Evidence map›Paper›PMID 42017045›Full record

ArticleNeurobiology of stress2026

Comparative analysis of multiple chronic unpredictable mild stress paradigms in mice: Behavioural and physiological validity.

Ines Erkizia-Santamaría, Luna Fernández, Igor Horrillo, J Javier Meana, Jorge E Ortega

Abstract read
In one paragraph

Article in Neurobiology of stress, 2026. 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

5 authors.

Ines Erkizia-SantamaríaDepartment of Pharmacology, University of the Basque Country EHU, Leioa, Bizkaia, Spain.
Luna FernándezDepartment of Pharmacology, University of the Basque Country EHU, Leioa, Bizkaia, Spain.
Igor HorrilloDepartment of Pharmacology, University of the Basque Country EHU, Leioa, Bizkaia, Spain.
J Javier MeanaDepartment of Pharmacology, University of the Basque Country EHU, Leioa, Bizkaia, Spain.
Jorge E OrtegaDepartment of Pharmacology, University of the Basque Country EHU, Leioa, Bizkaia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The chronic unpredictable mild stress (CUMS) paradigm is one of the most widely used preclinical models to investigate the role of stress in the neurobiology of depression and to evaluate potential antidepressant therapies, owing to its strong translational relevance. However, despite its extensive use, substantial discrepancies and concerns regarding the reproducibility of CUMS outcomes persist in the literature, with many studies reporting inconsistent or unreliable results. In the present comparative study, we implemented several CUMS protocols in mice that differed in the intensity and duration of stress exposure, and systematically evaluated the resulting pathophysiological and behavioural alterations associated with depressive- and anxiety-like phenotypes. We found that progressive escalation in stress intensity and frequency, as well as prolonged exposure, induced increasingly robust disease-related behavioural and physiological changes, including depression- and anxiety-like behaviours, adrenal hypertrophy, and reduced body weight gain. Moreover, social isolation emerged as a major contributing factor exacerbating stress-induced deficits. Altogether, the data suggest that a multidimensional assessment of behavioural impairments is necessary to accurately interpret the physiological changes that are indicative of a hyperactive hypothalamic-pituitary-adrenal (HPA) axis. Differences in individual stress susceptibility, stressor intensity, frequency, and housing conditions are key determinants of CUMS outcomes. Therefore, precise, detailed, and transparent reporting of protocol parameters is critical to enhance reproducibility and enable meaningful comparisons across studies.

Indexed as

AnxietyChronic stressChronic unpredictable mild stressDepressionDepression-like model

Identifiers

PMID42017045
PMCPMC13092844

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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.