The aim of this study was to evaluate if Metabolic® Ultra, a nutraceutical containing Chitosan and α-Lipoic acid (Nutraceutical), can decrease anthropometric measures and ameliorate metabolic values, inflammatory status, and cytokine parameters in patients with obesity. We enrolled 60 Caucasian obese (BMI ≥ 30 kg/m2) nondiabetic patients, aged ≥ 18 of either sex. Patients were randomized to take placebo or Nutraceutical for 6 months, in a randomized, double-blind, placebo-controlled design. Nutraceutical and placebo were self-administered twice a day, 3 tablets fifteen minutes before lunch and dinner. A significant decrease of weight, BMI, and Abd. Cir. were observed after 6 months of Nutraceutical treatment (p< 0.05 vs Baseline) compared to placebo. No Waist Cir. and Hip Cir. variations were observed in both groups. No variation of FPG, FPI, and Homa index were recorded in both groups compared to Baseline. A significant TC, LDL-C, and Tg decrease was recorded at 6 months in the Nutraceutical group compared to the placebo group (p< 0.05 vs Baseline, respectively), and a significant TC, and LDL-C decrease was found at 6 months compared to placebo group (p< 0.05, respectively). No significant HDL-C variation was observed in the Nutraceutical group, although there was an increasing trend. High-sensitivity C-reactive protein was significantly reduced at 6 months in the Nutraceutical group (p< 0.05 vs Baseline, and p< 0.05 vs placebo), while the ADN was raised to 6 months in the Nutraceutical group (p< 0.05 vs Baseline, and p< 0.05 vs placebo). No significant change was seen for IL-6 and TNF-α at the end of the study in both treatments. All the patients who finished the study and underwent OGTT at Baseline and after 6 months were euglycemic at the end of the second hour in both groups. We can conclude that a nutraceutical containing Chitosan and α-Lipoic acid can be helpful in reducing weight and BMI, in improving lipid profile, and in reducing inflammatory parameters, without affecting the glycemic status of obese patients.
Obesity is an increasingly widespread problem, due to poor nutrition and reduced physical activity, and is associated with alterations affecting both fat cells and endothelial cells 1.
The adipocytes, in fact, in addition to having a storage function, are able to produce various factors and cytokines that play a role in paracrine regulation by influencing the remodeling of adipose tissue, regulating insulin resistance and inflammation indices 2.
Obesity causes insulin resistance through several mechanisms that include an altered insulin signal and an interference with glucose transport within the muscle and adipose tissue, resulting in an increased hepatic glucose production 3.
Our group already conducted several studies on obese and diabetic patients to evaluate whether weight loss improves insulin resistance and inflammatory indices; in particular, we used drugs such as sibutramine 4, 5, 6, 7, 8 and orlistat 9, 10, 11, 12, both as monotherapy or combined with L-carnitine, a cofactor implicated in the β-oxidation of fatty acids.
These studies have shown the effectiveness of these drugs in reducing body weight and improving inflammatory and insulin resistance parameters in diabetic and obese subjects. However, in recent years, several concerns have emerged regarding the safety profile of these drugs, which led, after the results publication of the SCOUT study (Sibutramine Cardiovascular Outcomes Trial) 13, to the withdrawal of sibutramine in August 2010, and to the publication of an FDA note concerning rare, but severe cases of liver injury in patients receiving orlistat 14, which showed the need to find alternative solutions to promote weight loss in the obese and diabetic patients.
Of course, the first advice must be the diet, with the right contribution in terms of quality and quantity, when diet is not enough, the nutraceutical approach can be an alternative to traditional drug therapy.
Nutraceuticals as dietary support often disappoint in results; several products have been marketed in the latest years, without being supported by scientific data. Among nutraceuticals, chitosan can play a role in obese patients. Chitosans are a family of deacetylated chitins. Although not naturally present in human tissue, chitosan is nontoxic, nonimmunogenic, biodegradable and biocompatible 15.
Chitosan acts by binding cholesterol, fatty acids, and bile acids in the stomach and intestine, followed by increased fecal excretion of fatty acids and cholesterol metabolites. Chitosans may exert a weight loss effect 16.
The primary objective of this study will be to evaluate weight loss compared to placebo, after 6 months of treatment with Metabolic® Ultra (Nutraceutical) in obese patients. The secondary objectives, instead, will be to evaluate the variations of some metabolic and inflammatory parameters and of some adipocytokines.
This 6-months, double-blind, randomized, placebo-controlled, clinical trial was conducted at the Department of Internal Medicine and Therapeutics, University of Pavia (Pavia, Italy), among patients attending the Center for Prevention, Surveillance, Diagnosis and Treatment of Rare Diseases.
The study protocol was approved by the local institutional ethical committee and was conducted in accordance with the 1994 Declaration of Helsinki, and its amendments and the Code of Good Clinical Practice. All patients provided written informed consent to participate in this study after a full explanation of the study was given.
Material and methods
Suitable patients, identified from review of case notes and/or computerized clinic registers, were contacted by the investigators in person or by telephone.
