Screening of 1.17 million newborns for inborn errors of metabolism using tandem mass spectrometry in Shanghai, China: A 19-year report.

BACKGROUND: Inborn errors of metabolism (IEMs) frequently result in progressive and irreversible clinical consequences if not be diagnosed or treated timely. The tandem mass spectrometry (MS/MS)-based newborn screening (NBS) facilitates early diagnosis and treatment of IEMs. The aim of this study was to determine the characteristics of IEMs and the successful deployment and application of MS/MS screening over a 19-year time period in Shanghai, China, to inform national NBS policy. METHODS: The amino acids and acylcarnitines in dried blood spots from 1,176,073 newborns were assessed for IEMs by MS/MS. The diagnosis of IEMs was made through a comprehensive consideration of clinical features, biochemical performance and genetic testing results. The levels of MS/MS testing parameters were compared between various IEM subtypes and genotypes. RESULTS: A total of 392 newborns were diagnosed with IEMs from January 2003 to June 2022. There were 196 newborns with amino acid disorders (50.00%, 1: 5910), 115 newborns with organic acid disorders (29.59%, 1: 10,139), and 81 newborns with fatty acid oxidation disorders (20.41%; 1:14,701). Phenylalanine hydroxylase deficiency, methylmalonic acidemia and primary carnitine deficiency were the three most common disorders. Some hotspot variations in eight IEM genes (PAH, SLC22A5, MMACHC, MMUT, MAT1A, MCCC2, ACADM, ACAD8), 35 novel variants and some genotype-biochemical phenotype associations were identified. CONCLUSIONS: A total of 28 types of IEMs were identified, with an overall incidence of 1: 3000 in Shanghai, China. Our study offered clinical guidance for the implementation of MS/MS-based NBS and genetic counseling for IEMs in this city.

Incidence of Inborn Errors of Metabolism in Newborn Infants: Five Years' Single-Center Experience, Jeddah, Saudi Arabia.

Inborn errors of metabolism (IEMs) are inherited biochemical/metabolic disorders that are commonly present in the immediate neonatal period. The aim of this retrospective study was to determine the incidence and distribution of IEMs in newborn infants delivered in our hospital and to evaluate its outcome. A total of 16 494 (99.9%) newborn infants were screened for IEMs. We found 29 newborn infants diagnosed with IEMs, representing an incidence of 1 per ~569 live births and a cumulative incidence of 176 per 100 000 live births of the IEM-positive newborn infants. We detected 11 different types of IEMs, and the top 6 categories were endocrinopathies followed by carbohydrates disorders, vitamin-responsive disorders, organic acid defects, and ketogenesis and ketolysis defects. This study does reflect upon the importance of educating the general population about the perils of Consanguineous Marriages (CMs) in order to reduce related disorders significantly, especially in families who have a history of IEMs.

Collaborative evaluation study on 18 candidate diseases for newborn screening in 1.77 million samples.

Analytical and therapeutic innovations led to a continuous but variable extension of newborn screening (NBS) programmes worldwide. Every extension requires a careful evaluation of feasibility, diagnostic (process) quality and possible health benefits to balance benefits and limitations. The aim of this study was to evaluate the suitability of 18 candidate diseases for inclusion in NBS programmes. Utilising tandem mass spectrometry as well as establishing specific diagnostic pathways with second-tier analyses, three German NBS centres designed and conducted an evaluation study for 18 candidate diseases, all of them inherited metabolic diseases. In total, 1 777 264 NBS samples were analysed. Overall, 441 positive NBS results were reported resulting in 68 confirmed diagnoses, 373 false-positive cases and an estimated cumulative prevalence of approximately 1 in 26 000 newborns. The positive predictive value ranged from 0.07 (carnitine transporter defect) to 0.67 (HMG-CoA lyase deficiency). Three individuals were missed and 14 individuals (21%) developed symptoms before the positive NBS results were reported. The majority of tested candidate diseases were found to be suitable for inclusion in NBS programmes, while multiple acyl-CoA dehydrogenase deficiency, isolated methylmalonic acidurias, propionic acidemia and malonyl-CoA decarboxylase deficiency showed some and carnitine transporter defect significant limitations. Evaluation studies are an important tool to assess the potential benefits and limitations of expanding NBS programmes to new diseases.

