Abstract
Objective
The prevalence of obesity is growing globally. Adiposity increases the risk for metabolic syndrome, type 2 diabetes and cardiovascular disease. Adipose tissue distribution influences systemic metabolism and impacts metabolic disease risk. The link between sexual dimorphisms of adiposity and metabolism is poorly defined. We hypothesise that depot-specific adipose tissue mitochondrial function contributes to the sexual dimorphism of metabolic flexibility in obesity.
Methods
Male and female mice fed high fat diet (HFD) or standard diet (STD) from 8–18 weeks of age underwent whole animal calorimetry and high-resolution mitochondrial respirometry analysis on adipose tissue depots. To determine translatability we used RT-qPCR to examine key brown adipocyte-associated gene expression: peroxisome proliferator-activated receptor co-activator 1α, Uncoupling protein 1 and cell death inducing DFFA like effector a in brown adipose tissue (BAT) and subcutaneous adipose tissue (sWAT) of 18-week-old mice and sWAT from human volunteers.
Results
Male mice exhibited greater weight gain compared to female mice when challenged with HFD. Relative to increased body mass, the adipose to body weight ratio for BAT and sWAT depots was increased in HFD-fed males compared to female HFD-fed mice. Oxygen consumption, energy expenditure, respiratory exchange ratio and food consumption did not differ between males and females fed HFD. BAT mitochondria from obese females showed increased Complex I & II respiration and maximal respiration compared to lean females whereas obese males did not exhibit adaptive mitochondrial BAT respiration. Sexual dimorphism in BAT-associated gene expression in sWAT was also associated with Body Mass Index in humans.
Conclusions
We show that sexual dimorphism of weight gain is reflected in mitochondrial respiration analysis. Female mice have increased metabolic flexibility to adapt to changes in energy intake by regulating energy expenditure through increased complex II and maximal mitochondrial respiration within BAT when HFD challenged and increased proton leak in sWAT mitochondria.
Subject terms: Fat metabolism, Energy metabolism, Obesity, Homeostasis
Introduction
The prevalence of obesity, defined by a BMI of ≥30 and characterised by excess adiposity, is growing globally. Obesity perturbs numerous metabolic pathways [1] and increases the risk for metabolic syndrome, a combination of high waist circumference, circulating levels of triacylglycerols (TAGs) and low-density lipoprotein cholesterol, fasting hyperglycaemia and high blood pressure [2]. In turn, metabolic syndrome increases the risk of developing type 2 diabetes and cardiovascular disease [3].
Adipose tissue depots exhibit distinct molecular and functional characteristics. These depots vary in size, ranging from 5% to 60% of total body weight [4]. White adipose tissue (WAT) is the primary metabolic energy reserve, it synthesises and stores TAG when caloric consumption exceeds expenditure. There are two primary and distinct locations of WAT within mammals: subcutaneous (sWAT) and visceral (vWAT). Distribution of WAT influences the risk of metabolic disease [5]. vWAT is located within the abdominal cavity [6] and is associated with a higher risk of metabolic disease and type 2 diabetes in both men and women [7, 8]. sWAT is a subdermal depot and its role in metabolic disease is still poorly defined [9]. In addition, brown adipose tissue (BAT) is primarily located in the interscapular region of mice, and the neck in humans, and functions to generate heat, in a process known as non-shivering thermogenesis, in response to cold [10]. BAT converts fatty acids into measurable changes in heat production through the futile cycling of the electron transport chain (ETC) mediated by Uncoupling Protein 1 (UCP1) [11]. Evidence suggests active BAT may protect against obesity and cardiometabolic disease [12]. Distribution of the three adipose depots confer varying risks for metabolic disorders [5].
There are fundamental sex-specific differences in adipose tissue distribution and adiposity, which may translate to differences in the prevalence of metabolic syndrome and type 2 diabetes [13, 14]. Differences in waist circumference between sexes has been linked to increased cardiovascular risk [15]. Although women have ~10% higher body fat compared to men [16], premenopausal women have fewer incidents of obesity related metabolic disorders than men [17]. Adipose distribution in women is characterised by more sWAT and less vWAT compared with men [18, 19]. Fundamental systemic metabolic characteristics exhibit sexual dimorphism. Women have lower absolute energy expenditure compared with men [20, 21] and men have higher fasting glucose concentrations [22]. In mouse studies male mice rapidly increase body mass when high fat challenged [23], but the mechanisms for the sex differences in weight gain are unknown [24]. Here, we define key metabolic differences between the sexes which may contribute to the resistance to rapid weight gain observed in female mice. We find novel sex-specific differences in the mitochondrial metabolism and function of BAT, sWAT and vWAT in mice in response to a high fat feeding challenge.
