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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pediatr.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Pediatrics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2025.1629840</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Incidence and disease spectrum of inherited metabolic diseases screened by tandem mass spectrometry in Huai&#x0027;an from 2018 to 2024</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Ou</surname><given-names>Ming-ming</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Sun</surname><given-names>Chun-tao</given-names></name>
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<name><surname>Zhang</surname><given-names>Li</given-names></name>
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<name><surname>Kong</surname><given-names>Ling-li</given-names></name>
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<name><surname>Zhang</surname><given-names>Lin-xin</given-names></name>
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<name><surname>Zheng</surname><given-names>Jun</given-names></name>
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<name><surname>Zhang</surname><given-names>Pei-ying</given-names></name>
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<name><surname>Wang</surname><given-names>Yu-mei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Lin</surname><given-names>Xiao-fei</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<name><surname>Yang</surname><given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><label>1</label><institution>Neonatal Disease Screening Center, Huai&#x0027;an Maternal and Child Health Care Hospital Affiliated to Yangzhou University</institution>, <city>Huai&#x0027;an</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Neonatal Disease Screening Center, The Huai&#x0027;an Maternity and Child Clinical College of Xuzhou Medical University</institution>, <city>Huai&#x0027;an</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Child Health, Huai&#x0027;an Maternal and Child Health Care Hospital Affiliated to Yangzhou University</institution>, <city>Huai&#x0027;an</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Child Health, The Huai&#x0027;an Maternity and Child Clinical College of Xuzhou Medical University</institution>, <city>Huai&#x0027;an</city>, <country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Pediatrics, Huai&#x0027;an Maternal and Child Health Care Hospital Affiliated to Yangzhou University</institution>, <city>Huai&#x0027;an</city>, <country country="cn">China</country></aff>
<aff id="aff6"><label>6</label><institution>Department of Pediatrics, The Huai&#x0027;an Maternity and Child Clinical College of Xuzhou Medical University</institution>, <city>Huai&#x0027;an</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Yu-mei Wang<email xlink:href="mailto:13770357882@yzu.edu.cn">13770357882@yzu.edu.cn</email>Xiao-fei Lin <email xlink:href="mailto:13861561310@yzu.edu.cn">13861561310@yzu.edu.cn</email> Xin Yang <email xlink:href="mailto:yx801005@126.com">yx801005@126.com</email></corresp>
<fn fn-type="equal" id="an1"><label>&#x2020;</label><p>These authors share first authorship</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-21"><day>21</day><month>11</month><year>2025</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2025</year></pub-date>
<volume>13</volume><elocation-id>1629840</elocation-id>
<history>
<date date-type="received"><day>26</day><month>05</month><year>2025</year></date>
<date date-type="accepted"><day>31</day><month>10</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Ou, Sun, Zhang, Kong, Zhang, Zheng, Zhang, Wang, Lin and Yang.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Ou, Sun, Zhang, Kong, Zhang, Zheng, Zhang, Wang, Lin and Yang</copyright-holder><license><ali:license_ref start_date="2025-11-21">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://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.</license-p></license>
</permissions>
<abstract><sec><title>Objectives</title>
<p>This study aimed to determine the incidence and disease spectrum of inherited metabolic diseases (IMDs) among newborns in Huai&#x0027;an City, China.</p>
</sec><sec><title>Methods</title>
<p>Expanded newborn screening for IMDs using tandem mass spectrometry (MS/MS) enables the simultaneous analysis of more than 40 metabolites and the identification of approximately 50 types of IMDs. Next-generation sequencing (NGS), targeting hundreds of IMD-associated genes, was subsequently performed for genetic analysis of patients identified through screening. Between June 2018 and December 2024, in total, 161,966 newborns in Huai&#x0027;an were screened using MS/MS. Ultimately, 57 patients were diagnosed with IMDs based on plasma amino acid and acylcarnitine profiling, urinary organic acid analysis, and molecular genetic testing, performed via NGS. Data were analyzed using descriptive statistics.</p>
</sec><sec><title>Results</title>
<p>Fifty-seven cases of IMDs were diagnosed, corresponding to an overall incidence rate of 1 in 2,842. Among these, 28 cases involved amino acid metabolism disorders (1 in 5,785), 17 cases of organic acid metabolism disorders (1 in 9,527), and 12 cases of fatty acid oxidation disorders (1 in 13,497). The three most common IMDs were phenylalanine hydroxylase deficiency (1 in 8,098), primary carnitine deficiency (1 in 23,138), and methylmalonic acidemia (1 in 32,393). Genetic testing revealed variants in all 57 patients, with 75 variants identified across 17 IMD-associated genes. Recurrent variants were observed in five IMDs, including PAH gene variants c.728G&#x003E;A, c.611A&#x003E;G, and c.721C&#x003E;T for phenylketonuria, PAH c.158G&#x003E;A, c.721C&#x003E;T, and c.728G&#x003E;A for mild hyperphenylalaninemia, SLC22A5 c.1400C&#x003E;G for primary carnitine deficiency, MMACHC c.609G&#x003E;A, c.567dup and c.482G&#x003E;A for methylmalonic acidemia, ACADS c.1055C&#x003E;T, and c.1130C&#x003E;T for short-chain acyl-CoA dehydrogenase deficiency, and ACADSB c.923G&#x003E;A for 2-methylbutyrylglycinuria. All these recurrent variants were reported as pathogenic or likely pathogenic, except PAH c.158G&#x003E;A, which was classified as a variant of uncertain significance.</p>
</sec><sec><title>Conclusion</title>
<p>The majority of IMD patients in Huai&#x0027;an carried pathogenic or potentially pathogenic variants identified through expanded newborn screening. Although MS/MS newborn screening followed by NGS confirmation cannot prevent the occurrence of IMDs, timely diagnosis combined with appropriate treatment and management can effectively prevent morbidity, reduce mortality, and support long-term symptom control. Overall, this study demonstrates that MS/MS-based newborn screening combined with molecular diagnosis was highly effective for the study early detection and management of IMDs in the Huai&#x0027;an population.</p>
</sec>
</abstract>
<kwd-group>
<kwd>tandem mass spectrometry</kwd>
<kwd>inherited metabolic disorders</kwd>
<kwd>next generation sequencing</kwd>
<kwd>NGS</kwd>
<kwd>pathogenic or likely pathogenic variant</kwd>
<kwd>genetic variant</kwd>
</kwd-group><funding-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. Health Research Project of the Jiangsu Provincial Health Commission (F202220), the Natural Science Research Project of the Huai&#x2019;an Municipal Science and Technology Bureau (HAB2024040), and the author&#x0027;s home institution. The aforementioned three funding sources provided all project research funding.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/><equation-count count="0"/><ref-count count="51"/><page-count count="13"/><word-count count="2113133"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Genetics of Common and Rare Diseases</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>Inherited metabolic diseases (IMDs) constitute a large group of disorders in which a single gene defect results in a metabolic block, leading to biochemical abnormalities that may manifest at birth and/or later in life. IMDs are classified as single-gene genetic diseases, most of which follow an autosomal recessive pattern of inheritance. The majority of children with IMDs present with non-specific clinical manifestations at birth and may remain undiagnosed unless neonatal screening is conducted. Without prompt diagnosis and treatment, IMDs can impair the function of multiple organs and systems, cause progressive and irreversible damage to the nervous system, and lead to developmental delay or even death. These outcomes impose a considerable burden on affected families and society. Early diagnosis and timely intervention for neonates identified with IMDs through screening can prevent severe clinical consequences, such as mild to severe irreversible intellectual disability, lifelong disability, physical handicaps, coma, and early death (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>Newborn screening (NBS) for IMDs represents a highly successful public-health initiative aimed at detecting life-threatening or long-term health conditions to reduce morbidity and mortality (<xref ref-type="bibr" rid="B2">2</xref>). Tandem mass spectrometry (MS/MS) serves as a cornerstone technology in NBS programs, enabling the rapid detection of numerous metabolites in dried blood spots (DBSs). The simultaneous quantification of amino acids and acylcarnitines allows identification of approximately 40&#x2013;50 IMDs within a few days after birth (<xref ref-type="bibr" rid="B3">3</xref>). Expanded NBS using MS/MS has been widely adopted worldwide due to its advantages, including rapid and convenient analysis, significantly increased detection rates of IMDs (<xref ref-type="bibr" rid="B4">4</xref>), early diagnosis, prevention of premature death, and cost-effectiveness (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>With the advent of target capture and next-generation sequencing (NGS), it has become possible to sequence large panels of disease-related genes simultaneously, making NGS the preferred approach for identifying the genetic etiology in newborns with abnormal MS/MS screening results for IMDs. Since 2018, Huai&#x0027;an City in China has implemented newborn screening for IMDs using tandem mass spectrometry, achieving a screening rate exceeding 98&#x0025;. This study aimed to determine the incidence, disease spectrum, and gene spectrum of IMDs among newborns in Huai&#x0027;an City, China.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Materials and methods</title>