Incidence and genetic variants of inborn errors of metabolism identified through newborn screening: A 7-year study in eastern coastal areas of China.

BACKGROUND: The incidence of inborn errors of metabolism (IEM) varies across countries and areas. Currently, there are no studies on IEM using newborn screening (NBS) in eastern coastal areas of China. We aimed to estimate the incidence and genetic variants of IEM and understand the spectrum of diseases caused by IEM and variants among them in this area. METHODS: The NBS performed by tandem mass spectrometry (MS/MS) from 2016 to 2021 was retrospectively reviewed. Heel blood was collected from all newborns 72 h after birth. Targeted massively parallel sequencing was performed for genetic analysis. RESULTS: Among 245,194 newborns, 95 were diagnosed with IEM, the overall incidence observed was-IEM: 1/2581; amino acid metabolism disorder: 1/4715; organic acid metabolism disorder: 1/11676; and fatty acid metabolism disorder: 1/11145. The incidence of different IEM was in the range of 1/245194 to 1/6452. Phenylketonuria (PKU, 1/7211) was the most common IEM, followed by methylmalonic acidemia (MMA, 1/27244), short-chain acyl-CoA dehydrogenase deficiency (SCADD, 1/30649), and citrin deficiency (CD, 1/35028). For genetic variants, the common hotspot variants found were-PAH gene for PKU: c.728G > A, c.442-1G > A, c.611A > G, c.721C > T; PTS gene for non-classical PKU: c.259C > T; MMACHC gene for MMA: c.658_660delAAG, c.609G > A; MMUT gene for MMA: c.1663G > A; ACADS gene for SCADD: c.1031A > G and c.1130C > T; and SLC25A13 gene for CD: c.1638_1660dup, c.852_855del. CONCLUSION: This study displayed the diseases and varied spectrum of IEM in eastern coastal areas of China. Implementing NBS for IEM by MS/MS combined with massively parallel sequencing can offer an improved plan for NBS to detect IEM.

Metabolic diversity in human populations and correlation with genetic and ancestral geographic distances.

DNA polymorphic markers and self-defined ethnicity groupings are used to group individuals with shared ancient geographic ancestry. Here we studied whether ancestral relationships between individuals could be identified from metabolic screening data reported by the California newborn screening (NBS) program. NBS data includes 41 blood metabolites measured by tandem mass spectrometry from singleton babies in 17 parent-reported ethnicity groupings. Ethnicity-associated differences identified for 71% of NBS metabolites (29 of 41, Cohen's d > 0.5) showed larger differences in blood levels of acylcarnitines than of amino acids (P < 1e-4). A metabolic distance measure, developed to compare ethnic groupings based on metabolic differences, showed low positive correlation with genetic and ancient geographic distances between the groups' ancestral world populations. Several outlier group pairs were identified with larger genetic and smaller metabolic distances (Black versus White) or with smaller genetic and larger metabolic distances (Chinese versus Japanese) indicating the influence of genetic and of environmental factors on metabolism. Using machine learning, comparison of metabolic profiles between all pairs of ethnic groupings distinguished individuals with larger genetic distance (Black versus Chinese, AUC = 0.96), while genetically more similar individuals could not be separated metabolically (Hispanic versus Native American, AUC = 0.51). Additionally, we identified metabolites informative for inferring metabolic ancestry in individuals from genetically similar populations, which included biomarkers for inborn metabolic disorders (C10:1, C12:1, C3, C5OH, Leucine-Isoleucine). This work sheds new light on metabolic differences in healthy newborns in diverse populations, which could have implications for improving genetic disease screening.

Evaluation of clinical and electroencephalographic findings in patients with early childhood epilepsy and inborn errors of metabolism.

