Abstract
Purpose
Thermogenesis function has made brown/beige adipocyte an attractive target for obesity. Human brown adipose tissue activity is impaired in obesity in vivo. The present study aims to compare the differences in beige adipocyte differentiation potential of subcutaneous adipose tissue derived from normal weight and obese Chinese individuals in vitro.
Methods
Adipose-derived stem cells (ADSCs) isolated from subcutaneous fat tissues of normal weight (NW) and obese (OB) groups were induced to differentiate into mature adipocyte with white adipocyte (WA)- and beige adipocyte (BA)-induction treatment. The expression of beige adipocyte marker protein UCP-1 and specific thermogenic genes was detected in differentiated adipocytes via Western blot and rt PCR, and the adipocyte mitochondrial function and lipolysis ability were also measured by oxygen consumption rate (OCR) and glycerol release rate, respectively.
Results
Either with WA-induction or BA-induction, the expression of UCP-1 and beige adipocyte-specific thermogenic genes in differentiated adipocytes was higher in the NW compared to the OB group, followed by higher OCR and lipolysis ability in NW group than OB group. With BA-induction, expression of UCP-1 and thermogenic genes increased significantly, followed by the increasement in adipocytes OCR and lipolysis rate in NW group compared with WA-induction treatment, but no significant difference was observed in OB group.
Conclusion
Compromised beige adipocyte differentiation plasticity was found in subcutaneous white adipose tissue derived from obese Chinese individuals, which may be due part to the downregulation of β3-adrenergic receptor expression in adipocytes. Discovery of therapeutic agents to active brown adipose tissue through specific pathways could provide a promising approach for treating obesity in the future.
Keywords: obesity, beige adipocyte, subcutaneous fat, Chinese
Introduction
The worldwide occurrence of obesity and its comorbidities continues to rise along with a demand for novel therapeutic interventions.1 As the main site of non-shivering thermogenesis and oxidation of glucose as well as lipids,2 the diminished human brown adipose tissue (hBAT) activity may account for some types of obesity and it has been regarded as the target to combat obesity simultaneously. BAT was composed of classical brown adipocytes, which was characterized by enrichment mitochondria and expression of marker protein UCP-1. UCP-1 protein locates in the inner membrane of mitochondria, diminishing the proton gradient and releasing energy as heat.3 Classical brown adipocytes rarely exist in adults, but beige adipocytes in white adipose tissue (WAT) also express UCP-1 and possess the same thermogenic function as brown adipocyte when facing some stimuli, which provides an available strategy to induce thermogenic adipocytes to increase the activation of hBAT. Previous human in vivo studies have evaluated hBAT activity using 18-fluorodeoxyglucose-PET-CT and found that lean body mass is positively related to hBAT activity,4,5 but did not elucidate the difference of beige adipogenic potential at the molecular level in adipocytes derived from persons with different adiposity, and the data concerning the obese Chinese population in this field was especially scarce. Thus, in this study, we recruited normal weight and obese Chinese individuals, and examined the beige adipocyte induction potential at molecular and cellular function levels through primary human adipocytes culture and white adipocyte (WA)-/beige adipocyte (BA)-induction treatment, which could provide comprehensive information about adipose tissue browning capability in persons with different adiposity and the possible underling mechanism involved.
Materials and Methods
Participants
Human subcutaneous adipose tissues were collected from 35–60-year-old donors (n= 24, with BMI > 28 or BMI < 24) who underwent selective plastic surgery in Jinan Central Hospital. Exclusion criteria include cancer, thyroid diseases, diabetes, serious infectious diseases and patients who have been taking thyroxine, insulin, thiazolidinedione, lipid-lowering medicine or GLP-1 analogues in the last 3 months. Height, weight, waist circumference and blood pressure were measured before surgery. Body mass index (BMI) was calculated as weight (kilograms) divided by height (meters) squared. Participants were divided into two groups according to their BMI: normal-weight (NW) group (BMI < 24 kg/m2), obese (OB) group (BMI > 28 kg/m2). All participants signed informed consent. This experiment was conformed with the provisions of the Declaration of Helsinki and was approved by the local Ethical and Research Committee of Jinan Central Hospital (Shandong, China). The ethical number is 201,907,702.
Resting Metabolic Rate, Biochemical Parameters and Abdominal Fat Area Measurement
Resting metabolic rate (RMR) was measured using a ventilated hood coupled with an open-circuit indirect calorimeter. Every participant's RMR was measured in the early morning, relaxing. Respiratory exchange data from the final 10 min of the 30-min data collection period were used to calculate RMR.
