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Diets and morbid tissues – history counts, present counts

Published online by Cambridge University Press:  07 July 2015

Yaakov Henkin
Affiliation:
Soroka University Medical Center, Beer-Sheva, Israel
Julia Kovsan
Affiliation:
Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, PO Box 653, Beer-Sheva84105, Israel
Yftach Gepner
Affiliation:
Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, PO Box 653, Beer-Sheva84105, Israel
Iris Shai*
Affiliation:
Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, PO Box 653, Beer-Sheva84105, Israel
*
*Corresponding author: Dr I. Shai, fax +972 8 647 7637/8, email irish@bgu.ac.il
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Abstract

Body fat distribution, especially visceral fat accumulation, may contribute more than total fat mass per se to the development of metabolic and cardiovascular disorders. Early prevention highly improves health outcomes later in life, especially when considering such cumulative conditions as atherosclerosis. However, as these processes emerge to be partly reversible, dietary and lifestyle interventions at any age and health condition are greatly beneficial. Given the worldwide abundance of metabolic and cardiovascular disorders, the identification and implementation of strategies for preventing or reducing the accumulation of morbid fat tissues is of great importance for preventing and regressing atherosclerosis. This review focuses on dietary strategies and specific food components that were demonstrated to alter body fat distribution and regression of atherosclerosis. Different properties of various adipose depots (superficial subcutaneous, deep subcutaneous and visceral fat depots) and their contribution to metabolic and cardiovascular disorders are briefly discussed. Visceral obesity and atherosclerosis should be approached as modifiable rather than ineluctable conditions.

Type
Full Papers
Copyright
Copyright © The Authors 2015 

By the early 1900s, it was well established that obesity has adverse health implications. Since then, our knowledge has come a long way. It was recognised that not all the fat tissues are identical and that upper-body and abdominal obesity is more pathogenic than lower-body and peripheral fat. Recently, the importance of fat distribution rather than total fat volume per se has been recognised, with special emphasis on the contribution of visceral fat accumulation to the development of metabolic and cardiovascular abnormalities. Moreover, the association between visceral adiposity and accelerated atherosclerosis has been shown to be independent of age, overall obesity and the quantity of subcutaneous fat(Reference Hamdy, Porramatikul and Al-Ozairi1).

The ‘obesity epidemic’ that is emerging in industrialised as well as in developing countries around the world is threatening to compromise the impressive health achievements of the past century(2Reference Stewart, Cutler and Rosen6). A large number of diseases, the most important of which are related to insulin resistance (IR) and CVD, have been attributed to overweight and obesity states(Reference Bray7, Reference Kopelman8). Given the worldwide prevalence of metabolic diseases and CVD, the identification of strategies and modifiers that may favourably alter the body fat distribution, reducing the morbid fat tissues and diminishing atherosclerosis, is of great importance to the development of more effective prevention and treatment approaches.

Fat tissues

Body fat has long been recognised as an important contributor to the physiological and pathological function of the human body(Reference Ali and Crowther9). While it serves as an important depot for storage of energy required in conditions of food shortage and starvation, the excessive accumulation of fat can also lead to undesirable effects. Fat depots in different parts of the body seem to have differential effects on metabolic abnormalities; while some have been shown to have detrimental effects and are associated with an increased risk for IR, diabetes mellitus and CVD, others are assumed to be neutral and possibly even protective against these conditions(Reference Ali and Crowther9, Reference Jensen10). Similarly, different treatment modalities can have diverse effects on the various fat depots.

Adipocytes are organised in adipose tissue, a multidepot organ consisting of small blood vessels, nerve tissue, fibroblasts and adipocyte precursor cells in addition to mature adipose cells. The latter exist as two cytotypes, white and brown adipocytes, which can be distinguished by differences in their colour, histological appearance and function. Lipids are organised as multiple, small droplets in brown adipocytes and as a single, large lipid droplet in white adipocytes(Reference Avram, Avram and James11, Reference Frontini and Cinti12).

Anatomy of fat tissues

Humans have the highest percentage of fat per body mass among mammals(Reference Wells13) and have ten times more fat cells than expected for an animal of our size(Reference Pond14). The capacity to accumulate fat has been a major adaptive feature of our species, but in the modern environment where fluctuations in energy supply have been minimised and productivity is dependent on mechanisation rather than physical effort, it becomes increasingly maladaptive.

Both adipocyte number and size determine the fat mass: the expansion of fat mass through increasing the number of adipocytes is termed ‘hyperplasia’, while increasing the average fat cell volume is termed ‘hypertrophy’. Hypertrophy, i.e. increased fat storage in fully differentiated adipocytes resulting in enlarged fat cells, is well documented and is thought to be the most important mechanism whereby fat depots increase in adults(Reference Bjorntorp15, Reference Hirsch and Batchelor16). The number of adipocytes is determined during childhood and adolescence and remains constant in adulthood, even after marked weight loss. However, approximately 10 % of fat cells are renewed annually at all adult ages and levels of BMI, as was established by analysing the integration of 14C derived from nuclear bomb tests in genomic DNA(Reference Spalding, Arner and Westermark17).

White fat

Body fat is generally categorised as lower body adipose tissue, upper-body subcutaneous adipose tissue (SAT) and intra-abdominal/visceral adipose tissue (VAT)(Reference Jensen10).

Abdominal adipose tissue is composed of several distinct anatomical depots(Reference Ibrahim18, Reference Wajchenberg19):

Subcutaneous adipose tissue

SAT accounts for approximately 80 % of total body fat and can be subdivided into superficial and deep layers(Reference Golan, Shelef and Rudich20), separated by the fascia superficialis. We(Reference Golan, Shelef and Rudich20) recently suggested that the abdominal SAT is composed of two subdepots that associate differently with cardiometabolic parameters and that higher absolute and relative distribution of fat in abdominal superficial SAT may signify beneficial cardiometabolic effects in patients with type 2 diabetes.

