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.
Cluster analysis of autistic patients based on principal pathogenetic components / R. Sacco, C. Lenti, M. Saccani, P. Curatolo, B. Manzi, C. Bravaccio, A.M. Persico. - In: AUTISM RESEARCH. - ISSN 1939-3792. - 5:2(2012 Apr), pp. 137-147.
|Titolo:||Cluster analysis of autistic patients based on principal pathogenetic components|
LENTI, CARLO GIULIO (Secondo)
|Parole Chiave:||Cluster analysis; Immune system; Neurodevelopment; Pervasive developmental disorders; Principal component analysis|
|Settore Scientifico Disciplinare:||Settore MED/39 - Neuropsichiatria Infantile|
|Data di pubblicazione:||apr-2012|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1002/aur.1226|
|Appare nelle tipologie:||01 - Articolo su periodico|