Blood samples were collected in the morning after 10 hours of fasting to determine biochemical parameters, including HDL-C, triglycerides (TG), LDL-C and total cholesterol (TC), using an automatic analyzer (Hitachi 7080, Tokyo, Japan).
Abdominal subcutaneous fat area (SFA) and visceral fat area (VFA) were measured via bioelectrical impedance analysis (BIA) (Tanita BC 420MA/SC-331S, Tokyo, Japan).
Immunohistochemistry
Fresh adipose tissue samples were fixed, embedded in paraffin and cut into slices, then deparaffinized and the antigen retrieved at 95°C. Tissue sections were incubated with antibodies against UCP-1 (1:100) overnight at 4°C, then with horseradish peroxidase (HRP)-conjugated antirabbit secondary antibody for 1 hour at room temperature, stained with DAB to detect the images and take photos by inverted phase contrast microscope (Zeiss Axiovert A1, Germany).
Primary Adipocyte Culture and Adipogenic Induction
Freshly dissected adipose tissues were digested in buffer contained collagenase (1 mg/mL) for 30 minutes, human adipose-derived stem cells (ADSCs) was isolated by centrifugation (1200 rpm, 10 min) and cultured in basic medium (DMEM/Ham’s F-12 containing 10% fetal bovine serum (Sigma-Aldrich), 1% penicillin–streptomycin, and 0.01% fibroblast growth factor) to obtain preadipocytes.6
For WA-induction (n= 24), the preadipocytes were cultured in WA-induction medium (basic medium supplemented with 1 μM dexamethasone, 500 μM 3-isobutyl-1-methylxanthine (IBMX), 0.85 μM insulin, 200 μM indomethacin) for 3 days, then switched to WA-differentiation medium (WA-induction medium without dexamethasone) and changed every 2 days, until the preadipocytes differentiated into mature adipocytes. For BA-induction, the procedure was same as WA-induction with the difference of BA-induction medium (WA-induction supplemented with 1 nM triiodothyronine, 1 μM rosiglitazone, without indomethacin) and BA-differentiation medium (BA-induction medium supplemented with 1 nM CL316243, without dexamethasone).7 Usually at the 14th day after adipogenic induction, adipocytes became fully differentiated and the typical phenotype appeared.
Quantitive Real-Time PCR
Total RNA was isolated from adipocytes using Trizol reagents (Takara, Japan) following the manufacturer’s protocol. The quantification of RNA samples was inspected by a Nanodrop 2000 (Thermo Scientific, USA). cDNA synthesis was performed with PrimeScript RT Reagent Kit (Takara Japan) and PCR amplification were carried out with SYBR Green Master Mix (Takara, Japan). Quantitive real-time polymerase chain reaction qRT-PCR) was performed using ABM 7500 sequence detection (Biosystems, Foster City, CA, USA), and the gene primers used in this part are shown in Table 1.
Table 1.
Genes | Forward | Reverse |
---|---|---|
UCP-1 | 5ʹ-GTGCCCAACTGTGCAATGAA-3’ | 5ʹ-CCAGGATCCAAGTCGCAAGA-3’ |
PRDM16 | 5ʹ-GCTGGCAGCTGGCTCAAGTA-3’ | 5ʹ-CCTCACCTGGCTCAATGTCCTTA-3’ |
PGC‐1α | 5ʹ-TGGTGGACACGAGGAAAGG-3’ | 5ʹ- AAATCTGCCCCTGCCAATC −3’ |
FGF21 | 5ʹ-ACAGATGATGCCCAGCAGACAG-3’ | 5ʹ-GGATGTCTTGACTCCCAAGATTTGA-3’ |
PPARγ | 5ʹ-CACATTACGAAGACATTCCATTCAC-3’ | 5ʹ-GGAGATGCAGGCTCCACTTTG-3’ |
Resistin | 5ʹ-TCTAGCAAGACCCTGTGCTCCA-3’ | 5ʹ-ACTCCAGGCCAATGCTGCTTA-3’ |
CIDEA | 5ʹ-TTTCAGACCTTGGGAGACAACAC-3’ | 5ʹ-GACTCTCGCTATTCCCGACCT-3’ |
18S | 5ʹ-GCAATTATTCCCCATGAACG-3’ | 5ʹ- GGCCTCACTAAACCATCCAA-3’ |
Western Blotting Analysis
Cell protein lysates were obtained from a cocktail with RIPA lysis buffer plus protease-inhibitor (Vol/Vol 100/1) in it after 30 minutes on ice, then centrifuged to get the protein sample solution. The protein samples were validated using BCA assay Kit (Thermo Fisher, USA), then denatured at 95°C for 10 minutes in loading buffer. 50μg protein samples were loaded and run on a 10% SDS–polyacrylamide gel, then transfer membrane and immunoblotted with primary antibodies against UCP-1 (1:1000, CST, USA) and beta actin (1:1000, CST, USA), after incubated with HRP (Beijing Zhongshan Gold Bridge Biotechnology, Beijing, China) for 1h at room temperature, the protein bands were detected using FluorChemE system (Cell Biosciences, Santa Clara) and the protein bands density were measured using Image J software (v1.8.0).
