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hal.structure.identifierLaboratoire de Mathématiques de Bretagne Atlantique [LMBA]
dc.contributor.authorDURRIEU, Gilles
hal.structure.identifierPhysiopathologie mitochondriale
dc.contributor.authorLETELLIER, Thierry
hal.structure.identifierPhysiopathologie mitochondriale
dc.contributor.authorMALGAT, Monique
hal.structure.identifierPhysiopathologie mitochondriale
dc.contributor.authorROSSIGNOL, Rodrigues
dc.contributor.authorANTOCH, Jaromir
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDESHOUILLERS, Jean-Marc
dc.contributor.authorCOQUET, M.
hal.structure.identifierService de génétique médicale
dc.contributor.authorLACOMBE, Didier
dc.contributor.authorNETTER, Jc
hal.structure.identifierService de pédiatrie
dc.contributor.authorPEDESPAN, Jean Michel
dc.contributor.authorREDONNET-VERNHET, I.
hal.structure.identifierPhysiopathologie mitochondriale
dc.contributor.authorMAZAT, Jean-Pierre
dc.date.accessioned2024-04-04T02:20:59Z
dc.date.available2024-04-04T02:20:59Z
dc.date.created2000-07-01
dc.date.issued2000-07-01
dc.identifier.issn0023-6837
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189533
dc.description.abstractEnMitochondrial pathologies are a heterogeneous group of metabolic disorders that are frequently characterized by anomalies of oxidative phosphorylation, especially in the respiratory chain. The identification of these anomalies may involve many investigations, and biochemistry is a main tool. However, considering the whole set of biochemical data, the interpretation of the results by the traditionally used statistical methods remains complex and does not always lead to an unequivocal conclusion about the presence or absence of a respiratory chain defect. This arises from three main problems: (a) the absence of an a priori-defined control population, because the determination of the control values are derived from the whole set of investigated patients, (b) the small size of the population studied, (c) the large number of variables collected, each of which creates a wide variability. To cope with these problems, the principal component analysis (PCA) has been applied to the biochemical data obtained from 35 muscle biopsies of children suspected of having a mitochondrial disease. This analysis makes it possible for each respiratory chain complex to distinguish between different subsets within the whole population (normal, deficient, and, in between, borderline subgroups of patients) and to detect the most discriminating variables. PCA of the data of all complexes together showed that mitochondrial diseases in this population were mainly caused by multiple deficits in respiratory chain complexes. This analysis allows the definition of a new subgroup of newborns, which have high respiratory chain complex activity values. Our results show that the PCA method, which simultaneously takes into account all of the concerned variables, allows the separation of patients into subgroups, which may help clinicians make their diagnoses.
dc.language.isoen
dc.publisherNature Publishing Group
dc.title.enStatistical Analysis of Mitochondrial Pathologies in Childhood: Identification of Deficiencies using Principal Component Analysis
dc.typeArticle de revue
dc.subject.halStatistiques [stat]/Applications [stat.AP]
dc.subject.halSciences du Vivant [q-bio]
bordeaux.journalLaboratory Investigation
bordeaux.page1019-1030
bordeaux.volume80
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue7
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00906813
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00906813v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Laboratory%20Investigation&rft.date=2000-07-01&rft.volume=80&rft.issue=7&rft.spage=1019-1030&rft.epage=1019-1030&rft.eissn=0023-6837&rft.issn=0023-6837&rft.au=DURRIEU,%20Gilles&LETELLIER,%20Thierry&MALGAT,%20Monique&ROSSIGNOL,%20Rodrigues&ANTOCH,%20Jaromir&rft.genre=article


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