View clinical trials related to Inborn Errors of Metabolism.
Filter by:The primary goal of this study is to establish a biobank of dried blood spots and urines from a large control cohort and collect several cohorts as large as possible of patients affected or suspected of being affected by rare diseases (mainly hereditary metabolic diseases) or by autism spectrum disorders. A metabolomic database using a high-resolution mass spectrometer (i.e. the "Device") will be generated and specific biomarkers for the diseases will be confirmed or uncovered. The ultimate goal is to facilitate and improve the diagnosis and screening of the patients affected by these disorders, but also to improve the knowledge about the biochemical mechanisms involved over the course of the selected pathologies. High-resolution mass spectrometry allows the measurement of thousands of metabolites in a single analysis. The current biochemical tests used for the diagnosis of hereditary metabolic diseases are only using a combination of maximum a few dozens of biomarkers in one analysis. Objectives Unravel new biomarkers for diagnosis (+/- explore the altered pathways…) Uncover and/or validate newborn screening biomarkers through retrospective analysis of preserved newborn DBS from confirmed patients (useful for first or second tier biochemical NBS testing!) Validation of LC-MS qTOF for metabolomics screening as first line diagnostic test (thousands of metabolites) using diagnostic algorithms (modified z-scores) & continuous optimization by adding new cases and new controls in the database Generation of a biobank of urines and DBS from rare diseases (IEMs) & from a large reference population useful for other research applications
The aim of this study is to report and describe all the patients with confirmed diagnosis of inherited metabolic disease (IMD) treated with orphan medicinal products (OMPs) in a cohort of adult patients followed in a reference center for rare diseases (Lausanne University Hospital, CHUV) from 2017-2022.
This project assesses feasibility of providing medically vulnerable rural patients with Medical-Self-Assessment-Boxes containing equipment to use at home during telephone and video consultations (telemedicine) with GPs and other healthcare professionals. COVID-19 has caused an upsurge in primary care telemedicine which the investigators believe can be sustained and optimized to make things better for medically vulnerable rural patients beyond the pandemic. The investigators will achieve this by equipping the participants to self-measure and report key clinical measurements (e.g. blood pressure, temperature, oxygen levels) during telemedicine consultations. Before conducting a major evaluation of the Medical-Self-Assessment-Box for medically vulnerable rural patients the investigators must establish three things: First, to show the investigators can issue a Medical-Self-Assessment-Box to medically vulnerable rural patients and enable them to use it properly. Second, to determine that patients can use the Medical-Self-Assessment-Box effectively during telemedicine consultations. Third, to show that it is possible to measure how well the Medical-Self-Assessment-Box is working by counting how often the boxes are being used and whether use is appropriate and helpful. The knowledge gained will provide the investigators with the information needed to develop a funding proposal to evaluate Medical-Self-Assessment-Boxes for medically vulnerable rural patients in the whole of the UK.
The objective of the study was to interpret metabolic profiles of plasma amino acid (PAA) and compare reference intervals (RI) of PAA data from Pakistan with data from other countries using Clinical Laboratory Integrated Reports (CLIR). One-year data (reference and cases data) of twenty-two PAA, analyzed by ion exchange high performance chromatography at Biochemical Genetics Laboratory (BGL) of Aga Khan University Pakistan, was compiled in a comma-separated values (.csv) file and uploaded on CLIR Software using AAQP (Amino Acid in Plasma) application for statistical analysis. Among total of 2081 PAA profiles, 92% (n=1913) were completely normal with all PAA values falling within the age-specific reference range. A concordance of 98.8% was noted between the reporting done by the BGL at AKU and then after applying CLIR tools.
Main aims of this project are - To assess the baseline status-quo of transition and "fitness for transfer" in terms of information about the adult centre and team, organisational and practical skills (blood sampling and sending, how to make an appointment etc.), disease- and treatment-related knowledge, health-related quality of life (HrQoL), and self-efficacy in adolescnets with inborn errors of metabolism. Biochemical or physical parameters as appropriate for the respective diseases from 12 months before are documented. - To provide targeted, structured intervention modules (using available and, if necessary, adapted materials). - To measure the effects of these interventions on information about adult services short-term (within a month) and to re-assess all other baseline status-quo parameters long-term (6 and 12 months later). Psychological assessments will be complemented by biochemical or physical parameters as appropriate for the respective diseases and indicative for transition success.
Study around children with inborn errors of metabolism (IEM) and their healthy siblings. Collection of stool and urine to assess contribution of microbiota to disease severity.
Birth defects are relatively common, occurring in 1 in 40 live born babies. They can be single, or multiple. They may occur as part of multiple malformation syndromes, often in association with growth disturbance or intellectual disability. Over 7000 rare syndromes have been identified. Thus, though they are rare they are collectively important. Understanding how a multiple malformation syndrome came about, defining what investigations and health surveillance is needed for affected children and identifying whether there is a treatment is very important for parents and professionals caring for affected children and also for genetic counselling of their extended families, since the majority will have a genetic basis. Diagnosis of these rare disorders is therefore important,but as many syndromes are rare this can be extremely difficult and requires specialist knowledge, many investigations and many hospital appointments. This study aims to determine whether using face-recognition software can improve diagnosis of rare syndromes when used in addition to current routine practice.
The goal of this study is to identify and characterize novel non-coding and splicing variants that may contribute to genetic disorders. We will particularly focus on patients with a diagnosed genetic disorder that has inconclusive genetic findings.
The aim of this study is to demonstrate that a new protein substitute is acceptable and well tolerated in children with PKU.
The aim of this study is to demonstrate that a new protein substitute is acceptable and well tolerated in children with PKU.