Evidence map›Paper›PMID 38837580›Full record

ReviewJournal of cellular and molecular medicine2024

The use of phages for the biosynthesis of metal nanoparticles and their biological applications: A review.

Seyed Soheil Hosseininasab, Mahin Naderifar, Majid Reza Akbarizadeh, Mohammadjavad Rahimzadeh, Simin Soltaninejad, Zohre Makarem, Naghmeh Satarzadeh, Amin Sadeghi Dousari

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Seyed Soheil HosseininasabFaculty of Pharmacy, Kerman University of Medical Sciences, Kerman, Iran.
Mahin NaderifarSchool of Nursing & Midwifery, Zabol University of Medical Sciences, Zabol, Iran.
Majid Reza AkbarizadehSchool of Medicine, Zabol University of Medical Sciences, Zabol, Iran.
Mohammadjavad RahimzadehSchool of Nursing & Midwifery, Bam University of Medical Sciences, Bam, Iran.
Simin SoltaninejadSchool of Medicine, Kerman University of Medical Sciences, Kerman, Iran.
Zohre MakaremNoncommunicable Diseases Research Center, Bam University of Medical Sciences, Bam, Iran.
Naghmeh SatarzadehDepartment of Pharmaceutical Biotechnology, Faculty of Pharmacy, Kerman University of Medical Sciences, Kerman, Iran.
Amin Sadeghi DousariMedical Mycology and Bacteriology Research Center, Kerman University of Medical Sciences, Kerman, Iran.ORCID 0000-0002-8753-9599

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, the use of biological methods of synthesis of nanoparticles as substitutes for methods that use high energy and consumption of expensive and dangerous materials is of interest to researchers all over the world. Biological methods of synthesising metal nanoparticles are very important because they are easy, affordable, safe, environmentally friendly and able to control the size and shape of nanoparticles. One of the methods that is of interest today is the use of bacteriophages as the most abundant organisms in nature in the synthesis of metal nanoparticles. Nanomaterials biosynthesized from phages have shown various clinical applications, including antimicrobial activities, biomedical sensors, drug and gene delivery systems, cancer treatment and tissue regeneration. Therefore, the purpose of this review is to investigate the biosynthesis of metal nanoparticles with phages and their biomedical applications.

Indexed as

BacteriophagesMetal NanoparticlesDrug Delivery Systemsbiological applicationsbiosynthesismetal nanoparticlesphage

Identifiers

PMID38837580
PMCPMC11149492

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Registered trials

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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.