Affiliations of authors: Channing Laboratory, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School (EKW, EG, CSF, WCW), Departments of Epidemiology (EKW, EG, WCW) and Nutrition (EG, WCW), Harvard School of Public Health, Boston, MA; Department of Medical Oncology, Dana-Farber Cancer Institute (CSF), Boston, MA; Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center (CSM), Boston, MA
Correspondence to: Esther K. Wei, ScD, Channing Laboratory, 181 Longwood Ave., 3rd Floor, Boston, MA 02115 (e-mail: esther.wei{at}channing.harvard.edu).
![]() |
ABSTRACT |
---|
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
---|
![]() |
INTRODUCTION |
---|
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
---|
Adiponectin (Acrp30, AdipoQ, apM1, or GBP28), a protein hormone that is secreted exclusively by adipocytes, has potent insulin-sensitizing effects (1113). Circulating levels of adiponectin are low in conditions characterized by insulin-resistant states, such as obesity and type 2 diabetes, and are lower in men than in women (14). Adiponectin concentrations are inversely associated with body fat, and hypoadiponectinemia is associated with insulin resistance and hyperinsulinemia (15). Conversely, adiponectin levels increase with weight loss, and adiponectin administration improves insulin sensitivity (15,16). In addition to its effects on insulin and glucose metabolism, adiponectin has anti-inflammatory properties (17).
The finding that adiponectin is an endogenous insulin sensitizer raises the possibility that circulating levels of adiponectin, which are largely determined by body fatness, partially explain the observed associations between colorectal cancer and obesity and/or insulin resistancerelated factors. Therefore, we evaluated the association between plasma adiponectin and risk of colorectal cancer among men in the prospective cohort of the Health Professionals Follow-up Study.
![]() |
SUBJECTS AND METHODS |
---|
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
---|
The Health Professionals Follow-up Study is an ongoing prospective cohort study that includes 51 529 U.S. male health professionals, aged 4075 years at study enrollment in 1986. Participants were mailed a detailed self-administered lifestyle and medical questionnaire and a semiquantitative food frequency questionnaire (FFQ) in 1986 to elicit information regarding their lifestyle, physical activity, anthropometric characteristics, smoking status, medication use, medical history, and diet. Questionnaires were mailed to participants biennially to update information (dietary information was updated every 4 years). Between 1993 and 1995, all participants were asked to provide a blood sample; 18 225 participants returned a blood sample via overnight courier. Among these men, we identified 179 case patients who were diagnosed with colorectal cancer between the date of blood draw and January 31, 2002; 95% of cases were verified using medical records (the remaining 5% were probable cases). Eligible control subjects were men who were alive and free of cancer during the month of the case patient's diagnosis, who had provided a blood sample, and whose sample had enough blood remaining for the adiponectin assay. Each case patient was individually matched to two control subjects on year of birth and on year and month of blood draw. We also had information from each participant on his fasting status at the time of blood collection (hours since last meal before blood draw in categories of 02, 34, 58, >8, or missing, based on the distribution in the population). We excluded one mislabeled blood sample from a control subject and another from a control subject who was identified as a cancer case patient. Therefore, a total of 356 control subjects were included in this analysis. The average time from blood collection to date of diagnosis was 53.0 months (range = 1103 months). The study was approved by the Human Subjects Committee Review at the Harvard School of Public Health, and written informed consent was obtained from all participants.
Exposure Assessment
Participants reported information regarding age, weight, aspirin use, and smoking habits on each of the biennial mailed questionnaires. Family history was asked about on the 1986, 1990, and 1992 questionnaires. In 1986, each participant reported his height and weight on the main questionnaire. In 1987, another optional questionnaire, a tape measure, and specific illustrated instructions on how to measure waist and hip circumference were sent to all participants, of whom approximately 65% returned the questionnaire. In a previous study, this self-reported measurement method was validated among a sample of 123 men in the cohort by comparing the self-reported measurements and trained technician measurements (18). The correlations between the two measures (weight, r = .97; waist circumference, r = .95; hip circumference, r = .88; waist-to-hip ratio, r = .69) suggest that particularly among men, the self-measured data are reasonably accurate (18). Although we had direct measurement data for approximately 80% of the study population, we used the reported body mass index (BMI) and age to derive a predicted waist circumference and waist-to-hip ratio for men who were missing data for these measurements (missing waist circumference: n = 101; missing waist-to-hip ratio: n = 103) to increase our statistical power to evaluate the association of adiponectin after adjusting for waist circumference and waist-to-hip ratio. Among the 434 men with self-reported waist measurements, the Spearman correlation between the reported waist circumference and their predicted waist circumference using the method described above was 0.75. Among the 432 men with self-reported waist-to-hip ratio, the correlation was 0.39.
