You are currently viewing a new version of our website. To view the old version click .
Molecules
  • Review
  • Open Access

30 January 2021

Clinical Efficacy of Brown Seaweeds Ascophyllum nodosum and Fucus vesiculosus in the Prevention or Delay Progression of the Metabolic Syndrome: A Review of Clinical Trials

,
,
,
and
1
Department of Life Sciences, University of Roehampton, London SW15 4JD, UK
2
BioAtlantis Ltd., Tralee, V92 RWV5 Co. Kerry, Ireland
*
Author to whom correspondence should be addressed.
This article belongs to the Special Issue Bioactive Compounds on Health and Disease

Abstract

Metabolic syndrome (MetS) is a global public health problem affecting nearly 25.9% of the world population characterised by a cluster of disorders dominated by abdominal obesity, high blood pressure, high fasting plasma glucose, hypertriacylglycerolaemia and low HDL-cholesterol. In recent years, marine organisms, especially seaweeds, have been highlighted as potential natural sources of bioactive compounds and useful metabolites, with many biological and physiological activities to be used in functional foods or in human nutraceuticals for the management of MetS and related disorders. Of the three groups of seaweeds, brown seaweeds are known to contain more bioactive components than either red and green seaweeds. Among the different brown seaweed species, Ascophyllum nodosum and Fucus vesiculosus have the highest antioxidant values and highest total phenolic content. However, the evidence base relies mainly on cell line and small animal models, with few studies to date involving humans. This review intends to provide an overview of the potential of brown seaweed extracts Ascophyllum nodosum and Fucus vesiculosus for the management and prevention of MetS and related conditions, based on the available evidence obtained from clinical trials.

1. Introduction

Metabolic syndrome (MetS) is a collection of metabolic abnormalities that include conditions such as abdominal obesity, increased blood pressure (BP), increased fasting plasma glucose (FPG), increased triglycerides (TG) and decreased high-density lipoprotein cholesterol (HDL-C) that lead to an increased risk of developing cardiovascular diseases (CVDs), type 2 diabetes mellitus (T2DM) and all-cause mortality [1,2]. Metabolic syndrome has been one of the major public health challenges worldwide and it is estimated that approximately one-quarter of the world’s population is affected [3]. Excessive energy intake and lack of exercise result in a positive energy balance which leads to the accumulation of visceral fat, the progression of liver steatosis and the onset of MetS risk factors [4]. Since the prevalence of these metabolic dysfunctions is continuing to increase, the discovery of new strategies for the prevention or treatment of MetS risk factors is of importance [5,6].
The first-line of therapy for MetS is diet and lifestyle modifications including reducing caloric intake, adopting a healthy diet and increasing physical activity [7]. However, these approaches are often not sufficient and patients are commonly put on medications [8]. To date, the US Food and Drug Administration (FDA) has not approved any medication to treat MetS; however, an insulin-sensitizing agent, such as metformin, is currently widely administered in patients with MetS at the start of hyperglycemia treatment [9]. It has been also shown that metformin helps to reverse the pathophysiological alterations associated with MetS when it is administered in conjunction with lifestyle modifications [10] or with peroxisome proliferator-activated receptor agonists (PPARγ), such as thiazolidinediones and fibrates which promotes adipocyte differentiation and improve insulin resistance [11,12,13,14,15]. Although such medications can be helpful, most of them cause adverse effects and their effectiveness could be reduced or lost as a result of chronic administration [16]. Thus, there is emerging interest in the use of natural products to lower the risk and progression of MetS.
In recent years, marine organisms, especially seaweeds, have been highlighted as potential natural sources of bioactive compounds and useful metabolites, with many biological and physiological activities to be used in functional foods or in human nutraceuticals for the management of MetS comorbidities [17,18,19,20,21]. The major bioactive compounds of seaweeds are polysaccharides, in addition to phenolic, phlorotannins, terpenes, terpenoids, amino acids, proteins, peptides, lipids and halogenated compounds [22]. Among the various bioactive constituents, there is some evidence that some components in seaweed may have beneficial effects including anticoagulant [23], anti-inflammatory [24], antioxidant [25], anticarcinogenic [26] and antiviral activities [27]. However, the evidence base relies heavily on cell line and small animal models, with few studies to date involving humans.
Seaweeds are a widespread group of autotrophic organisms that have a long fossil history. They are globally distributed and can be located in every climatic zone ranging from freezing cold polar regions to tropical warm waters [28]. At present, more than ten thousand different species of seaweed are identified [29]. Seaweeds are classified into three main groups, namely red seaweeds (Rhodophyceae), brown seaweeds (Phaeophyceae) and green seaweeds (Chlorophyceae), each having specific nutritional, biological and chemical characteristics [30]. Among the three groups of seaweeds, brown seaweeds are known to contain more bioactive components than either red or green seaweeds [31]. The most abundant polysaccharides in brown seaweeds are laminarin, fucoidan and alginates [32].
Laminarins have been reported to exert bioactive properties in the gastrointestinal tract and are recognized as a regulator of intestinal metabolism through its impacts on mucus structure, intestinal pH and short chain fatty acids production [33]. Furthermore, laminarins provide protection against infection caused by bacterial pathogens and protection against severe irradiation, boosts the immune system by increasing the B cells and helper T cells and can also act on typical mechanisms involved in MetS, since they lower the systolic blood pressure, cholesterol absorption in the gut and consequently the levels of cholesterol and total lipid both in serum and liver [34,35].
Fucoidans have been reported to reduce hyperglycaemia via the inhibition of α-amylase and α-glucosidase, consequently decreasing intestinal absorption of glucose and enhancing the insulin-mediated glucose uptake due to the ability of fucoidans to modulate relevant pharmacological targets including glucose transporter GLUT-4 and AMP-activated protein kinase (AMPK) [36]. Fucoidans have been also reported to increase the expression of hormone-sensitive lipase, the key enzyme involved in lipolysis which suggest that fucoidans decrease lipid accumulation by triggering lipolysis [37,38,39,40]. Moreover, fucoidans are recognized for their cardiovascular and antihypertensive effects through the inhibition of the angiotensin converting enzyme (ACE) and the activation of eNOS-dependent pathways [41].
Alginates have been shown to inhibit the digestive enzymes pancreatic lipase and pepsin and diminish the intestinal absorption of triacylglycerols, cholesterol and glucose [33,42,43]. It has been also shown that, as with other dietary fibres, the consumption of alginates could delay gastric emptying, increase digestive fluid viscosity and reduce calorie intake through enhanced satiety [44,45]. The mechanisms of these molecules in the management and progression of MetS are summarised in Figure 1.
Figure 1. Summary of the molecules extracted from A. nodosum and F. vesiculosus in the management and progression of MetS.
Among different brown seaweed species Fucus vesiculosus (F. vesiculosus) and Ascophyllum nodosum (A. nodosum) are the most studied species with the highest antioxidant values and highest total phenolic content (TPC) along with the greatest DPPH (2,2-diphenyl-1-picryl-hydrazyl-hydrate) radical scavenging activities [46,47,48].
Thus, this review intends to provide an overview of the potential of brown seaweed extracts A. nodosum and F. vesiculosus for the management and prevention of MetS and related conditions, based on the available evidence obtained from clinical trials.