Lipolysis Analysis
At the last day of differentiation, 1 μM norepinephrine was added into the differentiation medium for 6 hours for both BA- and WA-induced adipocytes and the supernatant of medium was collected. The glycerol concentration in the supernatant was determined using Adipolysis ELISA Kit (Bioassay, USA), following the manufacturer’s recommendation and normalized by the protein content in the well.
Oxygen Consumption Assays
ADSCs derived from adipose tissue were directly seeded in the plate and induced to differentiation with the WA- or BA-induction procedure using the methods described previously. At day 14 of differentiation, adipocyte oxygen consumption was measured at 37°C using the Seahorse XF24-3 extracellular flux analyzer (Agilent, USA). Adipocytes were incubated in XF-assay medium containing 25 mM of glucose, 1 mM of sodium pyruvate and 2 mM of GlutMAX. Basal oxygen consumption rate (OCR) measurements were taken before sequential addition of reagents, 5 μM FCCP was added to render the maximal OCR. OCR values were normalized by the total cell protein concentration measured by BCA Protein Assay Kit (Beyotime, China).
Statistics
The quantitative physical characteristics and clinical measurements of the NW and OB groups were analyzed by Student’s t-tests; the gender difference between the NW and OB groups were analyzed by X2 test. In the WA and BA treatment group, the difference of UCP-1 and other thermogenic biomarkers between the NW and OB groups were analyzed by paired two-tailed Student’s t-tests. Comparisons between WA and BA induction treatment data within the same treatment group were analyzed by analyses of variances (ANOVA). The calculations were performed by SPSS for Windows (version 22.0 software; IBM Corporation, Chicago, IL, USA). Results are expressed as mean ± SD, and differences between groups were considered statistically significant at P < 0.05.
Results
Characteristics of Participants
The anthropological and clinical features of the participants are shown in Table 2. Adipose tissue samples were collected from 24 individuals, and the participants were divided into NW and OB groups according to their BMI as described in the methods; the two groups were matched for age and sex (P> 0.05). The BMI, waist circumference, abdominal visceral and subcutaneous fat area, low-density lipoprotein cholesterol and triglyceride was higher (P< 0.05), and high-density lipoprotein cholesterol levels was lower (P< 0.05) in the OB group compared to those in the NW group. There was no significant difference in resting metabolic rate, total cholesterol, or blood pressure between the OB and NW groups.
Table 2.
NW Group | OB Group | |
---|---|---|
N | 12 | 12 |
Sex (M/F) | 4/8 | 5/7 |
Age (years) | 42.5 ± 6.4 | 46.25 ± 8.47 |
BMI (kg/m2) | 21.77 ± 1.53# | 29.11 ± 1.22 |
Waist circumference (cm) | 76.5 ± 4.25# | 100.3 ± 6.99 |
Resting metabolic rate (kcal/d) | 1325.75 ± 73.75 | 1225.75 ± 128.98 |
Abdominal subcutaneous fat area (cm2) | 175.18 ± 15.72# | 226.3 ± 22.24 |
Abdominal visceral fat area (cm2) | 56.59 ± 6.5# | 80.31 ± 8.89 |
Diastolic blood pressure (mmHg) | 77 ± 15.34 | 82.65 ± 12.42 |
Systolic blood pressure (mmHg) | 121.25 ± 15.68 | 135.54 ± 18.04 |
Low-density lipoprotein cholesterin (mmol/L) | 2.59 ± 0.63* | 3.42 ± 0.6 |
High-density lipoprotein cholesterin (mmol/L) | 1.37 ± 0.28# | 1.01 ± 0.18 |
Triglyceride (mmol/L) | 1.1 ± 0.48* | 1.7 ± 0.82 |
Notes: Data are shown as mean ± SD for continuous variables. *p< 0.05 and #p< 0.01 vs OB group.
