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J Appl Physiol 102: 1308-1309, 2007. First published December 21, 2006; doi:10.1152/japplphysiol.01444.2006
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INVITED EDITORIAL

Inactivity and fat cell hyperplasia: fat chance?

Christian K. Roberts

Department of Preventive Medicine
University of Southern California
Los Angeles, California
e-mail: christian.roberts{at}usc.edu

IT IS NO SECRET THAT OBESITY and obesity-related metabolic disorders are rising unabated in the United States (5, 6), and this epidemic has not eluded children. From 1999–2000 to 2003–2004, the prevalence of overweight children/adolescents increased from 13.8 to 16.0% for males and 14.0 to 18.2% for females (13). Of the three major actual causes of death (tobacco, poor diet, and physical inactivity) as classified by the Centers for Disease Control (12), physical inactivity has received the least attention.

One paradigm of physical inactivity is based on the premise that physically active subjects (or animals) should be the control group (2). Using a young animal model consuming 17% of their diet as fat calories, Booth and colleagues have established in a series of eloquent studies that incorporation of voluntary running wheel lock, inducing physical inactivity (for ~2 days) after a period of voluntary physical activity (>3 wk), results in a rapid loss of submaximal insulin stimulated 2-deoxyglucose uptake into epitrochlearis muscle, mediated, at least in part, through decreases in insulin receptor beta-subunit protein, insulin receptor beta-subunit tyrosine phosphorylation, GLUT4 and Akt phosphorylation (7), and a rise in palmitate incorporation into triglyceride (TG; an index of triglyceride synthesis) in epididymal adipose tissue (8), mediated, in part, by an increase in mitochondrial glycerol-3-phosphate acyltransferase, a key regulator of TG synthesis (9). These changes were associated with increases in both plasma insulin and TG ~2 days after wheel lock. Additionally, this group noted an increase in abdominal fat accumulation after ~2 days of wheel lock. In these studies, animals were fed ad libitum and consumed more food than sedentary rats during activity and wheel-lock phases, raising the possibility that the increase in abdominal adiposity was simply due to the inability of the animals to acutely regulate their food intake with inactivity, resulting in caloric excess.

In their current study in this issue of the Journal of Applied Physiology, Laye et al. (10) set out to determine whether 1) the increase in abdominal adiposity was simply a function of excess food intake during wheel lock; 2) extension of the wheel lock would indicate a transient effect; and 3) an increase in abdominal fat was maintained, and whether the increase in abdominal fat noted was explained by an increase in adipocyte hypertrophy and/or hyperplasia. To test these hypotheses, the authors employed a pair-feeding model and a 1-wk wheel-lock phase.

Laye et al. (10) noted two significant findings. First, enlargement of fat mass occurred with both ad libitum and pair feeding, suggesting that the effects were not simply due to the overconsumption of food. Ironically, food intake in the ad libitum-fed group returned to sedentary values by the fourth day of wheel lock, indicating that pair-fed and ad libitum groups consumed similar calories after the fourth day (Fig. 2, A–D). Additionally, most of the increase in fat occurred between the second and seventh day of wheel lock (Fig. 3, A–C). During the 7-day period of wheel lock, the increase in body size was only 0.5% in the pair-fed group and 3.5% in the ad libitum group, suggesting that the large increases in fat mass noted were largely independent of body mass. The data that increased fat mass occurred when normalized to body mass support this contention. Taken together, these data indicate that the increase in abdominal fat was not due to the inability of this rat model to regulate its food intake.

Second, these authors noted rapid adipocyte hyperplasia (Fig. 6), but not hypertrophy (Figs. 4 and 5), in this model. During the period of voluntary running, body mass increased fivefold, but voluntary running restricted the growth of fat in proportion to body mass. These results are very provocative given the conventional view that early changes in fat are thought to be mediated predominately by adipocyte hypertrophy (14).

What was responsible for the rapid increase in fat stores and fat cell hyperplasia? It is possible that evolutionary programs are evoked by intermittent periods of inactivity to facilitate fat stores. That is, when fat mass is proportionally less than homeostatic for body mass, there may be a survival mechanism activated such that when excess calories reoccur, preadipocytes respond by hyperplasia. This response is not surprising. In a previous study (15), we speculated that the homeostatic drive for food may play a role in the reestablishment of body fat stores and energy homeostasis. Similarly, the drive to reestablish energy stores may facilitate fat deposition after periods of inactivity, because of enzymatic adaptations (9). This may be analogous, to a degree, to the restoration of glycogen after its acute depletion via carbohydrate restriction and exercise, resulting from enzymatic adaptations, as the body tries to return glycogen to homeostatic levels. A similar mechanism may occur with physical activity in which the body may sense decreased fat stores and the desire to maintain homeostatic levels in the face of any future caloric deficit that is countered by an increased number of adipocytes, which theoretically could store more lipid in times of caloric excess. A recent report by MacLean et al. (11) found a similar response in a different model where obesity-prone rats were calorically restricted; on the presentation of ad libitum food, adipocyte number and fat mass overshot cohorts never experiencing the food restriction. Because the proteins C/enhancer binding protein-beta, C/enhancer binding protein-{alpha}, and peroxisome proliferator-activated receptor-{gamma} play a role in adipogenesis (14), they desire future study. Interestingly, Laye et al. (10) analyzed only the epididymal fat for hyperplasia, which exhibited the lowest percent increase in fat mass of the three fat pads, suggesting that even relatively smaller increases in fat mass exhibit hyperplasia.