Materials and methods
Animals and diets
All experiments and procedures involving live animals were performed in accordance with Home Office UK regulation - Animals (Scientific Procedures) Act 1986. Mice were bred from C57BL6/N mice at the University of Leeds. Animals had access to food and water ab libitum on a controlled 12-h light/dark cycle in a pathogen free facility. Mice were group housed in cages of five with a dome. All mice were fed standard diet (STD) (Special Diet Services 8072; 3.592 kcal/g) up to 8 weeks of age, at 8 weeks half of the mice were randomly assigned to high fat diet (HFD) 60% fat diet (F3282, Datesand Ltd, Manchester UK; 5.49 kcal/g) for 10 weeks.
Comprehensive lab animal monitoring system (CLAMS)
Whole animal calorimetry was performed by singly housing mice in a Comprehensive Laboratory Animal Monitoring System (CLAMS; Columbus Instruments). All mice had a minimum acclimation period of 72 h before experimental recording began for 24 h. Within CLAMS oxygen consumption, carbon dioxide production, respiratory exchange ratio (RER), food intake and activity were recorded.
High-resolution tissue respirometry
Mice were sacrificed using cervical dislocation. Interscapular BAT (iBAT), subcutaneous inguinal WAT (iWAT) and visceral epididymal WAT (eWAT) were placed into biopsy preservation solution for high-resolution respirometry (BIOPS) [25]. After dissection of both right and left iBAT, iWAT and eWAT pads under a dissecting microscope, tissue was pat dried and weighed. Tissue was permeabilized with freshly prepared saponin (50 μg mL−1) and washed in mitochondrial respiration medium, MiR05 [26]. Using Oxygraph-O2k high resolution respirometry (OROBOROS) we measured respiration in tissue slices of the three adipose depots. Complex I-mediated respiration was measured with glutamate (10 mM) and malate (1 mM) and then again in the presence of ADP (2.5 mM). Cytochrome c (Cytc; 10 μM) ensured saponin permeabilization did not affect the integrity of the outer mitochondrial membrane. The addition of succinate (10 mM) provided a measure of complex I and II-supported oxidative phosphorylation. In BAT and sWAT guanosine 5′-diphosphate sodium salt (GDP) was titrated in 1 mM at a time to determine respiration rates not contributed to by UCP1. GDP titration was not assessed in eWAT due to low UCP1 expression in this tissue. Maximal ETC capacity was assessed with a bolus of carbonyl cyanide m-chlorophenyl hydrazine (CCCP; 5 μM in DMSO). The addition of rotenone (0.5 μM), a complex I inhibitor, gave complex II-supported oxidative phosphorylation in isolation. Finally, antimycin A (12.5 μM), provided an estimate of non-mitochondrial (background) respiration that was subtracted as a correcting factor from all respiratory measurements. The respiratory control ratio (RCR) was calculated by dividing the respiration rate following ADP addition over the rate prior to ADP addition [27, 28].
Gene expression analysis
Total RNA extraction from iBAT and iWAT; cDNA conversion; and quantitative RT-PCR were performed according to published protocols [29]. All data were normalised to 18S rRNA and quantitative measures were obtained using the ΔΔCT method.
Human adipose tissue
Fifty patients undergoing routine de-novo pacemaker implantation at Leeds General Infirmary volunteered to participate in the study and provided written consent (Supplementary Table 1). Human sWAT biopsies were obtained prior to any instrumentation of the central circulation. Lidocaine was initially injected to anaesthetise the area and a small incision was made under the left clavicle. Immediately prior to creation of the pre-pectoral pocket for the generator above the pectoralis major, a portion of sWAT (~100 mg) was sampled and immediately snap frozen in liquid nitrogen. Following this, pacemaker procedures were otherwise completed routinely. There were no complications ascribed to the sampling procedure. The study is approved by the Leeds West Research Ethics Committee (11/YH/0291) and Leeds Teaching Hospitals Trust R&D committee (CD11/10015) and conforms to the Declaration of Helsinki.
Statistical analysis
Mass, respirometry and mRNA data were analysed using Prism 8 (version 8.3.0). Differences between groups were compared for statistical significance by ANOVA or two-tailed Student’s t test. CLAMS data analysis was performed using CalR [30]. ANCOVA with mass as a dependent variable was used to compare oxygen consumption, carbon dioxide production and energy expenditure. Linear regression using Pearson correlation was used when analysing the human mRNA data. Group variance was analysed with an F-test. Sample size was determined by power calculation. Data are expressed as mean ± standard error of the mean, P < 0.05 denoted significance.
