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Weight loss intervention is the principal nonpharmacological method for prevention and treatment of type 2 diabetes. However, little is known whether it influences insulin sensitivity directly or via its anti-inflammatory effect. The aim of this study was to assess the independent role of changes in inflammation status and weight loss on insulin sensitivity in this population. Overweight and obese nondiabetic participants without co-morbidities underwent a one-year weight loss intervention focused on caloric restriction and behavioral support. Markers of inflammation, body composition, anthropometric para meters, and insulin sensitivity were recorded at baseline, 6, and 12 months. Insulin sensitivity was assessed with frequently sampled intravenous glucose tolerance test and Minimal Model. Twenty-eight participants (F: 15, M: 13, age 39 ± 5 years, BMI 33.2 ± 4.6 kg/m2 ) completed the study, achieving 9.4 ± 6.9 % weight loss, which was predominantly fat mass (7.7 ± 5.6 kg, p < 0.0001). Dietary intervention resulted in significant decrease in leptin, leptin-to-adiponectin ratio, hs-CRP, and IL-6 (all p < 0.02), and improvement in HOMA-IR and Insulin Sensitivity Index (SI) (both p < 0.001). In response to weight loss IL-1α, IL-2, leptin, and resistin were significantly associated with insulin, sensitivity, whereas sICAM-1 had only marginal additive effect. Moderate weight loss in otherwise healthy overweight and obese individuals resulted in an improvement in insulin sensitivity and in the overall inflammation state; the latter played only a minimal independent role in modulating insulin sensitivity. [ABSTRACT FROM AUTHOR]

Context: Obesity is associated with hypoferremia, but it is unclear if this condition is caused by insufficient iron stores or diminished iron availability related to inflammation-induced iron sequestration.Objective: To examine the relationships between obesity, serum iron, measures of iron intake, iron stores and inflammation. We hypothesized that both inflammation-induced sequestration of iron and true iron deficiency were involved in the hypoferremia of obesity.Design: Cross-sectional analysis of factors anticipated to affect serum iron.Setting: Outpatient clinic visits.Patients: Convenience sample of 234 obese and 172 non-obese adults.Main Outcome Measures: Relationships between serum iron, adiposity, and serum transferrin receptor, C-reactive protein, ferritin, and iron intake analyzed by analysis of covariance and multiple linear regression.Results: Serum iron was lower (75.8+/-35.2 vs 86.5+/-34.2 g/dl, P=0.002), whereas transferrin receptor (22.6+/-7.1 vs 21.0+/-7.2 nmol/l, P=0.026), C-reactive protein (0.75+/-0.67 vs 0.34+/-0.67 mg/dl, P<0.0001) and ferritin (81.1+/-88.8 vs 57.6+/-88.7 microg/l, P=0.009) were higher in obese than non-obese subjects. Obese subjects had a higher prevalence of iron deficiency defined by serum iron (24.3%, confidence intervals (CI) 19.3-30.2 vs 15.7%, CI 11.0-21.9%, P=0.03) and transferrin receptor (26.9%, CI 21.6-33.0 vs 15.7%, CI 11.0-21.9%, P=0.0078) but not by ferritin (9.8%, CI 6.6-14.4 vs 9.3%, CI 5.7-14.7%, P=0.99). Transferrin receptor, ferritin and C-reactive protein contributed independently as predictors of serum iron.Conclusions: The hypoferremia of obesity appears to be explained both by true iron deficiency and by inflammatory-mediated functional iron deficiency. [ABSTRACT FROM AUTHOR]

