Skip to main content
  • More from ADA
    • Diabetes
    • Clinical Diabetes
    • Diabetes Spectrum
    • ADA Standards of Medical Care
    • ADA Scientific Sessions Abstracts
    • BMJ Open Diabetes Research & Care
  • Subscribe
  • Log in
  • Log out
  • My Cart
  • Follow ada on Twitter
  • RSS
  • Visit ada on Facebook
Diabetes Care

Advanced Search

Main menu

  • Home
  • Current
    • Current Issue
    • Online Ahead of Print
    • Special Article Collections
    • ADA Standards of Medical Care
  • Browse
    • By Topic
    • Issue Archive
    • Saved Searches
    • Special Article Collections
    • ADA Standards of Medical Care
  • Info
    • About the Journal
    • About the Editors
    • ADA Journal Policies
    • Instructions for Authors
    • Guidance for Reviewers
  • Reprints/Reuse
  • Advertising
  • Subscriptions
    • Individual Subscriptions
    • Institutional Subscriptions and Site Licenses
    • Access Institutional Usage Reports
    • Purchase Single Issues
  • Alerts
    • E­mail Alerts
    • RSS Feeds
  • Podcasts
    • Diabetes Core Update
    • Special Podcast Series: Therapeutic Inertia
    • Special Podcast Series: Influenza Podcasts
    • Special Podcast Series: SGLT2 Inhibitors
    • Special Podcast Series: COVID-19
  • Submit
    • Submit a Manuscript
    • Journal Policies
    • Instructions for Authors
    • ADA Peer Review
  • More from ADA
    • Diabetes
    • Clinical Diabetes
    • Diabetes Spectrum
    • ADA Standards of Medical Care
    • ADA Scientific Sessions Abstracts
    • BMJ Open Diabetes Research & Care

User menu

  • Subscribe
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
Diabetes Care
  • Home
  • Current
    • Current Issue
    • Online Ahead of Print
    • Special Article Collections
    • ADA Standards of Medical Care
  • Browse
    • By Topic
    • Issue Archive
    • Saved Searches
    • Special Article Collections
    • ADA Standards of Medical Care
  • Info
    • About the Journal
    • About the Editors
    • ADA Journal Policies
    • Instructions for Authors
    • Guidance for Reviewers
  • Reprints/Reuse
  • Advertising
  • Subscriptions
    • Individual Subscriptions
    • Institutional Subscriptions and Site Licenses
    • Access Institutional Usage Reports
    • Purchase Single Issues
  • Alerts
    • E­mail Alerts
    • RSS Feeds
  • Podcasts
    • Diabetes Core Update
    • Special Podcast Series: Therapeutic Inertia
    • Special Podcast Series: Influenza Podcasts
    • Special Podcast Series: SGLT2 Inhibitors
    • Special Podcast Series: COVID-19
  • Submit
    • Submit a Manuscript
    • Journal Policies
    • Instructions for Authors
    • ADA Peer Review
Original Research

Abdominal Subcutaneous Adipose Tissue: A Protective Fat Depot?

  1. Stacy A. Porter, MA1,2,
  2. Joseph M. Massaro, PHD1,3,
  3. Udo Hoffmann, MD, MPH4,
  4. Ramachandran S. Vasan, MD1,5,
  5. Christopher J. O'Donnel, MD, MPH1,6 and
  6. Caroline S. Fox, MD, MPH1,7
  1. 1National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts;
  2. 2Harvard Medical School, Boston, Massachusetts;
  3. 3Department of Mathematics, Boston University and School of Public Health, Division of Biostatistics, Boston, Massachusetts;
  4. 4Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts;
  5. 5Department of Cardiology and Preventive Medicine, Boston University, Boston, Massachusetts;
  6. 6Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts;
  7. 7Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
  1. Corresponding author: Caroline S. Fox, foxca{at}nhlbi.nih.gov.
Diabetes Care 2009 Jun; 32(6): 1068-1075. https://doi.org/10.2337/dc08-2280
PreviousNext
  • Article
  • Figures & Tables
  • Info & Metrics
  • PDF
Loading

Abstract

OBJECTIVE Obesity is associated with increased metabolic and cardiovascular risk. The ectopic fat hypothesis suggests that subcutaneous fat may be protective, but this theory has yet to be fully explored.

RESEARCH DESIGN AND METHODS Participants from the Framingham Heart Study (n = 3,001, 48.5% women) were stratified by visceral adipose tissue (VAT) into sex-specific tertiles. Within these tertiles, age-adjusted abdominal subcutaneous adipose tissue (SAT) tertiles were examined in relation to cardiometabolic risk factors.