Patients were excluded, if they have impaired renal function (defined as serum creatinine level higher than the ULN for age and sex); endocrine disorders or gastrointestinal disorders; current or previous evidence of ischemic heart disease, heart failure, or stroke; weight change of > during the preceding 3 months; malignancy; and significant neurological or psychiatric disturbances, including alcohol or drug abuse. Excluded medications (within the previous 3 months) were anorectic agents, laxatives, β-agonists (other than inhalers), diuretics, cyproheptadine, anti-depressants, anti-serotoninergics, phenothiazines, barbiturates, oral corticosteroids, and anti-psychotics. Women who were pregnant or breastfeeding or of childbearing potential and not taking adequate contraceptive precautions were also excluded.
2.2. TreatmentPatients were randomized to take placebo or Nutraceutical for 6 months, in a randomized, double-blind, placebo-controlled design. Nutraceutical (Table 1a) and placebo (Table 1b) were self-administered twice a day, 3 tablets fifteen minutes before lunch and dinner. Both Nutraceutical and placebo were supplied as identical, opaque, tablets in coded bottles to ensure the blind status of the study. Randomisation was done using a drawing of envelopes containing randomisation codes prepared by a statistician. Medication compliance was assessed by counting the number of tablets returned at the time of specified clinic visits. Throughout the study, we instructed patients to take their first dose of new medication on the day after they were given the study medication. At the same time, all unused medication was retrieved for inventory. All medications were provided free of charge.
At Baseline, all patients were already following an adequate diet. The controlled-energy diet (~600 kcal daily deficit) was based on NCEP-ATP III recommendations 17, that contained 50% of calories from carbohydrates, 30% from fat (< 7% saturated, up to 10% polyunsaturated, and up to 20% monounsaturated), and 20% from proteins, with a maximum cholesterol content of 300 mg/d, and 35 g/d of fiber. Standard diet advice was given by a dietitian and/or specialist physician. Individuals were also encouraged to maintain their usual physical activity.
2.4. AssessmentsBefore starting the study, all patients underwent an initial screening assessment that include a medical history, physical examination, vital signs (blood pressure and heart rate), a 12-lead electrocardiogram, measurements of height and body weight, calculation of BMI, abdominal circumference (Abd. Cir.), waist circumference (Waist Cir.), and hip circumference (Hip Cir.), fasting plasma glucose (FPG), fasting plasma insulin (FPI), homeostatic model assessment of insulin resistance (Homa index), total cholesterol (TC), high density lipoprotein-cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), triglycerides (Tg), adiponectin (ADN), interleukin-6 (IL-6), high-sensitivity C-reactive protein (Hs-CRP), and tumor necrosis factor-α (TNF-α). All parameters were assessed at baseline and after 3, and 6 months since the study start. Moreover, at baseline, and after 6 months, patients underwent an oral glucose tolerance test (OGTT).
All parameters were determined in fasting state, after a 12-h overnight fast, in the plasma. Venous blood samples were taken for all patients between 8 and 9 a.m. and were drawn from an antecubital vein with a 19-gauge needle without venous stasis.
We used plasma obtained by addition of Na2-EDTA, 1 mg/ml, and centrifuged at for 15 minutes at 4°C. Immediately after centrifugation, the plasma samples were frozen and stored at for no more than 3 months. All measurements were performed in a central laboratory.
BMI was calculated by the investigators as weight in kilograms divided by the square of height in meters.
Plasma glucose was assayed using a glucose-oxidase method (GOD/PAP, Roche Diagnostics, Mannheim, Germany) with intra- and interassay coefficients of variation (CsV) <2% 18.
Plasma insulin was assayed with Phadiaseph insulin radio immuno assay (RIA) (Pharmacia, Uppsala, Sweden) by using a second antibody to separate the free and antibody-bound 125 I-insulin (intra- and interassay CsV 4.6 and 7.3%, respectively) 19.
The Homa index was calculated as the product of basal glucose (mmol/l) and insulin levels (μU/ml) divided by 22.5 20.
Total cholesterol and Tg levels were determined using fully enzymatic techniques 21, 22 on a clinical chemistry analyzer (HITACHI 737; Hitachi, Tokyo, Japan); intra- and interassay CsV were 1.0 and 2.1 for TC measurement, and 0.9 and 2.4 for Tg measurement, respectively. High density lipoprotein-cholesterol level was measured after precipitation of plasma apo B-containing lipoproteins with phosphotungstic acid 23 intra- and interassay CsV were 1.0 and 1.9, respectively; LDL-C level was calculated by the Friedewald formula 24.
Adiponectin level was determined using ELISA kits (B-bridge International, Sunnyvale, CA). Intraassay CsV were 3.6% for low- and 3.3% for high-control samples, whereas interassay CsV were 3.2% for low- and 7.3% for high-control samples, respectively 25.
Interleukin-6 was determined using commercially available Enzyme-Linked Immuno Sorbent Assay (ELISA) kits according to manufacturer instructions (R & D Systems, Minneapolis, MN, USA). The intra- and interassay CsV were 4.9% and 7.1% respectively 26.
TNF-α level was assessed using commercially available ELISA kits according to manufacturer’s instructions (Titer-Zyme EIA kit; Assay Designs, Ann Arbor, MI). Intraassay CsV were 4.5% for low- and 3.6% for high-concentration samples whereas the interassay CsV were 6.0% for low and 11.8% for high-concentration samples, respectively 27.
High sensitivity C-reactive protein was measured with use of latex-enhanced immunonephelometric assays on a BN II analyser (Dade Behring, Newark, Delaware, USA). The intra- and interassay CsV were 5.7% and 1.3%, respectively 28.