Objective: To determine whether insulin resistance and secretion differ in obese premenopausal African-American women with and without glucose intolerance.Research Design and Methods: A total of 63 women underwent oral glucose tolerance tests (OGTTs). A total of 48 women underwent frequently sampled intravenous glucose tolerance tests (FSIGTs). Insulin resistance was determined from the insulin sensitivity index (S(I)) from the FSIGT. Insulin secretion during the OGTT was determined by (I(30 min) - I(0 min))/(G(30 min) - G(0 min)) and during the FSIGT by the acute insulin response to glucose (AIRg). The disposition index, the product of AIRg and S(I), was used to determine whether AIRg was adequate to compensate for insulin resistance. Statistical analyses included one-way analysis of variance with Bonferroni corrections for multiple comparisons and regression analyses.Results: The women were divided into three groups: nonobese glucose tolerant (n = 32), obese glucose tolerant (n = 17), and obese glucose intolerant (n = 14). The BMI of the three groups were 24.8 +/- 2.3, 37.8 +/- 5.5, and 42.0 +/- 7.6 kg/m(2) (mean +/- SD), respectively (P < 0.0001). The ages of the three groups were 34.9 +/- 8.4, 32.1 +/- 5.0, and 41.1 +/- 6.3 years (P = 0.011). S(I) was higher in the nonobese women than in the obese glucose-tolerant women (3.99 +/- 1.44 vs. 2.66 +/- 2.14 l x mU(-1) x min(-1), P = 0.03). S(I) was similar in the obese glucose-intolerant and obese glucose-tolerant women (2.12 +/- 1.27 vs. 2.66 +/- 2.14 l x mU(-1) x min(-1), P = 0.9). OGTT showed that insulin secretion was lower in the glucose-intolerant than the obese glucose-tolerant women (1.73 +/- 1.38 vs. 3.62 +/- 2.11, P = 0.005). FSIGT showed that AIRg was not significantly lower in glucose-intolerant than in obese glucose-tolerant women (807 +/- 665 vs. 1,253 +/- 655 mU x l(-1) x min, P = 0.078). The disposition index was lower in glucose-intolerant than in obese glucose-tolerant women (1,324 +/- 1,061 vs. 2,656 +/- 1,415, P = 0.014).Conclusions: Obese premenopausal African-American women with and without glucose intolerance have a similar degree of insulin resistance but differ in insulin secretion. [ABSTRACT FROM AUTHOR]

Background: Troglitazone promotes adipocyte differentiation in vitro and increases insulin sensitivity in vivo. Therefore, troglitazone may have therapeutic benefit in lipoatrophic diabetes.Objective: To determine whether troglitazone ameliorates hyperglycemia and hypertriglyceridemia or increases fat mass in lipoatrophic patients.Design: Open-labeled prospective study.Setting: United States and Canada.Patients: 20 patients with various syndromes associated with lipoatrophy or lipodystrophy.Intervention: 6 months of therapy with troglitazone, 200 to 600 mg/d.Measurements: Levels of hemoglobin A1c triglycerides, free fatty acids, and insulin; respiratory quotient; percentage of body fat; liver volume; and regional fat mass.Results: In the 13 patients with diabetes who completed 6 months of troglitazone therapy, hemoglobin A1c levels decreased by a mean of 2.8% (95% CI, 1.9% to 3.7%; P < 0.001). In all 19 study patients, fasting triglyceride levels decreased by 2.6 mmol/L (230 mg/dL) (CI, 0.7 to 4.5 mmol/L [62 to 398 mg/dL]; P = 0.019) and free fatty acid levels decreased by 325 micromol/L (CI, 135 to 515 micromol/L; P = 0.035). The respiratory quotient decreased by a mean of 0.12 (CI, 0.08 to 0.16; P < 0.001), suggesting that troglitazone promoted oxidation of fat. Body fat increased by a mean of 2.4 percentage points (CI, 1.3 to 4.5 percentage points; P = 0.044). Magnetic resonance imaging showed an increase in subcutaneous adipose tissue but not in visceral fat. In one patient, the serum alanine aminotransferase level increased eightfold during the 10th months of troglitazone treatment but normalized 3 months after discontinuation of treatment Liver biopsy revealed an eosinophilic infiltrate, suggesting hypersensitivity reaction as a cause of hepatotoxicity.Conclusion: Troglitazone therapy improved metabolic control and increased body fat in patients with lipoatrophic diabetes. The substantial benefits of troglitazone must be balanced against the risk for hepatotoxicity, which can occur relatively late in the treatment course. [ABSTRACT FROM AUTHOR]

