Abstract
Aims: Studies in skeletal muscle demonstrate a strong association of mitochondrial dysfunction with insulin resistance (IR). However, there is still a paucity of knowledge regarding the alteration of mitochondria in adipose tissue (AT) in the pathogenesis of IR in obesity. We investigated the mitochondrial biogenesis in visceral fat (VF) and subcutaneous fat (SF) in C57BL/6J mice fed a high-fat high-sucrose diet for 12 months. Results: Impairment of glucose tolerance and insulin sensitivity developed after 1 month of the diet and was associated with a prompt increase of VF. The VF adipocytes were larger than those in the SF and had increased expressions of HIF-1α and p-NFκB p65. However, the alteration of mitochondrial biogenesis did not occur in the early stage when increased intracellular reactive oxygen species (ROS), mitochondrial oxygen consumption rate, and mitochondrial ROS emerged at the 1st, 2nd and 2nd month, respectively. Until the 6th month, the VF had markedly increased mitochondrial DNA content and expression of PGC-1α, Tfam, ATP5A, and MnSOD. This increase of mitochondrial biogenesis was followed by a generalized decrease at the 12th month and the mitochondrial morphology altered markedly. In the late stage, although mitochondrial ROS decreased, the increased expression of 8-OHdG in VF continued. Innovation and Conclusion: These data suggest that IR and ROS production occur before the biphasic changes of mitochondrial biogenesis in AT, and the VF plays a more crucial role. Antioxid. Redox Signal. 20, 2572–2588.
Introduction
Diabetes and all traits of metabolic syndrome (MtS) are risk factors for cardiovascular diseases (CVD) (17, 20, 41, 53). Although the original conceptualization of this syndrome was based on insulin resistance (IR), the pathogenesis is not clear (41).
Innovation.
The conceptualization of metabolic syndrome (MtS) was based on insulin resistance (IR). Visceral fat (VF) excess, a trait of MtS, correlates with cardiovascular risk and mortality. Mitochondria are the power plant and also the source of oxidative stress in the cells. A strong association of mitochondrial dysfunction with IR has been demonstrated in skeletal muscle. However, there is a paucity of knowledge regarding mitochondria alteration in adipose tissue (AT) in the pathogenesis of IR. This study suggests that IR and oxidative stress occur before the biphasic changes of mitochondria in AT, and the VF plays a more crucial role.
Studies in skeletal muscle have demonstrated a strong association of mitochondrial dysfunction with IR and type 2 diabetes (T2DM) (16, 35, 36). The increased intramyocellular lipid content in insulin-resistant individuals has been attributable to an inherited defect in mitochondrial oxidative phosphorylation (36). It has been demonstrated that there are coordinated reductions of genes of oxidative metabolism in muscle biopsies from humans with IR/T2DM (35). These studies suggest that mitochondrial dysfunction may be a cause of IR. However, recent animal studies have demonstrated that mitochondrial alterations do not precede the onset of IR but result from increased reactive oxygen species (ROS) production in muscle in diet-induced diabetic mice (5, 19). Furthermore, mitochondrial ROS production is a common feature of many cellular models of IR. When exposed to agents that reduce ROS production, IR in these cellular models is rapidly reversible (19). In our study of mitochondrial DNA (mtDNA) copy number of peripheral leukocytes in people with glucose dysregulation, the mtDNA content is correlated with degree of hyperglycemia, but not IR (58), suggesting the changes of mtDNA biogenesis were secondary to the emergence of hyperglycemia. These findings call into question the causal relationship between IR and mitochondrial metabolism.
However, there remains still a paucity of knowledge regarding the alteration of mitochondria in adipose tissue (AT) in the pathogenesis of IR in obesity. Accumulating evidence suggest that deranged adipocyte metabolism and altered body fat distribution are important determinants of IR (3, 12, 40, 45, 49). Visceral fat (VF) excess correlates with cardiovascular risk factors (13, 28, 51) and is independently associated with mortality (24). On the contrary, peripheral fat may even have a protective effect (39, 62). Fat accumulation in an insulin-sensitive tissue is an important determinant of its sensitivity to insulin (16, 22, 49). Fatty liver or hepatic steatosis is no longer considered to be a benign manifestation (9, 29, 33, 46). The molecular events linking excessive fat to IR have focused on the oxidative stress and chronic inflammation in accumulated AT (11, 14, 15, 21, 38, 50, 57). Furthermore, localized AT hypoxia has been suggested to be a unified cellular mechanism for the variety of metabolic disturbance (60). Abdominally obese patients with an excess of visceral AT have elevated plasma CRP concentrations and reduced adiponectin concentrations (4, 10, 27, 37, 54). Moreover, there is evidence of macrophage infiltration in AT, which could contribute to the inflammation in obese patients (56).
The purpose of this study was to observe the mitochondrial alterations in visceral and subcutaneous AT in C57BL/6J mice fed high-fat high-sucrose diets (HFHSD) during different stages of development of IR and diabetes. The results of this study may shed light on the association and a possible causal relationship between mitochondria, IR, and deranged fat metabolism.
Results
Metabolic characteristics of mice under HFHSD and chow diet feeding
The metabolic characteristics of the mice are summarized in Table 1. There was a significant increase in body weight and fasting blood sugar and impaired glucose tolerance in the HFHSD group starting 4 weeks into the diets. At the same time, there was impaired insulin sensitivity, as demonstrated by the intraperitoneal insulin tolerance tests (IPITT).
Table 1.
Metabolic Characteristics of Mice Under High-Fat High-Sucrose Diet and Chow Diet Feeding
| Animal body weight (g) | ||||
|---|---|---|---|---|
| 1 month | 2 month | 6 month | 12 month | |
| CD | 24.3±0.6 | 25±1.1 | 32.6±2.0 | 45.6±1.6 |
| HFHSD | 28.7±2.8 | 32.8±3.9 | 46.7±5.6 | 61±6.2 |
| p-value | 0.00 | 0.00 | 0.00 | 0.00 |
| Animal body fat (volume measured by micro-CT, mm3) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 month | 2 month | 6 month | 12 month | |||||||||
| VF | SF | VF/SF | VF | SF | VF/SF | VF | SF | VF/SF | VF | SF | VF/SF | |
| CD | 831±96 | 747±73 | 1.1±0.0 | 962±13 | 819±75 | 1.2±0.1 | 1995±249 | 1864±287 | 1.1±0.0 | 5905±489 | 5029±573 | 1.2±0.1 |
| HFHSD | 1370±157 | 961±103 | 1.4±0.1 | 2948±587 | 1885±234 | 1.5±0.1 | 6758±1301 | 6689±965 | 1.1±0.1 | 8440±386 | 7433±363 | 1.1±0.0 |
| p-value | 0.04 | 0.19 | 0.01 | 0.03 | 0.01 | 0.05 | 0.00 | 0.00 | 0.05 | 0.00 | 0.00 | 0.40 |
| IPGTT (blood glucose measured by the glucose meter, mg/dl) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 month | 2 month | 6 month | 12 month | |||||||||
| 0 min | 60 min | 120 min | 0 min | 60 min | 120 min | 0 min | 60 min | 120 min | 0 min | 60 min | 120 min | |
| CD | 86±11 | 360±30 | 186±8.2 | 95±5.5 | 411±44 | 241±19 | 130±26 | 330±37 | 228±33 | 169±42 | 339±107 | 362±145 |
| HFHSD | 102±3.5 | 377±25 | 243±21 | 137±25 | 502±143 | 333±88 | 178±30 | 409±76 | 352±107 | 217±40 | 679±186 | 561±216 |
| p-value | 0.03 | 0.45 | 0.00 | 0.02 | 0.19 | 0.04 | 0.00 | 0.01 | 0.01 | 0.04 | 0.03 | 0.15 |
| IPITT (mean percent of baseline blood glucose) | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 month (%) | 2 month (%) | 6 month (%) | 12 month (%) | |||||||||||||
| 0 min | 30 min | 45 min | 60 min | 0 min | 30 min | 45 min | 60 min | 0 min | 30 min | 45 min | 60 min | 0 min | 30 min | 45 min | 60 min | |
| CD | 100 | 59±21 | 51±18 | 53±28 | 100 | 58±11 | 42±11 | 34±06 | 100 | 63±21 | 55±24 | 43±15 | 100 | 69±27 | 46±14 | 32±10 |
| HFHSD | 100 | 86±11 | 80±04 | 72±03 | 100 | 68±07 | 51±08 | 43±05 | 100 | 95±20 | 92±34 | 83±26 | 100 | 84±14 | 66±13 | 64±16 |
| p-value | ND | 0.06 | 0.02 | 0.22 | ND | 0.04 | 0.05 | 0.00 | ND | 0.00 | 0.08 | 0.02 | ND | 0.21 | 0.03 | 0.00 |
Data are expressed as mean±SD of 5–10 mice per group.
