Evidence map›Paper›PMID 41634125›Full record

ArticleScientific reports2026

Chronic NH

Nawel Zaibi, Jessica Montaigne, Jennifer Baraka-Vidot, Judith Merrheim, Claire Devos, Emilie Caron, Florent Auger, Emmanuelle Durand, Bénédicte Toussaint, Souhila Amanzougarene and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 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

15 authors.

Nawel ZaibiInserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France. nawel.zaibi@univ-lille.fr.
Jessica MontaigneUniversité de Lille, Lille, France.
Jennifer Baraka-Vidot *Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Judith Merrheim *Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Claire Devos *Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Emilie CaronUniversité de Lille, Inserm, CHU Lille, U1172 LilNCog-Lille Neuroscience & Cognition, Lille, France.
Florent AugerUniversité de Lille, Lille, France.
Emmanuelle DurandInserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Bénédicte ToussaintInserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Souhila AmanzougareneInserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Mehdi DerhourhiInserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Philippe FroguelInserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Amélie BonnefondInserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Régine ChambreyInserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Christophe BretonInserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France. christophe.breton@univ-lille.fr.

Funding

Agence Nationale de la Recherche ANR-10-LABX-46Agence Nationale de la Recherche ANR-16-CE14-0031
6 · The paper itself

Abstract

Acute metabolic acidosis (MA), a feature mostly associated with chronic kidney disease, decreases glucose tolerance and insulin sensitivity. By contrast, the effects of chronic MA on glucose homeostasis remain elusive. Here, we evaluated glucose homeostasis and metabolic parameters in male mice exhibiting chronic MA via long-term NH

Indexed as

AcidosisAmmonium ChlorideGlucose IntoleranceInsulin ResistanceAnimalsBlood GlucoseEnergy MetabolismGluconeogenesisGlucoseGlucose Tolerance TestHomeostasisInsulinKidneyLiverMaleMiceAmmonium ChlorideBlood GlucoseGlucoseInsulinGene expressionGluconeogenesisGlucose homeostasisMetabolic parameterspH regulationRenal function

Identifiers

PMID41634125
PMCPMC12921001

What OpenQuestion holds

Textmetadata
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.