Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.

Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.

Abstract: Disclosed herein are methods for treating subjects having ADHD identifiable by levels of 3-IS in blood.

Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.

Abstract: Disclosed herein are methods for treating subjects having ADHD identifiable by levels of 3-IS in blood.

Abstract: Disclosed herein are methods for treating subjects having ADHD identifiable by levels of 3-IS in blood.

Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.

Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.

Abstract: Disclosed herein are methods for treating subjects having ADHD identifiable by levels of 3-IS in blood.

Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.

Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.

Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.

Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.

Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.

Abstract: Markers are provided for detecting coronary artery disease. Levels of these markers are indicative of a patient being at risk of having or developing coronary artery disease.

Abstract: Markers are provided that are predictive of Alzheimer's disease. Levels of these markers, when different from a standard, are indicative of a patient being at risk of having or developing Alzheimer's disease.

Abstract: The present teachings relate to gaining insight into biological states, e.g., disease states or drugged states, by gathering, integrating, and combining biomolecular data. More particularly, the present teachings relate to methods and systems for profiling a state of a biological system, finding accessible biomarkers representative of the state of a biological system, and deriving insights into the biochemistry of a biological system for therapeutic, diagnostic, prognostic and other purposes.

Abstract: A method for predicting treatment response of a type II diabetes patient to rosiglitazone is provided. The method involves at least one sample from a patient having type II diabetes and analyzing biomarkers predictive of a patient who will respond to treatment with rosiglitazone. The biomarkers include, at least, interleukin-8, histidine, citrate. These biomarkers are identified in at least one classification analyses selected from the group consisting of a majority-vote based classifier and support-vector machine (SVM) classifier. Also provided is a method for predicting treatment response of a type II diabetes patient to glyburide at 8 weeks post-initiation of therapy. The method involves obtaining a sample from a type II diabetes patient who has been treated with glyburide for about 4 weeks and analyzing biomarkers predictive of a patient who will respond to treatment with glyburide at 8 weeks. The biomarkers useful in this method include, at least, sphingomyelin 23:1 and L-phenylalanine.

Abstract: Markers are provided for detecting coronary artery disease. Levels of these markers are indicative of a patient being at risk of having or developing coronary artery disease.

Abstract: Markers are provided that are predictive of Alzheimer's disease. Levels of these markers, when different from a standard, are indicative of a patient being at risk of having or developing Alzheimer's disease.