32 research outputs found

    Mapping the functional landscape of frequent phenylalanine hydroxylase (PAH) genotypes promotes personalised medicine in phenylketonuria

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    Background: In phenylketonuria, genetic heterogeneity, frequent compound heterozygosity, and the lack of functional data for phenylalanine hydroxylase genotypes hamper reliable phenotype prediction and individualised treatment. Methods: A literature search revealed 690 different phenylalanine hydroxylase genotypes in 3066 phenylketonuria patients from Europe and the Middle East. We determined phenylalanine hydroxylase function of 30 frequent homozygous and compound heterozygous genotypes covering 55% of the study population, generated activity landscapes, and assessed the phenylalanine hydroxylase working range in the metabolic (phenylalanine) and therapeutic (tetrahydrobiopterin) space. Results: Shared patterns in genotype-specific functional landscapes were linked to biochemical and pharmacological phenotypes, where (1) residual activity below 3.5% was associated with classical phenylketonuria unresponsive to pharmacological treatment; (2) lack of defined peak activity induced loss of response to tetrahydrobiopterin; (3) a higher cofactor need was linked to inconsistent clinical phenotypes and low rates of tetrahydrobiopterin response; and (4) residual activity above 5%, a defined peak of activity, and a normal cofactor need were associated with pharmacologically treatable mild phenotypes. In addition, we provide a web application for retrieving country-specific information on genotypes and genotype-specific phenylalanine hydroxylase function that warrants continuous extension, updates, and research on demand. Conclusions: The combination of genotype-specific functional analyses with biochemical, clinical, and therapeutic data of individual patients may serve as a powerful tool to enable phenotype prediction and to establish personalised medicine strategies for dietary regimens and pharmacological treatment in phenylketonuria

    Mapping the functional landscape of frequent phenylalanine hydroxylase (PAH) genotypes promotes personalised medicine in phenylketonuria

    Get PDF
    Background: In phenylketonuria, genetic heterogeneity, frequent compound heterozygosity, and the lack of functional data for phenylalanine hydroxylase genotypes hamper reliable phenotype prediction and individualised treatment. Methods: A literature search revealed 690 different phenylalanine hydroxylase genotypes in 3066 phenylketonuria patients from Europe and the Middle East. We determined phenylalanine hydroxylase function of 30 frequent homozygous and compound heterozygous genotypes covering 55% of the study population, generated activity landscapes, and assessed the phenylalanine hydroxylase working range in the metabolic (phenylalanine) and therapeutic (tetrahydrobiopterin) space. Results: Shared patterns in genotype-specific functional landscapes were linked to biochemical and pharmacological phenotypes, where (1) residual activity below 3.5% was associated with classical phenylketonuria unresponsive to pharmacological treatment; (2) lack of defined peak activity induced loss of response to tetrahydrobiopterin; (3) a higher cofactor need was linked to inconsistent clinical phenotypes and low rates of tetrahydrobiopterin response; and (4) residual activity above 5%, a defined peak of activity, and a normal cofactor need were associated with pharmacologically treatable mild phenotypes. In addition, we provide a web application for retrieving country-specific information on genotypes and genotype-specific phenylalanine hydroxylase function that warrants continuous extension, updates, and research on demand. Conclusions: The combination of genotype-specific functional analyses with biochemical, clinical, and therapeutic data of individual patients may serve as a powerful tool to enable phenotype prediction and to establish personalised medicine strategies for dietary regimens and pharmacological treatment in phenylketonuria

    Bone mineral density is within normal range in most adult phenylketonuria patients

