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British Journal of Cancer logoLink to British Journal of Cancer
. 2004 Mar 2;90(6):1129–1132. doi: 10.1038/sj.bjc.6601712

The response of leptin, interleukin-6 and fat oxidation to feeding in weight-losing patients with pancreatic cancer

M D Barber 1, D C McMillan 2,*, A M Wallace 3, J A Ross 1, T Preston 4, K C H Fearon 1
PMCID: PMC2409662  PMID: 15026790

Abstract

At baseline, weight-losing pancreatic cancer patients (n=7) had lower leptin (P<0.05) but higher cortisol, interleukin-6, resting energy expenditure and fat oxidation than healthy subjects (n=6, P<0.05). Over a 4 h feeding period, the areas under the curve for glucose, cortisol and interleukin-6 were greater (P<0.05), but less for leptin in the cancer group (P<0.05). Therefore, it would appear that low leptin concentrations, increased fat oxidation and insulin resistance are associated with increased concentrations of cortisol and interleukin-6 in weight-losing patients with pancreatic cancer.

Keywords: leptin, interleukin-6, insulin, cortisol, fat oxidation, feeding, weight loss, pancreatic cancer


The discovery of leptin, an adipocyte-secreted protein that acts on the central nervous system to regulate body weight in animals (Pelleymounter et al, 1995), has stimulated interest in the role of leptin in humans both in the obese and cachectic states. Evidence, in animals, suggests that circulating leptin concentrations regulate energy intake centrally (primarily through appetite) and expenditure (primarily through substrate oxidation) by a control feedback loop involving neuropeptide Y (Inui, 1999). Evidence, in humans, indicates that the major role of leptin appears in the adaptation to reduced energy intake and reduced body fat stores (Havel, 2002).

In studies of cachectic cancer patients, the role of leptin appears more complex since the fall in leptin concentrations which accompanies a loss of body fat appears not to be associated with an improvement in energy balance (Simons et al, 1997; Wallace et al, 1998). Little is known about the regulation of leptin production during feeding and its effect on fat oxidation in humans. However, recent studies have indicated that increased leptin concentrations are associated with increased fat oxidation (Havel, 2002).

It is now recognised that the presence of a systemic inflammatory response is associated with an increase in substrate oxidation and resting energy expenditure in patients with chronic disease states such as cancer (Fearon et al, 1999; Kotler, 2000). In particular, the pro-inflammatory cytokine interleukin-6 is likely to be important in this catabolic process since it is known to act on the central nervous system to reduce appetite (Havel, 2002), results in increased substrate oxidation when infused (Stouthard et al, 1995) and is recognised to be associated with weight loss in cancer patients (Fearon et al, 1991; Scott et al, 1996).

It is of interest that interleukin-6 shares structural and some functional similarities to leptin. Both are released in response to injury at a similar time (Wallace et al, 2000), and are capable of activating the same hypothalamic receptor (Inui, 1999), and therefore interleukin-6 might mimic the anorexogenic effect of leptin. This concept is consistent with the observations that intracerebroventricular infusion of physiological doses of interleukin-6 in rodents has been shown to result in reduction of fat mass without inducing an acute-phase protein response (Wallenius et al, 2002).

It has long been recognised that following an overnight fast, provision of calories will reduce fat oxidation in both healthy subjects and weight-losing cancer patients (Selberg et al, 1990). Such an intervention would allow critical examination of the inter-relationships between circulating concentrations of leptin, interleukin-6 and fat oxidation during feeding in healthy subjects and weight-losing cancer patients.

PATIENTS AND METHODS

Weight-losing cancer patients with an unequivocal diagnosis of pancreatic cancer were studied. No patient had clinical evidence of ascites, peripheral oedema, diabetes mellitus or malabsorption nor had undergone surgery, chemotherapy or radiotherapy in the preceding 4 weeks. No patient had clinical or radiological evidence of infection, were jaundiced or severely anaemic or were receiving steroids.

Healthy weight-stable subjects were studied as a control group.