INTRODUCTION: Epilepsy is one of the leading chronic diseases of childhood, and an underlying IEM is an etiology that can easily be overlooked. The aim of this study was to determine the frequency of metabolic disease in patients diagnosed with epilepsy in the first two years of life, as well as to determine the clinical, radiological, and electroencephalographic (EEG) characteristics of the metabolic disease subtypes associated with epilepsy and evaluate treatment response in our study. MATERIALS AND METHODS: The records of patients diagnosed with epilepsy before the age of 2 years in our pediatric neurology clinic between 2014 and 2021 were reviewed retrospectively. Those diagnosed with an IEM and followed up in the pediatric neurology and pediatric metabolism departments of our hospital were included in the study. RESULTS: A total of 990 patients under the age of 2 years were diagnosed with epilepsy in the pediatric neurology clinic of our hospital and 74 (7.5%) of them had IEM. Thirty-nine (52.7%) of the 74 patients were female. The median age at admission was 144 days (min-max: 0-284). Of the 74 patients diagnosed with metabolic epilepsy, 38 patients were diagnosed with amino acid metabolism disorder, 17 with lysosomal storage disease, 9 with energy metabolism disorder, 5 with vitamin/cofactor/trace element metabolism disorders, 2 with fatty acid metabolism disorder, 2 with peroxisomal disease, and 1 with carbohydrate metabolism disorder. Epilepsy was refractory despite appropriate treatment in 39 patients (52.7%). CONCLUSION: Inborn errors of metabolism are a rare cause of epilepsy, in regions like our country with high rates of consanguineous marriage, IEM should be considered in patients presenting with seizures that do not respond to conventional antiepileptic treatments.

Biochemical testing for inborn errors of metabolism: experience from a large tertiary neonatal centre.

Inborn errors of metabolism are an individually rare but collectively significant cause of mortality and morbidity in the neonatal period. They are identified by either newborn screening programmes or clinician-initiated targeted biochemical screening. This study examines the relative contribution of these two methods to the identification of inborn errors of metabolism and describes the incidence of these conditions in a large, tertiary, neonatal unit. We also examined which factors could impact the reliability of metabolic testing in this cohort. This is a retrospective, single-site study examining infants in whom a targeted metabolic investigation was performed from January 2018 to December 2020 inclusive. Data was also provided by the national newborn screening laboratory regarding newborn screening diagnoses. Two hundred and four newborns received a clinician-initiated metabolic screen during the time period examined with 5 newborns being diagnosed with an inborn error of metabolism (IEM) (2.4%). Of the 25,240 infants born in the hospital during the period examined, a further 11 newborns had an inborn error of metabolism diagnosed on newborn screening. This produced an incidence in our unit over the time described of 6.34 per 10,000 births. This number reflects a minimum estimate, given that the conditions diagnosed refer to early-onset disorders and distinctive categories of IEM only. Efficiency of the clinician-initiated metabolic screening process was also examined. The only statistically significant variable in requiring repeat metabolic screening was early day of life (z-score = - 2.58, p = 0.0098). A total of 28.4% was missing one of three key metabolic investigation parameters of blood glucose, ammonia or lactate concentration with ammonia the most common investigation missing. While hypoglycemia was the most common clinical rationale for a clinician-initiated metabolic test, it was a poor predictor of inborn error of metabolism with no newborns of 25 screened were diagnosed with a metabolic disorder. CONCLUSION: Clinician-targeted metabolic screening had a high diagnostic yield given the relatively low prevalence of inborn errors of metabolism in the general population. Thoughts should be given to the rationale behind each targeted metabolic test and what specific metabolic disease or category of inborn error of metabolism they are concerned along with commencing targeted testing. WHAT IS KNOWN: • Inborn errors of metabolism are a rare but potentially treatable cause of newborn mortality and morbidity. • A previous study conducted in a tertiary unit in an area with limited newborn screening demonstrated a diagnostic yield of 5.4%. WHAT IS NEW: • Clinician-initiated targeted metabolic screening has a good diagnostic performance even with a more expanded newborn screening programme. • Further optimisation could be achieved by examining the best timing and also the rationale of metabolic testing in the newborn period.