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    Low bone mineral density (BMD) as a risk factor for fractures has been a long-standing concern in phenylketonuria (PKU). It is hypothesised that the disease itself or the dietary treatment might lead to a low BMD. Previous studies show conflicting results of BMD in PKU due to differences in age, techniques to assess BMD and criteria used. To assess the prevalence of low BMD and define possible risk factors in a large number of adult, early treated PKU (ETPKU) patients. European centres were invited for a survey, collecting retrospective data including results of dual-energy X-ray absorptiometry (DXA) scans of adult ETPKU patients. BMD of 183 adult ETPKU patients aged 18-46 (median age 28, all females premenopausal) years was lower than in the general population at most skeletal sites but the frequency of low BMD (Z-score <−2) was at maximum 5.5%. No risk factors for low BMD in PKU patients could be identified. Low BMD occurs only in a small subset of PKU patients. DXA scans should be considered for well controlled patients from age 35-40 years and up and on indication in those PKU patients considered to be at increased risk for fractures

    Consensus guidelines for the diagnosis and management of pyridoxine-dependent epilepsy due to alpha-aminoadipic semialdehyde dehydrogenase deficiency

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    Pyridoxine-dependent epilepsy (PDE-ALDH7A1) is an autosomal recessive condition due to a deficiency of α-aminoadipic semialdehyde dehydrogenase, which is a key enzyme in lysine oxidation. PDE-ALDH7A1 is a developmental and epileptic encephalopathy that was historically and empirically treated with pharmacologic doses of pyridoxine. Despite adequate seizure control, most patients with PDE-ALDH7A1 were reported to have developmental delay and intellectual disability. To improve outcome, a lysine-restricted diet and competitive inhibition of lysine transport through the use of pharmacologic doses of arginine have been recommended as an adjunct therapy. These lysine-reduction therapies have resulted in improved biochemical parameters and cognitive development in many but not all patients. The goal of these consensus guidelines is to re-evaluate and update the two previously published recommendations for diagnosis, treatment, and follow-up of patients with PDE-ALDH7A1. Members of the International PDE Consortium initiated evidence and consensus-based process to review previous recommendations, new research findings, and relevant clinical aspects of PDE-ALDH7A1. The guideline development group included pediatric neurologists, biochemical geneticists, clinical geneticists, laboratory scientists, and metabolic dieticians representing 29 institutions from 16 countries. Consensus guidelines for the diagnosis and management of patients with PDE-ALDH7A1 are provided. This article is protected by copyright. All rights reserved