<sec id="s2a"><label>2.1</label><title>Subjects</title>
<p>In total, 210,395 newborns were born in Huai&#x0027;an between June 2018 and December 2024. Informed and written consent was obtained from the parents of 161,966 newborns, who were subsequently enrolled in the MS/MS-based NBS program. In total, 48,429 parents declined participation in the MS/MS NBS. Ultimately, 57 patients were diagnosed with IMDs through NGS. The screening protocol used in this study was consistent with that used by other newborn screening centers in China (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). The protocol was reviewed and approved by the Ethics Committee of Huai&#x0027;an Maternal and Child Health Care Hospital, affiliated with Yangzhou University (Review No. 2022077).</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>Flowchart of expanded newborn screening for IMDs and diagnosis of patients.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1629840-g001.tif"><alt-text content-type="machine-generated">Flowchart displaying newborn screening results. 161,966 newborns screened via MS/MS between June 2018 and December 2024. 480 had a second DBS positive result. 467 were sent to diagnostic testing. 57 were confirmed with one of the targeted IEMs.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2b"><label>2.2</label><title>Expanded newborn screening</title>
<p>Heel-prick blood samples were collected from the newborns, and 11 amino acids, 30 acylcarnitines, free carnitine, and succinylacetone were analyzed as biomarkers for 27 IMDs using a non-derivatized MS/MS method at the Huai&#x0027;an Newborn Disease Screening Center. Samples were collected at between 48&#x2005;h and 20 days after birth (median: 4 days). Screening assays were performed using a commercial kit (PerkinElmer, USA) and a Waters HPLC-MS/MS system (TQD, Waters, USA). For each patient, a 3.2-mm DBS punch was taken using a Puncher 9 automatic drilling instrument (PerkinElmer, Finland) and placed in a 96-well U-bottom plate. Then, 100&#x2005;&#x00B5;l of extraction solution containing internal standards was added to each well. After incubation at 45&#x2009;&#x00B0;C for 45&#x2005;min, 90&#x2005;&#x00B5;l of the extract was transferred to a V-bottom plate and left at room temperature for 2&#x2005;h. Subsequently, 25&#x2005;&#x00B5;l of the extract was injected into the MS/MS instrument for metabolite analysis. Three levels of internal quality control&#x2014;blank, low, and high were included in each batch to ensure analytical reliability.</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Positive results for IMDs</title>
<p>The screening panel encompassed 27 types of IMDs. Each IMD was defined by two or more diagnostic indicators, including metabolites and metabolite ratios, with specific cut-off values. DBS results that met the positive criteria for IMDs were classified as suspected positive cases.</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Genetic analysis</title>
<sec id="s2d1"><label>2.4.1</label><title>DNA extraction</title>
<p>In total, 5&#x2005;ml of peripheral whole blood was collected from each subject in EDTA-containing anticoagulant tubes. Genomic DNA was extracted from 2&#x2005;ml of peripheral blood using a Qiagen Blood DNA Mini Kit (Qiagen&#x00AE;, Hilden, Germany). DNA concentration was measured, and the extracted samples were stored at &#x2212;20&#x2009;&#x00B0;C. The remaining whole blood samples were stored at &#x2212;80&#x2009;&#x00B0;C for future use.</p>
</sec>
<sec id="s2d2"><label>2.4.2</label><title>High throughput sequencing</title>
<p>High-throughput sequencing was conducted for all patients clinically diagnosed with IMDs using an expanded IMD gene panel (Genuine Diagnostic, Hangzhou, China) that included 346 genes related to IMDs. Target regions were captured using multiple probe hybridization, and the resulting capture products were purified with Agencourt AMPure XP beads (Beckman Coulter). The purified DNA was processed using a TruePrep&#x2122; DNA Library Prep Kit V2 for Illumina (Vazyme) and indexed with a TruePrep&#x2122; Index Kit V2 for Illumina (Vazyme). Library quality was assessed using a Qubit fluorometer and an Agilent 2100 bioanalyzer (High Sensitivity DNA Kit, Agilent Technologies). Sequencing libraries were quantified using an Illumina DNA Standards and Prime Premix Kit (Kapa Biosystems) and then subjected to massively parallel sequencing on the DNBSEQ-T7 platform. Paired-end reads were quality-trimmed using the Trimmomaticprogram and aligned to the human reference genome (UCSC Genome). Single-nucleotide polymorphisms and insertions/deletions were identified using the SAMtoolsprogram.</p>
</sec>
<sec id="s2d3"><label>2.4.3</label><title>Sanger sequencing</title>
<p>All variants identified through high-throughput sequencing were confirmed by Sanger sequencing using specific primers. Polymerase chain reaction (PCR) amplification was performed using aTaKaRa LA PCR&#x2122; Kit ver. 2.1 (TaKaRa). PCR products were purified from agarose gels using aNucleoSpin&#x00AE; Gel and PCR Clean-up Kit (MACHEREY-NAGEL). Purified PCR products were diluted to a final concentration of 10&#x2005;ng/&#x00B5;l and subjected to sequencing PCR using aBigDye&#x00AE; Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems). Each reaction well received 10&#x2005;&#x00B5;l of Hi-Di&#x2122; Formamide (Applied Biosystems). The samples were denatured at 95&#x2009;&#x00B0;C for 5&#x2005;min, cooled, and transferred to 96-well plates. Sequencing was performed using an ABI 3500XL Genetic Analyzer (Applied Biosystems).</p>
</sec>
</sec>
<sec id="s2e"><label>2.5</label><title>Statistical analysis</title>
<p>Statistical analyses were conducted using SPSS software version 26.0 (IBM Corp., Armonk, NY, USA). Descriptive statistics were applied for count data.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<sec id="s3a"><label>3.1</label><title>Screening of IMDs with MS/MS</title>
<p>In total, 161,966 newborns were screened using the expanded NBS program in Huai&#x0027;an (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). Following the initial screening and subsequent repeat testing, 480 newborns with a second positive result were classified as &#x201C;suspected positive&#x201D;. Of these, 467 underwent NGS diagnostic testing, while the remaining 13 did not proceed with NGS. The biochemical indicators in these 13 newborns were only mildly abnormal, and their parents declined further genetic testing. During follow-up, the previously abnormal biochemical indicators in these cases returned to normal. Ultimately, 57 patients were diagnosed with IMDs based on MS/MS testing, urinary organic acid analysis, and molecular genetic testing using NGS.</p>
</sec>
<sec id="s3b"><label>3.2</label><title>Distribution of disease spectrum in children with IMDs</title>
<p>In total, 57 cases of IMDs were confirmed, corresponding to an overall incidence rate of 1 in 2,842 live births. Among these, 28 cases were amino acid metabolism disorders (1 in 5,785), 17 were organic acid metabolism disorders (1 in 9,527), and 12 were fatty acid oxidation disorders (1 in 13,497). The three most common IMDs by incidence were phenylalanine hydroxylase deficiency (1 in 8,098), primary carnitine deficiency (PCD; 1 in 23,138), and methylmalonic acidemia (MMA; 1 in 32,393) (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>, <xref ref-type="fig" rid="F2">Figures&#x00A0;2A&#x2013;D</xref>).</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Disease spectrum of 57 children with IMDs in 161,966 newborns.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left">Disease name</th>
<th valign="top" align="center">Number of confirmed cases</th>
<th valign="top" align="center">Morbidity</th>
<th valign="top" align="center">Constituent ratio (&#x0025;)</th>
<th valign="top" align="center">Constituent ratio (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Amino acid metabolic disease</bold></td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">1:5,785</td>
<td valign="top" align="center">49.12&#x0025;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Phenylalanine hydroxylase deficiency</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">1:8,089</td>
<td valign="top" align="center"/>
<td valign="top" align="center">71.43&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Hypermethioninemia</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1:53,989</td>
<td valign="top" align="center"/>
<td valign="top" align="center">10.72&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Homocysteinemia</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1:161,966</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3.57&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Citrullinemia type 1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1:80,983</td>
<td valign="top" align="center"/>
<td valign="top" align="center">7.14&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Citrin deficiency</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1:161,966</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3.57&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Maple syrupurine disease</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1:161,966</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3.57&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Organic acid metabolic disease</bold></td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">1:9,527</td>
