Evidence map›Paper›PMID 40045401›Full record

ArticleCardiovascular diabetology2025

Circulating mitochondrial DNA signature in cardiometabolic patients.

Alessandro Mengozzi, Silvia Armenia, Nicolò De Biase, Lavinia Del Punta, Federica Cappelli, Emiliano Duranti, Virginia Nannipieri, Rossana Remollino, Domenico Tricò, Agostino Virdis and 3 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Diuretics in Cardiovascular Disease: For How Long and at What Dose?Journal of cardiovascular development and disease · 2026
    Review
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  6. Article
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  8. ProbioticBrain sciences · 2026
    Article
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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.

Alessandro Mengozzi *Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy.
Silvia Armenia *Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy.
Nicolò De BiaseDepartment of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy.
Lavinia Del PuntaDepartment of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy.
Federica CappelliDepartment of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy.
Emiliano DurantiDepartment of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy.
Virginia NannipieriDepartment of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy.
Rossana RemollinoDepartment of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy.
Domenico TricòDepartment of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy.
Agostino VirdisDepartment of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy.
Stefano TaddeiDepartment of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy.
Nicola Riccardo Pugliese *Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy. n.r.pugliese88@gmail.com.
Stefano Masi *Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56124, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMitochondrial dysfunction is a hallmark of cardiometabolic diseases. Circulating mitochondrial DNA (mtDNA) profiles could refine risk stratification, but current methods do not account for different fractions of circulating mtDNA. We investigated whether patients with type 2 diabetes and/or heart failure (HF) have a specific signature of the total circulating mtDNA profile, including intracellular and cell-free fractions.

methodsWe performed a complete clinical assessment, including blood tests, 12-lead ECG and ultrasound at rest and during cardiopulmonary exercise. Ultrasound congestion was defined at rest as inferior vena cava of ≥ 21 mm, lung B-lines ≥ 4, or discontinuous renal venous flow. In fasting whole blood and plasma samples collected at rest, we simultaneously measured the copy number of the cellular and cell-free components of mtDNA by real-time quantitative polymerase chain reaction (qPCR) using custom standards. We calculated the ratio of cell mtDNA to cell-free mtDNA as an index of mitochondrial efficiency.

resultsWe enrolled 120 consecutive patients: 50 (42%) with HF and preserved ejection fraction (HFpEF), 40 (33%) with HF and reduced ejection fraction (HFrEF) and 30 (25%) at risk of developing HF; 42/120 (35%) had diabetes. Cell-free mtDNA was increased in patients with HF (with higher levels in HFrEF than HFpEF) and those with diabetes. Cell-free mtDNA was also higher in patients with systemic inflammation (expressed by high-sensitivity C-reactive protein [hs-CRP] ≥ 0.2 mg/dL with neutrophil-lymphocyte ratio [NLR] > 3) and more ultrasound signs of congestion. The cell/cell-free mtDNA ratio showed opposite trends (all p < 0.05), but there were no significant differences in cell mtDNA. Cell-free mtDNA and mtDNA ratio independently predicted the presence of ≥ 2 ultrasound signs of congestion and effort intolerance (peak oxygen consumption < 16 mL/kg/min) at ROC analysis and using multivariable regressions after adjustment for age, sex, hs-CRP, NLR, high-sensitivity Troponin T and NT-proBNP.

conclusionsPatients with HF and diabetes have an altered circulating mtDNA signature characterised by higher cell-free mtDNA and lower mtDNA ratio, whereas cellular mtDNA remains unaffected. Cell-free mtDNA and mtDNA ratio are associated with impaired response to exercise, higher systemic inflammation and increased congestion. Circulating mitochondrial profile could be a new biomarker of mitochondrial status in cardiometabolic diseases.

Indexed as

Cell-Free Nucleic AcidsDiabetes Mellitus, Type 2DNA, MitochondrialHeart FailureAgedBiomarkersFemaleHumansMaleMiddle AgedStroke VolumeBiomarkersCell-Free Nucleic AcidsDNA, MitochondrialCirculating mitochondrial DNACongestionEffort intoleranceHeart failureType 2 diabetes

Identifiers

PMID40045401
PMCPMC11884014

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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.