Intra-abdominal fat

Intra-abdominal fat accounting for 10–20 % of total fat in men and 5–8 % in women can be further subdivided into VAT or intraperitoneal adipose tissue, mainly composed of omental and mesenteric fat(Reference Abate, Burns and Peshock21, Reference Abate, Garg and Peshock22) and retroperitoneal fat.

Many factors are involved in the control of body fat distribution, the most important of which are age, sex, ethnicity, cigarette smoking, genetic factors and the timing of onset of childhood obesity(Reference Ali and Crowther9, Reference Jensen10, Reference Bouchard, Despres and Mauriege23). The absolute as well as relative amount of visceral fat increases with age(Reference DeNino, Tchernof and Dionne24, Reference Kuk, Saunders and Davidson25). Women have more fat than men, even when matched for BMI, as a result of greater SAT deposits(Reference Dixon26). Men are found to have a greater proportion of fat in the VAT and deep SAT, while women have more in the superficial SAT depot(Reference Smith, Lovejoy and Greenway27). A number of studies have shown that body fat distribution varies between populations, with individuals from south-east Asia having larger relative proportions of abdominal fat than Europeans and Americans(Reference Ali and Crowther9, Reference Wajchenberg19). Genetic studies show that a large proportion of the variance in abdominal fat mass can be accounted for by genetic factors(Reference Bouchard, Despres and Mauriege23, Reference Heid, Jackson and Randall28, Reference Perusse, Despres and Lemieux29).

Brown fat

In neonates and newborn children, brown adipose tissue (BAT) can be found in several areas, including the interscapular region, surrounding blood vessels, neck muscles, axillae, trachea, oesophagus and around various abdominal and retroperitoneal organs. In adults, these brown adipocytes undergo a morphologic transformation in which they rapidly accumulate lipids, become unilocular and lose the ultrastructural and molecular properties that define them and regress(Reference Avram, Avram and James11). As a consequence, there are no discrete collections of BAT that can be found in the adult. However, clinical studies using fluorodeoxyglucose positron emission tomography and computed tomography demonstrate that healthy adult humans have significant depots of metabolically active BAT, especially in the neck and upper-chest regions. Noradrenergic stimuli, such as cold exposure, can activate BAT and expand its positron emission tomography detectable signals in adult humans. The presence of BAT inversely correlates with body fat, especially in older subjects(Reference Cypess, Lehman and Williams30Reference van Marken Lichtenbelt, Vanhommerig and Smulders33).

Physiological and pathophysiological aspects of body fat

Adipose tissue acts as the major energy storage depot(Reference Ibrahim18). The type of adipocytes, endocrine and metabolic function, and response to insulin and other hormones differ between SAT and VAT. Although VAT appears to store more dietary fat per gram of adipose tissue than either upper-body or lower-body SAT, the latter act as the major storage depot postprandially due to their larger depot size(Reference Jensen10, Reference Votruba, Mattison and Dumesic34). When the storage capacity of SAT is exceeded or its ability to generate new adipocytes is impaired, fat begins to accumulate in other depots. VAT has a higher rate of insulin-stimulated glucose uptake, meaning a higher turnover of lipids compared with SAT adipocytes(Reference Jensen10, Reference Wajchenberg19). Although the VAT depot is relatively small compared with SAT, the fact that it is more lipolytically active and that it releases NEFA directly to the liver through the portal vein raised the speculation that VAT-released NEFA would have a greater effect on hepatocyte metabolism than SAT-released NEFA. Nielsen et al. determined the relative contributions of NEFA released from visceral fat into the portal and systemic circulations in lean and obese participants(Reference Nielsen, Guo and Johnson35). Although the relative contribution at any individual visceral fat mass was quite variable, the relative amount of portal vein NEFA derived from visceral fat (approximately 5 % in lean individuals and 20 % in obese subjects) was generally much less than the relative amount of NEFA derived from lipolysis of the larger SAT depot. Although the latter are initially released into the systemic circulation, they are subsequently transported to splanchnic tissues by the arterial circulation, and the majority finally enter the portal vein. However, as the release of NEFA into the portal vein from lipolysis in VAT increases with increasing amounts of abdominal fat in obese individuals, the contribution of NEFA derived from VAT to the portal and systemic circulations increases with increasing adiposity(Reference Nielsen, Guo and Johnson35, Reference Klein36).

White adipose depots act as an active endocrine and paracrine organ and can influence appetite, energy balance, insulin sensitivity and other metabolic parameters. With increased adiposity, endocrine and paracrine function is significantly altered, and multiple adipocyte-derived factors induce activation and infiltration of macrophages into adipose tissue. Inflamed fat in obesity secretes an array of proteins implicated in the impairment of insulin signalling(Reference Xu, Barnes and Yang37). Several studies found that omental macrophage infiltration seems to be more prevalent than subcutaneous fat infiltration, especially with intra-abdominal obesity, and is correlated with weight circumference and with the number of metabolic syndrome parameters(Reference Ibrahim18, Reference Harman-Boehm, Bluher and Redel38, Reference Bluher, Bashan and Shai39).

The relationship between excess abdominal fat mass and IR was recognised in the 1940s when Vague(Reference Vague40) reported an association between an android (upper-body) obesity phenotype and diabetes, gout and premature atherosclerosis. This association is apparent even in individuals who are not obese by BMI criteria(Reference Ruderman, Chisholm and Pi-Sunyer41). Basal whole-body NEFA flux rates are greater in upper-body obese subjects than in lower-body obese and lean subjects(Reference Jensen, Haymond and Rizza42). However, there is still some controversy regarding the relative contribution of each of these depots to the aetiology of the metabolic dysfunction observed in abdominally obese subjects, with conflicting results observed in different studies. Whereas some have shown VAT to be the major determinant of IR(Reference Brochu, Starling and Tchernof43Reference Ross, Aru and Freeman46), others found SAT to be equally (or possibly more) important in causing IR at the hepatic as well as muscle level(Reference Abate, Garg and Peshock22, Reference Goodpaster, Thaete and Simoneau47Reference Wagenknecht, Langefeld and Scherzinger49). This discrepancy may be related to the strong correlation between the subcutaneous and intra-abdominal depot size(Reference Frayn50), as well as to the different properties of the superficial and deep subcutaneous layers, the latter behaving more like VAT(Reference Kelley, Thaete and Troost51Reference Monzon, Basile and Heneghan53).