Others have described the recovery of adiposity from a low proportion of fat to body mass in humans as "adiposity rebound." Adiposity rebound has been noted in children, and it increases the risk of future obesity (3, 16), glucose intolerance (1), and diabetes (4). The activity to inactivity transition and the resulting increase in fat might be analogous to adiposity rebound. Indeed, adiposity rebound has been attributed to periods of physical inactivity in humans (17). Physical activity in the Laye et al. (10) article slowed the growth of abdominal adipose tissue, and the ensuing period of physical inactivity permitted fat cell hyperplasia that was even greater than in animals never exposed to wheel running. It is conceivable that inactivity early in life may program "thrifty" genes that will exert adverse metabolic consequences later in life. Furthermore, one can speculate that minicycles of adiposity rebound with chronic activity and inactivity over a period of years could incrementally increase adipocyte number above those without such cycling. This speculation is based on the priority of selection pressures to efficiently store calories as fat after decreases in fat mass in the event of future caloric insufficiency. A similar mechanism may also explain the commonly noted weight regain that occurs with repeated dietary cycling.

The findings of Laye et al. (10) raise many questions for future studies. What is the long-term effect of repeated activity-inactivity transitions on fat cell number? Does chronic inactivity lead to the same adaptation to increase adipose tissue mass? Do older animals gain fat during periods of inactivity as rapidly? Additionally, the effects of inactivity transitions in humans remain to be determined. This animal model may provide insight into adiposity rebound mechanisms given difficulties in obtaining fat biopsies from youth. Nevertheless, the provocative report by Laye et al. provides evidence that we need to recognize that adaptations resulting from transitioning from activity to inactivity are likely distinct from the inactivity to activity transition, and they may have deleterious consequences that increase future chronic disease risk.

REFERENCES

  1. Bhargava SK, Sachdev HS, Fall CH, Osmond C, Lakshmy R, Barker DJ, Biswas SK, Ramji S, Prabhakaran D, Reddy KS. Relation of serial changes in childhood body-mass index to impaired glucose tolerance in young adulthood. N Engl J Med 350: 865–875, 2004.[Abstract/Free Full Text]
  2. Booth FW, Lees SJ. Physically active subjects should be the control group. Med Sci Sports Exerc 38: 405–406, 2006.
  3. Dietz WH. Overweight in childhood and adolescence. N Engl J Med 350: 855–857, 2004.[Free Full Text]
  4. Eriksson JG, Forsen T, Tuomilehto J, Osmond C, Barker DJ. Early adiposity rebound in childhood and risk of Type 2 diabetes in adult life. Diabetologia 46: 190–194, 2003.[Web of Science][Medline]
  5. Flegal KM, Carroll MD, Ogden CL, Johnson CL. Prevalence and trends in obesity among US adults, 1999–2000. JAMA 288: 1723–1727, 2002.[Abstract/Free Full Text]
  6. Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA 287: 356–359, 2002.[Abstract/Free Full Text]
  7. Kump DS, Booth FW. Alterations in insulin receptor signalling in the rat epitrochlearis muscle upon cessation of voluntary exercise. J Physiol 562: 829–838, 2005.[Abstract/Free Full Text]
  8. Kump DS, Booth FW. Sustained rise in triacylglycerol synthesis and increased epididymal fat mass when rats cease voluntary wheel running. J Physiol 565: 911–925, 2005.[Abstract/Free Full Text]
  9. Kump DS, Laye MJ, Booth FW. Increased mitochondrial glycerol-3-phosphate acyltransferase protein and enzyme activity in rat epididymal fat upon cessation of wheel running. Am J Physiol Endocrinol Metab 290: E480–E489, 2006.[Abstract/Free Full Text]
  10. Laye MJ, Thyfault JP, Stump CS, Booth FW. Inactivity induces increases in abdominal fat. J Appl Physiol 102: 1341–1347, 2007.[Abstract/Free Full Text]
  11. MacLean PS, Higgins JA, Jackman MR, Johnson GC, Fleming-Elder BK, Wyatt HR, Melanson EL, Hill JO. Peripheral metabolic responses to prolonged weight reduction that promote rapid, efficient regain in obesity-prone rats. Am J Physiol Regul Integr Comp Physiol 290: R1577–R1588, 2006.[Abstract/Free Full Text]
  12. Mokdad AH, Marks JS, Stroup DF, Gerberding JL. Actual causes of death in the United States, 2000. JAMA 291: 1238–1245, 2004.[Abstract/Free Full Text]
  13. Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of overweight and obesity in the United States, 1999–2004. JAMA 295: 1549–1555, 2006.[Abstract/Free Full Text]
  14. Otto TC, Lane MD. Adipose development: from stem cell to adipocyte. Crit Rev Biochem Mol Biol 40: 229–242, 2005.[CrossRef][Web of Science][Medline]
  15. Roberts CK, Berger JJ, Barnard RJ. Long-term effects of diet on leptin, energy intake, and activity in a model of diet-induced obesity. J Appl Physiol 93: 887–893, 2002.[Abstract/Free Full Text]
  16. Rolland-Cachera MF, Deheeger M, Maillot M, Bellisle F. Early adiposity rebound: causes and consequences for obesity in children and adults. Int J Obes (Lond) 30, Suppl 4: S11–S17, 2006.[CrossRef]
  17. Taylor RW, Grant AM, Goulding A, Williams SM. Early adiposity rebound: review of papers linking this to subsequent obesity in children and adults. Curr Opin Clin Nutr Metab Care 8: 607–612, 2005.[Web of Science][Medline]




This Article
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