<td valign="top" align="center">29.83&#x0025;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Methylmalonic acidemia</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1:32,393</td>
<td valign="top" align="center"/>
<td valign="top" align="center">29.42&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Isobutyrylglycine uria</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1:53,989</td>
<td valign="top" align="center"/>
<td valign="top" align="center">17.65&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Glutaric acidemia type I</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1:80,983</td>
<td valign="top" align="center"/>
<td valign="top" align="center">11.76&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">2-Methylbutyl coenzyme A dehydrogenase deficiency</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1:53,989</td>
<td valign="top" align="center"/>
<td valign="top" align="center">17.65&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Propionic acidemia</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1:161,966</td>
<td valign="top" align="center"/>
<td valign="top" align="center">5.88&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">3-methylcrotonyl-CoA carboxylase deficiency</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1:161,966</td>
<td valign="top" align="center"/>
<td valign="top" align="center">5.88&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Beta-ketolytic enzyme deficiency</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1:80,983</td>
<td valign="top" align="center"/>
<td valign="top" align="center">11.76&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Fatty acid metabolic disease</bold></td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">1:13,497</td>
<td valign="top" align="center">21.05&#x0025;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">primary carnitine deficiency</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1: 23,138</td>
<td valign="top" align="center"/>
<td valign="top" align="center">58.34&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Short-chain acyl-coenzyme A dehydrogenase deficiency</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1:53,989</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Medium chain acyl-coenzyme A dehydrogenase deficiency</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1:161,966</td>
<td valign="top" align="center"/>
<td valign="top" align="center">8.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Trifunctional protein deficiency</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1:161,966</td>
<td valign="top" align="center"/>
<td valign="top" align="center">8.33&#x0025;</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p><bold>(A)</bold> Distributions of inherited metabolic disease. <bold>(B)</bold> Distributions of amino acid metabolic disease. <bold>(C)</bold> Distributions of organic acid metabolic disease. <bold>(D)</bold> Distributions of fatty acid metabolic disease.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1629840-g002.tif"><alt-text content-type="machine-generated">Four pie charts illustrate the distribution of different metabolic diseases. The top left chart shows inherited metabolic diseases: amino acid (49.12%), organic acid (29.83%), and fatty acid (21.05%). The top right chart details amino acid metabolic diseases: phenylalanine hydroxylase deficiency (71.43%) dominates, followed by hypermethioninemia (10.72%). The bottom left chart displays organic acid metabolic diseases: methyl malonic acidemia (29.42%) and other types. The bottom right chart for fatty acid metabolic diseases highlights primary carnitine deficiency (58.34%) as the largest category. Legends next to each chart indicate specific conditions and percentage distributions.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3c"><label>3.3</label><title>Results of MS/MS in 57 children with IMDs</title>
<p>The results from the primary MS/MS screening and secondary recall testing in 57 children with IMDs revealed characteristic abnormalities in disease-related indices. The corresponding metabolite ratios and indicative values are presented in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>.</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Results of MS/MS in children with IMDs (&#x03BC;mol/L).</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left">Disease name</th>
<th valign="top" align="center">Number</th>
<th valign="top" align="center">MS/MS characteristic anomaly index</th>
<th valign="top" align="center">Reference value</th>
<th valign="top" align="center">Readouts in primary screening [X(min&#x2013;max)]</th>
<th valign="top" align="center">Readout in secondary screening and reviewing [X(min&#x2013;max)]</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Phenylalanine hydroxylase deficiency</td>
<td valign="top" align="center" rowspan="2">20</td>
<td valign="top" align="left">PHE</td>
<td valign="top" align="center">25.00&#x2013;90.00</td>
<td valign="top" align="center">518.78 (109.06&#x2013;1870.4)</td>
<td valign="top" align="center">838.91 (112.57&#x2013;2695.8)</td>
</tr>
<tr>
<td valign="top" align="left">PHE/TYR</td>
<td valign="top" align="center">0.20&#x2013;1.56</td>
<td valign="top" align="left">9.07 (1.42&#x2013;39.74)</td>
<td valign="top" align="center">11.24 (1.17&#x2013;40.99)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Hypermethioninemia</td>
<td valign="top" align="center" rowspan="2">3</td>
<td valign="top" align="left">MET</td>
<td valign="top" align="center">7.50&#x2013;40.00</td>
<td valign="top" align="center">59.38 (32.58&#x2013;81.88)</td>
<td valign="top" align="center">108.92 (37.76&#x2013;239.36)</td>
</tr>
<tr>
<td valign="top" align="left">MET/ PHE</td>
<td valign="top" align="center">0.15&#x2013;0.77</td>
<td valign="top" align="center">1.29 (1.02&#x2013;1.81)</td>
<td valign="top" align="center">3.24 (1.19&#x2013;7.25)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Homocysteinemia</td>
<td valign="top" align="center" rowspan="2">1</td>
<td valign="top" align="left">MET</td>
<td valign="top" align="center">7.50&#x2013;40</td>
<td valign="top" align="center">4.65</td>
<td valign="top" align="center">5.18</td>
</tr>
<tr>
<td valign="top" align="left">MET/PHE</td>
<td valign="top" align="center">0.15&#x2013;0.77</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Citrullinemia type 1</td>
<td valign="top" align="center" rowspan="2">2</td>
<td valign="top" align="left">CIT</td>
<td valign="top" align="center">6.20&#x2013;30.00</td>
<td valign="top" align="center">112.48 (88.81&#x2013;136.15)</td>
<td valign="top" align="center">138.74 (105.95&#x2013;171.53)</td>
</tr>
<tr>
<td valign="top" align="left">CIT/PHE</td>
<td valign="top" align="center">0.10&#x2013;0.72</td>
<td valign="top" align="center">2.18 (1.62&#x2013;2.73)</td>
<td valign="top" align="center">2.75 (2.08&#x2013;3.41)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Citrin deficiency</td>
<td valign="top" align="center" rowspan="2">1</td>
<td valign="top" align="left">CIT</td>
<td valign="top" align="center">6.20&#x2013;30.00</td>
<td valign="top" align="center">216.38</td>
<td valign="top" align="center">60.76</td>
</tr>
<tr>
<td valign="top" align="left">CIT/PHE</td>
<td valign="top" align="center">0.10&#x2013;0.72</td>
<td valign="top" align="center">1.25</td>
<td valign="top" align="center">1.72</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Maple syrupurine disease</td>
<td valign="top" align="center" rowspan="4">1</td>
<td valign="top" align="left">LEU&#x002B;ILE&#x002B;PRO-OH</td>
<td valign="top" align="center">88.00&#x2013;276.00</td>
<td valign="top" align="center">1976.58</td>
<td valign="top" align="center">2935.24</td>
</tr>
<tr>
<td valign="top" align="left">Leu&#x002B;ILE&#x002B;PRO-OH/PHE</td>
<td valign="top" align="center">1.61&#x2013;5.54</td>
<td valign="top" align="center">52.35</td>
<td valign="top" align="center">90.60</td>
</tr>
<tr>
<td valign="top" align="left">VAL</td>
<td valign="top" align="center">65.00&#x2013;233.00</td>
<td valign="top" align="center">566.21</td>
<td valign="top" align="center">328.17</td>
</tr>
<tr>
<td valign="top" align="left">VAL/PHE</td>
<td valign="top" align="center">1.31&#x2013;4.63</td>
<td valign="top" align="center">15.00</td>
<td valign="top" align="center">10.13</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Methylmalonic acidemia</td>
<td valign="top" align="center" rowspan="3">5</td>
<td valign="top" align="left">C3</td>
<td valign="top" align="center">0.40&#x2013;3.90</td>
<td valign="top" align="center">8.98 (4.16&#x2013;15.41)</td>
<td valign="top" align="center">6.46 (2.86&#x2013;13.04)</td>
</tr>
<tr>
<td valign="top" align="left">C3/C2</td>
<td valign="top" align="center">0.04&#x2013;0.24</td>
<td valign="top" align="center">0.62 (0.32&#x2013;1.08)</td>
<td valign="top" align="center">0.82 (0.39&#x2013;1.15)</td>
</tr>
<tr>
<td valign="top" align="left">C3/C0</td>
<td valign="top" align="center">0.02&#x2013;0.18</td>
<td valign="top" align="center">0.40 (0.23&#x2013;0.78)</td>
<td valign="top" align="center">0.35 (0.14&#x2013;0.74)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Isobutyrylglycine uria</td>
<td valign="top" align="center" rowspan="3">3</td>
<td valign="top" align="left">C4</td>
<td valign="top" align="center">0.10&#x2013;0.48</td>
<td valign="top" align="center">1.28 (1.15&#x2013;1.52)</td>
<td valign="top" align="center">1.82 (1.42&#x2013;2.14)</td>
</tr>
<tr>
<td valign="top" align="left">C4/C3</td>
<td valign="top" align="center">0.05&#x2013;0.40</td>
<td valign="top" align="center">1.85 (1.58&#x2013;2.21)</td>
<td valign="top" align="center">2.04 (1.47&#x2013;2.75)</td>
</tr>
<tr>
<td valign="top" align="left">C4/C8</td>
<td valign="top" align="center">1.21&#x2013;10.67</td>
<td valign="top" align="center">26.83 (19.5&#x2013;38.00)</td>
<td valign="top" align="center">44.17 (31.67&#x2013;53.50)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Glutaric acidemia type &#x2160;</td>