BAT evolved in mammals to dissipate chemical energy as heat and thus possess large numbers of mitochondria that contain a unique protein called uncoupling protein 1(Reference Seale and Lazar32). This uncouples mitochondrial oxidative phosphorylation to dissipate heat instead of ATP synthesis. The sensation of cold causes sympathetic nerves to release catecholamines that stimulate proliferation and heat production by brown fat cells(Reference Cannon and Nedergaard54). It has been suggested that BAT plays an essential role in energy balance, thus influencing body weight, and that increasing the amount and/or function of this tissue could be an effective therapy to limit obesity(Reference Seale and Lazar32). It has also been shown that BAT activity induced by short-term cold exposure accelerates plasma clearance of TAG and glucose disposal, thus possibly affecting the metabolic disturbances associated with the metabolic syndrome(Reference Bartelt, Bruns and Reimer55, Reference Nedergaard, Bengtsson and Cannon56).

Can diet affect body fat distribution?

VAT is more sensitive to weight reduction than SAT(Reference Ibrahim18), in relation to the initial volume of these fat depots, and most forms of weight loss appear to affect visceral fat more than subcutaneous fat(Reference Smith and Zachwieja57). The relative percent change in VAT to the percent change in total body fat appears to increase with increasing baseline VAT, suggesting that individuals with greater visceral fat mass lose more visceral fat when adjusted to the loss of body fat. Chaston & Dixon(Reference Chaston and Dixon58) performed a systematic review of the literature to look for factors associated with preferential loss of VAT relative to SAT during weight loss. They found that greater percent weight loss was negatively associated with the preferential loss of VAT compared with SAT (%Δ VAT/%Δ SAT), suggesting that while modest weight loss generated preferential loss of VAT, greater weight loss attenuates this effect. Although the specific weight loss strategy did not significantly affect the differential loss of the various fat depots, very-low-energy diets provided an exceptional short-term (4 weeks) preferential VAT loss, which was attenuated after 12–14 weeks. Hall & Hallgreen(Reference Hall and Hallgreen59) found support for these findings using an allometric model. Epicardial fat is also reduced by weight loss resulting from energy restriction(Reference Iacobellis, Singh and Wharton60). However, less is known about the effect of specific dietary strategies or dietary components on fat tissue deposition.

Dietary strategies

It is questionable whether not only the energy intake but also the specific dietary components, and their relative proportion in the diet, may affect the changes in body fat distribution. Carbohydrate (CHO) content might have a putative influence. A low-energy low-CHO diet (4184 kJ/d (1000 kcal/d), 39 % energy from CHO) was found to preferentially reduce VAT and the VAT:SAT ratio more than a similar low-energy diet with a high-CHO content (62 % energy from CHO) in twenty-two diabetic patients over 4 weeks(Reference Miyashita, Koide and Ohtsuka61). A high-CHO diet (65 % CHO, 6 % SAT and 8 % MUFA) increased the accumulation of fat deposited in the trunk depot and decreased in the amount of fat mass deposited in the legs compared with high-monounsaturated fat diet (47 % CHO, 9 % SAT and 23 % MUFA) and a high-saturated fat diet (47 % CHO, 23 % SAT and 9 % MUFA) among eleven insulin-resistant individuals during 28 d in a crossover design trial(Reference Paniagua, de la Sacristana and Romero62). A study among sixteen participants, using 49 % CHO (v. 44 % in a control diet and 40 % in a high-monounsaturated fat diet) also showed a disproportionate loss of lower-body fat resulting in an increase in the upper-body:lower-body fat ratio(Reference Walker, O'Dea and Johnson63). Nevertheless, the CHO effect might be dependent on accompanying dietary composition. Thus, when combined with a high-fibre intake, a low-fat, high-complex CHO during 12 weeks of diet (18 % fat, 63 % CHO and 26 g of fibre per 4184 kj (1000 kcal)) resulted in more substantial reduction in body weight and a higher percentage of body fat and thigh fat area loss than a high-fat, low-fibre, low-CHO diet (41 % fat, 45 % CHO and 7 g of fibre/4184 kj (1000 kcal)) in thirty-four individuals with impaired glucose tolerance(Reference Hays, Starling and Liu64). A high-protein diet (high dairy protein diet: 30 and 15 % of total energy, respectively), associated with energy restriction and aerobic exercise, produced a greater decrease in total fat, VAT and trunk fat and gained more lean mass than an adequate total protein, low-dairy protein diet (15 % and < 2 % of total energy, respectively) with similar energy intake and exercise in ninety healthy, premenopausal, overweight and obese women over 16 weeks. The reduction in VAT in all groups was correlated with intakes of Ca and protein(Reference Josse, Atkinson and Tarnopolsky65). A very-low-fat diet (12 % energy from fat) and a high-monounsaturated fat diet (35 % energy from fat, 20 % energy from monounsaturated fat) that was equal in total energy content showed equal reductions in weight, total fat mass and total abdominal fat among sixty-two women during 12 weeks(Reference Clifton, Noakes and Keogh66). Currently, a longer and larger randomised controlled trial (the CENTRAL) using MRI for quantifying the various body fat depots is currently being conducted by our group to address the long-term dynamic re-distribution of various body fat depots following different dietary interventions.