Results
Male mice have increased body mass and impaired metabolic function compared to female mice when high fat diet challenged
We fed male and female mice HFD for 10 weeks, a commonly used model of obesity and insulin resistance [31]. There is no difference in the percent increase in body mass between the sexes before diet intervention (Fig. 1A). After 1 week of HFD feeding male mice had significantly increased body mass compared with STD fed male mice. Female mice fed HFD did not exhibit an increase in body mass compared with STD controls until 9 weeks of HFD feeding (Fig. 1A).
Eight-week-old male and female mice exhibit no significant difference in the percentage of body mass comprised of iBAT (Fig. 1B). In both sexes STD feeding does not significantly affect iBAT depot mass between 8 weeks and 18 weeks old (Fig. 1B). HFD increased iBAT mass in male mice compared to 8-week-old baseline mice and STD fed 18-week old male mice, this effect was not observed in female mice (Fig. 1B). Similar to iBAT, there was no significant difference in iWAT mass between 8 week old male and female mice (Fig. 1C). In both sexes STD feeding from 8 weeks to 18 weeks does not significantly affect iWAT depot mass (Fig. 1C). However, HFD feeding significantly increases percent body mass comprised of iWAT in both sexes (Fig. 1C). Male mice fed HFD have iWAT depots significantly greater in mass than iWAT depots from female mice fed HFD (Fig. 1C). Eight-week-old male mice had significantly higher eWAT mass compared to female mice (Fig. 1D). After 10 weeks of STD feeding both sexes had greater eWAT mass compared to 8 weeks of age (Fig. 1D). The increase in eWAT mass is further enhanced in both sexes by HFD feeding for 10 weeks (Fig. 1D).
Therefore, male mice fed HFD rapidly gain weight, in part through increased adipose tissue depot mass, compared to female mice. Increased body and adipose tissue mass corresponds to impaired glucose tolerance in male HFD fed mice (Supplementary Fig. 1). Increased adipose mass in males but not females could contribute to sex-specific glucose intolerance induced by HFD.
Age and diet have inverse effects on whole animal metabolic phenotype between sexes
Due to the rapid weight gain in male mice, we used whole body calorimetry to characterise the effects of HFD on systemic energy expenditure (Supplementary Table 2). Male mice fed STD have higher oxygen consumption and energy expenditure throughout a 24 h period compared to female STD fed mice (Fig. 2A, B). When fed HFD, males increase energy expenditure compared to STD fed male mice (Fig. 2B). HFD feeding of females did not affect energy expenditure when compared to STD chow fed mice (Fig. 2B). Ten weeks of STD feeding in female mice did not affect oxygen consumption or energy expenditure compared with 8 week baseline mice (Supplementary Fig. 2A, B). However energy expenditure and oxygen composition increases in male mice fed STD by 18 weeks compared to 8 week old male mice (Supplementary Fig. 2A, B).
Male and female mice have lower RER when fed HFD compared to their STD fed controls (Supplementary Fig. 3C). Both male and female mice fed HFD for 18 weeks had significantly reduced food intake in terms of food weight compared with STD fed animals (Fig. 2C). However due to the calorie-dense nature of the HFD, 18-week-old mice regardless of diet and sex, exhibit no difference in the total energy content (kcal) of food consumed (Fig. 2C).
Therefore, male mice have higher energy expenditure than female mice when fed STD and further increased energy expenditure when fed HFD. Both sexes fed HFD preferentially oxidise lipid as a fuel source and there is no difference in total food consumption regardless of diet or sex at 18 weeks of age. Although, there are behavioural changes resulting in decreased locomotor activity observed only in HFD fed male mice but not females (Supplementary Fig. 3A, B), this did not affect energy expenditure. These data indicate that the extreme weight gain phenotype in male mice fed HFD is not due to systemic metabolic differences.
Both diet and sex influence respiration of adipose tissue mitochondria
To investigate potential underlying mechanisms for sexual dimorphisms of adipose depot size and whole-body weight gain, we used high-resolution respirometry to investigate depot-specific adipose tissue mitochondrial function in iBAT, sWAT and eWAT.
