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Common Factors Underlying Diverse Responses in Alcohol Use Disorder

OBJECTIVE: Interindividual variation in responses to alcohol is substantial, posing challenges for medical management and for understanding the biological underpinnings of alcohol use disorders (AUD). It is important to understand whether diverse alcohol responses such as sedation, which is predicti...

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Autores principales: Chebolu, Esha, Schwandt, Melanie L., Ramchandani, Vijay A., Stangl, Bethany L., George, David T., Horneffer, Yvonne, Vinson, Tonette, Vogt, Emily L., Manor, Brandon A., Diazgranados, Nancy, Goldman, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552111/
https://www.ncbi.nlm.nih.gov/pubmed/34746678
http://dx.doi.org/10.1176/appi.prcp.20200028
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author Chebolu, Esha
Schwandt, Melanie L.
Ramchandani, Vijay A.
Stangl, Bethany L.
George, David T.
Horneffer, Yvonne
Vinson, Tonette
Vogt, Emily L.
Manor, Brandon A.
Diazgranados, Nancy
Goldman, David
author_facet Chebolu, Esha
Schwandt, Melanie L.
Ramchandani, Vijay A.
Stangl, Bethany L.
George, David T.
Horneffer, Yvonne
Vinson, Tonette
Vogt, Emily L.
Manor, Brandon A.
Diazgranados, Nancy
Goldman, David
author_sort Chebolu, Esha
collection PubMed
description OBJECTIVE: Interindividual variation in responses to alcohol is substantial, posing challenges for medical management and for understanding the biological underpinnings of alcohol use disorders (AUD). It is important to understand whether diverse alcohol responses such as sedation, which is predictive of risk and partly heritable, occur concurrently or independently from responses such as blackouts and withdrawal. We hypothesized that latent factors accounting for sources of variance in diverse alcohol response phenotypes could be identified in a large, deeply phenotyped sample of patients with AUD. METHODS: We factor analyzed 17 alcohol response related items from the Alcohol Dependence Scale (ADS) in 938 individuals diagnosed with AUD via structured clinical interviews. Demographic, genetic, and clinical characteristics were tested as predictors of the latent factors by multiple indicators, multiple causes analysis. RESULTS: The final factor solution included three alcohol response factors: Physical Symptoms, Perceptual Disturbances, and Neurobiological Effects. Both gender and genetic ancestry were identified as variables influencing alcohol response. Major depressive disorder positively predicted physical symptoms and aggression negatively predicted physical symptoms. Barratt's Impulsivity Scale total score predicted the Physical and Perceptual domains. Family history, average drinks per drinking day, and negative urgency (an impulsivity measure) predicted all three domains. CONCLUSIONS: Diverse items from the ADS concurrently load onto three correlated alcohol response factors rather than loading independently. Genetic ancestry and clinical characteristics predicted the severity of items that define the alcohol response factors even after accounting for degree of alcohol consumption. Co‐occurring phenotypes point towards an underlying shared physiology of diverse alcohol responses.
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spelling pubmed-85521112021-11-04 Common Factors Underlying Diverse Responses in Alcohol Use Disorder Chebolu, Esha Schwandt, Melanie L. Ramchandani, Vijay A. Stangl, Bethany L. George, David T. Horneffer, Yvonne Vinson, Tonette Vogt, Emily L. Manor, Brandon A. Diazgranados, Nancy Goldman, David Psychiatr Res Clin Pract Research Articles OBJECTIVE: Interindividual variation in responses to alcohol is substantial, posing challenges for medical management and for understanding the biological underpinnings of alcohol use disorders (AUD). It is important to understand whether diverse alcohol responses such as sedation, which is predictive of risk and partly heritable, occur concurrently or independently from responses such as blackouts and withdrawal. We hypothesized that latent factors accounting for sources of variance in diverse alcohol response phenotypes could be identified in a large, deeply phenotyped sample of patients with AUD. METHODS: We factor analyzed 17 alcohol response related items from the Alcohol Dependence Scale (ADS) in 938 individuals diagnosed with AUD via structured clinical interviews. Demographic, genetic, and clinical characteristics were tested as predictors of the latent factors by multiple indicators, multiple causes analysis. RESULTS: The final factor solution included three alcohol response factors: Physical Symptoms, Perceptual Disturbances, and Neurobiological Effects. Both gender and genetic ancestry were identified as variables influencing alcohol response. Major depressive disorder positively predicted physical symptoms and aggression negatively predicted physical symptoms. Barratt's Impulsivity Scale total score predicted the Physical and Perceptual domains. Family history, average drinks per drinking day, and negative urgency (an impulsivity measure) predicted all three domains. CONCLUSIONS: Diverse items from the ADS concurrently load onto three correlated alcohol response factors rather than loading independently. Genetic ancestry and clinical characteristics predicted the severity of items that define the alcohol response factors even after accounting for degree of alcohol consumption. Co‐occurring phenotypes point towards an underlying shared physiology of diverse alcohol responses. John Wiley and Sons Inc. 2021-01-18 /pmc/articles/PMC8552111/ /pubmed/34746678 http://dx.doi.org/10.1176/appi.prcp.20200028 Text en Published 2021. This article is a U.S. Government work and is in the public domain in the USA. Psychiatric Research and Clinical Practice published by Wiley Periodicals LLC. on behalf of the American Psychiatric Association https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Chebolu, Esha
Schwandt, Melanie L.
Ramchandani, Vijay A.
Stangl, Bethany L.
George, David T.
Horneffer, Yvonne
Vinson, Tonette
Vogt, Emily L.
Manor, Brandon A.
Diazgranados, Nancy
Goldman, David
Common Factors Underlying Diverse Responses in Alcohol Use Disorder
title Common Factors Underlying Diverse Responses in Alcohol Use Disorder
title_full Common Factors Underlying Diverse Responses in Alcohol Use Disorder
title_fullStr Common Factors Underlying Diverse Responses in Alcohol Use Disorder
title_full_unstemmed Common Factors Underlying Diverse Responses in Alcohol Use Disorder
title_short Common Factors Underlying Diverse Responses in Alcohol Use Disorder
title_sort common factors underlying diverse responses in alcohol use disorder
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552111/
https://www.ncbi.nlm.nih.gov/pubmed/34746678
http://dx.doi.org/10.1176/appi.prcp.20200028
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