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Zhu ZX, Genchev GZ, Wang YM, Ji W, Ren YY, Tian GL, Sriswasdi S, Lu H. Improving the second-tier classification of methylmalonic acidemia patients using a machine learning ensemble method. World J Pediatr 2024:10.1007/s12519-023-00788-6. [PMID: 38401044 DOI: 10.1007/s12519-023-00788-6] [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: 06/07/2023] [Accepted: 12/10/2023] [Indexed: 02/26/2024]
Abstract
INTRODUCTION Methylmalonic acidemia (MMA) is a disorder of autosomal recessive inheritance, with an estimated prevalence of 1:50,000. First-tier clinical diagnostic tests often return many false positives [five false positive (FP): one true positive (TP)]. In this work, our goal was to refine a classification model that can minimize the number of false positives, currently an unmet need in the upstream diagnostics of MMA. METHODS We developed machine learning multivariable screening models for MMA with utility as a secondary-tier tool for false positives reduction. We utilized mass spectrometry-based features consisting of 11 amino acids and 31 carnitines derived from dried blood samples of neonatal patients, followed by additional ratio feature construction. Feature selection strategies (selection by filter, recursive feature elimination, and learned vector quantization) were used to determine the input set for evaluating the performance of 14 classification models to identify a candidate model set for an ensemble model development. RESULTS Our work identified computational models that explore metabolic analytes to reduce the number of false positives without compromising sensitivity. The best results [area under the receiver operating characteristic curve (AUROC) of 97%, sensitivity of 92%, and specificity of 95%] were obtained utilizing an ensemble of the algorithms random forest, C5.0, sparse linear discriminant analysis, and autoencoder deep neural network stacked with the algorithm stochastic gradient boosting as the supervisor. The model achieved a good performance trade-off for a screening application with 6% false-positive rate (FPR) at 95% sensitivity, 35% FPR at 99% sensitivity, and 39% FPR at 100% sensitivity. CONCLUSIONS The classification results and approach of this research can be utilized by clinicians globally, to improve the overall discovery of MMA in pediatric patients. The improved method, when adjusted to 100% precision, can be used to further inform the diagnostic process journey of MMA and help reduce the burden for patients and their families.
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Affiliation(s)
- Zhi-Xing Zhu
- Shanghai Engineering Research Center for Big Data in Pediatric Precision Medicine, Center for Biomedical Informatics, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Georgi Z Genchev
- Center of Excellence in Computational Molecular Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Yan-Min Wang
- Newborn Screening Center, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Ji
- Newborn Screening Center, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yong-Yong Ren
- SJTU-Yale Joint Center for Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Guo-Li Tian
- Newborn Screening Center, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Sira Sriswasdi
- Center of Excellence in Computational Molecular Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
- Center for Artificial Intelligence in Medicine, Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
| | - Hui Lu
- Shanghai Engineering Research Center for Big Data in Pediatric Precision Medicine, Center for Biomedical Informatics, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
- SJTU-Yale Joint Center for Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
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2
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Lucienne M, Gerlini R, Rathkolb B, Calzada-Wack J, Forny P, Wueest S, Kaech A, Traversi F, Forny M, Bürer C, Aguilar-Pimentel A, Irmler M, Beckers J, Sauer S, Kölker S, Dewulf JP, Bommer GT, Hoces D, Gailus-Durner V, Fuchs H, Rozman J, Froese DS, Baumgartner MR, de Angelis MH. Insights into energy balance dysregulation from a mouse model of methylmalonic aciduria. Hum Mol Genet 2023; 32:2717-2734. [PMID: 37369025 PMCID: PMC10460489 DOI: 10.1093/hmg/ddad100] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/25/2023] [Accepted: 06/19/2023] [Indexed: 06/29/2023] Open
Abstract
Inherited disorders of mitochondrial metabolism, including isolated methylmalonic aciduria, present unique challenges to energetic homeostasis by disrupting energy-producing pathways. To better understand global responses to energy shortage, we investigated a hemizygous mouse model of methylmalonyl-CoA mutase (Mmut)-type methylmalonic aciduria. We found Mmut mutant mice to have reduced appetite, energy expenditure and body mass compared with littermate controls, along with a relative reduction in lean mass but increase in fat mass. Brown adipose tissue showed a process of whitening, in line with lower body surface temperature and lesser ability to cope with cold challenge. Mutant mice had dysregulated plasma glucose, delayed glucose clearance and a lesser ability to regulate energy sources when switching from the fed to fasted state, while liver investigations indicated metabolite accumulation and altered expression of peroxisome proliferator-activated receptor and Fgf21-controlled pathways. Together, these shed light on the mechanisms and adaptations behind energy imbalance in methylmalonic aciduria and provide insight into metabolic responses to chronic energy shortage, which may have important implications for disease understanding and patient management.