All patients drank a glass of water (200 ml), in which 75g of glucose had been dissolved over a period of 5 min in the morning, between 8 and .m. after a 12-h fast, and after dietary assessment to ensure a carbohydrate intake > 150 g/ day over the previous 3 days 29. Normal physical activity was allowed over the previous 3 days. No smoking was allowed during the test. Blood samples were collected in EDTA-containing tubes (Becton Dickinson, Meylan Cedex, France) through a venous catheter from an antecubital vein immediately before and at 120 min after the glucose load for the measurement of the considered parameters of the study.
Treatment tolerability was assessed at each study visit using an accurate interview of patients by the investigators, and comparisons of clinical and laboratory values with baseline levels. Safety monitoring included physical examination, vital sign assessment, weight, adverse events, and laboratory tests.
An intention-to-treat (ITT) analysis was conducted in patients who had received ≥1 dose of study medication were included in the tolerability analysis if they had received ≥1 dose of trial medication after randomization and had undergone a subsequent tolerability observation. Continuous variables were tested using a two-way repeated measures analysis of variance (ANOVA). Intervention effects were adjusted for additional potential confounders using analysis of covariance. Analysis of variance was also used to assess the significance within and between groups. The null hypothesis that the expected mean weight change from the end of the study did not differ significantly between placebo, and Nutraceutical was tested using a two-way repeated measures analysis of variance (ANOVA) model. Similar analyses were applied to the other variables. The statistical significance of the independent effects of treatments on the other variables was determined using ANCOVA. A 1-sample t test was used to compare values obtained before and after treatment administration; 2-sample t tests were used for between-group comparisons. Statistical analysis of data was performed using the Statistical Package for Social Sciences software version 25.0 (SPSS Inc., Chicago, Illinois, USA). Data were presented as mean (SD). For all statistical analyses, p < 0.05 were considered statistically significant 30.
A total of 60 patients were enrolled in the study. Of these, 30 were randomized to Nutraceutical supplementation and 30 to placebo. Fifty-nine patients completed the study: there is 1 patient who did not complete the study at 3 months in the placebo group and the reason for premature withdrawal was the lost to follow-up.
Anthropometric parameters
A significant decrease of weight was observed after 6 months of Nutraceutical treatment (p< 0.05 vs Baseline) compared to placebo. The same trend was obtained for BMI and Abd. Cir. at 6 months in the Nutraceutical group compared to the placebo group (p< 0.05 vs Baseline, respectively). No Waist Cir. and Hip Cir. variations were observed in both groups for the whole treatment time (Table 2 and Table 3).
No variation of FPG and FPI was recorded in both groups compared to Baseline. Regarding insulin resistance, there was not a significant change of Homa index in both groups (Table 2 and Table 3).
A significant TC, and LDL-C decrease was recorded at 6 months in the Nutraceutical group compared to the placebo group (p< 0.05 vs Baseline, respectively), and a significant TC, and LDL-C decrease was found at 6 months compared to placebo group (p< 0.05, respectively). No significant HDL-C variation was observed in the Nutraceutical group, although there was an increasing trend. Triglycerides decreased at 6 months in the Nutraceutical group compared to the placebo group after 6 months of treatment (Table 2 and Table 3).
High-sensitivity C-reactive protein was significantly reduced at 6 months in the Nutraceutical group (p< 0.05 vs Baseline, and p< 0.05 vs placebo), while the ADN was raised to 6 months in the Nutraceutical group (p< 0.05 vs Baseline, and p< 0.05 vs placebo). No significant change was seen for IL-6 and TNF-α at the end of the study in both treatments (Table 2 and Table 3).
All 30 patients who underwent OGTT at Baseline were euglycemic at the end of the second hour in the Nutraceutical group and in the placebo group. At the end of the study, 30 patients in the Nutraceutical group and 29 patients in the placebo group underwent OGTT: all patients were euglycemic at the end of the second hour (Table 4a and Table 4b).
No adverse events were recorded in all the phases of the study.
Our study demonstrated that Chitosan and α-Lipoic acid decreased some anthropometric parameters as body Weight, BMI, and Abd. Cir., lipid profile (TC, LDL-C, and Tg), and improved inflammatory state in terms of Hs-CRP reduction and ADN increase. After 6 months of therapy, we observed a significant body weight reduction of 3.4 Kg (-3.8 %) in Nutraceutical group compared to placebo group (-0.8 Kg; -0.9 %), a significant BMI reduction of 1.2 Kg/m2 (-3.8 %) in Nutraceutical group compared to placebo group (-0.3 Kg/m2; -1.0 %), and a significant Abd. Cir. reduction of 2 cm (-1.9 %) in Nutraceutical group compared to placebo group (-0.5 cm; -0.5 %). These data are quite in line with those of Hernandez-Gonzalez SO 31, Trivedi VR 32, and Lütjohann D 33. Although both authors have studied Chitosan without adding α-Lipoic acid and for only 3 months, the anthropometrical data has changed in a similar way to ours. In fact, they observed a reduction in the body Weight of 6.0 Kg (-6.6 %), 3.1 Kg (-3.9 %), and 3.5 Kg (-3.7 %), and in BMI of 2.7 Kg/m2 (-7.9 %), 0.69 Kg/m2 (-2.2 %), and 0.95 Kg/m2 (-3.0 %), respectively.
