Impact of enteral arginine supplementation on lysine metabolism in humans: A proof‐of‐concept for lysine‐related inborn errors of metabolism

2020 ◽  
Vol 43 (5) ◽  
pp. 952-959 ◽  
Author(s):  
Zoe Schmidt ◽  
Gayathri Murthy ◽  
Madeleine Ennis ◽  
Sylvia Stockler‐Ipsiroglu ◽  
Rajavel Elango
Keyword(s):  
Inborn Errors Of Metabolism ◽  
Proof Of Concept ◽  
Inborn Errors ◽  
Arginine Supplementation ◽  
Lysine Metabolism

scholarly journals Using Out-of-Batch Reference Populations to Improve Untargeted Metabolomics for Screening Inborn Errors of Metabolism

Metabolites ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 8
Author(s):  
Michiel Bongaerts ◽  
Ramon Bonte ◽  
Serwet Demirdas ◽  
Edwin H. Jacobs ◽  
Esmee Oussoren ◽  
...  
Keyword(s):  
Regression Model ◽  
Inborn Errors Of Metabolism ◽  
Untargeted Metabolomics ◽  
Detection Accuracy ◽  
Inborn Errors ◽  
Mixed Effect ◽  
Metabolomics Data ◽  
Normalization Methods ◽  
Metabolite Concentrations ◽  
Reference Samples

Untargeted metabolomics is an emerging technology in the laboratory diagnosis of inborn errors of metabolism (IEM). Analysis of a large number of reference samples is crucial for correcting variations in metabolite concentrations that result from factors, such as diet, age, and gender in order to judge whether metabolite levels are abnormal. However, a large number of reference samples requires the use of out-of-batch samples, which is hampered by the semi-quantitative nature of untargeted metabolomics data, i.e., technical variations between batches. Methods to merge and accurately normalize data from multiple batches are urgently needed. Based on six metrics, we compared the existing normalization methods on their ability to reduce the batch effects from nine independently processed batches. Many of those showed marginal performances, which motivated us to develop Metchalizer, a normalization method that uses 10 stable isotope-labeled internal standards and a mixed effect model. In addition, we propose a regression model with age and sex as covariates fitted on reference samples that were obtained from all nine batches. Metchalizer applied on log-transformed data showed the most promising performance on batch effect removal, as well as in the detection of 195 known biomarkers across 49 IEM patient samples and performed at least similar to an approach utilizing 15 within-batch reference samples. Furthermore, our regression model indicates that 6.5–37% of the considered features showed significant age-dependent variations. Our comprehensive comparison of normalization methods showed that our Log-Metchalizer approach enables the use out-of-batch reference samples to establish clinically-relevant reference values for metabolite concentrations. These findings open the possibilities to use large scale out-of-batch reference samples in a clinical setting, increasing the throughput and detection accuracy.

scholarly journals Spectrum analysis of inborn errors of metabolism for expanded newborn screening in a northwestern Chinese population

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ruixue Zhang ◽  
Rong Qiang ◽  
Chengrong Song ◽  
Xiaoping Ma ◽  
Yan Zhang ◽  
...  
Keyword(s):  
Newborn Screening ◽  
Inborn Errors Of Metabolism ◽  
Northwest China ◽  
Methylmalonic Acidemia ◽  
Shaanxi Province ◽  
Inborn Errors ◽  
Organic Acidurias ◽  
Genetic Characteristics ◽  
Disease Spectrum ◽  
Expanded Newborn Screening

AbstractExpanded newborn screening facilitates early identification and intervention of patients with inborn errors of metabolism (IEMs), There is a lack of disease spectrum data for many areas in China. To determine the disease spectrum and genetic characteristics of IEMs in Xi'an city of Shaanxi province in northwest China, 146152 newborns were screening by MSMS from January 2014 to December 2019 and 61 patients were referred to genetic analysis by next generation sequencing (NGS) and validated by Sanger sequencing. Seventy-five newborns and two mothers were diagnosed with IEMs, with an overall incidence of 1:1898 (1:1949 without mothers). There were 35 newborns with amino acidemias (45.45%, 1:4176), 28 newborns with organic acidurias (36.36%, 1:5220), and 12 newborns and two mothers with FAO disorders (18.18%; 1:10439 or 1:12179 without mothers). Phenylketonuria and methylmalonic acidemia were the two most common disorders, accounting for 65.33% (49/75) of all confirmed newborn. Some hotspot mutations were observed for several IEMs, including PAH gene c.728G>A for phenylketonuria; MMACHC gene c.609G>A and c.567dupT, MMUT gene c.323G>A for methylmalonic acidemia and SLC25A13 gene c.852_855del for citrin deficiency. Our study provides effective clinical guidance for the popularization and application of expanded newborn screening, genetic screening, and genetic counseling of IEMs in this region.

scholarly journals Liver transplantation in children with inborn errors of metabolism: 30 years experience in NSW , Australia

JIMD Reports ◽  
2021 ◽  
Author(s):  
Noha Elserafy ◽  
Sue Thompson ◽  
Troy Dalkeith ◽  
Michael Stormon ◽  
Gordon Thomas ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Inborn Errors Of Metabolism ◽  
Inborn Errors

scholarly journals Rare genetic variants affecting urine metabolite levels link population variation to inborn errors of metabolism

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Yurong Cheng ◽  
◽  
Pascal Schlosser ◽  
Johannes Hertel ◽  
Peggy Sekula ◽  
...  
Keyword(s):  
Genetic Variants ◽  
Inborn Errors Of Metabolism ◽  
Cell Types ◽  
Population Variation ◽  
Whole Body ◽  
Sequencing Data ◽  
Inborn Errors ◽  
Data Links ◽  
Liver And Kidney ◽  
Constraint Based Modeling

AbstractMetabolite levels in urine may provide insights into genetic mechanisms shaping their related pathways. We therefore investigate the cumulative contribution of rare, exonic genetic variants on urine levels of 1487 metabolites and 53,714 metabolite ratios among 4864 GCKD study participants. Here we report the detection of 128 significant associations involving 30 unique genes, 16 of which are known to underlie inborn errors of metabolism. The 30 genes are strongly enriched for shared expression in liver and kidney (odds ratio = 65, p-FDR = 3e−7), with hepatocytes and proximal tubule cells as driving cell types. Use of UK Biobank whole-exome sequencing data links genes to diseases connected to the identified metabolites. In silico constraint-based modeling of gene knockouts in a virtual whole-body, organ-resolved metabolic human correctly predicts the observed direction of metabolite changes, highlighting the potential of linking population genetics to modeling. Our study implicates candidate variants and genes for inborn errors of metabolism.

Health Status of French Young Patients with Inborn Errors of Metabolism with Lifelong Restricted Diet

2020 ◽  
Vol 220 ◽  
pp. 184-192.e6
Author(s):  
Aline Cano ◽  
Noemie Resseguier ◽  
Abdoulaye Ouattara ◽  
Pascale De Lonlay ◽  
Jean-Baptiste Arnoux ◽  
...  
Keyword(s):  
Health Status ◽  
Inborn Errors Of Metabolism ◽  
Young Patients ◽  
Restricted Diet ◽  
Inborn Errors
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