Cluster analysis of autistic patients based on principal pathogenetic components

Autism Res. 2012 Apr;5(2):137-47. doi: 10.1002/aur.1226. Epub 2012 Mar 17.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Child
  • Child Development Disorders, Pervasive / classification*
  • Child Development Disorders, Pervasive / epidemiology
  • Child Development Disorders, Pervasive / physiopathology*
  • Child, Preschool
  • Chronobiology Disorders
  • Cluster Analysis
  • Developmental Disabilities
  • Female
  • Humans
  • Immune System Diseases
  • Italy / epidemiology
  • Male
  • Principal Component Analysis
  • Sensation Disorders
  • Stereotyped Behavior