Evidence map›Paper›PMID 40225299›Full record

ReviewIranian journal of biotechnology2024

Recombinant Antimicrobial Peptides (rAMPs); Potential Applications in Medicine and Veterinary Medicine: A Review.

Amir Asghari Baghkheirati, Reza Golmohammadi, Mohammad Hadi Sekhavati, Jamshid Razmyar, Mohammad Ali Abyazi

Abstract readReview
In one paragraph

Review in Iranian journal of biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Amir Asghari BaghkheiratiStudent Research Committee, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Reza GolmohammadiBaqiyatallah Research Center for Gastroenterology and Liver Diseases (BRCGL), Clinical Sciences Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Mohammad Hadi SekhavatiDepartment of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.
Jamshid RazmyarDepartment of Avian Health and Diseases, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
Mohammad Ali AbyaziBaqiyatallah Research Center for Gastroenterology and Liver Diseases (BRCGL), Clinical Sciences Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance has become a major public health concern worldwide. Treatment of humans and animals is becoming increasingly challenging due to antibiotic resistance. Antibiotic-resistant bacteria can be transmitted from animals to humans by several routes, including direct contact, contaminated food or water, or environmental exposure. Various factors contribute to the rising problem, such as the widespread and indiscriminate exploitation of antimicrobials in both human and animal healthcare, over-prescription, misuse of antibiotics, the role of agriculture in spreading antibiotic resistance, and poor animal husbandry practices. According to the preliminary findings, recombinant antimicrobial peptides are an interesting novel area of biotechnology and medical innovation that might be employed as a secure and effective substitute for antibiotics. In this review study, we briefly examine the factors contributing to the rise of antibiotic resistance. We then introduce and discuss recombinant antimicrobial peptides as a promising strategy to address this growing problem.

Indexed as

Antibiotic resistanceAntimicrobial peptidesRecombinantVeterinary medicine

Identifiers

PMID40225299
PMCPMC11993234

What OpenQuestion holds

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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.