Critical review on bioactive substances from sea food and their health promoting effects
Bibliographic record
Abstract
• Marine bioactive compounds show strong antimicrobial, anticancer effects etc. • Peptides from seafoods offer potent therapeutic benefits. • Polyketides and alkaloids of seafoods show strong anticancer potential. • Chitosan and omega-3s are key marine compounds with health benefits. • Marine biodiversity is vital for new drug discoveries. Seafood is a valuable source of bioactive compounds with significant therapeutic potential, contributing to human health through diverse biological activities. These compounds, derived from marine organisms such as fish, crustaceans, mollusks, and algae, exhibit antimicrobial, anti-inflammatory, anticancer, antioxidant, neuroprotective, and immunomodulatory properties. The structural diversity of seafood-derived bioactive compounds, shaped by the unique marine environment, often provides novel pharmacological applications. This review explores key classes of bioactive substances, including peptides, polysaccharides, lipids, alkaloids, polyketides, and terpenoids. Marine-derived peptides, such as antimicrobial peptides from crustaceans, have demonstrated broad-spectrum efficacy against bacterial and viral pathogens. Additionally, bioactive peptides exhibit antihypertensive effects by inhibiting angiotensin-converting enzyme (ACE), contributing to cardiovascular health. Polysaccharides such as chitosan, extracted from crustacean shells, and sulfated glycans, derived from marine algae and invertebrates, have shown significant anticancer activity by inducing apoptosis, modulating immune responses, and inhibiting tumor growth. Marine lipids, particularly omega-3 polyunsaturated fatty acids (PUFAs) like eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), play crucial roles in cardiovascular protection, cognitive function, and inflammation regulation. Furthermore, marine alkaloids, polyketides, and terpenoids exhibit potent anticancer, anti-inflammatory, and neuroprotective properties, with some compounds advancing into clinical trials. The increasing recognition of seafood-derived bioactive compounds highlights their potential in nutraceutical and pharmaceutical applications. However, sustainable harvesting practices, innovative extraction techniques, and further clinical studies are essential for fully unlocking their therapeutic benefits. This review emphasizes the importance of marine biodiversity in drug discovery and the need for continued research to develop functional foods and novel therapeutics addressing global health challenges.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".