Both authors used different dosages of Chitosan (2250-2500 mg/day in different posology) and this may have also influenced the differences between the 3 studies and our study. The observation period was also different. Our study is similar over time to that of Ni Mhurchu C 34. He took 250 patients with a BMI higher than our study and gave 3000 mg of Chitosan (our same dosage). He noted that the group treated with Chitosan lost only 0.39 Kg (-0.4 %) compared to placebo group, even if this result was significant (p= 0.03), while the result concerning BMI (-0.17 Kg/m2, -0.5 %) was modest and nonsignificant (p= 0.07). The Waist Cir. (-0.57 cm, -0.6 %) was also considered in this study, which was not significantly reduced (p= 0.13) and in line with the result obtained in our study. The glucose-lowering effect is still under study. It goes from the hypothesis of the Chitosan ability to prevent the loss of beta-cells and to stimulate beta-cells proliferation in pancreatic islets 35 to that of the inhibition of carbohydrate-hydrolyzing enzymes, resulting in decreased glucose absorption in the small intestine 36. Our glyco-metabolic assessment focused on FPG, FPI, and Homa index. All the aforementioned parameters were not significantly altered (-5.3 mg/dl, -6.2 %; -0.8 mU/ml, -4.5 %; -0.4, -10.5 %) with a downward trend, respectively. Even the OGTT performed after 6 months showed no changes compared to the Baseline. In the previously mentioned studies, the Authors also considered FPG. In the Hernandez-Gonzalez SO study 31, FPG was not significantly decreased (+4 mg/dl, +4.3 %), but insulin sensitivity was significantly increased and performed by euglycemic-hyperinsulinemic clamp technique. Fasting plasma glucose significantly decreased (-2.5 mg/dl, -2.6 %; p< 0.01) in Chitosan group compared to placebo group while in the Ni Mhurchu C study 34.
Chitosan is effective not only in reducing weight, but also in reducing lipid profile via mechanisms involving the promotion of fecal fat excretion and the reduction of caloric intake 37. Our study has demonstrated a TC, LDL-C, and Tg reduction of 12.3 mg/dl (-6.2 %), 11 mg/dl (-8.2 %), and 12.9 mg/dl (-12.7 %) versus Baseline, respectively, and a significant difference of TC (-4.2 mg/dl, -2.2 %) and LDL-C (-4.9 mg/dl, -3.8 %) versus placebo treatment, respectively. Our lipid profile data obtained with Chitosan at 6 months are not as comparable with the previously cited studies, as they differ in terms of period and daily dosage. In fact, the data of Hernandez-Gonzalez SO 31 report a nonsignificant TC and LDL-C modification of +4 mg/dl (+2.5 %), and of -7 mg/dl (-6.7 %), respectively, but a significant Tg reduction of -70 mg/dl (-33.0 %) (p= 0.028). Trivedi VR 32 also found that TC and LDL-C were not significantly increased at the end of the study (+10 mg/dl, +5.7 %, and +3.0 mg/dl, +2.8 %, respectively), while Tg had decreased (-6.4 mg/dl, -4.4 %), but not significantly. Lütjohann D 33 instead noted that the TC and LDL-C were significantly reduced (-12.5 mg/dl, -6.0 %, and -8.7 mg/dl, -6.7 %, respectively). He did not evaluate Tg levels.
The 6-month study of Ni Mhurchu C 34 has data similar to ours as regards the significant reduction (p <0.01) of TC (-5.0 mg/dl, -2.3 %) and LDL-C (-4.6 mg/dl, -3.3 %), while the reduction of the Tg was not significant.
A final aspect on the lipid profile is given by the HDL-C value. This data is also contrasting in that Hernandez-Gonzalez SO 31, and Trivedi VR 32 have seen a slight, but not significant increase in HDL-C (+4 mg/dl, +11,4 %, and +1.7 mg/dl, +4.1 %, respectively), quite in line with our data (+1.3 mg/dl, +3.0 %), while Lütjohann D 33 has noted a nonsignificant decrease (-1.2 mg/dl, -2.1 %). Finally, Ni Mhurchu C 34 did not see a significant change in HDL-C. Currently, this discrepancy does not seem to have an explanation.
Chitosan has been demonstrated to inhibit the inflammatory responses in macrophages, including the expression and release of proinflammatory mediators as TNF-α and IL-6 38. There are few studies in vivo and in the obese patients have shown an action of Chitosan on inflammatory parameters and cytokines. The inflammatory parameters and the cytokines we have analyzed have improved already at 3 months, although not significantly. At 6 months we noticed a significant reduction of Hs-CRP (-0.4 mg/l, -28.6 % vs Baseline, and -0.3 mg/l, -23.1 % vs placebo) and a significant increase in ADN (+0.9 μg/ml, +14.5 % vs Baseline, and +0.6 μg/ml, +8.5 % vs placebo). Although a decreasing trend in IL-6 and TNF-α was noted, they were not significant at 6 months. Kim HM 39 evaluated the action of Chitosan at 5100 mg/day in elderly patients on the levels of some cytokines and since TNF-α was reduced after 2 months of this treatment (-22.8 pg/ml, -28.6 %) also if not significantly compared to Baseline.
