Skip to main content

ORIGINAL RESEARCH article

Front. Genet., 24 June 2021
Sec. Genetics of Common and Rare Diseases

Newborn Screening and Genetic Analysis Identify Six Novel Genetic Variants for Primary Carnitine Deficiency in Ningbo Area, China

\r\nXiangchun Yang&#x;Xiangchun Yang1†Qiong Li&#x;Qiong Li2†Fei WangFei Wang1Lulu YanLulu Yan1Danyan ZhuangDanyan Zhuang1Haiyan QiuHaiyan Qiu3Haibo Li*Haibo Li1*Liang Chen*Liang Chen4*
  • 1The Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children’s Hospital, Ningbo, China
  • 2Neonatal Screening Center, Ningbo Women and Children’s Hospital, Ningbo, China
  • 3Department of Pediatrics, Ningbo Women and Children’s Hospital, Ningbo, China
  • 4Department of Gynaecology, Ningbo Women and Children’s Hospital, Ningbo, China

Primary carnitine deficiency (PCD) is an autosomal recessive disorder that could result in sudden death. It is caused by a defect in the carnitine transporter encoded by SLC22A5 (Solute Carrier Family 22 Member 5, MIM:603377). Currently, a number of variants in SLC22A5 have been identified, however, the PCD prevalence and its variants in Ningbo area are unclear. In this study, we screened 265,524 newborns by using tandem mass spectrometry. Variants in SLC22A5 were further detected by next-generation sequencing in individuals with abnormal free carnitine levels (C0). We identified 53 newborns with abnormal C0 levels and 26 with variants in SLC22A5. Among them, 16 with compound heterozygous or homozygous variants in SLC22A5 were diagnosed with PCD, suggesting the PCD birth prevalence in Ningbo city was 1/16,595. Moreover, the C0 level was significantly (P = 0.013) higher in PCD patients than in those with one variant. Besides, the c.1400C > G (p. S467C) and c.51C > G (p. F17L) variants were the most frequent and six novel variants are all predicted to be damaging. This study reports the largest PCD patients in Ningbo area by newborn screening and expands the variant spectrum of SLC22A5. Our findings demonstrate the clinical value of combining NBS program results with DNA analysis for the diagnosis of PCD.

Introduction

Primary carnitine deficiency (PCD, MIM:212140) is an autosomal recessive disorder of carnitine transportation. Its estimated incidence ranges between 1/40,000 and 1/120,000 across countries with different ethnicities (Magoulas and El-Hattab, 2012; Lahrouchi et al., 2017). SLC22A5 (Solute Carrier Family 22 Member 5, MIM:603377) as the causal gene for PCD spans around 30 kb on chromosome 5q31.1 and encodes organic cation transporter type 2 (OCTIN2) (Nezu et al., 1999; Li et al., 2010; Kilic et al., 2012). OCTN2 operates as a Na+ -independent organic cation transporter as well as a high affinity Na+ -dependent carnitine transporter (Longo et al., 2016). Defective carnitine transport could result in urinary carnitine wasting, low serum carnitine levels, and decreased intracellular carnitine accumulation (Longo et al., 2006; Longo et al., 2016). When carnitine supplements are not promptly started, patients with PCD can develop an acute metabolic decompensation in their early life, or their later life with skeletal and cardiac myopathy/sudden death from arrhythmia (Wang et al., 2000; Rose et al., 2012; Longo et al., 2016). Hence, early diagnosis and treatment of PCD can prevent metabolic decompensation and death, and the long-term prognosis is favorable.

With the advent of expanded newborn screening (Dhondt, 2010; Lindner et al., 2011; Tiwana et al., 2012; Therrell et al., 2015; Karaceper et al., 2016; Wang et al., 2019), infants with PCD can be identified based on their free carnitine (C0) level. When the level is low, the plasma/urine carnitine, plasma acylcarnitine profile, and urine organic acids in mothers of these infants should be evaluated since the primary or secondary carnitine deficiency could be caused by a maternal disorder (Longo et al., 2016). The diagnosis can be confirmed by verifying reduced carnitine transport activity (<20% of normal controls) in skin fibroblasts from the patient or by mutational analysis of the SLC22A5 gene.

