| Literature DB >> 35631193 |
Leona Yuen-Ling Leung1,2,3, Sidney Man-Ngai Chan4, Hon-Lon Tam5,6, Emily Sze-Wan Wong4.
Abstract
The use of medication is effective in managing metabolic syndrome (MetS), but side effects have led to increased attention on using nutraceuticals and supplements. Astaxanthin shows positive effects in reducing the risk of MetS, but results from individual studies are inconclusive. This systematic review summarizes the latest evidence of astaxanthin in adults with risk factors of MetS. A systematic search of English and Chinese randomized controlled trials in 14 electronic databases from inception to 30 June 2021 was performed. Two reviewers independently screened the titles and abstracts, and conducted full-text review, quality appraisal, and extraction of data. Risk of bias was assessed by PEDro. A total of 7 studies met the inclusion criteria with 321 participants. Six studies were rated to have excellent methodological quality, while the remaining one was rated at good. Results show marginal effects of astaxanthin on reduction in total cholesterol and systolic blood pressure, and a significant attenuating effect on low-density lipoprotein cholesterol. Further robust evidence is needed to examine the effects of astaxanthin in adults at risk of MetS.Entities:
Keywords: astaxanthin; cardiometabolic disease; meta-analysis; metabolic syndrome; systematic review
Mesh:
Substances:
Year: 2022 PMID: 35631193 PMCID: PMC9148008 DOI: 10.3390/nu14102050
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 6.706
Comparing criteria of metabolic syndrome of seven professional institutions.
| Risk Factor | WHO (1998) [ | EGIR (1999) [ | AACE (2003) [ | CDS (2004) [ | IDF (2005) [ | NCEP-ATP III (2005 Revision) [ | JCDCG (2007) [ |
|---|---|---|---|---|---|---|---|
| Core element | Insulin resistance (IGT, IFG, T2DM or other evidence of IR) | Hyperinsulinemia (plasma insulin > 75th percentile) | Insulin resistance (IGT, IFG) | None | Central obesity (WC): ≥90 cm (M), ≥80 cm (F) | None | None |
| Criteria | IR or diabetes, plus two of the five criteria below | Hyperinsulinemia, plus two of the four criteria below | IR, final diagnosis is left to physician discretion | Any three of the four criteria below | Obesity, plus two of the four criteria below | Any three of the five criteria below | Any four of the five criteria below |
| Obesity | Waist/hip ratio: >0.90 (M), >0.85 (F); or BMI >30 kg/m2 | WC: ≥94 cm (M), ≥80 cm (F) | BMI >25 kg/m2 or WC: >40 inches (M), >35 inches (F) | BMI > 25 kg/m2 | Central obesity already required | WC: >40 inches (M), >35 inches (F) | WC: ≥90 cm (M), ≥85 cm (F) |
| Hyper-glycemia | IR already required | IR already required | IR already required | Fasting glucose ≥ 110 mg/dL or Tx | Fasting glucose ≥ 100 mg/dL | Fasting glucose ≥ 100 mg/dL or Tx | Fasting glucose ≥ 110 mg/dL or with a history of T2DM |
| Dys-lipidemia | TG ≥150 mg/dL or HDL-C: <35 mg/dL (M), <39 mg/dL (F) | TG ≥117 mg/dL or HDL-C <39 mg/dL | TG ≥150 mg/dL or HDL-C: <40 mg/dL (M), <50 mg/dL (F) | TG ≥150 mg/dL or HDL-C: <35 mg/dL (M), <39 mg/dL (F) | TG ≥150 mg/dL or Tx | TG ≥150 mg/dL or Tx | TG ≥150 mg/dL |
| Dyslipidemia (second separate criteria) | - | - | - | - | HDL-C: <40 mg/dL (M), <50 mg/dL (F); or Tx | HDL-C: <40 mg/dL (M), <50 mg/dL (F); or Tx | HDL-C: <40 mg/dL |
| Hyper-tension | ≥140/90 mmHg | ≥140/90 mmHg or Tx | >130/85 mmHg | ≥140/90 mmHg or Tx | >130/85 mmHg or Tx | >130/85 mmHg or Tx | ≥130/85 mmHg or Tx |
| Other criteria | Microalbuminuria | - | Other features of IR | - | - | - | - |
BMI: body mass index; F: female; HDL-C: high-density lipoprotein cholesterol; IFG: impaired fasting glucose; IGT: impaired glucose tolerance; IR: insulin resistance; M: male; Tx: treatment; T2DM: Type 2 diabetes mellitus; TG: triglyceride; WC: waist circumference.
