Evidence map›Paper›PMID 42169777›Full record

ArticleFrontiers in microbiology2026

Proteomic and metabolomic profiling of methicillin-resistant

Syrine Boucherabine, Alexander D Giddey, Rania Nassar, Lobna Mohamed, Subham Verma, Nelson C Soares, Abiola Senok

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. 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

7 authors.

Syrine BoucherabineCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Alexander D GiddeyCenter for Applied and Translational Genomics, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Rania NassarCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Lobna MohamedCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Subham VermaCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Nelson C SoaresCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Abiola SenokCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Understanding the behavioral differences between invasive and non-invasive methicillin-resistant Methods: Invasive isolates were obtained from blood cultures ( Results: Across all isolates, 2,000 proteins and 150 metabolites were identified. Comparative analysis revealed that invasive isolates exhibited consistently higher levels of two metabolites (sphinganine and phosphoserine) and one protein (staphylococcal secretory antigen SsaA2) compared to non-invasive. In contrast, three metabolites (cytidine, benzoic acid, and guanosine) and two proteins (small ribosomal subunit protein bS20 and bifunctional autolysin) were significantly reduced in invasive isolates. These findings highlight key molecular differences underpinning invasive potential in MRSA, providing insights into candidate diagnostic and therapeutic biomarkers. These findings highlight critical biological differences between invasive and non-invasive MRSA, offering valuable insights into potential diagnostic and therapeutic biomarkers.

Indexed as

invasivemetabolomicmethicillin resistant Staphylococcus aureusMRSAnon-invasiveproteomics

Identifiers

PMID42169777
PMCPMC13188211

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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.