RESULTS In the lowest VAT tertile, risk factor prevalence was low, although systolic blood pressure in women and rates of high triglycerides, impaired fasting glucose, hypertension, and the metabolic syndrome in men increased with increasing SAT tertile (all P < 0.04). In contrast, in the top VAT tertile, lower triglycerides were observed in men with increasing SAT (64.4% high triglycerides in SAT tertile 1 vs. 52.7% in SAT tertile 3, P = 0.03). Similar observations were made for women, although results were not statistically significant (50.6% high triglycerides in SAT tertile 1 vs. 41.0% in tertile 3, P = 0.10). Results in the highest VAT tertile were notable for a lack of increase in the prevalence of low HDL in men and women and in rates of impaired fasting glucose in men with increasing subcutaneous fat, despite sizable differences in BMI across SAT tertiles (27.1 to 36.3 kg/m2[women]; 28.1 to 35.7 kg/m2[men]).

CONCLUSIONS Although adiposity increases the absolute risk of metabolic and cardiovascular disease, abdominal subcutaneous fat is not associated with a linear increase in the prevalence of all risk factors among the obese, most notably, high triglycerides.

Obesity is associated with multiple cardiometabolic risk factors, including insulin resistance (1), diabetes (2), hypertension (3), and dyslipidemia (4). Variations in fat distribution may mediate such risks, with visceral adipose tissue (VAT) associated with more adverse risk factor profiles than abdominal subcutaneous adipose tissue (SAT) (5,6). The ectopic fat hypothesis proposes that obesity represents a failure of adipocyte growth and differentiation, resulting in “acquired lipodystrophy” and fat deposition in liver, skeletal muscle, and pancreatic β-cells (7). Such ectopic fat stores are hypothesized to contribute to the pathogenesis of impaired insulin secretion and insulin resistance and to mediate obesity-related cardiovascular disease (8).

In addition to the detrimental effects of VAT, human and animal studies have suggested a possible protective role for subcutaneous fat. In humans, increased subcutaneous leg fat is associated with decreased risk of disturbed glucose metabolism and dyslipidemia, independent of abdominal fat (9). Thiazolidinedione treatment, which increases total fat mass, mostly in subcutaneous fat stores, improves insulin sensitivity (10). Removal of VAT by omentectomy results in decreased glucose and insulin levels in humans, (11), whereas removal of SAT by liposuction does not always result in improvements in glucose metabolism or lipid levels (12,13). Transplantation of subcutaneous fat into visceral compartments in mice produces decreases in body weight and total fat mass and improved glucose metabolism, suggesting that subcutaneous fat may be intrinsically different from visceral fat in ways that are beneficial (14).

Therefore, the purpose of the present study was to test the hypothesis that abdominal subcutaneous fat is a protective fat depot in terms of cardiometabolic risk factor prevalence. We theorized that among those with similar levels of VAT, increasing SAT might be associated with decreases in cardiometabolic risk factor prevalence despite increasing BMI and total abdominal fat.

RESEARCH DESIGN AND METHODS

The Framingham Heart Study is a prospective cohort study that began in 1948. In 1971, the offspring and spouses of the original cohort were enrolled in the Offspring Study, and in 2002 the children of the original cohort's offspring were enrolled in the Third Generation Study. Between June 2002 and April 2005, 3,529 Offspring and Third Generation participants underwent chest and abdominal computed tomographic (CT) scanning in conjunction with the Multi-Detector Computed Tomography (MDCT) substudy. The present study sample consisted of the 3,001 participants (1,455 women and 1,546 men) who had interpretable CT scans (both chest and abdominal), who were free of cardiovascular disease, and who had complete covariate information.

The institutional review boards of the Boston University Medical Center and Massachusetts General Hospital approved the study protocol. All subjects provided informed written consent.

Abdominal adipose tissue imaging and volumetric measurements

Participants underwent eight-slice MDCT abdominal scanning in a supine position (LightSpeed Ultra, General Electric, Milwaukee, WI). Twenty-five contiguous 5-mm thick slices (120 kVp, 400 mA, gantry rotation time 500 ms, and table feed 3:1) were obtained, covering 125 mm above the level of S1.

VAT and SAT volumes were quantified from CT scans using a dedicated offline workstation (Aquarius 3D Workstation; TeraRecon, San Mateo, CA) using a semiautomatic segmentation technique. A reader manually traced the abdominal muscular wall separating the two layers. An image display window width of −195 to −45 Hounsfield units and a window center of −120 Hounsfield units were used to identify pixels containing fat. VAT was defined as adipose tissue inside the abdominal muscular wall and SAT as adipose tissue outside the abdominal muscular wall. Interclass correlations for inter-reader comparisons were 0.997 for SAT and 0.992 for VAT on a random sample of 100 scans; high intra-reader correlations were similarly obtained.