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Affiliation(s)
- Marie Lucienne
- Division of Metabolism and Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, 8032 Zurich, Switzerland
- radiz – Rare Disease Initiative Zurich, Clinical Research Priority Program for Rare Diseases, University of Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Raffaele Gerlini
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Birgit Rathkolb
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University München, Munich, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Julia Calzada-Wack
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Patrick Forny
- Division of Metabolism and Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, 8032 Zurich, Switzerland
| | - Stephan Wueest
- Division of Pediatric Endocrinology and Diabetology and Children’s Research Center, University Children's Hospital, University of Zurich, 8032 Zurich, Switzerland
| | - Andres Kaech
- Center for Microscopy and Image Analysis, University of Zurich, Zurich, Switzerland
| | - Florian Traversi
- Division of Metabolism and Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, 8032 Zurich, Switzerland
| | - Merima Forny
- Division of Metabolism and Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, 8032 Zurich, Switzerland
| | - Céline Bürer
- Division of Metabolism and Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, 8032 Zurich, Switzerland
| | - Antonio Aguilar-Pimentel
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Martin Irmler
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Johannes Beckers
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Sven Sauer
- Division of Pediatric Neurology and Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital, Heidelberg, Germany
| | - Stefan Kölker
- Division of Pediatric Neurology and Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital, Heidelberg, Germany
| | - Joseph P Dewulf
- Department of Biochemistry, de Duve Institute, UCLouvain, Brussels, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Brussels, Belgium
- Department of Laboratory Medicine, Cliniques universitaires Saint-Luc, UCLouvain, Brussels, Belgium
| | - Guido T Bommer
- Department of Biochemistry, de Duve Institute, UCLouvain, Brussels, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Brussels, Belgium
| | - Daniel Hoces
- Institute of Food, Nutrition and Health, D-HEST, ETH Zurich, Zurich, Switzerland
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Helmut Fuchs
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Jan Rozman
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - D Sean Froese
- Division of Metabolism and Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, 8032 Zurich, Switzerland
- radiz – Rare Disease Initiative Zurich, Clinical Research Priority Program for Rare Diseases, University of Zurich, Zurich, Switzerland
| | - Matthias R Baumgartner
- Division of Metabolism and Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, 8032 Zurich, Switzerland
- radiz – Rare Disease Initiative Zurich, Clinical Research Priority Program for Rare Diseases, University of Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Martin Hrabě de Angelis
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Chair of Experimental Genetics, School of Life Science Weihenstephan, Technische Universität München, Freising, Germany
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Huang B, Yang S, Ye S. Systemic Infection Predictive Value of Procalcitonin to Lactic Acid Ratio in Diabetes Ketoacidosis Patients. Diabetes Metab Syndr Obes 2022; 15:2127-2133. [PMID: 35911501 PMCID: PMC9325875 DOI: 10.2147/dmso.s371437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/19/2022] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Early detection of bacterial infections associated with adequate antibiotic treatment is key to improving diabetic ketoacidosis (DKA) outcomes. Our study aimed to investigate the different sepsis markers (including procalcitonin to lactic acid ratio, PLR) to diagnose bacterial infection in patients with DKA within one hour after admission. METHODS A total of 165 patients diagnosed with DKA were enrolled between July 2014 and July 2018 and divided into an infection group (N =62) and a non-infection group (N=103) based on the positive aetiological tests such as blood culture, sputum culture, urine culture, or definite focus of pulmonary, soft tissue, kidney, etc. RESULTS Our findings suggest the following: 1) leucocytes (threshold above 10×109 /L) and PLR (threshold above 0.438) within one hour after admission can help to identify patients with infection in the context of DKA. 2) A subgroup analysis demonstrated that PLR also has a high diagnostic efficacy for infection in patients with DKA, regardless of the type of diabetes. CONCLUSION This study concludes that leucocyte count (threshold > 10×109/L) and PLR (threshold above 0.438) show a diagnostic value to help distinguish DKA patients with infection. By combining these two markers, the reduction of antibiotic misuse may be possible.