2. Search Strategy

A comprehensive search of literature was carried out using electronic databases including Clinical Trials.gov, Medline, PubMed, Science direct, Google scholar to identify relevant studies in August 2020. Criteria for inclusion in this review were: (1) human adults (aged 18 and over), (2) dietary brown seaweed intervention (either Ascophyllum nodosum or Fucus vesiculosus; or in combination), (3) included anthropometric parameters, inflammatory markers, glucose, insulin, blood lipids and energy intake as an outcome and (4) written in English. Owing to the small number of eligible papers, trials both with and without dietary restriction were included in spite of the potential for weight change to influence results and there was no limit placed on follow-up or study duration. Papers were omitted if they were not original research or if the study involved cell culture or animal models. An overview of the clinical trials included in the review are summarised in Table 1.
Table 1. Summary of clinical trials included in this review (n = 10).

4. Impact of Seasonal Variation and Extraction Techniques on Phenolic Content

The seasonal variation in the phenolic content of the brown seaweed extracts has been reported previously and, due to the potential use of A. nodosum and F. vesiculosus extracts in functional foods or in human nutraceuticals, determination of the most favourable time for harvesting the algal material is of importance and should be monitored to help standardise the finished products [17,62,94,95]. The metabolic production of polyphenolics relies on the harvesting season and location [95]. Indeed, A. nodosum collected from Norway had the highest polyphenolic content in winter season, while those collected from the Scottish west coast exhibited the highest phenolic content in July [94,95]. A similar pattern was observed by Apostolidis et al. (2011) in the A. nodosum collected from the Northeast U.S. Atlantic coast with the highest phenolic contents observed one in summer (June and July) and one in fall (October) [62].
There are various other factors that influence the production of phenolic metabolites in seaweeds such as severe defoliation, nutrient stress and environmental stress [62]. For the cold-water loving A. nodosum water temperature could be also a stress factor. This could potentially reveal the phenolic peak seen in the summer months, since it might be possible that under stress more phenolic metabolites are produced. The phenolic peak seen in October could be because of other environmental stress factors such as wave exposure, salinity, temperature and light intensity [96,97,98,99,100,101].
There were also species related variations in the carbolytic enzyme inhibitory activities by fucoidan isolated from A. nodosum and F. vesiculosus [63]. Depending on the target enzyme and collection period, fucoidan inhibited α-amylase and α-glucosidase activities differently. Fucoidan obtained from A. nodosum inhibited both α-amylase and α-glucosidase, whereas, fucoidan from F. vesiculosus is only effective against α-glucosidase [102,103]. Fucoidan from A. nodosum was shown to reduce the α-amylase activity between 7% and 100% at 5 mg/mL with IC50 values of 0.12 to 4.64 mg/mL based on the harvesting period. This inhibitory difference was mainly attributable to the chemical structure and the molecular weight of the fucoidans isolated from these two species [103]
Moreover, other experimental procedures and extraction methods might also affect the types of compounds isolated which may describe the differences in various compounds isolated from the same species of seaweed [103,104]. It is likely that different extraction and processing methods will have significant impact on the biological effects of these extracts in vivo, which may account for the disparities and inconsistent effects observed when comparing the results of clinical trials to date.

5. Limitations and Reported Adverse Events

The limitations of this review include a small number of eligible clinical trials, indiscriminate eligibility criteria and heterogeneity of methodologies.
None of the clinical trials included in the review reported any major adverse effects in response to the administration of seaweed extracts. Administration of A. nodosum and F. vesiculosus was well tolerated and there were no signs of organ toxicity or negative effects on physiological function. Notably, Iacoviello et al. (2013) did not observe any adverse consequences on thyroid function, an important finding when considering the iodine content of the brown seaweed extracts which has been previously documented to cause hyperthyroidism [51,105].
The currently available α-glucosidase inhibitors including acarbose, miglitol and voglibose produce gastrointestinal side effects, such as flatulence and diarrhoea, due to the fermentation of undigested carbohydrates in the intestine [106]. Paradis et al. (2011) showed that a relatively small dose of a α-amylase and α-glucosidase inhibitors from a brown seaweed extract was not accompanied by gastrointestinal intolerance or discomfort [49].