Physical activity was estimated using information provided on the biennial questionnaires in response to questions about time spent per week on several listed activities. The time spent on each activity was multiplied by the average metabolic equivalents (MET) for that activity, and the resulting values were summed to obtain a total MET-hour score for each man. The validity and reliability of these methods have been evaluated in a subset of this cohort and shown to be adequate (19).
Information on diet was provided by participants on self-administered semiquantitative FFQs collected before blood collection (1986, 1990, and 1994). To calculate specific nutrient intakes, we multiplied the reported frequency of consumption of each specified food item by the nutrient content of the specified portion size; these products were then summed for all food items. Specific nutrient contributions from supplemental sources were derived based on information provided on use of multivitamins and other supplements (including details on which brand and type was used), using an extensive database of supplement formulations. These nutrient contributions were then added to the specific nutrient intake from foods to calculate a total daily intake for each man. This method of dietary assessment has been directly validated in this cohort of men (20) and in a similar cohort of women using the same instrument (21).
Laboratory Procedures
Blood samples were placed on ice, stored in Styrofoam containers, and shipped by overnight courier. More than 95% of the samples arrived within 24 hours of collection. Blood samples were processed immediately upon receipt and placed in the vapor phase of liquid nitrogen freezers (130 °C or below). Plasma adiponectin concentrations were measured in a single run at the Beth Israel Deaconess Medical Center (Boston, MA) using a commercially available radioimmunoassay kit from Linco Research (St. Charles, MO) that has a sensitivity of 2 ng/mL, as previously described (17). Blood samples for the cancer case patients and control subjects were handled together, shipped together, and assayed in the same analytical run. To assess laboratory precision, each batch included masked replicate plasma samples that were labeled identically to the regular sample. All laboratory personnel were blinded with respect to case patient or control subject status. The mean intra-assay coefficient of variation was 9.97%. The stability of adiponectin under the transport conditions we used (i.e., in blood kept on ice and shipped overnight) has been reported by others to be good (22), and the BMI-adjusted intraclass correlation coefficient over a 1-year period was high [r = .84, 95% CI = 0.65 to 0.94 (22)], suggesting that plasma adiponectin levels assayed from a single blood sample are reasonably accurate over a long period.
Statistical Analyses
We compared case patients and control subjects with respect to various factors and analyzed how the distribution of these factors varied across quintiles of plasma adiponectin. Continuous variables are presented as means and standard deviations; categorical variables are presented as percentages. Statistical significance of the comparisons was calculated using generalized linear models controlling for age. Adiponectin levels were categorized into quintiles based on the distribution in the control subjects and were age standardized using direct standardization to the age distribution among case patients and control subjects. We used the extreme Studentized deviate Many-Outlier procedure (23) to assess for outliers in each set of laboratory results. From results of this procedure, no values were excluded.
Relative risks and 95% confidence intervals for the association between plasma adiponectin and colorectal cancer and colon cancer separately were calculated using conditional logistic regression, adjusting for fasting status. To test for linear trend across the quintiles, we modeled the median of each quintile as a continuous variable. We evaluated the potential confounding effect of BMI, physical activity, waist circumference, waist-to-hip ratio, and total dietary intake of folate, calcium, vitamin D, vitamin E, and alcohol (all modeled as continuous variables). To estimate average long-term dietary intake and to reduce measurement error from a one-time measure, we used the average of the intake reported on the three FFQs between 1986 and 1994. Other potential confounders we included were having a family history of colorectal cancer (yes or no); reporting multivitamin use in 1994 (yes or no); reporting endoscopic colorectal cancer screening anytime before 1994 (yes or no); current smoking status in 1994; and using aspirin, which we modeled as use in 1986, 1988, 1990, 1992, and 1994 (yes or no). Fasting status was included as a covariate in all statistical models. Missing values for current smoking were accounted for by including a missing indicator variable in the statistical models.