Risk factor and covariate assessment

Covariates were measured at the seventh Framingham Offspring examination (1998–2001) and the first Third Generation examination (2002–2005). BMI was calculated as weight in kilograms divided by the square of height in meters. Waist circumference was measured at the umbilicus. Serum triglycerides, total and HDL cholesterol, and fasting plasma glucose were measured in fasting morning samples obtained from attendees. Diabetes was defined as fasting plasma glucose ≥126 mg/dl or treatment with a hypoglycemic agent or insulin; impaired fasting glucose was defined as a fasting plasma glucose level of 100–125 mg/dl in the absence of diabetes treatment. Hypertension was defined as systolic blood pressure ≥140 mmHg and diastolic blood pressure as ≥90 mmHg or antihypertensive treatment. High triglycerides were defined as ≥150 mg/dl or lipid treatment. Low HDL was defined as <40 mg/dl for men or <50 mg/dl for women. Current smoking was defined as smoking ≥1 cigarette per day in the past year. Alcohol use was evaluated through a physician-administered questionnaire and categorized as more or less than 14 drinks per week (men) or 7 drinks per week (women). Women were classified as postmenopausal if periods had stopped for ≥1 year. Metabolic syndrome was defined by modified Adult Treatment Panel III criteria (impaired fasting glucose defined as fasting plasma glucose 100–125 mg/dl in the absence of treatment of diabetes, the high triglyceride component was defined as triglycerides≥150 mg/dl or treatment with a lipid-lowering agent, and blood pressure criteria were modified to include treatment for hypertension).

Statistical analysis

Study participants were stratified by VAT into sex-specific tertiles. Within each tertile, subjects were categorized further into sex-specific abdominal SAT tertiles. Age-adjusted means and prevalences of risk factors including BMI, waist circumference, fasting glucose, diabetes, HDL cholesterol, triglycerides, hypertension, and the metabolic syndrome were compared across the SAT tertiles. Because overall and visceral adiposity increases with age, all analyses were age-adjusted. As a secondary analysis, participants were separately stratified into SAT tertiles within each clinical BMI category (normal weight, overweight, and obese), and the analyses were repeated. All analyses were performed using SAS (version 9.1); two-tailed values of P < 0.05 were considered significant.

RESULTS

Study sample characteristics

Overall, 1,455 women (mean age 51.4 years) and 1,546 men (mean age 48.6 years) comprised the study sample. The average BMI was 26.7 kg/m2 for women and 28.3 kg/m2 for men, with 24.1% of women and 27.3% of men classified as obese. Approximately one-quarter of women had high triglycerides, low HDL, hypertension, and the metabolic syndrome, whereas 41.1% of men had high triglycerides, 31.1% had low HDL, 28.5% had hypertension, and 35.2% had the metabolic syndrome. Additional study sample characteristics are listed in Table 1.

View this table:
  • View inline
  • View popup
Table 1

Study sample characteristics

Age-adjusted tertile analysis

All measures of adiposity (BMI, waist circumference, SAT, and VAT) increased significantly for women and men across SAT tertiles within each VAT tertile (Table 2). Among those in the lowest VAT tertile, risk factor prevalence was uniformly low and increased with increasing SAT tertile (Table 3). Among women, the age-adjusted linear trend was significant for systolic blood pressure (109 mmHg in SAT tertile 1 vs. 114 mmHg in SAT tertile 3, P < 0.001). For men, linear trends were significant for several risk factors. Of particular note are the significant increases in prevalence rates of impaired fasting glucose (19.1% in SAT tertile 1 vs. 29.1% in SAT tertile 3, P = 0.03) and high triglycerides (12.1% in SAT tertile 1 vs. 20.4% in SAT tertile 3, P = 0.04).

View this table:
  • View inline
  • View popup
Table 2

-Age-adjusted measures of adiposity by sex-specific SAT tertiles within sex-specific VAT tertiles

View this table:
  • View inline
  • View popup
Table 3

Age-adjusted risk factors by sex-specific SAT tertile within sex-specific VAT tertiles

In the middle (second) VAT tertile, risk factor prevalence was generally higher than that in VAT tertile 1 and again displayed a pattern of increase across SAT tertiles. Among women, linear trends were significant for systolic blood pressure (117 mmHg in SAT tertile 1 vs. 122 mmHg in SAT tertile 3, P = 0.01) and the metabolic syndrome (8.3% in SAT tertile 1 vs. 27.2% in SAT tertile 3, P < 0.0001). Among men, linear trends were also significant and increasing for the metabolic syndrome (22.5% in SAT tertile 1 vs. 50.7% in SAT tertile 3, P < 0.0001), as well as for fasting glucose, impaired fasting glucose, and hypertension.