CD, chow diet; HFHSD, high-fat high-sucrose diet; SF, subcutaneous fat; VF, visceral fat; IPGTT, intraperitoneal glucose tolerance test; IPITT, intraperitoneal insulin tolerance test.
The HFHSD group had significantly greater VF and subcutaneous fat (SF), as compared with the chow diet (CD) group, since 4 and 8 weeks of the diet, respectively. The ratio of VF to SF was stable in the CD group during the 12-month experiment. However, the ratio in the HFHSD group was significantly higher in the early stage (1st and 2nd month) of the disease development, indicating a more prompt response of the VF to nutrition excess.
Characteristics of adipocytes in VF and SF
The detailed cell sizes of the visceral and subcutaneous adipocytes are shown in Figure 1.
FIG. 1.
Characteristics of adipocytes in the VF and SF over the course of the 12-month experiment. (A) Microscopy image (400×) of adipose tissue in H&E stain. (B) Comparison of the cell size in SF and VF adipocytes between CD and HFHSD mice. (C) The changes of cell size in different adipose tissue over the course of the experiment. Cell size of adipocytes is analyzed by the ImageJ software. Four hundred to 500 cells are randomly selected for each treatment group. Results were obtained from three independent experiments and are expressed as mean±SE. CD, chow diet; H&E, hematoxylin and eosin; HFHSD, high-fat high-sucrose diet; SF, subcutaneous fat; VF, visceral fat.
Figure 1A shows hematoxylin and eosin (H&E) staining of the AT. Figure 1B compares the cell size of SF and VF adipocytes between CD and HFHSD mice during the experiment. The cell size of both VF and SF adipocytes in the HFHSD group became larger than that in the CD group starting 2 months into the diet. Within the HFHSD group, the cell size of VF adipocytes was found to be larger than that of SF adipocytes starting 2 months of the diet. Within the CD group, VF adipocytes were found to be larger than SF adipocytes at the12th month of the diet. Figure 1C summarizes the changes of cell size in different AT over the course of the experiment. In the CD group, the cell size of both SF and VF adipocytes did not increase until the12th month of the diet. In the HFHSD group, the cell size of both VF and SF adipocytes increased starting 2 months into the diet. Besides the alteration of cell sizes of the adipocytes, AT hypoxia and the resulting chronic inflammation in SF and VF were compared. Figure 2A shows the immunofluorence expression of hypoxia-inducible factors 1α (HIF-1α) and p-NFκB p65 in AT. Figure 2B shows the western blot analysis of the protein levels of HIF-1α and p-NFκB p65 over the course of the experiment. Figure 2C compares the expression of HIF-1α in VF and SF between CD and HFHSD mice. Figure 2D compares the expression of p-NFκB p65/NFκB ratio in VF and SF between CD and HFHSD mice during the course of the experiment. Expression of HIF-1α was more evident in the VF of HFHSD mice than CD mice at 2 and 6 months of the diet. Expression of HIF-1α was more evident in the SF of HFHSD mice than CD mice at 6 months of the diet. Similarly, a markedly increased expression of p-NFκB p65 was detected in the VF of HFHSD mice at the 2nd and 6th month and in the SF at the 6th month of the experiment.
FIG. 2.
Expression of HIF-1α and p-NFκB p65 in the VF and SF over the course of the 12-month experiment. (A) Immunofluorescence staining reveals the expression of HIF-1α (upper panel, green fluorescence), p-NFκB p65 (middle panel, red fluorescence), and merged image of HIF-1α, p-NFκB p65, and cell nuclei (lower panel) in adipose tissue, represent three repeats (1000×). (B) Western blot analysis of HIF-1α and p-NFκB p65 during the course of the experiment. (C) Comparison of HIF-1α in VF and SF between CD and HFHSD mice. The data are normalized to the CD group=1 in each time point. (D) Comparison of p-NFκB p65/NFκB in VF and SF between CD and HFHSD mice. The data are normalized to CD group=1 in each time point. Results were obtained from three independent experiments and are expressed as mean±SE. HIF-1α, hypoxia-inducible factors 1α; p-NFκB p65, p-transcription factor NFκB p65.
Changes of intracellular and mitochondrial ROS in AT
Figure 3A shows the fluorescence expression of dichlorofluorescein (DCF) in frozen sections of AT under laser confocal microscope. Figure 3B compares the intracellular steady-state level of ROS in VF and SF between CD and HFHSD mice. The intracellular steady-state level of ROS in both VF and SF increased significantly in HFHSD mice, compared to CD mice, starting 2 months into the diets. Within the HFHSD group, there was higher intracellular steady-state level of ROS in VF than in SF starting as early as in the 1st month. Within the CD group, there was no difference of intracellular steady-state level of ROS between VF and SF throughout the 12-month study. The data showed that a more prompt (in the 1st month) and greater oxidative stress occurred in VF of HFHSD mice. Figure 3C summarizes the changes of intracellular ROS in different AT over the course of the experiment. There was a trend of progressive increase of intracellular ROS in the SF of HFHSD mice, whereas an early abrupt increase of intracellular ROS was observed in the VF, reaching plateau at the 6th month and declined thereafter.
FIG. 3.
Changes of intracellular and mitochondrial ROS in frozen sections of adipose tissue. (A) Merged image of DCF (green fluorescence) and cell nuclei (blue fluorescence) under laser confocal microscope, represent three repeats (2000×). (B) Comparison of intracellular steady-state level of ROS in VF and SF between CD and HFHSD mice. (C) The changes of intracellular steady-state level of ROS in different adipose tissue over the course of the experiment. (D) Merged image of MitoSox Red (red fluorescence) and cell nuclei (blue fluorescence) under confocal microscope, represent three repeats (2000×). (E) Comparison of mitochondrial steady-state level of ROS in VF and SF between CD and HFHSD mice. (F) The changes of mitochondrial steady-state level of ROS in different adipose tissue over the course of the experiment. Data are calculated from 100 to 200 cells randomly selected for each treatment group. Relative quantification of intensity of fluorescence is determined with the use of the ImageJ software. Data were obtained from three independent experiments, and the results are expressed as mean±SE. ROS, reactive oxygen species.
Figure 3D shows the fluorescence expression of MitoSox Red in frozen section of AT under laser confocal microscope. Figure 3E compares the mitochondrial steady-state level of ROS in VF and SF between CD and HFHSD mice. Mitochondrial steady-state level of ROS in both VF and SF increased significantly in HFHSD mice, compared to CD mice, at 2–6 months of the diets. Within the HFHSD group, higher mitochondrial steady-state level of ROS in VF than in SF was noted at the 2nd month. Within the CD group, there was no difference of mitochondrial steady-state level of ROS between VF and SF throughout the 12-month study. Figure 3F summarizes the changes of mitochondrial ROS in different AT over the course of the experiment. There was only significant increase of mitochondrial ROS in the AT of HFHSD mice. The increase of ROS in VF was earlier and greater than that in the SF in HFHSD mice.