Reproductive genetic carrier screening and inborn errors of metabolism: The voice of the inborn errors of metabolism community needs to be heard.

Reproductive genetic carrier screening (RGCS) has a history spanning more than 50 years, but for most of that time has been limited to screening for one or a few conditions in targeted population groups. The advent of massively parallel sequencing has led to rapid growth in screening for panels of up to hundreds of genes. Such panels typically include numerous genes associated with inborn errors of metabolism (IEM). There are considerable potential benefits for families from screening, but there are also risks and potential pitfalls. The IEM community has a vital role to play in guiding gene selection and assisting with the complexities that arise from screening, including interpreting complex biochemical assays and counselling at-risk couples about phenotypes and treatments.

Cut-off values in newborn screening for inborn errors of metabolism in Saudi Arabia.

BACKGROUND: Newborn screening identifies individuals affected by a specific disorder within an apparently healthy population prior to the appearance of symptoms so that appropriate interventions can be initiated in time to minimize the harmful effects. Data on population based cut-off values, disease ranges for true positive cases, false positive rates, true positive rates, cut-off verification and comparisons with international cut-off ranges have not been done for Saudi Arabia. OBJECTIVE: Establish population-based cut-off values and analyte ratios for newborn screening assays and clinically validate the values. DESIGN: Population-based screening. SETTING: Tertiary care hospitals and laboratories. METHODS: After method verification, initial cut-off values were established by analyzing 400-500 dry blood spot (DBS) samples which were further evaluated after one year. About 74 000 patient results were reviewed to establish cut-off ranges from DBS samples received from five different hospitals during 2013-2020. Analysis was performed by tandem mass spectrometry (TMS) and a genetic screening processor. Confirmation of initial positive newborn screening results for different analytes were carried out using gas chromatography-mass spectrometry, high performance liquid chromatography and TMS. MAIN OUTCOME MEASURES: Cut-off values, ratios, positive predictive values, false positive rate, true positive rate and disease range. SAMPLE SIZE: 74 000 samples. RESULTS: Population based cut-off values were calculated at different percentiles. These values were compared with 156 true positive samples and 80 proficiency samples. The false positive rate was less than 0.04 for all the analytes, except for valine, leucine, isovalerylcarnitine (C5), biotinidase (BTD), 17-hydroxyprogesterone and thyroid stimulating hormone. The highest false positive rate was 0.14 for BTD which was due to pre-analytical errors. The analytical positive predictive values were greater than 80% throughout the eight years. CONCLUSION: We have established clinical disease ranges for most of the analytes tested in our lab and several ratios which gives excellent screening specificity and sensitivity for early detection. The samples were representative of the local populations. LIMITATIONS: Need for wider, population-based studies. CONFLICT OF INTEREST: None.

Clinical and Genetic Spectrum of 50 Children with Inborn Errors of Metabolism from Central India.

This is a single-center, retrospective analysis of children confirmed to have an inborn error of metabolism in the pediatric department of a teaching hospital in central India. Patients were categorized as acute encephalopathy, developmental delay/seizures, and neuroregression or organomegaly depending on their predominant phenotype. Of the 50 patients analyzed, the commonest group was lysosomal storage disorders in 13 (26%), followed by organic acidurias - 8 (16%), mitochondrial disorders - 5 (10%), urea cycle disorders, carbohydrate metabolism disorders, and amino acidopathies - 4 (8%) each, fatty acid oxidation defects and neurotransmitter deficiency disorders - 3 (6%) each, and miscellaneous (8%). Genetic variations were identified in 25 (50%). Acylcarnitine profiles and urine organic acids were diagnostic in 62.5% of children presenting as acute encephalopathy, exome sequencing in 55.5% of children with neuroregression, and specific enzyme assay in 83.3% of children with predominant organomegaly (83.3%). Children with developmental delay/seizures needed a wider range of tests.

Selective screening for inborn errors of metabolism by tandem mass spectrometry at Sohag University Hospital, Egypt.