    The Genetic Landscape and Epidemiology of Phenylketonuria

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    Phenylketonuria (PKU), caused by variants in the phenylalanine hydroxylase (PAH) gene, is the most common autosomal-recessive Mendelian phenotype of amino acid metabolism. We estimated that globally 0.45 million individuals have PKU, with global prevalence 1:23,930 live births (range 1:4,500 [Italy]–1:125,000 [Japan]). Comparing genotypes and metabolic phenotypes from 16,092 affected subjects revealed differences in disease severity in 51 countries from 17 world regions, with the global phenotype distribution of 62% classic PKU, 22% mild PKU, and 16% mild hyperphenylalaninemia. A gradient in genotype and phenotype distribution exists across Europe, from classic PKU in the east to mild PKU in the southwest and mild hyperphenylalaninemia in the south. The c.1241A>G (p.Tyr414Cys)-associated genotype can be traced from Northern to Western Europe, from Sweden via Norway, to Denmark, to the Netherlands. The frequency of classic PKU increases from Europe (56%) via Middle East (71%) to Australia (80%). Of 758 PAH variants, c.1222C>T (p.Arg408Trp) (22.2%), c.1066−11G>A (IVS10−11G>A) (6.4%), and c.782G>A (p.Arg261Gln) (5.5%) were most common and responsible for two prevalent genotypes: p.[Arg408Trp];[Arg408Trp] (11.4%) and c.[1066−11G>A];[1066−11G>A] (2.6%). Most genotypes (73%) were compound heterozygous, 27% were homozygous, and 55% of 3,659 different genotypes occurred in only a single individual. PAH variants were scored using an allelic phenotype value and correlated with pre-treatment blood phenylalanine concentrations (n = 6,115) and tetrahydrobiopterin loading test results (n = 4,381), enabling prediction of both a genotype-based phenotype (88%) and tetrahydrobiopterin responsiveness (83%). This study shows that large genotype databases enable accurate phenotype prediction, allowing appropriate targeting of therapies to optimize clinical outcome.Fil: Hillert, Alicia. No especifĂ­ca;Fil: Anikster, Yair. No especifĂ­ca;Fil: Belanger Quintana, Amaya. No especifĂ­ca;Fil: Burlina, Alberto. No especifĂ­ca;Fil: Burton, Barbara K.. No especifĂ­ca;Fil: Carducci, Carla. No especifĂ­ca;Fil: Chiesa, Ana Elena. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Centro de Investigaciones EndocrinolĂłgicas "Dr. CĂ©sar Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones EndocrinolĂłgicas "Dr. CĂ©sar Bergada". FundaciĂłn de EndocrinologĂ­a Infantil. Centro de Investigaciones EndocrinolĂłgicas "Dr. CĂ©sar Bergada"; ArgentinaFil: Christodoulou, John. No especifĂ­ca;Fil: Dordevic, Maja. No especifĂ­ca;Fil: Desviat, Lourdes R.. No especifĂ­ca;Fil: Eliyahu, Aviva. No especifĂ­ca;Fil: Evers, Roeland A.F.. No especifĂ­ca;Fil: Fajkusova, Lena. No especifĂ­ca;Fil: Feillet, Francois. No especifĂ­ca;Fil: Bonfim Freitas, Pedro E.. No especifĂ­ca;Fil: Gizewska, MarĂ­a. No especifĂ­ca;Fil: Gundorova, Polina. No especifĂ­ca;Fil: Karall, Daniela. No especifĂ­ca;Fil: Kneller, Katya. No especifĂ­ca;Fil: Kutsev, Sergey I.. No especifĂ­ca;Fil: Leuzzi, Vincenzo. No especifĂ­ca;Fil: Levy, Harvey L.. No especifĂ­ca;Fil: Lichter Koneck, Uta. No especifĂ­ca;Fil: Muntau, Ania C.. No especifĂ­ca;Fil: Namour, Fares. No especifĂ­ca;Fil: Oltarzewsk, Mariusz. No especifĂ­ca;Fil: Paras, Andrea. No especifĂ­ca;Fil: Perez, BelĂ©n. No especifĂ­ca;Fil: Polak, Emil. No especifĂ­ca;Fil: Polyakov, Alexander V.. No especifĂ­ca;Fil: Porta, Francesco. No especifĂ­ca;Fil: Rohrbach, Marianne. No especifĂ­ca;Fil: Scholl BĂŒrgi, Sabine. No especifĂ­ca;Fil: SpĂ©cola, Norma. No especifĂ­ca;Fil: Stojiljkovic, Maja. No especifĂ­ca;Fil: Shen, Nan. No especifĂ­ca;Fil: Santana da Silva, Luiz C.. No especifĂ­ca;Fil: Skouma, Anastasia. No especifĂ­ca;Fil: van Spronsen, Francjan. No especifĂ­ca;Fil: Stoppioni, Vera. No especifĂ­ca;Fil: Thöny, Beat. No especifĂ­ca;Fil: Trefz, Friedrich K.. No especifĂ­ca;Fil: Vockley, Jerry. No especifĂ­ca;Fil: Yu, Youngguo. No especifĂ­ca;Fil: Zschocke, Johannes. No especifĂ­ca;Fil: Hoffmann, Georg F.. No especifĂ­ca;Fil: Garbade, Sven F.. No especifĂ­ca;Fil: Blau, Nenad. No especifĂ­ca