<td valign="top" align="center" rowspan="3">2</td>
<td valign="top" align="left">C5DC&#x002B;C6OH</td>
<td valign="top" align="center">0.04&#x2013;0.20</td>
<td valign="top" align="center">2.47 (2.31&#x2013;2.62)</td>
<td valign="top" align="center">1.38 (0.98&#x2013;1.78)</td>
</tr>
<tr>
<td valign="top" align="left">C5DC&#x002B;C6OH/C8</td>
<td valign="top" align="center">0.60&#x2013;4.50</td>
<td valign="top" align="center">55.90 (46.20&#x2013;65.60)</td>
<td valign="top" align="center">69.00 (49.00&#x2013;89.00)</td>
</tr>
<tr>
<td valign="top" align="left">C5DC&#x002B;C6OH/C4DC&#x002B;C5OH</td>
<td valign="top" align="center">0.18&#x2013;1.10</td>
<td valign="top" align="center">9.86 (9.24&#x2013;10.28)</td>
<td valign="top" align="center">6.10 (4.46&#x2013;7.74)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">2-Methylbutyl coenzyme A dehydrogenase deficiency</td>
<td valign="top" align="center" rowspan="2">3</td>
<td valign="top" align="left">C5</td>
<td valign="top" align="center">0.04&#x2013;0.27</td>
<td valign="top" align="center">0.48 (0.44&#x2013;0.51)</td>
<td valign="top" align="center">0.83 (0.72&#x2013;0.94)</td>
</tr>
<tr>
<td valign="top" align="left">C5/C3</td>
<td valign="top" align="center">0.02&#x2013;0.32</td>
<td valign="top" align="center">0.34 (0.16&#x2013;0.44)</td>
<td valign="top" align="center">1.19 (0.78&#x2013;1.45)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Propioninemia<xref ref-type="table-fn" rid="TF2"><sup>a</sup></xref></td>
<td valign="top" align="center" rowspan="3">1</td>
<td valign="top" align="left">C3</td>
<td valign="top" align="center">0.40&#x2013;3.90</td>
<td valign="top" align="center">14.39</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">C3/C2</td>
<td valign="top" align="center">0.04&#x2013;0.24</td>
<td valign="top" align="center">1.31</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">C3/C0</td>
<td valign="top" align="center">0.02&#x2013;0.18</td>
<td valign="top" align="center">1.24</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">3-methylcrotonyl-CoA carboxylase deficiency</td>
<td valign="top" align="center" rowspan="3">1</td>
<td valign="top" align="left">C4DC&#x002B;C5OH</td>
<td valign="top" align="center">0.08&#x2013;0.48</td>
<td valign="top" align="center">9.43</td>
<td valign="top" align="center">10.24</td>
</tr>
<tr>
<td valign="top" align="left">C4DC&#x002B;C5OH/C0</td>
<td valign="top" align="center">0.00&#x2013;0.03</td>
<td valign="top" align="center">2.97</td>
<td valign="top" align="center">4.15</td>
</tr>
<tr>
<td valign="top" align="left">C4DC&#x002B;C5OH/C8</td>
<td valign="top" align="center">0.90&#x2013;13.00</td>
<td valign="top" align="center">471.50</td>
<td valign="top" align="center">1024.00</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Beta-ketolytic enzyme deficiency</td>
<td valign="top" align="center" rowspan="3">2</td>
<td valign="top" align="left">C4DC&#x002B;C5OH</td>
<td valign="top" align="center">0.08&#x2013;0.48</td>
<td valign="top" align="center">1.30 (1.10&#x2013;1.49)</td>
<td valign="top" align="center">1.18 (1.02&#x2013;1.34)</td>
</tr>
<tr>
<td valign="top" align="left">C3DC&#x002B;C4OH</td>
<td valign="top" align="center">0.02&#x2013;0.32</td>
<td valign="top" align="center">0.84 (0.66&#x2013;1.02)</td>
<td valign="top" align="center">0.31 (0.25&#x2013;0.37)</td>
</tr>
<tr>
<td valign="top" align="left">C5:1</td>
<td valign="top" align="center">0.00&#x2013;0.02</td>
<td valign="top" align="center">0.37 (0.36&#x2013;0.38)</td>
<td valign="top" align="center">0.29 (0.24&#x2013;0.34)</td>
</tr>
<tr>
<td valign="top" align="left">Primary carnitine deficiency</td>
<td valign="top" align="center">7</td>
<td valign="top" align="left">C0</td>
<td valign="top" align="center">9.00&#x2013;49.00</td>
<td valign="top" align="center">6.66 (3.58&#x2013;8.91)</td>
<td valign="top" align="center">5.24 (1.66&#x2013;7.41)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Short chain acyl-coenzyme A dehydrogenase deficiency</td>
<td valign="top" align="center" rowspan="3">3</td>
<td valign="top" align="left">C4</td>
<td valign="top" align="center">0.10&#x2013;0.48</td>
<td valign="top" align="center">1.33 (0.80&#x2013;2.13)</td>
<td valign="top" align="center">1.25 (1.10&#x2013;1.52)</td>
</tr>
<tr>
<td valign="top" align="left">C4/C2</td>
<td valign="top" align="center">0.00&#x2013;0.05</td>
<td valign="top" align="center">0.10 (0.06&#x2013;0.15)</td>
<td valign="top" align="center">0.16 (0.13&#x2013;0.20)</td>
</tr>
<tr>
<td valign="top" align="left">C4/C3</td>
<td valign="top" align="center">0.05&#x2013;0.40</td>
<td valign="top" align="center">1.00 (0.75&#x2013;1.14)</td>
<td valign="top" align="center">1.49 (1.39&#x2013;1.59)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Medium chain acyl-coenzyme A dehydrogenase deficiency</td>
<td valign="top" align="center" rowspan="3">1</td>
<td valign="top" align="left">C8</td>
<td valign="top" align="center">0.01&#x2013;0.15</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center">0.33</td>
</tr>
<tr>
<td valign="top" align="left">C8/C2</td>
<td valign="top" align="center">0.00&#x2013;0.01</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">C8/C10</td>
<td valign="top" align="center">0.40&#x2013;1.50</td>
<td valign="top" align="center">3.00</td>
<td valign="top" align="center">4.13</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="7">Trifunctionalprotein deficiency</td>
<td valign="top" align="center" rowspan="7">1</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">0.01&#x2013;0.22</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.46</td>
</tr>
<tr>
<td valign="top" align="left">C14</td>
<td valign="top" align="center">0.03&#x2013;0.36</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.55</td>
</tr>
<tr>
<td valign="top" align="left">C14-OH</td>
<td valign="top" align="center">0&#x2013;0.03</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">C16</td>
<td valign="top" align="center">0.33&#x2013;5.54</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center">1.33</td>
</tr>
<tr>
<td valign="top" align="left">C16-OH</td>
<td valign="top" align="center">0&#x2013;0.04</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left">C18</td>
<td valign="top" align="center">0.13&#x2013;1.47</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.46</td>
</tr>
<tr>
<td valign="top" align="left">C18-OH</td>
<td valign="top" align="center">0&#x2013;0.03</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.54</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><p>All ratios have no units.</p></fn>
<fn id="TF2"><label>a</label>
<p>No data from secondary screening is available as propioninemia is a fatal disease and all subjects died before secondary screening.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3d"><label>3.4</label><title>Variants in IMD patients identified by expanded newborn screening</title>
<p>Genetic analysis identified pathogenic or likely pathogenic variants in all 57 patients diagnosed with IMDs. In total, 75 variants were detected across 17 IMD-associated genes. Several recurrent variants were observed among 5 IMD types, including PAH gene variants c.728G&#x003E;A, c.611A&#x003E;G, and c.721C&#x003E;T in phenylketonuria; PAH gene variants c.158G&#x003E;A, c.721C&#x003E;T, and c.728G&#x003E;A in mild hyperphenylalaninemia; SLC22A5 gene variant c.1400C&#x003E;Gin PCD; MMACHC gene variants c.609G&#x003E;A, c.567dup, and c.482G&#x003E;A in MMA; ACADS gene variants c.1055C&#x003E;T and c.1130C&#x003E;Tin short-chain acyl-CoA dehydrogenase deficiency (SCADD); and ACADSB gene variant c.923G&#x003E;A in 2-methylbutyryl-CoA dehydrogenase deficiency (SBCADD). All of these recurrent variants have previously been reported as pathogenic or likely pathogenic, except for the PAH gene variant c.158G&#x003E;A, which remains of uncertain significance (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>).</p>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>Mutations in 57 patients with IEMs identified by expanded newborn screening.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left">Conditions (OMIM number)</th>
<th valign="top" align="center">Gene (OMIM number)</th>
<th valign="top" align="center">Mutation alleles number</th>
<th valign="top" align="center">Nucleotide variant</th>
<th valign="top" align="center">Amino acid variant</th>
<th valign="top" align="center">Pathogenic</th>
<th valign="top" align="center">RF&#x0025;</th>
<th valign="top" align="center">Cases</th>
<th valign="top" align="center">Accounting for patients (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="12">Phenylketonuria (261,600)</td>
<td valign="top" align="center" rowspan="12">PAH (612,349)</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">11</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">7</td>
<td valign="top" align="center">c.728G&#x003E;A</td>
<td valign="top" align="center">p.Arg243Gln</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">31.82&#x0025;</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">54.55&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">4</td>
<td valign="top" align="center">c.611A&#x003E;G</td>
<td valign="top" align="center">p.Tyr204Cys</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">18.18&#x0025;</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">27.27&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">3</td>
<td valign="top" align="center">c.721C&#x003E;T</td>
<td valign="top" align="center">p.Arg241Cys</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">13.64&#x0025;</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">27.27&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.598dup</td>
<td valign="top" align="center">p.Thr200AsnfsTer6</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">4.55&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">9.09&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1068C&#x003E;A</td>