A nutraceutical containing Chitosan and α-Lipoic acid can be helpful in reducing weight and BMI, in improving lipid profile, and in reducing inflammatory parameters, without affecting the glycemic status of obese patients. Although the study was 6 months long, a period we consider sufficient to evaluate the modification of anthropometric parameters, this period may have been insufficient to verify a significant drop in FPG or a significant increase in the value of HDL-C or a further significant improvement of the other inflammatory parameters evaluated. A final consideration, no less important, was that of adverse events: this Nutraceutical was also found to be safe and well tolerated by all study participants.
[1] | Crandall DL, Hausman GJ, Kral JG. A review of the microcirculation of adipose tissue: anatomic, metabolic, and angiogenic perspectives. Microcirculation 1997; 4: 211-232. | ||
In article | View Article PubMed | ||
[2] | Ailhaud G, Grimaldi P, Ne’grel R. Cellular and molecular aspects of adipose tissue development. Annu Rev Nutr 1992; 12: 207-233. | ||
In article | View Article PubMed | ||
[3] | Kahn BB, Flier JS. Obesity and insulin resistance. J Clin Invest 2000; 106: 473-481. | ||
In article | View Article PubMed | ||
[4] | Derosa G, D'Angelo A, Salvadeo SA, Ferrari I, Gravina A, Fogari E, Maffioli P, Cicero AF. Sibutramine effect on metabolic control of obese patients with type 2 diabetes mellitus treated with pioglitazone. Metabolism 2008; 57(11): 1552-1557. | ||
In article | View Article PubMed | ||
[5] | Derosa G, Maffioli P, Salvadeo SA, Ferrari I, Gravina A, Mereu R, D'Angelo A, Palumbo I, Randazzo S, Cicero AF. Sibutramine and L-carnitine compared to sibutramine alone on insulin resistance in diabetic patients. Intern Med 2010; 49 (16): 1717-1725. | ||
In article | View Article PubMed | ||
[6] | Derosa G, Maffioli P, Ferrari I, Palumbo I, Randazzo S, D'Angelo A, Cicero AF. Effects of one year treatment of sibutramine on insulin resistance parameters in type 2 diabetic patients. J Pharm Pharm Sci 2010; 13(3): 378-390. | ||
In article | View Article PubMed | ||
[7] | Derosa G, Maffioli P, Salvadeo SA, Ferrari I, Gravina A, Mereu R, D'Angelo A, Palumbo I, Randazzo S, Cicero AF. Effects of combination of sibutramine and L-carnitine compared with sibutramine monotherapy on inflammatory parameters in diabetic patients. Metabolism 2011; 60: 421-429. | ||
In article | View Article PubMed | ||
[8] | Derosa G, Maffioli P, Ferrari I, Palumbo I, Randazzo S, D'Angelo A, Cicero AF. Variation of inflammatory parameters after sibutramine treatment compared to placebo in type 2 diabetic patients. J Clin Pharm Ther 2011; 36(5): 592-601. | ||
In article | View Article PubMed | ||
[9] | Derosa G, Maffioli P, Ferrari I, D'Angelo A, Fogari E, Palumbo I, Randazzo S, Cicero AF. Orlistat and L-carnitine compared to orlistat alone on insulin resistance in obese diabetic patients. Endocr J 2010; 57(9): 777-786. | ||
In article | View Article PubMed | ||
[10] | Derosa G, Maffioli P, Salvadeo SA, Ferrari I, Gravina A, Mereu R, D'Angelo A, Fogari E, Palumbo I, Randazzo S, Cicero AF. Comparison of orlistat treatment and placebo in obese type 2 diabetic patients. Expert Opin Pharmacother 2010; 11(12): 1971-1982. | ||
In article | View Article PubMed | ||
[11] | Derosa G, Cicero AFG, D’Angelo A, Fogari E, Maffioli P. Effects of 1-year orlistat treatment compared to placebo on insulin resistance parameters in patients with type 2 diabetes. J Clin Pharm Ther 2012; 37(2): 187-195. | ||
In article | View Article PubMed | ||
[12] | Derosa G, Maffioli P, Ferrari I, D'Angelo A, Fogari E, Palumbo I, Randazzo S, Cicero AF. Comparison between orlistat plus L-carnitine and orlistat alone on inflammation parameters in obese diabetic patients. Fundam Clin Pharmacol 2011; 25(5): 642-651. | ||
In article | View Article PubMed | ||
[13] | James WPT, Caterson ID, Coutinho W, et al. for the SCOUT Investigators. Effect of sibutramine on cardiovascular outcomes in overweight and obese subjects. N Engl J Med 2010; 363: 905-917. | ||
In article | View Article PubMed | ||
[14] | https://www.fda.gov/Drugs/DrugSafety/PostmarketDrugSafetyInformationforPatientsandProviders/ucm213038.htm. | ||
In article | |||
[15] | Ríos-Hoyo A, Gutiérrez-Salmeán G. New dietary supplements for obesity: what we currently know. Curr Obes Rep 2016; 5: 262–270. | ||
In article | View Article PubMed | ||
[16] | Lütjohann D, Marinova M, Wolter K, et al. Influence of chitosan treatment on surrogate serum markers of cholesterol metabolism in obese subjects. Nutrients 2018; 10: 1-16. | ||
In article | View Article PubMed | ||