Here, we performed a large-scale screen on PCD by using MS/MS and DNA sequence analysis in Ningbo area, China. We identified 53 out of 265,524 newborns have low C0 levels. Further genetic analysis identified 16 of them with biallelic heterozygous/homozygous mutations and 10 newborns with one mutation in SLC22A5. These 16 newborns were confirmed to have PCD and mothers of the 10 infants with one variant in SLC22A5 were suspected to have PCD. Infants with maternal PCD were found to have higher C0 levels than those in PCD patients. Besides, six novel variants in SLC22A5 were identified in this area and all of them were predicted to be damaging.

Materials and Methods

Study Population and Patients

A total of 265,524 newborns of Chinese Han ethnicity were screened by MS/MS from July 2014 to March 2019 at the central laboratory of birth defects prevention and control in Ningbo Women and Children’s Hospital. An infant is diagnosed with PCD if the free carnitine level in dried blood spot (DBS) is below the cutoff established in our laboratory (described below), and with compound heterozygous or homozygous variants in SLC22A5. The levels of acetylcarnitine and propionylcarnitine were also measured at the same time.

MS/MS Analysis

For each DBS card, one 3.20 mm diameter disc (equal to 3.20 μL of blood) was punched into U-96-well microplates and 100 μL of an extract solution was added to each well. After incubating for 45 min, 75 μL of the supernatant was transferred into a fresh V-96-well microplate and let to stand for 2 h at room temperature. This final solution was subsequently used for MS/MS analysis (NeoBaseTM Non-derivatized MSMS Kit, PerkinElmer, United States). MS/MS analysis was performed using ACQUITY UPLC H-Class XEVO TQD (Waters TQD, United States). Approximately 15 μL of a working solution was directly injected for the analysis. All chromatograms were analyzed with Waters MassLynx v4.1 software (Waters TQD, United States).

Diagnostic Criteria

The concentration of C0 was measured by MS/MS in the DBS, cutoff values were set as 9.50–57.00 μM, which were adjusted values (considering the probability of missed cases and false negatives on newborn screening) based on 0.5 and 99.5% percentiles among all the samples. Newborns were diagnosed to have PCD based on the following criteria:

(1) Newborns with C0 values < 9.50 μM were rescreened (second screening) 2–3 days after the first screening.

(2) Newborns with persistent low C0 levels (C0 < 9.5 μM) were readmitted for further diagnosis. Pathogenic variants in SLC22A5 gene were detected for these infants.

(3) Newborns with compound heterozygous or homozygous variants in SLC22A5 gene were confirmed to have PCD.

For newborns with at least one variant in SLC22A5, the C0 level and variants in their mothers were detected. Mothers were diagnosed to be PCD when they have compound heterozygous or homozygous variants in SLC22A5 and C0 value lower than 9.5 μM.

Genetic Testing and Bioinformatics Analysis

Genomic DNA was extracted from dried blood spot or peripheral blood obtained from patients and their parents using the OMEGA Genomic DNA Extraction Kit (OMEGA Biotech, United States). Subsequently, targeted sequencing was performed by the basic edition panel of inherited metabolic diseases (Genuine Diagnostic Laboratory, Hangzhou, China) to detect 94 genes, including SLC22A5, PAH, PTS, MUT, and other genes. The sequences of target regions were enriched by multiple probe hybridizations using Agilent SureSelect Human Exon Sequence Capture Kit. The capture products were then purified using Agencourt AMPure XP beads (Beckman Coulter). After purification and quality test, the sequencing libraries were quantified by Illumina DNA standard and Primer Premix Kit (kapa), and then massively parallel sequenced by Illumina MiSeq platform. All potentially pathogenic variants were verified by Sanger sequencing using the specific primers. PCR (polymerase chain reaction) conditions were according to TaKaRa LA PCRTM Kit Ver.2.1 (TaKaRa). Trans status of all compound heterozygous variants has been tested.

All identified variants were checked using databases including the Human Gene Mutation (HGMD) Database1, ClinVar2, ExAC consortium3, gnomAD4, 1,000 Genome Project database5, laboratory internal database (∼20,000 mutations) and literature. The novel missense variants were further assessed for possible pathogenicity based on tools including SIFT, PolyPhen-2, and MutationTaster integrated in VarSome6. The variants were classified according to the standards and guidelines issued by the American College of Medical Genetics and Genomics (ACMG) (Richards et al., 2015).