The interdisciplinary team approach in assessment and treatment of patients with chronic disease in general and lupus nephritis in particular provides a global format for identifying the multiple problem areas that retard or prevent optimal patient functioning. These areas include the physical, emotional, economic, psychosocial, and functional. Benefits to the individual patient include a thorough multifaceted assessment by professionals who have the benefit of peer collaboration and validation. This increases the likelihood that the whole patient is considered, not just the problem of nephritis. For example, how does the patient and her or his family cope with the impact of such a disease and how, in turn, do the coping abilities of the patient and family affect the disease. The interdisciplinary team also assesses how the treatment strategies for each problem area influence each other. Finally, the interdisciplinary team serves as a positive role model for effective collaboration among health professionals and for students in their respective disciplines. [ABSTRACT FROM AUTHOR]

Abstract Background Physical activity is being studied as a breast cancer prevention strategy. Women at risk of breast cancer report interest in lifestyle modification, but recruitment to randomized physical activity intervention studies is challenging. Methods We conducted an analysis of recruitment techniques used for a prospective, randomized pilot study of physical activity in women at risk of breast cancer. We evaluated differences in proportion of eligible patients, enrolled patients, and successful patients identified by each individual recruitment method. The Fisher-Freeman-Halton test (an extension of Fisher's exact test from 2 × 2 tables to general row by column tables) was used to compare the success of different recruitment strategies. Results We received 352 inquiries from women interested in participating, of whom 171 (54%) were eligible. Ninety-nine women completed a baseline activity evaluation, and 58 (34% of eligible; 16% of total inquiries) were randomized. Recruitment methods fell into three broad categories: media techniques, direct contact with potential participants, and contacts with health care providers. Recruitment strategies differed significantly in their ability to identify eligible women (p = 0.01), and women who subsequently enrolled in the study (p = 0.02). Conclusion Recruitment techniques had varying success. Our data illustrate the challenges in recruiting to behavior modification studies, and provide useful information for tailoring future recruitment efforts for lifestyle intervention trials. Trial Registration No(s) CDR0000393790, NCI-04-C-0276, NCI-NAVY-B05-001

Determines whether treating lipoatrophy with troglitazone lowers blood sugar and triglyceride levels and increases the amount of body fat. Association of lipoatrophy with abnormally small amounts of body fat; Measurements of the patients' levels of triglycerides, body fat and hemoglobin A; Improvement of blood sugar levels, triglyceride levels and body fat content with troglitazone; Potential side effect.

Background: It is commonly asserted that the average American gains 5 lb (2.3 kg) or more over the holiday period between Thanksgiving and New Year's Day, yet few data support this statement.Methods: To estimate actual holiday-related weight variation, we measured body weight in a convenience sample of 195 adults. The subjects were weighed four times at intervals of six to eight weeks, so that weight change was determined for three periods: preholiday (from late September or early October to mid-November), holiday (from mid-November to early or mid-January), and postholiday (from early or mid-January to late February or early March). A final measurement of body weight was obtained in 165 subjects the following September or October. Data on other vital signs and self-reported health measures were obtained from the patients in order to mask the main outcome of interest.Results: The mean (+/-SD) weight increased significantly during the holiday period (gain, 0.37+/-1.52 kg; P<0.001), but not during the preholiday period (gain, 0.18+/-1.49 kg; P=0.09) or the postholiday period (loss, 0.07+/-1.14 kg; P=0.36). As compared with their weight in late September or early October, the study subjects had an average net weight gain of 0.48+/-2.22 kg in late February or March (P=0.003). Between February or March and the next September or early October, there was no significant additional change in weight (gain, 0.21 kg+/-2.3 kg; P=0.13) for the 165 participants who returned for follow-up.Conclusions: The average holiday weight gain is less than commonly asserted. Since this gain is not reversed during the spring or summer months, the net 0.48-kg weight gain in the fall and winter probably contributes to the increase in body weight that frequently occurs during adulthood. [ABSTRACT FROM AUTHOR]