To evaluate whether observed associations varied by BMI and physical activity, we stratified the analysis by the median BMI and activity level among the control subjects (BMI = 25.0 kg/m2 and 24.4 MET-hours/week). Because participants were not matched on BMI and stratification by BMI would have required breaking the matching structure, for this analysis we used unconditional logistic regression that included the matching factors (year of birth, month and year of blood draw) in the multivariable models. To test for multiplicative interaction between BMI and adiponectin, we multiplied the medians of the quintiles of adiponectin by BMI as a continuous variable and included this term in the multivariable logistic regression model. We also used conditional logistic regression to evaluate whether the association between adiponectin and colorectal cancer varied by age at blood collection (using as a cutpoint the median age in this population, i.e., <66.5 years or 66.5 years). All statistical tests were two-sided; P<.05 was considered statistically significant.
![]() |
RESULTS |
---|
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
---|
|
|
|
The association between plasma adiponectin and colorectal cancer did not vary by BMI (Pinteraction = .24). Among men with BMI less than 25 kg/m2 (75 case patients and 171 control subjects), after adjusting for BMI, family history of colorectal cancer, and physical activity, their relative risk was 0.40 (95% CI = 0.15 to 1.05, Ptrend = .06), and among those with a BMI greater than or equal to 25 kg/m2 (104 case patients and 185 control subjects), the relative risk was 0.65, (95% CI = 0.28 to 1.53, Ptrend = .28). To further evaluate the nature of the relationship between BMI and adiponectin, we included BMI with and without plasma adiponectin levels in the model. The results were slightly attenuated when adiponectin was added to the model, but overall BMI was associated with colorectal cancer risk in both models (BMI modeled as continuous variable with adiponectin, RR = 1.06 per kg/m2, 95% CI = 0.98 to 1.14; without adiponectin, RR = 1.07 per kg/m2, 95% CI = 1.00 to 1.15). Similar results were obtained for waist circumference and waist-to-hip ratio (data not shown).
We also evaluated whether the association between plasma adiponectin level and colorectal cancer risk varied by age at blood collection. The association appeared to be slightly stronger among younger men; however, the interaction was not statistically significant (for men <66.5 years, 73 case patients, multivariable RR = 0.25, 95% CI = 0.06 to 1.06, and for men 66.5 years, 106 case patients, RR = 0.70, 95% CI = 0.30 to 1.65; Pinteraction = .15).
Finally, we evaluated whether the association between adiponectin level and colorectal cancer risk varied by levels of physical activity. We found some evidence of an inverse association between colorectal cancer risk and adiponectin level among those who reported less than 24.4 MET-hours/week of physical activity (adjusting for BMI, physical activity, and family history, n = 89 case patients; RR = 0.41, 95% CI = 0.16 to 1.02, Ptrend = .06). The association between adiponectin and colorectal cancer was weaker among those who reported 24.4 or more MET hours/week of leisure time physical activity (n = 90 case patients; RR = 0.59, 95% CI = 0.25 to 1.37, Ptrend = .38), but the interaction was not statistically significant.
![]() |
DISCUSSION |
---|
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
---|
Because BMI and other measures of adiposity are partial determinants of adiponectin levels, the multivariable models must be interpreted cautiously. However, the risk estimates varied only slightly between the simple univariate matched model and the multivariable models, suggesting a minimal effect of the additional covariates. Our results did not suggest a linear doseresponse relationship. However, the range of adiponectin levels in the lowest quintile was much wider than for the other quintiles, and we cannot rule out a linear relationship at the lower end of the range.
Several studies have recently reported statistically significant associations between obesity and insulin resistance, hyperinsulinemia, and risk of colorectal cancer (8,10). One mechanism by which hyperinsulinemia may increase the risk of colorectal cancer is by reducing circulating levels of IGFBP-1, which may later lead to higher levels of unbound IGF-I. High levels of circulating IGF-I, which increase cellular proliferation and inhibit apoptosis (25,26), have been associated with increased risk of several common cancers, including CRC (9,27,28). We also recently reported that high levels of insulin (as reflected by increased C-peptide) or high levels of bioavailable IGF-I (assessed by the ratio of IGF-I to IGFBP-3) independently predicted increased risk for colorectal cancer; high levels of both were not associated with more risk (10).
Adiponectin may also be associated with other obesity and insulin resistancerelated cancers. Previously, two casecontrol studies reported that risks of two cancers that are associated with body size and adiposity, breast cancer and endometrial cancer, are inversely associated with high plasma adiponectin levels (2931). Importantly, these associations were independent of measures of adiposity. Moreover, these associations were independent of waist circumference, a measure of central adiposity that has been even more closely related with insulin resistance than BMI, particularly in men (3). Plasma adiponectin levels were also lower in patients with gastric cancer than in control subjects (32). However, none of these previous casecontrol studies could differentiate between the possibility that adiponectin is involved in the progression of cancer, or, alternatively, that advanced-stage disease leads to lower adiponectin levels (32). The latter possibility can be effectively excluded given the prospective nature and results of stratified analysis of our study, which support an important role of adiponectin in the obesity- and insulin-related pathways of carcinogenesis. Some evidence suggests that the two forms of adiponectin, low molecular weight and high molecular weight, have different physiologic effects, particularly with respect to insulin sensitivity (33,34). Assessment of high-molecular-weight adiponectin may prove to be more closely associated with cancer risk; this supposition requires further investigation as methods appropriate for epidemiologic research develop.
