Evidence map›Paper›PMID 42188293›Full record

ArticleMarine drugs2026

Identification of Antioxidant and Anti-Inflammatory Activity of Sea Cucumber (

Laura La Paglia, Mirella Vazzana, Manuela Mauro, Francesca Dumas, Alfonso Urso, Sugár Simon, Laszlo Drahos, Aiti Vizzini

Abstract read
In one paragraph

Article in Marine drugs, 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

8 authors.

Laura La PagliaIstituto di Calcolo e Reti ad Alte Prestazioni, Consiglio Nazionale delle Ricerche, Via Ugo La Malfa 153, 90146 Palermo, Italy.ORCID 0000-0002-1077-5657
Mirella VazzanaDipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche, Università di Palermo, Via Archirafi 18, 90100 Palermo, Italy.ORCID 0000-0001-6437-9409
Manuela MauroDipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche, Università di Palermo, Via Archirafi 18, 90100 Palermo, Italy.ORCID 0000-0003-1363-1381
Francesca DumasDipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche, Università di Palermo, Via Archirafi 18, 90100 Palermo, Italy.ORCID 0000-0001-7570-7578
Alfonso UrsoIstituto di Calcolo e Reti ad Alte Prestazioni, Consiglio Nazionale delle Ricerche, Via Ugo La Malfa 153, 90146 Palermo, Italy.
Sugár SimonHUN-REN Research Centre for Natural Sciences, MS Proteomics Research Group, Magyar Tudósok Körútja 2, H-1117 Budapest, Hungary.ORCID 0000-0001-9728-5732
Laszlo DrahosHUN-REN Research Centre for Natural Sciences, MS Proteomics Research Group, Magyar Tudósok Körútja 2, H-1117 Budapest, Hungary.ORCID 0000-0001-9589-6652
Aiti VizziniDipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche, Università di Palermo, Via Archirafi 18, 90100 Palermo, Italy.ORCID 0000-0002-0786-7294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammatory signaling and oxidative stress machinery are interconnected and play roles in apoptosis, proliferation, redox state control, and the progression of many diseases, including cancer. The marine environment harbors a wealth of organisms that produce a wide variety of bioactive molecules with significant biological activities. Over the last decade, the advent of AI-driven approaches has enhanced the study and analysis of peptides, helping to reduce costly and time-consuming conventional laboratory testing, validation, and synthetic procedures.

methodsIn this study, we predicted the antioxidative and anti-inflammatory activities of peptides isolated from proteomic data obtained from circulating cells and humoral components of the sea cucumber defense system using a bioinformatic workflow based on different artificial intelligence tools.

resultsWe identified 40 top-ranked peptides with antioxidative and anti-inflammatory activity and a sub-class of eight peptides shared by FreD domains. Molecular docking and molecular dynamics simulations showed that they have active binding sites for different key molecules involved in inflammatory and oxidative processes.

conclusionsThe results showed that the peptides highlighted by our analysis workflow can be identified as potential molecules used as therapeutic strategies for diseases by targeting both inflammatory and oxidative processes.

Indexed as

Anti-Inflammatory AgentsAntioxidantsHolothuriaPeptidesSea CucumbersAnimalsComputational BiologyHumansMolecular Docking SimulationMolecular Dynamics SimulationOxidative StressProteomicsAnti-Inflammatory AgentsAntioxidantsPeptidesartificial intelligencebioinformaticsechinodermsinflammationoxidationpeptidesproteomics

Identifiers

PMID42188293
PMCPMC13208588

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.