6. Conclusions

This is the first review to provide a comprehensive overview of the two most studied brown seaweed extracts A. nodosum and F. vesiculosus in the management and prevention of MetS and related conditions based on the available evidence obtained from clinical trials. Accumulating evidence from clinical trials indicates that brown seaweed extracts may have a potential role as food supplements for MetS management. However, many of the effects observed to date are inconsistent and in order to be effective in MetS management, seaweed extracts must become more clearly defined in terms of composition, extraction methods and a range of biological effects in vivo. Moreover, further clinical trials will be warranted to confirm any positive effects within different population groups and to establish the optimal dosage, duration of treatment, efficacy and safety.

Author Contributions

Conceptualization, E.K. and A.C.; writing—original draft preparation, E.K.; writing—review and editing M.P., S.T., K.J.G., A.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work was performed with the financial support of BioAtlantis Ltd. (Ireland) for the Russel PhD Studentship Agreement (Ref. LSC 2018_66).

Conflicts of Interest

K.J.G. is a scientific researcher employed by BioAtlantis Ltd. All other authors declare no conflict of interest.

References

  1. Eckel, R.H.; Alberti, K.G.; Grundy, S.M.; Zimmet, P.Z. The metabolic syndrome. Lancet 2010, 375, 181–183. [Google Scholar] [CrossRef]
  2. Kaur, J. A comprehensive review on metabolic syndrome. Cardiol. Res. Pract. 2014, 2014. [Google Scholar] [CrossRef] [PubMed]
  3. Saklayen, M.G. The global epidemic of the metabolic syndrome. Curr. Hypertens Rep. 2018, 20, 12. [Google Scholar] [CrossRef] [PubMed]
  4. Rozendaal, Y.J.; Wang, Y.; Hilbers, P.A.; van Riel, N.A. Computational modelling of energy balance in individuals with Metabolic Syndrome. BMC Syst. Biol. 2019, 13, 1–14. [Google Scholar] [CrossRef] [PubMed]
  5. Hirode, G.; Wong, R.J. Trends in the prevalence of metabolic syndrome in the United States, 2011–2016. JAMA 2020, 323, 2526–2528. [Google Scholar] [CrossRef]
  6. Grundy, S.M. Metabolic Syndrome; Springer: Cham, Switerland, 2020; pp. 71–107. [Google Scholar]
  7. Wilkinson, M.J.; Manoogian, E.N.; Zadourian, A.; Lo, H.; Fakhouri, S.; Shoghi, A.; Wang, X.; Fleischer, J.G.; Navlakha, S.; Panda, S. Ten-hour time-restricted eating reduces weight, blood pressure and atherogenic lipids in patients with metabolic syndrome. Cell Metab. 2020, 31, 92–104. [Google Scholar] [CrossRef]
  8. Sperling, L.S.; Mechanick, J.I.; Neeland, I.J.; Herrick, C.J.; Després, J.; Ndumele, C.E.; Vijayaraghavan, K.; Handelsman, Y.; Puckrein, G.A.; Araneta, M.R.G. The cardiometabolic health alliance: Working toward a new care model for the metabolic syndrome. J. Am. Coll. Cardiol. 2015, 66, 1050–1067. [Google Scholar] [CrossRef]
  9. Misra, A.; Gupta, A.; Tank, N.; Kaklotar, D.; Singh, S.; Sharma, P. Pharmacotherapy in metabolic syndrome. J. Ration. Pharm. 2017, 3, 20–37. [Google Scholar]
  10. Orchard, T.J.; Temprosa, M.; Goldberg, R.; Haffner, S.; Ratner, R.; Marcovina, S.; Fowler, S. The effect of metformin and intensive lifestyle intervention on the metabolic syndrome: The Diabetes Prevention Program randomized trial. Ann. Intern. Med. 2005, 142, 611–619. [Google Scholar] [CrossRef]
  11. Nieuwdorp, M.; Stroes, E.; Kastelein, J. Fenofibrate/Metformin Study Group Normalization of metabolic syndrome using fenofibrate, metformin or their combination. Diabetes Obes. Metab. 2007, 9, 869–878. [Google Scholar] [CrossRef]
  12. Derosa, G.; D’Angelo, A.; Ragonesi, P.D.; Ciccarelli, L.; Piccinni, M.N.; Pricolo, F.; Salvadeo, S.; Montagna, L.; Gravina, A.; Ferrari, I. Metabolic effects of pioglitazone and rosiglitazone in patients with diabetes and metabolic syndrome treated with metformin. Intern. Med. J. 2007, 37, 79–86. [Google Scholar] [CrossRef] [PubMed]
  13. Di Pino, A.; DeFronzo, R.A. Insulin resistance and atherosclerosis: Implications for insulin-sensitizing agents. Endocr. Rev. 2019, 40, 1447–1467. [Google Scholar] [CrossRef] [PubMed]
  14. Bragt, M.; Popeijus, H.E. Peroxisome proliferator-activated receptors and the metabolic syndrome. Physiol. Behav. 2008, 94, 187–197. [Google Scholar] [CrossRef] [PubMed]