Studies of adiponectin knockout mice have shown that such mice exhibit moderate to severe diet-induced insulin resistance (35,36). Adiponectin may affect insulin sensitivity through its ability to activate 5'-adenosine monophosphate kinase, which inhibits the synthesis of IGF-1, increases IGFBP-1 production in the liver, and reduces circulating insulin levels (37). In humans, plasma adiponectin levels are positively correlated with insulin sensitivity after adjusting for sex and measures of adiposity (r = .42, P<.001 for men) (11). Furthermore, low adiponectin levels result in increased insulin resistance, even among nonobese individuals (38), and have thus been implicated in the development of type 2 diabetes (15) and cardiovascular disease (39).
Adiponectin may contribute to carcinogenesis by promoting apoptosis. Adiponectin levels have been associated with the activation of apoptotic enzymes in the caspase cascade, which leads to cell death (40), modulation of the expression of several apoptosis-related genes in myelomonocytic cells (41), and reduction of tumor neovascularization (40).
Our study has both strengths and limitations. The strengths of this study include blood collected prospectively with respect to disease outcome; that we had detailed information on potential confounders, including validated anthropometric measures; and that multiple questionnaires were administered before blood draw to better estimate long-term average dietary intake and average body size. One limitation of this analysis was the availability of only a one-time blood measurement. However, any random error in the assays would tend to lead to underestimates of the true association. Our laboratory assays had relatively low intra-assay variation, and a previous study showed that the stability and reliability of a one-time measure (as in this study) to be high (22). Furthermore, the correlation between adiponectin levels and time between blood collection and diagnosis was low (r = .06), suggesting that adiponectin levels did not vary with duration of blood storage. After excluding case patients who were diagnosed in the first 2 years of after blood collection, the associations remained statistically significant, suggesting that our results were not affected by underlying disease.
Despite these limitations, this is the first prospective study, to our knowledge, on adiponectin in relation to colorectal malignancy and supports the hypothesis that low adiponectin levels are not simply a consequence of cancer. In conclusion, in this prospective nested casecontrol study, plasma adiponectin levels were inversely associated with risk for colorectal cancer in men. Individuals in the lowest quintile had about a twofold increased risk for colorectal cancer compared with all other quintiles. This association was independent of BMI, waist circumference, waist-to-hip ratio, and physical activity. More studies to confirm and expand on these findings, particularly among women, should be undertaken, and mechanistic studies to fully elucidate the mechanisms underlying adiponectin's effects are warranted.
![]() |
NOTES |
---|
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
---|
We thank Rachael Pasquale and Lydia Liu for their expert assistance. We also thank the participants of the Health Professionals Follow-up Study for their longstanding commitment.
![]() |
REFERENCES |
---|
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
---|
(1) Giovannucci E. Insulin, insulin-like growth factors and colon cancer: a review of the evidence. J Nutr 2001;131(11 Suppl):3109S20S.
(2) Hu FB, Manson JE, Liu S, Hunter D, Colditz GA, Michels KB, et al. Prospective study of adult onset diabetes mellitus (type 2) and risk of colorectal cancer in women. J Natl Cancer Inst 1999;91:5427.
(3) Giovannucci E, Ascherio A, Rimm EB, Colditz GA, Stampfer MJ, Willett WC. Physical activity, obesity, and risk for colon cancer and adenoma in men. Ann Intern Med 1995;122:32734.
(4) Caan BJ, Coates AO, Slattery ML, Potter JD, Quesenberry CP Jr, Edwards SM. Body size and the risk of colon cancer in a large case-control study. Int J Obes Relat Metab Disord 1998;22:17884.[CrossRef][Medline]
(5) Carey VJ, Walters EE, Colditz GA, Solomon CG, Willett WC, Rosner BA, et al. Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women. The Nurses' Health Study. Am J Epidemiol 1997;145:6149.[Abstract]
(6) Martinez ME, Giovannucci E, Spiegelman D, Hunter DJ, Willett WC, Colditz GA. Leisure-time physical activity, body size, and colon cancer in women. Nurses' Health Study Research Group. J Natl Cancer Inst 1997;89:94855.
