Evidence map›Paper›PMID 41459492›Full record

ArticleFrontiers in immunology2025

Deep learning, deeper relief: pipeline toward tailored analgesia for experimental animal models.

Luisa Barleben, Mareike Simon, Lisa Drees, Franziska Flohr, Christoph Jochum, Michela Di Virgilio, Frank Tacke, Sonja Bröer, Jana Wolf, Marina Kolesnichenko

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Luisa BarlebenCharité- Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Department of Hepatology and Gastroenterology, Berlin, Germany.
Mareike SimonMathematical Modelling of Cellular Processes, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Lisa DreesCharité- Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Department of Hepatology and Gastroenterology, Berlin, Germany.
Franziska FlohrCharité- Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Department of Hepatology and Gastroenterology, Berlin, Germany.
Christoph JochumCharité- Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Department of Hepatology and Gastroenterology, Berlin, Germany.
Michela Di VirgilioLaboratory of Genome Diversification and Integrity, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Frank TackeCharité- Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Department of Hepatology and Gastroenterology, Berlin, Germany.
Sonja BröerInstitute of Pharmacology and Toxicology, School of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.
Jana WolfMathematical Modelling of Cellular Processes, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Marina KolesnichenkoCharité- Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Department of Hepatology and Gastroenterology, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective pain management in animal models is crucial for maintaining ethical and scientific integrity. However, commonly used analgesics may affect immune responses and disturb signaling pathways, thereby potentially confounding the experimental outcomes. In mouse colitis models, opioids and non-steroidal anti-inflammatory drugs have been shown to interfere with the immune response and the activation of the central regulator of inflammation, the transcription factor nuclear factor kappa B (NF-κB). Here, we propose a tailored pipeline for the identification and the validation of analgesics with minimal off-target effects. This approach combines protein-centered relation extraction using deep language models and distant supervision via the Protein-Centered Association Extraction with Deep Language (PEDL

Indexed as

AnalgesiaAnalgesicsColitisDeep LearningAnimalsDisease Models, AnimalMiceMice, Inbred C57BLNF-kappa BSignal TransductionAnalgesicsNF-kappa Bamantadineanalgesiacolitisdeep languageNF-κB signaling

Identifiers

PMID41459492
PMCPMC12741108

What OpenQuestion holds

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LicenceCC BY
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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.