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Affiliation(s)
- Bin Huang
- Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, People’s Republic of China
- Research Institution of Diabetes, University of Science and Technology of China, Hefei, People’s Republic of China
| | - Shengju Yang
- Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, People’s Republic of China
| | - Shandong Ye
- Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, People’s Republic of China
- Correspondence: Shandong Ye, Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, People’s Republic of China, Email
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4
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Estrella J, Wiley V, Simmons D, Hng TM, McLean M. Effect of Maternal Metformin Treatment in Pregnancy on Neonatal Metabolism: Evidence From Newborn Metabolic Screening. Diabetes Care 2021; 44:2536-2541. [PMID: 34475030 DOI: 10.2337/dc21-0327] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 08/08/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To investigate effects of maternal diabetes and metformin treatment on metabolic newborn screening (NBS) results of infants born to mothers with hyperglycemia during pregnancy. RESEARCH DESIGN AND METHODS Retrospective case-control study. NBS results of infants born to mothers treated with metformin for hyperglycemia during pregnancy were compared with diet-treated subjects with diabetes and matched normal control subjects. EXCLUSIONS maternal type 1 diabetes, major fetal anomalies, and incomplete infant data. Inclusions: maternal hyperglycemia in pregnancy treated with diet alone or diet plus metformin. Results from the New South Wales Newborn Screening Program (dried infant blood spot sample, 24-72 h after birth) for 25 routinely studied analytes were measured using mass spectrometry. Data from metformin-exposed and control infants were compared using nonparametric methods and multiples of the median for each analyte. RESULTS A total of 574 case subjects were compared with 952 diet-treated case subjects with diabetes and 979 control subjects. Metformin-exposed infants had shorter gestational age (266 ± 7 vs. 272 ± 10 vs. 274 ± 9 days) (P < 0.001) and lower birth weights (3.28 ± 0.51 vs. 3.29 ± 0.49 vs. 3.33 ± 0.43 kg) (P = 0.008). Short-, medium-, and one long-chain acylcarntine (tetradecanoylcarnitine [C14]) concentrations were higher in the metformin-exposed group compared with normal control subjects. Comparison with diet-treated control subjects with diabetes (to eliminate confounding by hyperglycemia) continued to show raised butyrylcarnitine (C4), isovalerylcarnitine (C5), and glutarylcarnitine (C5D) in the metformin-exposed group. There was no evidence of vitamin B12 deficiency (low methionine and elevated propionylcarnitine [C3]) in metformin-exposed infants. All results were within normal population limits. CONCLUSIONS We have identified subtle (nonpathological) changes in neonatal metabolism that represent a signature effect of fetal metformin exposure.
