1. In Search of Biomarkers to Guide Interventions in Autism Spectrum Disorder: A Systematic Review
- Author
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Parellada, Mara, Andreu-Bernabeu, Álvaro, Burdeus, Mónica, San José Cáceres, Antonia, Urbiola, Elena, Carpenter, Linda L, Kraguljac, Nina V, McDonald, William M, Nemeroff, Charles B, Rodriguez, Carolyn I, Widge, Alik S, State, Matthew W, and Sanders, Stephan J
- Subjects
Biological Psychology ,Biomedical and Clinical Sciences ,Psychology ,Mental Health ,Autism ,Neurosciences ,Prevention ,Intellectual and Developmental Disabilities (IDD) ,Clinical Research ,Brain Disorders ,Humans ,Autism Spectrum Disorder ,Biomarkers ,Phenotype ,Magnetic Resonance Imaging ,Research Design ,Biological Markers ,Clinical Drug Studies ,Clinical Trials ,Endophenotypes ,Pharmacodynamic Biomarkers ,Response Biomarkers ,Symptom Severity ,Translational Research ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Clinical sciences ,Clinical and health psychology - Abstract
ObjectiveThe aim of this study was to catalog and evaluate response biomarkers correlated with autism spectrum disorder (ASD) symptoms to improve clinical trials.MethodsA systematic review of MEDLINE, Embase, and Scopus was conducted in April 2020. Seven criteria were applied to focus on original research that includes quantifiable response biomarkers measured alongside ASD symptoms. Interventional studies or human studies that assessed the correlation between biomarkers and ASD-related behavioral measures were included.ResultsA total of 5,799 independent records yielded 280 articles for review that reported on 940 biomarkers, 755 of which were unique to a single publication. Molecular biomarkers were the most frequently assayed, including cytokines, growth factors, measures of oxidative stress, neurotransmitters, and hormones, followed by neurophysiology (e.g., EEG and eye tracking), neuroimaging (e.g., functional MRI), and other physiological measures. Studies were highly heterogeneous, including in phenotypes, demographic characteristics, tissues assayed, and methods for biomarker detection. With a median total sample size of 64, almost all of the reviewed studies were only powered to identify biomarkers with large effect sizes. Reporting of individual-level values and summary statistics was inconsistent, hampering mega- and meta-analysis. Biomarkers assayed in multiple studies yielded mostly inconsistent results, revealing a "replication crisis."ConclusionsThere is currently no response biomarker with sufficient evidence to inform ASD clinical trials. This review highlights methodological imperatives for ASD biomarker research necessary to make definitive progress: consistent experimental design, correction for multiple comparisons, formal replication, sharing of sample-level data, and preregistration of study designs. Systematic "big data" analyses of multiple potential biomarkers could accelerate discovery.
- Published
- 2023