Treatment and Follow-Up

All patients were defined as asymptomatic after diagnosed with 100 mg/kg/day of L-carnitine orally, three times. The C0 levels of patients were regularly reviewed during treatment (C0 at about 20 μM, a variety of other acylcarnitines in the normal range). Carnitine concentrations including acylcarnitine (C2) and propionylcarnitine (C3), echocardiogram, electrocardiogram, liver function, and creatine kinase were also examined regularly, and patients were followed up at 0.2–4 years old.

Statistical Analysis

The statistical analysis was performed in R3.6. The difference in metabolite measurements (C0, C2, and C3) between newborns with PCD and newborns with maternal PCD was calculated based on two-tailed t-tests. P < 0.05 was considered to be statistically significant.

Results

Prevalence of PCD in Ningbo Area

A total of 265,524 newborns were screened in Ningbo area during this study. The concentrations of free carnitine (C0) level in DBSs were detected with MS/MS. The levels of free carnitine, acetylcarnitine (C2), and propionylcarnitine (C3) cumulative percentiles in the DBS were analyzed by MS/MS (Table 1). Among them, 241,289 health screening samples collected over 5 years were used as the reference data in our laboratory. We used 0.5 and 99.5% percentiles as the cutoff values for each carnitine concentration. Considering the probability of missed cases and false negatives on newborn screening, the corresponding cutoff values of C0, C2, and C3 in the clinic were then adjusted to be 9.50–57.00, 4.00–48.30, and 0.42–4.50 μM in our laboratory. There were 1,685 newborns identified as positive due to low free carnitine (1 in 158) in the first screening. Of these, 53 subjects were suspected to be PCD with abnormal C0 value in the second screening, giving a positive predictive value of 3.15%. Genetic analysis identified 26 out of 53 newborns with variants in SLC22A5, and 16 of them were confirmed to be PCD since they have compound heterozygous or homozygous variants in SLC22A5, suggesting the birth prevalence of PCD in Ningbo city was 1/16,595. Ten infants were with one variant in SLC22A5 and mothers of them were suspected to be maternal PCD considering their low C0 level (C0 < 5μM). Among them, three accepted genetic screening and were all confirmed to have PCD after identification of compound homozygotes in SLC22A5, other mothers who disagreed genetic screening were classified as suspected maternal PCD (Figure 1).

TABLE 1
www.frontiersin.org

Table 1. Cutoff values and 0.5%/99.5% percentiles used for free carnitine (C0), acetylcarnitine (C2), and propionylcarnitine (C3).

FIGURE 1
www.frontiersin.org

Figure 1. Study design and pipeline of PCD identification by NBS and genetic analysis in Ningbo city. C0: free carnitine; PCD: Primary carnitine deficiency.

Clinical and Biochemical Findings

C0, C2, and C3 levels were markedly decreased in the 26 newborns with PCD. Among these newborns, the mean concentrations of C0 in infants without maternal PCD and infants with maternal PCD (including confirmed and suspected maternal PCD) were 6.96 ± 1.83 and 5.05 ± 1.67 μM, C2 levels were 2.55 ± 0.89 and 2.15 ± 0.51 μM, and C3 levels were 0.24 ± 0.10 and 0.32 ± 0.14 μM, respectively (Table 2 and Figure 2). Although plasma C0 was reduced in infants with PCD compared to normal newborns, the concentrations of C0 was significantly (P = 0.013) higher in patients without maternal PCD than those with maternal PCD. Similar trends were observed for C2 but not in C3. The level of C3 was higher in patients with maternal PCD (Table 2). The concentration of C0 increased to 10–20 μM in newborn PCD after treatment with L-carnitine. We followed up with these patients at 0.2–4 years old. All of the patients were full-term children with normal birth weight, except for Case 2 and Case 26 who were preterm with gestational at age 36/4 and 36/6, respectively.

TABLE 2
www.frontiersin.org

Table 2. Levels of free carnitine (C0), acetylcarnitine (C2), and propionylcarnitine (C3) in patients with primary carnitine deficiency (PCD) and maternal PCD.

