Evidence map›Paper›PMID 42369346›Full record

ArticleBrain, behavior, & immunity - health2026

Cognition at the core of metabolic syndrome: linking metabolic load to behavioural impairment in a longitudinal high-fat diet rat model.

Nicolò Ricciardi, Valentina Di Liberto, Danila Di Majo, Antonio Cangelosi, Miriana Scordino, Giulia Urone, Giuseppe Giglia, Alessandro Massaro, Mario Allegra, Maria Ankarcrona and 3 more

Abstract read
In one paragraph

Article in Brain, behavior, & immunity - health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

Nicolò RicciardiDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D), Section of Human Physiology, University of Palermo, Italy.
Valentina Di LibertoDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D), Section of Human Physiology, University of Palermo, Italy.
Danila Di MajoDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D), Section of Human Physiology, University of Palermo, Italy.
Antonio CangelosiDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D), Section of Human Physiology, University of Palermo, Italy.
Miriana ScordinoDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D), Section of Human Physiology, University of Palermo, Italy.
Giulia UroneDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D), Section of Human Physiology, University of Palermo, Italy.
Giuseppe GigliaDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D), Section of Human Physiology, University of Palermo, Italy.
Alessandro MassaroDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Italy.
Mario AllegraDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Italy.
Maria AnkarcronaDepartment of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden.
Pierangelo SardoDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D), Section of Human Physiology, University of Palermo, Italy.
Giuseppe FerraroDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D), Section of Human Physiology, University of Palermo, Italy.
Giuditta GambinoDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D), Section of Human Physiology, University of Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction severely affects brain physiology; however, the progression of cognitive and affective alterations and their causal relationship with systemic dysmetabolism driving metabolic syndrome (MetS) have to be fully elucidated. Here, we addressed this hypothesis by combining longitudinal experimental data with a causal statistical modelling framework to explore mechanistic dependencies between cognitive and metabolic processes. To this aim, we used a 20-week high-fat diet (HFD) rat model of MetS, integrating assessment of anxiety-like behaviour, reactivity, and declarative memory with profiling of systemic metabolic, neuroendocrine and redox markers, as candidate neurometabolic mediators. Prolonged HFD exposure induced, together with an early and progressive metabolic dysregulation, a deterioration of anxiety-like behaviour and memory performance with specific temporal dynamics across behavioural domains. Our findings indicate that cognitive impairment is embedded within the progression of MetS, contributing to the organization and expansion of the neuro-metabolic phenotype. Furthermore, our multivariate analyses showed coordinated neurometabolic cascades with covariation of cognitive dysfunction with altered metabolic burden, oxidative stress, leptin signalling, and ketone body regulation. Importantly, causal modelling identified distinct neurometabolic pathways underlying domain-specific vulnerability. In particular, systemic leptin signalling emerged as an integrative signal linking metabolic load and neuroendocrine dysregulation with affective dimension, whereas memory impairment was preferentially linked to redox imbalance. Collectively, this study allows reconceptualization of MetS identifying cognitive-metabolic signatures and their causal architecture that thus provide a translational framework to interpret vulnerability profiles characterized by maladaptive behavioural regulation, with potential implications for early stratification and targeted intervention strategies.

Indexed as

Anxiety-like behaviourCausal modellingCognitive dysfunctionLeptin signallingRedox homeostasis

Identifiers

PMID42369346
PMCPMC13293659

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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.