In the top VAT tertile, absolute risk factor prevalence was high and increased significantly with increasing SAT for several risk factors. For example, linear trends for rates of metabolic syndrome were significant for both women (51.2% in SAT tertile 1 vs. 65.1% in SAT tertile 3, P = 0.02) and men (55.6% in SAT tertile 1 vs. 73.0% in SAT tertile 3, P = 0.001). However, the pattern of increase in risk factor prevalence across SAT tertiles present among the bottom two VAT tertiles was notably absent among both men and women in the highest VAT tertile for low HDL and among men for fasting glucose and impaired fasting glucose despite large increases in BMI across SAT tertiles (27.1 vs. 36.3 kg/m2 for women and 28.1 vs. 35.7 kg/m2 for men). In addition, prevalence rates of high triglycerides in men decreased significantly with increasing SAT (64.4% in SAT tertile 1 vs. 52.7% in SAT tertile 3, P = 0.03). A similar trend was seen in women, although it was not statistically significant (50.6% in SAT tertile 1 vs. 41.0% in SAT tertile 3, P = 0.10).

When the study sample was stratified into BMI categories (normal weight, overweight, and obese), similar patterns were observed (Fig. 1). The prevalence of all risk factors markedly increased through the BMI categories. Among those of normal weight, rates of high triglycerides increased significantly with SAT in both women (5.2% in SAT tertile 1 vs. 14.4% in SAT tertile 3, P = 0.002) and men (8.4% in SAT tertile 1 vs. 28.6% in SAT tertile 3, P < 0.001). Among the overweight and obese, however, the prevalence of high triglycerides did not increase with SAT and decreased significantly among obese women (48.8% in SAT tertile 1 vs. 33.0% in SAT tertile 3, P = 0.02).

  • Download figure
  • Open in new tab
  • Download powerpoint
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1

Age-adjusted levels of risk factors by tertile of SAT in normal-weight (A and D), overweight (B and E), and obese (C and F) subjects. *P < 0.05, **P < 0.01, and ***P < 0.001 for linear trend across tertiles. DM, diabetes; HTN, hypertension; IFG, impaired fasting glucose; MetS, metabolic syndrome; TGs, triglycerides.

CONCLUSIONS

Principal findings

Cardiometabolic risk increases with increasing visceral adiposity and BMI. Among those in the bottom two VAT tertiles, increasing subcutaneous fat is generally associated with increases in risk factor prevalence. Among those in the highest VAT tertile, however, increasing SAT is not associated with uniform increases in risk factors prevalence, despite significant increases in BMI, waist circumference SAT, and VAT. Most striking, linear trends for triglycerides actually decrease with increasing SAT in the top VAT tertile, suggesting that subcutaneous fat may be associated with beneficial effects on triglyceride levels in those with the most visceral fat.

In the context of the current literature

Although total adiposity is strongly associated with metabolic and cardiovascular risk, it is becoming increasingly clear that different fat compartments contribute differentially to these risks. Abdominal visceral fat is a stronger correlate of cardiovascular disease risk than BMI, waist circumference, or abdominal subcutaneous fat (5,6). Central obesity, in which fat mass is predominantly intra-abdominal, is more strongly associated with insulin resistance, dyslipidemia, and atherosclerosis than is peripheral obesity, in which fat is predominantly gluteofemoral (1,15). Weight loss through diet and exercise, which results in reductions in visceral fat (16), is associated with improvements in insulin sensitivity (17), blood pressure (18), serum lipids (19), and inflammatory markers (20). Similarly, loss of VAT by omentectomy leads to decreases in glucose and insulin levels (11), whereas loss of SAT by liposuction does not always produce the same beneficial effects (12,13), suggesting that VAT is more likely to be responsible for the metabolic abnormalities associated with obesity.

A few studies have suggested a possible beneficial role for SAT, observing that increased hip and thigh fat mass is associated with lower glucose and lipid levels, independent of abdominal fat (9). Patients with lipodystrophic loss of SAT have an increased risk for insulin resistance, diabetes, and dyslipidemia (21). In mice, transplantation of subcutaneous fat into visceral compartments leads to decreases in body weight and total fat mass and improved glucose metabolism, whereas transplantation of visceral fat into either subcutaneous or visceral compartments results in no such improvements. This suggests that subcutaneous fat may differ from visceral fat in ways that are metabolically beneficial (14).