FIGURE 2
www.frontiersin.org

Figure 2. The comparisons of metabolite measurements between newborns with primary carnitine deficiency (PCD), newborns with no mutations in SLC22A5 and newborns with maternal PCD.

Genetic Analysis and Novel Variants

We sequenced 53 newborns with low C0 levels for a definite diagnosis and identified 26 of them with variants in SLC22A5 (RefSeq NM_003060.4) (Table 3). There are 16 infants with compound heterozygous or homozygous variants and ten infants with one variant. The c.1400C > G (p.S467C) and c.51C > G (p.F17L) variants were most frequent in SLC22A5 in Ningbo area, with a frequency of 48.84% (21/43) and 16.28% (7/43), respectively. Three of the 16 cases were detected to have homozygous variants (c.1400C > G variant), and other cases were compound heterozygous. The mutated allele in SLC22A5 for the ten infants with one variant was suspected to be a maternal allele since their mothers were suspected to have PCD (C0 levels of their mothers were lower than 5 μM). Mothers of three newborns (case 24–26) agreed to genetic screening and all of them were confirmed to be maternal PCD since they have homozygous mutations (c.1400C > G variant) in SLC22A5. We found six novel variants (c.1161_1162insA, c.1173G > A, c.1343T > G, c.137_159del, c.1420A > C, and c.1490G > A) which have not been reported in the HGMD Database or the OCTN2 Database at ARUP Laboratories7. We assessed the possible pathogenicity of these novel variants based on four bioinformatic tools (SIFT, PolyPhen-2, PROVEAN, and MutationTaster) integrated in VarSome (Kopanos et al., 2019). c.1420A > C was classified to be variant of uncertain significance by ACMG (Supplementary Table 1). Other five mutations were classified as pathogenic or likely pathogenic. Furthermore, all these novel variants were predicted to have “damaging” effects by at least one method (Table 4).

TABLE 3
www.frontiersin.org

Table 3. Clinical and genetic characteristics of the SLC22A5 variants.

TABLE 4
www.frontiersin.org

Table 4. Analysis and in silico prediction of the novel SLC22A5 gene variants.

Discussion

In this study, we screened 265,524 newborns to detect PCD in Ningbo area, China. In total, 53 out of 265,524 newborns were suspected to have PCD considering their low level of free carnitine (C0) measured by MS/MS. Genetic analysis confirmed 16 of them to be PCD patients (birth prevalence = 1/16,595) since they have compound heterozygous or homozygous variants in SLC22A5. In addition to the common variants, six novel variants in SLC22A5 were found in the PCD patients in this area and all of them were predicted to be damaging.

The incidence of PCD ranges from 1:40,000 to 1:120,000 in different countries or regions: with 1:20,000–1:70,000 in the United States (Gallant et al., 2012), 1:40,000 in Japan (Shibata et al., 2018) and 1:120,000 in Australia (Wiley et al., 1999; Webster et al., 2003), and the incidence of heterozygotes for PCD in the population is 0.5–1%. The highest incidence of PCD is in the Faroe Islands, where the prevalence is 1:300. In our study, 16 patients (16/53, 30.19%) with PCD were diagnosed by biochemical and molecular analysis, and the prevalence of PCD was approximately 1:16,595 in Ningbo area. The incidence was a bit higher than that in the study from Zhejiang Province (∼1:30,182), China, in which Ningbo area was excluded (Zheng et al., 2017; Lin et al., 2020). All these results suggest PCD incidence rate is different across different countries and east Asians are more likely to develop PCD than individuals with European ancestry.

