not have H&#x03B1;T. Specifically, in patients with a BST value &#x2265;11.5&#x2005;ng/ml, 63&#x0025; had H&#x03B1;T, 20&#x0025; had myeloid neoplasms, and 12&#x0025; had CKD. These results suggested that myeloid neoplasms are much more likely to be present in those with elevated BST, when H&#x03B1;T is absent (<xref ref-type="bibr" rid="B11">11</xref>). A second study to assess the benefit of tryptase genotyping in patients with elevated BST who do not have CKD was published in 2023. A group of 409 patients with elevated BST were screened for H&#x03B1;T and myeloid neoplasms. Of these 409 with BST &#x2265;11.5&#x2005;ng/ml, 74&#x0025; had H&#x03B1;T and 29&#x0025; had SM or another myeloid neoplasm (<xref ref-type="bibr" rid="B17">17</xref>). Finally, a third study assessed screening testing accuracy among a variety of screening tests including an elevated BST based upon tryptase genotype, BST &#x2265;11.5&#x2005;ng/ml, BST &#x2265;20&#x2005;ng/ml, and REMA combined with an elevated BST based upon tryptase genotype. This study demonstrated that the single most accurate screening test for SM, based on Youden&#x0027;s index which is a value based on the sum of the sensitivity and specificity, was elevated BST based upon tryptase genotype with a sensitivity of 84&#x0025; and specificity of 90&#x0025;. Further, it was found that the REMA score combined with elevated BST based upon tryptase genotype had a substantially improved specificity over the REMA score alone (<xref ref-type="bibr" rid="B70">70</xref>). An elevated BST based upon an individual&#x0027;s tryptase genotype may also be helpful when there is uncertainty in the diagnosis of anaphylaxis due to absence of a trigger (e.g., Hymenoptera venom) or when anaphylaxis occurs with mild symptoms such as lightheadedness rather than syncope.</p>
<p>SM is linked to other clinical manifestations that, on their own, may be less specific for SM, including osteoporosis, large osteosclerotic bone lesions, flushing, chronic diarrhea, fatigue, frequent headaches, and more. In 2024, one study assessed the combination of unexplained osteoporosis in patients with either elevated BST or symptoms of MC activation (<xref ref-type="bibr" rid="B74">74</xref>). The authors noted that common causes of osteoporosis had been excluded though it was not explicitly stated which causes those were. Nonetheless, the authors assessed 139 patients and showed that SM is more common in patients with osteoporosis and BST &#x2265;11.5&#x2005;ng/ml, if they also had BST &#x003E;19&#x2005;ng/ml, vertebral fractures, and were &#x003C;54 years old. They developed several scoring systems designed to predict who might have SM in those with unexplained osteoporosis and elevated BST. The scoring test has a sensitivity of 71&#x0025; and specificity of 67&#x0025;. When BST &#x003E;19&#x2005;ng/ml was removed and replaced with an elevated BST based upon genotype, the scoring system had an improved sensitivity of 87&#x0025; and specificity of 76&#x0025;.</p>
<p>Some centers may not yet have access to tryptase genotyping. Measurement of MC mediators or metabolites, including leukotriene E<sub>4</sub> (LTE<sub>4</sub>), N-methylhistamine (NMH), and 11 &#x03B2;-prostaglandin F2 &#x03B1; (BPG), in urine samples represent another means to assess the pretest probability of SM (<xref ref-type="bibr" rid="B75">75</xref>&#x2013;<xref ref-type="bibr" rid="B77">77</xref>). The most specific urinary mediator was found to be NMH with a specificity of 88&#x0025; (<xref ref-type="bibr" rid="B78">78</xref>). It is not clear how sensitive NMH and other urinary mediators are in SM screening in patients with a low disease burden as prior studies excluded patients with low BST values or did not describe the SM disease burden of their cohort. The relative accuracy of urinary mediators in predicting SM has not yet been directly compared to BST combined with tryptase genotyping, monomorphic MPCM, or the REMA score.</p>
</sec>
<sec id="s1f"><title>Importance of tryptase genotyping in SM diagnostic testing and subtyping</title>
