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Factors related to hypermetabolism in individuals with type 2 diabetes mellitus and non-alcoholic fatty liver disease

Considering the progressive prevalence and co-occurrence of type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD), as well as the current evidence suggesting the elevated levels of basal metabolic rate (BMR) among these individuals, the present study aimed to identify factors...

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Autores principales: Mansour, Asieh, Motamed, Soudabe, Hekmatdoost, Azita, Karimi, Sara, Mohajeri-Tehrani, Mohammad Reza, Abdollahi, Mohammad, Jelodar, Reihane, Sajjadi-Jazi, Sayed Mahmoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985614/
https://www.ncbi.nlm.nih.gov/pubmed/36871124
http://dx.doi.org/10.1038/s41598-023-30945-w
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author Mansour, Asieh
Motamed, Soudabe
Hekmatdoost, Azita
Karimi, Sara
Mohajeri-Tehrani, Mohammad Reza
Abdollahi, Mohammad
Jelodar, Reihane
Sajjadi-Jazi, Sayed Mahmoud
author_facet Mansour, Asieh
Motamed, Soudabe
Hekmatdoost, Azita
Karimi, Sara
Mohajeri-Tehrani, Mohammad Reza
Abdollahi, Mohammad
Jelodar, Reihane
Sajjadi-Jazi, Sayed Mahmoud
author_sort Mansour, Asieh
collection PubMed
description Considering the progressive prevalence and co-occurrence of type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD), as well as the current evidence suggesting the elevated levels of basal metabolic rate (BMR) among these individuals, the present study aimed to identify factors determining hypermetabolism in such subjects. This cross sectional study was conducted in 30 to 53-year-old individuals with concurrent T2DM and NAFLD (controlled attenuation parameter score ≥ 260 dB/m). Resting energy expenditure (REE) was determined by an indirect calorimetry device. Hypermetabolism was defined as an elevated measured REE > 110% of the predicted REE. The multivariate logistic regression test was used for detecting factors associated with hypermetabolism. Between September, 2017, and March, 2018, a total of 95 eligible participants (64.40% male) with both T2DM and NAFLD were included, while 32.63% of them were classified as hypermetabolic. Overall, the mean recruitment age ± standard deviation and median (interquartile range) body mass index were 44.69 ± 5.47 years and 30.20 (27.80–33.30) kg/m(2), respectively. Demographic, anthropometric and biochemical variables did not vary significantly across two groups except for total body water, low-density lipoprotein cholesterol and dipeptidyl peptidase 4 (DPP-4) inhibitors (p < 0.05). According to the results of multivariable logistic regression analyses, hypermetabolism had a positive association with adiponectin (odds ratio [OR] 1.167, 95% confidence interval [CI] 1.015–1.342, p = 0.030), physical activity (OR 1.134, 95% CI 1.002–1.284, p = 0.046), alanine transaminase (OR 1.062, 95% CI 1.006–1.122, p = 0.031) and diastolic blood pressure (OR 1.067, 95% CI 1.010–1.127, p = 0.021). However, fat free mass was inversely related to hypermetabolism (OR 0.935, 95% CI 0.883–0.991, p = 0.023). Adiponectin, alanine transaminase, physical activity, diastolic blood pressure and fat free mass were independently associated with hypermetabolism in subjects with NAFLD and T2DM.
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spelling pubmed-99856142023-03-06 Factors related to hypermetabolism in individuals with type 2 diabetes mellitus and non-alcoholic fatty liver disease Mansour, Asieh Motamed, Soudabe Hekmatdoost, Azita Karimi, Sara Mohajeri-Tehrani, Mohammad Reza Abdollahi, Mohammad Jelodar, Reihane Sajjadi-Jazi, Sayed Mahmoud Sci Rep Article Considering the progressive prevalence and co-occurrence of type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD), as well as the current evidence suggesting the elevated levels of basal metabolic rate (BMR) among these individuals, the present study aimed to identify factors determining hypermetabolism in such subjects. This cross sectional study was conducted in 30 to 53-year-old individuals with concurrent T2DM and NAFLD (controlled attenuation parameter score ≥ 260 dB/m). Resting energy expenditure (REE) was determined by an indirect calorimetry device. Hypermetabolism was defined as an elevated measured REE > 110% of the predicted REE. The multivariate logistic regression test was used for detecting factors associated with hypermetabolism. Between September, 2017, and March, 2018, a total of 95 eligible participants (64.40% male) with both T2DM and NAFLD were included, while 32.63% of them were classified as hypermetabolic. Overall, the mean recruitment age ± standard deviation and median (interquartile range) body mass index were 44.69 ± 5.47 years and 30.20 (27.80–33.30) kg/m(2), respectively. Demographic, anthropometric and biochemical variables did not vary significantly across two groups except for total body water, low-density lipoprotein cholesterol and dipeptidyl peptidase 4 (DPP-4) inhibitors (p < 0.05). According to the results of multivariable logistic regression analyses, hypermetabolism had a positive association with adiponectin (odds ratio [OR] 1.167, 95% confidence interval [CI] 1.015–1.342, p = 0.030), physical activity (OR 1.134, 95% CI 1.002–1.284, p = 0.046), alanine transaminase (OR 1.062, 95% CI 1.006–1.122, p = 0.031) and diastolic blood pressure (OR 1.067, 95% CI 1.010–1.127, p = 0.021). However, fat free mass was inversely related to hypermetabolism (OR 0.935, 95% CI 0.883–0.991, p = 0.023). Adiponectin, alanine transaminase, physical activity, diastolic blood pressure and fat free mass were independently associated with hypermetabolism in subjects with NAFLD and T2DM. Nature Publishing Group UK 2023-03-04 /pmc/articles/PMC9985614/ /pubmed/36871124 http://dx.doi.org/10.1038/s41598-023-30945-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Mansour, Asieh
Motamed, Soudabe
Hekmatdoost, Azita
Karimi, Sara
Mohajeri-Tehrani, Mohammad Reza
Abdollahi, Mohammad
Jelodar, Reihane
Sajjadi-Jazi, Sayed Mahmoud
Factors related to hypermetabolism in individuals with type 2 diabetes mellitus and non-alcoholic fatty liver disease
title Factors related to hypermetabolism in individuals with type 2 diabetes mellitus and non-alcoholic fatty liver disease
title_full Factors related to hypermetabolism in individuals with type 2 diabetes mellitus and non-alcoholic fatty liver disease
title_fullStr Factors related to hypermetabolism in individuals with type 2 diabetes mellitus and non-alcoholic fatty liver disease
title_full_unstemmed Factors related to hypermetabolism in individuals with type 2 diabetes mellitus and non-alcoholic fatty liver disease
title_short Factors related to hypermetabolism in individuals with type 2 diabetes mellitus and non-alcoholic fatty liver disease
title_sort factors related to hypermetabolism in individuals with type 2 diabetes mellitus and non-alcoholic fatty liver disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985614/
https://www.ncbi.nlm.nih.gov/pubmed/36871124
http://dx.doi.org/10.1038/s41598-023-30945-w
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