<td valign="top" align="center">p.Tyr356Ter</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">4.55&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">9.09&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.331C&#x003E;T</td>
<td valign="top" align="center">p.Arg111Ter</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">4.55&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">9.09&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.509&#x002B;1G&#x003E;A</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">4.55&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">9.09&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1045T&#x003E;G</td>
<td valign="top" align="center">p.Ser349Ala</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">4.55&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">9.09&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.699C&#x003E;G</td>
<td valign="top" align="center">p.Phe233Leu</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">4.55&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">9.09&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1301C&#x003E;A</td>
<td valign="top" align="center">p.Ala434Ser</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">4.55&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">9.09&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.194T&#x003E;C</td>
<td valign="top" align="center">p.Ile65Thr</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">4.55&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">9.09&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="12">Mild hyperphenylalaninemia (261,600)</td>
<td valign="top" align="center" rowspan="12">PAH (612,349)</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">9</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">4</td>
<td valign="top" align="center">c.158G&#x003E;A</td>
<td valign="top" align="center">p.Arg53His</td>
<td valign="top" align="center">VUS</td>
<td valign="top" align="center">22.22&#x0025;</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">44.44&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">4</td>
<td valign="top" align="center">c.721C&#x003E;T</td>
<td valign="top" align="center">p.Arg241Cys</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">22.22&#x0025;</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">22.22&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">c.728G&#x003E;A</td>
<td valign="top" align="center">p.Arg243Gln</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">11.11&#x0025;</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">22.22&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.929C&#x003E;T</td>
<td valign="top" align="center">p.Ser310Phe</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">5.56&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.11&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.301G&#x003E;A</td>
<td valign="top" align="center">p.Asp101Asn</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">5.56&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.11&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1256A&#x003E;G</td>
<td valign="top" align="center">p.Gln419Arg</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">5.56&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.11&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.611A&#x003E;G</td>
<td valign="top" align="center">p.Tyr204Cys</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">5.56&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.11&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.460T&#x003E;C</td>
<td valign="top" align="center">p.Tyr154His</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">5.56&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.11&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.827T&#x003E;A</td>
<td valign="top" align="center">p.Met276Lys</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">5.56&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.11&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.331C&#x003E;T</td>
<td valign="top" align="center">p.Arg111Ter</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">5.56&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.11&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1031G&#x003E;A</td>
<td valign="top" align="center">p.Gly344Asp</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">5.56&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.11&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="7">Primary carnitine deficiency (212,140)</td>
<td valign="top" align="center" rowspan="7">SLC22A5 (603,377)</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">7</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">9</td>
<td valign="top" align="center">c.1400C&#x003E;G</td>
<td valign="top" align="center">p.Ser467Cys</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">64.29&#x0025;</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">85.71&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.506G&#x003E;A</td>
<td valign="top" align="center">p.Arg169Gln</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">7.14&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">14.29&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.498-2A&#x003E;T</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">7.14&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">14.29&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.338G&#x003E;A</td>
<td valign="top" align="center">p.Cys113Tyr</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">7.14&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">14.29&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.760C&#x003E;T</td>
<td valign="top" align="center">p.Arg254Ter</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">7.14&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">14.29&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.51C&#x003E;G</td>
<td valign="top" align="center">p.Phe17Leu</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">7.14&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">14.29&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="7">Methylmalonic aciduria and homocystinuria, cblC type (277,400)</td>
<td valign="top" align="center" rowspan="7">MMACHC (609,831)</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">5</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">3</td>
<td valign="top" align="center">c.609G&#x003E;A</td>
<td valign="top" align="center">p.Trp203Ter</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">30.00&#x0025;</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">40.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">c.567dup</td>
<td valign="top" align="center">p.Ile190TyrfsTer13</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">20.00&#x0025;</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">40.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">c.482G&#x003E;A</td>
<td valign="top" align="center">p.Arg161Gln</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">20.00&#x0025;</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">40.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.599G&#x003E;A</td>
<td valign="top" align="center">p.Trp200Ter</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">10.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">20.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.80A&#x003E;G</td>
<td valign="top" align="center">p.Gln27Arg</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">10.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">20.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">exon1 del</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">10.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">20.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="7">Isobutyryl coa dehydrogenase deficiency (611,283)</td>
<td valign="top" align="center" rowspan="7">ACAD8 (604,773)</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1000C&#x003E;T</td>
<td valign="top" align="center">p.Arg334Cys</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">16.67&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">g.134122267_134123466del</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">US</td>
<td valign="top" align="center">16.67&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.286G&#x003E;A</td>
<td valign="top" align="center">p.Gly96Ser</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">16.67&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.526G&#x003E;A</td>
<td valign="top" align="center">p.Ala176Thr</td>
<td valign="top" align="center">US</td>
<td valign="top" align="center">16.67&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.G236G&#x003E;A</td>
<td valign="top" align="center">p.Arg79Gln</td>
<td valign="top" align="center">US</td>
<td valign="top" align="center">16.67&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.568-3C&#x003E;G</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">US</td>
<td valign="top" align="center">16.67&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Short-chain acyl-Coa dehydrogenase deficiency (201,470)</td>
<td valign="top" align="center" rowspan="5">ACADS (606,885)</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">c.1055C&#x003E;T</td>
<td valign="top" align="center">p.Ala352Val</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">33.33&#x0025;</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">66.67&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">c.1130C&#x003E;T</td>
<td valign="top" align="center">p.Pro377Leu</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">33.33&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.881C&#x003E;T</td>
<td valign="top" align="center">p.Ala294Val</td>
<td valign="top" align="center">US</td>
<td valign="top" align="center">16.67&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.164C&#x003E;T</td>