Specific dietary components

Several studies suggest that not only the overall dietary strategies but also some specific dietary constituents have a major influence on body fat distribution and related metabolic abnormalities. For example, observational studies show inverse associations between whole-grain intake and intra-abdominal fat(Reference McKeown, Troy and Jacques67, Reference McKeown, Yoshida and Shea68), while several intervention trials suggest that green tea (apparently due to its polyphenol content, in particular catechins) decreases total and subcutaneous abdominal fat areas and results in a non-significant decrease in intra-abdominal fat area compared with a control beverage(Reference Maki, Reeves and Farmer69). Novel ‘functional foods’ are still being addressed. Furthermore, consumption of different constituents, even from the same macronutrient group, may result in divergent effects on fat distribution. Thus, specific effects on body fat distribution were described for fructose. In rats, a fructose-rich diet consumed for 8 weeks resulted not only in increased visceral fat depots but also in functional derangement of both visceral and subcutaneous abdominal adipose tissues compared with rats fed a control diet in which the major sources of CHO consisted of starch and sugar. Lipid profile and plasma insulin levels were also adversely affected compared with controls(Reference Crescenzo, Bianco and Coppola70). Similarly, rats drinking fructose-enriched drinking-water exhibited a greater weight gain and greater total and VAT volumes, as well as more hypertriglyceridaemia than those drinking tap water alone(Reference Ronn, Lind and Karlsson71). Interestingly, a high-sucrose diet consumed for 20 weeks induced greater VAT accumulation without increasing body weight, in addition to a deranged lipid profile, IR and steatosis, resulting in an ‘abdominally obese and normal-weight’ rat model(Reference Cao, Liu and Cao72). In humans, fructose-sweetened beverages were also demonstrated to increase VAT in overweight/obese adults compared with glucose-sweetened beverages(Reference Stanhope, Schwarz and Keim73).

Furthermore, the effect of dietary fats on body fat might be determined by their source (fat-animal v. plant-oil source) and the specific chemical structure of the fat. Male African green monkeys received either a diet containing cis-MUFA or an equivalent diet containing the trans-isomers for 6 years(Reference Kavanagh, Jones and Sawyer74). Trans-fat fed monkeys gained significantly more weight with an increased intra-abdominal fat deposition even in the absence of energy excess. Trans-fat consumption was also associated with IR. On the contrary, consuming fish oil (instead of corn oil) during the 4 weeks of a high-fat dietary feeding study in rats partially protected against both the high-fat diet-induced increase in visceral fat mass and muscle IR(Reference Kim, Nolte and Hansen75). Moreover, in rats fed a high-fat diet for 7 weeks, supplementation with marine n-3 fatty acids resulted in smaller visceral adipose depots and decreased plasma lipid concentrations, compared with the high-fat diet control group(Reference Rokling-Andersen, Rustan and Wensaas76). Interestingly, both weight gain and body composition, including body fat percent, were similar in the two feeding groups, indicating that n-3 fatty acid feeding led to a redistribution of fat away from the visceral compartment rather than to a reduction in total fat volume. Olive oil, especially extra virgin olive oil, was also demonstrated to improve body composition, to diminish the accumulation of VAT mass and to improve the lipid profile in high-fat diet-fed rats(Reference Oi-Kano, Kawada and Watanabe77).

Atherosclerosis and cardiovascular health

Atherosclerosis is a chronic inflammatory process affecting the entire arterial system that may lead to severe clinical manifestations and death. It often starts in childhood and progresses gradually in a cumulative fashion, remaining asymptomatic for decades(Reference Ross78). It is a complex process of biochemical and cellular events occurring within the arterial wall, involving multiple cell types, interactions of many different molecular pathways and a variety of circulating mediators. Atherosclerotic lesion formation and progression depends on genetic make-up, sex and certain well-recognised risk factors, such as smoking, obesity, diabetes and deranged lipid profiles(Reference Libby79).

Dietary interventions and specific dietary items have a substantial influence on body fat distribution and subsequently on metabolic dysfunction, but do they affect cardiovascular morbidity? The MELANY(Reference Tirosh, Shai and Afek80) is a prospective study of the Israel Defense Forces Medical Corps, in which 37 674 apparently healthy young men whose BMI was measured at adolescence were followed into early adulthood. We reported that an elevated BMI in adolescence, as early as the age of 17 years, and most importantly – one that is well within the range, currently defined as normal, has distinctive relationships with type 2 diabetes and CHD later in life. Diabetes was influenced mainly by recent BMI and weight gain, i.e. shortly before diagnosis, whereas for CHD both elevated BMI in adolescence and recent BMI were independent risk factors. Furthermore, two TAG measurements obtained 5 years apart in the MELANY could assist in assessing CHD(Reference Tirosh, Rudich and Shochat81) risk in young men, suggesting that a decrease in initially elevated TAG levels is associated with a decrease in CHD risk compared with stable high TAG levels, while this risk remains higher than in those with persistently low TAG levels. These findings indicate that the natural history of CHD (in contrast with that of diabetes) is probably the consequence of cumulative atherosclerosis during adolescence and early adulthood that leads to clinically important disease in midlife.

The DIRECT(Reference Shai, Schwarzfuchs and Henkin82), a 2-year Israeli dietary intervention study that examined the metabolic effects of Mediterranean, low-CHO and low-fat diets, demonstrated a differential effect of the various diets on changes in lipid and glycaemic biomarkers known to be associated with cardiovascular risk. The results suggest that the dietary composition modifies these cardio-metabolic biomarkers independently of weight loss. It appears that these effects are mediated, at least partially, by the specific diet components. At the 4-year DIRECT follow-up study(Reference Schwarzfuchs, Golan and Shai83), after the 2-year intervention was completed, there were persistent and significant reductions from baseline in TAG and total cholesterol levels, and in the LDL:HDL-cholesterol ratio, especially in the Mediterranean and low-CHO diet groups. Hence, a 2-year intervention trial, involving healthy dietary changes, demonstrated 6-year long-lasting, favourable post-intervention effects, despite a partial regain of weight during the follow-up period.

The Spanish PREDIMED trial(Reference Estruch, Ros and Salas-Salvadó84) compared two energy-unrestricted Mediterranean diets, one supplemented with extra-virgin olive oil and the other with nuts, with a control low-fat diet among high-risk persons. This trial demonstrated that in both Mediterranean diet groups, the incidence of major cardiovascular events was substantially reduced. Interestingly, as all the interventions were intended to improve the overall dietary pattern, the major between-group differences involved the supplemental items. Thus, extra-virgin olive oil and nuts were probably responsible for most of the observed benefits of the Mediterranean diets.

