Evidence map›Paper›PMID 30560372›Full record

ReviewInflammation research : official journal of the European Histamine Research Society ... [et al.]2019

Antiinflammatory peptides: current knowledge and promising prospects.

Maryam Dadar, Youcef Shahali, Sandip Chakraborty, Minakshi Prasad, Fatemeh Tahoori, Ruchi Tiwari, Kuldeep Dhama

Abstract readReview
PubMed Publisher
In one paragraph

Review in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Molecules (Basel, Switzerland) · 2025
    Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Developing anACS pharmacology & translational science · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Milk Thistle (Current medicinal chemistry · 2025
    Review
  16. Review
  17. Review
  18. Article
  19. Anti-inflammatory peptide therapeutics and the role of sulphur containing amino acids (cysteine and methionine) in inflammation suppression: A review.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
    Review
  20. Review
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

7 authors at 5 institutions in 2 countries.

Maryam DadarRazi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran. dadar.m77@gmail.com.
Youcef ShahaliRazi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
Sandip ChakrabortyDepartment of Veterinary Microbiology, College of Veterinary Sciences and Animal Husbandry, R.K. Nagar, West Tripura, India.
Minakshi PrasadDepartment of Animal Biotechnology, LLR University of Veterinary and Animal Sciences, Hisar, Haryana, 125004, India.
Fatemeh TahooriRazi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
Ruchi TiwariDepartment of Veterinary Microbiology and Immunology, College of Veterinary Sciences, UP Pandit Deen Dayal Upadhayay Pashu Chikitsa Vigyan Vishwavidyalay Evum Go-Anusandhan Sansthan, Mathura, Uttar Pradesh, India.
Kuldeep DhamaDivision of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, India.
Razi Vaccine and Serum Research Institute · IRAgricultural Research & Education Organization · IRIndian Veterinary Research Institute · INLala Lajpat Rai University of Veterinary and Animal Sciences · INUttar Pradesh Pandit Deen Dayal Upadhyaya Pashu Chikitsa Vigyan Vishwavidyalaya Evam Go-Anusandhan Sansthan · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammation is part of the regular host reaction to injury or infection caused by toxic factors, pathogens, damaged cells, irritants, and allergens. Antiinflammatory peptides (AIPs) are present in all living organisms, and many peptides from herbal, mammalian, bacterial, and marine origins have been shown to have antimicrobial and/or antiinflammatory properties.

methodsIn this study, we investigated the effects of antiinflammatory peptides on inflammation, and highlighted the underlying mechanisms responsible for these effects.

resultsIn multicellular organisms, including humans, AIPs constitute an essential part of their immune system. In addition, numerous natural and synthetic AIPs are effective immunomodulators and can interfere with signal transduction pathways involved in inflammatory cytokine expression. Among them, some peptides such as antiflammin, N-acetyl-seryl-aspartyl-lysyl-proline (Ac-SDKP), and those derived from velvet antler proteins, bee venom, horse fly salivary gland, and bovine β-casein have received considerable attention over the past few years.

conclusionThis article presents an overview on the major properties and mechanisms of action associated with AIPs as immunomodulatory, chemotactic, antioxidant, and antimicrobial agents. In addition, the results of various studies dealing with effects of AIPs on numerous classical models of inflammation are reviewed and discussed.

Indexed as

AnimalsAnti-Inflammatory AgentsHumansImmune SystemInflammationPeptidesAnti-Inflammatory AgentsPeptidesAntiinflammatory peptidesDiseaseHealthInflammationTherapeutics

Identifiers

PMID30560372
OpenAlexW2904752347

What OpenQuestion holds

Textmetadata
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.