Abbreviations: NW, normal weight; OB, obese.
UCP-1 Protein Expression in Subcutaneous Adipose Tissue of NW and OB Group
The result of immunostaining for beige adipocyte marker protein UCP-1 in adipose tissue (Figure 1) showed UCP-1 protein expression in subcutaneous adipose tissue of the NW group was higher compared to that in the OB group. This result is in accordance with previous in-vivo studies which showed that hBAT activity detected by 18F-PET-CT decreased in obese individuals.
Morphology of WA- and BA-Induced Adipocytes in NW and OB Groups
We used Oil-red O staining to examine the morphology of WA- and BA-induced adipocytes in the NW and OB groups and the results showed that the adipocytes in both groups were fully differentiated into mature adipocytes with lipid droplets in the cell staining red. The WA-induced adipocytes in both NW and OB groups contained larger lipid droplets than BA-induced adipocytes, and BA-induced adipocytes contained smaller multinodular lipid droplets in cells. In addition, in BA-induced differentiated adipocytes, there were more cells characterized by multinodular lipid droplets beige-like adipocytes in the NW group than in the OB group (Figure 2).
Thermogenic and Adipogenic Genes Expression in WA- and BA-Induced Adipocytes of NW and OB Group
Next, we detected the expression of thermogenic and adipogenic genes in WA- and BA-induced adipocytes of NW and OB groups to explore the possible molecular mechanism involved in impaired hBAT activity in obesity. As shown in Figure 3, the expressions of beige adipocyte-specific genes, including UCP-1 (49.24 ± 8.64 vs 1.08 ± 0.56, P< 0.01), CIDEA (3.04 ± 1.88 vs 0.95 ± 0.68, P= 0.013), PGC-1α (14.67 ± 6.42 vs 1.05 ± 0.3, P< 0.01), PPARγ (1.99 ± 0.78 vs 1.06 ± 0.35, P< 0.01), PRDM16 (2.04 ± 0.96 vs 1.02 ± 0.7, P= 0.037) and FGF-21 (2.5 ± 0.25 vs 1.03 ± 0.33, P< 0.01) were significantly higher, and white adipogenic gene resistin was significantly lower (P< 0.01) in BA-induced compared to WA-induction adipocytes derived from NW group. But in the OB group, only the expression of CIDEA (0.54 ± 0.41 vs 0.013 ± 0.01, P< 0.01), PGC-1α (0.84 ± 0.53 vs 0.2 ± 0.09, P< 0.01) were higher in BA-induced adipocytes compared to WA-induced ones, the fold changes in PGC-1α were lower than in the NW group. There were no significant differences in the expression of UCP-1, PPARγ, PRDM16 and FGF-21 between BA-induced and WA-induced adipocytes in OB group. Resistin was also lower in BA-induced compared to WA-induced adipocytes (P< 0.01) in the OB group. In either BA- or WA-induced adipocytes, the expression of all the brown/beige adipocyte-specific genes were significantly higher in the NW group than in the OB group. However, the expression of resistin was not different between NW and OB group.
UCP-1 Protein Expression in Differentiated Adipocytes from NW and OB Groups
We also examined the expression of beige/brown adipocytes marker protein UCP-1 in BA-and WA-induced adipocytes by Western blot. The results showed that UCP-1 protein expression levels in adipocytes of the NW group were higher compared that of the OB group, in either WA-induced (1.45 ± 0.27 vs 0.94 ± 0.34, P< 0.01) or BA-induced adipocytes (2.62 ± 0.51 vs 1.05 ± 0.2, P< 0.01) (Figure 4A and B). BA-induced adipocytes expressed higher levels of UCP-1 protein than WA-induced adipocytes in the NW group, but there was no significant difference in UCP-1 protein expression between BA- and WA-induced adipocytes in the OB group (Figure 4C), which was in accordance with the results of UCP-1 gene expression level. We characterized the fold changes of UCP-1 protein expression levels (Figure 4D), and found that UCP-1 expression was 1.8-fold in BA-induced compared to WA-induced in the NW group, and 1.1-fold in the OB group. In WA-induced adipocytes, UCP-1 protein expression was 1.5-fold higher in the NW group compared to the OB group, and the changes increased to 2.5-fold in beige-induced adipocytes (Figure 4E).