Alterations of mitochondrial bioenergetics in AT
Alterations of mitochondrial oxygen consumption rate
Figure 4A compares the fresh AT mitochondrial oxygen consumption rate (OCR) in VF and SF between CD and HFHSD mice during 1–6 months of the experiment. The OCR in VF increased significantly in HFHSD mice, compared to CD mice, at 2, 4, and 6 months of the diets. The OCR in SF increased transiently in HFHSD mice, compared to CD mice, at the 2nd month. Figure 4B summarizes the changes of mitochondrial OCR in different AT during 1–6 months of the experiment. Within the CD group, there was no change of OCR in VF and SF. Within the HFHSD group, there was rapid and stable elevated OCR in VF during 2–6 months of the diet, whereas only a short-term increase at the 2nd month was detected in the SF.
FIG. 4.
Alterations of mitochondrial bioenergetics in adipose tissue. (A) Comparison of mitochondrial oxygen consumption rate (OCR) in VF and SF between CD and HFHSD mice. (B) The changes of mitochondrial OCR in different adipose tissue over the course of the experiment. (C) Comparison of mitochondrial ATP content in VF and SF between CD and HFHSD mice. (D) The changes of mitochondrial ATP content in different adipose tissue over the course of the experiment. Data were obtained from three independent experiments and are expressed as mean±SE.
Alterations of mitochondrial ATP content
Figure 4C compares the mitochondrial ATP content in VF and SF between CD and HFHSD mice. The ATP content in VF increased significantly in HFHSD mice, compared to CD mice, at 4 and 6 months of the diets. Within the HFHSD mice, there was more ATP content in VF than in SF at 6 month of the diet. Figure 4D summarizes the changes of mitochondrial ATP content in different AT over the course of the experiment. There had been increased ATP levels since the 4th month, reaching peak at the 6th month and decreased at the 12th month in the VF of the HFHSD group. There was no significant change of ATP levels in the SF and VF of CD mice and the SF of HFHSD mice.
Oxidative damage of AT
We compared the extent of oxidative damage of protein and nuclear DNA between VF and SF in both the groups. We found the expression of protein carbonylation to be greater in VF at 2 and 6 months, and in SF at 6 months of the diet in HFHSD mice, compared to CD mice (Fig. 5A, B).
FIG. 5.
Changes of oxidative damage in adipose tissue. (A) Representative images of expression of protein carbonylation in adipose tissue. (B) Representative bar chart of oxidative protein damage determined with the use of the ImageJ software. The data are normalized to the CD group=1 in each time point. Results were obtained from three independent experiments and are expressed as mean±SE. (C) Comparison of oxidative DNA damage by labeling index of 8-OHdG in 500–800 adipocytes in each treatment group. Results were obtained from three independent experiments and are expressed as mean±SE. 8-OHdG, 8-hydroxy-2′-deoxyguanosine.
The expression of 8-hydroxy-2′-deoxyguanosine (8-OHdG) was greater in VF at 1st, 6th and 12th months in HFHSD mice, compared to VF of CD mice. Within the HFHSD group, more DNA damage in VF than SF was detected in later stage of experiment at 6 and 12 months of the diet. Within the CD group, there was no difference in 8-OHdG expression between VF and SF throughout the 12-month study period (Fig. 5C).
Alterations of mitochondrial biogenesis in AT
Alterations of mtDNA content
Figure 6A compares the mtDNA content in SF and VF between CD and HFHSD mice. A marked difference of mtDNA content in the VF had been detected in the late stage of experiment. An increase of mtDNA content at 6th month, whereas a decrease of mtDNA at 12th month was observed in HFHSD mice, compared to CD mice. Within the HFHSD group, VF had more mtDNA content than SF at 2nd and 6th month but decreased mtDNA content at the 12th month. Figure 6B summarizes the changes of mtDNA content in different AT over the course of the experiment. Alteration of mtDNA content did not occur until the 6th month of the diet. There was a biphasic response of mtDNA copy number in VF of HFHSD mice—a marked increase at the 6th month followed by a decrease at the 12th month. In the VF of CD mice, only a decrease of mtDNA copy number at the 12th month was observed.
FIG. 6.
Alterations of mtDNA copy number in adipose tissue. (A) Comparison of mtDNA content in SF and VF between CD and HFHSD mice. (B) The changes of mtDNA content in different adipose tissue over the course of the experiment. mtDNA copy number is calculated by the threshold cycle number values of the nuclear Tert gene and the mitochondrial ND1 gene in the same quantitative PCR run. The data were obtained from three independent experiments and are expressed as mean±SE of the logarithmic transformed value of the relative mtDNA copy number. mtDNA, mitochondrial DNA.
Alterations of mitochondrial biogenesis
As shown in Figure 7A and B, until the 6th month, there was a markedly increased expression of the mitochondrial biogenesis regulators, PPARγ coactivator 1α (PGC-1α) and transcription factor A, mitochondrial (Tfam), and the component of the electron transport chain, ATP5A and the mitochondrial antioxidant MnSOD in the VF of the HFHSD group. This increase in mitochondrial biogenesis, however, was followed by a generalized decrease of PGC-1α, Tfam, ATP5A, and MnSOD in the VF at the 12th month of the experiment. This biphasic response of mitochondrial biogenesis was observed mainly in the VF; only a transient increase of Tfam at 6th month in the SF was observed in the HFHSD group.
FIG. 7.
Alterations of mitochondrial biogenesis in adipose tissue over the 12-month experiment. (A) Representative western blots of expression of PGC-1α (92 kDa), Tfam (24 kDa), ATP5A (60 kDa), MnSOD (24 kDa), catalase (60 kDa), and β-actin protein (43 kDa). (B–F) Representative bar chart of PGC-1α, Tfam, ATP5A, MnSOD, and catalase protein expression. The amount of detected protein is quantified by the ImageJ software and is expressed as the ratio to β-actin protein. The data are normalized to the CD group=1 in each time point. The results are shown as mean±SE and obtained from three independent experiments. MnSOD, superoxide dismutase 2, mitochondrial; PGC-1α, PPARγ coactivator 1α; Tfam, transcription factor A, mitochondrial.
Alteration of mitochondrial ultrastructure in AT
Figure 8 compares the alterations in the mitochondrial structure in SF and VF between CD and HFHSD mice during the course of the experiment. There were no obvious changes of mitochondrial ultrastructure in the SF and VF of CD mice throughout the experiment. In the SF and VF of baseline, the portion of cytoplasm that is near to the fat cell nucleus contains many round profiles of mitochondria with cisternal cristae (Fig. 8A). Some lipid droplets were observed within the cytoplasm. In the cells of SF and VF of CD mice at 6 month of age (Fig. 8B), the ultrastructure of mitochondria and cytoplasm was similar to baseline. In the cells of SF and VF of HFFSD mice at 6 month of age, the number of membranous vesicles near-by the mitochondria appeared to be increasing (Fig. 8B). The transverse diameters of mitochondria became larger in the VF of HFHSD mice but do not reach statistical significance at 6 months of age (Fig. 8C). At 12 month of age, however, the diameter of mitochondria of VF of HFHSD mice was significantly larger than that of VF of CD mice and larger than that of SF of HFHSD mice (p<0.01). In some fat cells of mice at 12 month of age, the number of small lipid droplets also increased. The degenerative changes were noted in the fat cells of VF of HFHSD mice at 12th month. Marked swelling and distortion of the mitochondria were detected (upper figure of Fig. 8D). Apoptotic body-like structures resembling disrupted nuclear material (bottom figure of Fig. 8D) and disrupted cytoplasm were frequently found associated with the inner surface of cytoplasm in many fat cells. Fragmentation of cytoplasm was also found in some fat cells (Fig. 8D).
FIG. 8.
Transmission electron microscopy images of changes in mitochondrial ultrastructure in the white adipose tissue. The fat of white fat cell (fc) occupies the bulk of cell. The thin cytoplasm of fat cells envelopes the whole surface of fat. The outer surface of cytoplasm, facing the connective tissue, is covered with a thin layer of basal lamina (arrows). (A) Baseline fat cells at the beginning of experiment. Many round profiles of mitochondria (m) with cisternal cristae and some lipid droplets (l) are observed within the cytoplasm. (B) Fat cells at 6 and 12 months of age. There were no obvious changes of mitochondrial ultrastructure in the SF and VF of CD mice. Progressive swelling and degenerative changes of mitochondria were detected in HFHSD mice. (C) Statistical analysis of mitochondrial diameter. (D) Signs of degenerative changes in fat cells of VF of HFHSD mice at 12th month. Marked swelling and distortion of the mitochondria are detected (upper figure). Apoptotic body-like structures (ap) are frequently found in many fat cells. Fragmentation of cytoplasm, marked by asterisks, is found in some fat cells.