This study used a large number of samples to analyze the reference interval of each acylcarnitine, which improves the screening and diagnosing accuracy of PCD in Ningbo area. The cutoff C0 values used in our laboratory (9.50–57.00 μM) were lower than the previously reported values (15.0–95.0 μM) in the children’s hospital, Zhejiang university school of medicine (Huang et al., 2011). The newborn screening data explored many genetic disorders across a wide spectrum of racial/ethnicity classifications, different cutoff values might be required to reduce the risk of false-positive cases in different laboratories or regions. The difference of C0, C2, and C3 concentration between newborns with PCD and maternal PCD is rarely reported based on our knowledge. As the results shown in Table 2 and Figure 2, newborns with PCD were metabolically dissimilar from those with maternal PCD. We found that the mean initial free carnitine (C0) concentrations were significantly lower (P = 0.013) in infants with maternal PCD (5.05 ± 1.67 μM) than those with PCD (6.96 ± 1.83 μM). This suggests using the C0 level to determine PCD can have false positives and next-generation sequencing can improve the diagnosis precision. However, the difference in C2/C3 levels between these two groups did not show a significant difference. Importantly, we found that the concentration of C0, C2, and C3 can be increased to normal carnitine levels after regular systemic treatment with oral levocarnitine (L-carnitine) (Table 3). Patients with infantile metabolic disturbance and childhood myopathy will have a good prognosis. The treatment method is simple, safe, and effective.

More than 110 variants have been reported in the SLC22A5 gene region and they were found to be associated with PCD. Among them, c.1400C > G (p.S467C) is considered to be the most common variant in Chinese patients. In our study, the most frequent variants were c.1400C > G (48.84%) and c.51C > G (16.28%) in Ningbo area, which were similar to other places in China. There were 15 different variants in SLC22A5 gene identified in our study and six of them are novel variants (c.1161_1162insA, c.1173G > A, c.1343T > G, c.137_159del, c.1420A > C, and c.1490G > A). c.1490G > A was predicted to be probably damaging. c.1173G > A variant was considered as early termination and predicted to be damaging. The c.137_159del (p. Pro46Argfs84) is a frameshift variant with truncated protein, c.1161_1162insA is also a frameshift variant and protein features might be affected. According to the UniProt database analysis, the protein position at 88-517 of SLC22A5 (UniProt ID: O76082) is a major facilitator superfamily domain, the novel variants except c.137_159del are all included in the domain and these variants may affect structure and function resulting in PCD. Further protein function analysis would be required to validate the predicted functions of these novel variants.

Conclusion

In conclusion, 53 out of 265,524 newborns in Ningbo area were identified to have low free carnitine (C0) level and further genetic analysis found 26 of them carrying SLC22A5 variants. Among them, 16 newborns were confirmed to have PCD, and three have maternal PCD. c.1400C > G (p. S467C) and c.51C > G (p. F17L) were the most frequent variants in the SLC22A5 gene in Ningbo area and six novel variants were discovered in this study. These new variants expand the variant spectrum of SLC22A5 and provide additional molecular evidence for the etiological diagnosis of the patient with PCD.

Data Availability Statement

The data presented in the study are deposited in the European Nucleotide Archive (ENA) repository, accession number: PRJEB44918.

Ethics Statement

The studies involving human participants were reviewed and approved by the Ethics Committee of the Ningbo Women and Children’s Hospital. Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Funding

This work was supported by the Social Development Public Welfare Foundation of Ningbo (Grant Nos. 202002N3150 and 2019C50070), the First Municipal Medical and Health Brand Foundation of Ningbo (Grant No. PPXK2018-06), the Medical and Health Project of Zhejiang Province (Grant No. 2020KY890), and the National Key R&D Projects (Grant No. 2017YFC1001703).

Conflict of Interest

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.

Acknowledgments

We are grateful to Genuine Diagnostic Laboratory (Hangzhou, China) for analyzing the data. We would like to thank our patients for agreeing to donate their personal data to our study and have these been published.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2021.686137/full#supplementary-material

Footnotes

  1. ^ http://www.hgmd.cf.ac.uk/ac/index.php
  2. ^ https://www.ncbi.nlm.nih.gov/clinvar/
  3. ^ http://exac.broadinstitute.org/
  4. ^ https://gnomad.broadinstitute.org/
  5. ^ http://www.1000genomes.org/
  6. ^ https://varsome.com
  7. ^ http://www.arup.utah.edu/database/OCTN2/OCTN2_display.php

References

Dhondt, J. L. (2010). Expanded newborn screening: social and ethical issues. J. Inherit. Metab. Dis. 33, S211–S217. doi: 10.1007/s10545-010-9138-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Gallant, N. M., Leydiker, K., Tang, H., Feuchtbaum, L., Lorey, F., Puckett, R., et al. (2012). Biochemical, molecular, and clinical characteristics of children with short chain acyl-CoA dehydrogenase deficiency detected by newborn screening in California. Mol. Genet. Metab. 106, 55–61. doi: 10.1016/j.ymgme.2012.02.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, X. W., Yang, J. B., Tong, F., Yang, R. L., Mao, H. Q., Zhou, X. L., et al. (2011). Screening for neonatal inborn errors of metabolism by electrospray ionization-tandem mass spectrometry and follow-up. Zhonghua Er Ke Za Zhi 49, 765–770.

