Guest guest Posted July 21, 2005 Report Share Posted July 21, 2005 Hi All, The below paper appears to distinguish between the effects of weight loss and CR on cardiovascular risk. This may be summarized well in the concluding paragraph of the text: " In summary, this study suggests a discordant effect of moderate body weight loss on reducing cardiovascular risk in obese patients, at least during energy restriction. Inflammatory markers such as CRP (20) and IL-6 (18) appear to be most sensitive for energy restriction, whereas the anti-inflammatory adiponectin and IL-10 are not affected by a moderate weight decrease and might require prolonged periods of energy-restricted diets to revert to normal. " For definition, there is: andromorphous: Having a male form or habitus. Synonym: android. gynobase: A dilated base or receptacle, supporting a multilocular ovary. morpho: Meaning form, shape, structure. The pdf is available for the below. Manigrasso MR, Ferroni P, Santilli F, Taraborelli T, Guagnano MT, Michetti N, Davi G. Association Between Circulating Adiponectin and Interleukin-10 Levels in Android Obesity. Effects of Weight Loss. J Clin Endocrinol Metab. 2005 Jul 19; [Epub ahead of print] PMID: 16030165 http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve & db=pubmed & dopt=Abstra\ ct & list_uids=16030165 & query_hl=13 .... RESULTS Baseline HOMA, BMI, WHR, and related measurements for the three groups of subjects are summarized in Table 1. Only one of the obese women (in the android group) had a BMI of 28.1, which is lower than 30, i.e. the commonly recommended cutoff for definition of obesity (12). The exclusion of this subject from the analysis did not significantly affect the results. Baseline median [iQR] levels of circulating adiponectin were significantly lower in 64 android vs. 20 gynoid obese and vs. 20 non-obese women (5.2 [3.3–7.8] vs. 12.1 [9.7–13.9] and vs. 15.0 [12.6– 18.2] µg/mL, Kruskal-Wallis Test: H=40.2, p<0.0001) (Figure 1A). In addition, we observed significantly lower IL-10 levels in android vs. either gynoid or non-obese healthy women (1.8 [1.2–3.3] vs. 3.5 [2.9–4.3] and vs. 4.1 [3.5–4.8] pg/mL, H=35.1, p<0.0001), whereas IL-10 levels of gynoid obese did not significantly differ from those observed in non-obese women (Figure 1B). Table 1: Clinical characteristics of study participants ......................................... ----Non-obese n=20 Gynoid vs., non-obese p* Gynoid obese n=20 Gynoid vs., android p Android obese n=64 Android vs., non-obese p ........................................ Age, years 46±11 NS 49±11 NS 49±14 NS Body weight, Kg 69±6 <0.0001 86±10 NS 90±13 <0.0001 BMI 25.2±2.2 <0.0001 33.4±2.6 <0.01 37.1±5.3 <0.0001 Waist circumference, cm 94±5 NS 97±8 <0.0001 112±10 <0.0001 WHR 0.81±0.04 NS 0.81±0.03 <0.0001 0.96±0.06 <0.0001 Fasting insulin, µ U/ml 11.8±6.0 NS 13.2±5.5 <0.05 22.1±14.8 <0.01 HOMA 2.7±1.6 NS 3.0±1.4 <0.05 5.1±3.5 <0.01 ........................................... BMI: body mass index; WHR: waist-to-hip ratio; HOMA: homeostasis model assessment. *Bonferroni test for android vs., non-obese women No correlation was observed between either adiponectin or Il-10 baseline levels or the anthropometric measures in the non-obese group. Baseline IL-10 levels were significantly related to adiponectin concentrations (Rho=0.594, P<0.0001) among android, but not gynoid obese women. No correlation was found between either adiponectin or IL-10 levels and HOMA index. Univariate regression analysis of IL-10 predictor variables (age, WHR, BMI, HOMA index and adiponectin levels) in all 84 obese women showed that WHR (Beta [sE]: -0.20 [0.09], p=0.02), HOMA index (Beta [sE]: 0.16 [0.08], p=0.05) and adiponectin levels (Beta [sE]: 0.67 [0.09], p< 0.0001) were all independently related to IL-10. Multivariate analysis performed by backward stepping demonstrated that adiponectin (Beta [sE]: 0.72 [0.08], p< 0.0001) was the only variable independently associated to IL-10. Similar results were observed in the subgroup of women with android, but not gynoid obesity (data not shown). The effects of a short-term weight loss program on circulating adiponectin and IL-10 levels were investigated in 15 android obese women. A median 8% decrease of BMI was observed in all 15 women, but a significant reduction of weight (from 113 [15] to 95 [10] kg, mean 8± 4 kg, p< 0.01) was achieved in 12 participants. Adiponectin and IL-10 were analyzed before and after weight loss in all 15 patients according to an intent-to-treat basis, irrespectively of a successful reduction of body weight. HOMA index significantly decreased by 17% (p< 0.02), whereas no significant changes either in adiponectin (median percent change 1%, ranging from –19 to 40%, p=0.23) or IL-10 levels (median percent change 7.3, ranging from –17 to 32%, p=0.99) were observed. Multivariate regression analysis of IL-10 predictor variables (age and percent changes of weight, HOMA index and adiponectin levels) showed that adiponectin percent changes (Beta [sE]: 0.65 [0.24], p=0.017), but not HOMA index (Beta [sE]: 0.48 [0.24], p=0.071) were independently related to IL-10 percent changes. DISCUSSION A transcriptional mechanism leading to decreased adiponectin plasma levels in obese