  15. Furukawa, A.; Arita, T.; Satoh, S.; Wakabayashi, K.; Hayashi, S.; Matsui, Y.; Araki, K.; Kuroha, M.; Ohsumi, J. Discovery of a novel selective PPARγ modulator from (−)-Cercosporamide derivatives. Bioorg. Med. Chem. Lett. 2010, 20, 2095–2098. [Google Scholar] [CrossRef]
  16. Rochlani, Y.; Pothineni, N.V.; Kovelamudi, S.; Mehta, J.L. Metabolic syndrome: Pathophysiology, management and modulation by natural compounds. Ther. Adv. Cardiovasc. Dis. 2017, 11, 215–225. [Google Scholar] [CrossRef]
  17. Tanna, B.; Mishra, A. Nutraceutical potential of seaweed polysaccharides: Structure, bioactivity, safety and toxicity. Compr. Rev. Food Sci. Food Saf. 2019, 18, 817–831. [Google Scholar] [CrossRef]
  18. Pandey, A.K.; Chauhan, O.P.; Semwal, A.D. Seaweeds—A Potential Source for Functional Foods. Defence Life Sci. J. 2020, 5, 315–322. [Google Scholar] [CrossRef]
  19. Saikia, S.; Mahnot, N.K.; Sahu, R.K.; Kalita, J. Edible Seaweeds as Potential Source of Nutraceuticals. In Marine Niche: Applications in Pharmaceutical Sciences; Springer: Singapore, 2020; pp. 183–201. [Google Scholar]
  20. Hentati, F.; Tounsi, L.; Djomdi, D.; Pierre, G.; Delattre, C.; Ursu, A.V.; Fendri, I.; Abdelkafi, S.; Michaud, P. Bioactive Polysaccharides from Seaweeds. Molecules 2020, 25, 3152. [Google Scholar] [CrossRef]
  21. Muthukumar, J.; Chidambaram, R.; Sukumaran, S. Sulfated polysaccharides and its commercial applications in food industries—A review. J. Food Sci. Technol. 2020, 1–14. [Google Scholar] [CrossRef]
  22. Shofia, S.I.; Jayakumar, K.; Mukherjee, A.; Chandrasekaran, N. Efficiency of brown seaweed (Sargassum longifolium) polysaccharides encapsulated in nanoemulsion and nanostructured lipid carrier against colon cancer cell lines HCT 116. RSC Adv. 2018, 8, 15973–15984. [Google Scholar] [CrossRef]
  23. Ciancia, M.; Quintana, I.; Cerezo, A.S. Overview of anticoagulant activity of sulfated polysaccharides from seaweeds in relation to their structures, focusing on those of green seaweeds. Curr. Med. Chem. 2010, 17, 2503–2529. [Google Scholar] [CrossRef] [PubMed]
  24. Cumashi, A.; Ushakova, N.A.; Preobrazhenskaya, M.E.; D’Incecco, A.; Piccoli, A.; Totani, L.; Tinari, N.; Morozevich, G.E.; Berman, A.E.; Bilan, M.I. A comparative study of the anti-inflammatory, anticoagulant, antiangiogenic and antiadhesive activities of nine different fucoidans from brown seaweeds. Glycobiology 2007, 17, 541–552. [Google Scholar] [CrossRef] [PubMed]
  25. Barahona, T.; Chandía, N.P.; Encinas, M.V.; Matsuhiro, B.; Zúñiga, E.A. Antioxidant capacity of sulfated polysaccharides from seaweeds. A kinetic approach. Food Hydrocoll. 2011, 25, 529–535. [Google Scholar] [CrossRef]
  26. Sithranga Boopathy, N.; Kathiresan, K. Anticancer drugs from marine flora: An overview. J. Oncol. 2010. [Google Scholar] [CrossRef]
  27. Bouhlal, R.; Haslin, C.; Chermann, J.; Colliec-Jouault, S.; Sinquin, C.; Simon, G.; Cerantola, S.; Riadi, H.; Bourgougnon, N. Antiviral activities of sulfated polysaccharides isolated from Sphaerococcus coronopifolius (Rhodophytha, Gigartinales) and Boergeseniella thuyoides (Rhodophyta, Ceramiales). Mar. Drugs 2011, 9, 1187–1209. [Google Scholar] [CrossRef]
  28. Collins, K.G.; Fitzgerald, G.F.; Stanton, C.; Ross, R.P. Looking beyond the terrestrial: The potential of seaweed derived bioactives to treat non-communicable diseases. Mar. Drugs 2016, 14, 60. [Google Scholar] [CrossRef]
  29. Chopin, T.; Tacon, A.G. Importance of Seaweeds and Extractive Species in Global Aquaculture Production. Rev. Fish. Sci. Aquac. 2020, 1–10. [Google Scholar] [CrossRef]
  30. Buschmann, A.H.; Camus, C.; Infante, J.; Neori, A.; Israel, Á.; Hernández-González, M.C.; Pereda, S.V.; Gomez-Pinchetti, J.L.; Golberg, A.; Tadmor-Shalev, N. Seaweed production: Overview of the global state of exploitation, farming and emerging research activity. Eur. J. Phycol. 2017, 52, 391–406. [Google Scholar] [CrossRef]
  31. Gupta, S.; Rajauria, G.; Abu-Ghannam, N. Study of the microbial diversity and antimicrobial properties of Irish edible brown seaweeds. Int. J. Food Sci. Technol. 2010, 45, 482–489. [Google Scholar] [CrossRef]
  32. Zvyagintseva, T.N.; Shevchenko, N.M.; Chizhov, A.O.; Krupnova, T.N.; Sundukova, E.V.; Isakov, V.V. Water-soluble polysaccharides of some far-eastern brown seaweeds. Distribution, structure and their dependence on the developmental conditions. J. Exp. Mar. Biol. Ecol. 2003, 294, 1–13. [Google Scholar] [CrossRef]