[17] | Lichtenstein AH, Appel LJ, Brands M, et al. Summary of American Heart Association Diet and Lifestyle Recommendations Revision 2006. Arterioscler Thromb Vasc Biol 2006; 26: 2186-2191. | ||
In article | View Article PubMed | ||
[18] | European Diabetes Policy Group desktop guide to type 2 diabetes mellitus. Diabet Med 1999; 16: 716-730. | ||
In article | View Article | ||
[19] | Heding LG. Determination of total serum insulin (IRI) in insulin-treated diabetic patients. Diabetologia 1972; 8: 260-266. | ||
In article | View Article PubMed | ||
[20] | Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985; 28: 412-419. | ||
In article | View Article PubMed | ||
[21] | Klose S, Borner K. Enzymatische Bestimmung des Gesamtcholesterins mit dem [Enzymatic dosage of total cholesterolemia by Greiner Selective Analyzer (GSA II)]. J Clin Chem Clin Biochem 1978; 15: 121-130. | ||
In article | View Article | ||
[22] | Wahlefeld AW. Triglycerides determination after enzymatic hydrolysis. In: Methods of Enzymatic Analysis. Ed. H. U. Bergmeyer, 2nd English ed. Academic Press, New York (USA) 1974; pp. 18-31. | ||
In article | View Article | ||
[23] | Havel RJ, Eder HA, Bragdon JH. The distribution and chemical composition of ultracentrifugally separated lipoproteins in human serum. J Clin Invest 1955; 34: 1345-1353. | ||
In article | View Article PubMed | ||
[24] | Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low density lipoprotein in plasma, without use of the preparative ultracentrifuge. Clin Chem 1972; 18: 499-502. | ||
In article | View Article PubMed | ||
[25] | Yamauchi T, Kamon J, Waki H, et al. The fat-derived hormone adiponectin reverses insulin resistance associated with both lipoatrophy and obesity. Nature Med 2001; 7: 941-946. | ||
In article | View Article PubMed | ||
[26] | Song M, Kellum JA. Interleukin-6. Crit. Care Med 2005; 33(12), S463-S465. | ||
In article | View Article PubMed | ||
[27] | Zhang M, Tracey K. The Cytokine Handbook 1988, 3rd ed. San Diego: Academic Press. | ||
In article | |||
[28] | Rifai N, Tracy RP, Ridker PM. Clinical Efficacy of an Automated High-Sensitivity C-Reactive Protein Assay. Clin Chem 1999; 45(12): 2136-2141. | ||
In article | View Article PubMed | ||
[29] | American Diabetes Association 2019. Standards of Medical Care in Diabetes. Diabetes Care 2019; 42(Suppl 1): S184-S186. | ||
In article | View Article PubMed | ||
[30] | Winer BJ. Statistical Principles in Experimental Design. 2nd ed., McGraw-Hill, New York (USA) 1971. | ||
In article | |||
[31] | Hernández-González SO, González-Ortiz M, Martínez-Abundis E, Robles-Cervantes JA. Chitosan improves insulin sensitivity as determined by the euglycemic-hyperinsulinemic clamp technique in obese subjects. Nutr Res 2010; 30 (6): 392-395. | ||
In article | View Article PubMed | ||
[32] | Trivedi VR, Satia MC, Deschamps A, Maquet V, Shah RB, Zinzuwadia PH, Trivedi JV. Single-blind, placebo controlled randomised clinical study of chitosan for body weight reduction. Nutr J 2016; 15: 3. | ||
In article | View Article PubMed | ||
[33] | Lütjohann D, Marinova M, Wolter K, Willinek W, Bitterlich N, Coenen M, Coch C, Stellaard F. Influence of Chitosan Treatment on Surrogate Serum Markers of Cholesterol Metabolism in Obese Subjects. Nutrients 2018;10: 72. | ||
In article | View Article PubMed | ||
[34] | Mhurchu CN, Poppitt SD, McGill AT, Leahy FE, Bennett DA, Lin RB, Ormrod D, Ward L, Strik C, Rodgers A. The effect of the dietary supplement, Chitosan, on body weight: a randomised controlled trial in 250 overweight and obese adults. Int J Obes Relat Metab Disord 2004; 28(9): 1149-1156. | ||
In article | View Article PubMed | ||
[35] | Hayashi K, Ito M. Antidiabetic action of low molecular weight chitosan in genetically obese diabetic KK-Ay mice. Biol Pharm Bull 2002; 25 (2):188-192. | ||
In article | View Article PubMed | ||
[36] | Kim JG, Jo SH, Ha KS, Kim SC, Kim YC, Apostolidis E, Kwon YI. Effect of long-term supplementation of low molecular weight chitosan oligosaccharide (GO2KA1) on fasting blood glucose and HbA1c in db/db mice model and elucidation of mechanism of action. BMC Complement Altern Med 2014; 14: 272. | ||
In article | View Article PubMed | ||
[37] | Walsh AM, Sweeney T, Bahar B, O'Doherty JV. Multi-functional roles of chitosan as a potential protective agent against obesity. PLoS One 2013; 8(1): e53828. | ||
In article | View Article PubMed | ||
[38] | Lee SH, Senevirathne M, Ahn CB, Kim SK, Je JY. Factors affecting anti-inflammatory effect of chitooligosaccharides in lipopolysaccharides-induced RAW264.7 macrophage cells. Bioorg Med Chem Lett 2009; 19(23): 6655-6658. | ||