    The Genetic Landscape and Epidemiology of Phenylketonuria

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    Phenylketonuria (PKU), caused by variants in the phenylalanine hydroxylase (PAH) gene, is the most common autosomal-recessive Mendelian phenotype of amino acid metabolism. We estimated that globally 0.45 million individuals have PKU, with global prevalence 1:23,930 live births (range 1:4,500 [Italy]-1:125,000 [Japan]). Comparing genotypes and metabolic phenotypes from 16,092 affected subjects revealed differences in disease severity in 51 countries from 17 world regions, with the global phenotype distribution of 62% classic PKU, 22% mild PKU, and 16% mild hyperphenylalaninemia. A gradient in genotype and phenotype distribution exists across Europe, from classic PKU in the east to mild PKU in the southwest and mild hyperphenylalaninemia in the south. The c.1241A gt G (p.Tyr414Cys)-associated genotype can be traced from Northern to Western Europe, from Sweden via Norway, to Denmark, to the Netherlands. The frequency of classic PKU increases from Europe (56%) via Middle East (71%) to Australia (80%). Of 758 PAH variants, c.1222C gt T (p.Arg408Trp) (22.2%), c.1066-11G gt A (IVS10-11G gt A) (6.4%), and c.782G gt A (p.Arg261Gln) (5.5%) were most common and responsible for two prevalent genotypes: p.[Arg408Trp];[Arg408Trp] (11.4%) and c.[1066-11G gt A];[1066-11G gt A] (2.6%). Most genotypes (73%) were compound heterozygous, 27% were homozygous, and 55% of 3,659 different genotypes occurred in only a single individual. PAH variants were scored using an allelic phenotype value and correlated with pre-treatment blood phenylalanine concentrations (n = 6,115) and tetrahydrobiopterin loading test results (n = 4,381), enabling prediction of both a genotype-based phenotype (88%) and tetrahydrobiopterin responsiveness (83%). This study shows that large genotype databases enable accurate phenotype prediction, allowing appropriate targeting of therapies to optimize clinical outcome

    Diagnostic and therapeutic recommendations for the treatment of hyperphenylalaninemia in patients 0–4 years of age

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    Abstract Background Treatment of phenylketonuria (PKU) with sapropterin dihydrochloride in responsive patients from an early age can have many advantages for the patient over dietary restriction alone. Accordingly, approval of sapropterin in the European Union was extended in 2015 to include patients aged 0–4 years, bringing the treatment age range in line with that in the USA and providing an additional treatment option for those patients with PKU who are responsive or partially responsive to treatment with sapropterin. Subsequently, European guidelines have been published on the diagnosis and management of patients with PKU. However, testing for PKU can be demanding and requires particular expertise. We have compiled experience-based, real-world guidance in an algorithmic format to complement the published guidelines, with the overall aim to achieve optimized and individualized care for patients with PKU. Results Our guidance covers aspects such as how to perform, monitor and interpret appropriate biochemical measures to achieve effective patient management and desired outcomes, how to perform a tetrahydrobiopterin (BH4) loading test to assess responsiveness in newborns, and how to initiate sapropterin treatment in patients from birth. We also provide our expert opinion on starting pharmacotherapy in patients who were previously managed by diet alone. Conclusions Real-world-based guidance is particularly important in managing therapeutic strategies in newborns with PKU to achieve optimal long-term outcomes and will serve as a complement to the other published guidelines

    Les cardiolipides, des phospholipides clés pour la fonction mitochondriale. Relation avec les apports lipidiques et la physiopathologie

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    Le cardiolipide (CL) est un phospholipide exclusivement prĂ©sent dans la membrane mitochondriale et joue un rĂŽle clĂ© dans plusieurs processus de bioĂ©nergĂ©tique mitochondriale, ainsi que dans la stabilitĂ© et la dynamique de la membrane mitochondriale. En raison de sa richesse en acides gras polyinsaturĂ©s (en particulier en acide linolĂ©ique), le CL est trĂšs sensible Ă  l’attaque par les radicaux libres produits par la mitochondrie. L’oxydation du CL a des consĂ©quences majeures sur le fonctionnement de la mitochondrie, en particulier la phosphorylationoxydative et la production d’ATP. Par ailleurs, les rĂ©gimes alimentaires plus ou moins riches en graisses peuvent modifier la composition lipidique de la membrane mitochondriale, y compris la teneur en CL et sa composition en acides gras, et ces modifications peuvent par la suite altĂ©rer le fonctionnement de la mitochondrie. Or, les rĂ©gimes alimentaires riches en graisses sont associĂ©s Ă  la stĂ©atose hĂ©patique et Ă  l’insulino-rĂ©sistance, deux problĂšmes majeurs de santĂ© publique. L’objectif de cet article est de faire le point sur les connaissances actuelles concernant le rĂŽle du CL dans les pathologies nutritionnelles liĂ©es Ă  une surcharge en lipides