Lipolysis Analysis of Differentiated Adipocytes of NW and OB Group
Lipolysis, measured as glycerol release rate, was not significantly different between the NW and OB groups at basal conditions (data not shown). However, a significant increase in lipolysis rate was found in both NW and OB groups (P < 0.05) after norepinephrine (1 μM) treatment for 6 h; the norepinephrine-induced lipolysis was not significantly different between WA- and BA-induced adipocytes in the OB group, but the glycerol concentration of BA-induced adipocytes was higher than WA-induced adipocytes in the NW group (3.65 ± 0.78 vs 2.32 ± 0.42 μg/mL/μg protein, P < 0.01; Figure 5). And the lipolysis ability of the NW group was higher than the OB group, in either WA- (2.32 ± 0.42 vs 0.67 ± 0.23 μg/mL/μg protein, P < 0.01) or BA-induced adipocytes (3.65 ± 0.78 vs 0.97 ± 0.18 μg/mL/μg protein, P < 0.01; Figure 5).
Functional Analysis of Mitochondrial Respiration in Differentiated Adipocytes
To assay the mitochondrial respiration function of fat cells with different induction procedures from individuals of different adiposity, we investigated the mitochondrial oxygen consumption rate (OCR) of differentiated adipocytes of the four groups (Figure 6). At a functional level, the basal and maximum respiratory OCRs of BA-induced adipocytes were higher than those of WA-induced adipocytes in both NW (132.3 ± 4.69 vs 108.82 ± 4.09 pmol/min/μg protein, 158.46 ± 3.97 vs 100.66 ± 3.59 pmol/min/μg protein, respectively, P < 0.01) and OB groups (78.62 ± 10.3 vs 57.55 ± 7.64 pmol/min/μg protein, 76.43 ± 3.98 vs 61.96 ± 5.13 pmol/min/μg protein, respectively, P < 0.01). In the NW group, the basal OCR and maximum OCR went up 1.2- and1.6-fold, respectively, in BA-induced fat cells compared to WA-induced adipocytes, and 1.3- and 1.2-fold, respectively, in the OB group. However, adipocytes derived from the OB group always had lower basal and maximum OCR values compared to those from the NW group, in either BA- or WA-induced adipocytes. These data indicated BA-induction procedure during adipocytes differentiation could increase mitochondrial respiratory function in both OB and NW groups, which was a characteristic of beige adipocytes, and adipocytes from the NW group always showed a higher respiratory capacity compared to those from the OB group.
Discussion
The activation of BAT has been a promising therapeutic target for treatment of obesity and related metabolic disease recently. However, a few studies have indicated that obesity is inversely associated with impaired BAT activity in rodents and humans,8–10 and the underlying molecular and cellular mechanism remains unclear. The present study also verified that the expression of beige/brown adipocytes marker protein UCP-1 was decreased in adipose tissue of obese persons, which was in accordance with the previous human in-vivo studies. We used human adipocyte culture and BA- and WA-induction treatment to explore the underlying mechanism in the present study, and found that subcutaneous fat cells derived from obese patients had compromised beige adipocytes differentiation potential in Chinese Han race population.
Several human studies used 18F-PET-CT to explore hBAT activity in different race populations including Asians and Caucasians,11–14 most of them paved the way for the reduction of BAT activity to be associated with increased adiposity and risk for type 2 diabetes.15 It has also been proved that hBAT could be activated by β-adrenergic agonist in lean subjects, especially in young and lean females,16 but not in obese subjects. The present study used primary human adipocyte culture and beige/white adipogenic induction to differentiate ADSCs into mature adipocytes in vitro, which could mimic the morphological and transcriptional process during adipogenesis and maintained physiological features of human mature adipocytes in vivo, and could provide a valuable model to observe the beige adipocytes potential in people with different adiposity intuitively in vitro. In addition, the present study performed both beige- and white-adipocyte induction treatment to preadipocytes derived from the same adipose tissue sample, which can provide comprehensive cellular information concerning beige/white adipocyte differentiation, and the data in this field were limited so far.
