Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Leian, Zhao, Shaokun, Wang, Yuye, Niu, Xiaoqian, Zhang, Bin, Li, Xin, Peng, Dantao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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
_version_ 1785063541932294144
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
work_keys_str_mv AT chenleian geneticinsightsintoobesityandbraincombinemendelianrandomizationstudyandgeneexpressionanalysis
AT zhaoshaokun geneticinsightsintoobesityandbraincombinemendelianrandomizationstudyandgeneexpressionanalysis
AT wangyuye geneticinsightsintoobesityandbraincombinemendelianrandomizationstudyandgeneexpressionanalysis
AT niuxiaoqian geneticinsightsintoobesityandbraincombinemendelianrandomizationstudyandgeneexpressionanalysis
AT zhangbin geneticinsightsintoobesityandbraincombinemendelianrandomizationstudyandgeneexpressionanalysis
AT lixin geneticinsightsintoobesityandbraincombinemendelianrandomizationstudyandgeneexpressionanalysis
AT pengdantao geneticinsightsintoobesityandbraincombinemendelianrandomizationstudyandgeneexpressionanalysis