Discussion
AT can respond rapidly and dynamically to alterations in nutrient excess and deprivation by AT remodeling (32, 52). In our diet-induced obesity mouse model, calorie overfeeding in C57BL/6J male mice rapidly resulted in increased body fat, plasma glucose levels, and IR (Table 1), suggesting an acute modulation of tissue insulin sensitivity associated with the expansion of AT. In the AT of HFHSD mice, there was higher steady-state ROS level (Fig. 3) and tissue oxidative damage (Fig. 5) compared to AT of the CD group. Furthermore, we observed a difference between SF and VF in the HFHSD group. VF expanded more rapidly than the SF, as shown by a greater VF/SF ratio in early stage of experiment (Table 1) and produced ROS earlier (Fig. 3) in the HFHSD group. Theoretically, the possible mechanism of prompt response of VF to nutrition excess may be attributed to the hypothesis of ectopic fat storage syndrome (40). The relative inability of SF to act as a protective metabolic sink and therefore a limited capacity to accommodate an increased energy influx and resulting in flow of lipid to other areas. Alternatively, VF was shown to have significantly higher rates of fractional glucose uptake per volume than SF in a recent study using dynamic PET imaging uptake of 18F-FDG at a steady-state insulin infusion (61).
We also measured the cross-sectional volume of the adipocytes in VF and SF, and VF adipocytes to be larger in the HFHSD group starting at the 2nd month (Fig. 1A, B). There was an earlier and more prominent expression of HIF-1α and p-NFκB p65 in VF adipocytes in HFHSD mice (Fig. 2). These results support the hypothesis that unhealthy AT expansion induces massive enlargement of existing adipocytes along with limited angiogenesis and ensuing microhypoxia (32, 52). The proinflammatory responses of NFκB in VF may be implicated to the ultimate development of systemic IR (47, 59). Our data suggest that VF plays a more crucial role in the initiation of the modulation of metabolic response and support the clinical observation that VF excess correlates with cardiovascular risk factors (13, 28, 51) and is independently associated with mortality (24).
The early instigator of obesity-associated MtS has been proposed to be increased oxidative stress in accumulated fat, rather than liver or skeletal muscle in an animal experiment (15). In our study, increased intracellular ROS production in AT occurred immediately following the expansion of AT in the 1st month and systemic IR increased concurrently with intracellular ROS overproduction. Both phenomena are early events in this time course experiment. Following the increased intracellular ROS, mitochondrial OCR and ROS in HFHSD mice increased at the 2nd month when increased expression of HIF-1α was detected at the same time. These findings were not consistent with the results in cell suspensions of fibroblasts exposure to 24 h of hypoxia, in which HIF-1 downregulated mitochondrial oxygen consumption (34). However, in a study of hypoxic osteoclasts, hypoxia (24 h, 2% O2) increased ATP production and mitochondrial electron transport chain activity (30). This atypical HIF-driven pathway was proposed to be an adaptive mechanism of osteoclasts to permit rapid bone resorption. From the literature reviewed, the interaction between mitochondria and HIF-1α may be complex and interdependent; the stabilization of HIF-1α expression requires high rates of the TCA cycle and ROS production (18, 23, 48). In our study, an early increase of ROS may ensure HIF expression, which was, however, accompanied by increased OCR in AT. Whether it is a cell-type difference of adaptive mechanism to rapid cellular metabolic change or possibly HIF derangements to increase O2 consumption needs further investigation.
In this study, we observed a time difference between the increase of intracellular and mitochondrial ROS. Under physiological condition, mitochondria have been proved to be the major source of cellular ROS. However, there is an independent mechanism responsible for the generation of ROS. A cell membrane-associated enzyme NADPH oxidase, activated through the PKC-dependent pathway, may contribute to oxidative stress (31). There is a recent study indicating that NADPH oxidase-mediated triggering of inflammasome activation plays an important role in the pathogenesis of mouse glomerular injury induced by hyperhomocystinemia (1). Under stress conditions, ROS may be generated from different intracellular sources, such as NADPH oxidase. In our experiment, increase of intracellular ROS marker measured by DCFH preceded the increase of mitochondrial ROS marker (MitoSox Red). Therefore, it is rational to suggest that mitochondrial oxygen consumption and ROS production (at the 2nd month) could response slower after the initiation of NADPH oxidase-dependent generation of ROS (at the 1st month).
Changes of mitochondrial biogenesis (mtDNA content, PGC-1α, Tfam, ATP5A, MnSOD) were late events. Although increase of intracellular and mitochondrial ROS production and AT oxidative damage was observed early in the 1st and 2nd month, the mice showed no evidence of alteration of mitochondrial biogenesis at this time. An extended HFHSD diet intervention till the 6th month, under a sustained ROS overproduction, induced a marked increase of mitochondrial biogenesis in AT. The response of increase of mitochondrial biogenesis was more obvious in VF. However, a further extension of HFHSD diet intervention until the 12th month resulted in a generalized decrease of mitochondrial biogenesis (mtDNA content, PGC-1α, Tfam, ATP5A, MnSOD) in the VF despite sustained intracellular ROS production. The mitochondrial ROS and HIF-1α overproduction disappeared along with the decreased mitochondrial biogenesis at the 12th month. These changes were supported by the alterations of mitochondrial ultrastructure under transmission electron microscope. In the VF of HFHSD mice, marked swelling and distortion of the mitochondria associated with disarrayed cristae, disrupted membrane, and apoptotic bodies were detected at 12th month of the experiment.
Our 12-month time course experiment revealed a biphasic response of alterations of mitochondrial biogenesis during the pathogenesis of nutrient-induced obesity. The changes in mitochondrial biogenesis are probably related to the oxidative stress—an initial compensatory increase to overcome the oxidative damage and followed by exhaustion once the oxidative damage progresses beyond the threshold of self-repair (25, 26, 55). Aging is not a factor to affect mitochondria biogenesis in this experiment since the lifespan for C57BL/6J male mice is around 800 days (44). Superoxide is a fleeting molecule with a half-life that lasts no longer than minutes. However, the cellular superoxide targets with a long half-life, once modified by reactive species, can exert an altered cellular function over a prolonged time. Clinically, ROS overproduction by mitochondria has been proposed to cause the onset and progression of diabetes and its complications (6, 8, 43). In our experiment, the mitochondrial ROS overproduction decreased at the 12th month, but the increased expression of 8-OHdG in VF of HFHSD mice persisted. Therefore, metabolic memory can last for a long time after the disappearance of ROS overproduction (7). At the end of this experiment, although the increased mitochondrial ROS production is no longer detectable, the mitochondrial damage is irreversible.
Whether there is a tissue-specific difference to response to ROS between skeletal muscle and AT is not known. Bonnard et al. (5), studying the skeletal muscles of diet-induced obese C57BL/6J mice, found decreased mitochondrial biogenesis and mitochondrial number, and an alteration of mitochondrial structure in mice fed the HFHSD for 16 weeks. In their experiment, the decrease of mitochondrial biogenesis in skeletal muscle occurred much earlier than that in AT in our experiment. Their mice did not demonstrate an initial increase of mitochondrial biogenesis before the 16th week. However, both experiments reported that mitochondrial alterations did not precede the onset of IR and both showed that mitochondrial alterations resulted from increased ROS production in muscle and AT, in mice with diet-induced diabetes.
Furthermore, our observation that mitochondrial alterations do not precede the onset of IR is limited to the development of obesity and IR within a species with the same genetic background. A causal relationship may exist when different species or different individuals are compared. In a hepatic steatosis experiment using Otsuka Long-Evans Tokushima Fatty rats, which are a commonly studied model of obesity and T2DM, Rector et al. demonstrated that reduced hepatic fatty acid oxidation and mitochondrial enzyme activity preceded fatty liver development and IR (42). A higher susceptibility to IR is likely in individuals who have low mitochondrial capacity.