<td valign="top" align="center">p.Pro55Leu</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">16.67&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="6">2-Methylbutyrylglycinuria (610,006)</td>
<td valign="top" align="center" rowspan="6">ACADSB (600,301)</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">c.923G&#x003E;A</td>
<td valign="top" align="center">p.Cys308Tyr</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">33.33&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1172del</td>
<td valign="top" align="center">p.Gly391GlufsTer2</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">16.67&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.848A&#x003E;G</td>
<td valign="top" align="center">p.Tyr283Cys</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">16.67&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.655G&#x003E;A</td>
<td valign="top" align="center">p.Val219Met</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">16.67&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.461G&#x003E;A</td>
<td valign="top" align="center">p.Gly154Glu</td>
<td valign="top" align="center">VUS</td>
<td valign="top" align="center">16.67&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Glutaricaciduria, type I (231,670)</td>
<td valign="top" align="center" rowspan="5">GCDH (608,801)</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1091C&#x003E;T</td>
<td valign="top" align="center">p.Pro364Leu</td>
<td valign="top" align="center">US</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.769C&#x003E;T</td>
<td valign="top" align="center">p.Gly243Glu</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1199T&#x003E;C</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1205G&#x003E;A</td>
<td valign="top" align="center">p.Arg402Gln</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Hypermethioninemia (250,850)</td>
<td valign="top" align="center" rowspan="5">MAT1A (610,550)</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.895C&#x003E;T</td>
<td valign="top" align="center">p.Arg299Cys</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.754A&#x003E;T</td>
<td valign="top" align="center">p.Ile252Phe</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.776C&#x003E;T</td>
<td valign="top" align="center">p.Ala259Val</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.746G&#x003E;A</td>
<td valign="top" align="center">p.Arg249Gln</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Beta-ketolytic enzyme deficiency(203,750)</td>
<td valign="top" align="center" rowspan="5">ACAT1 (607,809)</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.121-3C&#x003E;G</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">US</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.275G&#x003E;A</td>
<td valign="top" align="center">p.Gly92Ser</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1124A&#x003E;G</td>
<td valign="top" align="center">p.Asn375Ser</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.631C&#x003E;A</td>
<td valign="top" align="center">p.Gln211Lys</td>
<td valign="top" align="center">VUS</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Citrullinemia type 1 (215,700)</td>
<td valign="top" align="center" rowspan="5">ASS1 (603,470)</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.349G&#x003E;A</td>
<td valign="top" align="center">p.Gly117Ser</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.805G&#x003E;A</td>
<td valign="top" align="center">p.Val269Met</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.919C&#x003E;T</td>
<td valign="top" align="center">p.Arg307Cys</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1069C&#x003E;G</td>
<td valign="top" align="center">p.Gln357Glu</td>
<td valign="top" align="center">VUS</td>
<td valign="top" align="center">25.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Citrin deficiency (605,814)</td>
<td valign="top" align="center" rowspan="3">SLC25A13 (603,859)</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1048G&#x003E;A</td>
<td valign="top" align="center">p.Asp350Asn</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">50.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">100.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.852_855del</td>
<td valign="top" align="center">p.M285Pfs&#x002A;2</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">50.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">100.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Hyperhomocysteinemia (236,250)</td>
<td valign="top" align="center" rowspan="2">MTHFR (607,093)</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">c.1316T&#x003E;C</td>
<td valign="top" align="center">p.Leu439Pro</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">100.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">100.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Maple syrup urine disease, type Ib (620,698)</td>
<td valign="top" align="center" rowspan="3">BCKDHB (248,611)</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.93_103dup</td>
<td valign="top" align="center">p.Phe35TrpfsTer41</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">50.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">100.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.673_675del</td>
<td valign="top" align="center">p.Leu226del</td>
<td valign="top" align="center">US</td>
<td valign="top" align="center">50.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">100.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Propionicacidemia (606,054)</td>
<td valign="top" align="center" rowspan="3">PCCB (232,050)</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.838dup</td>
<td valign="top" align="center">p.Leu280ProfsTer11</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">50.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">100.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.1228C&#x003E;T</td>
<td valign="top" align="center">p.Arg410Trp</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">50.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">100.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">3-Methylcrotonyl-Coa carboxylase deficiency type 2 (210,210)</td>
<td valign="top" align="center" rowspan="2">MCCC2 (609,014)</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">c.728G&#x003E;A</td>
<td valign="top" align="center">p.Gly243Glu</td>
<td valign="top" align="center">US</td>
<td valign="top" align="center">100.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">100.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Medium-chain acyl-Coa dehydrogenase deficiency (201,450)</td>
<td valign="top" align="center" rowspan="3">ACADM (607,008)</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.449_452del</td>
<td valign="top" align="center">p.Thr150ArgfsTer4</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">50.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">100.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.860G&#x003E;A</td>
<td valign="top" align="center">p.Gly287Asp</td>
<td valign="top" align="center">US</td>
<td valign="top" align="center">50.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">100.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Trifunctional protein deficiency (620,300)</td>
<td valign="top" align="center" rowspan="3">HADHB (143,450)</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.209&#x002B;1G&#x003E;A</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">P</td>
<td valign="top" align="center">50.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">100.00&#x0025;</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">c.520C&#x003E;T</td>
<td valign="top" align="center">p.Arg174Cys</td>
<td valign="top" align="center">LP</td>
<td valign="top" align="center">50.00&#x0025;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">100.00&#x0025;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>There are many types of IMDs, and the total number of identified disorders is estimated to exceed several thousand. Although the incidence of any single IMD is generally low, ranging from several per 10,000 to several per 100,000 live births, the cumulative incidence of all IMDs is considerably higher. Since the early 1990s, MS/MS has been widely implemented in neonatal screening programs for IMDs due to its relatively low cost, high sensitivity (99&#x0025;), and high specificity (&#x003E;99.8&#x0025;) (<xref ref-type="bibr" rid="B7">7</xref>). The majority of IMDs detected through MS/MS are disorders of organic acid, amino acid, or fatty acid metabolism. Reported IMD types and their incidences vary substantially among countries and regions, reflecting differences in screening panels, population genetics, and healthcare systems.</p>
<p>As summarized in <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>, expanded newborn screening programs worldwide demonstrate diverse detection rates. For example, approximately 40 types of IMDs are screened in Italy, with an incidence of about 1 in 6,041 (<xref ref-type="bibr" rid="B4">4</xref>). In Spain, 13 IMDs are screened with an incidence of approximately 1 in 2,577 (<xref ref-type="bibr" rid="B8">8</xref>). Germany, Japan, and Korea screen for 24, 18, and 24 IMDs, respectively, with corresponding incidences of 1/2,200, 1/8,557, and 1/13,205 (<xref ref-type="bibr" rid="B9">9</xref>). In China, 38 IMDs are screened by MS/MS across multiple neonatal screening centers, with an overall incidence of about 1 in 1,410 (<xref ref-type="bibr" rid="B10">10</xref>). In the present study, in total 161,966 newborns were screened in Huai&#x0027;an, and 57 IMD cases were confirmed by NGS, corresponding to an incidence of 1/2,842. The three most common IMDs were phenylalanine hydroxylase deficiency (1/8,098), PCD (1/23,138), and MMA (1/32,393), consistent with previously reported data from other regions of China (<xref ref-type="bibr" rid="B10">10</xref>). All 57 affected children exhibited biochemical abnormalities of varying degrees that were successfully detected by MS/MS, confirming its reliability and critical role in early IMD screening and diagnosis.</p>
