Evidence map›Paper›PMID 39123695›Full record

ArticleAnimals : an open access journal from MDPI2024

The Interplay of TLR-NFκB Signalling Pathway and Functional Immune-Related Enzymes in the Inflammatory Response of

Luca Bisanti, Claudia La Corte, Mariano Dara, Federica Bertini, Jacopo Vizioli, Maria Giovanna Parisi, Matteo Cammarata, Daniela Parrinello

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Redefinition of the toll-like receptor repertoire inFrontiers in cellular and infection microbiology · 2025
    Article
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.

Luca BisantiMarine Immunobiology Laboratory, Department of Earth and Marine Sciences, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0001-8213-3154
Claudia La CorteMarine Immunobiology Laboratory, Department of Earth and Marine Sciences, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0002-5816-2657
Mariano DaraMarine Immunobiology Laboratory, Department of Earth and Marine Sciences, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0002-1122-6131
Federica BertiniMarine Immunobiology Laboratory, Department of Earth and Marine Sciences, University of Palermo, 90128 Palermo, Italy.
Jacopo VizioliLaboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (Inserm U1192), Département de Biologie, Université de Lille, F-59000 Lille, France.ORCID 0000-0002-4310-8033
Maria Giovanna ParisiMarine Immunobiology Laboratory, Department of Earth and Marine Sciences, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0001-5462-0596
Matteo CammarataMarine Immunobiology Laboratory, Department of Earth and Marine Sciences, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0002-5497-1246
Daniela ParrinelloMarine Immunobiology Laboratory, Department of Earth and Marine Sciences, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0001-9224-7737

Funding

National Biodiversity Future Center Project (NBFC) 1034-17/06/2022
6 · The paper itself

Abstract

The close phylogenetic relationship between ascidians (Tunicata) and vertebrates makes them a powerful model for studying the innate immune system. To better understand the nature and dynamics of immune responses and the mechanisms through which bacterial infections are detected and translated into inflammation in

Indexed as

ascidianCiona robustainflammationinnate immunityLPS

Identifiers

PMID39123695
PMCPMC11310991

What OpenQuestion 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 OpenQuestion graph.