Evidence map›Paper›PMID 42090420›Full record

ReviewBioMed research international2026

Multiomics Approaches for Bacteriophage-Based Biocontrol Applications: A Review of Metabolomics, Transcriptomics, and Proteomics.

Daniel Jesuwenu Ajose, Collins Njie Ateba

Abstract readReview
In one paragraph

Review in BioMed research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Daniel Jesuwenu AjoseSchool of Biology and Environmental Sciences, Faculty of Agriculture and Natural Sciences, University of Mpumalanga, Mbombela, South Africa, ump.ac.za.ORCID https://orcid.org/0000-0001-8347-7258
Collins Njie AtebaSchool of Biology and Environmental Sciences, Faculty of Agriculture and Natural Sciences, University of Mpumalanga, Mbombela, South Africa, ump.ac.za.ORCID https://orcid.org/0000-0003-1230-5138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of multidrug-resistant (MDR) in various microorganisms due to prolonged antibiotic treatment poses a growing worldwide health issue. It is essential to identify alternative, effective methods to address MDR bacterial diseases, as treating infections caused by these pathogens can be challenging. Bacteriophages, also known as phages, are viruses that target and destroy bacteria. They are being investigated and utilized as alternatives to existing therapies because of their effectiveness and specificity. Phages are often considered safe substitutes for antibiotics because they naturally occur in the environment. Phage replacement therapy involves complex biological processes driven by interactions between phages and bacteria. An integrative approach is essential for a comprehensive analysis of these processes and for understanding the relationships between different biomolecules and their functions. This includes combining data from various omics, such as transcriptomics, proteomics, and metabolomics. High-throughput technology has revolutionised research, enabling the development of numerous tools and methods for integrating and interpreting multiomics data from diverse samples. This paper presents an overview of omics technologies and highlights strategies for integrating them across layers. By comparing data from multiomics and single-omics studies, a deeper understanding of the information flow underlying phage therapy will be gained.

Indexed as

BacteriophagesMetabolomicsPhage TherapyProteomicsTranscriptomeBacteriaHumansMultiomicsantibioticsbacteria–phage interactiondrug resistancemultiomicsnext-generation sequencingphage therapy

Identifiers

PMID42090420
PMCPMC13148639

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.