Evidence map›Paper›PMID 40791990›Full record

ReviewFrontiers in endocrinology2025

Predictors of powerhouse: a perspective of mitochondrial biomarkers in type 2 diabetes.

Mónica Muñoz-Úbeda, Surjya Narayan Dash

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Mónica Muñoz-Úbeda *Physical Chemistry Department, Faculty of Chemistry, University Complutense of Madrid, Madrid, Spain.
Surjya Narayan Dash *Helsinki Institute of Life science, Biocenter 2, Viikinkaari, University of Helsinki, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondria play a critical role in maintaining the metabolic balance of the cell. The onset and progression of diabetes have been linked to mitochondrial dysfunction, leading to oxidative stress and dysregulation of metabolic intermediates, ultimately leading to a loss of energy production. Mitochondria play a crucial role in glucose stimulated-insulin secretion in pancreatic β-cells and oxidative phosphorylation in beta cells and skeletal muscles. In type-2 diabetes, impaired oxidative phosphorylation and insulin release is linked to insulin resistance (IR). Given the possible involvement of mitochondrial activity in the pathophysiology of diabetes, it would be highly desirable to investigate possible biomarkers or indicators that may provide details on the onset, severity or progression of the disease. The use of biomarkers is essential both for the diagnosis of mitochondrial diseases and for monitoring their metabolic status. The discovery and characterization of numerous biomarkers that correlate with mitochondrial diseases has led to the development of a number of new biomarkers. Biomarkers associated with human mitochondrial dysfunction are critical for the development of targeted therapies and early diagnosis of diabetes. Based on an investigation of the literature, this perspective outlines the state of knowledge on mitochondrial biomarkers and examines the data supporting their application in the early diagnosis, prognosis, and monitoring of diabetes.

Indexed as

BiomarkersDiabetes Mellitus, Type 2MitochondriaMitochondrial DiseasesAnimalsHumansInsulin ResistanceBiomarkersinsulin resistancemetabolic syndromemitochondrial biomarkersmitochondrial dysfunctiontype-2 diabetes

Identifiers

PMID40791990
PMCPMC12336034

What OpenQuestion holds

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Registered trials

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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.