(7) Sandhu MS, Dunger DB, Giovannucci EL. Insulin, insulin-like growth factor-I (IGF-I), IGF binding proteins, their biologic interactions, and colorectal cancer. J Natl Cancer Inst 2002;94:97280.
(8) Ma J, Giovannucci E, Pollak M, Leavitt A, Tao Y, Gaziano JM, et al. A prospective study of plasma C-peptide and colorectal cancer risk in men. J Natl Cancer Inst 2004;96:54653.
(9) Giovannucci E, Pollak MN, Platz EA, Willett WC, Stampfer MJ, Majeed N, et al. A prospective study of plasma insulin-like growth factor-1 and binding protein-3 and risk of colorectal neoplasia in women. Cancer Epidemiol Biomarkers Prev 2000;9:3459.
(10) Wei EK, Ma J, Pollak MN, Rifai N, Fuchs CS, Hankinson SE, et al. A prospective study of C-peptide, insulin-like growth factor-I, insulin-like growth factor binding protein-1, and the risk of colorectal cancer in women. Cancer Epidemiol Biomarkers Prev 2005;14:8505.
(11) Tschritter O, Fritsche A, Thamer C, Haap M, Shirkavand F, Rahe S, et al. Plasma adiponectin concentrations predict insulin sensitivity of both glucose and lipid metabolism. Diabetes 2003;52:23943.
(12) Diez JJ, Iglesias P. The role of the novel adipocyte-derived hormone adiponectin in human disease. Eur J Endocrinol 2003;148:293300.
(13) Scherer PE, Williams S, Fogliano M, Baldini G, Lodish HF. A novel serum protein similar to C1q, produced exclusively in adipocytes. J Biol Chem 1995;270:267469.
(14) Cnop M, Havel PJ, Utzschneider KM, Carr DB, Sinha MK, Boyko EJ, et al. Relationship of adiponectin to body fat distribution, insulin sensitivity and plasma lipoproteins: evidence for independent roles of age and sex. Diabetologia 2003;46:45969.[ISI][Medline]
(15) Trujillo ME, Scherer PE. Adiponectinjourney from an adipocyte secretory protein to biomarker of the metabolic syndrome. J Intern Med 2005;257:16775.[CrossRef][ISI][Medline]
(16) Arita Y, Kihara S, Ouchi N, Takahashi M, Maeda K, Miyagawa J, et al. Paradoxical decrease of an adipose-specific protein, adiponectin, in obesity. Biochem Biophys Res Commun 1999;257:7983.[CrossRef][ISI][Medline]
(17) Shetty GK, Economides PA, Horton ES, Mantzoros CS, Veves A. Circulating adiponectin and resistin levels in relation to metabolic factors, inflammatory markers, and vascular reactivity in diabetic patients and subjects at risk for diabetes. Diabetes Care 2004;27:24507.
(18) Rimm EB, Stampfer MJ, Colditz GA, Chute CG, Litin LB, Willett WC. Validity of self-reported waist and hip circumferences in men and women. Epidemiology 1990;1:46673.[Medline]
(19) Chasan-Taber L, Erickson JB, Nasca PC, Chasan-Taber S, Freedson PS. Validity and reproducibility of a physical activity questionnaire in women. Med Sci Sports Exerc 2002;34:98792.[CrossRef][ISI][Medline]
(20) Rimm EB, Giovannucci EL, Stampfer MJ, Colditz GA, Litin LB, Willett WC. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am J Epidemiol 1992;135:111426; discussion 112736.[Abstract]
(21) Willett WC, Sampson L, Stampfer MJ, Rosner B, Bain C, Witschi J, et al. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol 1985;122:5165.[Abstract]
(22) Pischon T, Hotamisligil GS, Rimm EB. Adiponectin: stability in plasma over 36 hours and within-person variation over 1 year. Clin Chem 2003;49:6502.
(23) Rosner B. Percentage points for generalized ESD many-outlier procedure. Technometrics 1983;25:16572.[ISI]
(24) Skibber JM, Minsky BD, Hoff PM. Cancer of the Colon. In: DeVita VT, Hellman S, Rosenberg SA, editors. Cancer: principles & practice of oncology. 6th ed. Philadelphia (PA): Lippincott, Williams and Wilkins; 2001. p. 12301.