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Affiliation(s)
- Jane Estrella
- School of Medicine, Macarthur Clinical School, Western Sydney University, Sydney, New South Wales, Australia
| | - Veronica Wiley
- NSW Newborn Screening Program, Sydney, New South Wales, Australia.,Discipline of Paediatrics and Child Health, University of Sydney, Sydney, New South Wales, Australia
| | - David Simmons
- School of Medicine, Macarthur Clinical School, Western Sydney University, Sydney, New South Wales, Australia
| | - Tien-Ming Hng
- School of Medicine, Macarthur Clinical School, Western Sydney University, Sydney, New South Wales, Australia.,Department of Endocrinology, Blacktown Hospital, Western Sydney Local Health District, Blacktown, New South Wales, Australia
| | - Mark McLean
- School of Medicine, Macarthur Clinical School, Western Sydney University, Sydney, New South Wales, Australia.,Department of Endocrinology, Blacktown Hospital, Western Sydney Local Health District, Blacktown, New South Wales, Australia.,Research and Education Network, Western Sydney Local Health District, Westmead Hospital, Westmead, New South Wales, Australia
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5
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Abdelkreem E, Magdy RM, Sadek AA. Characterization and outcome of 11 children with non-diabetic ketoacidosis. J Pediatr Endocrinol Metab 2021; 34:95-102. [PMID: 33581701 DOI: 10.1515/jpem-2020-0324] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 09/03/2020] [Indexed: 02/05/2023]
Abstract
OBJECTIVES To study the clinical and laboratory features, management, and outcome of pediatric non-diabetic ketoacidosis (NDKA). METHODS Between May 2018 and April 2020, we prospectively collected children under 18 years who presented with ketoacidosis, defined as ketosis (urinary ketones ≥++ and/or serum β-hydroxybutyrate level ≥3 mmol/L) and metabolic acidosis (pH <7.3 and HCO3 - <15 mmol/L). Children with HbA1c level ≥6.5% at initial presentation and those meeting the diagnostic criteria for DM during follow-up were excluded. Data were collected on demographics, clinical and laboratory features, management, and outcome. RESULTS Eleven children with 19 episodes of NDKA were identified. The median age was 12 months (range from 5 months to 5 years). They manifested dehydration and disturbed conscious level (all cases), convulsions (n=6), hypoglycemia (n=6), hyperglycemia (n=2) and significant hyperammonemia (n=4). Most cases required intensive care management. Death or neurodevelopmental impairment occurred in six cases. Seven cases had inborn errors of metabolism (IEMs). Other cases were attributed to starvation, sepsis, and salicylate intoxication. CONCLUSIONS This is the largest case series of pediatric NDKA. Ketoacidosis, even with hyperglycemia, is not always secondary to diabetes mellitus. IEMs may constitute a significant portion of pediatric NDKA. Increased awareness of this unfamiliar condition is important for prompt diagnosis, timely management, and better outcome.
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Affiliation(s)
- Elsayed Abdelkreem
- Department of Pediatrics, Faculty of Medicine, Sohag University, Sohag 82524, Egypt
| | - Rofaida M Magdy
- Department of Pediatrics, Faculty of Medicine, Sohag University, Sohag 82524, Egypt
| | - Abdelrahim A Sadek
- Department of Pediatrics, Faculty of Medicine, Sohag University, Sohag 82524, Egypt
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6
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Gancheva S, Caspari D, Bierwagen A, Jelenik T, Caprio S, Santoro N, Rothe M, Markgraf DF, Herebian D, Hwang JH, Öner-Sieben S, Mennenga J, Pacini G, Thimm E, Schlune A, Meissner T, Vom Dahl S, Klee D, Mayatepek E, Roden M, Ensenauer R. Cardiometabolic risk factor clustering in patients with deficient branched-chain amino acid catabolism: A case-control study. J Inherit Metab Dis 2020; 43:981-993. [PMID: 32118306 DOI: 10.1002/jimd.12231] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2019] [Revised: 02/20/2020] [Accepted: 02/21/2020] [Indexed: 12/15/2022]
Abstract