Study design

The study protocol was as previously described (Barber et al, 2000). Briefly, after an overnight fast, at 08:00 h baseline blood samples were collected for assessment of leptin, interleukin-6, insulin and cortisol. Following a rest period of at least 20 min baseline, oxygen consumption and carbon dioxide production were measured over a 20 min period using a ventilated hood indirect calorimeter (Deltatrac II, Datex, Helsinki, Finland). Resting energy expenditure was calculated as previously described (Barber et al, 2000). Healthy subjects and cancer patients received hourly meals (for 4 h) of a balanced whole protein liquid nutritional supplement (Fortisip, Nutricia, Zoetermeer, Holland), each meal providing one-twelfth of the estimated energy requirement (measured resting energy expenditure X 1.44). During the 4 h feeding period, the subject or patient continued to rest in the supine position and energy expenditure measurements were repeated every 40 min for 20 min and blood sampling was repeated every 30 min.

Urine was collected by healthy subjects and cancer patients for the 24 h period prior to attendance. The urine was collected over the 4 h study period to provide an estimate of urinary nitrogen excretion in the fed state.

The study was approved by the Research Ethics Committee of Edinburgh Royal Infirmary University NHS trust. All subjects were informed of the purpose and procedure of the study and gave written consent.

Methods

Serum leptin was measured using a commercial kit (Human Leptin RIA kit; Linco Research Inc., St Charles, MO, USA). The limit of sensitivity was 0.5 μg l−1, and the intra- and inter-assay coefficients of variation were 5.8 and 6.5%, respectively, over the sample concentration range.

Circulating concentrations of interleukin-6 were measured using a solid-phase sandwich enzyme-linked immunosorbent assay (ELISA, Diaclone Research, Bescanon, France). The lower level of detection was 2 μg l−1 and the intra- and inter-assay variabilities were less than 4 and 6%, respectively, over the sample concentration range.

Circulating concentrations of insulin and cortisol were measured as previously described (Fearon et al, 1998).

Total body water was measured using a bioelectrical impedance system (Xitron 4000B; Xitron Technologies, San Diego, CA, USA). The error of the method is approximately 10% (Hannan et al, 1995). Body fat was calculated using the following formulae:

Fat-free mass (kg)=total body water/0.73

Body fat mass=weight−fat-free mass

Urinary nitrogen was estimated using a rapid combustion and thermal conductivity cell method (Leco FP-328, St Joseph, MI, USA).

Energy expenditure was measured by indirect calorimetry using a ventilated hood system (Deltatrac II, Datex, Helsinki, Finland). Coefficient of variation was less than 5%. Substrate utilisation was calculated from oxygen consumption and carbon dioxide production (provided by indirect calorimetry) and urinary N excretion in the fasting (baseline) and fed (after 200 min of the feeding protocol) states, as previously described (Barber et al, 2000).

Statistics

Data are presented as the median and range. Where appropriate, serial data from time points during the feeding period were tested for statistical significance using the Friedman Rank test. Analysis between control and cancer groups was performed using the Mann–Whitney U-test. Statistical analysis was performed using SPSS software (SPSS Inc., Chicago, IL, USA).

RESULTS

The characteristics of healthy subjects and patients are shown in Table 1 . At baseline, compared with the healthy subjects, cancer patients had less weight and fat mass (P<0.05) and had lower circulating concentrations of leptin (P<0.05), but higher concentrations of cortisol and interleukin-6 (P<0.05). Resting energy expenditure and fat oxidation were greater in the cancer group (P<0.05).

Table 1. Baseline characteristics of healthy subjects and weight losing cancer patients.