Eight week old male and female mice showed no significant difference in mitochondrial respiration at complexes I and II in iBAT (Supplementary Fig. 4A). iBAT of male and female mice exhibited reduced flux through complex I independent of ADP stimulation, in response to HFD (Fig. 3A). BAT of female mice fed HFD exhibited greater respiration when complexes I and II were stimulated together, Ucp1 was inhibited with GDP, and when maximum uncoupled respiration and complex II flux in isolation were analysed compared to STD fed female mice. iBAT of Male mice did not exhibit this enhanced mitochondrial respiration response when challenged by HFD (Fig. 3A). Comparing complex I and II mitochondrial respiration in iBAT between 8-week-old mice and 18-week-old mice, there is a significant increase in mitochondrial respiration when both sexes were fed HFD (Supplementary Fig. 4A). When GDP is used to inhibit Ucp1 there is no sex-specific difference in the respiration of iBAT regardless of time and diet (Supplementary Fig. 4A). Mitochondrial respiration of iBAT from female mice fed HFD was significantly higher than respiration in iBAT from STD fed female mice when Ucp1 is inhibited with GDP. There is no significant difference in GDP inhibited respiration between male mice fed HFD and STD (Fig. 3A). RCR is used to measure the coupling efficiency of the ETC in the formation of ATP. In iBAT the RCR of male mice fed HFD increased compared to 8-week-old mice (Supplementary Fig. 4A). In contrast, Female mice do not exhibit this change in RCR in response to HFD challenge, as time and diet do not influence the RCR of female mice (Supplementary Fig. 4A; Fig. 3A).
In iWAT, sex, diet and age did not affect flux through mitochondrial ETC complexes (Fig. 3B; Supplementary Fig. 3B). However, iWAT from female STD fed mice has a higher RCR than iWAT from male STD fed mice (Fig. 3B). This indicates increased coupling efficiency of the ETC in the formation of ATP in female mice compared to male mice under STD conditions (Fig. 3B). Mitochondrial respiration in eWAT did not exhibit sexual dimorphism in mice fed STD (Fig. 3C). However, eWAT from male mice fed HFD had increased flux through complex I compared to female mice fed HFD (Fig. 3C). Male mice had significantly increased eWAT complex I and II respiration from 8-weeks to 18-weeks of age with both STD and HFD (Supplementary Fig. 4C). eWAT in 8-week-old female mice had increased coupling efficiency as determined by RCR compared to male 8-week-old mice, however this sexual dimorphism is not maintained by 18 weeks (Supplementary Fig. 3C).
These results indicate that HFD feeding impairs flux through the beginning of the electron transport chain (complex I) in the iBAT of both sexes. However, in response to HFD, female mice exhibit enhanced respiration throughout the ETC of iBAT (complex II, GDP, maximum respiration). An effect not observed in male mice in response to HFD challenge. A lower proportion of iBAT respiration in female mice is also accounted for by Ucp1 (GDP inhibited respiration). Diet, sex and time does not affect respiration in iWAT. However male mice have increased mitochondrial respiration in eWAT compared with females in response to HFD challenge.
Sex-specific differences in adipose tissue mitochondrial function correspond to the expression of brown adipose-associated genes
Sex-specific differences in the Ucp1 contribution to mitochondrial respiration were further evaluated by examining expression of key brown adipocyte-associated genes. We used RT-qPCR to analyse the expression of brown adipocyte-associated genes: peroxisome proliferator-activated receptor co-activator 1α (Pgc1α), Ucp1 and cell death inducing DFFA like effector a (Cidea) in iBAT and iWAT of 18-week-old mice. HFD-induced obesity decreases Pgc1α expression in iBAT of male mice, female mice were resistant to this effect (Fig. 4A). Sex and diet did not affect Pgc1α expression in iWAT (Fig. 4B). In both iBAT and iWAT Ucp1 expression is not significantly different between sex or diet (Fig. 4A, B). Cidea expression is decreased in the iBAT of female mice fed HFD compared with females fed STD. Whereas the expression of Cidea in males fed HFD is unchanged when compared with male mice fed STD (Fig. 4A). Contrastingly, expression of Cidea in the iWAT of male mice fed HFD was significantly lower than in the iWAT of STD fed male mice. There was no significant effect of diet on Cidea expression in the iWAT of female mice.
To determine if gene expression differences in mice were reflected in humans, we correlated expression of PGC1α, UCP1 and CIDEA in sWAT of fifty human volunteers to BMI. PGC1α and UCP1 gene expression is not correlated to BMI in our volunteers and there is no difference between sexes (Fig. 4C, D). However, CIDEA gene expression in sWAT of human males is significantly inversely correlated with BMI, this effect is not observed in females (Fig. 4E). Consistent with the gene expression of mice, sWAT CIDEA expression is negatively correlated with body mass in male humans and significantly decreased in male mice fed HFD.
Discussion
The aim of this study was to examine sex-specific differences in systemic metabolism and adipose depot mitochondrial function in response to high fat diet-challenge and obesity. We began this study by validating previously reported observations detailing enhanced weight gain and decreased glucose tolerance and insulin sensitivity in male mice challenged with HFD compared to female mice [23, 32, 33]. The rapid weight gain in male HFD fed mice was not explained by differences in food consumption, energy expenditure or activity alone. Although increased activity in female mice could contribute to increased metabolic flexibility [34], the whole animal metabolic parameters did not explain the differences in body mass.
