Evidence map›Paper›PMID 40275124›Full record

ArticleBMC microbiology2025

Gram-negative bacteria activate cellular pathways in plaque microenvironment; Systems biology approach.

Reza Ganjali, Mohammad Elahimanesh, Hamidreza Aghazadeh, Mohammad Najafi

Abstract read
In one paragraph

Article in BMC microbiology, 2025. 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

4 authors.

Reza GanjaliClinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.
Mohammad ElahimaneshClinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.
Hamidreza AghazadehIslamic Azad University, Tehran Medical Branch, Tehran, Iran.
Mohammad NajafiClinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran. nbsmmsbn@iums.ac.ir.ORCID http://orcid.org/0000-0002-0622-4174

Funding

Iran University of Medical Sciences 30410
6 · The paper itself

Abstract

backgroundInflammatory events followed by bacterial infections are related to the progression of the atherosclerosis process. The study investigated the signaling and metabolic pathways of endothelial cells (ECs), macrophages (MQs), vascular smooth muscle cells (VSMCs), and dendritic cells (DCs) after exposure to Gram-negative bacterial infections. Moreover, it aimed at cross-talking and enriching the pathways on the cellular and plaque networks. METHODS AND MATERIALS: High-throughput expression data series (n = 9) were selected through GEO and MAT data repositories. Upregulated differential expression genes (DEGs) were determined using R software and applied to identify the cellular signaling pathways using Enricher/Reactome tools. Then, the cell networks were visualized using the Cytoscape software and enriched by the pathways of secretory proteins identified using Gene ontology (GO).

resultsThe important pathways of the Cytokines (Degree 4, p < 6 × 10

conclusionThe study revealed the signaling pathways after exposure to Gram-negative bacterial infections on the cell networks in the vessel microenvironment. Furthermore, the cell cross-talks exacerbated these pathways in cells and unstable plaques. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Cellular MicroenvironmentGram-Negative BacteriaGram-Negative Bacterial InfectionsPlaque, AtheroscleroticSystems BiologyAtherosclerosisCytokinesDendritic CellsEndothelial CellsHumansMacrophagesMuscle, Smooth, VascularMyocytes, Smooth MuscleSignal TransductionCytokinesChlamydia pneumoniaeNetworkPathwayPlaquePorphyromonas gingivalisVessel microenvironment

Identifiers

PMID40275124
PMCPMC12020080

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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.