    Impact of high dietary lipid intake and related metabolic disorders on the abundance and acyl composition of the unique mitochondrial phospholipid, cardiolipin

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    Excessive dietary lipid intake, coupled with lack of exercise, are the major causes of the development and progression of metabolic syndrome features e. g. obesity, hepatic steatosis, insulin resistance, type 2 diabetes and cardiovascular diseases. These metabolic diseases are associated with both structural and functional alterations of mitochondria. Cardiolipin (CL) is a unique phospholipid that is almost exclusively localized in the mitochondrial inner membrane. Cardiolipin is at the heart of mitochondrial metabolism playing a key role in several processes of mitochondrial bioenergetics as well as in mitochondrial membrane stability and dynamics, and in many of the mitochondrial-dependent steps of apoptosis. Indeed, alterations to CL content and acyl chain profile have been associated with mitochondrial dysfunction in multiple tissues in Barth syndrome and in many other physio-pathological conditions. After a brief overview of the biological roles of CL, we highlight the consequences of lipid overload-related nutritional manipulations as well as related metabolic disorders on both CL content and its fatty acid composition in the major metabolic tissues, the heart, muscle and liver. The goal of this review is to fill a void in the CL literature concerning the effects of CL abundance and form that arise following high lipid supplementation and the related metabolic disorders

    Les FAHFAs, une nouvelle classe de lipides endogĂšnes bioactifs

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    Fatty acid hydroxylated fatty acid esters (FAHFAs) are a family of endogenous lipids recently rediscovered by Professor Kahn's team (Yore et al., 2014). Several studies have shown that FAHFAs improve glucose tolerance, sensitivity to and secretion of insulin and have anti-inflammatory effects. FAHFAs are found in blood and many tissues in humans and in rodents, as well as in breast milk and in food. They are synthesized de novo in tissues, however the biosynthesis and degradation pathways of these bioactive lipids are not yet elucidated. Several studies show that the levels of FAHFAs are regulated in mice and humans by physiological and physiopathological conditions such as fasting, obesity and insulin resistance. In this review, we will present the current state of the art concerning FAHFAs and in particular, the biological effects of these bioactive lipids.Les esters d’acides gras hydroxylĂ©s (FAHFAs) sont une famille de lipides endogĂšnes rĂ©cemment dĂ©couverts par l’équipe du Pr Kahn (Yore et al., 2014). Plusieurs travaux montrent que les FAHFAs amĂ©liorent la tolĂ©rance au glucose, la sensibilitĂ© Ă  l’insuline et sa sĂ©crĂ©tion, et possĂšdent des effets anti-inflammatoires. Les FAHFAs sont prĂ©sents dans le sang et dans de nombreux tissus chez l’homme et chez le rongeur, mais Ă©galement dans le lait maternel et dans les aliments. Les FAHFAs sont synthĂ©tisĂ©s de novo dans les tissus, cependant leurs voies de biosynthĂšse et de dĂ©gradation ne sont pas Ă©lucidĂ©es Ă  ce jour. Les taux de FAHFAs dans l’organisme seraient modifiĂ©s par des altĂ©rations physiologiques et physiopathologiques tels le jeĂ»ne, l’obĂ©sitĂ© et l’insulinorĂ©sistance. Dans cette revue, nous ferons un bilan sur l’état des connaissances concernant les FAHFAs et prĂ©senterons en particulier les effets biologiques de ces lipides bioactifs connus Ă  l’heure actuell
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