To establish whether sexual dimorphism in fat distribution contributes to differences in body mass we examined three key adipose depots, iBAT, iWAT and eWAT. Interestingly, at 8 weeks of age, and prior to HFD challenge, male mice had significantly greater eWAT mass compared to female mice. Future studies may focus on investigating whether increased basal eWAT mass contributes to the enhanced weight gain observed in male mice in response to HFD challenge possibly through techniques such as omentectomy. The differences in body mass as a result of HFD feeding are reflected in adipose depot mass with increased iBAT, iWAT and eWAT in HFD fed males and iWAT and eWAT in HFD fed females. Female iBAT was resistant to the depot size increase observed in male mice fed HFD.
Differences in adiposity and mitochondrial function between males and females are likely due to the contribution of sex steroid in the regulation of adipocyte development, function and lipid retention, which appears to be negatively regulated by oestrogen and can be explained by oestrogen mediated lipid accumulation [35, 36]. Future studies using a neutered mouse model would facilitate further investigation of the contribution of sex steroid hormones to the differences in adipose depot size, weight gain, and mitochondrial function between male and female mice in the setting of high fat feeding. Although, with the caveat that negation of sex steroid hormone effects will alter other physiological parameters influencing weight gain including basal metabolic rate, organismal growth and lean muscle mass.
Age influenced the adiposity of WAT in the same manner for both sexes. However, only male mice fed HFD had increased BAT depot mass, a phenomenon previously observed in response to HFD [37]. This may be due to increased whitening of the BAT depot in male mice as the increased BAT did not reflect in increased whole animal energy expenditure, reduced weight gain or BAT metabolic mitochondrial function.
Both the distribution and amount of adipose tissue have consequences for metabolism and metabolic health. We observed differences in oxygen consumption, energy expenditure and RER for both sexes and diets with age, this may be due to changes in lean body mass as the mice age, which has also been observed in humans [38]. Female mice fed STD have significantly lower oxygen consumption and energy expenditure than male mice fed STD. With HFD feeding this sex difference is lost. This suggests that the lower baseline energy expenditure and oxygen consumption in female mice provides females greater metabolic flexibility to adapt to HFD challenge compared to males. Given the central role of mitochondria in energy metabolism, measuring oxygen consumption directly at the mitochondrial level provides information that cannot be determined systemically. Therefore, we used high-resolution respirometry to determine mitochondrial function in the adipose tissue depots of obese and lean male and female mice. Female mice fed HFD have significantly increased mitochondrial iBAT respiration compared to STD fed female mice, with succinate as a substrate. This difference is maintained after Ucp1 is inhibited with GDP. Therefore Ucp1 is unlikely to contribute to the increased iBAT respiration in female mice fed HFD. This is confirmed by the increase in maximum respiration when the iBAT mitochondria were uncoupled in HFD fed female mice compared to STD fed female mice. Together these results indicate that HFD feeding impairs flux through the beginning of the electron transport chain (complex I) in the iBAT equally in both sexes. However, the iBAT of female mice fed HFD adapts to this challenge with enhanced respiration through complex II and maximum ETC respiration. The BAT of male mice does not similarly respond to HFD challenge. This phenomenon may be reflected systemically. STD chow fed male mice exhibit greater basal energy expenditure compared to female mice fed STD. This sex difference in whole body energy expenditure is abolished when the animals are challenged by HFD. These findings suggest that female mice have a greater latent capacity for metabolic flexibility in BAT mitochondrial function in response to obesity compared to male mice and this may translate to effects on systemic energy expenditure.
Both the iWAT and eWAT do not show strong phenotypic differences in mitochondrial respiration between males and females. However, iWAT from female STD fed mice have a higher RCR than iWAT from male STD fed mice suggesting greater ETC coupling efficiency. Although, this sex-specific difference is abolished by HFD feeding. The increase in body mass, adipose tissue depot size and decreased BAT mitochondrial metabolism of HFD fed male mice compared to HFD fed female mice indicates that female mice have increased metabolic flexibility to adapt to changes in energy intake by regulating energy expenditure through adaptive respiration in BAT mitochondria. Increased RCR in iWAT of female mice on STD also suggests a greater metabolic flexibility and range to adapt to energetic challenge.