  33. Chater, P.I.; Wilcox, M.D.; Houghton, D.; Pearson, J.P. The role of seaweed bioactives in the control of digestion: Implications for obesity treatments. Food Funct. 2015, 6, 3420–3427. [Google Scholar] [CrossRef] [PubMed]
  34. Holdt, S.L.; Kraan, S. Bioactive compounds in seaweed: Functional food applications and legislation. J. Appl. Phycol. 2011, 23, 543–597. [Google Scholar] [CrossRef]
  35. Lee, J.Y.; Kim, Y.; Kim, H.J.; Kim, Y.; Park, W. Immunostimulatory effect of laminarin on RAW 264.7 mouse macrophages. Molecules 2012, 17, 5404–5411. [Google Scholar] [CrossRef] [PubMed]
  36. De Martin, S.; Gabbia, D.; Carrara, M.; Ferri, N. The brown algae Fucus vesiculosus and ascophyllum nodosum reduce metabolic syndrome risk factors: A clinical study. Nat. Prod. Commun. 2018, 13. [Google Scholar] [CrossRef]
  37. Wan-Loy, C.; Siew-Moi, P. Marine algae as a potential source for anti-obesity agents. Mar. Drugs 2016, 14, 222. [Google Scholar] [CrossRef] [PubMed]
  38. Kumar, S.A.; Brown, L. Seaweeds as potential therapeutic interventions for the metabolic syndrome. Rev. Endocr. Metab. Disord. 2013, 14, 299–308. [Google Scholar] [CrossRef] [PubMed]
  39. Mohamed, S. Functional foods against metabolic syndrome (obesity, diabetes, hypertension and dyslipidemia) and cardiovasular disease. Trends Food Sci. Technol. 2014, 35, 114–128. [Google Scholar] [CrossRef]
  40. Rengasamy, K.R.; Mahomoodally, M.F.; Aumeeruddy, M.Z.; Zengin, G.; Xiao, J.; Kim, D.H. Bioactive compounds in seaweeds: An overview of their biological properties and safety. Food Chem. Toxicol. 2020, 135, 111013. [Google Scholar] [CrossRef]
  41. Fernando, I.P.S.; Ryu, B.; Ahn, G.; Yeo, I.; Jeon, Y. Therapeutic potential of algal natural products against metabolic syndrome: A review of recent developments. Trends Food Sci. Technol. 2020, 97, 286–299. [Google Scholar] [CrossRef]
  42. Paxman, J.R.; Richardson, J.C.; Dettmar, P.W.; Corfe, B.M. Alginate reduces the increased uptake of cholesterol and glucose in overweight male subjects: A pilot study. Nutr. Res. 2008, 28, 501–505. [Google Scholar] [CrossRef]
  43. Brownlee, I.A.; Allen, A.; Pearson, J.P.; Dettmar, P.W.; Havler, M.E.; Atherton, M.R.; Onsøyen, E. Alginate as a source of dietary fiber. Crit. Rev. Food Sci. Nutr. 2005, 45, 497–510. [Google Scholar] [CrossRef] [PubMed]
  44. Austin, C.; Stewart, D.; Allwood, J.W.; McDougall, G.J. Extracts from the edible seaweed, Ascophyllum nodosum, inhibit lipase activity in vitro: Contributions of phenolic and polysaccharide components. Food Funct. 2018, 9, 502–510. [Google Scholar] [CrossRef] [PubMed]
  45. Lange, K.W.; Hauser, J.; Nakamura, Y.; Kanaya, S. Dietary seaweeds and obesity. Food Sci. Hum. Wellness 2015, 4, 87–96. [Google Scholar] [CrossRef]
  46. Gabbia, D.; Dall’Acqua, S.; Di Gangi, I.M.; Bogialli, S.; Caputi, V.; Albertoni, L.; Marsilio, I.; Paccagnella, N.; Carrara, M.; Giron, M.C. The phytocomplex from Fucus vesiculosus and Ascophyllum nodosum controls postprandial plasma glucose levels: An in vitro and in vivo study in a mouse model of NASH. Mar. Drugs 2017, 15, 41. [Google Scholar] [CrossRef] [PubMed]
  47. Peinado, I.; Girón, J.; Koutsidis, G.; Ames, J.M. Chemical composition, antioxidant activity and sensory evaluation of five different species of brown edible seaweeds. Food Res. Int. 2014, 66, 36–44. [Google Scholar] [CrossRef]
  48. Wang, T.; Jonsdottir, R.; Ólafsdóttir, G. Total phenolic compounds, radical scavenging and metal chelation of extracts from Icelandic seaweeds. Food Chem. 2009, 116, 240–248. [Google Scholar] [CrossRef]
  49. Paradis, M.; Couture, P.; Lamarche, B. A randomised crossover placebo-controlled trial investigating the effect of brown seaweed (Ascophyllum nodosum and Fucus vesiculosus) on postchallenge plasma glucose and insulin levels in men and women. Appl. Physiol. Nutr. Metab. 2011, 36, 913–919. [Google Scholar] [CrossRef] [PubMed]
  50. Hall, A.C.; Fairclough, A.C.; Mahadevan, K.; Paxman, J.R. Ascophyllum nodosum enriched bread reduces subsequent energy intake with no effect on post-prandial glucose and cholesterol in healthy, overweight males. A pilot study. Appetite 2012, 58, 379–386. [Google Scholar] [CrossRef]
  51. Iacoviello, L.; Zito, F.; Rago, L.; Di Castelnuovo, A.; De Curtis, A.; Zappacosta, B.; de Gaetano, G.; Donati, M.B.; Cerletti, C. Prolonged administration of Ascophyllum nodosum to healthy human volunteers and cardiovascular risk. Nutrafoods 2013, 12, 137–144. [Google Scholar] [CrossRef]
