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Mental Health Symptom Reduction Using Digital Therapeutics Care Informed by Genomic SNPs and Gut Microbiome Signatures

Neuropsychiatric diseases and obesity are major components of morbidity and health care costs, with genetic, lifestyle, and gut microbiome factors linked to their etiology. Dietary and weight-loss interventions can help improve mental health, but there is conflicting evidence regarding their efficac...

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Autores principales: Pedroso, Inti, Kumbhare, Shreyas Vivek, Joshi, Bharat, Saravanan, Santosh K., Mongad, Dattatray Suresh, Singh-Rambiritch, Simitha, Uday, Tejaswini, Muthukumar, Karthik Marimuthu, Irudayanathan, Carmel, Reddy-Sinha, Chandana, Dulai, Parambir S., Sinha, Ranjan, Almonacid, Daniel Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409755/
https://www.ncbi.nlm.nih.gov/pubmed/36013186
http://dx.doi.org/10.3390/jpm12081237
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author Pedroso, Inti
Kumbhare, Shreyas Vivek
Joshi, Bharat
Saravanan, Santosh K.
Mongad, Dattatray Suresh
Singh-Rambiritch, Simitha
Uday, Tejaswini
Muthukumar, Karthik Marimuthu
Irudayanathan, Carmel
Reddy-Sinha, Chandana
Dulai, Parambir S.
Sinha, Ranjan
Almonacid, Daniel Eduardo
author_facet Pedroso, Inti
Kumbhare, Shreyas Vivek
Joshi, Bharat
Saravanan, Santosh K.
Mongad, Dattatray Suresh
Singh-Rambiritch, Simitha
Uday, Tejaswini
Muthukumar, Karthik Marimuthu
Irudayanathan, Carmel
Reddy-Sinha, Chandana
Dulai, Parambir S.
Sinha, Ranjan
Almonacid, Daniel Eduardo
author_sort Pedroso, Inti
collection PubMed
description Neuropsychiatric diseases and obesity are major components of morbidity and health care costs, with genetic, lifestyle, and gut microbiome factors linked to their etiology. Dietary and weight-loss interventions can help improve mental health, but there is conflicting evidence regarding their efficacy; and moreover, there is substantial interindividual heterogeneity that needs to be understood. We aimed to identify genetic and gut microbiome factors that explain interindividual differences in mental health improvement after a dietary and lifestyle intervention for weight loss. We recruited 369 individuals participating in Digbi Health’s personalized digital therapeutics care program and evaluated the association of 23 genetic scores, the abundance of 178 gut microbial genera, and 42 bacterial pathways with mental health. We studied the presence/absence of anxiety or depression, or sleep problems at baseline and improvement on anxiety, depression, and insomnia after losing at least 2% body weight. Participants lost on average 5.4% body weight and >95% reported improving mental health symptom intensity. There were statistically significant correlations between: (a) genetic scores with anxiety or depression at baseline, gut microbial functions with sleep problems at baseline, and (b) genetic scores and gut microbial taxa and functions with anxiety, depression, and insomnia improvement. Our results are concordant with previous findings, including the association between anxiety or depression at baseline with genetic scores for alcohol use disorder and major depressive disorder. As well, our results uncovered new associations in line with previous epidemiological literature. As evident from previous literature, we also observed associations of gut microbial signatures with mental health including short-chain fatty acids and bacterial neurotoxic metabolites specifically with depression. Our results also show that microbiome and genetic factors explain self-reported mental health status and improvement better than demographic variables independently. The genetic and microbiome factors identified in this study provide the basis for designing and personalizing dietary interventions to improve mental health.
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spelling pubmed-94097552022-08-26 Mental Health Symptom Reduction Using Digital Therapeutics Care Informed by Genomic SNPs and Gut Microbiome Signatures Pedroso, Inti Kumbhare, Shreyas Vivek Joshi, Bharat Saravanan, Santosh K. Mongad, Dattatray Suresh Singh-Rambiritch, Simitha Uday, Tejaswini Muthukumar, Karthik Marimuthu Irudayanathan, Carmel Reddy-Sinha, Chandana Dulai, Parambir S. Sinha, Ranjan Almonacid, Daniel Eduardo J Pers Med Article Neuropsychiatric diseases and obesity are major components of morbidity and health care costs, with genetic, lifestyle, and gut microbiome factors linked to their etiology. Dietary and weight-loss interventions can help improve mental health, but there is conflicting evidence regarding their efficacy; and moreover, there is substantial interindividual heterogeneity that needs to be understood. We aimed to identify genetic and gut microbiome factors that explain interindividual differences in mental health improvement after a dietary and lifestyle intervention for weight loss. We recruited 369 individuals participating in Digbi Health’s personalized digital therapeutics care program and evaluated the association of 23 genetic scores, the abundance of 178 gut microbial genera, and 42 bacterial pathways with mental health. We studied the presence/absence of anxiety or depression, or sleep problems at baseline and improvement on anxiety, depression, and insomnia after losing at least 2% body weight. Participants lost on average 5.4% body weight and >95% reported improving mental health symptom intensity. There were statistically significant correlations between: (a) genetic scores with anxiety or depression at baseline, gut microbial functions with sleep problems at baseline, and (b) genetic scores and gut microbial taxa and functions with anxiety, depression, and insomnia improvement. Our results are concordant with previous findings, including the association between anxiety or depression at baseline with genetic scores for alcohol use disorder and major depressive disorder. As well, our results uncovered new associations in line with previous epidemiological literature. As evident from previous literature, we also observed associations of gut microbial signatures with mental health including short-chain fatty acids and bacterial neurotoxic metabolites specifically with depression. Our results also show that microbiome and genetic factors explain self-reported mental health status and improvement better than demographic variables independently. The genetic and microbiome factors identified in this study provide the basis for designing and personalizing dietary interventions to improve mental health. MDPI 2022-07-28 /pmc/articles/PMC9409755/ /pubmed/36013186 http://dx.doi.org/10.3390/jpm12081237 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pedroso, Inti
Kumbhare, Shreyas Vivek
Joshi, Bharat
Saravanan, Santosh K.
Mongad, Dattatray Suresh
Singh-Rambiritch, Simitha
Uday, Tejaswini
Muthukumar, Karthik Marimuthu
Irudayanathan, Carmel
Reddy-Sinha, Chandana
Dulai, Parambir S.
Sinha, Ranjan
Almonacid, Daniel Eduardo
Mental Health Symptom Reduction Using Digital Therapeutics Care Informed by Genomic SNPs and Gut Microbiome Signatures
title Mental Health Symptom Reduction Using Digital Therapeutics Care Informed by Genomic SNPs and Gut Microbiome Signatures
title_full Mental Health Symptom Reduction Using Digital Therapeutics Care Informed by Genomic SNPs and Gut Microbiome Signatures
title_fullStr Mental Health Symptom Reduction Using Digital Therapeutics Care Informed by Genomic SNPs and Gut Microbiome Signatures
title_full_unstemmed Mental Health Symptom Reduction Using Digital Therapeutics Care Informed by Genomic SNPs and Gut Microbiome Signatures
title_short Mental Health Symptom Reduction Using Digital Therapeutics Care Informed by Genomic SNPs and Gut Microbiome Signatures
title_sort mental health symptom reduction using digital therapeutics care informed by genomic snps and gut microbiome signatures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409755/
https://www.ncbi.nlm.nih.gov/pubmed/36013186
http://dx.doi.org/10.3390/jpm12081237
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