Our data showed that the expression of beige adipocyte marker gene and protein UCP-1 was decreased in adipocytes derived from obese individuals, which was in accordance with the results in human adipose tissue. To detect the underlying mechanism, the present study investigated the beige-specific thermogenic genes expression in BA- and WA-induced differentiated adipocytes derived from persons with different adiposity, and the results showed that the expression of PRDM16, PPARγ, PGC-1α, FGF21 and CIDEA were higher in normal-weight individuals compared with obese persons, and BA-induction treatment could significantly increase the expression of beige adipocyte-specific genes in adipocytes derived from normal-weight persons, but not in obese ones. These genes are involved in the process of mitochondria biogenesis and drive the ADSCs to differentiate into beige adipocytes, so their low expression during adipocyte differentiation may result in reduced beige adipocyte differentiation potential and compromised hBAT activity in obese persons.
We also measured the adipocyte oxygen consumption rate to assay the mitochondria function of differentiated adipocytes from individuals with different adiposity and the consequence of BA-and WA-induction treatment, and the results showed impaired mitochondrial respiratory function in adipocytes from obese persons. Compared to WA-induction treatment, BA-induction significantly increased the basal and maximum mitochondria oxygen consumption rate in adipocytes of both normal-weight individuals and obese persons, which was not in accordance with the results of the expression UCP-1, where the expression did not change with BA- or WA-induction in obese persons; this phenomenon may due to the UCP-1-independent thermogenic pathway.17,18
Lipolysis analysis of differentiated adipocytes also revealed that the fat cells from the obese group had a lower level of lipolysis compared with normal-weight individuals. BA-induction treatment significantly increased the lipolysis ability in adipocytes of normal-weight individuals, although there was also an increasement in glycerol release rate in BA-induced adipocytes of obese ones, but the level of increase was lower than that of normal-weight persons. Some researchers have recently found that lipolysis in WAT triggers insulin release, which is essential for the replenishment of BAT energy stores and for efficient adaptive thermogenesis.19 So the compromised beige adipocyte potential may be due part to the lower lipolysis ability in obesity.
Because BA-induction treatment can significantly increase the beige adipocytes biomarker gene and protein, thermogenic and lipolysis function in adipocytes was derived from normal-weight persons, not obese ones. So next we analyze the difference in BA- and WA-induction treatments to try to figure out the possible underlying molecular mechanism. As described in the methods, CL316243, triiodothyronine (T3) and rosiglitazone were included in the BA-induction procedure but not in WA-induction, which was the main difference.
In the prevailing model, cold temperatures trigger sympathetic discharge, which results in the release of noradrenaline in brown and white adipose tissue that activates β3-adrenergic receptors (β3-AR),20 noradrenergic signaling induces the expression of thermogenic genes, which is the domain way to increase hBAT activity. CL316243 is a selective β3 agonist that could mimic cold and adrenergic simulation.21 β3-AR agonists can stimulate human BAT activity in normal weight adults, but this ability was impaired in people with obesity tested via 18F-FDG PET/CT detection.22 The present study proves in vitro that subcutaneous adipocytes can be BA-induced to attain beige adipocyte characteristics, but this capacity was also reduced in adipocytes from obese individuals. A study we published recently showed that adipocytes β3-adrenergic receptor (β3-AR) expression was downregulated in obese/overweight individuals,9 which may contribute partly to the compromised beige inducible capacity in adipose tissue of obese persons.
Thyroid hormones contribute to BAT thermogenesis and affect energy balance in rodents and humans.23 T3 promotes the expression of PGC-1α, the master transcriptional coactivator of mitochondrial biogenesis in fat depots to enhance BAT thermogenesis.24 The results of an animal study suggested that thyroid hormone also additionally mediates UCP-1-independent thermogenesis.25 BA-induction treatment did not increase the expression of UCP-1 in adipocytes derived from the obese group, but mitochondrial respiratory function, PGC-1α gene expression did increase significantly, which may due to the effect of T3, although the content of increasement was lower compared to normal-weight ones. Further studies should be carried out to elucidate the molecular signaling pathway through which T3 plays a role in adipocyte thermogenesis.
Rosiglitazone is a potent PPARγ agonist that causes mitochondrial biogenesis and increased expression of several mitochondrial proteins.26 The adipocyte expression of PPARγ in obesity was lower than normal-weight ones in the present study, which may contribute partly to the decreased beige inducible potential when facing BA-induction treatment in obesity.