Our results confirm that cardiometabolic risk increases significantly with increases in VAT. The prevalence of many risk factors, including hypertension and the metabolic syndrome, also increases with increasing SAT for all VAT and BMI tertiles. Among those in the lower two-thirds of the VAT distribution, more SAT is also associated with increased risk of most other risk factors examined, suggesting that SAT is not protective in these individuals. Among those with the most VAT, however, increased SAT is associated with lower triglycerides, suggesting that SAT may be associated with beneficial effects on triglyceride levels in the obese.

Mechanisms

The ectopic fat hypothesis suggests that a hallmark of obesity is fat deposition in liver, skeletal muscle, and pancreatic β-cells resulting from insufficient adipocyte growth and differentiation in the setting of nutritional excess (22). Such ectopic fat stores are theorized to affect tissue and organ function by physical compression, the secretion of various locally acting substances, and cell dysfunction or cell death of nonadipose cells, a phenomenon known as lipotoxicity (7). In line with this theory, SAT represents a proper expansion of nonpathogenic adipocytes and therefore may be considered a protective fat depot (22). Improvements in insulin sensitivity with thiazolidinedione treatment, which increases subcutaneous fat stores, are suggestive of a protective effect of SAT (10). Our results are consistent with a potential protective role for SAT in the case of triglycerides among the obese.

Another possible explanation for obesity-related cardiometabolic disease is the portal vein hypothesis, which proposes that increased visceral fat leads to higher free fatty acid concentrations in the portal vein, increased systemic fatty acid flux, and increased hepatic lipase activity, which removes lipids from LDL and HDL, and may lead to dyslipidemia (23). Although our results do not contradict the detrimental effects of VAT proposed by the portal vein hypothesis (the prevalence of all risk factors increased with VAT tertile in our sample), they do support the notion that such a theory is, at best, incomplete because it does not explain either the detrimental or the beneficial effects of SAT, which does not drain through the portal vein, on cardiometabolic risk.

VAT and SAT differ not only in anatomic location but also in cytokine secretion profile. SAT releases 2–3 times more leptin than VAT (24), whereas VAT secretes more adiponectin, interleukin-6, interleukin-8, plasminogen activator inhibitor 1, and angiotensin than does SAT (23). Although the relationships between VAT and SAT secretion profiles and cardiometabolic pathogenesis are, at present, unclear, it may be that paracrine and perhaps endocrine factors contribute to the differential effects of VAT and SAT.

It is important to note that our results suggest a possible protective effect of SAT only among those in the highest tertile of VAT. Indeed, in the lower VAT tertiles, increasing SAT is associated only with increases in risk factor prevalence. One explanation for this difference is that there is a relatively larger increase in VAT in the lower tertiles and that SAT is simply a marker for increased VAT in these groups. SAT by itself may not be deleterious or beneficial in the absence of the positive energy balance of obesity. Accordingly, SAT may only be protective in obese individuals because these individuals are already in positive energy balance and SAT provides a nonpathological energy storage depot. It is also important to note that the lack of increase in the prevalence of risk factors such as low LDL and impaired fasting glucose with increasing SAT among the obese may be due to a threshold effect, whereby risk factor prevalence is already so high that increasing SAT is not associated with further increases in prevalence.

Strengths and limitations

Compared with previous work on subcutaneous fat and cardiometabolic risk, the strengths of the present study include a large sample size with a wide range of BMI and age, thereby reducing the likelihood of ascertainment bias in the results. In addition, the study benefits from the quantification of fat volumes from CT scans rather than a single-slice measurement of fat area. A major limitation of the study is its lack of data on subcutaneous fat stores aside from the abdomen; therefore, we cannot generalize our findings to gluteofemoral fat. Further, we are unable to separate deep versus superficial SAT in the abdomen. It may be that superficial SAT is less pathogenic than deep SAT (25). In addition, analysis by VAT and SAT tertiles increases the number of statistical tests performed, increasing the likelihood of false-positive results at the P < 0.05 significance level. Other limitations include the cross-sectional study design, which precludes inferences of causality, and the lack of ethnic diversity, which may limit generalizability to nonwhite groups.

In summary, whereas abdominal adiposity is associated with a higher absolute risk of metabolic and cardiovascular disease, subcutaneous abdominal fat is not associated with a linear increase in the prevalence of all risk factors among the obese. Indeed, in the case of high triglycerides, SAT may actually be a protective fat depot in obese individuals.

