Evidence map›Paper›PMID 40421245›Full record

ReviewFrontiers in endocrinology2025

Diabetes and brain: omics approaches to study diabetic encephalopathy.

Nicoletta Lionetti, Maria Grazia Di Lago, Tania Brescia, Federica Bevilacqua, Antonio Gnoni

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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.

Nicoletta LionettiDepartment of Basic Medical Sciences, Neuroscience and Sense Organs, Section of Clinical Biochemistry, University of Bari "Aldo Moro", Bari, Italy.
Maria Grazia Di LagoDepartment of Basic Medical Sciences, Neuroscience and Sense Organs, Section of Clinical Biochemistry, University of Bari "Aldo Moro", Bari, Italy.
Tania BresciaDepartment of Basic Medical Sciences, Neuroscience and Sense Organs, Section of Clinical Biochemistry, University of Bari "Aldo Moro", Bari, Italy.
Federica BevilacquaDepartment of Basic Medical Sciences, Neuroscience and Sense Organs, Section of Clinical Biochemistry, University of Bari "Aldo Moro", Bari, Italy.
Antonio GnoniDepartment of Basic Medical Sciences, Neuroscience and Sense Organs, Section of Clinical Biochemistry, University of Bari "Aldo Moro", Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is a complex metabolic disorder associated with many complications, including diabetic encephalopathy (DE). DE is a severe neurological condition characterized by a progressive decline in cognitive and motor functions, significantly impacting patients' quality of life. Despite advancements in understanding DM, the intricate pathogenetic mechanisms underlying DE remain incompletely elucidated. This review comprehensively analyzes the application of omics technologies to decipher the molecular basis of DE and identify potential diagnostic biomarkers and therapeutic targets. Several studies on animal models of DE have revealed specific metabolic signatures and changes in gene expression in key memory brain regions, like the hippocampus, highlighting potential therapeutic targets. We explore how these "omics" approaches have provided novel insights into the complex interplay of factors contributing to DE. Recurrent alterations were identified upon evaluation of analysis from human tissues and

Indexed as

BrainBrain DiseasesDiabetes ComplicationsDiabetes MellitusAnimalsGenomicsHumansHypoglycemiaMetabolomicsOxidative StressProteomicsdiabetic encephalopathyenergy metabolismneuroinflammationomics approachesoxidative stress

Identifiers

PMID40421245
PMCPMC12104092

What OpenQuestion holds

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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.