<table-wrap id="T4" position="float"><label>Table&#x00A0;4</label>
<caption><p>Comparison of expanded newborn screening detection incidences of inherited metabolic diseases per country.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left">Author</th>
<th valign="top" align="center">Publication year</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">Types of IMDs</th>
<th valign="top" align="center">Sample size (<italic>n</italic>)</th>
<th valign="top" align="center">Incidence rates of IMDs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Messina M, et al. (<xref ref-type="bibr" rid="B4">4</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">Italy<xref ref-type="table-fn" rid="TF3"><sup>a</sup></xref></td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">60,408</td>
<td valign="top" align="center">1/6,041</td>
</tr>
<tr>
<td valign="top" align="left">Cambra Conejero A, et al. (<xref ref-type="bibr" rid="B8">8</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="left">Spain<xref ref-type="table-fn" rid="TF4"><sup>b</sup></xref></td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">592,822</td>
<td valign="top" align="center">1/2,577</td>
</tr>
<tr>
<td valign="top" align="left">Shibata N, et al. (<xref ref-type="bibr" rid="B9">9</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">Germany<xref ref-type="table-fn" rid="TF5"><sup>c</sup></xref></td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">7,510,000</td>
<td valign="top" align="center">1/2,200</td>
</tr>
<tr>
<td valign="top" align="left">Shibata N, et al. (<xref ref-type="bibr" rid="B9">9</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">Japan<xref ref-type="table-fn" rid="TF6"><sup>d</sup></xref></td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">3,360,000</td>
<td valign="top" align="center">1/8,557</td>
</tr>
<tr>
<td valign="top" align="left">Shibata N, et al. (<xref ref-type="bibr" rid="B9">9</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">Korea<xref ref-type="table-fn" rid="TF7"><sup>e</sup></xref></td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">3,440,000</td>
<td valign="top" align="center">1/13,205</td>
</tr>
<tr>
<td valign="top" align="left">Tang C, et al. (<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td valign="top" align="center">2024</td>
<td valign="top" align="left">China<xref ref-type="table-fn" rid="TF8"><sup>f</sup></xref></td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">29,601</td>
<td valign="top" align="center">1/1,410</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF3"><label>a</label>
<p>Data from Italy are from 2011 to 2017.</p></fn>
<fn id="TF4"><label>b</label>
<p>Data from Spain are from 2011 to 2019.</p></fn>
<fn id="TF5"><label>c</label>
<p>Data from Germany are from 2002 to 2015.</p></fn>
<fn id="TF6"><label>d</label>
<p>Data from Japan are from 1997 to 2015.</p></fn>
<fn id="TF7"><label>e</label>
<p>Data from Korea are from 2000 to 2015.</p></fn>
<fn id="TF8"><label>f</label>
<p>Data from China are from February 2021 to December 2021.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Hyperphenylalaninemia is the most prevalent amino acid metabolism disorder, resulting from a deficiency of either phenylalanine hydroxylase (PAH) or its cofactor, tetrahydrobiopterin (BH4). The deficiency leads to elevated phenylalanine concentrations in the blood, which can cause neurotoxicity and irreversible brain damage if left untreated. To date, more than 800 PAH gene variants have been identified in patients with PAH deficiency (<xref ref-type="bibr" rid="B11">11</xref>), with several recurrent variants reported in distinct populations. The most frequent variants include c.168&#x002B;5G&#x003E;C in Western Iranians (<xref ref-type="bibr" rid="B12">12</xref>), IVS10-11G&#x003E;A in Iranians (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>) and Spaniards (<xref ref-type="bibr" rid="B15">15</xref>), c.1238G&#x003E;C in Japanese (<xref ref-type="bibr" rid="B16">16</xref>), c.1162G&#x003E;A in Brazilians (<xref ref-type="bibr" rid="B17">17</xref>), c.728G&#x003E;A in Chinese (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>), c.1068C&#x003E;A and c.728G&#x003E;A in South Koreans (<xref ref-type="bibr" rid="B20">20</xref>), c.1222C&#x003E;T in Australians (<xref ref-type="bibr" rid="B21">21</xref>), and c.782G&#x003E;A in Syrians (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>In the Huai&#x0027;an cohort, all 20 patients diagnosed with PAH deficiency harbored variants in the PAH gene. The detected variant included c.728G&#x003E;A, c.611A&#x003E;G, c.721C&#x003E;T, c.598dup, c.1068C&#x003E;A, c.331C&#x003E;T, c.509&#x002B;1G&#x003E;A, c.1045T&#x003E;G, c.699C&#x003E;G, c.1301C&#x003E;A, c.194T&#x003E;C, c.158G&#x003E;A, c.929C&#x003E;T, c.301G&#x003E;A, c.1256A&#x003E;G, c.460T&#x003E;C, c.827T&#x003E;A, and c.1031G&#x003E;A. Consistent with findings from other Chinese populations, the most frequent variant in this study was c.728G&#x003E;A, accounting for 22.5&#x0025; of alleles, followed by c.721C&#x003E;T (17.5&#x0025;) and c.611A&#x003E;G (12.5&#x0025;).</p>
<p>PCD was the second most common IMD detected in this study. PCD is caused by defects in the carnitine transporter protein encoded by the SLC22A5 gene, leading to impaired fatty acid &#x03B2;-oxidation within cells. The reported incidence of PCD in China varies regionally, ranging from 1/26,777 to 1/8,938 (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>), while the incidence in Huai&#x0027;an was 1/23,138. More than 110 SLC22A5variants have been identified to date, with distinct recurrent variants observed across different ethnic groups (<xref ref-type="bibr" rid="B25">25</xref>). For example, c.844T&#x003E;C is common among Caucasian patients (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>), while c.1400C&#x003E;Gis the predominant hotspot variant in Southeast Asian populations (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). In Chinese populations, recurrent variants are relatively consistent across regions. The c.1400C&#x003E;G variant is the most frequent, with a relative frequency of 50&#x0025;, accounting for 80&#x0025; of PCD cases in Suzhou (<xref ref-type="bibr" rid="B22">22</xref>). Chen et al. reported c.760C&#x003E;T (32.9&#x0025;) and c.1400C&#x003E;G (21.1&#x0025;) as the most common variants (<xref ref-type="bibr" rid="B32">32</xref>). Similarly, in the Huai&#x0027;an cohort, c.1400C&#x003E;G was the predominant SLC22A5 variant, with a relative frequency of 64.29&#x0025;, aligning with findings from most other studies.</p>
<p>MMA was identified as the third most prevalent IMD and the most common organic acid metabolic disorder among the Huai&#x0027;an population. MMA can be classified according to the specific defect into two categories: cobalamin (cbl) metabolic defects and methylmalonyl-CoA mutase deficiency (MUT type). It is a genetically and phenotypically heterogeneous disorder characterized by diverse clinical manifestations and significant morbidity. Currently, isolated MMA is attributed to variants in five genes&#x2014;MMADHC, MUT, MCEE, MMAA, and MMAB. Among Chinese populations, MUT gene variants are the most frequently observed pathogenic type, with more than 400 related variant sites cataloged in ClinVar. The cblC type of MMA is the most common form associated with concurrent homocysteinemia. Reported incidences of MMA are approximately 1/50,000 in Japan (<xref ref-type="bibr" rid="B33">33</xref>) and 1/250,000 in Germany (<xref ref-type="bibr" rid="B34">34</xref>). However, in mainland China, the incidence ranges from 1/3,920 to 1/26,000 (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B35">35</xref>). The incidence of MMA in Huai&#x0027;an, approximately 1/32,393, is evidently higher than that in Japan and Germany but lower than in Shandong, Henan, Beijing, Shanghai, and Suzhou.</p>
<p>In this study, five patients were diagnosed with MMA, and all were classified as the cblC type. These patients carried six MMACHC gene variants: c.609G&#x003E;A, c.567dup, c.482G&#x003E;A, c.599G&#x003E;A, c.80A&#x003E;G, and an exon 1 deletion. These variants accounted for 28.6&#x0025; of the total detected genetic sites, a distribution consistent with findings from most Chinese studies (<xref ref-type="bibr" rid="B36">36</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>). All children diagnosed with MMA in the present cohort exclusively exhibited the combined type, and no variants in other related genes were identified. Given the limited sample size, the precision of variant frequency representation in the affected population may be constrained. Nevertheless, the identification of recurrent MMACHC gene variants&#x2014;c.609G&#x003E;A, c.567dup, and c.482G&#x003E;A&#x2014;highlights their importance as potential hotspots for subsequent MMA gene screening, prenatal diagnosis, and genetic counseling.</p>
<p>SCADD is an autosomal recessive disorder of fatty acid oxidation caused by defects in the ACADS gene, leading to the accumulation of butyrylcarnitine (C4) and ethylmalonic acid in urine. The ACADS gene is located on chromosome 12q24.31, spans approximately 13&#x2005;kb, contains 10 exons, and encodes a 412-amino-acid enzyme. In this study, three cases of SCADD were identified with ACADS gene variants at four sites: c.1055C&#x003E;T, c.881C&#x003E;T, c.1130C&#x003E;T, and c.164C&#x003E;T. Among these, c.1055C&#x003E;T and c.1130C&#x003E;T exhibited the highest variant frequencies, each accounting for 33.33&#x0025; of the detected sites. According to the American College of Medical Genetics and Genomics (ACMG) variant classification standards, c.881C&#x003E;T (p.Ala294Val) was deemed clinically insignificant. Variants c.511C&#x003E;T and c.625G&#x003E;A are prevalent in Euramerican and Jewish populations (<xref ref-type="bibr" rid="B39">39</xref>), whereas c.1031A&#x003E;G, c.164C&#x003E;T, and c.323G&#x003E;A have been reported in Japan (<xref ref-type="bibr" rid="B40">40</xref>). Long-term follow-up studies of SCADD cases detected through newborn screening have shown most patients remain asymptomatic, underlying a rationale that SCADD should not be routinely screened in newborns (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>). SCADD has been labeled a &#x201C;biochemical phenotype&#x201D; rather than a clinically significant monogenic disorder (<xref ref-type="bibr" rid="B43">43</xref>). This remains a controversial issue regarding the clinical significance of SCADD and whether it should be included in newborn screening panels.</p>
