The association between gut microbiota and resting metabolic rate in overweight/obese women: a case-control study

Sanaz Mehranfar; Samira Tarashi; Sara Hajishizari; Sara Ahmadi Badi; Mir Saeed Yekaninejad; Cain C T Clark; Atiyyeh Motahhary; Shahin Jamili; Seyed Davar Siadat; Khadijeh Mirzaei

doi:10.1007/s40200-023-01368-1

The association between gut microbiota and resting metabolic rate in overweight/obese women: a case-control study

Sanaz Mehranfar, Samira Tarashi, Sara Hajishizari, Sara Ahmadi Badi, Mir Saeed Yekaninejad, Cain C T Clark, Atiyyeh Motahhary, Shahin Jamili, Seyed Davar Siadat, Khadijeh Mirzaei

Centre for Healthcare and Communities

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Purpose: When examining the underlying processes of obesity, evaluation of gut flora and energy homeostasis can be crucial since disruption of the normal gut microbiota community and energy imbalances are significant factors in the development of obesity. Therefore, this study aimed to compare the relative abundance of important obesity modulator gut microbiota (including Firmicutes, Bacteroidetes, Bifidobactrium spp., Lactobacillus spp., Bacteroides fragilis, Faecalibacterium prausnitzii, Akkermansia muciniphila, and Escherichia coli) in fecal samples of normometabilic and hypometabolic overweight/obese individuals. Methods: This matched case–control study conducted on 36 healthy women aged 18–50 years old. An indirect calorimeter and impedance body analyzer were used to assess resting metabolic rate (RMR) and body composition, respectively. Dietary intake and physical activity were assessed using questionnaires. To determine the abundance of the abovementioned gut microbiota, quantitative polymerase chain reaction (qPCR) method was performed. Moreover, ELISA kits were used to assess leptin, ghrelin, and insulin hormones. Results: The results highlighted higher load of Firmicutes (p = 0.02), F. prausnitzii (p < 0.001), and B. fragilis (p = 0.02) in the normometabolic individuals compared to the hypometabolic ones. Besides, the positive correlation between the abundance of Firmicutes (β = 7.76 × 10 ^–1, p = 0.01), F. prausnitzii (β = 1.29 × 10 ^–5, p = 0.01), and B. fragilis (β = 4.13 × 10 ^–6, p = 0.04) with the RMR have been shown. Whereas the abundance of Bacteroidetes, A. muciniphila, Lactobacillus spp., Bifidobactrium spp., and E. coli showed no significant difference (p > 0.05) and no significant correlation with the RMR except Lactobacillus spp. (β = 1.73 × 10 ^–4, p = 0.01). Conclusion: It seems that gut microbiota can be a potential target for refining host energy homeostasis and treating obesity and its consequences.

Original language	English
Pages (from-to)	931-941
Number of pages	11
Journal	Journal of Diabetes and Metabolic Disorders
Volume	23
Issue number	1
Early online date	30 Dec 2023
DOIs	https://doi.org/10.1007/s40200-023-01368-1
Publication status	Published - Jun 2024

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to Tehran University of Medical Sciences 2023.

Funder

This work was supported by the Tehran University of Medical Sciences, (grant number 41917-161-01-98).

Funding

This work was supported by the Tehran University of Medical Sciences, (grant number 41917-161-01-98).

Funders	Funder number
Tehran University of Medical Sciences	41917-161-01-98

Keywords

Microbiome
Metabolism
Resting Metabolic Rate
Energy
Obesity

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s40200-023-01368-1

Cite this

Mehranfar, S., Tarashi, S., Hajishizari, S., Badi, S. A., Yekaninejad, M. S., Clark, C. C. T., Motahhary, A., Jamili, S., Siadat, S. D., & Mirzaei, K. (2024). The association between gut microbiota and resting metabolic rate in overweight/obese women: a case-control study. Journal of Diabetes and Metabolic Disorders, 23(1), 931-941. https://doi.org/10.1007/s40200-023-01368-1

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title = "The association between gut microbiota and resting metabolic rate in overweight/obese women: a case-control study",

abstract = "Purpose: When examining the underlying processes of obesity, evaluation of gut flora and energy homeostasis can be crucial since disruption of the normal gut microbiota community and energy imbalances are significant factors in the development of obesity. Therefore, this study aimed to compare the relative abundance of important obesity modulator gut microbiota (including Firmicutes, Bacteroidetes, Bifidobactrium spp., Lactobacillus spp., Bacteroides fragilis, Faecalibacterium prausnitzii, Akkermansia muciniphila, and Escherichia coli) in fecal samples of normometabilic and hypometabolic overweight/obese individuals. Methods: This matched case–control study conducted on 36 healthy women aged 18–50 years old. An indirect calorimeter and impedance body analyzer were used to assess resting metabolic rate (RMR) and body composition, respectively. Dietary intake and physical activity were assessed using questionnaires. To determine the abundance of the abovementioned gut microbiota, quantitative polymerase chain reaction (qPCR) method was performed. Moreover, ELISA kits were used to assess leptin, ghrelin, and insulin hormones. Results: The results highlighted higher load of Firmicutes (p = 0.02), F. prausnitzii (p < 0.001), and B. fragilis (p = 0.02) in the normometabolic individuals compared to the hypometabolic ones. Besides, the positive correlation between the abundance of Firmicutes (β = 7.76 × 10 –1, p = 0.01), F. prausnitzii (β = 1.29 × 10 –5, p = 0.01), and B. fragilis (β = 4.13 × 10 –6, p = 0.04) with the RMR have been shown. Whereas the abundance of Bacteroidetes, A. muciniphila, Lactobacillus spp., Bifidobactrium spp., and E. coli showed no significant difference (p > 0.05) and no significant correlation with the RMR except Lactobacillus spp. (β = 1.73 × 10 –4, p = 0.01). Conclusion: It seems that gut microbiota can be a potential target for refining host energy homeostasis and treating obesity and its consequences.",