BACKGROUND: Inborn errors of metabolism (IEMs) comprise a group of inherited diseases that can have devastating consequences and cause irreversible damage to different body systems and even lead to death. Newborn screening helps in the presymptomatic diagnosis of many medical disorders including IEMs. Early diagnosis and management of IEMs helps reduce morbidity and mortality. OBJECTIVE: This study aimed to estimate the prevalence of IEMs among at-risk children and contribute toward early diagnosis and management in order to minimize morbidity and mortality. METHODS: This prospective study was conducted at the Pediatrics and Neonatology Department, Sohag University Hospital, Egypt. The study enrolled 308 participants suspected of having IEMs. Cases were included based on the presence of any of the following: unexplained convulsions, persistent metabolic acidosis, persistent hypoglycemia, disturbed consciousness, delayed milestones, or family history of previous sibling death with IEMs or sibling death with a history suggestive of IEMs. All participants in the study were subjected to metabolic screening by tandem mass spectrometry (MS/MS). RESULTS: Out of 308 neonates, 93 (30.2%) were diagnosed with IEMs. The most common diagnosis was phenylketonuria, followed by glutaric aciduria type 1 and maple syrup urine disease (43%, 19.4%, and 14%, respectively). Five patients had Canavan disease, four had medium-chain acyl CoA dehydrogenase deficiency, three had congenital lactic acidosis, two had methylmalonic acidemia, and two had primary carnitine deficiency. Propionic acidemia, isovaleric acidemia, homocystinuria, short-chain acyl CoA dehydrogenase deficiency, B-ketothiolase deficiency, and ketone body utilization defect were diagnosed in one patient each. Most patients improved (73.1%) following proper specific management. CONCLUSION: We recommend newborn screening for IEMs using MS/MS, which may help with the early diagnosis and management of this group of disorders.

Inborn errors of metabolism and coronavirus disease 2019: Evaluation of the metabolic outcome.

BACKGROUND: Infectious diseases can result in a catabolic state and possibly trigger an acute metabolic decompensation in inborn errors of metabolism (IEM), which could be life threatening. Studies regarding the course of severe acute respiratory syndrome coronavirus 2 infections in patients with IEM are generally limited to case reports. Here, we aimed to evaluate the clinical findings of coronavirus disease 2019 (COVID-19) and describe the impact of severe acute respiratory syndrome coronavirus 2 infections on metabolic outcomes in IEM patients. METHODS: Patients who were diagnosed with different types of IEM and developed microbiologically confirmed COVID-19 infection were included. Clinical findings and laboratory results were recorded retrospectively in terms of both IEM and COVID-19. RESULTS: Eleven patients with diagnosis of intoxication type metabolic disorders, five patients with energy metabolism disorders, and six patients with complex molecular disorders were enrolled. The most frequent clinical finding was fever (52.1%) followed by fatigue/myalgia (47.8%). None of the patients was younger than 1 year. None of the patients presented severe or critical disease. In terms of metabolic decompensation, two patients diagnosed with propionic acidemia, one patient with methylmalonic acidemia and one patient with 3-hydroxy-3-methylglutaryl-CoA lyase deficiency presented clinical and biochemical findings of an acute metabolic attack. CONCLUSIONS: Based on our results, IEM are not found to be an additional risk factor for severe COVID-19 infection. However, patients with intoxication type and energy metabolism disorders should be considered as a vulnerable population for COVID-19 and have a major risk of developing acute metabolic decompensation that can lead to life-threatening complications.

100 years of inherited metabolic disorders in Austria-A national registry of minimal birth prevalence, diagnosis, and clinical outcome of inborn errors of metabolism in Austria between 1921 and 2021.