In conclusion, this study found that in diet-induced obese mice, IR and ROS production occur before the biphasic changes of mitochondrial biogenesis, an occurrence that may be related to oxidative stress in VF.
Materials and Methods
Animals
C57BL/6J male mice were housed five per cage in a temperature-controlled room with a 12-h light–dark cycle. They were allowed access to water and diet ad libitum. The experimental group was fed a HFHSD (60% kcal fat) and the control group a CD (10% kcal fat). Diet was purchased from TestDiet® Division of LabDiet®. It contained about 20% protein and met the American Institute of Nutrition requirements for mice with regard to mineral and vitamin content. Animals were maintained on these diets for 12 months.
C57BL/6J mice fed HFHSD were compared with those fed CD at 1, 2, 6, and 12 months during disease development. Blood tests for plasma sugar, plasma insulin levels, and IR index by intraperitoneal glucose tolerance tests (IPGTT) and IPITT, and body fat measurement categorized into VF and SF were checked. We compared cell size, expression of hypoxia, oxidative stress and antioxidants capacity, and mitochondrial biogenesis in adipocytes from VF and SF.
The animal protocol was approved by the Institutional Animal Care and Use Committee at the Kaohsiung Chang Gung Memorial Hospital.
Animal glucose and insulin tolerance tests
IPGTT and IPITT were performed at 4, 8, 24, and 48 weeks. All animals fasted 16 h before experiments. Mice were placed in restrainers, and blood samples were obtained by tail bleeding and analyzed by glucose meter (Abbott; Optium Xceed XCN 289-2337) immediately before and at 5, 15, 30, 60, 90, and 120 min after an IP glucose (2g/kg in 0.9% NaCl) or insulin (0.75 U/kg) injection.
Assessment of VF and SF by microcomputed tomography
Mice were scanned by rotation X-ray (50 kV, 200 μA, and 316 ms) using a small animal imaging system (www.skyscan.be) (Skyscan-1076; Skyscan). Briefly, serial radiographic images were performed on anesthetized mice from L1 to sacrum-caudal to measure VF and SF. To capture the adipose depot, the computed tomography density range was set at the upper thresholds of 3–4 and lower thresholds of 8–10 from the 0 to 256 gray scales. VF was determined by mesenteric and retroperitoneal adipose depots. SF was determined by abdominal subcutaneous, inguinal subcutaneous, and epididymal adipose depots.
Tissue collection and extraction
On the day of the experiments, the animals were anesthetized with a muscle injection of ketamin. Blood samples were extracted from the heart, and the tissue samples were immediately isolated. They were frozen in liquid nitrogen (for mtDNA, mRNA, and protein studies) or fixed in 4% formalin (for immunohistochemistry).
Immunofluorescence analysis
The frozen sections (5 μm) of AT were dried in air and then incubated in blocking buffer containing 1.5% normal goat serum and 0.2% Triton X-100 in phosphate-buffered saline (PBS). The slides were washed twice with PBS and then incubated with the primary antibodies, including HIF-1α (1:500; R&D Systems, Inc.) and p-NFκB p65 antibody (1:100; Cell Signaling Technology, Inc.) at 4°C for overnight, followed by repeatedly washed with PBS, and replaced in secondary antibodies conjugated with Alexa 488 and Alexa 546 (1:500) for 1 h at room temperature. The slides were then washed, stained with DAPI, and washed again with PBS. The immunostained slides were observed and recorded under the fluorescence microscope (Olympus) and laser confocal microscope (Zeiss; LMS5).
Measurement of intracellular ROS
The intracellular ROS in AT was performed as previously described (63). Frozen fat tissue cross sections were evaluated by measuring the level of hydrogen peroxide (H2O2) using the probe 2′,7′-dichlorofluorescin diacetate (DCFH-DA; Sigma). Briefly, fat tissue samples were harvested, placed in cold PBS, and embedded/snap-frozen in the tissue-freezing medium (TBS) for cryosectioning. Unfixed fat tissue was cut into 5-μm-thick sections using a Leica CM3050 S cryostat. DCFH (10 μM) was topically applied, and slides were incubated for 30 min in a light-protected chamber at 37°C. DCFH was removed and stained with DAPI, and the sections were coverslipped. Images were obtained in a darkened microscopy room with the fluorescence microscope (Olympus; 1000×) and confocal microscope (Zeiss; LMS5, 2000×). Images of several fields were taken for each treatment group, 100–200 cells were randomly selected, and the data acquisition and further fluorescence analysis were performed using the ImageJ software.
Measurement of mitochondrial ROS
The mitochondrial ROS in AT was performed as previously described (2). Frozen fat tissue cross sections from CD- and HFHSD-fed mice were evaluated by measuring the level of mitochondrial superoxide (O2−) production quantified by MitoSox Red kit (Molecular probe, Invitrogen). Fat tissue samples were harvested, placed in cold PBS, and embedded/snap-frozen in the tissue-freezing medium (TBS) for cryosectioning. Unfixed fat tissues were cut into 5-μm-thick sections using the Leica CM3050 S cryostat. Fat tissue were incubated with 5 μM MitoSox Red in the culture medium for 15 min at 37°C, stained with DAPI, and then washed. Images were obtained in a darkened microscopy room with the fluorescence microscope (Olympus; 1000×) and confocal microscope (Zeiss; LMS5, 2000×). Data acquisition and fluorescence analysis were performed as described in the Measurement of Intracellular ROS section.
AT bioenergetics measurements
Measurement of mitochondrial OCR
The OCR of intact AT explants was measured using a Seahorse XF24 analyzer (Seahorse Bioscience). Briefly, freshly isolated AT was rinsed with the unbuffered Dulbecco's modified Eagle medium (pH 7.4). The AT was cut into sections, and 10 mg was placed in each well of an XF 24 Islet Capture Microplate (Seahorse Bioscience). The tissue was then covered with a screen, which allowed free perfusion while minimizing the tissue movement. Unbuffered Dulbecco's modified Eagle medium (500 μl) was then added to each well. The plate was incubated at 37°C in a non-CO2 incubator for 1 h. The baseline OCR was closely monitored until the rates stabilized. At least three replicates from each animal were used for the assay.
Measurement of intracellular ATP
The intracellular ATP in AT was measured using an ATP Colorimetric Assay Kit (ATP Colorimetric Assay Kit; BioVision, Inc.) following the manufacturer's directions.
Measurement of cell size of adipocytes
Fat tissue were fixed in 10% formalin, dehydrated, embedded in paraffin, and sectioned into 3-μm slices for H&E staining. The slides were observed and photographed under the microscope (Olympus). Images of several fields were taken for each treatment group. One hundred to 200 cells were randomly selected. Cell size analysis was carried out using the ImageJ software.
Transmission electron microscopy
Fresh fat tissue was cut into small pieces and fixed in 0.05 M phosphate-buffered glutaraldehyde, postfixed in buffered osmium tetroxide, dehydrated, and embedded in epoxy resin. Semithin sections were stained with methylene blue and examined under a light microscope. Ultrathin sections were double stained with uranyl acetate-lead citrate and examined with the JEM-1230 and JEM-2000 transmission electron microscopes (JEOL).