<p>The diagnosis of SM relies on determining whether the WHO major and minor criteria are met by an experienced hematopathologist. Notably, the minor criterion of BST &#x2265;20&#x2005;ng/ml was first introduced into the WHO SM diagnostic criteria in 2001, based on the idea that most patients with SM have BST values &#x003E;20&#x2005;ng/ml (<xref ref-type="bibr" rid="B79">79</xref>). Data supporting a specific diagnostic BST cutoff of &#x003E;20&#x2005;ng/ml, rather than other elevated BST values, is limited. One study showed that as many as 50&#x0025; of SM patients may have BST values &#x003C;20&#x2005;ng/ml (<xref ref-type="bibr" rid="B67">67</xref>). The 5th edition of the WHO classification published in 2022 recommended adjustment of BST in case of H&#x03B1;T, although a specific manner of adjustment was not provided (<xref ref-type="bibr" rid="B13">13</xref>). The 2022 International Consensus Classification (ICC) of myeloid neoplasms and acute leukemias did not include adjustment of BST in the case of H&#x03B1;T (<xref ref-type="bibr" rid="B14">14</xref>). Neither the WHO nor the ICC included adjustment of BST in the case of H&#x03B1;T for a BST &#x003E;200&#x2005;ng/ml, which is a B-finding, or for a BST &#x003E;125&#x2005;ng/ml in patients with non-AdvSM and no skin lesions. Predicted median and upper 99.5&#x0025; BST values for incremental tandem <italic>TPSAB1</italic> &#x03B1; allele replications has been reported (<xref ref-type="bibr" rid="B17">17</xref>). An online calculator that adjusts BST using a correction factor based on <italic>TPSAB1</italic> &#x03B1; allele replication number also has been published (<ext-link ext-link-type="uri" xlink:href="https://bst-calculater.niaid.nih.gov">https://bst-calculater.niaid.nih.gov</ext-link>) (<xref ref-type="bibr" rid="B17">17</xref>). Finally, a recent proposal has recommended harmonization of diagnostic criteria across organizations and to adjust for H&#x03B1;T by dividing the BST by 1 plus the extra copies of the <italic>TPSAB1</italic> &#x03B1; allele in order to determine whether SM criteria are met and whether the B-finding of BST &#x003E;200&#x2005;ng/ml is present. The importance of tryptase genotyping to determine whether an SM subtype is BMM in a patient with non-AdvSM, no B or C findings, and without skin lesions when the BST is &#x003E;125&#x2005;ng/ml was not specifically addressed (<xref ref-type="bibr" rid="B80">80</xref>).</p>
<p>There are several factors to consider when an SM diagnosis or subtype depends specifically on BST values. First, greater than 95&#x0025; of patients with SM have disease driven by the <italic>KIT</italic> p.D816V mutation. MC spindling and expression of CD25 are found in nearly all cases where <italic>KIT</italic> p.D816V is detected in either peripheral blood or BM, even when the VAF approaches the limit of detection using clinically validated high-sensitivity PCR clinical assays (<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B82">82</xref>). Thus, BST values are not typically required to establish an SM diagnosis unless suboptimal diagnostic testing is employed. Second, it would be advantageous for allergy, hematology, and pathology teams to consistently employ tryptase genotyping in every suspected case of SM. This may be challenging in the short term as some centers currently do not have access to tryptase genotyping. It is worth noting that SM patients with relatively high BST values and a higher rate of H&#x03B1;T occurrence may be preferentially referred for BM biopsies compared to SM patients with lower BST values and this supports the need to employ tryptase genotyping in all SM diagnostic evaluations (<xref ref-type="bibr" rid="B67">67</xref>). Third, it is likely best to avoid the use of BST &#x2265;20&#x2005;ng/ml as a minor criterion, BST&#x2009;&#x003E;&#x2009;200&#x2005;ng/ml as a B-finding, and BST &#x003E;125&#x2005;ng/ml for BMM/ISM subtype determination in the absence of tryptase genotyping. The impact of not having tryptase genotyping available when BST is &#x003E;200&#x2005;ng/ml (B-finding of increased MC burden) is partially mitigated by the fact that the same B finding can be met in other ways (i.e., high <italic>KIT</italic> p.D816 V VAF&#x2009;&#x2265;&#x2009;10&#x0025; and/or MCs&#x2009;&#x2265;&#x2009;30&#x0025; in the BM biopsy). Also, the BST &#x003E;20&#x2005;ng/ml minor criterion seems to be less important in most cases of AdvSM and SSM as the major criterion is typically met. Lastly, the original use of BST &#x2265;20&#x2005;ng/ml, as opposed to other elevated BST values, appears to be based on limited data. Future discussion should consider what role BST values should play in SM diagnostic criteria. The value of using BST as a minor criterion may be highest in individuals with atypical <italic>KIT</italic> mutations when the major SM criterion is not met, when all other BM diagnostic testing is adequate, and the case has been reviewed by an experienced hematopathologist.</p>
</sec>
<sec id="s1g"><title>BST monitoring in SM patients treated with tyrosine kinase inhibitors</title>