Figure 1PRISMA flow diagram of searching and selection of the articles. Note. CBM: Chinese Biomedical Literature Database; CINAHL = Cumulative Index of Nursing and Allied Health Literature; CMCC = Chinese Medical Current Content; CMUL = Capital Medical University Library; CNKI: China National Knowledge; EMBASE: Excerpta Medica database; UMIN-CTR: University Hospital Medical Information Network Clinical Trials Registry.
Review characteristics of included studies (n = 7).
| Design, Country, No. Study Site | Number of Participants (% Female) | Mean Age in Years (SD) | Study Population | Primary Aim | Outcomes | Attrition Rate (%) | ITT | Protocol | |
|---|---|---|---|---|---|---|---|---|---|
| Choi et al. (2011) [ | Double-blind RCT Korea 1 study site | 27 ( | Placebo 30.1 ± 9.5; | Overweight adults (aged 20–55 years; BMI > 25.0 kg/m2); and overweight (BMI > 25.0 kg/m2) | Evaluate positive effects of AST on LPs and OS state in overweight adults | At baseline and week 12: anthropometric data, LPs, apolipidprotein A1, apolipidprotein B MDA, 15-isoprostane F2t (ISP; also known as 8-epi-PGF2α, 8-iso-PGF2α, or 8-isoprostane), SOD, TAC measured to evaluate OS at baseline and at 4, 8, and 12 weeks | Adherence rate: | 27 | No information |
| Coombes et al. (2016) [ | Double-blind RCT Australia 2 study sites | 33 ( | All 49.9 ± 12.2; (Placebo 50.9 ± 13.4; | Age > 18 and <85 y and having undergone renal transplantation | Assess the effect of AST on arterial stiffness, OS, and inflammation in renal transplant recipients | Primary outcomes: PWV, OS (total F2-isoprostanes), and inflammation (pentraxin-3) | 3 (4.92%) | 58 | No information |
| MacDermid et al. (2012) [ | Double-blind RCT Canada 1 study site | 63 ( | Control 49 ± 9; | CTS clinically diagnosed by hand surgeons and supported by electrophysiological abnormality; competent to comply with treatment and complete study evaluations; aged 18–65 years | Evaluate effectiveness of food additive AST as adjunct in management of CTS | Primary outcome: severity of symptoms of CTS (symptom severity scale) | 0 (0%) | 63 | No information |
| Mashhadi et al. (2018) [ | Double-blind RCT Iran 1 study site | 44 ( | Placebo 54 ± 8; | Adults aged 30–60 years; definitive diagnosis of T2DM with no insulin therapy; no pregnancy or lactation; absence of self-reported specific diseases and malignancies, kidney failure, heart disease, thyroid, and other inflammatory diseases; not taking vitamin and antioxidant supplements during the last 6 months; and no smoking or drinking | Investigate potential effects of AST on participants with T2DM | Adiponectin concentration, lipid peroxidation, glycemic control, insulin sensitivity, and anthropometric indices | 1 (2.38%) | 43 | Yes |
| Nakagawa et al. (2011) [ | Double-blind RCT Japan 1 study site | 30 ( | All 56.3 ± 5.3; (Control 56.6 ± 4.4; 6 mg/day 56.3 ± 6.6; 12 mg/day; 56.1 ± 5.1) | Healthy subjects (fifteen men and fifteen women), between 50 and 69 years of age, with a BMI of 27·5 (SD 2·1) kg/m2 | Assess the efficacy of 12-week AST (6 or 12 mg/d) on both AST and PLOOH levels in the erythrocytes of thirty middle-aged and senior subjects | Erythrocyte AST, phospholipid hydroperoxides, blood biochemical | 0 (0%) | 30 | No information |
| Sarkkinen et al. (2018) [ | Double-blind RCT Finland 2 study sites | 35 ( | All 55.4 ± 8.6 (Placebo 55.3 ± 8.4; Ix 55.5 ± 9.0) | (1) age 18–65 years, (2) overweight female or male (BMI between 25 and 30 kg/m2), (3) mildly or moderately elevated BP (systolic 140–159/ diastolic 90–99 mmHg) | Compare the amount and the type of adverse events during 8-week follow-up after ingestion of krill powder preparation in comparison to ingestion of respective amount of placebo in overweight study subjects with mildly or moderately elevated BP | • Anthropometric data, BP | 0 (0%) | 35 | Yes |
