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Lifestyle in adulthood can modify the causal relationship between BMI and islet function: using Mendelian randomization analysis
BACKGROUND: Body mass index was intimately associated with islet function, which was affected by various confounding factors. Among all methods of statistical analysis, Mendelian randomization best ruled out bias to find the causal relationship. In the present study, we explored the relationship bet...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022321/ https://www.ncbi.nlm.nih.gov/pubmed/35449023 http://dx.doi.org/10.1186/s13098-022-00828-7 |
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author | Liu, Xuekui Xu, Huihui Liu, Ying Yang, Manqing Xu, Wei Geng, Houfa Liang, Jun |
author_facet | Liu, Xuekui Xu, Huihui Liu, Ying Yang, Manqing Xu, Wei Geng, Houfa Liang, Jun |
author_sort | Liu, Xuekui |
collection | PubMed |
description | BACKGROUND: Body mass index was intimately associated with islet function, which was affected by various confounding factors. Among all methods of statistical analysis, Mendelian randomization best ruled out bias to find the causal relationship. In the present study, we explored the relationship between 13 East Asian body mass index-related genes reported previously and islet function using the Mendelian randomization method. METHODS: A total of 2892 participants residing in northern China were enrolled. Anthropological information, such as sex, age, drinking status, smoking status, weight, height and blood pressure, was recorded for all participants. Fasting glucose and insulin were detected, and the insulin sensitivity index was calculated. 13 single nucleotide polymorphismss in East Asian body mass index -related genes were analysed with the ABI7900HT system. RESULTS: Five genetic locus mutations, CDKAL1, MAP2K5, BDNF, FTO and SEC16B, were found to be associated with body mass index and were used to estimate the genetic risk score. We found that the genetic risk score was negatively associated with the insulin sensitivity index. Even after adjusted of confounding factors, the relationship showed statistical significance. A subsequent interaction effect analysis suggested that the negative relationship between the genetic risk score and insulin sensitivity index no longer existed in the nondrinking population, and smokers had a stronger negative relationship than nonsmokers. CONCLUSION: We found a negative causal relationship between body mass index-related genetic locus mutations and insulin resistance, which might be increased by acquired lifestyle factors, such as drinking and smoking status. |
format | Online Article Text |
id | pubmed-9022321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90223212022-04-22 Lifestyle in adulthood can modify the causal relationship between BMI and islet function: using Mendelian randomization analysis Liu, Xuekui Xu, Huihui Liu, Ying Yang, Manqing Xu, Wei Geng, Houfa Liang, Jun Diabetol Metab Syndr Research BACKGROUND: Body mass index was intimately associated with islet function, which was affected by various confounding factors. Among all methods of statistical analysis, Mendelian randomization best ruled out bias to find the causal relationship. In the present study, we explored the relationship between 13 East Asian body mass index-related genes reported previously and islet function using the Mendelian randomization method. METHODS: A total of 2892 participants residing in northern China were enrolled. Anthropological information, such as sex, age, drinking status, smoking status, weight, height and blood pressure, was recorded for all participants. Fasting glucose and insulin were detected, and the insulin sensitivity index was calculated. 13 single nucleotide polymorphismss in East Asian body mass index -related genes were analysed with the ABI7900HT system. RESULTS: Five genetic locus mutations, CDKAL1, MAP2K5, BDNF, FTO and SEC16B, were found to be associated with body mass index and were used to estimate the genetic risk score. We found that the genetic risk score was negatively associated with the insulin sensitivity index. Even after adjusted of confounding factors, the relationship showed statistical significance. A subsequent interaction effect analysis suggested that the negative relationship between the genetic risk score and insulin sensitivity index no longer existed in the nondrinking population, and smokers had a stronger negative relationship than nonsmokers. CONCLUSION: We found a negative causal relationship between body mass index-related genetic locus mutations and insulin resistance, which might be increased by acquired lifestyle factors, such as drinking and smoking status. BioMed Central 2022-04-21 /pmc/articles/PMC9022321/ /pubmed/35449023 http://dx.doi.org/10.1186/s13098-022-00828-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liu, Xuekui Xu, Huihui Liu, Ying Yang, Manqing Xu, Wei Geng, Houfa Liang, Jun Lifestyle in adulthood can modify the causal relationship between BMI and islet function: using Mendelian randomization analysis |
title | Lifestyle in adulthood can modify the causal relationship between BMI and islet function: using Mendelian randomization analysis |
title_full | Lifestyle in adulthood can modify the causal relationship between BMI and islet function: using Mendelian randomization analysis |
title_fullStr | Lifestyle in adulthood can modify the causal relationship between BMI and islet function: using Mendelian randomization analysis |
title_full_unstemmed | Lifestyle in adulthood can modify the causal relationship between BMI and islet function: using Mendelian randomization analysis |
title_short | Lifestyle in adulthood can modify the causal relationship between BMI and islet function: using Mendelian randomization analysis |
title_sort | lifestyle in adulthood can modify the causal relationship between bmi and islet function: using mendelian randomization analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022321/ https://www.ncbi.nlm.nih.gov/pubmed/35449023 http://dx.doi.org/10.1186/s13098-022-00828-7 |
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