Quantification of mtDNA copy number by real-time PCR
mtDNA was extracted from mouse AT using QIAamp DNA Mini Kit (QIAGEN). The relative mtDNA copy numbers were measured by real-time PCR and corrected by simultaneous measurement of the nuclear DNA. The forward and reverse primers for a nuclear gene, which are complementary to the Tert gene, were 5′-CTAGCTCATGTGTCAAGACCCTCT-3′ and 5′-GCCAGCACGTTTCTCTCGTT-3′, respectively. The forward and reverse primers for mtDNA, which are complementary to the sequence of the ND1 gene, were 5′-ACCATTTGCAGACGCCATAA- 3′ and 5′-TAAATTGTTTGGGCTACGG-3′, respectively. The PCR was performed in a LightCycler® 480 System (Roche Applied Science), using the SYBR® Green PCR Master Mix Kit (2×) (Applied Biosystems). DNA (10 ng) was mixed with 10 μl SYBR Green PCR Master Mix Kit containing 500 nM of forward and reverse primers to a final volume of 20 μl. The PCR conditions were 10 min at 95°C, followed by 45 cycles of denaturation at 95°C for 10 s, annealing at 60°C for 15 s, and primer extension at 72°C for 20 s. The melting curves analysis was performed using Dissociation Curve Software and required an additional 20 min after the real-time PCR. The amplified products were denatured and annealed at different temperatures to detect their specific melting temperatures. Samples showing primer dimers or unspecific fragments were excluded. The threshold cycle number (Ct) values of the Tert gene and the mitochondrial ND1 gene were determined for each in the same quantitative PCR run. Each measurement was performed at least three times and normalized in each experiment against a serial dilution of a control DNA sample. Ct values were used as a measure of the input copy number, and Ct value differences used to quantify mtDNA copy number relative to the Tert gene were calculated as follows: relative copy number (Rc)=2(2ΔCt), where ΔCt is the Ct Tert – Ct ND1. Good reproducibility was found both within and between runs. The intra-assay coefficients of variation of Ct values were around 2.1% and 3.4% for ND1 and Tert gene, respectively. The interassay coefficients of variation of Ct values were around 4.5% and 5.1% for ND1 and Tert gene, respectively.
Western blot analysis
AT was homogenized and the proteins were dissolved in the Protein Extraction reagent (Termo Scientific). Primary antibodies included HIF-1α (Sigma Aldrich Co.), NFκB (Sigma Aldrich Co.), p-NFκB p65 (Cell Signaling Technology, Inc.), PGC-1α, Tfam, ATP5A, MnSOD, Catalase (Santa Cruz Biotechnology, Inc.). Secondary antibodies included HRP-conjugated anti-rabbit and anti-mouse antibodies (Santa Cruz Biotechnology, Inc.). The amount of detected protein was quantified by the ImageJ software and was expressed as the ratio to β-actin protein.
Determination of tissue protein carbonylation
The protein carbonylation in AT was measured using an Oxyblot™ Protein Oxidation Detection Kit (Product #S7150; Millipore) following the manufacturer's directions. Fat tissue protein extracts were quantified by BCA assay kit. Ten micrograms of each sample was denatured using 12% sodium dodecyl sulfate (SDS) and derivatized by 15-min incubation with 2-4 dinitrophenyl hydrazine (DNPH; Sigma-Aldrich) at room temperature. After neutralization, samples were separated on a 10% SDS–polyacrylamide gel by electrophoresis and transferred onto nitrocellulose membranes (Biorad). Membranes were blocked with 5% nonfat dry milk in PBS containing 1% Tween 20 (PBST) and then probed overnight with primary antibody specific versus DNPH (Sigma-Aldrich) 1:5000 in PBST/5% nonfat dry milk. After washing with PBST, the membranes were incubated for 1 h in PBST containing the appropriate horseradish peroxidase-conjugated secondary antibody (1:5000; Cell Signaling) and again washed. ECL (Pierce) was used to visualize the peroxidase-coated bands. Densitometric analysis was performed using the ImageJ analysis software.
8-OHdG analysis
The DNA base-modified product 8-OHdG is one of the most commonly used markers for the evaluation of oxidative DNA damage. Immunohistochemical staining of fat tissue was performed on formalin-fixed paraffin sections. Sections were deparaffinized and rehydrated. Sections were incubated with 0.3% H2O2 for 10 min to block endogenous peroxidases. Then, the slides were rinsed with Tris-Buffered Saline Tween-20 (TBST). Sections were placed in a covered humidified chamber with a primary antibody of anti-8OHdG (1:100 dilution; Trevigen) for 1 h at room temperature. Slides were rinsed with TBST and treated with secondary antibody (SuperPicTure Polymer Detection Kit; Zymed Laboratories) and DAB chromogen according to the manufacturer's directions. Sections were counterstained for nuclei with 10% methyl green. The labeling index of adipocytes was defined as the number of nuclei positive for staining among the cells counted in five fields of view under microscope (200×). The total cell counts ranged from 500 to 800 in samples obtained from different individuals.
Statistical analysis
Results are expressed as mean±standard deviation. Logarithmic transformation of data of the relative mtDNA copy number was used since the original values showed a nonnormal distribution. Between-group and within-group comparisons were performed using the unpaired and paired t tests, respectively. Multiple comparisons of variables among different time periods were performed with analysis of variance. All statistical operations were performed using the Statistical Package for Social Science program (SPSS for Windows, Version 17; SPSS). A p<0.05 was considered significant.
Abbreviations Used
- 8-OHdG
8-hydroxy-2′-deoxyguanosine
- AT
adipose tissue
- CD
chow diet
- CVD
cardiovascular diseases
- DCF
dichlorofluorescein
- DNPH
2-4 dinitrophenyl hydrazine
- H&E
hematoxylin and eosin
- HFHSD
high-fat high-sucrose diets
- HIF1α
hypoxia-inducible factors 1α
- IPGTT
intraperitoneal glucose tolerance tests
- IPITT
intraperitoneal insulin tolerance tests
- IR
insulin resistance
- MnSOD
superoxide dismutase 2, mitochondrial
- mtDNA
mitochondrial DNA
- MtS
metabolic syndrome
- OCR
oxygen consumption rate
- PBS
phosphate-buffered saline
- PG-C1α
PPARγ coactivator 1α
- p-NFκB p65
p-transcription factor NFκB p65
- ROS
reactive oxygen species
- SF
subcutaneous fat
- T2DM
type 2 diabetes
- Tfam
transcription factor A, mitochondrial
- VF
visceral fat
Acknowledgments
This work was supported by grants NSC-96-2628-B-182-001-MY2 and 98-2314-B-182-007-MY3 from the National Science Council (Republic of China) and grants CMRPG850263, CMRPG891111, CMRPG891112, and CMRPG891113 from the Chang Gung University College of Medicine and Kaohsiung Chang Gung Memorial Hospital. The authors are grateful to Miss Shui-Chin Lu and Miss Huey-Ju Lee for their technical assistance in transmission electron microscopy.
Author Disclosure Statement
The authors report no conflicts of interest.
