Evidence map›Paper›PMID 30046316›Full record

ReviewIranian journal of veterinary research2018

Epidermal mucus, a major determinant in fish health: a review.

S Dash, S K Das, J Samal, H N Thatoi

Open access · greenAbstract readReview
In one paragraph

Review in Iranian journal of veterinary research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

88 citing papers in PubMed, 223 citations in OpenAlex.

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28 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

S DashDepartment of Biotechnology, College of Engineering and Technology, Biju Patnaik University of Technology, Bhubaneswar, Odisha-751003, India.
S K DasDepartment of Biotechnology, College of Engineering and Technology, Biju Patnaik University of Technology, Bhubaneswar, Odisha-751003, India.
J SamalPh.D. Student, Network of Excellence for Functional Biomaterials, National University of Ireland, Galway, Ireland.
H N ThatoiDepartment of Biotechnology, North Orissa University, Baripada, Odisha-757003, India.
Biju Patnaik University of Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fish epidermal mucus contains innate immune components, secreted by globlet cells that provide the primary defence against different pathogenic microbes and act as a barrier between fish and its immediate niche. The major function of mucus includes entrapment and sloughing of microbes. The mucus also contains many factors such as antimicrobial peptides (AMPs), lysozymes, lectins, proteases, etc that provide innate immunity. The AMPs secreted by epidermal mucus cells displayed antimicrobial activity against a variety of pathogens. Besides, mucosal lysozyme was found to produce significant bacteriolytic action whereas different proteases found in skin mucus of fish can kill the pathogens by cleaving its protein or by activating immunological mechanisms. Lectins are also mucosal agglutinins that play a diverse role in innate immunity like opsonization, activation of complement, etc. Epidermal mucus in fish thus provides an innate and fast acting protection which is non-specific and is found to be relatively temperature independent. The aim of the present review is to provide a broad overview of the different components of epidermal mucus including AMPs, proteases, lysozymes as well as their mode of action on pathogens.

Indexed as

Antimicrobial peptidesInnate immunityLysozymeMucusProteases

Identifiers

PMID30046316
PMCPMC6056142
OpenAlexW2884736975

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.