Using both sexes of mice increases the translatability of laboratory research into the clinical setting. When comparing mRNA expression of Pgc1α, Ucp1 and Cidea of iWAT from mice and humans we show that mRNA expression of our mouse model is reflected in human volunteers. PGC1α and UCP1 show no difference in expression between diet in mice or correlation with BMI in humans. However, CIDEA mRNA expression in male humans is negatively correlated with BMI. This is comparable to the decreased Cidea expression in male mice fed HFD compared to STD. Female mice and humans do not have significantly decreased CIDEA expression with HFD feeding and increasing BMI. Decreased Cidea expression in sWAT has been previously shown to inhibit the uncoupling of BAT respiration in mice [39]. Cidea regulates metabolism through Ucp1 [40] and increased Cidea expression is correlated with lipid droplet size in sWAT [41], which could contribute to the increased sWAT observed in male mice fed HFD compared to female mice fed HFD. Therefore, the significant decrease in Cidea when male mice are fed HFD could explain why, although male mice have a significantly greater amount of sWAT, this is not translated to increased respiration in the mitochondria, especially with GDP mediated Ucp1-inhibition.
Here, we investigate the relationship between sex and mitochondrial metabolism in adipose tissue. Male mice rapidly gain weight when high fat challenged, and this may be due to sexual dimorphism of BAT mitochondrial respiration. We describe distinct sex-specific differences in the systemic and adipose tissue metabolism of mice in response to high fat challenge and obesity. These findings emphasise the necessity of including both sexes in translational research of metabolic diseases. Moreover, we identify reduced metabolic flexibility in the systemic phenotype and BAT respiration of male mice compared to a greater latent capacity for mitochondrial metabolic flexibility in the BAT of female mice. This sex-specific difference in BAT metabolic flexibility may underlie the increased susceptibility of males to weight gain and an impaired metabolic phenotype in response to obesity.
Supplementary information
Acknowledgements
The authors would like to thank Sam Straw for his support with the human patient samples. This study was supported by grants from the Medical Research Council (MR/R014086/1) and the British Heart Foundation (FS/18/61/34182). ADVM was funded by a BHF studentship (FS/18/61/34182). LDR acknowledges the support of the Diabetes UK RD Lawrence Fellowship (16/0005382).
Author contributions
ADVM performed experiments, analysed data, wrote and edited the manuscript. SF provided the mice and advice on mouse experiments. AW and AM performed experiments and reviewed and edited the manuscript. KKW provided human adipose tissue study infrastructure, ethics and samples. LDR directed the project, raised funds, reviewed and edited the manuscript. All authors were involved in interpretation of data, reviewed and edited the manuscript.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version contains supplementary material available at 10.1038/s41366-021-00843-0.
References
- 1.Grundy SM. Obesity, metabolic syndrome, and cardiovascular disease. J Clin Endocrinol Metab. 2004;89:2595–2600. doi: 10.1210/jc.2004-0372. [DOI] [PubMed] [Google Scholar]
- 2.Huang PL. A comprehensive definition for metabolic syndrome. Dis Model Mech. 2009;2:231–237. doi: 10.1242/dmm.001180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Galassi A, Reynolds K, He J. Metabolic syndrome and risk of cardiovascular disease: a meta-analysis. A J Med. 2006;119:812–819. doi: 10.1016/j.amjmed.2006.02.031. [DOI] [PubMed] [Google Scholar]
- 4.Lee M-J, Wu Y, Fried SK. Adipose tissue heterogeneity: Implication of depot differences in adipose tissue for obesity complications. Mol Asp Med. 2013;34:1–11. doi: 10.1016/j.mam.2012.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Tchernof A, Després J-P. Pathophysiology of human visceral obesity: an update. Physiol Rev. 2013;93:359–404. doi: 10.1152/physrev.00033.2011. [DOI] [PubMed] [Google Scholar]
- 6.Wronska A, Kmiec Z. Structural and biochemical characteristics of various white adipose tissue depots. Acta Physiol. 2012;205:194–208. doi: 10.1111/j.1748-1716.2012.02409.x. [DOI] [PubMed] [Google Scholar]
