Evidence map›Paper›PMID 40333157›Full record

ArticlePathogens (Basel, Switzerland)2025

Blood Transcriptome Profiling Highlights the Role of Intestinal Bacterial Translocation in Severe COVID-19.

Dimitrios Christos Tremoulis, Gethsimani Papadopoulou, Vasiliki Pogka, Aikaterini Argyraki, Giota Lourida, Andreas Mentis, Timokratis Karamitros

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 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

7 authors.

Dimitrios Christos TremoulisBioinformatics and Applied Genomics Unit, Department of Microbiology, Hellenic Pasteur Institute, Vasilissis Sofias 127, 11521 Athens, Greece.ORCID 0009-0003-8800-1701
Gethsimani PapadopoulouBioinformatics and Applied Genomics Unit, Department of Microbiology, Hellenic Pasteur Institute, Vasilissis Sofias 127, 11521 Athens, Greece.
Vasiliki PogkaBioinformatics and Applied Genomics Unit, Department of Microbiology, Hellenic Pasteur Institute, Vasilissis Sofias 127, 11521 Athens, Greece.ORCID 0000-0002-1543-2418
Aikaterini ArgyrakiInfectious Diseases Clinic A, Sotiria Chest Diseases Hospital, Mesogion 152, 11527 Athens, Greece.ORCID 0000-0002-9095-7724
Giota LouridaInfectious Diseases Clinic A, Sotiria Chest Diseases Hospital, Mesogion 152, 11527 Athens, Greece.ORCID 0000-0002-1734-2109
Andreas MentisLaboratory of Medical Microbiology, Department of Microbiology, Hellenic Pasteur Institute, 11521 Athens, Greece.
Timokratis KaramitrosBioinformatics and Applied Genomics Unit, Department of Microbiology, Hellenic Pasteur Institute, Vasilissis Sofias 127, 11521 Athens, Greece.ORCID 0000-0003-0841-9159

Funding

General Secretariat for Research and Innovation 2020ΣΕ01300001
6 · The paper itself

Abstract

COVID-19 has caused millions of deaths globally; however, the characterization of molecular biomarkers of severe disease remains of great scientific importance. The aim of this study was to capture the transcriptional differences of the whole blood gene expression between COVID-19 patients with mild and severe disease, using Next Generation Sequencing technologies, on admission and after 7 days. The genes which were differentially expressed in severe compared to mild patients were used for Gene Ontology (GO) enrichment analysis. Gene expression data were used to estimate the cell abundance of 22 immune cell types via digital cytometry. GO terms related to the response to molecules of bacterial origin, such as intestine-derived lipopolysaccharide (LPS), were enriched, among other dysregulated pathways, which are well described as paramount mechanisms of severe manifestations of COVID-19. The neutrophil population increased in patients with severe disease, whereas the monocyte, CD8

Indexed as

Bacterial TranslocationCOVID-19TranscriptomeAdultAgedFemaleGastrointestinal MicrobiomeGene Expression ProfilingHumansMaleMiddle AgedSARS-CoV-2Severity of Illness Indexbacterial translocationCOVID-19disease severityLPStranscriptomics

Identifiers

PMID40333157
PMCPMC12030260

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.