Classical organic acidemias (OAs) result from defective mitochondrial catabolism of branched-chain amino acids (BCAAs). Abnormal mitochondrial function relates to oxidative stress, ectopic lipids and insulin resistance (IR). We investigated whether genetically impaired function of mitochondrial BCAA catabolism associates with cardiometabolic risk factors, altered liver and muscle energy metabolism, and IR. In this case-control study, 31 children and young adults with propionic acidemia (PA), methylmalonic acidemia (MMA) or isovaleric acidemia (IVA) were compared with 30 healthy young humans using comprehensive metabolic phenotyping including in vivo 31 P/1 H magnetic resonance spectroscopy of liver and skeletal muscle. Among all OAs, patients with PA exhibited abdominal adiposity, IR, fasting hyperglycaemia and hypertriglyceridemia as well as increased liver fat accumulation, despite dietary energy intake within recommendations for age and sex. In contrast, patients with MMA more frequently featured higher energy intake than recommended and had a different phenotype including hepatomegaly and mildly lower skeletal muscle ATP content. In skeletal muscle of patients with PA, slightly lower inorganic phosphate levels were found. However, hepatic ATP and inorganic phosphate concentrations were not different between all OA patients and controls. In patients with IVA, no abnormalities were detected. Impaired BCAA catabolism in PA, but not in MMA or IVA, was associated with a previously unrecognised, metabolic syndrome-like phenotype with abdominal adiposity potentially resulting from ectopic lipid storage. These findings suggest the need for early cardiometabolic risk factor screening in PA.
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Affiliation(s)
- Sofiya Gancheva
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany
| | - Daria Caspari
- Department of General Pediatrics, Neonatology, and Pediatric Cardiology, University Children's Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Alessandra Bierwagen
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany
| | - Tomas Jelenik
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany
| | - Sonia Caprio
- Department of Pediatrics, Magnetic Resonance Research Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Nicola Santoro
- Department of Pediatrics, Magnetic Resonance Research Center, Yale University School of Medicine, New Haven, Connecticut, USA
- Department of Medicine and Health Sciences, "V.Tiberio" University of Molise Via de Sanctis, Campobasso, Italy
| | - Maik Rothe
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany
| | - Daniel F Markgraf
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany
| | - Diran Herebian
- Department of General Pediatrics, Neonatology, and Pediatric Cardiology, University Children's Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jong-Hee Hwang
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany
| | - Soner Öner-Sieben
- Department of General Pediatrics, Neonatology, and Pediatric Cardiology, University Children's Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jasmin Mennenga
- Department of General Pediatrics, Neonatology, and Pediatric Cardiology, University Children's Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Giovanni Pacini
- Metabolic Unit, CNR Institute of Neuroscience, Padova, Italy
| | - Eva Thimm
- Department of General Pediatrics, Neonatology, and Pediatric Cardiology, University Children's Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Andrea Schlune
- Department of General Pediatrics, Neonatology, and Pediatric Cardiology, University Children's Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Thomas Meissner
- Department of General Pediatrics, Neonatology, and Pediatric Cardiology, University Children's Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stephan Vom Dahl
- Division of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Dirk Klee
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Ertan Mayatepek
- Department of General Pediatrics, Neonatology, and Pediatric Cardiology, University Children's Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Michael Roden
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany
| | - Regina Ensenauer
- Department of General Pediatrics, Neonatology, and Pediatric Cardiology, University Children's Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Child Nutrition, Max Rubner-Institut, Karlsruhe, Germany
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7