Several studies suggest that dietary interventions can halt the progression of atherosclerosis(Reference Gattone and Giannuzzi85Reference Wildman, Schott and Brockwell88). In the DIRECT trial, all three dietary strategies were found to be effective in diminishing the carotid artery intima–media thickness and carotid vessel wall volume as determined by three-dimensional ultrasound. These carotid wall changes appeared to be mediated mainly by the weight loss-induced reduction in systolic blood pressure. This effect was more pronounced among mildly obese subjects who lost >5·5 kg body weight and whose systolic blood pressure declined by >7 mmHg during the intervention.

The beneficial effects of healthier dietary habits are beyond simple weight loss, as we have demonstrated recently(Reference Blüher, Rudich and Klöting89). Two patterns of adipokine and other biomarker dynamics were elucidated; whereas one pattern closely reflects weight changes, the other is suggestive of cumulative beneficial effects, possibly reflecting a delayed response to the initial weight loss or perhaps to sustained healthful dieting. Thus, weight reduction is not the sole indicator of the beneficial effects of healthful dieting, and the measurement of specific biomarkers may provide important information even in those with partial weight maintenance/regain.

Several studies addressed the effects of diet on fat depots and consequently on atherosclerosis and/or cardiovascular health. A study on diabetic pigs has suggested that a high-saturated fat/cholesterol diet induces more inflammation, atherosclerosis and ectopic fat deposition compared with an isoenergetic high-unsaturated fat diet(Reference Koopmans, Dekker and Ackermans90). In humans, a high-protein diet was associated with a greater decrease in adipocyte diameter and improvement in cardiometabolic risk factors(Reference Rizkalla, Prifti and Cotillard91). A 12-week dietary randomised study reported that a reduction of 26·6 % in fat mass was associated with an improvement of the cardiovascular risk profile in overweight individuals with contemporarily treated coronary artery disease(Reference Pedersen, Olsen and Jurs92). Finally, a recent review(Reference Garcia-Fernandez, Rico-Cabanas and Rosgaard93) noted that the Mediterranean diet is beneficial in reducing the combination of heart disease and obesity in the general population as a primary care intervention.

Summary and Conclusions

Visceral obesity and atherosclerosis should be approached as modifiable rather than ineluctable conditions. Different lifestyle and dietary strategies were developed to diminish these morbid processes and their impact on health. Moreover, specific foods and food components emerge as having significant effects, both beneficial and adverse, on accumulation of the morbid tissues and hence on health outcomes. For example, the type of the lipid provided in diets appears to be more important than its quantity, especially when considering body fat accumulation and distribution, and metabolic influences.

Acknowledgements

Financial support: There was no funding for this manuscript. Conflicts of interest: There are no conflicts of interest. Authorship: All the authors of this manuscript have equally contributed to its study.

