Evidence map›Paper›PMID 35363108›Full record

ReviewThe veterinary quarterly2022

Antioxidant effects of seaweeds and their active compounds on animal health and production - a review.

Izabela Michalak, Ruchi Tiwari, Manish Dhawan, Mahmoud Alagawany, Mayada R Farag, Khan Sharun, Talha Bin Emran, Kuldeep Dhama

Open access · goldAbstract readReview
In one paragraph

Review in The veterinary quarterly, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
25.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 120 citations in OpenAlex.

  1. Article
  2. From Sea to Cell:Marine drugs · 2026
    Article
  3. ComparativeVeterinary world · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Application of the brown macroalgaAnimal nutrition (Zhongguo xu mu shou yi xue hui) · 2024
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 5 countries.

Izabela MichalakFaculty of Chemistry, Department of Advanced Material Technologies, Wrocław University of Science and Technology, Wrocław, Poland.ORCID 0000-0002-0223-4279
Ruchi TiwariDepartment of Veterinary Microbiology and Immunology, College of Veterinary Sciences, Uttar Pradesh Pandit Deen Dayal Upadhyaya Pashu Chikitsa Vigyan Vishwavidyalaya Evam Go Anusandhan Sansthan (DUVASU), Mathura, India.ORCID 0000-0001-7763-5547
Manish DhawanDepartment of Microbiology, Punjab Agricultural University, Ludhiana, India.ORCID 0000-0002-7783-7138
Mahmoud AlagawanyPoultry Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt.ORCID 0000-0002-8020-0971
Mayada R FaragForensic Medicine and Toxicology Department, Veterinary Medicine Faculty, Zagazig University, Zagazig, Egypt.
Khan SharunDivision of Surgery, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India.ORCID 0000-0003-1040-3746
Talha Bin EmranDepartment of Pharmacy, BGC Trust University Bangladesh, Chittagong, Bangladesh.ORCID 0000-0003-3188-2272
Kuldeep DhamaDivision of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India.ORCID 0000-0001-7469-4752
Indian Veterinary Research Institute · INZagazig University · EGBGC Trust University Bangladesh · BDTrafford College · GBUttar Pradesh Pandit Deen Dayal Upadhyaya Pashu Chikitsa Vigyan Vishwavidyalaya Evam Go-Anusandhan Sansthan · INWrocław University of Science and Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural antioxidants applied as feed additives can improve not only animals' health and overall performance but also increase their resistance to environmental stress such as heat stress, bad housing conditions, diseases, etc. Marine organisms, for example seaweeds - red, brown, and green macroalgae contain a plethora of biologically active substances, including phenolic compounds, polysaccharides, pigments, vitamins, micro- and macroelements, and proteins known for their antioxidant activity, which can help in the maintenance of appropriate redox status in animals and show pleiotropic effects for enhancing good health, and productivity. The dysregulated production of free radicals is a marked characteristic of several clinical conditions, and antioxidant machinery plays a pivotal role in scavenging the excessive free radicals, thereby preventing and treating infections in animals. Supplementation of seaweeds to animal diet can boost antioxidant activity, immunity, and the gut environment. Dietary supplementation of seaweeds can also enhance meat quality due to the deposition of marine-derived antioxidant components in muscles. The use of natural antioxidants in the meat industry is a practical approach to minimize or prevent lipid oxidation. However, overconsumption of seaweeds, especially brown macroalgae, should be avoided because of their high iodine content. An important point to consider when including seaweeds in animal feed is their variable composition which depends on the species, habitat, location, harvest time, growing conditions such as nutrient concentration in water, light intensity, temperature, etc. This review highlights the beneficial applications of seaweeds and their extracted compounds, which have antioxidant properties as feed additives and impact animal health and production.

Indexed as

AntioxidantsSeaweedAnimalsMeatAntioxidantsanimal productionantioxidantsdiseaseshealthpolysaccharidesSeaweeds

Identifiers

PMID35363108
PMCPMC9004519
OpenAlexW4221122962

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.