Acknowledgments

This work was supported by the National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study (Grant N01-HC-25195). S.A.P. is supported by the PASTEUR Program and the Harvard Medical School Office of Enrichment Programs. R.S.V. is supported in part by Grant 2K24HL04334 (NHLBI, National Institutes of Health).

No potential conflicts of interest relevant to this article were reported.

Footnotes

  • The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

    • Received December 20, 2008.
    • Accepted February 20, 2009.
  • Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.

  • © 2009 by the American Diabetes Association.

References

  1. ↵
    1. Despres JP
    : The insulin resistance-dyslipidemic syndrome of visceral obesity: effect on patients' risk. Obes Res 1998; 6 ( Suppl. 1): 8S– 17S
    OpenUrlPubMed
  2. ↵
    1. Mokdad AH,
    2. Ford ES,
    3. Bowman BA,
    4. Dietz WH,
    5. Vinicor F,
    6. Bales VS,
    7. Marks JS
    : Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001. JAMA 2003; 289: 76– 79
    OpenUrlCrossRefPubMedWeb of Science
  3. ↵
    1. Harris MM,
    2. Stevens J,
    3. Thomas N,
    4. Schreiner P,
    5. Folsom AR
    : Associations of fat distribution and obesity with hypertension in a bi-ethnic population: the ARIC study. Atherosclerosis Risk in Communities Study. Obes Res 2000; 8: 516– 524
    OpenUrlPubMedWeb of Science
  4. ↵
    1. Lemieux I,
    2. Pascot A,
    3. Couillard C,
    4. Lamarche B,
    5. Tchernof A,
    6. Almeras N,
    7. Bergeron J,
    8. Gaudet D,
    9. Tremblay G,
    10. Prud'homme D,
    11. Nadeau A,
    12. Despres JP
    : Hypertriglyceridemic waist: A marker of the atherogenic metabolic triad (hyperinsulinemia; hyperapolipoprotein B; small, dense LDL) in men? Circulation 2000; 102: 179– 184
    OpenUrlAbstract/FREE Full Text
  5. ↵
    1. Despres JP,
    2. Lemieux S,
    3. Lamarche B,
    4. Prud'homme D,
    5. Moorjani S,
    6. Brun LD,
    7. Gagne C,
    8. Lupien PJ
    : The insulin resistance-dyslipidemic syndrome: contribution of visceral obesity and therapeutic implications. Int J Obes Relat Metab Disord 1995; 19 ( Suppl. 1): S76– S86
    OpenUrlWeb of Science
  6. ↵
    1. Fox CS,
    2. Massaro JM,
    3. Hoffmann U,
    4. Pou KM,
    5. Maurovich-Horvat P,
    6. Liu CY,
    7. Vasan RS,
    8. Murabito JM,
    9. Meigs JB,
    10. Cupples LA,
    11. D'Agostino RB, Sr,
    12. O'Donnell CJ
    : Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation 2007; 116: 39– 48
    OpenUrlAbstract/FREE Full Text
  7. ↵
    1. Unger RH
    : The physiology of cellular liporegulation. Annu Rev Physiol 2003; 65: 333– 347
    OpenUrlCrossRefPubMedWeb of Science
  8. ↵
    1. Montani JP,
    2. Carroll JF,
    3. Dwyer TM,
    4. Antic V,
    5. Yang Z,
    6. Dulloo AG
    : Ectopic fat storage in heart, blood vessels and kidneys in the pathogenesis of cardiovascular diseases. Int J Obes Relat Metab Disord 2004; 28 ( Suppl. 4): S58– S65
    OpenUrlCrossRefPubMed
  9. ↵
    1. Snijder MB,
    2. Visser M,
    3. Dekker JM,
    4. Goodpaster BH,
    5. Harris TB,
    6. Kritchevsky SB,
    7. De RN,
    8. Kanaya AM,
    9. Newman AB,
    10. Tylavsky FA,
    11. Seidell JC
    : Low subcutaneous thigh fat is a risk factor for unfavourable glucose and lipid levels, independently of high abdominal fat. The Health ABC Study. Diabetologia 2005; 48: 301– 308
    OpenUrlCrossRefPubMedWeb of Science
  10. ↵
    1. Miyazaki Y,
    2. Mahankali A,
    3. Matsuda M,
    4. Mahankali S,
    5. Hardies J,
    6. Cusi K,
    7. Mandarino LJ,
    8. DeFronzo RA
    : Effect of pioglitazone on abdominal fat distribution and insulin sensitivity in type 2 diabetic patients. J Clin Endocrinol Metab 2002; 87: 2784– 2791
    OpenUrlCrossRefPubMedWeb of Science
  11. ↵
    1. Thorne A,
    2. Lonnqvist F,
    3. Apelman J,
    4. Hellers G,
    5. Arner P
    : A pilot study of long-term effects of a novel obesity treatment: omentectomy in connection with adjustable gastric banding. Int J Obes Relat Metab Disord 2002; 26: 193– 199
    OpenUrlCrossRefPubMedWeb of Science
  12. ↵
    1. Klein S,