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AlOwain M, Khalifa OA, Al Sahlawi Z, Hussein MH, Sulaiman RA, Al-Sayed M, Rahbeeni Z, Al-Hassnan Z, Al-Zaidan H, Nezzar H, Al Homoud I, Eldali A, Altonen B, Handoom BS, Mbekeani JN. Optic neuropathy in classical methylmalonic acidemia. Ophthalmic Genet 2019; 40:313-322. [PMID: 31269850 DOI: 10.1080/13816810.2019.1634740] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Background: Classical MMA, caused by methylmalonyl-CoA mutase deficiency, may result in late-onset dysfunction in several organ systems. To date, 10 cases of optic neuropathy have been reported. The prevalence of optic neuropathy in visually asymptomatic patients has not been determined. This study sought to identify overt and subclinical optic neuropathy in a cohort with classical MMA. Methods and Materials: Neuroophthalmic examinations were performed on 21 patients identified with classical MMA, older than 10years. Diagnosis of optic neuropathy was determined by a combination of visual acuity, optic nerve appearance and electrodiagnostic tests. Tabulated data were analyzed for association of variables using SAS software. Significance was set at p < .05. Results: Two-thirds were Saudi nationals and one third, Syrian. Age range was 11-29years. Eleven (52.4%) patients had optic neuropathy. Nine (81.8%) of these were bilateral, seven (57.9% to 63.6%) reported decreased vision and four (33.1% to 36.4%) were asymptomatic. Two patients had catastrophic vision loss, following acute metabolic crises. Sixteen patients had chronic renal impairment while three had renal hypertension. Seventeen patients had short stature and eight, chronic pancreatitis. Methylmalonic acid levels ranged from 82 to 3,324µmol/L (Normal<1µmol/L). There was a significant association between optic neuropathy and female gender (p = .011) and none with age, nationality, renal impairment, pancreatitis or specific genotype. Conclusion: Optic neuropathy was a frequent finding in classical MMA. It was often bilateral and some cases were sub-clinical, lacking visual symptoms. These findings have important management implications. Full ophthalmic evaluations should be performed early and regularly in patients with MMA, even when patients are asymptomatic.
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Affiliation(s)
- Mohammed AlOwain
- Department of Medical Genetics, King Faisal Specialist Hospital and Research Centre , Riyadh , Saudi Arabia.,College of Medicine, Alfaisal University , Riyadh , Saudi Arabia
| | - Ola Ali Khalifa
- Genetics Unit, Pediatrics Department, Ain Shams University , Cairo , Egypt
| | - Zahra Al Sahlawi
- Department of Pediatrics and Metabolic/Genetic Diseases, Salmaniya Medical Complex , Manama , Kingdom of Bahrain
| | - Maged H Hussein
- Department of Medicine, King Faisal Specialist Hospital and Research Center , Riyadh , Saudi Arabia
| | - Raashda A Sulaiman
- Department of Medical Genetics, King Faisal Specialist Hospital and Research Centre , Riyadh , Saudi Arabia.,College of Medicine, Alfaisal University , Riyadh , Saudi Arabia
| | - Moeen Al-Sayed
- Department of Medical Genetics, King Faisal Specialist Hospital and Research Centre , Riyadh , Saudi Arabia.,College of Medicine, Alfaisal University , Riyadh , Saudi Arabia
| | - Zuhair Rahbeeni
- Department of Medical Genetics, King Faisal Specialist Hospital and Research Centre , Riyadh , Saudi Arabia.,College of Medicine, Alfaisal University , Riyadh , Saudi Arabia
| | - Zuhair Al-Hassnan
- Department of Medical Genetics, King Faisal Specialist Hospital and Research Centre , Riyadh , Saudi Arabia.,College of Medicine, Alfaisal University , Riyadh , Saudi Arabia
| | - Hamad Al-Zaidan
- Department of Medical Genetics, King Faisal Specialist Hospital and Research Centre , Riyadh , Saudi Arabia.,College of Medicine, Alfaisal University , Riyadh , Saudi Arabia
| | - Hachemi Nezzar
- Image-Guided Clinical Neurosciences and Connectomics (IGCNC), Université d'Auvergne , Clermont-Ferrand , France.,Department of Ophthalmology, Dubai Hospital , Dubai , United Arab Emirates
| | - Iftetah Al Homoud
- Department of Neurosciences, King Faisal Specialist Hospital and Research Centre , Riyadh , Saudi Arabia
| | - Abdelmoneim Eldali
- Department of Biostatistics, Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Centre , Riyadh , Saudi Arabia
| | - Brian Altonen
- Department of Biostatistics, Research Administration, Health & Hospitals Corporation , New York , NY , USA
| | - Bedour S Handoom
- Department of Nutrition Services, King Faisal Specialist Hospital and Research Centre , Riyadh , Saudi Arabia
| | - Joyce N Mbekeani
- Department of Surgery (Ophthalmology), Jacobi Medical Centre , Bronx , NY , USA.,Department of Ophthalmology & Visual Sciences, Albert Einstein College of Medicine , Bronx , NY , USA
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8