  52. Mayer, M.A.; Finlayson, G.; Fischman, D.; de Paz, C.; Telleriarte, M.R.; Ferrero, A.J.; Bobillo, C.; Fernández, B.E. Evaluation of the satiating properties of a nutraceutical product containing Garcinia cambogia and Ascophyllum nodosum extracts in healthy volunteers. Food Funct. 2014, 5, 773–779. [Google Scholar] [CrossRef]
  53. Murray, M.; Dordevic, A.L.; Ryan, L.; Bonham, M.P. The impact of a single dose of a polyphenol-rich seaweed extract on postprandial glycaemic control in healthy adults: A randomised cross-over trial. Nutrients 2018, 10, 270. [Google Scholar] [CrossRef] [PubMed]
  54. Baldrick, F.R.; McFadden, K.; Ibars, M.; Sung, C.; Moffatt, T.; Megarry, K.; Thomas, K.; Mitchell, P.; Wallace, J.M.; Pourshahidi, L.K. Impact of a (poly) phenol-rich extract from the brown algae Ascophyllum nodosum on DNA damage and antioxidant activity in an overweight or obese population: A randomized controlled trial. Am. J. Clin. Nutr. 2018, 108, 688–700. [Google Scholar] [CrossRef] [PubMed]
  55. Derosa, G.; Cicero, A.F.; D’Angelo, A.; Maffioli, P. Ascophyllum nodosum and Fucus vesiculosus on glycemic status and on endothelial damage markers in dysglicemic patients. Phytother. Res. 2019, 33, 791–797. [Google Scholar] [CrossRef] [PubMed]
  56. Murray, M.; Dordevic, A.L.; Ryan, L.; Bonham, M.P. A single-dose of a polyphenol-rich Fucus vesiculosus extract is insufficient to blunt the elevated postprandial blood glucose responses exhibited by healthy adults in the evening: A randomised crossover trial. Antioxidants 2019, 8, 49. [Google Scholar] [CrossRef]
  57. Derosa, G.; Pascuzzo, M.D.; D’angelo, A.; Maffioli, P. Ascophyllum nodosum, Fucus vesiculosus and chromium picolinate nutraceutical composition can help to treat type 2 diabetic patients. Diabetes Metab. Syndr. Obes. Targets Ther. 2019, 12, 1861. [Google Scholar] [CrossRef]
  58. Cox, N.J.; Morrison, L.; Ibrahim, K.; Robinson, S.M.; Sayer, A.A.; Roberts, H.C. New horizons in appetite and the anorexia of ageing. Age Ageing 2020, 49, 526–534. [Google Scholar] [CrossRef]
  59. De Graaf, C.; Blom, W.A.; Smeets, P.A.; Stafleu, A.; Hendriks, H.F. Biomarkers of satiation and satiety. Am. J. Clin. Nutr. 2004, 79, 946–961. [Google Scholar] [CrossRef]
  60. American Diabetes Association Diagnosis and classification of diabetes mellitus. Diabetes Care 2014, 37, S81–S90. [CrossRef]
  61. Aronoff, S.L.; Berkowitz, K.; Shreiner, B.; Want, L. Glucose metabolism and regulation: Beyond insulin and glucagon. Diabetes Spectr. 2004, 17, 183–190. [Google Scholar] [CrossRef]
  62. Apostolidis, E.; Karayannakidis, P.D.; Kwon, Y.; Lee, C.M.; Seeram, N.P. Seasonal variation of phenolic antioxidant-mediated α-glucosidase inhibition of Ascophyllum nodosum. Plant. Foods Hum. Nutr. 2011, 66, 313–319. [Google Scholar] [CrossRef]
  63. Kim, Y.; Wang, M.; Rhee, H. A novel α-glucosidase inhibitor from pine bark. Carbohydr. Res. 2004, 339, 715–717. [Google Scholar] [CrossRef] [PubMed]
  64. Roy, M.; Anguenot, R.; Fillion, C.; Beaulieu, M.; Bérubé, J.; Richard, D. Effect of a commercially-available algal phlorotannins extract on digestive enzymes and carbohydrate absorption in vivo. Food Res. Int. 2011, 44, 3026–3029. [Google Scholar] [CrossRef]
  65. Munekata, P.E.; Pateiro, M.; Barba, F.J.; Dominguéz, R.; Gagaoua, M.; Lorenzo, J.M. Development of New Food and Pharmaceutical Products: Nutraceuticals and Food Additives. In Advances in Food and Nutrition Research; Elsevier: Amsterdam, The Netherlands, 2020; Volume 92, pp. 53–96. [Google Scholar]
  66. Chin, Y.X.; Lim, P.E.; Maggs, C.A.; Phang, S.M.; Sharifuddin, Y.; Green, B.D. Anti-diabetic potential of selected Malaysian seaweeds. J. Appl. Phycol. 2015, 27, 2137–2148. [Google Scholar] [CrossRef]
  67. Alonso, I.P.; Sánchez, Y.A.; Almeida, F.; Tresanco, M.E.V.; Méndez, L.R.; Hernández-Zanuy, A.; Pacheco, M.C.; Sánchez, B.; Charli, J.L. Marine and coastal organisms: A source of biomedically relevant dipeptidyl peptidase IV inhibitors. Rev. Cuba. Cienc. Biol. 2020, 8, 1–16. [Google Scholar]
  68. Gupta, R.; Walunj, S.S.; Tokala, R.K.; Parsa, K.V.; Singh, S.K.; Pal, M. Emerging drug candidates of dipeptidyl peptidase IV (DPP IV) inhibitor class for the treatment of type 2 diabetes. Curr. Drug Targets 2009, 10, 71–87. [Google Scholar] [CrossRef] [PubMed]