    2. Fontana L,
    3. Young VL,
    4. Coggan AR,
    5. Kilo C,
    6. Patterson BW,
    7. Mohammed BS
    : Absence of an effect of liposuction on insulin action and risk factors for coronary heart disease. N Engl J Med 2004; 350: 2549– 2557
    OpenUrlCrossRefPubMedWeb of Science
  13. ↵
    1. Giugliano G,
    2. Nicoletti G,
    3. Grella E,
    4. Giugliano F,
    5. Esposito K,
    6. Scuderi N,
    7. D'Andrea F
    : Effect of liposuction on insulin resistance and vascular inflammatory markers in obese women. Br J Plast Surg 2004; 57: 190– 194
    OpenUrlCrossRefPubMedWeb of Science
  14. ↵
    1. Tran TT,
    2. Yamamoto Y,
    3. Gesta S,
    4. Kahn CR
    : Beneficial effects of subcutaneous fat transplantation on metabolism. Cell Metab 2008; 7: 410– 420
    OpenUrlCrossRefPubMedWeb of Science
  15. ↵
    1. Scherzer R,
    2. Shen W,
    3. Bacchetti P,
    4. Kotler D,
    5. Lewis CE,
    6. Shlipak MG,
    7. Heymsfield SB,
    8. Grunfeld C
    : Simple anthropometric measures correlate with metabolic risk indicators as strongly as magnetic resonance imaging-measured adipose tissue depots in both HIV-infected and control subjects. Am J Clin Nutr 2008; 87: 1809– 1817
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Langendonk JG,
    2. Kok P,
    3. Frolich M,
    4. Pijl H,
    5. Meinders AE
    : Decrease in visceral fat following diet-induced weight loss in upper body compared to lower body obese premenopausal women. Eur J Intern Med 2006; 17: 465– 469
    OpenUrlCrossRefPubMed
  17. ↵
    1. Uusitupa M,
    2. Lindi V,
    3. Louheranta A,
    4. Salopuro T,
    5. Lindstrom J,
    6. Tuomilehto J
    : Long-term improvement in insulin sensitivity by changing lifestyles of people with impaired glucose tolerance: 4-year results from the Finnish Diabetes Prevention Study. Diabetes 2003; 52: 2532– 2538
    OpenUrlAbstract/FREE Full Text
  18. ↵
    1. Stevens VJ,
    2. Obarzanek E,
    3. Cook NR,
    4. Lee IM,
    5. Appel LJ,
    6. Smith WD,
    7. Milas NC,
    8. Mattfeldt-Beman M,
    9. Belden L,
    10. Bragg C,
    11. Millstone M,
    12. Raczynski J,
    13. Brewer A,
    14. Singh B,
    15. Cohen J
    : Long-term weight loss and changes in blood pressure: results of the Trials of Hypertension Prevention, phase II. Ann Intern Med 2001; 134: 1– 11
    OpenUrlCrossRefPubMedWeb of Science
  19. ↵
    1. Dattilo AM,
    2. Kris-Etherton PM
    : Effects of weight reduction on blood lipids and lipoproteins: a meta-analysis. Am J Clin Nutr 1992; 56: 320– 328
    OpenUrlAbstract/FREE Full Text
  20. ↵
    1. Ziccardi P,
    2. Nappo F,
    3. Giugliano G,
    4. Esposito K,
    5. Marfella R,
    6. Cioffi M,
    7. D'Andrea F,
    8. Molinari AM,
    9. Giugliano D
    : Reduction of inflammatory cytokine concentrations and improvement of endothelial functions in obese women after weight loss over one year. Circulation 2002; 105: 804– 809
    OpenUrlAbstract/FREE Full Text
  21. ↵
    1. Garg A
    : Acquired and inherited lipodystrophies. N Engl J Med 2004; 350: 1220– 1234
    OpenUrlCrossRefPubMedWeb of Science
  22. ↵
    1. Heilbronn L,
    2. Smith SR,
    3. Ravussin E
    : Failure of fat cell proliferation, mitochondrial function and fat oxidation results in ectopic fat storage, insulin resistance and type II diabetes mellitus. Int J Obes Relat Metab Disord 2004; 28 ( Suppl. 4): S12– S21
    OpenUrlCrossRefPubMed
  23. ↵
    1. Yang X,
    2. Smith U
    : Adipose tissue distribution and risk of metabolic disease: does thiazolidinedione-induced adipose tissue redistribution provide a clue to the answer? Diabetologia 2007; 50: 1127– 1139
    OpenUrlCrossRefPubMedWeb of Science
  24. ↵
    1. Tritos NA,
    2. Mantzoros CS
    : Leptin: its role in obesity and beyond. Diabetologia 1997; 40: 1371– 1379
    OpenUrlCrossRefPubMed
  25. ↵
    1. Kelley DE,
    2. Thaete FL,
    3. Troost F,
    4. Huwe T,
    5. Goodpaster BH
    : Subdivisions of subcutaneous abdominal adipose tissue and insulin resistance. Am J Physiol Endocrinol Metab 2000; 278: E941– E948
    OpenUrlAbstract/FREE Full Text
View Abstract
PreviousNext
Back to top
Diabetes Care: 32 (6)

