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Li H, Shao F, Zhou W. Newborn screening for isovaleric acidemia: A case report of a Chinese patient with novel variants. Mol Genet Metab Rep 2024; 39:101088. [PMID: 38736698 PMCID: PMC11088185 DOI: 10.1016/j.ymgmr.2024.101088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 04/24/2024] [Accepted: 04/29/2024] [Indexed: 05/14/2024] Open
Abstract
Isovaleric acidemia (IVA) is a rare autosomal recessive disorder that manifests as a deficiency of isovaleryl-CoA dehydrogenase (IVD), a key enzyme in leucine metabolism. The clinical presentations associated with IVD deficiency are variable and include feeding intolerance, vomiting, metabolic acidosis, ketonemia, "sweaty feet" odor, lethargy, coma and even death. Tandem mass spectrometry (MS/MS) and gas chromatography-mass spectrometry (GC/MS) methods were used to perform organic acid analysis of blood and urine samples from IVA patients, and the genetic analysis included next generation sequencing (NGS) and Sanger sequencing of the IVD gene. Here, we report the case of an almost seven-year-old male patient from a Chinese family who was asymptomatic during the newborn period, including the clinical manifestations and examination results. Genetic analysis revealed a previously unreported compound heterozygous variant in the IVD gene: c.593G > C (p.W198S) and c.859C > T (p.R287W).
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Affiliation(s)
- Huizhong Li
- Neonatal Disease Screening Center, The Affiliated Xuzhou Maternity and Child Health Care Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Fang Shao
- Neonatal Disease Screening Center, The Affiliated Xuzhou Maternity and Child Health Care Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Wei Zhou
- Neonatal Disease Screening Center, The Affiliated Xuzhou Maternity and Child Health Care Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
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Ibarra-González I, Fernández-Lainez C, Vela-Amieva M, Guillén-López S, Belmont-Martínez L, López-Mejía L, Carrillo-Nieto RI, Guillén-Zaragoza NA. A Review of Disparities and Unmet Newborn Screening Needs over 33 Years in a Cohort of Mexican Patients with Inborn Errors of Intermediary Metabolism. Int J Neonatal Screen 2023; 9:59. [PMID: 37873850 PMCID: PMC10594536 DOI: 10.3390/ijns9040059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/26/2023] [Accepted: 10/02/2023] [Indexed: 10/25/2023] Open
Abstract
Advances in an early diagnosis by expanded newborn screening (NBS) have been achieved mainly in developed countries, while populations of middle- and low-income countries have poor access, leading to disparities. Expanded NBS in Mexico is not mandatory. Herein, we present an overview of the differences and unmet NBS needs of a group of Mexican patients with inborn errors of intermediary metabolism (IEiM), emphasizing the odyssey experienced to reach a diagnosis. We conducted a retrospective observational study of a historical cohort of patients with IEiM from a national reference center. A total of 924 patients with IEiM were included. Although 72.5% of the diseases identified are detectable by expanded NBS, only 35.4% of the patients were screened. The mortality in the unscreened group was almost two-fold higher than that in the screened group. Patients experienced a median diagnostic delay of 4 months, which is unacceptably long considering that to prevent disability and death, these disorders must be treated in the first days of life. Patients had to travel long distances to our reference center, contributing to their unacceptable diagnostic odyssey. This study highlights the urgent need to have an updated, expanded NBS program with adequate follow up in Mexico and promote the creation of regional medical care centers. We also provide compelling evidence that could prove valuable to decision makers overseeing public health initiatives for individuals impacted by IEiM from middle- and low-income countries.
