| Literature DB >> 32784736 |
Simone Perna1, Sana N M Basharat1, Khawla F Ali2, Abdulla Eid3, Clara Gasparri4, Vittoria Infantino5, Milena A Faliva4, Maurizio Naso4, Roberta Cazzola6, Benvenuto Cestaro6, Mariangela Rondanelli5,7.
Abstract
The use of dietary supplements for weight loss has gained significant momentum. Polyglucosamine, a chitosan derivative, is a dietary supplement increasingly used for weight loss. In this meta-analysis, we systematically summarized and quantified the key findings of four randomized, placebo-controlled clinical trials examining the effects of polyglucosamine supplementation and caloric restriction, and physical activity on body weight, body mass index (BMI), and waist circumference in subjects with overweight and obesity. The control group was set with a physical activity from 6-7 MET-h/week activity and up to 21 MET-h/week activity with caloric restriction. Compliance in the latter trials was reported via a follow-up questionnaire with the individual participants. The analysis included 399 subjects followed for a period ranging from 12 weeks to one year. Subjects' age ranged from 21-75 years, BMI from 26-45 kg/m2, and all were white European or Caucasian in ethnicity. The meta-analyzed mean differences for random effects showed that polyglucosamine supplementation improves weight loss by -1.78 kg [-2.78, -0.79], BMI by -1.52 kg/m2 [-3.58, 0.54], and improves waist circumference reduction by -1.45 cm [-2.77, -0.12]. In conclusion, the use of polyglucosamine supplementation in conjunction with lifestyle behavioral therapies can be effective for weight reduction. Further studies are needed to examine the long-term effects of polyglucosamine supplementation on weight loss and other metabolic parameters.Entities:
Keywords: obesity; overweight; polyglucosamine; waist circumference; weight loss
Mesh:
Substances:
Year: 2020 PMID: 32784736 PMCID: PMC7468765 DOI: 10.3390/nu12082365
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Flowchart.
Characteristics of polyglucosamine studies in humans.
| First Author/Year of Publication | Subjects, Sex (Polyglucosamine vs. Placebo) | Population (Age, BMI) | Treatment Duration | Polyglucosamine Dosage | Control Group | Outcomes |
|---|---|---|---|---|---|---|
| Pokhis et al., 2015 [ | Total: 115 (36 M, 79 F) | 21–75 years, BMI of >26 and <45 kg/m2 | 26 weeks | 850 mg PG tablets twice daily + 6–7 MET-h/week activity + caloric restriction | 6–7 MET-h/week activity + caloric restriction | Weight, BMI, and waist circumference |
| Cornelli et al., 2017 [ | Total: 100 (50 M, 50 F) | 25–65 years, BMI of >30 and <35 kg/m2 | 12 months | Two 400 mg PG tablets twice daily + caloric restriction + 8 MET-h/week | Caloric restriction + 8 MET-h/week | Weight, BMI, waist circumference |
| Willers et al., 2012 [ | Total: 120 (61 M, 59 F) | 30–60 years, BMI of 28–35 kg/m2 | 12 weeks | Two 400 mg PG tablets/day + Protein-rich formula diet | High protein-rich formula diet | Weight, BMI, waist and hip circumference, waist to hip ratio, blood glucose, and lipid parameters |
| Stoll et al., 2017 [ | Total: 64 (28M, 36 F) | 21–70 years, BMI of >28 and <45 kg/m2 | 12 weeks | Two PG tablets twice/day | One orlistat capsule three times/day | Weight, BMI, waist circumference |
F: female; M: male; PG: Polyglucosamine. MET-h: Metabolic Equivalent Task Hours/week (Physical activity). BMI: body mass index.
Figure 2Forest plot of comparison: effect of polyglucosamine on body weight, versus placebo.
Figure 3Forest plot of comparison: effect of polyglucosamine on BMI versus placebo.
Figure 4Forest plot of comparison: effect of polyglucosamine on waist circumference versus placebo.
Bias for studies included in the meta-analysis according to the Cochrane Risk of Bias Tool a.
| Study, Year | Random-Sequence Generation | Allocation Concealment | Participant-Personnel Blinding | Outcome-Assessment Blinding | Incomplete Outcome Data | Selective Reporting | Other Bias |
|---|---|---|---|---|---|---|---|
| Cornelli et al., 2017 [ | Low | Unclear | Low | Unclear | Low | Low | Low |
| Pokhis et al., 2015 [ | Low | Unclear | Low | Unclear | Low | Low | Low |
| Stoll et al., 2017 [ | Low | Unclear | Low | Unclear | Low | Low | Low |
| Willers et al., 2012 [ | Low | Unclear | Low | Unclear | Low | Low | Low |
a Bias designations by study criteria are indicated by seven domains with categories including low risk if negative aspects of the study design were not likely to influence the study findings, high risk if the study design was likely to influence the study findings, or unclear risk if high or low risk could not be assigned because of a lack of evidence.