- 7.Ross R, Aru J, Freeman J, Hudson R, Janssen I. Abdominal adiposity and insulin resistance in obese men. Am J Physiol Endocrinol Metab. 2002;282:E657–E663.. doi: 10.1152/ajpendo.00469.2001. [DOI] [PubMed] [Google Scholar]
- 8.Ross R, Freeman J, Hudson R, Janssen I. Abdominal Obesity, Muscle Composition, and Insulin Resistance in Premenopausal Women. J Clin Endocrinol Metab. 2002;87:5044–51. doi: 10.1210/jc.2002-020570. [DOI] [PubMed] [Google Scholar]
- 9.Grundy SM. Adipose tissue and metabolic syndrome: too much, too little or neither. Eur J Clin Invest. 2015;45:1209–17. doi: 10.1111/eci.12519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Frontini A, Cinti S. Distribution and development of brown adipocytes in the murine and human adipose organ. Cell Metab. 2010;11:253–256. doi: 10.1016/j.cmet.2010.03.004. [DOI] [PubMed] [Google Scholar]
- 11.Golozoubova V, Cannon B, Nedergaard J. UCP1 is essential for adaptive adrenergic nonshivering thermogenesis. Am J Physiol Endocrinol Metab. 2006;291:E350–E357.. doi: 10.1152/ajpendo.00387.2005. [DOI] [PubMed] [Google Scholar]
- 12.Betz MJ, Enerbäck S. Human brown adipose tissue: what we have learned so far. Diabetes. 2015;64:2352–60. doi: 10.2337/db15-0146. [DOI] [PubMed] [Google Scholar]
- 13.Power ML, Schulkin J. Sex differences in fat storage, fat metabolism, and the health risks from obesity: possible evolutionary origins. Br J Nutr. 2008;99:931–40. doi: 10.1017/S0007114507853347. [DOI] [PubMed] [Google Scholar]
- 14.Shi H, Seeley RJ, Clegg DJ. Sexual differences in the control of energy homeostasis. Front Neuroendocrinol. 2009;30:396–404. doi: 10.1016/j.yfrne.2009.03.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Pouliot MC, Després JP, Lemieux S, Moorjani S, Bouchard C, Tremblay A, et al. Waist circumference and abdominal sagittal diameter: best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women. Am J Cardiol. 1994;73:460–468. doi: 10.1016/0002-9149(94)90676-9. [DOI] [PubMed] [Google Scholar]
- 16.Jackson AS, Stanforth PR, Gagnon J, Rankinen T, Leon AS, Rao DC, et al. The effect of sex, age and race on estimating percentage body fat from body mass index: The Heritage Family Study. Int J Obes. 2002;26:789–96. doi: 10.1038/sj.ijo.0802006. [DOI] [PubMed] [Google Scholar]
- 17.Aekplakorn W, Chongsuvivatwong V, Tatsanavivat P, Suriyawongpaisal P. Prevalence of metabolic syndrome defined by the International Diabetes Federation and National Cholesterol Education Program criteria among Thai adults. Asia Pac J Public Health. 2011;23:792–800. doi: 10.1177/1010539511424482. [DOI] [PubMed] [Google Scholar]
- 18.Camhi SM, Bray GA, Bouchard C, Greenway FL, Johnson WD, Newton RL, et al. The relationship of waist circumference and BMI to visceral, subcutaneous, and total body fat: sex and race differences. Obesity. 2011;19:402–408. doi: 10.1038/oby.2010.248. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Demerath EW, Sun SS, Rogers N, Lee M, Reed D, Choh AC, et al. Anatomical patterning of visceral adipose tissue: race, sex, and age variation. Obesity. 2007;15:2984–93. doi: 10.1038/oby.2007.356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Arciero PJ, Goran MI, Poehlman ET. Resting metabolic rate is lower in women than in men. J Appl Physiol. 1993;75:2514–20. doi: 10.1152/jappl.1993.75.6.2514. [DOI] [PubMed] [Google Scholar]
- 21.Buchholz AC, Rafii M, Pencharz PB. Is resting metabolic rate different between men and women? Br J Nutr. 2001;86:641–646. doi: 10.1079/BJN2001471. [DOI] [PubMed] [Google Scholar]
- 22.van Genugten RE, Utzschneider KM, Tong J, Gerchman F, Zraika S, Udayasankar J, et al. Effects of sex and hormone replacement therapy use on the prevalence of isolated impaired fasting glucose and isolated impaired glucose tolerance in subjects with a family history of type 2 diabetes. Diabetes. 2006;55:3529–35. doi: 10.2337/db06-0577. [DOI] [PubMed] [Google Scholar]