| Yoshida et al. (2010) [ | Double-blind RCT Japan 1 study site | 61 ( | All 44 ± 8 (18 mg/day 43.8 ± 10.4; 12 mg/day 42.8 ± 8.8; 6 mg/day 47.0 ± 7.0; 0 mg/day 44.3 ± 7.0) | Healthy subjects (41 men and 20 women) with TG levels of 120–200 mg/dL | Investigate AST consumption ameliorates dyslipidemia and the association with an increase in serum adiponectin levels | FPG, TC, TG, LDL-C, and HDL-C | 0 (0%) | 61 | No information |
Aix: augmentation index; AST: astaxanthin; BMI: body mass index; BP: blood pressure; CBP: central blood pressure; CIMT: carotid artery intima-media thickness; CTS: carpal tunnel syndrome; FPG: Fasting plasma glucose; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol; LPs: lipid profiles; MDA: malondialdehyde; OS: oxidative stress; PLOOH: phospholipid hydroperoxides; PWV: aortic pulse wave velocity; RCT: randomized controlled trial; SERV: sub-endocardial viability ratio; SOD: superoxide dismutase; TAC: total antioxidant capacity; T2DM: Type 2 diabetes mellitus; TC: total cholesterol; TG: triglyceride.
Results of PEDro Scale (n = 7).
| Items | Choi et al. (2011) [ | Coombes et al. (2016) [ | MacDermid et al. (2012) [ | Mashhadi et al. (2018) [ | Nakagawa et al. (2011) [ | Sarkkinen et al. (2018) [ | Yoshida et al. (2010) [ |
|---|---|---|---|---|---|---|---|
| 1. Eligibility criteria were specified | Y | Y | Y | Y | Y | Y | Y |
| 2. Subjects were randomly allocated to groups (in a crossover study, subjects were randomly allocated an order in which treatments were received) | Y | Y | Y | Y | Y | Y | Y |
| 3. Allocation was concealed | Y | Y | Y | Y | Y | Y | Y |
| 4. The groups were similar at baseline regarding the most important prognostic indicators | N | Y | Y | Y | Y | Y | Y |
| 5. There was blinding of all subjects | Y | Y | Y | Y | Y | Y | Y |
| 6. There was blinding of all therapists who administered the therapy | Y | Y | Y | Y | N | Y | Y |
| 7. There was blinding of all assessors who measured at least one key outcome | N | Y | Y | Y | N | Y | N |
| 8. Measures of at least one key outcome were obtained from more than 85% of the subjects initially allocated to groups | Y | Y | Y | Y | Y | Y | Y |
| 9. All subjects for whom outcome measures were available received the treatment or control condition as allocated or, where this was not the case, data for at least one key outcome was analysed by “intention to treat” | Y | Y | Y | Y | Y | Y | Y |
| 10. The results of between-group statistical comparisons are reported for at least one key outcome | Y | Y | Y | Y | Y | Y | Y |
| 11. The study provides both point measures and measures of variability for at least one key outcome | Y | Y | Y | Y | Y | Y | Y |
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| 8 | 10 | 10 | 10 | 8 | 10 | 9 |
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N: not fulfilling the criteria; Y: fulfilling the criteria; overall score (only items 2–11 were counted) < 4: poor; 4–5: fair; 6–8: good; and 9–10: excellent [25].
Figure 2Forest plot of effect of astaxanthin on body mass index [26,27,28,30]. Bold means total data.
Figure 3Forest plot of the effect of astaxanthin on fasting blood glucose [26,27,28]. Bold means total data.
Figure 4Forest plot of the effect of astaxanthin on systolic blood pressure [26,27,28,31]. Bold means total data.
Figure 5Forest plot of the effect of astaxanthin on diastolic blood pressure [26,27,28,31]. Bold means total data.
Figure 6Forest plot of the effect of astaxanthin on total cholesterol [26,27,28,30,31,32]. Bold means total data.
Figure 7Forest plot of the effect of astaxanthin on high-density lipoprotein cholesterol [26,27,28,29,30,31,32]. Bold means total data.
Figure 8Forest plot of the effect of astaxanthin on low-density lipoprotein cholesterol [26,27,28,29,30,31,32]. Bold means total data.
Figure 9Forest plot of the effect of astaxanthin on triglyceride [26,28,29,30,31,32]. Bold means total data.