Google Scholar

Karaceper, M. D., Chakraborty, P., Coyle, D., Wilson, K., Kronick, J. B., Hawken, S., et al. (2016). The health system impact of false positive newborn screening results for medium-chain acyl-CoA dehydrogenase deficiency: a cohort study. Orphanet. J. Rare Dis. 11:12. doi: 10.1186/s13023-016-0391-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Kilic, M., Ozgul, R. K., Coskun, T., Yucel, D., Karaca, M., Sivri, H. S., et al. (2012). Identification of mutations and evaluation of cardiomyopathy in Turkish patients with primary carnitine deficiency. JIMD Rep. 3, 17–23. doi: 10.1007/8904_2011_36

CrossRef Full Text | Google Scholar

Kopanos, C., Tsiolkas, V., Kouris, A., Chapple, C. E., Albarca Aguilera, M., Meyer, R., et al. (2019). VarSome: the human genomic variant search engine. Bioinformatics 35, 1978–1980. doi: 10.1093/bioinformatics/bty897

PubMed Abstract | CrossRef Full Text | Google Scholar

Lahrouchi, N., Lodder, E. M., Mansouri, M., Tadros, R., Zniber, L., Adadi, N., et al. (2017). Exome sequencing identifies primary carnitine deficiency in a family with cardiomyopathy and sudden death. Eur. J. Hum. Genet. 25, 783–787. doi: 10.1038/ejhg.2017.22

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, F. Y., El-Hattab, A. W., Bawle, E. V., Boles, R. G., Schmitt, E. S., Scaglia, F., et al. (2010). Molecular spectrum of SLC22A5 (OCTN2) gene mutations detected in 143 subjects evaluated for systemic carnitine deficiency. Hum. Mutat. 31, E1632–E1651. doi: 10.1002/humu.21311

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, Y., Xu, H., Zhou, D., Hu, Z., Zhang, C., Hu, L., et al. (2020). Screening 3.4 million newborns for primary carnitine deficiency in Zhejiang Province, China. Clin. Chim. Acta 507, 199–204. doi: 10.1016/j.cca.2020.04.039

PubMed Abstract | CrossRef Full Text | Google Scholar

Lindner, M., Gramer, G., Haege, G., Fang-Hoffmann, J., Schwab, K. O., Tacke, U., et al. (2011). Efficacy and outcome of expanded newborn screening for metabolic diseases–report of 10 years from South-West Germany. Orphanet. J. Rare Dis. 6:44. doi: 10.1186/1750-1172-6-44

PubMed Abstract | CrossRef Full Text | Google Scholar

Longo, N., Amat di San Filippo, C., and Pasquali, M. (2006). Disorders of carnitine transport and the carnitine cycle. Am. J. Med. Genet. C Semin. Med. Genet. 142C, 77–85. doi: 10.1002/ajmg.c.30087

PubMed Abstract | CrossRef Full Text | Google Scholar

Longo, N., Frigeni, M., and Pasquali, M. (2016). Carnitine transport and fatty acid oxidation. Biochim. Biophys. Acta 1863, 2422–2435. doi: 10.1016/j.bbamcr.2016.01.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Magoulas, P. L., and El-Hattab, A. W. (2012). Systemic primary carnitine deficiency: an overview of clinical manifestations, diagnosis, and management. Orphanet. J. Rare Dis. 7:68. doi: 10.1186/1750-1172-7-68

PubMed Abstract | CrossRef Full Text | Google Scholar

Nezu, J.-I., Tamai, I., Oku, A., Ohashi, R., Yabuuchi, H., Hashimoto, N., et al. (1999). Primary systemic carnitine deficiency is caused by mutations in a gene encoding sodium ion-dependent carnitine transporter. Nat. Genet. 21, 91–94. doi: 10.1038/5030