The present study indicated that adipocytes from subcutaneous white-adipose tissue expressed a lower level of beige adipocytes biomarker genes and protein in obese Chinese, followed by reduced mitochondrial respiratory and lipolysis function in adipocytes. ADSCs from the obese group showed a lower beige inducible ability compared to that of normal-weight individuals. Sympathetic stimuli could enhance the browning plasticity in ADSCs derived from normal-weight individuals during adipocyte differentiation, but not in obesity in Chinese, which may be due in part to the downregulation of β3-AR in adipocytes. Regardless of whether defective BAT is a cause or a consequence of obesity, BAT-activation strategies remain a potential therapeutic target in individuals with established obesity. Therefore, the discovery of therapeutic agents to activate BAT through specific pathways could provide a promising approach for treating obesity in the future.
Acknowledgments
We are thankful to Li Fang for technical assistance with data analysis and to Prof. Qiu for kindly providing adipose tissue.
Funding Statement
This study was funded by the Natural Science Foundation of China (81,300,686) and the Key Research and Development Program of Shandong Province (2018GSF118184). The sponsors had no influence on the design, conduct, interpretation or publication of this work.
Disclosure
The authors report no conflicts of interest in this work.
References
- 1.Quan L-H, Zhang C, Dong M. Myristoleic acid produced by enterococci reduces obesity through brown adipose tissue activation. Gut. 2020;69(7):1239–1247. doi: 10.1136/gutjnl-2019-319114 [DOI] [PubMed] [Google Scholar]
- 2.Ruiz JR, Martinez-Tellez B, Sanchez-Delgado G, Osuna-Prieto FJ, Rensen PCN, Boon MR. Role of human brown fat in obesity, metabolism and cardiovascular disease: strategies to turn up the heat. Prog Cardiovasc Dis. 2018;61(2):232–245. doi: 10.1016/j.pcad.2018.07.002 [DOI] [PubMed] [Google Scholar]
- 3.Chang S-H, Song N-J, Choi JH, Yun UJ, Park KW. Mechanisms underlying UCP1 dependent and independent adipocyte thermogenesis. Obes Rev. 2019;20(2):241–251. doi: 10.1111/obr.12796 [DOI] [PubMed] [Google Scholar]
- 4.van Rooijen BD, van der Lans AAJJ, Brans B. Imaging cold-activated brown adipose tissue using dynamic T2*-weighted magnetic resonance imaging and 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography. Invest Radiol. 2013;48(10):708–714. doi: 10.1097/RLI.0b013e31829363b8 [DOI] [PubMed] [Google Scholar]
- 5.Martinez-Tellez B, Xu H, Sanchez-Delgado G. Association of wrist and ambient temperature with cold-induced brown adipose tissue and skeletal muscle [18F]FDG uptake in young adults. Am J Physiol Regul Integr Comp Physiol. 2018;315(6):R1281–R1288. doi: 10.1152/ajpregu.00238.2018 [DOI] [PubMed] [Google Scholar]
- 6.Strieder-Barboza C, Thompson E, Thelen K, Contreras GA. Technical note: bovine adipocyte and preadipocyte co-culture as an efficient adipogenic model. J Dairy Sci. 2019;102(4):3622–3629. doi: 10.3168/jds.2018-15626 [DOI] [PubMed] [Google Scholar]
- 7.Lee P, Werner CD, Kebebew E, Celi FS. Functional thermogenic beige adipogenesis is inducible in human neck fat. Int J Obes. 2014;38(2):170–176. doi: 10.1038/ijo.2013.82 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Hui X, Gu P, Zhang J. Adiponectin enhances cold-induced browning of subcutaneous adipose tissue via promoting M2 macrophage proliferation. Cell Metab. 2015;22(2):279–290. doi: 10.1016/j.cmet.2015.06.004 [DOI] [PubMed] [Google Scholar]