Inherited metabolic disorders (IMDs) are a heterogeneous group of rare disorders characterized by disruption of metabolic pathways. To date, data on incidence and prevalence of IMDs are limited. Taking advantage of a functioning network within the Austrian metabolic group, our registry research aimed to update the data of the "Registry for Inherited Metabolic Disorders" started between 1985 and 1995 with retrospectively retrieved data on patients with IMDs according to the Society for the Study of Inborn Errors of Metabolism International Classification of Diseases 11 (SSIEM ICD11) catalogue. Included in this retrospective register were 2631 patients with an IMD according to the SSIEM ICD11 Classification, who were treated in Austria. Thus, a prevalence of 1.8/10 000 for 2020 and a median minimal birth prevalence of 16.9/100 000 (range 0.7/100 000-113/100 000) were calculated for the period 1921 to February 2021. We detected a male predominance (m:f = 1.2:1) and a mean age of currently alive patients of 17.6 years (range 5.16 months-100 years). Most common diagnoses were phenylketonuria (17.7%), classical galactosaemia (6.6%), and biotinidase deficiency (4.2%). The most common diagnosis categories were disorders of amino acid and peptide metabolism (819/2631; 31.1%), disorders of energy metabolism (396/2631; 15.1%), and lysosomal disorders (395/2631; 15.0%). In addition to its epidemiological relevance, the "Registry for Inherited Metabolic Disorders" is an important tool for enhancing an exchange between care providers. Moreover, by pooling expertise it prospectively improves patient treatment, similar to pediatric oncology protocols. A substantial requirement for ful filling this goal is to regularly update the registry and provide nationwide coverage with inclusion of all medical specialties.

[New Inborn Errors of Metabolism added in the French program of neonatal screening]. / Les nouvelles maladies héréditaires du métabolisme du programme français de dépistage néonatal.

Inborn Errors of Metabolism (IEM) are rare and heterogenous disorders. For most IEMs, clinical signs are non-specific or belated. Late diagnosis is frequent, leading to death or severe sequelae. Some IEM induce intermediate metabolites circulating in the blood. They may be detected by tandem mass spectrometry. This method allows the simultaneous detection of many IEM in different metabolic pathways. In France, newborn screening (NBS) program for IEM, limited to phenylketonuria for decades, has been recently extended to medium chain acyl-CoA dehydrogenase deficiency. Rationale, methodology and organization of this new NBS program are described. Seven other IEM (maple syrup urine disease, homocystinuria, tyrosinemia type I, glutaric aciduria type I, isovaleric acidemia, long chain hydroxy-acyl-CoA dehydrogenase deficiency, carnitine uptake disorder) should be screened in the next program extension. Efforts are needed to fully understand the predictive value of each abnormal testing at birth, decrease the false positive rate, and develop the adequate management strategies.

TITLE: Les nouvelles maladies héréditaires du métabolisme du programme français de dépistage néonatal. ABSTRACT: Les maladies héréditaires du métabolisme (MHM) sont un groupe de maladies rares et cliniquement hétérogènes. Le retard diagnostique est fréquent, conduisant souvent au décès du patient ou à de graves séquelles. Certaines MHM entraînent l'accumulation de métabolites intermédiaires circulant dans le sang, qui sont détectables par une méthode commune utilisant la spectrométrie de masse en tandem. Cette méthode permet la reconnaissance simultanée de plusieurs de ces maladies affectant différentes voies métaboliques. En France, le programme de dépistage néonatal (DNN) des MHM, longtemps limité à la phénylcétonurie, a récemment été étendu au déficit en déshydrogénase des acyl-CoA à chaîne moyenne (MCADD). Le rationnel, la méthode et l'organisation de ce nouveau DNN sont décrits dans cet article. Sept nouvelles MHM (leucinose, homocystinurie, tyrosinémie de type I, acidurie glutarique de type I, acidurie isovalérique, déficit en déshydrogénase des hydroxy-acyl-CoA à chaîne longue, déficit du transporteur de la carnitine) devraient être dépistées, grâce à une prochaine extension du programme de DNN. Des efforts sont nécessaires pour mieux comprendre et prévoir la signification de chaque test anormal à la naissance, diminuer les taux de faux positifs, et développer les stratégies de prise en charge adéquates.

Inflammatory Bowel Disease in Patients with Congenital Chloride Diarrhoea.

