Evidence map›Paper›PMID 42399494›Full record

ArticleDiabetologia2026

Unhealthy fat distribution as a sex-specific predictor of declining hippocampus insulin sensitivity.

Leontine Sandforth, Ralf Veit, Jürgen Machann, Corinna Dannecker, Gregor Miller, Marina Jiménez-Muñoz, Andreas Peter, Reiner Jumpertz von Schwartzenberg, Andreas Fritsche, Martin Heni and 3 more

Abstract read
In one paragraph

Article in Diabetologia, 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

13 authors.

Leontine SandforthInternal Medicine IV, Department of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany. leontine.sandforth@med.uni-tuebingen.de.ORCID http://orcid.org/0009-0005-7136-6397
Ralf VeitInstitute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0001-9860-642X
Jürgen MachannInstitute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-4458-5886
Corinna DanneckerInternal Medicine IV, Department of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0001-5689-9084
Gregor MillerCore Facility Statistical Consulting, Helmholtz Center Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-4281-4905
Marina Jiménez-MuñozCore Facility Statistical Consulting, Helmholtz Center Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-4543-2929
Andreas PeterInstitute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0001-5732-2287
Reiner Jumpertz von SchwartzenbergInternal Medicine IV, Department of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-5544-099X
Andreas FritscheInternal Medicine IV, Department of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-4987-1961
Martin HeniGerman Center for Diabetes Research (DZD), Munich-Neuherberg, Germany.ORCID http://orcid.org/0000-0002-8462-3832
Andreas L BirkenfeldInternal Medicine IV, Department of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0003-1407-9023
Hubert PreisslInternal Medicine IV, Department of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-8859-4661
Stephanie KullmannInternal Medicine IV, Department of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0001-9951-923X

Funding

German Center for Diabetes Research 01GI0925German Research Association Clinician Scientist ProgramGerman Research Foundation GRK2816Helmholtz Society and the Cluster of Excellence Controlling Microbes to Fight Infections 03.007Helmholtz Young Investigator Group VH-NG-1619
6 · The paper itself

Abstract

aims/hypothesisImpairments in peripheral glucose metabolism and reduced brain insulin sensitivity are linked to an increased risk of both metabolic and neurodegenerative diseases. Brain insulin resistance represents a shared pathological mechanism underlying these disorders. Notably, hippocampal insulin responsiveness declines with age and differs between men and women. This study aimed to identify clinically relevant metabolic predictors of hippocampal insulin sensitivity in the context of age and sex.

methodsIn 260 non-diabetic participants (165 women, mean BMI 29.7 ± 6.2 kg/m

resultsFasting plasma glucose levels predicted lower hippocampal insulin response with age independently of sex (estimate 0.533, p=0.016). Significant interactions were present between age, sex and body fat distribution (waist-to-hip ratio [WHR]: estimate 0.233, p=0.010; visceral adipose tissue [VAT]: estimate 0.007, p=0.013; intrahepatic lipid content [IHL]: estimate 0.003, p=0.010). In women, higher WHR, VAT and IHL were predictors of lower hippocampal insulin responsiveness with increasing age. These effects remained significant after adjusting for BMI. Postmenopausal women showed lower hippocampal insulin responsiveness with higher WHR and IHL (p<0.05), and women in high-risk Tübingen prediabetes clusters also showed lower hippocampal insulin responsiveness than men (sex × cluster type: estimate 0.39, p=0.02). The hippocampal insulin response did not correlate with hippocampal volume (p>0.05). CONCLUSIONS/

interpretationUnhealthy body fat distribution was a sex-dependent predictor for decreased hippocampal insulin sensitivity with increasing age. Older women with high abdominal fat and/or those assigned to high-risk clusters were most vulnerable to impaired insulin responsiveness in the hippocampus. These findings may contribute to explaining sex differences in the development of type 2 diabetes and neurodegenerative diseases.

Indexed as

Body Fat DistributionHippocampusInsulin ResistanceAdultBlood GlucoseFemaleGlucose Tolerance TestHumansInsulinMagnetic Resonance ImagingMaleMiddle AgedPrediabetic StateSex FactorsBlood GlucoseInsulinFunctional brain imagingHippocampusInsulin resistanceMenopauseNeurodegeneration

Identifiers

PMID42399494
PMCPMC13541856

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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.