  Healthy subjects (n=6) Cancer patients (n=7)  
  Median (range) Median (range) P-value
Sex (m/f) 3/3 3/4 1.000
Age (years) 54 (50–62) 59 (56–75) 0.018
BMI 26.3 (20.8–36.1) 20.4 (16.4–22.9) 0.010
Body fat mass (kg) 26.3 (16.8–40.3) 16.0 (12.6–20.1) 0.015
Weight loss (%)   15.9 (12.7–20.7)  
       
Insulin (mIU l−1) 6.2 (4.5–16.8) 4.2 (3.5–8.1) 0.063
Glucose (mmol l−1) 5.1 (4.5–5.6) 5.6 (4.4–6.1) 0.564
Cortisol (nmol l−1) 521 (382–626) 639 (437–677) 0.022
Leptin (μg l−1) 12.9 (5.1–49.8) 2.1 (1.3–14.6) 0.032
Interleukin-6 (ng l−1) <2 (<2–<2) 4.1 (<2–9.4) 0.024
       
Resting energy expenditure (kcal day−1) 1565 (1270–1940) 1425 (1035–1710) 0.199
Resting energy expenditure (kcal (kg body weight)−1 day−1) 20.2 (16.3–23.3) 24.3 (19.5–27.7) 0.046
Fat oxidation (mg min−1) 64.4 (39.4–83.0) 71.1 (20.4–109.3) 0.474
Fat oxidation (mg (kg body fat mass)−1 min−1) 2.44 (1.48–3.14) 4.73 (1.19–6.85) 0.032

Over the 4 h feeding period, insulin concentrations increased significantly both in the control (P=0.006) and cancer groups (P<0.001). In contrast, glucose concentrations remained stable in the control (P=0.318) and cancer groups (P=0.101). Cortisol concentrations fell significantly both in the control (P<0.001) and cancer groups (P<0.001). Leptin concentrations remained stable in the control (P=0.186) and cancer (P=0.062) groups. Similarly, in the cancer group with detectable interleukin-6 concentrations, they were not significantly altered (P=0.869) over the feeding period. Energy expenditure increased in the control (P=0.002) and cancer groups (P=0.003). In contrast, fat oxidation only fell in the cancer group (P=0.008).

The areas under the curve for the measured parameters are given in Table 2 . Over the feeding period, the area under the curve for glucose, cortisol and interleukin-6 were greater in the cancer group compared with the control group (P<0.05), whereas leptin was significantly less for the cancer group (P<0.05). The areas under the curve for insulin, energy expenditure and fat oxidation were similar in both groups.

Table 2. Feeding response of healthy subjects and weight-losing cancer patients.

  Healthy subjects (n=6) Cancer patients (n=7)  
  Median (range) Median (range) P-value
Area under the curve over the feeding period (200 min)
 Insulin (IU l−1) 4.57 (2.82–9.05) 3.73 (2.72–7.26) 0.366
 Glucose (mol l−1) 1.09 (0.94–1.20) 1.44 (1.15–1.76) 0.005
 Cortisol (mmol l−1) 58.8 (52.8–81.3) 81.9 (65.3–128) 0.022
 Leptin (mg l−1) 2.59 (0.94–9.97) 0.33 (0.22–2.69) 0.022
 Interleukin-6 (ng l−1) <2 (<2–<2) 753 (420–1554) 0.048
 
 Energy expenditure (cal) 341.8 (285.8–435.3) 289.8 (212.4–355.0) 0.138
 Energy expenditure (cal (kg body weight)−1) 4.61 (3.56–5.33) 5.14 (4.16–5.63) 0.101
 Fat oxidation (g) 10.9 (8.1–12.5) 9.4 (2.4–18.1) 1.000
 Fat oxidation (mg (kg body fat mass)−1) 380 (286–619) 678 (142–1036) 0.101

The molar ratio (molecular weights of leptin and interleukin-6 are 16 and 26 kDa, respectively) of the areas under the curve for leptin and interleukin-6 was approximately 1000-fold greater in the weight-losing cancer group (P<0.01).

DISCUSSION

Few studies have examined the acute effect of feeding on circulating leptin concentrations in healthy subjects. Clapham et al (1997) reported no change in leptin concentrations in either adipose tissue or the plasma for 3 h following a mixed meal. Similarly, Dallongeville et al (1998) reported no change up until 6 h following a mixed meal. The results of the present study confirm these findings and would indicate that, in healthy subjects, circulating leptin concentrations are not altered acutely on feeding. To our knowledge, there have been no studies which have examined the acute effect of feeding in cancer patients.