Reference
- 1.Abais JM, Zhang C, Xia M, Liu Q, Gehr TW, Boini KM, and Li PL. NADPH oxidase-mediated triggering of inflammasome activation in mouse podocytes and glomeruli during hyperhomocysteinemia. Antioxid Redox Signal 18: 1537–1548, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Andre L, Gouzi F, Thireau J, Meyer G, Boissiere J, Delage M, Abdellaoui A, Feillet-Coudray C, Fouret G, Cristol JP, Lacampagne A, Obert P, Reboul C, Fauconnier J, Hayot M, Richard S, and Cazorla O. Carbon monoxide exposure enhances arrhythmia after cardiac stress: involvement of oxidative stress. Basic Res Cardiol 106: 1235–1246, 2011 [DOI] [PubMed] [Google Scholar]
- 3.Bays H, Mandarino L, and DeFronzo RA. Role of the adipocyte, free fatty acids, and ectopic fat in pathogenesis of type 2 diabetes mellitus: peroxisomal proliferator-activated receptor agonists provide a rational therapeutic approach. J Clin Endocrinol Metab 89: 463–478, 2004 [DOI] [PubMed] [Google Scholar]
- 4.Berg AH. and Scherer PE. Adipose tissue, inflammation, and cardiovascular disease. Circ Res 96: 939–949, 2005 [DOI] [PubMed] [Google Scholar]
- 5.Bonnard C, Durand A, Peyrol S, Chanseaume E, Chauvin MA, Morio B, Vidal H, and Rieusset J. Mitochondrial dysfunction results from oxidative stress in the skeletal muscle of diet-induced insulin-resistant mice. J Clin Invest 118: 789–800, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Brownlee M. Biochemistry and molecular cell biology of diabetic complications. Nature 414: 813–820, 2001 [DOI] [PubMed] [Google Scholar]
- 7.Ceriello A, Ihnat MA, and Thorpe JE. Clinical review 2: The “metabolic memory”: is more than just tight glucose control necessary to prevent diabetic complications? J Clin Endocrinol Metab 94: 410–415, 2009 [DOI] [PubMed] [Google Scholar]
- 8.Ceriello A. and Motz E. Is oxidative stress the pathogenic mechanism underlying insulin resistance, diabetes, and cardiovascular disease? The common soil hypothesis revisited. Arterioscler Thromb Vasc Biol 24: 816–823, 2004 [DOI] [PubMed] [Google Scholar]
- 9.Chitturi S, Abeygunasekera S, Farrell GC, Holmes-Walker J, Hui JM, Fung C, Karim R, Lin R, Samarasinghe D, Liddle C, Weltman M, and George J. NASH and insulin resistance: Insulin hypersecretion and specific association with the insulin resistance syndrome. Hepatology 35: 373–379, 2002 [DOI] [PubMed] [Google Scholar]
- 10.Cote M, Mauriege P, Bergeron J, Almeras N, Tremblay A, Lemieux I, and Despres JP. Adiponectinemia in visceral obesity: impact on glucose tolerance and plasma lipoprotein and lipid levels in men. J Clin Endocrinol Metab 90: 1434–1439, 2005 [DOI] [PubMed] [Google Scholar]
- 11.Dandona P, Aljada A, Chaudhuri A, Mohanty P, and Garg R. Metabolic syndrome: a comprehensive perspective based on interactions between obesity, diabetes, and inflammation. Circulation 111: 1448–1454, 2005 [DOI] [PubMed] [Google Scholar]
- 12.Despres JP. and Lemieux I. Abdominal obesity and metabolic syndrome. Nature 444: 881–887, 2006 [DOI] [PubMed] [Google Scholar]
- 13.Despres JP, Lemieux I, and Prud'homme D. Treatment of obesity: need to focus on high risk abdominally obese patients. BMJ 322: 716–720, 2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Festa A, D'Agostino R, Jr., Howard G, Mykkanen L, Tracy RP, and Haffner SM. Chronic subclinical inflammation as part of the insulin resistance syndrome: the Insulin Resistance Atherosclerosis Study (IRAS). Circulation 102: 42–47, 2000 [DOI] [PubMed] [Google Scholar]
- 15.Furukawa S, Fujita T, Shimabukuro M, Iwaki M, Yamada Y, Nakajima Y, Nakayama O, Makishima M, Matsuda M, and Shimomura I. Increased oxidative stress in obesity and its impact on metabolic syndrome. J Clin Invest 114: 1752–1761, 2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Goodpaster BH, He J, Watkins S, and Kelley DE. Skeletal muscle lipid content and insulin resistance: evidence for a paradox in endurance-trained athletes. J Clin Endocrinol Metab 86: 5755–5761, 2001 [DOI] [PubMed] [Google Scholar]
- 17.Haffner SM, Valdez RA, Hazuda HP, Mitchell BD, Morales PA, and Stern MP. Prospective analysis of the insulin-resistance syndrome (syndrome X). Diabetes 41: 715–722, 1992 [DOI] [PubMed] [Google Scholar]
- 18.Harris JM, Esain V, Frechette GM, Harris LJ, Cox AG, Cortes M, Garnaas MK, Carroll KJ, Cutting CC, Khan T, Elks PM, Renshaw SA, Dickinson BC, Chang CJ, Murphy MP, Paw BH, Vander Heiden MG, Goessling W, and North TE. Glucose metabolism impacts the spatiotemporal onset and magnitude of HSC induction in vivo. Blood 121: 2483–2493, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Hoehn KL, Salmon AB, Hohnen-Behrens C, Turner N, Hoy AJ, Maghzal GJ, Stocker R, Van Remmen H, Kraegen EW, Cooney GJ, Richardson AR, and James DE. Insulin resistance is a cellular antioxidant defense mechanism. Proc Natl Acad Sci U S A 106: 17787–17792, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Isomaa B, Almgren P, Tuomi T, Forsen B, Lahti K, Nissen M, Taskinen MR, and Groop L. Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care 24: 683–689, 2001 [DOI] [PubMed] [Google Scholar]
- 21.Kahn BB. and Flier JS. Obesity and insulin resistance. J Clin Invest 106: 473–481, 2000 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kim JK, Gavrilova O, Chen Y, Reitman ML, and Shulman GI. Mechanism of insulin resistance in A-ZIP/F-1 fatless mice. J Biol Chem 275: 8456–8460, 2000 [DOI] [PubMed] [Google Scholar]
- 23.Kim SY, Choi JS, Park C, and Jeong JW. Ethyl pyruvate stabilizes hypoxia-inducible factor 1 alpha via stimulation of the TCA cycle. Cancer Lett 295: 236–241, 2010 [DOI] [PubMed] [Google Scholar]
- 24.Kuk JL, Katzmarzyk PT, Nichaman MZ, Church TS, Blair SN, and Ross R. Visceral fat is an independent predictor of all-cause mortality in men. Obesity (Silver Spring) 14: 336–341, 2006 [DOI] [PubMed] [Google Scholar]
- 25.Lee HC. and Wei YH. Mitochondrial biogenesis and mitochondrial DNA maintenance of mammalian cells under oxidative stress. Int J Biochem Cell Biol 37: 822–834, 2005 [DOI] [PubMed] [Google Scholar]
- 26.Lee HC, Yin PH, Lu CY, Chi CW, and Wei YH. Increase of mitochondria and mitochondrial DNA in response to oxidative stress in human cells. Biochem J 348Pt 2: 425–432, 2000 [PMC free article] [PubMed] [Google Scholar]
- 27.Lemieux I, Pascot A, Prud'homme D, Almeras N, Bogaty P, Nadeau A, Bergeron J, and Despres JP. Elevated C-reactive protein: another component of the atherothrombotic profile of abdominal obesity. Arterioscler Thromb Vasc Biol 21: 961–967, 2001 [DOI] [PubMed] [Google Scholar]
- 28.Liu J, Fox CS, Hickson DA, May WD, Hairston KG, Carr JJ, and Taylor HA. Impact of abdominal visceral and subcutaneous adipose tissue on cardiometabolic risk factors: the Jackson Heart Study. J Clin Endocrinol Metab 95: 5419–5426, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Marchesini G, Brizi M, Bianchi G, Tomassetti S, Bugianesi E, Lenzi M, McCullough AJ, Natale S, Forlani G, and Melchionda N. Nonalcoholic fatty liver disease: a feature of the metabolic syndrome. Diabetes 50: 1844–1850, 2001 [DOI] [PubMed] [Google Scholar]
- 30.Morten KJ, Badder L, and Knowles HJ. Differential regulation of HIF-mediated pathways increases mitochondrial metabolism and ATP production in hypoxic osteoclasts. J Pathol 229: 755–764, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Newsholme P, Haber EP, Hirabara SM, Rebelato EL, Procopio J, Morgan D, Oliveira-Emilio HC, Carpinelli AR, and Curi R. Diabetes associated cell stress and dysfunction: role of mitochondrial and non-mitochondrial ROS production and activity. J Physiol 583: 9–24, 2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Otto TC. and Lane MD. Adipose development: from stem cell to adipocyte. Crit Rev Biochem Mol Biol 40: 229–242, 2005 [DOI] [PubMed] [Google Scholar]