- 9.Cao W-Y, Liu Z, Guo F, Yu J, Li H, Yin X. Adipocyte ADRB3 down-regulated in Chinese overweight individuals adipocyte ADRB3 in overweight. Obes Facts. 2018;11(6):524–533. doi: 10.1159/000495116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Garcia RA, Roemmich JN, Claycombe KJ. Evaluation of markers of beige adipocytes in white adipose tissue of the mouse. Nutr Metab. 2016;13(1):24. doi: 10.1186/s12986-016-0081-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Crandall JP, Gajwani P, Joo HO, Mawhinney DD, Sterzer F, Wahl RL. Repeatability of brown adipose tissue measurements on FDG PET/CT following a simple cooling procedure for BAT activation. PloS one 2019;14(4):e0214765. doi: 10.1371/journal.pone.0214765 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Deng J, Neff LM, Rubert NC, et al. MRI characterization of brown adipose tissue under thermal challenges in normal weight, overweight and obese young men. Journal of magnetic resonance imaging : JMRI 2018;47(4):936–947. doi: 10.1002/jmri.25836 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Sanchez-Delgado G, Martinez-Tellez B, Olza J, et al. Activating brown adipose tissue through exercise (ACTIBATE) in young adults: Rationale, design and methodology. Contemporary clinical trials 2015;45:416–425. doi: 10.1016/j.cct.2015.11.004 [DOI] [PubMed] [Google Scholar]
- 14.Bakker LEH, Boon MR, van der Linden RAD. Brown adipose tissue volume in healthy lean south Asian adults compared with white Caucasians: a prospective, case-controlled observational study. Lancet Diabetes Endocrinol. 2014;2(3):210–217. doi: 10.1016/s2213-8587(13)70156-6 [DOI] [PubMed] [Google Scholar]
- 15.Censin JC, Peters SAE, Bovijn J. Causal relationships between obesity and the leading causes of death in women and men. PLoS Genet. 2019;15(10):e1008405. doi: 10.1371/journal.pgen.1008405 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.van den Beukel JC, Grefhorst A, Hoogduijn MJ. Women have more potential to induce browning of perirenal adipose tissue than men. Obesity. 2015;23(8):1671–1679. doi: 10.1002/oby.21166 [DOI] [PubMed] [Google Scholar]
- 17.Grimpo K, Völker MN, Heppe EN, Braun S, Heverhagen JT, Heldmaier G. Brown adipose tissue dynamics in wild-type and UCP1-knockout mice: in vivo insights with magnetic resonance. J Lipid Res. 2014;55(3):398–409. doi: 10.1194/jlr.M042895 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Olsen JM, Csikasz RI, Dehvari N. β-adrenergically induced glucose uptake in brown adipose tissue is independent of UCP1 presence or activity: mediation through the mTOR pathway. Mol Metab. 2017;6(6):611–619. doi: 10.1016/j.molmet.2017.02.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Heine M, Fischer AW, Schlein C. Lipolysis triggers a systemic insulin response essential for efficient energy replenishment of activated brown adipose tissue in mice. Cell Metab. 2018;28(4):644–655.e4. doi: 10.1016/j.cmet.2018.06.020 [DOI] [PubMed] [Google Scholar]
- 20.Liu P, Huang S, Ling S. Foxp1 controls brown/beige adipocyte differentiation and thermogenesis through regulating β3-AR desensitization. Nat Commun. 2019;10(1):5070. doi: 10.1038/s41467-019-12988-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Cypess A, Weiner L, Roberts-Toler C. Activation of human brown adipose tissue by a β3-adrenergic receptor agonist. Cell Metab. 2015;21(1):33–38. doi: 10.1016/j.cmet.2014.12.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Carey AL, Formosa MF, Van Every B. Ephedrine activates brown adipose tissue in lean but not obese humans. Diabetologia. 2013;56(1):147–155. doi: 10.1007/s00125-012-2748-1 [DOI] [PubMed] [Google Scholar]
- 23.Skarulis MC, Celi FS, Mueller E. Thyroid hormone induced brown adipose tissue and amelioration of diabetes in a patient with extreme insulin resistance. J Clin Endocrinol Metab. 2010;95(1):256–262. doi: 10.1210/jc.2009-0543 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Bae IS, Kim SH.Expression and secretion of an atrial natriuretic peptide in beige-like 3T3-L1 adipocytes. Int J Mol Sci. 2019;20(24):6128. doi: 10.3390/ijms20246128 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Dittner C, Lindsund E, Cannon B, Nedergaard J. At thermoneutrality, acute thyroxine-induced thermogenesis and pyrexia are independent of UCP1. Mol Metab. 2019;25:20–34. doi: 10.1016/j.molmet.2019.05.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Fayyad AM, Khan AA, Abdallah SH, Alomran SS, Bajou K, Khattak MN. Rosiglitazone enhances browning adipocytes in association with MAPK and PI3-K pathways during the differentiation of telomerase-transformed mesenchymal stromal cells into adipocytes. Int J Mol Sci. 2019;20(7). doi: 10.3390/ijms20071618 [DOI] [PMC free article] [PubMed] [Google Scholar]