In the present study, at baseline, weight-losing cancer patients had less fat, lower leptin concentrations and had increased concentrations of the catabolic mediators cortisol and interleukin-6. Despite a lower body weight and body fat mass, the cancer group had a higher resting energy expenditure and higher fat oxidation compared with the control group. Over the feeding period, the total amount of circulating leptin was less and the total amounts of glucose, cortisol and interleukin-6 were greater than that of the control group. Taken together, the results of the present small study would suggest that weight loss in pancreatic cancer patients is associated with an increase in catabolic mediators, insulin resistance and a reduction in leptin concentrations.

The clinical consequences of lower circulating concentrations of leptin and the greater concentrations of glucose, cortisol and interleukin-6 in cancer patients in the fed state are likely to be profound. These include continuing loss of lean and adipose tissue and the consequent decline in physical function (Fearon et al, 1999) and continuing impairment of the immune system and the consequent increase in infection (Fantuzzi and Faggioni, 2000).

Given their similar receptor activity, the reciprocal relationship between interleukin-6 and leptin is of interest. Indeed, between the control and cancer groups, there was a large increase in their molar ratio. Whether this is responsible for or secondary to the insulin resistance seen in the present study is not clear. However, an infusion of interleukin-6 has been shown to increase cortisol concentrations and fat oxidation in cancer patients (Stouthard et al, 1995). Furthermore, euglycaemic hyperinsulinaemic glucose-clamp studies have reported that insulin resistance increases with elevated circulating concentrations of interleukin-6 (Makino et al, 1998). These results would be consistent with observations that pancreatic tumour cell lines produce increased amounts of interleukin-6 (Wigmore et al, 2002).

If this were to be the case, then reduction of interleukin-6 concentrations would be a prerequisite for the reduction of insulin resistance and fat oxidation in weight-losing pancreatic cancer patients. Therefore, it is of interest that administration of fish oil has been shown to decrease interleukin-6 and cortisol concentrations and preserve fat tissue in these patients (Barber, 2001).

In summary, low circulating concentrations of leptin, increased fat oxidation and insulin resistance are associated with increased circulating concentrations of cortisol and interleukin-6 in weight-losing patients with pancreatic cancer.