- 33.Pagano G, Pacini G, Musso G, Gambino R, Mecca F, Depetris N, Cassader M, David E, Cavallo-Perin P, and Rizzetto M. Nonalcoholic steatohepatitis, insulin resistance, and metabolic syndrome: further evidence for an etiologic association. Hepatology 35: 367–372, 2002 [DOI] [PubMed] [Google Scholar]
- 34.Papandreou I, Cairns RA, Fontana L, Lim AL, and Denko NC. HIF-1 mediates adaptation to hypoxia by actively downregulating mitochondrial oxygen consumption. Cell Metab 3: 187–197, 2006 [DOI] [PubMed] [Google Scholar]
- 35.Patti ME, Butte AJ, Crunkhorn S, Cusi K, Berria R, Kashyap S, Miyazaki Y, Kohane I, Costello M, Saccone R, Landaker EJ, Goldfine AB, Mun E, DeFronzo R, Finlayson J, Kahn CR, and Mandarino LJ. Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: Potential role of PGC1 and NRF1. Proc Natl Acad Sci U S A 100: 8466–8471, 2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Petersen KF, Dufour S, Befroy D, Garcia R, and Shulman GI. Impaired mitochondrial activity in the insulin-resistant offspring of patients with type 2 diabetes. N Engl J Med 350: 664–671, 2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Piche ME, Lemieux S, Weisnagel SJ, Corneau L, Nadeau A, and Bergeron J. Relation of high-sensitivity C-reactive protein, interleukin-6, tumor necrosis factor-alpha, and fibrinogen to abdominal adipose tissue, blood pressure, and cholesterol and triglyceride levels in healthy postmenopausal women. Am J Cardiol 96: 92–97, 2005 [DOI] [PubMed] [Google Scholar]
- 38.Pittas AG, Joseph NA, and Greenberg AS. Adipocytokines and insulin resistance. J Clin Endocrinol Metab 89: 447–452, 2004 [DOI] [PubMed] [Google Scholar]
- 39.Porter SA, Massaro JM, Hoffmann U, Vasan RS, O'Donnel CJ, and Fox CS. Abdominal subcutaneous adipose tissue: a protective fat depot? Diabetes Care 32: 1068–1075, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Ravussin E. and Smith SR. Increased fat intake, impaired fat oxidation, and failure of fat cell proliferation result in ectopic fat storage, insulin resistance, and type 2 diabetes mellitus. Ann N Y Acad Sci 967: 363–378, 2002 [DOI] [PubMed] [Google Scholar]
- 41.Reaven GM. Banting lecture 1988. Role of insulin resistance in human disease. Diabetes 37: 1595–1607, 1988 [DOI] [PubMed] [Google Scholar]
- 42.Rector RS, Thyfault JP, Uptergrove GM, Morris EM, Naples SP, Borengasser SJ, Mikus CR, Laye MJ, Laughlin MH, Booth FW, and Ibdah JA. Mitochondrial dysfunction precedes insulin resistance and hepatic steatosis and contributes to the natural history of non-alcoholic fatty liver disease in an obese rodent model. J Hepatol 52: 727–736, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Rosen P, Nawroth PP, King G, Moller W, Tritschler HJ, and Packer L. The role of oxidative stress in the onset and progression of diabetes and its complications: a summary of a Congress Series sponsored by UNESCO-MCBN, the American Diabetes Association and the German Diabetes Society. Diabetes Metab Res Rev 17: 189–212, 2001 [DOI] [PubMed] [Google Scholar]
- 44.Rowlatt C, Chesterman FC, and Sheriff MU. Lifespan, age changes and tumour incidence in an ageing C57BL mouse colony. Lab Anim 10: 419–442, 1976 [DOI] [PubMed] [Google Scholar]
- 45.Samuel VT, Petersen KF, and Shulman GI. Lipid-induced insulin resistance: unravelling the mechanism. Lancet 375: 2267–2277, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Sanyal AJ, Campbell-Sargent C, Mirshahi F, Rizzo WB, Contos MJ, Sterling RK, Luketic VA, Shiffman ML, and Clore JN. Nonalcoholic steatohepatitis: association of insulin resistance and mitochondrial abnormalities. Gastroenterology 120: 1183–1192, 2001 [DOI] [PubMed] [Google Scholar]
- 47.Schenk S, Saberi M, and Olefsky JM. Insulin sensitivity: modulation by nutrients and inflammation. J Clin Invest 118: 2992–3002, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Schroedl C, McClintock DS, Budinger GR, and Chandel NS. Hypoxic but not anoxic stabilization of HIF-1alpha requires mitochondrial reactive oxygen species. Am J Physiol Lung Cell Mol Physiol 283: L922–L931, 2002 [DOI] [PubMed] [Google Scholar]
- 49.Seppala-Lindroos A, Vehkavaara S, Hakkinen AM, Goto T, Westerbacka J, Sovijarvi A, Halavaara J, and Yki-Jarvinen H. Fat accumulation in the liver is associated with defects in insulin suppression of glucose production and serum free fatty acids independent of obesity in normal men. J Clin Endocrinol Metab 87: 3023–3028, 2002 [DOI] [PubMed] [Google Scholar]
- 50.Shoelson SE, Lee J, and Goldfine AB. Inflammation and insulin resistance. J Clin Invest 116: 1793–1801, 2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Smith JD, Borel AL, Nazare JA, Haffner SM, Balkau B, Ross R, Massien C, Almeras N, and Despres JP. Visceral adipose tissue indicates the severity of cardiometabolic risk in patients with and without type 2 diabetes: results from the INSPIRE ME IAA Study. J Clin Endocrinol Metab 97: 1517–1525, 2012 [DOI] [PubMed] [Google Scholar]
- 52.Sun K, Kusminski CM, and Scherer PE. Adipose tissue remodeling and obesity. J Clin Invest 121: 2094–2101, 2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Trevisan M, Liu J, Bahsas FB, and Menotti A. Syndrome X and mortality: a population-based study. Risk Factor and Life Expectancy Research Group. Am J Epidemiol 148: 958–966, 1998 [DOI] [PubMed] [Google Scholar]
- 54.Wang PW, Hsieh CJ, Psang LC, Cheng YF, Liou CW, Weng SW, Chen JF, Chen IY, Li RH, and Eng HL. Fatty liver and chronic inflammation in Chinese adults. Diabetes Res Clin Pract 81: 202–208, 2008 [DOI] [PubMed] [Google Scholar]
- 55.Wei YH, Lu CY, Lee HC, Pang CY, and Ma YS. Oxidative damage and mutation to mitochondrial DNA and age-dependent decline of mitochondrial respiratory function. Ann N Y Acad Sci 854: 155–170, 1998 [DOI] [PubMed] [Google Scholar]
- 56.Weisberg SP, McCann D, Desai M, Rosenbaum M, Leibel RL, and Ferrante AW, Jr., Obesity is associated with macrophage accumulation in adipose tissue. J Clin Invest 112: 1796–1808, 2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Wellen KE. and Hotamisligil GS. Inflammation, stress, and diabetes. J Clin Invest 115: 1111–1119, 2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Weng SW, Lin TK, Liou CW, Chen SD, Wei YH, Lee HC, Chen IY, Hsieh CJ, and Wang PW. Peripheral blood mitochondrial DNA content and dysregulation of glucose metabolism. Diabetes Res Clin Pract 83: 94–99, 2009 [DOI] [PubMed] [Google Scholar]
- 59.Xu H, Barnes GT, Yang Q, Tan G, Yang D, Chou CJ, Sole J, Nichols A, Ross JS, Tartaglia LA, and Chen H. Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J Clin Invest 112: 1821–1830, 2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Ye J. Emerging role of adipose tissue hypoxia in obesity and insulin resistance. Int J Obes (Lond) 33: 54–66, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Ye J, Gao Z, Yin J, and He Q. Hypoxia is a potential risk factor for chronic inflammation and adiponectin reduction in adipose tissue of ob/ob and dietary obese mice. Am J Physiol Endocrinol Metab 293: E1118–E1128, 2007 [DOI] [PubMed] [Google Scholar]
- 62.Yusuf S, Hawken S, Ounpuu S, Bautista L, Franzosi MG, Commerford P, Lang CC, Rumboldt Z, Onen CL, Lisheng L, Tanomsup S, Wangai P, Jr., Razak F, Sharma AM, and Anand SS. Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. Lancet 366: 1640–1649, 2005 [DOI] [PubMed] [Google Scholar]
- 63.Zarbin MA, Montemagno C, Leary JF, and Ritch R. Regenerative nanomedicine and the treatment of degenerative retinal diseases. Wiley Interdiscip Rev Nanomed Nanobiotechnol 4: 113–137, 2012 [DOI] [PubMed] [Google Scholar]