References

1Hamdy, O, Porramatikul, S & Al-Ozairi, E (2006) Metabolic obesity: the paradox between visceral and subcutaneous fat. Curr Diabetes Rev 2, 367373.Google ScholarPubMed
2WHO (2000) Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation. WHO Technical Report Series, no. 894ixii, 1-253.Google Scholar
3Flegal, KM, Carroll, MD, Ogden, CL, et al. (2010) Prevalence and trends in obesity among US adults, 1999–2008. JAMA 303, 235241.CrossRefGoogle ScholarPubMed
4James, PT, Leach, R, Kalamara, E, et al. (2001) The worldwide obesity epidemic. Obes Res 9, Suppl. 4, 228S233S.CrossRefGoogle ScholarPubMed
5Must, A, Spadano, J, Coakley, EH, et al. (1999) The disease burden associated with overweight and obesity. JAMA 282, 15231529.CrossRefGoogle ScholarPubMed
6Stewart, ST, Cutler, DM & Rosen, AB (2009) Forecasting the effects of obesity and smoking on U.S. life expectancy. N Engl J Med 361, 22522260.CrossRefGoogle ScholarPubMed
7Bray, GA (2004) Medical consequences of obesity. J Clin Endocrinol Metab 89, 25832589.CrossRefGoogle ScholarPubMed
8Kopelman, P (2007) Health risks associated with overweight and obesity. Obes Rev 8, Suppl. 1, 1317.CrossRefGoogle ScholarPubMed
9Ali, AT & Crowther, NJ (2005) Body fat distribution and insulin resistance. S Afr Med J 95, 878880.Google ScholarPubMed
10Jensen, MD (2008) Role of body fat distribution and the metabolic complications of obesity. J Clin Endocrinol Metab 93, 11 Suppl. 1, S57S63.CrossRefGoogle ScholarPubMed
11Avram, AS, Avram, MM & James, WD (2005) Subcutaneous fat in normal and diseased states: 2. Anatomy and physiology of white and brown adipose tissue. J Am Acad Dermatol 53, 671683.CrossRefGoogle ScholarPubMed
12Frontini, A & Cinti, S (2010) Distribution and development of brown adipocytes in the murine and human adipose organ. Cell Metab 11, 253256.CrossRefGoogle ScholarPubMed
13Wells, JCK (2006) The evolution of human fatness and susceptibility to obesity: an ethological approach. Biol Rev 81, 183205.CrossRefGoogle ScholarPubMed
14Pond, CM (1998) The Fats of Life. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
15Bjorntorp, P (1974) Effects of age, sex, and clinical conditions on adipose tissue cellularity in man. Metabolism 23, 10911102.CrossRefGoogle ScholarPubMed
16Hirsch, J & Batchelor, B (1976) Adipose tissue cellularity in human obesity. Clin Endocrinol Metab 5, 299311.CrossRefGoogle ScholarPubMed
17Spalding, KL, Arner, E, Westermark, PO, et al. (2008) Dynamics of fat cell turnover in humans. Nature 453, 783787.CrossRefGoogle ScholarPubMed
18Ibrahim, MM (2010) Subcutaneous and visceral adipose tissue: structural and functional differences. Obes Rev 11, 1118.CrossRefGoogle ScholarPubMed
19Wajchenberg, BL (2000) Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome. Endocr Rev 21, 697738.CrossRefGoogle ScholarPubMed
20Golan, R, Shelef, I, Rudich, A, et al. (2012) Abdominal superficial subcutaneous fat: a putative distinct protective fat subdepot in type 2 diabetes. Diabetes Care 35, 640647.CrossRefGoogle ScholarPubMed
21Abate, N, Burns, D, Peshock, RM, et al. (1994) Estimation of adipose tissue mass by magnetic resonance imaging: validation against dissection in human cadavers. J Lipid Res 35, 14901496.CrossRefGoogle ScholarPubMed
22Abate, N, Garg, A, Peshock, RM, et al. (1995) Relationships of generalized and regional adiposity to insulin sensitivity in men. J Clin Invest 96, 8898.CrossRefGoogle ScholarPubMed
23Bouchard, C, Despres, JP & Mauriege, P (1993) Genetic and nongenetic determinants of regional fat distribution. Endocr Rev 14, 7293.CrossRefGoogle ScholarPubMed
24DeNino, WF, Tchernof, A, Dionne, IJ, et al. (2001) Contribution of abdominal adiposity to age-related differences in insulin sensitivity and plasma lipids in healthy nonobese women. Diabetes Care 24, 925932.CrossRefGoogle ScholarPubMed
25Kuk, JL, Saunders, TJ, Davidson, LE, et al. (2009) Age-related changes in total and regional fat distribution. Ageing Res Rev 8, 339348.CrossRefGoogle ScholarPubMed
26Dixon, AK (1983) Abdominal fat assessed by computed tomography: sex difference in distribution. Clin Radiol 34, 189191.CrossRefGoogle ScholarPubMed
27Smith, SR, Lovejoy, JC, Greenway, F, et al. (2001) Contributions of total body fat, abdominal subcutaneous adipose tissue compartments, and visceral adipose tissue to the metabolic complications of obesity. Metabolism 50, 425435.CrossRefGoogle Scholar
28Heid, IM, Jackson, AU, Randall, JC, et al. (2010) Meta-analysis identifies 13 new loci associated with waist–hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949960.CrossRefGoogle ScholarPubMed
29Perusse, L, Despres, JP, Lemieux, S, et al. (1996) Familial aggregation of abdominal visceral fat level: results from the Quebec family study. Metabolism 45, 378382.CrossRefGoogle ScholarPubMed
30Cypess, AM, Lehman, S, Williams, G, et al. (2009) Identification and importance of brown adipose tissue in adult humans. N Engl J Med 360, 15091517.CrossRefGoogle ScholarPubMed
31Nedergaard, J, Bengtsson, T & Cannon, B (2007) Unexpected evidence for active brown adipose tissue in adult humans. Am J Physiol Endocrinol Metab 293, E444E452.CrossRefGoogle ScholarPubMed
32Seale, P & Lazar, MA (2009) Brown fat in humans: turning up the heat on obesity. Diabetes 58, 14821484.CrossRefGoogle ScholarPubMed
33van Marken Lichtenbelt, WD, Vanhommerig, JW, Smulders, NM, et al. (2009) Cold-activated brown adipose tissue in healthy men. N Engl J Med 360, 15001508.CrossRefGoogle ScholarPubMed
34Votruba, SB, Mattison, RS, Dumesic, DA, et al. (2007) Meal fatty acid uptake in visceral fat in women. Diabetes 56, 25892597.CrossRefGoogle ScholarPubMed
35Nielsen, S, Guo, Z, Johnson, CM, et al. (2004) Splanchnic lipolysis in human obesity. J Clin Invest 113, 15821588.CrossRefGoogle ScholarPubMed
36Klein, S (2004) The case of visceral fat: argument for the defense. J Clin Invest 113, 15301532.CrossRefGoogle ScholarPubMed
37Xu, H, Barnes, GT, Yang, Q, et al. (2003) Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J Clin Invest 112, 18211830.CrossRefGoogle Scholar
