Evidence map›Paper›PMID 40282303›Full record

ReviewBiology2025

Battle of the Biomarkers of Systemic Inflammation.

Emilia Stec-Martyna, Karolina Wojtczak, Dariusz Nowak, Robert Stawski

Abstract readReview
In one paragraph

Review in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
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  3. Review
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  13. Observational
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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

4 authors.

Emilia Stec-MartynaResearch Laboratory CoreLab, Medical University of Lodz, 6/8 Mazowiecka St., 92-215 Lodz, Poland.ORCID 0000-0002-0756-1762
Karolina WojtczakDepartment of Clinical Physiology, Medical University of Lodz, 92-215 Lodz, Poland.
Dariusz NowakDepartment of Clinical Physiology, Medical University of Lodz, 92-215 Lodz, Poland.ORCID 0000-0003-3445-6930
Robert StawskiDepartment of Clinical Physiology, Medical University of Lodz, 92-215 Lodz, Poland.ORCID 0000-0003-4164-4817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic inflammation is monitored with various biomarkers; of these, C-reactive protein (CRP) is widely used due to its cost effectiveness and widespread implementation. However, its lack of specificity and delayed kinetics have directed interest in cell-free DNA (cfDNA), which offers rapid responses to cellular damage. Our review compares the use of CRP and cfDNA in myocardial infarction, sepsis, and physical exercise, focusing on their origins, kinetics, and clinical utility. cfDNA release from apoptotic or damaged cells increases within minutes to hours, providing an early marker of cellular stress. In myocardial infarction, cfDNA peaks early, indicating acute injury, while CRP rises later, reflecting prolonged inflammation. In sepsis, cfDNA correlates strongly with disease severity and prognosis, outperforming CRP in early diagnosis. During physical exercise, cfDNA offers an immediate picture of cellular stress, whereas CRP's delayed response limits its utility in this context. The interaction between CRP and cfDNA suggests their combined application could improve diagnostic accuracy and prognostic assessments. As cfDNA testing becomes more widely available, researchers will need to develop standardized protocols and determine how it can best complement CRP measurements in clinical practice. This approach offers promise for improving the management of systemic inflammation across diverse medical conditions.

Indexed as

biomarkerscell-free DNA (cfDNA)C-reactive protein (CRP)exercisemyocardial infarctionsepsissystemic inflammation

Identifiers

PMID40282303
PMCPMC12024891

What Socratic holds

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LicenceCC BY
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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 Socratic graph.