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Associations Between Cannabis Use, Abdominal Fat Phenotypes and Insulin Traits
BACKGROUND: General obesity has been linked to dysregulation of the endocannabinoid system in humans. However, there is a lack of studies on the relationship between cannabis use and specific abdominal fat phenotypes. The aim was to investigate the associations between cannabis use and magnetic reso...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elmer Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295553/ https://www.ncbi.nlm.nih.gov/pubmed/32587654 http://dx.doi.org/10.14740/jocmr4165 |
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author | Stuart, Charlotte E. Ko, Juyeon Alarcon Ramos, Gisselle C. Modesto, Andre E. Cho, Jaelim Petrov, Maxim S. |
author_facet | Stuart, Charlotte E. Ko, Juyeon Alarcon Ramos, Gisselle C. Modesto, Andre E. Cho, Jaelim Petrov, Maxim S. |
author_sort | Stuart, Charlotte E. |
collection | PubMed |
description | BACKGROUND: General obesity has been linked to dysregulation of the endocannabinoid system in humans. However, there is a lack of studies on the relationship between cannabis use and specific abdominal fat phenotypes. The aim was to investigate the associations between cannabis use and magnetic resonance imaging-derived fat phenotypes, as well as indices of insulin sensitivity and insulin secretion. METHODS: In this cross-sectional study, magnetic resonance imaging was used to quantify subcutaneous fat volume (SFV), visceral fat volume (VFV), intra-hepatic fat deposition (IHFD), intra-pancreatic fat deposition (IPFD) and skeletal muscle fat deposition (SMFD) by two independent observers. Insulin sensitivity was determined based on HOMA-IS, Raynaud index and Matsuda index, whereas insulin secretion was determined based on HOMA-β, insulinogenic index 30’ and insulinogenic index 60’. A validated questionnaire was used to ascertain participants’ cannabis use. Linear regression models were constructed, adjusting for demographics, glycated hemoglobin, physical activity, tobacco smoking and alcohol consumption. RESULTS: A total of 120 individuals were included. Cannabis use explained 9.2% of variance in IHFD, 4.4% in SMFD, 3.4% in VFV, 0.4% in SFV and 0.2% in IPFD. Regular cannabis users had significantly greater IHFD compared with never users, in both the unadjusted (P = 0.002) and all adjusted (P = 0.002; P = 0.008) analyses. The other fat phenotypes did not differ significantly between either regular or non-regular users compared with never users. Regular cannabis users had significantly greater insulin secretion (as defined by the insulinogenic index 60’) compared with never users, in both the unadjusted (P = 0.049) and all adjusted (P = 0.003; P = 0.004) analyses. Cannabis use explained 20.3% of variance in the insulinogenic index 60’, but was not significantly associated with the other indices of insulin secretion. There were no significant differences in indices of insulin sensitivity in either regular or non-regular cannabis users compared with never users. CONCLUSION: Regular cannabis use may be a risk factor for non-alcoholic fatty liver disease (but not IPFD) and may alter the neuromodulation of insulin secretion. Further investigations are now warranted to elucidate the mechanisms underlying these associations. |
format | Online Article Text |
id | pubmed-7295553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elmer Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72955532020-06-24 Associations Between Cannabis Use, Abdominal Fat Phenotypes and Insulin Traits Stuart, Charlotte E. Ko, Juyeon Alarcon Ramos, Gisselle C. Modesto, Andre E. Cho, Jaelim Petrov, Maxim S. J Clin Med Res Original Article BACKGROUND: General obesity has been linked to dysregulation of the endocannabinoid system in humans. However, there is a lack of studies on the relationship between cannabis use and specific abdominal fat phenotypes. The aim was to investigate the associations between cannabis use and magnetic resonance imaging-derived fat phenotypes, as well as indices of insulin sensitivity and insulin secretion. METHODS: In this cross-sectional study, magnetic resonance imaging was used to quantify subcutaneous fat volume (SFV), visceral fat volume (VFV), intra-hepatic fat deposition (IHFD), intra-pancreatic fat deposition (IPFD) and skeletal muscle fat deposition (SMFD) by two independent observers. Insulin sensitivity was determined based on HOMA-IS, Raynaud index and Matsuda index, whereas insulin secretion was determined based on HOMA-β, insulinogenic index 30’ and insulinogenic index 60’. A validated questionnaire was used to ascertain participants’ cannabis use. Linear regression models were constructed, adjusting for demographics, glycated hemoglobin, physical activity, tobacco smoking and alcohol consumption. RESULTS: A total of 120 individuals were included. Cannabis use explained 9.2% of variance in IHFD, 4.4% in SMFD, 3.4% in VFV, 0.4% in SFV and 0.2% in IPFD. Regular cannabis users had significantly greater IHFD compared with never users, in both the unadjusted (P = 0.002) and all adjusted (P = 0.002; P = 0.008) analyses. The other fat phenotypes did not differ significantly between either regular or non-regular users compared with never users. Regular cannabis users had significantly greater insulin secretion (as defined by the insulinogenic index 60’) compared with never users, in both the unadjusted (P = 0.049) and all adjusted (P = 0.003; P = 0.004) analyses. Cannabis use explained 20.3% of variance in the insulinogenic index 60’, but was not significantly associated with the other indices of insulin secretion. There were no significant differences in indices of insulin sensitivity in either regular or non-regular cannabis users compared with never users. CONCLUSION: Regular cannabis use may be a risk factor for non-alcoholic fatty liver disease (but not IPFD) and may alter the neuromodulation of insulin secretion. Further investigations are now warranted to elucidate the mechanisms underlying these associations. Elmer Press 2020-06 2020-06-04 /pmc/articles/PMC7295553/ /pubmed/32587654 http://dx.doi.org/10.14740/jocmr4165 Text en Copyright 2020, Stuart et al. http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Non-Commercial 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Stuart, Charlotte E. Ko, Juyeon Alarcon Ramos, Gisselle C. Modesto, Andre E. Cho, Jaelim Petrov, Maxim S. Associations Between Cannabis Use, Abdominal Fat Phenotypes and Insulin Traits |
title | Associations Between Cannabis Use, Abdominal Fat Phenotypes and Insulin Traits |
title_full | Associations Between Cannabis Use, Abdominal Fat Phenotypes and Insulin Traits |
title_fullStr | Associations Between Cannabis Use, Abdominal Fat Phenotypes and Insulin Traits |
title_full_unstemmed | Associations Between Cannabis Use, Abdominal Fat Phenotypes and Insulin Traits |
title_short | Associations Between Cannabis Use, Abdominal Fat Phenotypes and Insulin Traits |
title_sort | associations between cannabis use, abdominal fat phenotypes and insulin traits |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295553/ https://www.ncbi.nlm.nih.gov/pubmed/32587654 http://dx.doi.org/10.14740/jocmr4165 |
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