Evidence map›Paper›PMID 20577758›Full record

ArticleEuropean journal of applied physiology2010

Cell-free plasma DNA and purine nucleotide degradation markers following weightlifting exercise.

Johanna Atamaniuk, Claudia Vidotto, Markus Kinzlbauer, Norbert Bachl, Beate Tiran, Harald Tschan

Abstract read
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In one paragraph

Article in European journal of applied physiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

47 citing papers in PubMed, 70 citations in OpenAlex.

  1. Trial
  2. Exercise intensity and training alter the innate immune cell type and chromosomal origins of circulating cell-free DNA in humans.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  20. New Perspectives on the Importance of Cell-Free DNA Biology.Diagnostics (Basel, Switzerland) · 2022
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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

6 authors at 4 institutions in 1 country.

Johanna AtamaniukInstitute of Laboratory Diagnostics, Kaiser Franz Josef Hospital, Vienna, Austria. johanna.atamaniuk@wienkav.at
Claudia Vidotto
Markus Kinzlbauer
Norbert Bachl
Beate Tiran
Harald Tschan
University of Vienna · ATKaiser-Franz-Josef-Spital · ATLudwig Boltzmann Institute Applied Diagnostics · ATUniversity of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to investigate the acute effects of a single bout of high-intensive strength training on the production of cell-free plasma DNA (cf-DNA), as well as on the degradation of purine nucleotides as assessed by the concentration of xanthine (XA) and hypoxanthine (HX) in urine and serum. Twelve trained weightlifters performed six sets of six lifting exercises with 90-95% of the one repetition maximum. Blood samples and urine were obtained 1 h before training, immediately after finishing the exercise session and following 2 h of recovery. Cf-DNA, HX, and XA (in serum) significantly increased (P < 0.05-P < 0.001) immediately after heavy lifting exercise when compared with baseline levels, and significantly decreased (P < 0.05-P < 0.001) after 2 h of recovery. These results indicate that, cf-DNA and oxypurines might be relevant biomarkers for cellular damage, mechanical, energetic, and/or ischemic stress in context with exercise.

Indexed as

AdultBiomarkersCell-Free SystemDNADNA DamageExerciseFemaleHumansHypoxanthineOxidation-ReductionPurine NucleotidesWeight LiftingYoung AdultBiomarkersDNAHypoxanthinePurine Nucleotides

Identifiers

PMID20577758
OpenAlexW1992319055

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.