women has been previously demonstrated and low levels of adiponectin have been associated with high levels of CRP and IL-6 (13). To our knowledge, this is the first study demonstrating that android, but not gynoid obesity is associated with a down-regulation of circulating IL-10, and that low adiponectin concentrations are independently related to decreased IL-10 levels in women with android obesity, independently of insulin resistance. Based on these results, we hypothesize that adiponectin might modulate the anti-inflammatory response through IL-10 expression, as recently suggested in in vitro models of human monocyte-derived macrophages (5, 14). The finding of decreased IL-10 levels in android obese women looks controversial to previously published data that showed higher IL-10 levels in obese women compared to normal weight individuals (15). However, we must consider that one of the exclusion criteria of our study was the presence of metabolic syndrome, and our obese subjects were otherwise healthy, whereas in the cited study both obese and non-obese groups included women with metabolic syndrome or one or more cardiovascular risk factors (15). Furthermore, Esposito et al. performed no comparative analysis between android and gynoid obesity (15). In the present study, we found no difference in IL-10 levels between gynoid obese and non-obese women, whereas low IL-10 levels were significantly associated to an increased WHR, suggesting that different fat distribution might be responsible for decreased levels of this cytokine. Thus, differences in the populations recruited and design of the studies may explain an apparent discrepancy between the two studies. IL-10 exerts multifaceted anti-inflammatory properties, and its reduction may favor the progression of atheromatous lesions toward a vulnerable phenotype (16). Adiponectin may also have anti-atherogenic and anti-inflammatory properties, and high circulating levels of both proteins have been related to a lower risk of coronary heart disease (16). Since these factors may be regulated by adipocytes and/or adipose tissue, it seems reasonable to expect that weight loss programs might have favorable effects. However, our data do not support this and are in agreement with recent reports indicating that moderate weight loss (17) did not result in a change in plasma adiponectin concentrations. In contrast, Esposito et al. reported that a long-term program of body weight reduction was capable of increasing adiponectin concentrations (18). However, it should be noticed that in the latter study a weight reduction by 10% or more maintained for 2 years was required for inclusion, whereas in others (17) and our study a reduction of approximately 8 Kg was achieved over a 12-week period. Moreover, in the study by Esposito et al. (18) adiponectin concentrations were significantly increased in obese individuals who had lost a mean of 14 kg, but not in subjects who had lost a mean of 3 kg. These considerations suggest that changes in plasma adiponectin may not become apparent until substantial amounts of weight have been lost. Our results also indicated that substantial improvements in insulin sensitivity (assessed by HOMA index) after moderate weight loss were not associated with an increase in plasma adiponectin concentration in android obese women. Because there is ample evidence that insulin resistance is attenuated with this degree of weight loss (19), our findings imply that changes in circulating adiponectin may not mediate weight loss-induced improvements in insulin sensitivity. These data differ from those when much greater amounts of weight are lost (18) but are consistent with the findings by Abbasi et al., who showed that moderate weight loss in obese women was not associated with an increase in plasma adiponectin concentration either in insulin-sensitive or insulin-resistant individuals (17). Plasma IL-10 levels did not show any significant change after moderate weight loss, which is in agreement with the finding that a lifestyle change program was unable to substantially modify IL-10 levels in obese women with metabolic syndrome (15). The significant association observed between the percent changes of IL-10 and adiponectin after diet could be biased by the minimal variation observed and the limited number of subjects, and do not allow any conclusion at this time. However, the independent association of adiponectin and IL-10 levels at multivariate analysis is suggestive for their close relationship. In summary, this study suggests a discordant effect of moderate body weight loss on reducing cardiovascular risk in obese patients, at least during energy restriction. Inflammatory markers such as CRP (20) and IL-6 (18) appear to be most sensitive for energy restriction, whereas the anti-inflammatory adiponectin and IL-10 are not affected by a moderate weight decrease and might require prolonged periods of energy-restricted diets to revert to normal. Al Pater, PhD; email: old542000@... ____________________________________________________ Start your day with - make it your home page http://www./r/hs Quote Link to comment Share on other sites More sharing options...
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