In article | View Article PubMed | ||
[39] | Kim HM, Hong SH, Yoo SJ, Baek KS, Jeon YJ, Choung SY. Differential effects of chitooligosaccharides on serum cytokine levels in aged subjects. J Med Food 2006; 9(3): 427-430. | ||
In article | View Article PubMed | ||
Published with license by Science and Education Publishing, Copyright © 2023 Giuseppe Derosa, Angela D’Angelo and Pamela Maffioli
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[1] | Crandall DL, Hausman GJ, Kral JG. A review of the microcirculation of adipose tissue: anatomic, metabolic, and angiogenic perspectives. Microcirculation 1997; 4: 211-232. | ||
In article | View Article PubMed | ||
[2] | Ailhaud G, Grimaldi P, Ne’grel R. Cellular and molecular aspects of adipose tissue development. Annu Rev Nutr 1992; 12: 207-233. | ||
In article | View Article PubMed | ||
[3] | Kahn BB, Flier JS. Obesity and insulin resistance. J Clin Invest 2000; 106: 473-481. | ||
In article | View Article PubMed | ||
[4] | Derosa G, D'Angelo A, Salvadeo SA, Ferrari I, Gravina A, Fogari E, Maffioli P, Cicero AF. Sibutramine effect on metabolic control of obese patients with type 2 diabetes mellitus treated with pioglitazone. Metabolism 2008; 57(11): 1552-1557. | ||
In article | View Article PubMed | ||
[5] | Derosa G, Maffioli P, Salvadeo SA, Ferrari I, Gravina A, Mereu R, D'Angelo A, Palumbo I, Randazzo S, Cicero AF. Sibutramine and L-carnitine compared to sibutramine alone on insulin resistance in diabetic patients. Intern Med 2010; 49 (16): 1717-1725. | ||
In article | View Article PubMed | ||
[6] | Derosa G, Maffioli P, Ferrari I, Palumbo I, Randazzo S, D'Angelo A, Cicero AF. Effects of one year treatment of sibutramine on insulin resistance parameters in type 2 diabetic patients. J Pharm Pharm Sci 2010; 13(3): 378-390. | ||
In article | View Article PubMed | ||
[7] | Derosa G, Maffioli P, Salvadeo SA, Ferrari I, Gravina A, Mereu R, D'Angelo A, Palumbo I, Randazzo S, Cicero AF. Effects of combination of sibutramine and L-carnitine compared with sibutramine monotherapy on inflammatory parameters in diabetic patients. Metabolism 2011; 60: 421-429. | ||
In article | View Article PubMed | ||
[8] | Derosa G, Maffioli P, Ferrari I, Palumbo I, Randazzo S, D'Angelo A, Cicero AF. Variation of inflammatory parameters after sibutramine treatment compared to placebo in type 2 diabetic patients. J Clin Pharm Ther 2011; 36(5): 592-601. | ||
In article | View Article PubMed | ||
[9] | Derosa G, Maffioli P, Ferrari I, D'Angelo A, Fogari E, Palumbo I, Randazzo S, Cicero AF. Orlistat and L-carnitine compared to orlistat alone on insulin resistance in obese diabetic patients. Endocr J 2010; 57(9): 777-786. | ||
In article | View Article PubMed | ||
[10] | Derosa G, Maffioli P, Salvadeo SA, Ferrari I, Gravina A, Mereu R, D'Angelo A, Fogari E, Palumbo I, Randazzo S, Cicero AF. Comparison of orlistat treatment and placebo in obese type 2 diabetic patients. Expert Opin Pharmacother 2010; 11(12): 1971-1982. | ||
In article | View Article PubMed | ||
[11] | Derosa G, Cicero AFG, D’Angelo A, Fogari E, Maffioli P. Effects of 1-year orlistat treatment compared to placebo on insulin resistance parameters in patients with type 2 diabetes. J Clin Pharm Ther 2012; 37(2): 187-195. | ||
In article | View Article PubMed | ||
[12] | Derosa G, Maffioli P, Ferrari I, D'Angelo A, Fogari E, Palumbo I, Randazzo S, Cicero AF. Comparison between orlistat plus L-carnitine and orlistat alone on inflammation parameters in obese diabetic patients. Fundam Clin Pharmacol 2011; 25(5): 642-651. | ||
In article | View Article PubMed | ||
[13] | James WPT, Caterson ID, Coutinho W, et al. for the SCOUT Investigators. Effect of sibutramine on cardiovascular outcomes in overweight and obese subjects. N Engl J Med 2010; 363: 905-917. | ||
In article | View Article PubMed | ||
[14] | https://www.fda.gov/Drugs/DrugSafety/PostmarketDrugSafetyInformationforPatientsandProviders/ucm213038.htm. | ||
In article | |||
[15] | Ríos-Hoyo A, Gutiérrez-Salmeán G. New dietary supplements for obesity: what we currently know. Curr Obes Rep 2016; 5: 262–270. | ||
In article | View Article PubMed | ||
[16] | Lütjohann D, Marinova M, Wolter K, et al. Influence of chitosan treatment on surrogate serum markers of cholesterol metabolism in obese subjects. Nutrients 2018; 10: 1-16. | ||
In article | View Article PubMed | ||
[17] | Lichtenstein AH, Appel LJ, Brands M, et al. Summary of American Heart Association Diet and Lifestyle Recommendations Revision 2006. Arterioscler Thromb Vasc Biol 2006; 26: 2186-2191. | ||
In article | View Article PubMed | ||