BACKGROUND: Congenital chloride diarrhoea [CLD] is a rare autosomal recessive disease caused by mutations in the solute family carrier 26 member 3 [SLC26A3] gene. Patients suffer from life-long watery diarrhoea and chloride loss. Inflammatory bowel disease [IBD] has been reported in individual patients with CLD and in scl26a3-deficient mice. METHODS: We performed an international multicentre analysis to build a CLD cohort and to identify cases with IBD. We assessed clinical and genetic characteristics of subjects and studied the cumulative incidence of CLD-associated IBD. RESULTS: In a cohort of 72 patients with CLD caused by 17 different SLC26A3 mutations, we identified 12 patients [17%] diagnosed with IBD. Nine patients had Crohn's disease, two ulcerative colitis and one IBD-unclassified [IBD-U]. The prevalence of IBD in our cohort of CLD was higher than the highest prevalence of IBD in Europe [p < 0.0001]. The age of onset was variable [13.5 years, interquartile range: 8.5-23.5 years]. Patients with CLD and IBD had lower z-score for height than those without IBD. Four of 12 patients had required surgery [ileostomy formation n = 2, ileocaecal resection due to ileocaecal valve stenosis n = 1 and colectomy due to stage II transverse colon cancer n = 1]. At last follow-up, 5/12 were on biologics [adalimumab, infliximab or vedolizumab], 5/12 on immunosuppressants [azathioprine or mercaptopurine], one on 5-ASA and one off-treatment. CONCLUSIONS: A substantial proportion of patients with CLD develop IBD. This suggests the potential involvement of SL26A3-mediated anion transport in IBD pathogenesis. Patients with CLD-associated IBD may require surgery for treatment failure or colon cancer.

METABOLIC CONTROL AND BODY COMPOSITION OF CHILDREN AND ADOLESCENTS WITH PHENYLKETONURIA.

OBJECTIVE: To characterize metabolic control and verify whether it has any relation with socioeconomic, demographic, and body composition variables in children and adolescents with phenylketonuria (PKU) diagnosed in the neonatal period. METHODS: This cohort study collected retrospective data of 53 phenylketonuric children and adolescents. Data on family income, housing, and mother's age and schooling level were collected, and anthropometric measures of body composition and distribution were taken. All dosages of phenylalanine (Phe) from the last five years (2015-2019) were evaluated and classified regarding their adequacy (cutoffs: 0-12 years: 2-6 mg/dL; 12-19 years: 2-10 mg/dL). Adequate metabolic control was considered if ≥7%) of the dosages were within desired ranges. RESULTS: The mean (±standard deviation) age in the last year was 10.1±4.6 years. Most of them were under 12 years old (33/53; 62.3%) and had the classic form of the disease (39/53; 73.6%). Better metabolic control was observed among adolescents (68.4 versus 51.4%; p=0.019). Overweight was found in 9/53 (17%) and higher serum Phe levels (p<0.001) were found in this group of patients. Metabolic control with 70% or more Phe level adequacy decreased along with the arm muscle area (AMA) (ptendency=0.042), being 70.0% among those with low reserve (low AMA), and 18.5% among those with excessive reserve (high AMA). CONCLUSIONS: Adequate metabolic control was observed in most patients. The findings suggest that, in this sample, the levels of phenylalanine may be related to changes in body composition.

Allele frequency of variants reported to cause adenine phosphoribosyltransferase deficiency.