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Alfadhel M, Babiker A. Inborn errors of metabolism associated with hyperglycaemic ketoacidosis and diabetes mellitus: narrative review. Sudan J Paediatr 2018; 18:10-23. [PMID: 30166758 DOI: 10.24911/sjp.2018.1.3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Inborn errors of metabolism (IEM) are heterogeneous group of disorders that might present in the clinics or emergency departments in different phenotypes, and one of these is a diabetes scenario. Diabetes is the most common endocrine disorder among children. The mechanism of how IEM could lead to diabetes is unclear; however, the postulated pathogenesis consists of three mechanisms: 1) accumulation of toxic substance in the gland, ruining structure and normal functionality, 2) disturbing energy availability required for hormone synthesis and 3) defect of complex molecules. The differential diagnosis of IEM associated with hyperglycaemic ketoacidosis and diabetes include: organic acidemias specifically propionic acidemia, methylmalonic acidemia, isovaleric acidemia, hereditary hemochromatosis, aceruloplasminemia, holocarboxylase synthetase deficiency, β-ketothiolase deficiency and finally, cystinosis, Rogers syndrome (thiamine-responsive megaloblastic anaemia) and congenital disorders of glycosylation type Ia. Clinical approach will help in ready diagnosis and treatment for IEM disorders in early detection of diabetes. In this review, we will discuss the differential diagnosis, clinical features and diagnostic approaches of IEM presenting as hyperglycaemic ketoacidosis and diabetes.
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Affiliation(s)
- Majid Alfadhel
- Genetics Division, Department of Paediatrics, King Abdullah Specialized Children's Hospital, Riyadh, Saudi Arabia.,King Abdullah International Medical Research Centre and King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard-Health Affairs, King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Amir Babiker
- King Abdullah International Medical Research Centre and King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard-Health Affairs, King Abdulaziz Medical City, Riyadh, Saudi Arabia.,Endocrinology Division, Department of Paediatrics, King Abdullah Specialized Children's Hospital, Riyadh, Saudi Arabia
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9
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Goetzman ES, Gong Z, Schiff M, Wang Y, Muzumdar RH. Metabolic pathways at the crossroads of diabetes and inborn errors. J Inherit Metab Dis 2018; 41:5-17. [PMID: 28952033 PMCID: PMC6757345 DOI: 10.1007/s10545-017-0091-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 08/30/2017] [Accepted: 09/08/2017] [Indexed: 12/18/2022]
Abstract
Research over the past two decades has led to advances in our understanding of the genetic and metabolic factors that underlie the pathogenesis of type 2 diabetes mellitus (T2DM). While T2DM is defined by its hallmark metabolic symptoms, the genetic risk factors for T2DM are more immune-related than metabolism-related, and the observed metabolic disease may be secondary to chronic inflammation. Regardless, these metabolic changes are not benign, as the accumulation of some metabolic intermediates serves to further drive the inflammation and cell stress, eventually leading to insulin resistance and ultimately to T2DM. Because many of the biochemical changes observed in the pre-diabetic state (i.e., ectopic lipid storage, increased acylcarnitines, increased branched-chain amino acids) are also observed in patients with rare inborn errors of fatty acid and amino acid metabolism, an interesting question is raised regarding whether isolated metabolic gene defects can confer an increased risk for T2DM. In this review, we attempt to address this question by summarizing the literature regarding the metabolic pathways at the crossroads of diabetes and inborn errors of metabolism. Studies using cell culture and animal models have revealed that, within a given pathway, disrupting some genes can lead to insulin resistance while for others there may be no effect or even improved insulin sensitivity. This differential response to ablating a single metabolic gene appears to be dependent upon the specific metabolic intermediates that accumulate and whether these intermediates subsequently activate inflammatory pathways. This highlights the need for future studies to determine whether certain inborn errors may confer increased risk for diabetes as the patients age.