38Harman-Boehm, I, Bluher, M, Redel, H, et al. (2007) Macrophage infiltration into omental versus subcutaneous fat across different populations: effect of regional adiposity and the comorbidities of obesity. J Clin Endocrinol Metab 92, 22402247.CrossRefGoogle ScholarPubMed
39Bluher, M, Bashan, N, Shai, I, et al. (2009) Activated Ask1-MKK4-p38MAPK/JNK stress signaling pathway in human omental fat tissue may link macrophage infiltration to whole-body insulin sensitivity. J Clin Endocrinol Metab 94, 25072515.CrossRefGoogle ScholarPubMed
40Vague, J (1999) The degree of masculine differentiation of obesities: a factor determining predisposition to diabetes, atherosclerosis, gout, and uric calculous disease. 1956. Nutrition 15, 8990; discussion 91.Google ScholarPubMed
41Ruderman, N, Chisholm, D, Pi-Sunyer, X, et al. (1998) The metabolically obese, normal-weight individual revisited. Diabetes 47, 699713.CrossRefGoogle ScholarPubMed
42Jensen, MD, Haymond, MW, Rizza, RA, et al. (1989) Influence of body fat distribution on free fatty acid metabolism in obesity. J Clin Invest 83, 11681173.CrossRefGoogle ScholarPubMed
43Brochu, M, Starling, RD, Tchernof, A, et al. (2000) Visceral adipose tissue is an independent correlate of glucose disposal in older obese postmenopausal women. J Clin Endocrinol Metab 85, 23782384.Google ScholarPubMed
44Goodpaster, BH, Kelley, DE, Wing, RR, et al. (1999) Effects of weight loss on regional fat distribution and insulin sensitivity in obesity. Diabetes 48, 839847.CrossRefGoogle ScholarPubMed
45Lemieux, S, Prud'homme, D, Nadeau, A, et al. (1996) Seven-year changes in body fat and visceral adipose tissue in women. Association with indexes of plasma glucose–insulin homeostasis. Diabetes Care 19, 983991.CrossRefGoogle ScholarPubMed
46Ross, R, Aru, J, Freeman, J, et al. (2002) Abdominal adiposity and insulin resistance in obese men. Am J Physiol Endocrinol Metab 282, E657E663.CrossRefGoogle ScholarPubMed
47Goodpaster, BH, Thaete, FL, Simoneau, JA, et al. (1997) Subcutaneous abdominal fat and thigh muscle composition predict insulin sensitivity independently of visceral fat. Diabetes 46, 15791585.CrossRefGoogle ScholarPubMed
48Maffeis, C, Manfredi, R, Trombetta, M, et al. (2008) Insulin sensitivity is correlated with subcutaneous but not visceral body fat in overweight and obese prepubertal children. J Clin Endocrinol Metab 93, 21222128.CrossRefGoogle Scholar
49Wagenknecht, LE, Langefeld, CD, Scherzinger, AL, et al. (2003) Insulin sensitivity, insulin secretion, and abdominal fat: the Insulin Resistance Atherosclerosis Study (IRAS) Family Study. Diabetes 52, 24902496.CrossRefGoogle ScholarPubMed
50Frayn, KN (2000) Visceral fat and insulin resistance – causative or correlative? Br J Nutr 83, Suppl. 1, S71S77.CrossRefGoogle ScholarPubMed
51Kelley, DE, Thaete, FL, Troost, F, et al. (2000) Subdivisions of subcutaneous abdominal adipose tissue and insulin resistance. Am J Physiol Endocrinol Metab 278, E941E948.CrossRefGoogle ScholarPubMed
52Misra, A, Garg, A, Abate, N, et al. (1997) Relationship of anterior and posterior subcutaneous abdominal fat to insulin sensitivity in nondiabetic men. Obes Res 5, 9399.CrossRefGoogle ScholarPubMed
53Monzon, JR, Basile, R, Heneghan, S, et al. (2002) Lipolysis in adipocytes isolated from deep and superficial subcutaneous adipose tissue. Obes Res 10, 266269.CrossRefGoogle ScholarPubMed
54Cannon, B & Nedergaard, J (2004) Brown adipose tissue: function and physiological significance. Physiol Rev 84, 277359.CrossRefGoogle ScholarPubMed
55Bartelt, A, Bruns, OT, Reimer, R, et al. (2011) Brown adipose tissue activity controls triglyceride clearance. Nat Med 17, 200205.CrossRefGoogle ScholarPubMed
56Nedergaard, J, Bengtsson, T & Cannon, B (2011) New powers of brown fat: fighting the metabolic syndrome. Cell Metab 13, 238240.CrossRefGoogle ScholarPubMed
57Smith, SR & Zachwieja, JJ (1999) Visceral adipose tissue: a critical review of intervention strategies. Int J Obes Relat Metab Disord 23, 329335.CrossRefGoogle ScholarPubMed
58Chaston, TB & Dixon, JB (2008) Factors associated with percent change in visceral versus subcutaneous abdominal fat during weight loss: findings from a systematic review. Int J Obes (Lond) 32, 619628.CrossRefGoogle ScholarPubMed
59Hall, KD & Hallgreen, CE (2008) Increasing weight loss attenuates the preferential loss of visceral compared with subcutaneous fat: a predicted result of an allometric model. Int J Obes (Lond) 32, 722.CrossRefGoogle ScholarPubMed
60Iacobellis, G, Singh, N, Wharton, S, et al. (2008) Substantial changes in epicardial fat thickness after weight loss in severely obese subjects. Obesity (Silver Spring) 16, 16931697.CrossRefGoogle ScholarPubMed
61Miyashita, Y, Koide, N, Ohtsuka, M, et al. (2004) Beneficial effect of low carbohydrate in low calorie diets on visceral fat reduction in type 2 diabetic patients with obesity. Diabetes Res Clin Pract 65, 235241.CrossRefGoogle ScholarPubMed
62Paniagua, JA, de la Sacristana, A Gallego, Romero, I, et al. (2007) Monounsaturated fat-rich diet prevents central body fat distribution and decreases postprandial adiponectin expression induced by a carbohydrate-rich diet in insulin-resistant subjects. Diabetes Care 30, 17171723.CrossRefGoogle ScholarPubMed
63Walker, KZ, O'Dea, K, Johnson, L, et al. (1996) Body fat distribution and non-insulin-dependent diabetes: comparison of a fiber-rich, high-carbohydrate, low-fat (23 %) diet and a 35 % fat diet high in monounsaturated fat. Am J Clin Nutr 63, 254260.CrossRefGoogle Scholar
64Hays, NP, Starling, RD, Liu, X, et al. (2004) Effects of an ad libitum low-fat, high-carbohydrate diet on body weight, body composition, and fat distribution in older men and women: a randomized controlled trial. Arch Intern Med 164, 210217.CrossRefGoogle ScholarPubMed
65Josse, AR, Atkinson, SA, Tarnopolsky, MA, et al. (2011) Increased consumption of dairy foods and protein during diet- and exercise-induced weight loss promotes fat mass loss and lean mass gain in overweight and obese premenopausal women. J Nutr 141, 16261634.CrossRefGoogle ScholarPubMed