In this Issue

June 2009, 32(6)
  • Table of Contents
  • About the Cover
  • Index by Author
Sign up to receive current issue alerts
View Selected Citations (0)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about Diabetes Care.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Abdominal Subcutaneous Adipose Tissue: A Protective Fat Depot?
(Your Name) has forwarded a page to you from Diabetes Care
(Your Name) thought you would like to see this page from the Diabetes Care web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Abdominal Subcutaneous Adipose Tissue: A Protective Fat Depot?
Stacy A. Porter, Joseph M. Massaro, Udo Hoffmann, Ramachandran S. Vasan, Christopher J. O'Donnel, Caroline S. Fox
Diabetes Care Jun 2009, 32 (6) 1068-1075; DOI: 10.2337/dc08-2280

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Add to Selected Citations
Share

Abdominal Subcutaneous Adipose Tissue: A Protective Fat Depot?
Stacy A. Porter, Joseph M. Massaro, Udo Hoffmann, Ramachandran S. Vasan, Christopher J. O'Donnel, Caroline S. Fox
Diabetes Care Jun 2009, 32 (6) 1068-1075; DOI: 10.2337/dc08-2280
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • RESEARCH DESIGN AND METHODS
    • RESULTS
    • CONCLUSIONS
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Tables
  • Info & Metrics
  • PDF

Related Articles

Cited By...

More in this TOC Section

Original Research

  • Insulin Resistance Is Associated With Enhanced Brain Glucose Uptake During Euglycemic Hyperinsulinemia: A Large-Scale PET Cohort
  • Not Only Diabetes but Also Prediabetes Leads to Functional Decline and Disability in Older Adults
  • Changes in Plant-Based Diet Indices and Subsequent Risk of Type 2 Diabetes in Women and Men: Three U.S. Prospective Cohorts
Show more Original Research

Cardiovascular and Metabolic Risk

  • Metabolic Syndrome and COVID-19 Mortality Among Adult Black Patients in New Orleans
  • Association of Maternal Folate and Vitamin B12 in Early Pregnancy With Gestational Diabetes Mellitus: A Prospective Cohort Study
  • Differences in Physiological Responses to Cardiopulmonary Exercise Testing in Adults With and Without Type 1 Diabetes: A Pooled Analysis
Show more Cardiovascular and Metabolic Risk

Similar Articles

Navigate

  • Current Issue
  • Standards of Care Guidelines
  • Online Ahead of Print
  • Archives
  • Submit
  • Subscribe
  • Email Alerts
  • RSS Feeds

More Information

  • About the Journal
  • Instructions for Authors
  • Journal Policies
  • Reprints and Permissions
  • Advertising
  • Privacy Policy: ADA Journals
  • Copyright Notice/Public Access Policy
  • Contact Us

Other ADA Resources

  • Diabetes
  • Clinical Diabetes
  • Diabetes Spectrum
  • Scientific Sessions Abstracts
  • Standards of Medical Care in Diabetes
  • BMJ Open - Diabetes Research & Care
  • Professional Books
  • Diabetes Forecast

 

  • DiabetesJournals.org
  • Diabetes Core Update
  • ADA's DiabetesPro
  • ADA Member Directory
  • Diabetes.org

© 2021 by the American Diabetes Association. Diabetes Care Print ISSN: 0149-5992, Online ISSN: 1935-5548.