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Affiliation(s)
- Isabel Ibarra-González
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
- Unidad de Genética de la Nutrición, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - Cynthia Fernández-Lainez
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
| | - Marcela Vela-Amieva
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
| | - Sara Guillén-López
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
| | - Leticia Belmont-Martínez
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
| | - Lizbeth López-Mejía
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
| | - Rosa Itzel Carrillo-Nieto
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
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Ding S, Liang L, Qiu W, Zhang H, Xiao B, Dong L, Ji W, Xu F, Gong Z, Gu X, Wang L, Han L. Prenatal Diagnosis of Isovaleric Acidemia From Amniotic Fluid Using Genetic and Biochemical Approaches. Front Genet 2022; 13:898860. [PMID: 35846131 PMCID: PMC9280075 DOI: 10.3389/fgene.2022.898860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Isovaleric acidemia (IVA) is an inborn error of leucine metabolism and different approaches have been applied to its prenatal diagnosis. However, systemic application of a biochemical strategy is rare. To evaluate its reliability and validity, we conducted a retrospective study of our experience with metabolite measurement together with genetic analysis in IVA prenatal diagnosis at a single center. Methods: A total of eight pregnancies whose probands were diagnosed as IVA were referred to our center for prenatal diagnosis. Prenatal data of genetic analysis and metabolite measurement using tandem mass spectrometry (MS/MS) and gas chromatography/mass spectrometry (GC/MS) in amniotic fluid (AF) samples were retrospectively reviewed. Results: Genetic and biochemical results were both available in these eight at-risk fetuses. Among them, two fetuses had higher levels of isovalerylcarnitine (C5) and C5/acetylcarnitine (C2) in AF compared with normal reference range and, thus, were determined to be affected, both of whom were found to carry compound heterogeneous mutations according to genetic analysis. The remaining six fetuses were determined to be unaffected based on a normal AF metabolite profile, except one showed slightly elevated C5 and they were found to be carriers according to genetic analysis. However, the level of isovalerylglycine (IVG) could not be detected at all in both groups. Conclusion: The biochemical analysis, as a quick and convenient method, could be an additional reliable option for the prenatal diagnosis of IVA, especially in families with inconclusive genetic results, and can achieve a more precise diagnosis in conjunction with mutation analysis.
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Affiliation(s)
- Si Ding
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, Shanghai Institute of Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lili Liang
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, Shanghai Institute of Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenjuan Qiu
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, Shanghai Institute of Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huiwen Zhang
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, Shanghai Institute of Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bing Xiao
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, Shanghai Institute of Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liping Dong
- Neonatal Disease Screening Center, Zibo Maternal and Child Health Hospital, Zibo, China
| | - Wenjun Ji
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, Shanghai Institute of Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Feng Xu
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, Shanghai Institute of Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhuwen Gong
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, Shanghai Institute of Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuefan Gu
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, Shanghai Institute of Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Wang
- Center for Prenatal Diagnosis, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Lei Wang, ; Lianshu Han,
| | - Lianshu Han
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, Shanghai Institute of Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Lei Wang, ; Lianshu Han,
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Tsai ACH, Lin HT, Chou M, Bolen J, Zimmerman C, DeMarzo D, Enchautegui-Colon Y. Compound heterozygote variants: c.848A > G; p.Glu283Gly and c.890C > T; p.Ala297Val, of Isovaleric acid-CoA dehydrogenase (IVD) gene causing severe Isovaleric acidemia with hyperammonemia. Mol Genet Metab Rep 2022; 31:100859. [PMID: 35782626 PMCID: PMC9248227 DOI: 10.1016/j.ymgmr.2022.100859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 03/06/2022] [Accepted: 03/07/2022] [Indexed: 11/14/2022] Open
Abstract
With the execution of expanded newborn screen (NBS) program nationwide, it is uncommon to see severe hyperammonemia associated with isovaleric acidemia (IVA). We present a seven-day-old boy with severe IVA complicated by hyperammonemia. This child was flagged by NBS at 4 days old, but confirmatory testing was delayed due to COVID19 pandemic and parental skepticism. His parents did not adhere to the leucine-restricted diet as recommended. On day 7, the patient presented to the ER with ammonia of 588 μg/dL. Ammonia subsequently rose to >1000 μg/dL. This child received carnitine, 1 dose of Ammonul (sodium benzoate and sodium phenylacetate), arginine, carglumic acid (Carbaglu) and CRRT. Plasma amino acid assay revealed a glutamine level of 256 μmol/L, which is below the lower limit of normal upon arrival to ER and PICU. The hyperammonemia was corrected in 15 h and with the continued use of carglumic acid for 3 days, there was no rebound of hyperammonemia. However, the patient suffered from bone marrow suppression associated with the organic acidemia and required frequent platelet transfusions, as well as G-CSF for neutropenia. The management of this patient provides supporting evidence of the many theoretic metabolic “facts” including why Ammonul is not helpful in organic acidemias.
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Inherited metabolic diseases: aminoacidopathies, organic acidemia, defects of mitochondrial β-oxidation. A brief overview. ACTA BIOMEDICA SCIENTIFICA 2021. [DOI: 10.29413/abs.2021-6.5.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Inherited metabolic diseases are a large group of inherited monogenic diseases. Metabolic disorders can cause child disability and mortality. Tandem mass spectrometry is a powerful technology that allows to diagnosis a large number of hereditary metabolic diseases. Clinical manifestations are variable, but more often the damages of nervous system, heart, liver, kidneys, hyperammonemia, hypo/hyperglycemia take place. The disease can make its debut at any age, but the severe forms of the disease manifest at infancy. Early diagnosis and treatment can significantly improve the prognosis; many countries expand the list of diseases included in screening programs. At the beginning of 2021 in most regions of the Russian Federation mass newborn screening is carried out for five hereditary metabolic diseases. The age and the range of clinical manifestation are variable; therefore, knowledge of this pathology is very important both for pediatricians and therapists, and for specialized doctors. The article presents a brief description of next groups of metabolic diseases: aminoacidopathies, organic acidurias and fatty acid oxidation defects.