(25) Pollak MN, Schernhammer ES, Hankinson SE. Insulin-like growth factors and neoplasia. Nat Rev Cancer 2004;4:50518.[CrossRef][ISI][Medline]
(26) Moschos SJ, Mantzoros CS. The role of the IGF system in cancer: from basic to clinical studies and clinical applications. Oncology 2002;63:31732.[CrossRef][ISI][Medline]
(27) Ma J, Pollak M, Giovannucci E, Chan JM, Tao Y, Hennekens C, et al. A prospective study of plasma levels of insulin-like growth factor I (IGF-I) and IGF-binding protein-3, and colorectal cancer risk among men. Growth Horm IGF Res 2000;10 Suppl A:S289.[CrossRef][ISI][Medline]
(28) Manousos O, Souglakos J, Bosetti C, Tzonou A, Chatzidakis V, Trichopoulos D, et al. IGF-I and IGF-II in relation to colorectal cancer. Int J Cancer 1999;83:157.[CrossRef][ISI][Medline]
(29) Petridou E, Mantzoros C, Dessypris N, Koukoulomatis P, Addy C, Voulgaris Z, et al. Plasma adiponectin concentrations in relation to endometrial cancer: a case-control study in Greece. J Clin Endocrinol Metab 2003;88:9937.
(30) Dal Maso L, Augustin LS, Karalis A, Talamini R, Franceschi S, Trichopoulos D, et al. Circulating adiponectin and endometrial cancer risk. J Clin Endocrinol Metab 2004;89:11603.
(31) Mantzoros C, Petridou E, Dessypris N, Chavelas C, Dalamaga M, Alexe DM, et al. Adiponectin and breast cancer risk. J Clin Endocrinol Metab 2004;89:11027.
(32) Ishikawa M, Kitayama J, Kazama S, Hiramatsu T, Hatano K, Nagawa H. Plasma adiponectin and gastric cancer. Clin Cancer Res 2005;11(2 Pt 1): 46672.
(33) Pajvani UB, Du X, Combs TP, Berg AH, Rajala MW, Schulthess T, et al. Structure-function studies of the adipocyte-secreted hormone Acrp30/adiponectin. Implications for metabolic regulation and bioactivity. J Biol Chem 2003;278:907385.
(34) Pajvani UB, Hawkins M, Combs TP, Rajala MW, Doebber T, Berger JP, et al. Complex distribution, not absolute amount of adiponectin, correlates with thiazolidinedione-mediated improvement in insulin sensitivity. J Biol Chem 2004;279:1215262.
(35) Maeda N, Shimomura I, Kishida K, Nishizawa H, Matsuda M, Nagaretani H, et al. Diet-induced insulin resistance in mice lacking adiponectin/ACRP30. Nat Med 2002;8:7317.[CrossRef][ISI][Medline]
(36) Kubota N, Terauchi Y, Yamauchi T, Kubota T, Moroi M, Matsui J, et al. Disruption of adiponectin causes insulin resistance and neointimal formation. J Biol Chem 2002;277:258636.
(37) Luo Z, Saha AK, Xiang X, Ruderman NB. AMPK, the metabolic syndrome and cancer. Trends Pharmacol Sci 2005;26:6976.[CrossRef][ISI][Medline]
(38) Thamer C, Haap M, Bachmann O, Zur Nieden T, Tschritter O, Stefan N, et al. Serum adiponectin levels predict the effect of short-term dietary interventions on insulin sensitivity in humans. Diabetologia 2004;47:13035.[ISI][Medline]
(39) Pischon T, Girman CJ, Hotamisligil GS, Rifai N, Hu FB, Rimm EB. Plasma adiponectin levels and risk of myocardial infarction in men. JAMA 2004;291:17307.
(40) Brakenhielm E, Veitonmaki N, Cao R, Kihara S, Matsuzawa Y, Zhivotovsky B, et al. Adiponectin-induced antiangiogenesis and antitumor activity involve caspase-mediated endothelial cell apoptosis. Proc Natl Acad Sci U S A 2004;101:247681.
(41) Yokota T, Oritani K, Takahashi I, Ishikawa J, Matsuyama A, Ouchi N, et al. Adiponectin, a new member of the family of soluble defense collagens, negatively regulates the growth of myelomonocytic progenitors and the functions of macrophages. Blood 2000;96:172332.
Manuscript received May 20, 2005; revised September 7, 2005; accepted October 4, 2005.
![]() |
||||
|
Oxford University Press Privacy Policy and Legal Statement |