The Use of Multi-parametric Biomarker Profiles May Increase the Accuracy of ASD Prediction

Journal of Molecular Neuroscience

Volumn 66, Issue 1, 2018, Pages 85-101

  Hassan, Wail M ^a,b   Al Ayadhi, Laila ^c   Bjørklund, Geir ^d   Alabdali, Altaf ^e   Chirumbolo, Salvatore ^f   El Ansary, Afaf ^c,g  

^a UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

^b UNIVERSITY OF MISSOURI KANSAS CITY SCHOOL OF MEDICINE   (United States)

^c KING SAUD UNIVERSITY   (Saudi Arabia)

^d Department of Research   (Norway)

^e KING SAUD UNIVERSITY   (Saudi Arabia)

^f UNIVERSITY OF VERONA   (Italy)

^g NATIONAL RESEARCH CENTRE   (Egypt)

Author keywords

Antioxidants; Autism; Biomarkers; Heavy metals; Hierarchical clustering; Neurotransmitters

Indexed keywords

4 AMINOBUTYRIC ACID; ALPHA TOCOPHEROL; BIOLOGICAL MARKER; DOPAMINE; GAMMA INTERFERON; GLUTATHIONE TRANSFERASE; INTERFERON GAMMA INDUCIBLE PROTEIN 16; MERCURY; OXYTOCIN; SEROTONIN; UNCLASSIFIED DRUG; AGENTS INTERACTING WITH TRANSMITTER, HORMONE OR DRUG RECEPTORS; GLUTATHIONE; HEAVY METAL;

ACCURACY; ARTICLE; AUTISM; CHILD; CONTROLLED STUDY; DISEASE SEVERITY; FOLLOW UP; HUMAN; K NEAREST NEIGHBOR; MAJOR CLINICAL STUDY; MALE; PREDICTION; SENSITIVITY AND SPECIFICITY; ALGORITHM; BLOOD; CASE CONTROL STUDY; PRESCHOOL CHILD; STANDARDS;

ALGORITHMS; AUTISM SPECTRUM DISORDER; BIOMARKERS; CASE-CONTROL STUDIES; CHILD; CHILD, PRESCHOOL; GLUTATHIONE; HUMANS; MALE; METALS, HEAVY; NEUROTRANSMITTER AGENTS; VITAMIN E;

EID: 85051856015     PISSN: 08958696     EISSN: 15591166     Source Type: Journal    
DOI: 10.1007/s12031-018-1136-9     Document Type: Article

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