Adenine phosphoribosyltransferase deficiency is a rare, autosomal recessive disorder of purine metabolism that causes nephrolithiasis and progressive chronic kidney disease. The small number of reported cases indicates an extremely low prevalence, although it has been suggested that missed diagnoses may play a role. We assessed the prevalence of APRT deficiency based on the frequency of causally-related APRT sequence variants in a diverse set of large genomic databases. A thorough search was carried out for all APRT variants that have been confirmed as pathogenic under recessive mode of inheritance, and the frequency of the identified variants examined in six population genomic databases: the deCODE genetics database, the UK Biobank, the 100,000 Genomes Project, the Genome Aggregation Database, the Human Genetic Variation Database and the Korean Variant Archive. The estimated frequency of homozygous genotypes was calculated using the Hardy-Weinberg equation. Sixty-two pathogenic APRT variants were identified, including six novel variants. Most common were the missense variants c.407T>C (p.(Met136Thr)) in Japan and c.194A>T (p.(Asp65Val)) in Iceland, as well as the splice-site variant c.400 + 2dup (p.(Ala108Glufs*3)) in the European population. Twenty-nine variants were detected in at least one of the six genomic databases. The highest cumulative minor allele frequency (cMAF) of pathogenic variants outside of Japan and Iceland was observed in the Irish population (0.2%), though no APRT deficiency cases have been reported in Ireland. The large number of cases in Japan and Iceland is consistent with a founder effect in these populations. There is no evidence for widespread underdiagnosis based on the current analysis.

Hypoadiponectinemia as a marker of increased cardiovascular risk in patients with non-alcoholic fatty liver disease: correlation with albumin/creatinine ratio

ABSTRACT Objective: We assessed plasma adiponectin and its correlation with carotid intima-media-thickness (CIMT), as a marker of atherosclerosis, and urine albumin/creatinine ratio (ACR) in patients with non-alcoholic fatty liver disease (NAFLD). Subjects and methods: The study included 100 Egyptian subjects (50 patients with NAFLD with no history of diabetes or hypertension and 50 age and sex-matched normal healthy control subjects). Urine albumin/creatinine ratio (ACR) was assessed in all participants and fasting plasma adiponectin was measured using ELISA technique. Ultrasonography was used to diagnose NAFLD. CIMT was assessed using high-resolution Doppler ultrasonography. Results: Mild albuminuria was detected in patients with NAFLD (mean urine ACR = 42 ± 30 mg/g). Plasma adiponectin was significantly lower and urine ACR and CIMT significantly higher in patients with NAFLD as compared with the control group (P < 0.001 for all). A significant negative correlation was found between plasma adiponectin and both urine ACR and CIMT in patients with NAFLD (P < 0.001 and < 0.05 respectively). A significant positive correlation was also found between CIMT and urine ACR in those patients (P < 0.05). Plasma adiponectin and urine ACR were independent determinants of CIMT in patients with NAFLD (P < 0.01 and < 0.05 respectively). Conclusion: Patients with NAFLD, without diabetes, have an increased risk of atherosclerosis and cardiovascular disease. Hypoadiponectinemia and low-grade albuminuria are important markers of that risk.

Cases of inborn errors of metabolism diagnosed in children with autism.

Background and purpose: Autism spectrum disorder is a neurodevelopmental disorder with a heterogeneous presentation, the etiology of which is not clearly elucidated. In recent years, comorbidity has become more evident with the increase in the frequency of autism and diagnostic possibilities of inborn errors of metabolism. Methods: One hundred and seventy-nine patients with diagnosis of autism spectrum disorder who presented to the Pediatric Metabolism outpatient clinic between 01/September/2018-29/February/2020 constituted the study population. The personal information, routine and specific metabolic tests of the patients were analyzed retrospectively. Results: Out of the 3261 patients who presented to our outpatient clinic, 179 (5.48%) were diagnosed with autism spectrum disorder and were included in the study. As a result of specific metabolic examinations performed, 6 (3.3%) patients were diagnosed with inborn errors of metabolism. Two of our patients were diagnosed with classical phenylketonuria, two with classical homocystinuria, one with mucopolysaccharidosis type 3D (Sanfilippo syndrome) and one with 3-methylchrotonyl Co-A carboxylase deficiency. Conclusion: Inborn errors of metabolism may rarely present with autism spectrum disorder symptoms. Careful evaluation of the history, physical examination and additional findings in patients diagnosed with autism spectrum disorder will guide the clinician in the decision-making process and chose the appropriate specific metabolic investigation. An underlying inborn errors of metabolism may be a treatable cause of autism.