- 23.Sims EK, Hatanaka M, Morris DL, Tersey SA, Kono T, Chaudry ZZ, et al. Divergent compensatory responses to high-fat diet between C57BL6/J and C57BLKS/J inbred mouse strains. Am J Physiol Endocrinol Metab. 2013;305:E1495–1511. doi: 10.1152/ajpendo.00366.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Kim S-N, Jung Y-S, Kwon H-J, Seong JK, Granneman JG, Lee Y-H. Sex differences in sympathetic innervation and browning of white adipose tissue of mice. Biol Sex Differ. 2016;7:67. doi: 10.1186/s13293-016-0121-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Fontana-Ayoub M, Fasching M, Gnaiger E. Selected media and chemicals for respirometry with mitochondrial preparations. Mitochondr Physiol Network. 2014;17:1–9. doi: 10.1016/j.mito.2014.04.010. [DOI] [Google Scholar]
- 26.Kuznetsov AV, Veksler V, Gellerich FN, Saks V, Margreiter R, Kunz WS. Analysis of mitochondrial function in situ in permeabilized muscle fibers, tissues and cells. Nat Protoc. 2008;3:965–76. doi: 10.1038/nprot.2008.61. [DOI] [PubMed] [Google Scholar]
- 27.Chance B, Williams GR. The respiratory chain and oxidative phosphorylation. Adv Enzymol Relat Areas Mol Biol. 1956;17:65–134. doi: 10.1002/9780470122624.ch2. [DOI] [PubMed] [Google Scholar]
- 28.Pelikan PC, Niemann JT, Xia GZ, Jagels G, Criley JM. Enhancement of mitochondrial oxidative phosphorylation capability by hypoperfusion in isolated perfused rat heart. Circ Res. 1987;61:880–888. doi: 10.1161/01.RES.61.6.880. [DOI] [PubMed] [Google Scholar]
- 29.Roberts LD, Boström P, O’Sullivan JF, Schinzel RT, Lewis GD, Dejam A, et al. β-Aminoisobutyric acid induces browning of white fat and hepatic β-oxidation and is inversely correlated with cardiometabolic risk factors. Cell Metab. 2014;19:96–108. doi: 10.1016/j.cmet.2013.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Mina AI, LeClair RA, LeClair KB, Cohen DE, Lantier L, Banks AS. CalR: a web-based analysis tool for indirect calorimetry experiments. Cell Metab. 2018;28:656–666.e1. doi: 10.1016/j.cmet.2018.06.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Schreyer SA, Wilson DL, LeBoeuf RC. C57BL/6 mice fed high fat diets as models for diabetes-accelerated atherosclerosis. Atherosclerosis. 1998;136:17–24. doi: 10.1016/S0021-9150(97)00165-2. [DOI] [PubMed] [Google Scholar]
- 32.Reynolds TH, Dalton A, Calzini L, Tuluca A, Hoyte D, Ives SJ. The impact of age and sex on body composition and glucose sensitivity in C57BL/6J mice. Physiol Rep. 2019;7:e13995. doi: 10.14814/phy2.13995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Macotela Y, Boucher J, Tran TT, Kahn CR. Sex and depot differences in adipocyte insulin sensitivity and glucose metabolism. Diabetes. 2009;58:803–12. doi: 10.2337/db08-1054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Rynders CA, Blanc S, DeJong N, Bessesen DH, Bergouignan A. Sedentary behaviour is a key determinant of metabolic inflexibility. J Physiol. 2018;596:1319–30. doi: 10.1113/JP273282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Haffner SM, Valdez RA. Endogenous sex hormones: impact on lipids, lipoproteins, and insulin. Am J Med. 1995;98:40S–47S. doi: 10.1016/S0002-9343(99)80058-8. [DOI] [PubMed] [Google Scholar]
- 36.Lee M-J, Fried SK. Sex-dependent depot differences in adipose tissue development and function; role of sex steroids. J Obes Metab Syndr. 2017;26:172–80. doi: 10.7570/jomes.2017.26.3.172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Ghosh S, Taylor JL, Mendoza TM, Dang T, Burk DH, Yu Y, et al. Siah2 modulates sex-dependent metabolic and inflammatory responses in adipose tissue to a high-fat diet challenge. Biol Sex Differ. 2019;10:19. doi: 10.1186/s13293-019-0233-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Hawkins SA, Wiswell RA. Rate and mechanism of maximal oxygen consumption decline with aging. Sports Med. 2003;33:877–88. doi: 10.2165/00007256-200333120-00002. [DOI] [PubMed] [Google Scholar]
- 39.Zhou Z, Toh SY, Chen Z, Guo K, Ng CP, Ponniah S, et al. Cidea-deficient mice have lean phenotype and are resistant to obesity. Nat genet. 2003;35:49–56. doi: 10.1038/ng1225. [DOI] [PubMed] [Google Scholar]
- 40.Jash S, Banerjee S, Lee M-J, Farmer SR, Puri V. CIDEA transcriptionally regulates UCP1 for britening and thermogenesis in human fat cells. iScience. 2019;20:73–89. doi: 10.1016/j.isci.2019.09.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Puri V, Ranjit S, Konda S, Nicoloro SMC, Straubhaar J, Chawla A, et al. Cidea is associated with lipid droplets and insulin sensitivity in humans. Proc. Natl. Acad. Sci. 2008;105:7833–7838. doi: 10.1073/pnas.0802063105. [DOI] [PMC free article] [PubMed] [Google Scholar]
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