Evidence map›Paper›PMID 37047397›Full record

ArticleInternational journal of molecular sciences2023

Response Variability to Drug Testing in Two Models of Chemically Induced Colitis.

Roger Suau, Anna Garcia, Carla Bernal, Mariona Llaves, Katharina Schiering, Eva Jou-Ollé, Alex Pertegaz, Arce Garcia-Jaraquemada, Ramon Bartolí, Violeta Lorén and 4 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Self-Assembly of Anti-Inflammatory Peptide Amphiphiles for Mucosal Health.Chembiochem : a European journal of chemical biology · 2026
    Article
  3. Article
  4. Article
  5. Challenges and insights in detecting early inflammation in DSS-induced colitis using chemiluminescence.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2025
    Article
  6. Review
  7. 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

14 authors.

Roger SuauIBD Research Group, Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain.ORCID 0000-0003-3754-4768
Anna GarciaIBD Research Group, Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain.
Carla BernalLaboratory of Genetic Metabolic Diseases, Faculty of Biosciences, National University of San Marcos, Lima 15088, Peru.
Mariona LlavesIBD Research Group, Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain.
Katharina SchieringInstitute of Transfusion Medicine and Transplant Engineering, Hannover Medical School, 30625 Hannover, Germany.
Eva Jou-OlléIBD Research Group, Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain.ORCID 0000-0002-7303-8304
Alex PertegazIBD Research Group, Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain.
Arce Garcia-JaraquemadaIBD Research Group, Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain.
Ramon BartolíCentro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain.
Violeta LorénIBD Research Group, Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain.
Patri VergaraCentro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain.
Míriam MañosaIBD Research Group, Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain.ORCID 0000-0002-9051-2581
Eugeni DomènechIBD Research Group, Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain.ORCID 0000-0002-2315-7196
Josep ManyéIBD Research Group, Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain.

Funding

Instituto de Salud Carlos III PI18/00892Spherium Biomed 9933-IGTP proceedings
6 · The paper itself

Abstract

The lack of knowledge regarding the pathogenesis of IBD is a challenge for the development of more effective and safer therapies. Although in vivo preclinical approaches are critical for drug testing, none of the existing models accurately reproduce human IBD. Factors that influence the intra-individual response to drugs have barely been described. With this in mind, our aim was to compare the anti-inflammatory efficacy of a new molecule (MTADV) to that of corticosteroids in TNBS and DSS-induced colitis mice of both sexes in order to clarify further the response mechanism involved and the variability between sexes. The drugs were administered preventively and therapeutically, and real-time bioluminescence was performed for the in vivo time-course colitis monitoring. Morphometric data were also collected, and colonic cytokines and acute plasma phase proteins were analyzed by qRT-PCR and ELISA, respectively-bioluminescence images correlated with inflammatory markers. In the TNBS model, dexamethasone worked better in females, while MTADV improved inflammation in males. In DSS-colitis, both therapies worked similarly. Based on the molecular profiles, interaction networks were constructed to pinpoint the drivers of therapeutic response that were highly dependent on the sex. In conclusion, our results suggest the importance of considering sex in IBD preclinical drug screening.

Indexed as

ColitisInflammatory Bowel DiseasesAnimalsDextran SulfateDisease Models, AnimalFemaleHumansMaleMiceTrinitrobenzenesulfonic AcidDextran SulfateTrinitrobenzenesulfonic AcidbioluminescenceCrohn’s diseaseDSS-induced colitisinflammationinflammatory bowel diseasesexTNBS-induced colitisulcerative colitis

Identifiers

PMID37047397
PMCPMC10094987

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.