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Teke Kisa P, Arslan N. Inborn errors of immunity and metabolic disorders: current understanding, diagnosis, and treatment approaches. J Pediatr Endocrinol Metab 2021; 34:277-294. [PMID: 33675210 DOI: 10.1515/jpem-2020-0277] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 11/19/2020] [Indexed: 12/31/2022]
Abstract
Inborn errors of metabolism consist of a heterogeneous group of disorders with various organ systems manifestations, and some metabolic diseases also cause immunological disorders or dysregulation. In this review, metabolic diseases that affect the immunological system and particularly lead to primary immune deficiency will be reviewed. In a patient with frequent infections and immunodeficiency, the presence of symptoms such as growth retardation, abnormal facial appearance, heart, skeletal, lung deformities, skin findings, arthritis, motor developmental retardation, seizure, deafness, hepatomegaly, splenomegaly, impairment of liver function tests, the presence of anemia, thrombocytopenia and eosinophilia in hematological examinations should suggest metabolic diseases for the underlying cause. In some patients, these phenotypic findings may appear before the immunodeficiency picture. Metabolic diseases leading to immunological disorders are likely to be rare but probably underdiagnosed. Therefore, the presence of recurrent infections or autoimmune findings in a patient with a suspected metabolic disease should suggest that immune deficiency may also accompany the picture, and diagnostic examinations in this regard should be deepened.
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Affiliation(s)
- Pelin Teke Kisa
- Division of Pediatric Metabolism and Nutrition, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey
| | - Nur Arslan
- Division of Pediatric Metabolism and Nutrition, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey
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Wang B, Zhang Q, Wang Q, Ma J, Cao X, Chen Y, Pan Y, Li H, Xiang J, Wang T. Investigating the Metabolic Model in Preterm Neonates by Tandem Mass Spectrometry: A Cohort Study. Horm Metab Res 2021; 53:112-123. [PMID: 33246344 DOI: 10.1055/a-1300-2294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
The changes of metabolite profiles in preterm birth have been demonstrated using newborn screening data. However, little is known about the holistic metabolic model in preterm neonates. The aim was to investigate the holistic metabolic model in preterm neonates. All metabolite values were obtained from a cohort data of routine newborn screening. A total of 261 758 newborns were recruited and randomly divided into a training subset and a testing subset. Using the training subset, 949 variates were considered to establish a logistic regression model for identifying preterm birth (<37 weeks) from term birth (≥37 weeks). Sventy-two variates (age at collection, TSH, 17α-OHP, proline, tyrosine, C16:1-OH, C18:2, and 65 ratios) entered into the final metabolic model for identifying preterm birth from term birth. Among the variates entering into the final model of PTB [Leucine+Isoleucine+Proline-OH)/Valine (OR=38.36], (C3DC+C4-OH)/C12 (OR=15.58), Valine/C5 (OR=6.32), [Leucine+isoleucine+Proline-OH)/Ornithine (OR=2.509)], and Proline/C18:1 (OR=2.465) have the top five OR values, and [Leucine+Isoleucine+Proline-OH)/C5 (OR=0.05)], [Leucine+Isoleucine+Proline-OH)/Phenylalanine (OR=0.214)], proline/valine (OR=0.230), C16/C18 (OR=0.259), and Alanine/free carnitine (OR=0.279) have the five lowest OR values. The final metabolic model had a capacity of identifying preterm infants with >80% accuracy in both the training and testing subsets. When identifying neonates ≤32 weeks from those >32 weeks, it had a robust performance with nearly 95% accuracy in both subsets. In summary, we have established an excellent metabolic model in preterm neonates. These findings could provide new insights for more efficient nutrient supplements and etiology of preterm birth.
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Affiliation(s)
- Benjing Wang
- Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Qin Zhang
- Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Qi Wang
- Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Jun Ma
- Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Xiaoju Cao
- Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Yaping Chen
- Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Yuhong Pan
- Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Hong Li
- Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Jingjing Xiang
- Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Ting Wang
- Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
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