  69. Hanssen, N.M.; Jandeleit-Dahm, K.A. Dipeptidyl peptidase-4 inhibitors and cardiovascular and renal disease in type 2 diabetes: What have we learned from the CARMELINA trial? Diabetes Vasc. Dis. Res. 2019, 16, 303–309. [Google Scholar] [CrossRef]
  70. Lambeir, A.; Durinx, C.; Scharpé, S.; De Meester, I. Dipeptidyl-peptidase IV from bench to bedside: An update on structural properties, functions and clinical aspects of the enzyme DPP IV. Crit. Rev. Clin. Lab. Sci. 2003, 40, 209–294. [Google Scholar] [CrossRef]
  71. Mentlein, R. Dipeptidyl-peptidase IV (CD26)-role in the inactivation of regulatory peptides. Regul. Pept. 1999, 85, 9–24. [Google Scholar] [CrossRef]
  72. Tarantola, E.; Bertone, V.; Milanesi, G.; Capelli, E.; Ferrigno, A.; Neri, D.; Vairetti, M.; Barni, S.; Freitas, I. Dipeptidylpeptidase-IV, a key enzyme for the degradation of incretins and neuropeptides: Activity and expression in the liver of lean and obese rats. Eur. J. Histochem. EJH 2012, 56. [Google Scholar] [CrossRef]
  73. Barnett, A.H. The incretin system and type 2 diabetes. Diabetes Manag. 2009, 57–62. [Google Scholar] [CrossRef][Green Version]
  74. Ahrén, B. DPP-4 inhibitors. Insulin 2009, 4, 15–31. [Google Scholar] [CrossRef]
  75. Garber, A.J. Incretin effects on β-cell function, replication and mass: The human perspective. Diabetes Care 2011, 34, S258–S263. [Google Scholar] [CrossRef] [PubMed]
  76. Khan, M.A.; Deaton, C.; Rutter, M.K.; Neyses, L.; Mamas, M.A. Incretins as a novel therapeutic strategy in patients with diabetes and heart failure. Heart Fail. Rev. 2013, 18, 141–148. [Google Scholar] [CrossRef] [PubMed]
  77. Sutherland, J.P.; McKinley, B.; Eckel, R.H. The metabolic syndrome and inflammation. Metab. Syndr. Relat. Disord. 2004, 2, 82–104. [Google Scholar] [CrossRef] [PubMed]
  78. Hotamisligil, G.S. Inflammation and metabolic disorders. Nature 2006, 444, 860–867. [Google Scholar] [CrossRef]
  79. Klöting, N.; Blüher, M. Adipocyte dysfunction, inflammation and metabolic syndrome. Rev. Endocr. Metab. Disord. 2014, 15, 277–287. [Google Scholar] [CrossRef]
  80. Welsh, P.; Polisecki, E.; Robertson, M.; Jahn, S.; Buckley, B.M.; de Craen, A.J.; Ford, I.; Jukema, J.W.; Macfarlane, P.W.; Packard, C.J. Unraveling the directional link between adiposity and inflammation: A bidirectional Mendelian randomization approach. J. Clin. Endocrinol. Metab. 2010, 95, 93–99. [Google Scholar] [CrossRef]
  81. You, L.; Gong, Y.; Li, L.; Hu, X.; Brennan, C.; Kulikouskaya, V. Beneficial effects of three brown seaweed polysaccharides on gut microbiota and their structural characteristics: An overview. Int. J. Food Sci. Technol. 2020, 55, 1199–1206. [Google Scholar] [CrossRef]
  82. Brahe, L.K.; Le Chatelier, E.; Prifti, E.; Pons, N.; Kennedy, S.; Hansen, T.; Pedersen, O.; Astrup, A.; Ehrlich, S.D.; Larsen, L.H. Specific gut microbiota features and metabolic markers in postmenopausal women with obesity. Nutr. Diabetes 2015, 5, e159. [Google Scholar] [CrossRef]
  83. Dao, M.C.; Everard, A.; Aron-Wisnewsky, J.; Sokolovska, N.; Prifti, E.; Verger, E.O.; Kayser, B.D.; Levenez, F.; Chilloux, J.; Hoyles, L. Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: Relationship with gut microbiome richness and ecology. Gut 2016, 65, 426–436. [Google Scholar] [CrossRef]
  84. Li, J.; Zhao, F.; Wang, Y.; Chen, J.; Tao, J.; Tian, G.; Wu, S.; Liu, W.; Cui, Q.; Geng, B. Gut microbiota dysbiosis contributes to the development of hypertension. Microbiome 2017, 5, 1–19. [Google Scholar] [CrossRef] [PubMed]
  85. Yassour, M.; Lim, M.Y.; Yun, H.S.; Tickle, T.L.; Sung, J.; Song, Y.; Lee, K.; Franzosa, E.A.; Morgan, X.C.; Gevers, D. Sub-clinical detection of gut microbial biomarkers of obesity and type 2 diabetes. Genome. Med. 2016, 8, 1–14. [Google Scholar] [CrossRef] [PubMed]
  86. Zhang, X.; Shen, D.; Fang, Z.; Jie, Z.; Qiu, X.; Zhang, C.; Chen, Y.; Ji, L. Human gut microbiota changes reveal the progression of glucose intolerance. PLoS ONE 2013, 8, e71108. [Google Scholar] [CrossRef] [PubMed]
  87. Nishitsuji, K.; Xiao, J.; Nagatomo, R.; Umemoto, H.; Morimoto, Y.; Akatsu, H.; Inoue, K.; Tsuneyama, K. Analysis of the gut microbiome and plasma short-chain fatty acid profiles in a spontaneous mouse model of metabolic syndrome. Sci. Rep. 2017, 7, 1–10. [Google Scholar]