66Clifton, PM, Noakes, M & Keogh, JB (2004) Very low-fat (12 %) and high monounsaturated fat (35 %) diets do not differentially affect abdominal fat loss in overweight, nondiabetic women. J Nutr 134, 17411745.CrossRefGoogle Scholar
67McKeown, NM, Troy, LM, Jacques, PF, et al. (2010) Whole- and refined-grain intakes are differentially associated with abdominal visceral and subcutaneous adiposity in healthy adults: the Framingham Heart Study. Am J Clin Nutr 92, 11651171.CrossRefGoogle ScholarPubMed
68McKeown, NM, Yoshida, M, Shea, MK, et al. (2009) Whole-grain intake and cereal fiber are associated with lower abdominal adiposity in older adults. J Nutr 139, 19501955.CrossRefGoogle ScholarPubMed
69Maki, KC, Reeves, MS, Farmer, M, et al. (2009) Green tea catechin consumption enhances exercise-induced abdominal fat loss in overweight and obese adults. J Nutr 139, 264270.CrossRefGoogle ScholarPubMed
70Crescenzo, R, Bianco, F, Coppola, P, et al. (2014) Adipose tissue remodeling in rats exhibiting fructose-induced obesity. Eur J Nutr 53, 413419.CrossRefGoogle ScholarPubMed
71Ronn, M, Lind, PM, Karlsson, H, et al. (2013) Quantification of total and visceral adipose tissue in fructose-fed rats using water-fat separated single echo MRI. Obesity (Silver Spring) 21, E388E395.CrossRefGoogle ScholarPubMed
72Cao, L, Liu, X, Cao, H, et al. (2012) Modified high-sucrose diet-induced abdominally obese and normal-weight rats developed high plasma free fatty acid and insulin resistance. Oxid Med Cell Longev. 2012, 374346.CrossRefGoogle ScholarPubMed
73Stanhope, KL, Schwarz, JM, Keim, NL, et al. (2009) Consuming fructose-sweetened, not glucose-sweetened, beverages increases visceral adiposity and lipids and decreases insulin sensitivity in overweight/obese humans. J Clin Invest 119, 13221334.CrossRefGoogle Scholar
74Kavanagh, K, Jones, KL, Sawyer, J, et al. (2007) Trans fat diet induces abdominal obesity and changes in insulin sensitivity in monkeys. Obesity (Silver Spring) 15, 16751684.CrossRefGoogle ScholarPubMed
75Kim, JY, Nolte, LA, Hansen, PA, et al. (2000) High-fat diet-induced muscle insulin resistance: relationship to visceral fat mass. Am J Physiol Regul Integr Comp Physiol 279, R2057R2065.CrossRefGoogle ScholarPubMed
76Rokling-Andersen, MH, Rustan, AC, Wensaas, AJ, et al. (2009) Marine n-3 fatty acids promote size reduction of visceral adipose depots, without altering body weight and composition, in male Wistar rats fed a high-fat diet. Br J Nutr 102, 9951006.CrossRefGoogle ScholarPubMed
77Oi-Kano, Y, Kawada, T, Watanabe, T, et al. (2007) Extra virgin olive oil increases uncoupling protein 1 content in brown adipose tissue and enhances noradrenaline and adrenaline secretions in rats. J Nutr Biochem 18, 685692.CrossRefGoogle ScholarPubMed
78Ross, R (1990 s) The pathogenesis of atherosclerosis: a perspective for the 1990s. Nature 362, 801809.CrossRefGoogle Scholar
79Libby, P (2000) Changing concepts of atherogenesis. J Intern Med 247, 349358.CrossRefGoogle ScholarPubMed
80Tirosh, A, Shai, I, Afek, A, et al. (2011) Adolescent BMI trajectory and risk of diabetes versus coronary disease. N Engl J Med 364, 13151325.CrossRefGoogle ScholarPubMed
81Tirosh, A, Rudich, A, Shochat, T, et al. (2007) Changes in triglyceride levels and risk for coronary heart disease in young men. Ann Intern Med 147, 377385.CrossRefGoogle ScholarPubMed
82Shai, I, Schwarzfuchs, D, Henkin, Y, et al. (2008) Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. N Engl J Med 359, 229241.CrossRefGoogle ScholarPubMed
83Schwarzfuchs, D, Golan, R & Shai, I (2012) Four-year follow-up after two-year dietary interventions. N Engl J Med 367, 13731374.CrossRefGoogle ScholarPubMed
84Estruch, R, Ros, E, Salas-Salvadó, J, et al. (2013) Primary prevention of cardiovascular disease with a Mediterranean Diet. N Engl J Med 368, 12791290.CrossRefGoogle ScholarPubMed
85Gattone, M & Giannuzzi, P (2006) Interventional strategies in early atherosclerosis. Monaldi Arch Chest Dis 66, 5462.Google ScholarPubMed
86Hjerkinn, EM, Abdelnoor, M, Breivik, L, et al. (2006) Effect of diet or very long chain omega-3 fatty acids on progression of atherosclerosis, evaluated by carotid plaques, intima–media thickness and by pulse wave propagation in elderly men with hypercholesterolaemia. Eur J Cardiovasc Prev Rehabil 13, 325333.Google ScholarPubMed
87Markus, RA, Mack, WJ, Azen, SP, et al. (1997) Influence of lifestyle modification on atherosclerotic progression determined by ultrasonographic change in the common carotid intima–media thickness. Am J Clin Nutr 65, 10001004.CrossRefGoogle ScholarPubMed
88Wildman, RP, Schott, LL, Brockwell, S, et al. (2004) A dietary and exercise intervention slows menopause-associated progression of subclinical atherosclerosis as measured by intima–media thickness of the carotid arteries. J Am Coll Cardiol 44, 579585.CrossRefGoogle ScholarPubMed
89Blüher, M, Rudich, A, Klöting, N, et al. (2012) Two patterns of adipokine and other biomarker dynamics in a long-term weight loss intervention. Diabetes Care 35, 342349.CrossRefGoogle Scholar
90Koopmans, SJ, Dekker, R, Ackermans, MT, et al. (2011) Dietary saturated fat/cholesterol, but not unsaturated fat or starch, induces C-reactive protein associated early atherosclerosis and ectopic fat deposition in diabetic pigs. Cardiovasc Diabetol 10, 64.CrossRefGoogle ScholarPubMed
91Rizkalla, SW, Prifti, E, Cotillard, A, et al. (2012) Differential effects of macronutrient content in 2 energy-restricted diets on cardiovascular risk factors and adipose tissue cell size in moderately obese individuals: a randomized controlled trial. Am J Clin Nutr 95, 4963.CrossRefGoogle ScholarPubMed
92Pedersen, LR, Olsen, RH, Jurs, A, et al. (2014) A randomised trial comparing weight loss with aerobic exercise in overweight individuals with coronary artery disease: The CUT-IT trial. Eur J Prev Cardiol (Epublication ahead of print version 31 July 2014).Google ScholarPubMed
93Garcia-Fernandez, E, Rico-Cabanas, L, Rosgaard, N, et al. (2014) Mediterranean diet and cardiodiabesity: a review. Nutrients 6, 34743500.CrossRefGoogle ScholarPubMed