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1.
Mol Genet Metab Rep ; 6: 55-9, 2016 Mar.
Article in English | MEDLINE | ID: mdl-27014578

ABSTRACT

Cobalamin C (cblC) defect is an inherited autosomal recessive disorder that affects cobalamin metabolism. Patients are treated with hydroxycobalamin to ameliorate the clinical features of early-onset disease and prevent clinical symptoms in late-onset disease. Here we describe a patient in whom prenatal maternal treatment with 30 mg/week hydroxycobalamin and 5 mg/day folic acid from week 15 of pregnancy prevented disease manifestation in a girl who is now 11 years old with normal IQ and only mild ophthalmic findings. The affected older sister received postnatal treatment only and is severely intellectually disabled with severe ophthalmic symptoms. This case highlights the potential of early, high-dose intrauterine treatment in a fetus affected by the cblC defect.

2.
Hum Mutat ; 31(1): E1081-8, 2010 Jan.
Article in English | MEDLINE | ID: mdl-19953641

ABSTRACT

RAMEDIS is a manually curated resource of human variations and corresponding phenotypes for rare metabolic diseases. The system is based on separate case reports that comprehensively describe various aspects of anonymous case study, e.g. molecular genetics, symptoms, lab findings, treatments, etc. Scientists are able to make use of the database by a simple and intuitive web-based user interface with a common web browser. A registration or login is not necessary for a full reading access to the system content. Furthermore, a mutation analysis table summarizes the submitted variations per diagnosis and enables direct access to detailed information of corresponding case reports. Interested scientists may open an account to submit their case reports in order to share valuable genotype-phenotype information efficiently with the scientific community. Currently, 794 case reports have been submitted, describing 92 different genetic metabolic diseases. To enhance the comprehensive coverage of available knowledge in the field of rare metabolic diseases, all case reports are linked to integrated information from public molecular biology databases like KEGG, OMIM and ENZYME. This information upgrades the case reports by related data of the corresponding diseases as well as involved enzymes, genes and metabolic pathways. Academic users may freely use the RAMEDIS system at http://www.ramedis.de.


Subject(s)
Databases, Genetic , Genetic Diseases, Inborn , Metabolic Diseases , Rare Diseases , Adolescent , Adult , Child , Child, Preschool , Computational Biology , Database Management Systems , Genetic Diseases, Inborn/genetics , Genetic Diseases, Inborn/physiopathology , Genetic Variation , Genotype , Humans , Internet , Metabolic Diseases/genetics , Metabolic Diseases/physiopathology , Mutation , Phenotype , Rare Diseases/genetics , Rare Diseases/physiopathology
3.
Appl Bioinformatics ; 5(2): 115-8, 2006.
Article in English | MEDLINE | ID: mdl-16722776

ABSTRACT

UNLABELLED: The RAMEDIS system is a platform-independent, web-based information system for rare diseases based on individual case reports. It was developed in close cooperation with clinical partners and collects information on rare metabolic diseases in extensive detail (e.g. symptoms, laboratory findings, therapy and genetic data). This combination of clinical and genetic data enables the analysis of genotype-phenotype correlations. By using largely standardised medical terms and conditions, the contents of the database are easy to compare and analyse. In addition, a convenient graphical user interface is provided by every common web browser. RAMEDIS supports an extendable number of different genetic diseases and enables cooperative studies. Furthermore, use of RAMEDIS should lead to advances in epidemiology, integration of molecular and clinical data, and generation of rules for therapeutic intervention and identification of new diseases. AVAILABILITY: RAMEDIS is available from http://www.ramedis.de CONTACT: Thoralf Töpel (thoralf.toepel@uni-bielefeld.de).


Subject(s)
Computational Biology/methods , Databases, Genetic , Metabolic Diseases/genetics , Rare Diseases/genetics , Computer Simulation , Database Management Systems , Databases as Topic , Databases, Factual , Genotype , Humans , Internet , Metabolic Diseases/metabolism , Models, Genetic , Phenotype , Software
4.
Mol Genet Metab ; 86 Suppl 1: S75-80, 2005 Dec.
Article in English | MEDLINE | ID: mdl-16242984

ABSTRACT

Tetrahydrobiopterin (BH4), the natural cofactor of phenylalanine hydroxylase (EC 1.14.16.1), can reduce blood phenylalanine (Phe) in BH4 sensitive patients with hyperphenylalaninemia (McKuisick 261600). We report on the long-term treatment of eight patients with mild and classical phenylketonuria (blood Phe levels maximum blood Phe levels between 771 and 1500 micromol/L) using BH4 at a dosage of 8-12 mg/kg BW per day. In all patients reduction of blood Phe was >30% after BH4 loading test. Three patients were treated from birth by BH4 only, five after initial low Phe dietary treatment. Seven of them continue to be on BH4 treatment only, one has a relaxed low protein diet. No side effects could be observed (longest observation time 5 years), somatic and psychomotor development were normal. The main problem of BH4 treatment is finding an optimal dosage at different ages and an under special conditions like infectious diseases. There is evidence that in some patients BH4 treatment may allow a more relaxed low protein diet showing positive effects on weight gain and quality of life. Further controlled studies are necessary not only to rule out any side effects but also for optimizing treatment strategies with BH4 treatment in mild phenylketonuria.


Subject(s)
Biopterins/analogs & derivatives , Phenylketonurias/drug therapy , Biopterins/administration & dosage , Biopterins/therapeutic use , Combined Modality Therapy , Diet, Protein-Restricted , Dose-Response Relationship, Drug , Female , Humans , Infant, Newborn , Longitudinal Studies , Male , Phenylalanine/blood , Phenylalanine Hydroxylase/genetics , Phenylketonurias/blood , Phenylketonurias/diet therapy , Weight Gain
5.
In Silico Biol ; 2(3): 407-14, 2002.
Article in English | MEDLINE | ID: mdl-12542423

ABSTRACT

To gain further knowledge about rare genetic diseases, a world wide method for data collection via the Internet has been established. This new approach will improve collecting valuable data from single case reports. Ramedis saves standardised patient data which will be usable for statistics, longitudinal examinations and cooperative studies in future time. Embedded in the scene of the German Human Genome Project, Ramedis directly will enable phenotype-genotype correlations. Beside the better characterisation of clinical heterogeneity of rare metabolic diseases, there may be a great benefit for the treatment of these patients in whom prospective studies are otherwise expensive and difficult to perform. This contribution presents the motivation for this system, introduces features, current state and the future of the project. Additionally, first experiences of using Ramedis by health professionals are explained.


Subject(s)
Database Management Systems , Metabolic Diseases/genetics , Rare Diseases/genetics , Genotype , Humans , Phenotype , User-Computer Interface
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