<p>Tryptase genotyping is important in the management of SM patients treated with TKIs. There have been several recent advances in the use of TKI treatments for SM. Three TKIs have been FDA approved for AdvSM including midostaurin, imatinib, and avapritinib. Tryptase genotypes of patients with AdvSM enrolled in these TKI trials were not assessed (<xref ref-type="bibr" rid="B83">83</xref>&#x2013;<xref ref-type="bibr" rid="B87">87</xref>). Most patients with SM have a non-advanced subtype (BMM, ISM, or SSM). Low dose avapritinib at 25&#x2005;mg daily was recently FDA approved for patients with ISM and is the first FDA approved treatment for patients with this SM subtype (<xref ref-type="bibr" rid="B88">88</xref>). Preliminary data from the PIONEER study shows a similar percentage of reduction in MC burden (i.e., serum tryptase and <italic>KIT</italic> p.D816V VAF) in patients with and without H&#x03B1;T treated with a low dose of the selective <italic>KIT</italic> p.D816V inhibitor avapritinib (<xref ref-type="bibr" rid="B89">89</xref>). There are several ongoing clinical trials including with avapritinib (NCT06327685, NCT03731260), bezuclastinib (NCT04996875, NCT05186753), elenestinib (NCT05609942, NCT04910685), and masitinib (NCT04333108).</p>
<p>Serial BST values, in addition to <italic>KIT</italic> p.D816V VAFs, measured in SM patients after a period of TKI treatment, may help guide when to repeat a BM biopsy to determine whether the SM neoplasm is in pathological remission. BST values are an indirect marker of BM MC burden. It is important to note that BST values in patients with SM likely represent a summation of the tryptase secreted by both neoplastic as well as wild-type MCs, and basophils to a lesser degree. BST values in SM patients, excluding those with SM-AHN where the AHN may also contribute to elevated BST values, who do not have H&#x03B1;T would be expected to fully normalize on a disease-modifying TKI therapy. In contrast, based on our experience, BST values in SM patients with H&#x03B1;T (excluding those with SM-AHN) assessed after a period of treatment with a disease-modifying TKI may not normalize BST values. Persistent BST elevations in patients with SM and unknown H&#x03B1;T status on TKI therapy are at significant risk. First, they risk effective therapy being discontinued under a false assumption that the TKI therapy is not effectively reducing the BST to &#x201C;normal&#x201D; values. Second, they risk unnecessary TKI dose escalations which are not indicated. Thus, tryptase genotyping is recommended for all patients with SM undergoing TKI treatment.</p>
<p>The half maximal inhibitory concentrations (IC<sub>50</sub>) of TKIs for wild type KIT and KIT D816V assessed in patients with SM have been previously reported and representative values are shown for a variety of TKIs in <xref ref-type="table" rid="T4">Table 4</xref> (<xref ref-type="bibr" rid="B90">90</xref>&#x2013;<xref ref-type="bibr" rid="B96">96</xref>). It is not clear what IC<sub>50</sub> level and what dose of each specific TKI might lead to BST normalization in SM patients with H&#x03B1;T. Our experience has been that avapritinib 25&#x2005;mg daily does not lead to normalization of BST values (BST &#x003C;11.5&#x2005;ng/ml) in patients with SM and H&#x03B1;T while it is too early to tell for other TKIs. Future studies should aim to determine whether each specific KIT inhibitor might lead to normalization of BST values in SM patients with and without H&#x03B1;T. Knowing whether to expect BST normalization or not would be helpful to guide when to perform an interval BM biopsy in these patients to assess for remission.</p>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Inhibitory activity of Various tyrosine kinase inhibitors.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">TKI</th>
<th valign="top" align="center">IC<sub>50</sub> WT KIT</th>
<th valign="top" align="center">IC<sub>50</sub> KIT D816V</th>
<th valign="top" align="center">Reference(s)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Avapritinib</td>
<td valign="top" align="center">89.5&#x2005;nM</td>
<td valign="top" align="center">3.1&#x2013;13.0&#x2005;nM</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B93">93</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Bezuclastinib</td>
<td valign="top" align="center">32.5&#x2005;nM</td>
<td valign="top" align="center">3.4&#x2013;14.0&#x2005;nM</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B93">93</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Dasatinib</td>
<td valign="top" align="center">79.0&#x2005;nM</td>
<td valign="top" align="center">37.0&#x2005;nM</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B94">94</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Elenestinib</td>
<td valign="top" align="center">82.6&#x2005;nM</td>
<td valign="top" align="center">3.1&#x2013;6.0&#x2005;nM</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B93">93</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Imatinib</td>
