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374 Identification of Psychosis Risk Biomarkers in 22q11DS for future translational studies
OBJECTIVES/GOALS: 22q.11 deletion syndrome (22q11DS) is a genomic syndrome that elevates risk for psychosis >20-fold. We used a battery of cognitive and psychophysiological psychosis-risk biomarkers in 22q11DS patients and healthy subjects in order to identify biomarkers of psychosis in 22q11DS t...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129592/ http://dx.doi.org/10.1017/cts.2023.412 |
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author | Parker, David Imes, Sid Ruben, Gabrielle Cuthbert, Bruce Hershey, Brett Walker, Elaine Ousley, Opal Cubells, Joseph Duncan, Erica |
author_facet | Parker, David Imes, Sid Ruben, Gabrielle Cuthbert, Bruce Hershey, Brett Walker, Elaine Ousley, Opal Cubells, Joseph Duncan, Erica |
author_sort | Parker, David |
collection | PubMed |
description | OBJECTIVES/GOALS: 22q.11 deletion syndrome (22q11DS) is a genomic syndrome that elevates risk for psychosis >20-fold. We used a battery of cognitive and psychophysiological psychosis-risk biomarkers in 22q11DS patients and healthy subjects in order to identify biomarkers of psychosis in 22q11DS that could be used as translational targets in intervention studies. METHODS/STUDY POPULATION: We recruited 15 22q11DS individuals (Mean age=30, M/F=9/6) and 19 healthy controls (HCs; Mean age=34, M/F=5/14). Each individual completed the MATRICS Consensus Cognitive Battery (MCCB), the Wechsler Abbreviated Scale of Intelligence, Second edition (WASI-II) Verbal IQ subtests, and the computerized Wisconsin Card Sorting Task (WCST). To examine auditory EEG responses, each participant completed the 'Double-Deviant' target detection paradigm, which presents a pseudorandom sequence of frequent standard tones and infrequent deviant tones. Mismatch negativity (MMN) metrics were generated from this assessment. Welch's t-tests were completed for neurocognitive variables. One-Way ANOVAs were completed to examine EEG results, with sex entered as a separate factor and age entered as a covariate. RESULTS/ANTICIPATED RESULTS: Significant group differences were found in 8 of the 9 neurocognitive measurements (FDR-adjusted p's< 0.02, average Cohen's d=1.62, average observed power= 0.91) indicating widespread cognitive deficits in 22q11DS subjects across multiple domains. The Double-Deviant MMN ERP response was significantly smaller in absolute magnitude in the 22q11DS group (FDR-adjusted p=0.048, Cohen’s d= -0.864, observed power= 0.58). The MMN ERPs for the frequency and duration deviants were not significantly different (FDR-adjusted p's> 0.33). No group by sex interactions were observed in any of the measures. Neurocognitive variables were associated with psychosis positive, negative, general, and disorganized symptom scales. DISCUSSION/SIGNIFICANCE: Our results identify potential psychosis-risk biomarkers in 22q11DS. If replicated, these biomarkers could provide important translational targets for future clinical trials for individuals with 22q11DS and other individuals at-risk for psychosis syndromes. |
format | Online Article Text |
id | pubmed-10129592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101295922023-04-26 374 Identification of Psychosis Risk Biomarkers in 22q11DS for future translational studies Parker, David Imes, Sid Ruben, Gabrielle Cuthbert, Bruce Hershey, Brett Walker, Elaine Ousley, Opal Cubells, Joseph Duncan, Erica J Clin Transl Sci Precision Medicine/Health OBJECTIVES/GOALS: 22q.11 deletion syndrome (22q11DS) is a genomic syndrome that elevates risk for psychosis >20-fold. We used a battery of cognitive and psychophysiological psychosis-risk biomarkers in 22q11DS patients and healthy subjects in order to identify biomarkers of psychosis in 22q11DS that could be used as translational targets in intervention studies. METHODS/STUDY POPULATION: We recruited 15 22q11DS individuals (Mean age=30, M/F=9/6) and 19 healthy controls (HCs; Mean age=34, M/F=5/14). Each individual completed the MATRICS Consensus Cognitive Battery (MCCB), the Wechsler Abbreviated Scale of Intelligence, Second edition (WASI-II) Verbal IQ subtests, and the computerized Wisconsin Card Sorting Task (WCST). To examine auditory EEG responses, each participant completed the 'Double-Deviant' target detection paradigm, which presents a pseudorandom sequence of frequent standard tones and infrequent deviant tones. Mismatch negativity (MMN) metrics were generated from this assessment. Welch's t-tests were completed for neurocognitive variables. One-Way ANOVAs were completed to examine EEG results, with sex entered as a separate factor and age entered as a covariate. RESULTS/ANTICIPATED RESULTS: Significant group differences were found in 8 of the 9 neurocognitive measurements (FDR-adjusted p's< 0.02, average Cohen's d=1.62, average observed power= 0.91) indicating widespread cognitive deficits in 22q11DS subjects across multiple domains. The Double-Deviant MMN ERP response was significantly smaller in absolute magnitude in the 22q11DS group (FDR-adjusted p=0.048, Cohen’s d= -0.864, observed power= 0.58). The MMN ERPs for the frequency and duration deviants were not significantly different (FDR-adjusted p's> 0.33). No group by sex interactions were observed in any of the measures. Neurocognitive variables were associated with psychosis positive, negative, general, and disorganized symptom scales. DISCUSSION/SIGNIFICANCE: Our results identify potential psychosis-risk biomarkers in 22q11DS. If replicated, these biomarkers could provide important translational targets for future clinical trials for individuals with 22q11DS and other individuals at-risk for psychosis syndromes. Cambridge University Press 2023-04-24 /pmc/articles/PMC10129592/ http://dx.doi.org/10.1017/cts.2023.412 Text en © The Association for Clinical and Translational Science 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. |
spellingShingle | Precision Medicine/Health Parker, David Imes, Sid Ruben, Gabrielle Cuthbert, Bruce Hershey, Brett Walker, Elaine Ousley, Opal Cubells, Joseph Duncan, Erica 374 Identification of Psychosis Risk Biomarkers in 22q11DS for future translational studies |
title | 374 Identification of Psychosis Risk Biomarkers in 22q11DS for future translational studies |
title_full | 374 Identification of Psychosis Risk Biomarkers in 22q11DS for future translational studies |
title_fullStr | 374 Identification of Psychosis Risk Biomarkers in 22q11DS for future translational studies |
title_full_unstemmed | 374 Identification of Psychosis Risk Biomarkers in 22q11DS for future translational studies |
title_short | 374 Identification of Psychosis Risk Biomarkers in 22q11DS for future translational studies |
title_sort | 374 identification of psychosis risk biomarkers in 22q11ds for future translational studies |
topic | Precision Medicine/Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129592/ http://dx.doi.org/10.1017/cts.2023.412 |
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