References

  1. Barber MD (2001) Cancer cachexia and its treatment with fish-oil-enriched nutritional supplementation. Nutrition 17: 751–755 [DOI] [PubMed] [Google Scholar]
  2. Barber MD, McMillan DC, Preston T, Ross JA, Fearon KCH (2000) Metabolic response to feeding in weight-losing pancreatic cancer patients and its modulation by a fish-oil-enriched nutritional supplement. Clin Sci 98: 389–399 [PubMed] [Google Scholar]
  3. Clapham JC, Smith SA, Moore GB, Hughes MG, Azam H, Scott A, Jung RT (1997) Plasma leptin concentrations and OB gene expression in subcutaneous adipose tissue are not regulated acutely by physiological hyperinsulinaemia in lean and obese humans. Int J Obes Relat Metab Disord 21: 179–183 [DOI] [PubMed] [Google Scholar]
  4. Dallongeville J, Hecquet B, Lebel P, Edme JL, Le Fur C, Fruchart JC, Auwerx J, Romon M (1998) Short term response of circulating leptin to feeding and fasting in man: influence of circadian cycle. Int J Obes Relat Metab Disord 22: 728–733 [DOI] [PubMed] [Google Scholar]
  5. Fantuzzi G, Faggioni R (2000) Leptin in the regulation of immunity, inflammation, and hematopoiesis. J Leukoc Biol 68: 437–446 [PubMed] [Google Scholar]
  6. Fearon KC, Barber MD, Falconer JS, McMillan DC, Ross JA, Preston T (1999) Pancreatic cancer as a model: inflammatory mediators, acute-phase response, and cancer cachexia. World J Surg 23: 584–588 [DOI] [PubMed] [Google Scholar]
  7. Fearon KC, Falconer JS, Slater C, McMillan DC, Ross JA, Preston T (1998) Albumin synthesis rates are not decreased in hypoalbuminemic cachectic cancer patients with an ongoing acute-phase protein response. Ann Surg 227: 249–254 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Fearon KCH, McMillan DC, Preston T, Winstanley FP, Cruickshank AM, Shenkin A (1991) Elevated circulating interleukin-6 is associated with an acute-phase response but reduced fixed hepatic protein synthesis in patients with cancer. Ann Surg 213: 26–31 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Hannan WJ, Cowen SJ, Plester CE, Fearon KC, deBeau A (1995) Comparison of bio-impedance spectroscopy and multi-frequency bio-impedance analysis for the assessment of extracellular and total body water in surgical patients. Clin Sci (Colch) 89: 651–658 [DOI] [PubMed] [Google Scholar]
  10. Havel PJ (2002) Control of energy homeostasis and insulin action by adipocyte hormones: leptin, acylation stimulating protein and adiponectin. Curr Opin Lipidol 13: 51–59 [DOI] [PubMed] [Google Scholar]
  11. Inui A (1999) Cancer anorexia–cachexia syndrome: are neuropeptides the key? Cancer Res 59: 4493–4501 [PubMed] [Google Scholar]
  12. Kotler DP (2000) Cachexia. Ann Intern Med 133: 622–634 [DOI] [PubMed] [Google Scholar]
  13. Makino T, Noguchi Y, Yoshikawa T, Doi C, Nomura K (1998) Circulating interleukin 6 concentrations and insulin resistance in patients with cancer. Br J Surg 85: 1658–1662 [DOI] [PubMed] [Google Scholar]
  14. Pelleymounter MA, Cullen MJ, Baker MB, Hecht R, Winters D, Boone T, Collins F (1995) Effects of the obese gene product on body weight regulation in ob/ob mice. Science 269: 540–543 [DOI] [PubMed] [Google Scholar]
  15. Scott HR, McMillan DC, Crilly A, McArdle CS, Milroy R (1996) The relationship between weight loss and interleukin 6 in non-small-cell lung cancer. Br J Cancer 73: 1560–1562 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Selberg O, McMillan DC, Preston T, Carse H, Shenkin A, Burns HJG (1990) Palmitate turnover and its response to glucose infusion in weight-losing cancer patients. Clin Nutrit 9: 150–156 [DOI] [PubMed] [Google Scholar]
  17. Simons JP, Schols AM, Campfield LA, Wouters EF, Saris WH (1997) Plasma concentration of total leptin and human lung-cancer-associated cachexia. Clin Sci (Colch) 93: 273–277 [DOI] [PubMed] [Google Scholar]
  18. Stouthard JM, Romijn JA, Van der Poll T, Endert E, Klein S, Bakker PJ, Veenhof CH, Sauerwein HP (1995) Endocrinologic and metabolic effects of interleukin-6 in humans. Am J Physiol 268: E813–E819 [DOI] [PubMed] [Google Scholar]
  19. Wallace AM, Sattar N, McMillan DC (1998) Effect of weight loss and the inflammatory response on leptin concentrations in gastrointestinal cancer patients. Clin Cancer Res 4: 2977–2979 [PubMed] [Google Scholar]
  20. Wallace AM, Sattar N, McMillan DC (2000) The co-ordinated cytokine/hormone response to acute injury incorporates leptin. Cytokine 12: 1042–1045 [DOI] [PubMed] [Google Scholar]
  21. Wallenius K, Wallenius V, Sunter D, Dickson SL, Jansson JO (2002) Intracerebroventricular interleukin-6 treatment decreases body fat in rats. Biochem Biophys Res Commun 293: 560–565 [DOI] [PubMed] [Google Scholar]
  22. Wigmore SJ, Fearon KC, Sangster K, Maingay JP, Garden OJ, Ross JA (2002) Cytokine regulation of constitutive production of interleukin-8 and -6 by human pancreatic cancer cell lines and serum cytokine concentrations in patients with pancreatic cancer. Int J Oncol 21(4): 881–886 [DOI] [PubMed] [Google Scholar]

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