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The effect of glucose-dependent insulinotropic polypeptide (GIP) variants on visceral fat accumulation in Han Chinese populations
OBJECTIVES: We aim to validate the effects of glucose-dependent insulinotropic polypeptide (GIP) on fat distribution and glucose metabolism in Han Chinese populations. METHODS: We genotyped six tag single-nucleotide polymorphisms (SNPs) of GIP and four tag SNPs of glucose-dependent insulinotropic po...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5518809/ https://www.ncbi.nlm.nih.gov/pubmed/28530680 http://dx.doi.org/10.1038/nutd.2017.28 |
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author | Wang, T Ma, X Tang, T Higuchi, K Peng, D Zhang, R Chen, M Yan, J Wang, S Yan, D He, Z Jiang, F Bao, Y Jia, W Ishida, K Hu, C |
author_facet | Wang, T Ma, X Tang, T Higuchi, K Peng, D Zhang, R Chen, M Yan, J Wang, S Yan, D He, Z Jiang, F Bao, Y Jia, W Ishida, K Hu, C |
author_sort | Wang, T |
collection | PubMed |
description | OBJECTIVES: We aim to validate the effects of glucose-dependent insulinotropic polypeptide (GIP) on fat distribution and glucose metabolism in Han Chinese populations. METHODS: We genotyped six tag single-nucleotide polymorphisms (SNPs) of GIP and four tag SNPs of glucose-dependent insulinotropic polypeptide receptor (GIPR) among 2884 community-based individuals from Han Chinese populations. Linear analysis was applied to test the associations of these variants with visceral fat area (VFA) and subcutaneous fat area (SFA) quantified by magnetic resonance imaging as well as glucose-related traits. RESULTS: We found that the C allele of rs4794008 of GIP tended to increase the VFA and the VFA/SFA ratio in all subjects (P=0.050 and P=0.054, respectively), and rs4794008 was associated with the VFA/SFA ratio in males (P=0.041) after adjusting for the BMI. The VFA-increasing allele of rs4794008 was not related to any glucose metabolism traits. However, rs9904288 of GIP was associated with the SFA in males as well as glucose-related traits in all subjects (P range, 0.004–0.049), and the GIPR variants displayed associations with both fat- and glucose-related traits. CONCLUSIONS: The results could provide the evidence that GIP might modulate visceral fat accumulation via incretin function or independent of incretin. |
format | Online Article Text |
id | pubmed-5518809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-55188092017-07-24 The effect of glucose-dependent insulinotropic polypeptide (GIP) variants on visceral fat accumulation in Han Chinese populations Wang, T Ma, X Tang, T Higuchi, K Peng, D Zhang, R Chen, M Yan, J Wang, S Yan, D He, Z Jiang, F Bao, Y Jia, W Ishida, K Hu, C Nutr Diabetes Original Article OBJECTIVES: We aim to validate the effects of glucose-dependent insulinotropic polypeptide (GIP) on fat distribution and glucose metabolism in Han Chinese populations. METHODS: We genotyped six tag single-nucleotide polymorphisms (SNPs) of GIP and four tag SNPs of glucose-dependent insulinotropic polypeptide receptor (GIPR) among 2884 community-based individuals from Han Chinese populations. Linear analysis was applied to test the associations of these variants with visceral fat area (VFA) and subcutaneous fat area (SFA) quantified by magnetic resonance imaging as well as glucose-related traits. RESULTS: We found that the C allele of rs4794008 of GIP tended to increase the VFA and the VFA/SFA ratio in all subjects (P=0.050 and P=0.054, respectively), and rs4794008 was associated with the VFA/SFA ratio in males (P=0.041) after adjusting for the BMI. The VFA-increasing allele of rs4794008 was not related to any glucose metabolism traits. However, rs9904288 of GIP was associated with the SFA in males as well as glucose-related traits in all subjects (P range, 0.004–0.049), and the GIPR variants displayed associations with both fat- and glucose-related traits. CONCLUSIONS: The results could provide the evidence that GIP might modulate visceral fat accumulation via incretin function or independent of incretin. Nature Publishing Group 2017-05 2017-05-22 /pmc/articles/PMC5518809/ /pubmed/28530680 http://dx.doi.org/10.1038/nutd.2017.28 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Article Wang, T Ma, X Tang, T Higuchi, K Peng, D Zhang, R Chen, M Yan, J Wang, S Yan, D He, Z Jiang, F Bao, Y Jia, W Ishida, K Hu, C The effect of glucose-dependent insulinotropic polypeptide (GIP) variants on visceral fat accumulation in Han Chinese populations |
title | The effect of glucose-dependent insulinotropic polypeptide (GIP) variants on visceral fat accumulation in Han Chinese populations |
title_full | The effect of glucose-dependent insulinotropic polypeptide (GIP) variants on visceral fat accumulation in Han Chinese populations |
title_fullStr | The effect of glucose-dependent insulinotropic polypeptide (GIP) variants on visceral fat accumulation in Han Chinese populations |
title_full_unstemmed | The effect of glucose-dependent insulinotropic polypeptide (GIP) variants on visceral fat accumulation in Han Chinese populations |
title_short | The effect of glucose-dependent insulinotropic polypeptide (GIP) variants on visceral fat accumulation in Han Chinese populations |
title_sort | effect of glucose-dependent insulinotropic polypeptide (gip) variants on visceral fat accumulation in han chinese populations |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5518809/ https://www.ncbi.nlm.nih.gov/pubmed/28530680 http://dx.doi.org/10.1038/nutd.2017.28 |
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