<td valign="top" align="center">100&#x2005;nM</td>
<td valign="top" align="center">&#x003E; 10,000.0&#x2005;nM</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B95">95</xref>, <xref ref-type="bibr" rid="B96">96</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Masitinib</td>
<td valign="top" align="center">200.0&#x2005;nM</td>
<td valign="top" align="center">10,000.0&#x2005;nM</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B97">97</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Midostaurin</td>
<td valign="top" align="center">3.0&#x2013;30.0&#x2005;nM</td>
<td valign="top" align="center">100.0&#x2013;300.0&#x2005;nM</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B98">98</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Nilotinib</td>
<td valign="top" align="center">30.0&#x2013;300.0&#x2005;nM</td>
<td valign="top" align="center">1,000.0&#x2013;3,000.0&#x2005;nM</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B98">98</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn4"><p>IC<sub>50</sub>, half maximal inhibitory concentration; TKI, tyrosine kinase inhibitor; WT, wild type.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s2" sec-type="conclusions"><title>Conclusions</title>
<p>Tryptase and tryptase genotyping assessments are essential in the screening, diagnosis, and management of SM. Patients with an elevated BST based upon their tryptase genotype should be offered a BM biopsy at a center with a hematopathologist expert to evaluate for SM. Tryptase genotyping as it relates to the WHO minor criterion BST &#x003E;20&#x2005;ng/ml, may be most important in the diagnosis of MMAS, BMM, and ISM, when there is minimal involvement of MCs in the BM such that the major criterion is not met. Tryptase genotyping is also needed to determine whether a patient with non-AdvSM has BMM if their BST is &#x003C;125&#x2005;ng/ml and whether the B-finding of BST &#x003E;200 ng/ml is present. In patients with SM treated with a TKI, understanding a patient&#x0027;s BST value in relation to their tryptase genotype may help guide the decision on when to repeat a BM biopsy to assess for remission. Finally, ongoing clinical trials with selective TKIs should report on whether patients with SM and H&#x03B1;T have normalization or persistent elevation of BST values due to variable inhibition of wild type KIT and KIT D816V, as the potential BST nadir impacts the decision on when to pursue a BM biopsy.</p>
</sec>
</body>
<back>
<sec id="s3" sec-type="author-contributions"><title>Author contributions</title>
<p>JCM: Investigation, Resources, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Conceptualization. BJS: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. JV: Visualization, Writing &#x2013; review &#x0026; editing. TIG: Investigation, Writing &#x2013; review &#x0026; editing. NAB: Resources, Writing &#x2013; review &#x0026; editing, Investigation, Conceptualization, Writing &#x2013; original draft.</p>
</sec>
<sec id="s4" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>We thank Sofia C. Echelmeyer of the Uniformed Services University for her assistance with figure illustrations. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, Uniformed Services University, or Department of Defense; nor does mention of trade names, commercial products, or organizations imply endorsement by the US Government.</p>
</ack>
<sec id="s5" sec-type="COI-statement"><title>Conflict of interest</title>
<p>Author JCM has received consulting fees from Cogent Biosciences. Author NAB has received consultng fees from Blueprint Medicines Corporation. Author TIG receives salary support from ARUP Laboratories. TIG has received consulting fees from Beckman Coulter, Blueprint Medicines Corporation, Cogent Biosciences, and Incyte.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s6" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s7" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="ab001"><p>ASM, aggressive systemic mastocytosis; BM, bone marrow; BMM, bone marrow mastocytosis; BST, basal serum tryptase; CM, cutaneous mastocytosis; DCM, diffuse cutaneous mastocytosis; H&#x03B1;T, hereditary-alpha tryptasemia; ICC, International Consensus Classification; ISM, indolent systemic mastocytosis; MC, mast cell; MCL, mast cell leukemia; MPCM, maculopapular cutaneous mastocytosis; SSM, smoldering systemic mastocytosis; SM, systemic mastocytosis; SM-AHN, systemic mastocytosis with an associated hematologic neoplasm; VAF, variant allele frequency; WHO, World Health Organization.</p></fn>
</fn-group>
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