<p>Isobutyryl-CoA dehydrogenase deficiency (IBDD) is a rare autosomal recessive metabolic disorder that results from defects in the ACAD8gene, which encodes an enzyme responsible for the catabolism of the essential amino acid valine. Disruption of this metabolic pathway leads to the accumulation of isobutyrylglycine, which is excreted in urine and detectable through organic acid analysis. Accordingly, the condition is often referred to as isobutyrylglycinuria. The ACAD8gene is located on chromosome 11q25, comprises 11 exons, and encodes a member of the acyl-CoA dehydrogenase family. In this study, three cases of isobutyrylglycinuria were diagnosed, all associated with ACAD8 gene variants. Five variants&#x2014; c.1000C&#x003E;T, c.286G&#x003E;A, c.526G&#x003E;A, c.236G&#x003E;A, and c.568-3C&#x003E;G&#x2014;as well as one structural variant (g.UNK1134123466 deletion) were identified. Based on ACMG classification criteria, c.526G&#x003E;A, c.236G&#x003E;A, and c.568-3C&#x003E;G were categorized as variants of uncertain clinical significance. Reports from both Chinese and international studies imply that most IBDD patients are asymptomatic, making it difficult to establish clear genotype-phenotype correlations.</p>
<p>The etiology of hyperhomocysteinemia (HHCY) is multifactorial and can be categorized into congenital and acquired causes. Congenital factors primarily involve genetic variants in key enzymes such as thioether-&#x03B2;-synthase, methionine synthase reductase, methylenetetrahydrofolate reductase (MTHFR), and methionine synthase. These genetic defects lead to deficiencies in cofactors required for homocysteine (HCY) metabolism, resulting in HCY accumulation and subsequent development of HHCY. In the present study, one case of homocysteinemia was identified, in which a homozygous variant of the MTHFR gene (c.1316T&#x003E;C) was detected. This case was initially identified through MS/MS screening, which revealed methionine levels below the diagnostic threshold, and was subsequently confirmed through molecular diagnosis using NGS. These findings indicate that HHCY can be detected by MS/MS-based newborn screening, acknowledging that screening for low methionine without screening for elevated HCY wouldn&#x0027;t effectively screen for all genetic etiologies of HHCY.</p>
<p>Citrullinemia type I (CTLN1), also referred to as argininosuccinate synthase (ASS) deficiency, is caused by pathogenic variants in the ASS1gene, a key enzyme in the urea cycle. The disorder is characterized by hyperammonemia and elevated citrulline levels and follows an autosomal recessive inheritance pattern (<xref ref-type="bibr" rid="B44">44</xref>). The ASS1 gene is located on chromosome 9q34.11, spans approximately 56&#x2005;kb, comprises 16 exons, and encodes a 412-amino-acid protein. Reported common variants include c.1085G&#x003E;T and c.970G&#x003E;A in Turkish patients, and c.1088G&#x003E;A in German patients (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>). In East Asian populations, c.421-2A&#x003E;G is the most frequently observed variant, whereas c.970G&#x003E;A predominates in Korean patients (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>). Additionally, c.794G&#x003E;A is the most common variant reported among Japanese CTLN1 patients (<xref ref-type="bibr" rid="B49">49</xref>). In the present study, two cases of CTLN1 were diagnosed, and four heterozygous ASS1 gene variants were detected: c.349G&#x003E;A, c.805G&#x003E;A, c.919C&#x003E;T, and c.1069C&#x003E;G.</p>
<p>Maple syrup urine disease (MSUD) is an autosomal recessive disorder affecting the catabolism of branched-chain amino acids. The condition derives its name from the characteristic sweet, &#x201C;maple syrup&#x2013;like&#x201D; odor of the urine. MSUD results from a functional defect in the branched-chain <italic>&#x03B1;</italic>-keto acid dehydrogenase complex. The primary pathogenic genes implicated in this disorder include BCKDHA (34&#x0025;), BCKDHB (29&#x0025;), DLD, and DBT. In this study, we identified an MSUD case in which two heterozygous variants of the BCKDHB gene were detected: c.93_103dup and c.673_675del. According to the ACMG variant classification guidelines, the c.673_675del (p.Leu226del) variant is classified as having uncertain clinical significance, warranting further functional validation. It shows how NGS as a standalone first tier screen would be insufficient as VUS clinical correlation is only feasible because of the MS/MS NBS result.</p>
<p>3-Methylcrotonyl-CoA carboxylase deficiency (3-MCCD) is an autosomal recessive inborn error of leucine metabolism that exhibits considerable phenotypic variability. Most affected individuals remain asymptomatic unless secondary systemic carnitine deficiency develops. However, severe cases may present with leukodystrophy, developmental delay, hypoglycemia, metabolic acidosis, failure to thrive, lactic acidosis, and hyperammonemia (<xref ref-type="bibr" rid="B50">50</xref>). Deficiency of 3-MCCC, caused by pathogenic variants in either MCCC1 or MCCC2, leads to elevated levels of 3-hydroxyisovalerylcarnitine in the blood. The enzyme comprises <italic>&#x03B1;</italic> and &#x03B2; subunits encoded by the MCCC1 and MCCC2 genes, respectively. Previous studies have shown that MCCC2variants are more frequently reported worldwide, whereas MCCC1variants are predominant in Chinese populations (<xref ref-type="bibr" rid="B51">51</xref>). In the present study, one patient with 3-MCCD was diagnosed, carrying a homozygous MCCC2 gene variant (c.728G&#x003E;A).</p>
</sec>
<sec id="s5" sec-type="conclusions"><label>5</label><title>Conclusions</title>
<p>This study reports, for the first time, the results of newborn screening for IMDs and their epidemiological characteristics in Huai&#x0027;an over the past 7 years. Among 161,966 newborns screened using MS/MS, 57 children were diagnosed with 17 different types of IMDs, yielding an overall incidence rate of 1 in 2,842. The three most prevalent disorders were phenylalanine hydroxylase deficiency, PCD, and MMA, findings that were consistent with the reported incidence patterns of these diseases in other regions of China.</p>
<p>Of the total 77 genetic variants identified, 49.35&#x0025; (38/77) were classified as pathogenic, 32.47&#x0025; (25/77) as likely pathogenic, and 18.18&#x0025; (14/77) as variants of uncertain clinical significance, the latter requiring further functional validation. Several recurrent variants were identified across 10 IMDs, including PAH gene variants (c.728G&#x003E;A, c.611A&#x003E;G, and c.721C&#x003E;T) for phenylketonuria; PAH gene variants (c.158G&#x003E;A, c.721C&#x003E;T, and c.728G&#x003E;A) for mild hyperphenylalaninemia; SLC22A5gene variant (c.1400C&#x003E;G) for PCD; MMACHC gene variants (c.609G&#x003E;A, c.567dup, and c.482G&#x003E;A) for MMA; ACADS gene variants (c.1055C&#x003E;T and c.1130C&#x003E;T) for SCADD; and ACADSB gene variant (c.923G&#x003E;A) for SBCADD. All these recurrent variants have been previously reported as pathogenic or likely pathogenic, except for the PAH gene variant c.158G&#x003E;A.</p>
<p>In conclusion, the majority of the IMD patients identified through expanded newborn screening in Huai&#x0027;an carried pathogenic or potentially pathogenic variants. These findings underscore the clinical value of combining MS/MS-based screening with NGS for the accurate diagnosis and genetic confirmation of IMDs in newborns.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of Huai&#x0027;an Maternal and Child Health Hospital, Jiangsu Province, China. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin. Written informed consent was obtained from the individual(s), and minor(s)&#x0027; legal guardian/next of kin, for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>M-mO: Investigation, Data curation, Resources, Writing &#x2013; review &#x0026; editing. C-tS: Resources, Writing &#x2013; original draft, Supervision, Investigation. LZ: Resources, Writing &#x2013; review &#x0026; editing. L-lK: Resources, Writing &#x2013; original draft. L-xZ: Writing &#x2013; review &#x0026; editing, Data curation, Resources. JZ: Resources, Data curation, Writing &#x2013; original draft. P-yZ: Software, Resources, Writing &#x2013; original draft, Investigation. Y-mW: Methodology, Project administration, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Funding acquisition. X-fL: Software, Writing &#x2013; review &#x0026; editing, Project administration, Methodology, Formal analysis. XY: Software, Methodology, Writing &#x2013; original draft, Data curation, Resources.</p>
</sec>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The 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="s11" sec-type="ai-statement"><title>Generative AI statement</title>
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<sec id="s12" 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>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1659800/overview">Amy Brower</ext-link>, Creighton University, United States</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2894330/overview">Joanne Adelberg</ext-link>, Howard University, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3172720/overview">Craig Baker</ext-link>, University of Nebraska Medical Center, United States</p></fn>
</fn-group>
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