[article] 
inAutism Research > 5-2 (April 2012) . - p.137-147

Titre :	Cluster Analysis of Autistic Patients Based on Principal Pathogenetic Components
Type de document :	Texte imprimé et/ou numérique
Auteurs :	Roberto SACCO, Auteur ; Carlo LENTI, Auteur ; Monica SACCANI, Auteur ; Paolo CURATOLO, Auteur ; Barbara MANZI, Auteur ; Carmela BRAVACCIO, Auteur ; Antonio M. PERSICO, Auteur
Année de publication :	2012
Article en page(s) :	p.137-147
Langues :	Anglais (eng)
Mots-clés :	pervasive developmental disorders  cluster analysis  immune system  neurodevelopment  principal component analysis
Index. décimale :	PER Périodiques
Résumé :	We have recently described four principal pathogenetic components in autism: (I) circadian and sensory dysfunction, (II) immune abnormalities, (III) neurodevelopmental delay, and (IV) stereotypic behaviors. Using hierarchical and k-means clustering, the same 245 patients assessed in our principal component analysis can be partitioned into four clusters: (a) 43 (17.6%) have prominent immune abnormalities accompanied by some circadian and sensory issues; (b) 44 (18.0%) display major circadian and sensory dysfunction, with little or no immune symptoms; (c) stereotypies predominate in 75 (31.0%); and (d) 83 (33.9%) show a mixture of all four components, with greater disruptive behaviors and mental retardation. The “immune” component provides the largest contributions to phenotypic variance (P = 2.7 x 10–45), followed by “stereotypic behaviors.” These patient clusters may likely differ in genetic and immune underpinnings, developmental trajectories, and response to treatment.
En ligne :	http://dx.doi.org/10.1002/aur.1226
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=155

[article] Cluster Analysis of Autistic Patients Based on Principal Pathogenetic Components [Texte imprimé et/ou numérique] / Roberto SACCO, Auteur ; Carlo LENTI, Auteur ; Monica SACCANI, Auteur ; Paolo CURATOLO, Auteur ; Barbara MANZI, Auteur ; Carmela BRAVACCIO, Auteur ; Antonio M. PERSICO, Auteur . - 2012 . - p.137-147.
Langues : Anglais (eng)
in Autism Research > 5-2 (April 2012) . - p.137-147

Mots-clés :	pervasive developmental disorders  cluster analysis  immune system  neurodevelopment  principal component analysis
Index. décimale :	PER Périodiques
Résumé :	We have recently described four principal pathogenetic components in autism: (I) circadian and sensory dysfunction, (II) immune abnormalities, (III) neurodevelopmental delay, and (IV) stereotypic behaviors. Using hierarchical and k-means clustering, the same 245 patients assessed in our principal component analysis can be partitioned into four clusters: (a) 43 (17.6%) have prominent immune abnormalities accompanied by some circadian and sensory issues; (b) 44 (18.0%) display major circadian and sensory dysfunction, with little or no immune symptoms; (c) stereotypies predominate in 75 (31.0%); and (d) 83 (33.9%) show a mixture of all four components, with greater disruptive behaviors and mental retardation. The “immune” component provides the largest contributions to phenotypic variance (P = 2.7 x 10–45), followed by “stereotypic behaviors.” These patient clusters may likely differ in genetic and immune underpinnings, developmental trajectories, and response to treatment.
En ligne :	http://dx.doi.org/10.1002/aur.1226
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=155