keywords = "Microbiome, Metabolism, Resting Metabolic Rate, Energy, Obesity",

author = "Sanaz Mehranfar and Samira Tarashi and Sara Hajishizari and Badi, {Sara Ahmadi} and Yekaninejad, {Mir Saeed} and Clark, {Cain C T} and Atiyyeh Motahhary and Shahin Jamili and Siadat, {Seyed Davar} and Khadijeh Mirzaei",

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doi = "10.1007/s40200-023-01368-1",

language = "English",

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T1 - The association between gut microbiota and resting metabolic rate in overweight/obese women

T2 - a case-control study

AU - Mehranfar, Sanaz

AU - Tarashi, Samira

AU - Hajishizari, Sara

AU - Badi, Sara Ahmadi

AU - Yekaninejad, Mir Saeed

AU - Clark, Cain C T

AU - Motahhary, Atiyyeh

AU - Jamili, Shahin

AU - Siadat, Seyed Davar

AU - Mirzaei, Khadijeh

PY - 2024/6

Y1 - 2024/6

N2 - Purpose: When examining the underlying processes of obesity, evaluation of gut flora and energy homeostasis can be crucial since disruption of the normal gut microbiota community and energy imbalances are significant factors in the development of obesity. Therefore, this study aimed to compare the relative abundance of important obesity modulator gut microbiota (including Firmicutes, Bacteroidetes, Bifidobactrium spp., Lactobacillus spp., Bacteroides fragilis, Faecalibacterium prausnitzii, Akkermansia muciniphila, and Escherichia coli) in fecal samples of normometabilic and hypometabolic overweight/obese individuals. Methods: This matched case–control study conducted on 36 healthy women aged 18–50 years old. An indirect calorimeter and impedance body analyzer were used to assess resting metabolic rate (RMR) and body composition, respectively. Dietary intake and physical activity were assessed using questionnaires. To determine the abundance of the abovementioned gut microbiota, quantitative polymerase chain reaction (qPCR) method was performed. Moreover, ELISA kits were used to assess leptin, ghrelin, and insulin hormones. Results: The results highlighted higher load of Firmicutes (p = 0.02), F. prausnitzii (p < 0.001), and B. fragilis (p = 0.02) in the normometabolic individuals compared to the hypometabolic ones. Besides, the positive correlation between the abundance of Firmicutes (β = 7.76 × 10 –1, p = 0.01), F. prausnitzii (β = 1.29 × 10 –5, p = 0.01), and B. fragilis (β = 4.13 × 10 –6, p = 0.04) with the RMR have been shown. Whereas the abundance of Bacteroidetes, A. muciniphila, Lactobacillus spp., Bifidobactrium spp., and E. coli showed no significant difference (p > 0.05) and no significant correlation with the RMR except Lactobacillus spp. (β = 1.73 × 10 –4, p = 0.01). Conclusion: It seems that gut microbiota can be a potential target for refining host energy homeostasis and treating obesity and its consequences.

AB - Purpose: When examining the underlying processes of obesity, evaluation of gut flora and energy homeostasis can be crucial since disruption of the normal gut microbiota community and energy imbalances are significant factors in the development of obesity. Therefore, this study aimed to compare the relative abundance of important obesity modulator gut microbiota (including Firmicutes, Bacteroidetes, Bifidobactrium spp., Lactobacillus spp., Bacteroides fragilis, Faecalibacterium prausnitzii, Akkermansia muciniphila, and Escherichia coli) in fecal samples of normometabilic and hypometabolic overweight/obese individuals. Methods: This matched case–control study conducted on 36 healthy women aged 18–50 years old. An indirect calorimeter and impedance body analyzer were used to assess resting metabolic rate (RMR) and body composition, respectively. Dietary intake and physical activity were assessed using questionnaires. To determine the abundance of the abovementioned gut microbiota, quantitative polymerase chain reaction (qPCR) method was performed. Moreover, ELISA kits were used to assess leptin, ghrelin, and insulin hormones. Results: The results highlighted higher load of Firmicutes (p = 0.02), F. prausnitzii (p < 0.001), and B. fragilis (p = 0.02) in the normometabolic individuals compared to the hypometabolic ones. Besides, the positive correlation between the abundance of Firmicutes (β = 7.76 × 10 –1, p = 0.01), F. prausnitzii (β = 1.29 × 10 –5, p = 0.01), and B. fragilis (β = 4.13 × 10 –6, p = 0.04) with the RMR have been shown. Whereas the abundance of Bacteroidetes, A. muciniphila, Lactobacillus spp., Bifidobactrium spp., and E. coli showed no significant difference (p > 0.05) and no significant correlation with the RMR except Lactobacillus spp. (β = 1.73 × 10 –4, p = 0.01). Conclusion: It seems that gut microbiota can be a potential target for refining host energy homeostasis and treating obesity and its consequences.

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KW - Metabolism

KW - Resting Metabolic Rate

KW - Energy

KW - Obesity

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The association between gut microbiota and resting metabolic rate in overweight/obese women: a case-control study

Abstract

Bibliographical note

Funder

Funding

Keywords

UN SDGs

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