PubMed Abstract | CrossRef Full Text | Google Scholar

Richards, S., Aziz, N., Bale, S., Bick, D., Das, S., Gastier-Foster, J., et al. (2015). Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet. Med. 17, 405–424. doi: 10.1038/gim.2015.30

PubMed Abstract | CrossRef Full Text | Google Scholar

Rose, E. C., di San Filippo, C. A., Ndukwe Erlingsson, U. C., Ardon, O., Pasquali, M., and Longo, N. (2012). Genotype-phenotype correlation in primary carnitine deficiency. Hum. Mutat. 33, 118–123. doi: 10.1002/humu.21607

PubMed Abstract | CrossRef Full Text | Google Scholar

Shibata, N., Hasegawa, Y., Yamada, K., Kobayashi, H., Purevsuren, J., Yang, Y., et al. (2018). Diversity in the incidence and spectrum of organic acidemias, fatty acid oxidation disorders, and amino acid disorders in Asian countries: Selective screening vs. expanded newborn screening. Mol. Genet. Metab. Rep. 16, 5–10. doi: 10.1016/j.ymgmr.2018.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Therrell, B. L., Padilla, C. D., Loeber, J. G., Kneisser, I., Saadallah, A., Borrajo, G. J., et al. (2015). Current status of newborn screening worldwide: 2015. Semin. Perinatol. 39, 171–187. doi: 10.1053/j.semperi.2015.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Tiwana, S. K., Rascati, K. L., and Park, H. (2012). Cost-effectiveness of expanded newborn screening in Texas. Value Health 15, 613–621. doi: 10.1016/j.jval.2012.02.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, T., Ma, J., Zhang, Q., Gao, A., Wang, Q., Li, H., et al. (2019). Expanded newborn screening for inborn errors of metabolism by tandem mass spectrometry in Suzhou, China: disease spectrum, prevalence, genetic characteristics in a Chinese population. Front. Genet. 10:1052. doi: 10.3389/fgene.2019.01052

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y., Kelly, M. A., Cowan, T. M., and Longo, N. (2000). A missense mutation in the OCTN2 gene associated with residual carnitine transport activity. Hum. Mutat. 15, 238–245.

Google Scholar

Webster, D., Joint Newborn Screening Committee, Human Genetics Society of Australasia, and Royal Australasian College of Physicians. (2003). Newborn screening in Australia and New Zealand. Southeast Asian J. Trop. Med. Public Health 34, 69–70.

Google Scholar

Wiley, V., Carpenter, K., and Wilcken, B. (1999). Newborn screening with tandem mass spectrometry: 12 months’ experience in NSW Australia. Acta Paediatr. Suppl. 88, 48–51. doi: 10.1111/j.1651-2227.1999.tb01157.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Zheng, J., Zhang, Y., Hong, F., Yang, J., Tong, F., Mao, H., et al. (2017). Screening for fatty acid oxidation disorders of newborns in Zhejiang province:prevalence, outcome and follow-up. Zhejiang Da Xue Xue Bao Yi Xue Ban 46, 248–255.

Google Scholar

Keywords: primary carnitine deficiency, newborn screening, free carnitine, novel variants, SLC22A5

Citation: Yang X, Li Q, Wang F, Yan L, Zhuang D, Qiu H, Li H and Chen L (2021) Newborn Screening and Genetic Analysis Identify Six Novel Genetic Variants for Primary Carnitine Deficiency in Ningbo Area, China. Front. Genet. 12:686137. doi: 10.3389/fgene.2021.686137

Received: 26 March 2021; Accepted: 03 June 2021;
Published: 24 June 2021.

Edited by:

Lingqian Wu, Central South University, China

Reviewed by:

Yanjie Fan, Shanghai Jiao Tong University, China
Sateesh Maddirevula, King Faisal Specialist Hospital & Research Centre, Saudi Arabia

Copyright © 2021 Yang, Li, Wang, Yan, Zhuang, Qiu, Li and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.

*Correspondence: Haibo Li, lihaibo-775@163.com; Liang Chen, nbDrchl@163.com

These authors have contributed equally to this work

Disclaimer: 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.