  88. Ji-Chao, Z.; ZHANG, X. Akkermansia muciniphila: A promising target for the therapy of metabolic syndrome and related diseases. Chin. J. Nat. Med. 2019, 17, 835–841. [Google Scholar]
  89. Zhang, T.; Li, Q.; Cheng, L.; Buch, H.; Zhang, F. Akkermansia muciniphila is a promising probiotic. Microb. Biotechnol. 2019, 12, 1109–1125. [Google Scholar] [CrossRef]
  90. Shang, Q.; Song, G.; Zhang, M.; Shi, J.; Xu, C.; Hao, J.; Li, G.; Yu, G. Dietary fucoidan improves metabolic syndrome in association with increased Akkermansia population in the gut microbiota of high-fat diet-fed mice. J. Funct. Foods 2017, 28, 138–146. [Google Scholar] [CrossRef]
  91. Depommier, C.; Everard, A.; Druart, C.; Plovier, H.; Van Hul, M.; Vieira-Silva, S.; Falony, G.; Raes, J.; Maiter, D.; Delzenne, N.M. Supplementation with Akkermansia muciniphila in overweight and obese human volunteers: A proof-of-concept exploratory study. Nat. Med. 2019, 25, 1096–1103. [Google Scholar] [CrossRef]
  92. Cherry, P.; Yadav, S.; Strain, C.R.; Allsopp, P.J.; McSorley, E.M.; Ross, R.P.; Stanton, C. Prebiotics from seaweeds: An ocean of opportunity? Mar. Drugs 2019, 17, 327. [Google Scholar] [CrossRef]
  93. Lopez-Santamarina, A.; Miranda, J.M.; Mondragon, A.d.C.; Lamas, A.; Cardelle-Cobas, A.; Franco, C.M.; Cepeda, A. Potential use of marine seaweeds as prebiotics: A review. Molecules 2020, 25, 1004. [Google Scholar] [CrossRef]
  94. Parys, S.; Kehraus, S.; Pete, R.; Küpper, F.C.; Glombitza, K.; König, G.M. Seasonal variation of polyphenolics in Ascophyllum nodosum (Phaeophyceae). Eur. J. Phycol. 2009, 44, 331–338. [Google Scholar] [CrossRef]
  95. Steinberg, P.D. Biogeographical variation in brown algal polyphenolics and other secondary metabolites: Comparison between temperate Australasia and North America. Oecologia 1989, 78, 373–382. [Google Scholar] [CrossRef] [PubMed]
  96. Silva, A.F.; Abreu, H.; Silva, A.; Cardoso, S.M. Effect of Oven-Drying on the Recovery of Valuable Compounds from Ulva rigida, Gracilaria sp. and Fucus vesiculosus. Mar. Drugs 2019, 17, 90. [Google Scholar] [CrossRef] [PubMed]
  97. Susanto, E.; Fahmi, A.S.; Abe, M.; Hosokawa, M.; Miyashita, K. Lipids, fatty acids and fucoxanthin content from temperate and tropical brown seaweeds. Aquat. Procedia 2016, 7, 66–75. [Google Scholar] [CrossRef]
  98. Usman, A.; Khalid, S.; Usman, A.; Hussain, Z.; Wang, Y. Algal polysaccharides, novel application and outlook. In Algae Based Polymers, Blends and Composites; Elsevier: Cambridge, MA, USA, 2017; pp. 115–153. [Google Scholar]
  99. Pádua, D.; Rocha, E.; Gargiulo, D.; Ramos, A.A. Bioactive compounds from brown seaweeds: Phloroglucinol, fucoxanthin and fucoidan as promising therapeutic agents against breast cancer. Phytochem. Lett. 2015, 14, 91–98. [Google Scholar] [CrossRef]
  100. Gupta, S.; Abu-Ghannam, N. Bioactive potential and possible health effects of edible brown seaweeds. Trends Food Sci. Technol. 2011, 22, 315–326. [Google Scholar] [CrossRef]
  101. Catarino, M.D.; Silva, A.; Cardoso, S.M. Phycochemical constituents and biological activities of Fucus spp. Mar. Drugs 2018, 16, 249. [Google Scholar] [CrossRef]
  102. Lee, S.; Karadeniz, F.; Kim, M.; Kim, S. α-Glucosidase and α-amylase inhibitory activities of phloroglucinal derivatives from edible marine brown alga, Ecklonia cava. J. Sci. Food Agric. 2009, 89, 1552–1558. [Google Scholar] [CrossRef]
  103. Sharifuddin, Y.; Chin, Y.; Lim, P.; Phang, S. Potential bioactive compounds from seaweed for diabetes management. Mar. Drugs 2015, 13, 5447–5491. [Google Scholar] [CrossRef]
  104. Cotas, J.; Leandro, A.; Monteiro, P.; Pacheco, D.; Figueirinha, A.; Gonçalves, A.M.; da Silva, G.J.; Pereira, L. Seaweed phenolics: From extraction to applications. Mar. Drugs 2020, 18, 384. [Google Scholar] [CrossRef]
  105. Shilo, S.; Hirsch, H.J. Iodine-induced hyperthyroidism in a patient with a normal thyroid gland. Postgrad Med. J. 1986, 62, 661–662. [Google Scholar] [CrossRef] [PubMed]
  106. Rocha, S.; Sousa, A.; Ribeiro, D.; Correia, C.M.; Silva, V.L.; Santos, C.M.; Silva, A.M.; Araújo, A.N.; Fernandes, E.; Freitas, M. A study towards drug discovery for the management of type 2 diabetes mellitus through inhibition of the carbohydrate-hydrolyzing enzymes α-amylase and α-glucosidase by chalcone derivatives. Food Funct. 2019, 10, 5510–5520. [Google Scholar] [CrossRef] [PubMed]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.