[18] | European Diabetes Policy Group desktop guide to type 2 diabetes mellitus. Diabet Med 1999; 16: 716-730. | ||
In article | View Article | ||
[19] | Heding LG. Determination of total serum insulin (IRI) in insulin-treated diabetic patients. Diabetologia 1972; 8: 260-266. | ||
In article | View Article PubMed | ||
[20] | Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985; 28: 412-419. | ||
In article | View Article PubMed | ||
[21] | Klose S, Borner K. Enzymatische Bestimmung des Gesamtcholesterins mit dem [Enzymatic dosage of total cholesterolemia by Greiner Selective Analyzer (GSA II)]. J Clin Chem Clin Biochem 1978; 15: 121-130. | ||
In article | View Article | ||
[22] | Wahlefeld AW. Triglycerides determination after enzymatic hydrolysis. In: Methods of Enzymatic Analysis. Ed. H. U. Bergmeyer, 2nd English ed. Academic Press, New York (USA) 1974; pp. 18-31. | ||
In article | View Article | ||
[23] | Havel RJ, Eder HA, Bragdon JH. The distribution and chemical composition of ultracentrifugally separated lipoproteins in human serum. J Clin Invest 1955; 34: 1345-1353. | ||
In article | View Article PubMed | ||
[24] | Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low density lipoprotein in plasma, without use of the preparative ultracentrifuge. Clin Chem 1972; 18: 499-502. | ||
In article | View Article PubMed | ||
[25] | Yamauchi T, Kamon J, Waki H, et al. The fat-derived hormone adiponectin reverses insulin resistance associated with both lipoatrophy and obesity. Nature Med 2001; 7: 941-946. | ||
In article | View Article PubMed | ||
[26] | Song M, Kellum JA. Interleukin-6. Crit. Care Med 2005; 33(12), S463-S465. | ||
In article | View Article PubMed | ||
[27] | Zhang M, Tracey K. The Cytokine Handbook 1988, 3rd ed. San Diego: Academic Press. | ||
In article | |||
[28] | Rifai N, Tracy RP, Ridker PM. Clinical Efficacy of an Automated High-Sensitivity C-Reactive Protein Assay. Clin Chem 1999; 45(12): 2136-2141. | ||
In article | View Article PubMed | ||
[29] | American Diabetes Association 2019. Standards of Medical Care in Diabetes. Diabetes Care 2019; 42(Suppl 1): S184-S186. | ||
In article | View Article PubMed | ||
[30] | Winer BJ. Statistical Principles in Experimental Design. 2nd ed., McGraw-Hill, New York (USA) 1971. | ||
In article | |||
[31] | Hernández-González SO, González-Ortiz M, Martínez-Abundis E, Robles-Cervantes JA. Chitosan improves insulin sensitivity as determined by the euglycemic-hyperinsulinemic clamp technique in obese subjects. Nutr Res 2010; 30 (6): 392-395. | ||
In article | View Article PubMed | ||
[32] | Trivedi VR, Satia MC, Deschamps A, Maquet V, Shah RB, Zinzuwadia PH, Trivedi JV. Single-blind, placebo controlled randomised clinical study of chitosan for body weight reduction. Nutr J 2016; 15: 3. | ||
In article | View Article PubMed | ||
[33] | Lütjohann D, Marinova M, Wolter K, Willinek W, Bitterlich N, Coenen M, Coch C, Stellaard F. Influence of Chitosan Treatment on Surrogate Serum Markers of Cholesterol Metabolism in Obese Subjects. Nutrients 2018;10: 72. | ||
In article | View Article PubMed | ||
[34] | Mhurchu CN, Poppitt SD, McGill AT, Leahy FE, Bennett DA, Lin RB, Ormrod D, Ward L, Strik C, Rodgers A. The effect of the dietary supplement, Chitosan, on body weight: a randomised controlled trial in 250 overweight and obese adults. Int J Obes Relat Metab Disord 2004; 28(9): 1149-1156. | ||
In article | View Article PubMed | ||
[35] | Hayashi K, Ito M. Antidiabetic action of low molecular weight chitosan in genetically obese diabetic KK-Ay mice. Biol Pharm Bull 2002; 25 (2):188-192. | ||
In article | View Article PubMed | ||
[36] | Kim JG, Jo SH, Ha KS, Kim SC, Kim YC, Apostolidis E, Kwon YI. Effect of long-term supplementation of low molecular weight chitosan oligosaccharide (GO2KA1) on fasting blood glucose and HbA1c in db/db mice model and elucidation of mechanism of action. BMC Complement Altern Med 2014; 14: 272. | ||
In article | View Article PubMed | ||
[37] | Walsh AM, Sweeney T, Bahar B, O'Doherty JV. Multi-functional roles of chitosan as a potential protective agent against obesity. PLoS One 2013; 8(1): e53828. | ||
In article | View Article PubMed | ||
[38] | Lee SH, Senevirathne M, Ahn CB, Kim SK, Je JY. Factors affecting anti-inflammatory effect of chitooligosaccharides in lipopolysaccharides-induced RAW264.7 macrophage cells. Bioorg Med Chem Lett 2009; 19(23): 6655-6658. | ||
In article | View Article PubMed | ||
[39] | Kim HM, Hong SH, Yoo SJ, Baek KS, Jeon YJ, Choung SY. Differential effects of chitooligosaccharides on serum cytokine levels in aged subjects. J Med Food 2006; 9(3): 427-430. | ||
In article | View Article PubMed | ||