Evidence map›Paper›PMID 42793165›Full record

ArticleBiomolecules2026

Early-Life Stress Programs a Vulnerable Renal Phenotype Under Metabolic Challenge in a Murine Model.

Jhonatan Duque-Colorado, Bélgica Vásquez

Abstract read
In one paragraph

Article in Biomolecules, 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
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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

2 authors.

Jhonatan Duque-ColoradoDoctoral Program in Morphological Sciences, Faculty of Medicine, Universidad de La Frontera, Temuco 4780000, Chile.ORCID 0009-0002-5949-4407
Bélgica VásquezDoctoral Program in Morphological Sciences, Faculty of Medicine, Universidad de La Frontera, Temuco 4780000, Chile.ORCID 0000-0002-4106-3548

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early-life stress and post-weaning exposure to a high-fat diet (HFD) have been independently associated with renal abnormalities; however, little is known about how these stressors interact to increase renal susceptibility to subsequent metabolic challenges. Therefore, this study evaluated the effects of early-life stress induced by maternal separation (MS) and post-weaning HFD on renal structure and function in male C57BL/6 mice. Animals were subjected to MS or remained unmanipulated (UM) and were subsequently fed a control diet (CD) or HFD until postnatal day 133, generating four experimental groups: UM-CD, UM-HFD, MS-CD, and MS-HFD. Renal structure was assessed by renal mass, histological analysis of the renal corpuscle, stereological quantification of glomerular numerical density (Nv) and individual glomerular volume (IGV), whereas renal function was evaluated by diuresis. MS and HFD independently increased renal mass, altered diuresis, reduced glomerular Nv, and promoted glomerular hypertrophy. Histological analysis revealed mesangial expansion, narrowing of the capsular space, focal capillary obliteration, and glomeruloparietal synechiae, which were pronounced in the MS-HFD group. Two-way ANOVA showed independent effects on Nv and a significant interaction for IGV. Reduced Nv correlated with increased IGV and diuresis. These findings indicate that early-life stress and post-weaning HFD promote complementary mechanisms of glomerular remodeling, increasing susceptibility to metabolically induced renal injury.

Indexed as

KidneyStress, PhysiologicalStress, PsychologicalAnimalsDiet, High-FatDisease Models, AnimalFemaleKidney GlomerulusMaleMaternal DeprivationMiceMice, Inbred C57BLPhenotypeearly stressglomerular remodelinghigh-fat dietkidneykidney injurymaternal separation

Identifiers

PMID42793165
PMCPMC13604117

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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.