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Affiliation(s)
- Eric S Goetzman
- Department of Pediatrics, School of Medicine, University of Pittsburgh, 4401 Penn Ave, Pittsburgh, PA, 15224, USA.
- Children's Hospital of Pittsburgh, Rangos 5117, 4401 Penn Avenue, Pittsburgh, PA, 15224, USA.
| | - Zhenwei Gong
- Department of Pediatrics, School of Medicine, University of Pittsburgh, 4401 Penn Ave, Pittsburgh, PA, 15224, USA
| | - Manuel Schiff
- UMR1141, PROTECT, INSERM, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
- Reference Center for Inborn Errors of Metabolism, Robert Debré University Hospital, APHP, Paris, France
| | - Yan Wang
- Department of Pediatrics, School of Medicine, University of Pittsburgh, 4401 Penn Ave, Pittsburgh, PA, 15224, USA
| | - Radhika H Muzumdar
- Department of Pediatrics, School of Medicine, University of Pittsburgh, 4401 Penn Ave, Pittsburgh, PA, 15224, USA
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Chen M, Zhuang J, Yang J, Wang D, Yang Q. Atypical hemolytic uremic syndrome induced by CblC subtype of methylmalonic academia: A case report and literature review. Medicine (Baltimore) 2017; 96:e8284. [PMID: 29068997 PMCID: PMC5671830 DOI: 10.1097/md.0000000000008284] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
RATIONALE Methylmalonic acidemia (MMA) is a common organic acidemia, mainly due to methylmalonyl-CoA mutase (MCM) or its coenzyme cobalamin (VitB12) metabolic disorders. Cobalamin C (CblC) type is the most frequent inborn error of cobalamin metabolism; it can develop symptoms in childhood and often combine multisystem damage, which leads to methylmalonic acid, propionic acid, methyl citrate, and other metabolites abnormal accumulation, causing nerve, liver, kidney, bone marrow, and other organ damage. PATIENT CONCERNS A 4-year-old girl presented with paleness, fatigue, severe normochromic anemia, and acute kidney injury. DIAGNOSIS Based on severe normochromic anemia and acute kidney injury, renal biopsy showed membranous proliferative glomerular lesions and thrombotic microvascular disease, supporting the diagnosis of aHUS. Although the serum vitamin B12 was normal, further investigation found the concentration of urinary methylmalonic acid and serum homocysteine increased obviously, genetic analysis revealed a heterozygous MMACHC mutation (exonl: c. 80A >G, c. 609G >A). The final diagnosis was aHUS induced by inherited methylmalonic acidemia (MMACHC heterozygous mutation exonl: c. 80A >G, c. 609G >A). INTERVENTIONS The patient was treated with a 1mg vitamin B12 intramuscular injection daily for 4 days after which the dose was then adjusted to a 1mg intramuscular injection twice a week. At the same time, the girl was given levocarnitine, betaine, folic acid, along with supportive treatment. OUTCOMES After treated by vitamin B12 for 10 days, the patient condition significantly improved, Follow-up results showed complete recovery of hemoglobin and renal function. LESSONS Although the majority of MMA onset from neurological damage, our case illustrates that partial CblC-type MMA can onset with severe metabolic aHUS. On the basis of chronic thrombotic microangiopathy (TMA)-induced renal damage, it can be complicated by acute hemolytic lesions. MMA should be considered in those patients with unclear microangiopathic hemolytic anemia accompany significant megaloblastic degeneration in bone marrow. We should pay attention to the causes and adopt a reasonable treatment strategy.
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