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Genetic Insights into Obesity and Brain: Combine Mendelian Randomization Study and Gene Expression Analysis
As a major public-health concern, obesity is imposing an increasing social burden around the world. The link between obesity and brain-health problems has been reported, but controversy remains. To investigate the relationship among obesity, brain-structure changes and diseases, a two-stage analysis...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295948/ https://www.ncbi.nlm.nih.gov/pubmed/37371369 http://dx.doi.org/10.3390/brainsci13060892 |
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author | Chen, Leian Zhao, Shaokun Wang, Yuye Niu, Xiaoqian Zhang, Bin Li, Xin Peng, Dantao |
author_facet | Chen, Leian Zhao, Shaokun Wang, Yuye Niu, Xiaoqian Zhang, Bin Li, Xin Peng, Dantao |
author_sort | Chen, Leian |
collection | PubMed |
description | As a major public-health concern, obesity is imposing an increasing social burden around the world. The link between obesity and brain-health problems has been reported, but controversy remains. To investigate the relationship among obesity, brain-structure changes and diseases, a two-stage analysis was performed. At first, we used the Mendelian-randomization (MR) approach to identify the causal relationship between obesity and cerebral structure. Obesity-related data were retrieved from the Genetic Investigation of ANthropometric Traits (GIANT) consortium and the UK Biobank, whereas the cortical morphological data were from the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium. Further, we extracted region-specific expressed genes according to the Allen Human Brian Atlas (AHBA) and carried out a series of bioinformatics analyses to find the potential mechanism of obesity and diseases. In the univariable MR, a higher body mass index (BMI) or larger visceral adipose tissue (VAT) was associated with a smaller global cortical thickness (p(BMI) = 0.006, p(VAT) = 1.34 × 10(−4)). Regional associations were found between obesity and specific gyrus regions, mainly in the fusiform gyrus and inferior parietal gyrus. Multivariable MR results showed that a greater body fat percentage was linked to a smaller fusiform-gyrus thickness (p = 0.029) and precuneus surface area (p = 0.035). As for the gene analysis, region-related genes were enriched to several neurobiological processes, such as compound transport, neuropeptide-signaling pathway, and neuroactive ligand–receptor interaction. These genes contained a strong relationship with some neuropsychiatric diseases, such as Alzheimer’s disease, epilepsy, and other disorders. Our results reveal a causal relationship between obesity and brain abnormalities and suggest a pathway from obesity to brain-structure abnormalities to neuropsychiatric diseases. |
format | Online Article Text |
id | pubmed-10295948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102959482023-06-28 Genetic Insights into Obesity and Brain: Combine Mendelian Randomization Study and Gene Expression Analysis Chen, Leian Zhao, Shaokun Wang, Yuye Niu, Xiaoqian Zhang, Bin Li, Xin Peng, Dantao Brain Sci Article As a major public-health concern, obesity is imposing an increasing social burden around the world. The link between obesity and brain-health problems has been reported, but controversy remains. To investigate the relationship among obesity, brain-structure changes and diseases, a two-stage analysis was performed. At first, we used the Mendelian-randomization (MR) approach to identify the causal relationship between obesity and cerebral structure. Obesity-related data were retrieved from the Genetic Investigation of ANthropometric Traits (GIANT) consortium and the UK Biobank, whereas the cortical morphological data were from the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium. Further, we extracted region-specific expressed genes according to the Allen Human Brian Atlas (AHBA) and carried out a series of bioinformatics analyses to find the potential mechanism of obesity and diseases. In the univariable MR, a higher body mass index (BMI) or larger visceral adipose tissue (VAT) was associated with a smaller global cortical thickness (p(BMI) = 0.006, p(VAT) = 1.34 × 10(−4)). Regional associations were found between obesity and specific gyrus regions, mainly in the fusiform gyrus and inferior parietal gyrus. Multivariable MR results showed that a greater body fat percentage was linked to a smaller fusiform-gyrus thickness (p = 0.029) and precuneus surface area (p = 0.035). As for the gene analysis, region-related genes were enriched to several neurobiological processes, such as compound transport, neuropeptide-signaling pathway, and neuroactive ligand–receptor interaction. These genes contained a strong relationship with some neuropsychiatric diseases, such as Alzheimer’s disease, epilepsy, and other disorders. Our results reveal a causal relationship between obesity and brain abnormalities and suggest a pathway from obesity to brain-structure abnormalities to neuropsychiatric diseases. MDPI 2023-05-31 /pmc/articles/PMC10295948/ /pubmed/37371369 http://dx.doi.org/10.3390/brainsci13060892 Text en © 2023 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 Chen, Leian Zhao, Shaokun Wang, Yuye Niu, Xiaoqian Zhang, Bin Li, Xin Peng, Dantao Genetic Insights into Obesity and Brain: Combine Mendelian Randomization Study and Gene Expression Analysis |
title | Genetic Insights into Obesity and Brain: Combine Mendelian Randomization Study and Gene Expression Analysis |
title_full | Genetic Insights into Obesity and Brain: Combine Mendelian Randomization Study and Gene Expression Analysis |
title_fullStr | Genetic Insights into Obesity and Brain: Combine Mendelian Randomization Study and Gene Expression Analysis |
title_full_unstemmed | Genetic Insights into Obesity and Brain: Combine Mendelian Randomization Study and Gene Expression Analysis |
title_short | Genetic Insights into Obesity and Brain: Combine Mendelian Randomization Study and Gene Expression Analysis |
title_sort | genetic insights into obesity and brain: combine mendelian randomization study and gene expression analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295948/ https://www.ncbi.nlm.nih.gov/pubmed/37371369 http://dx.doi.org/10.3390/brainsci13060892 |
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