Evidence map›Paper›PMID 41351754›Full record

ArticleEuropean journal of applied physiology2026

Biomarkers predicting the effectiveness of normobaric altitude training.

Simon Klügel, Svenja Nolte, Sebastian Hacker, Tom Kastner, Nico Walter, Daniel Fleckenstein, Celina Maier, Kristina Gebhardt, Angela Relogio, Deeksha Malhan and 4 more

Abstract read
In one paragraph

Article in European journal of applied physiology, 2026. 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

14 authors.

Simon Klügel *Department of Exercise Physiology and Sports Therapy, Institute of Sport Science, Justus-Liebig-University Giessen, Kugelberg 62, 35394, Giessen, Germany.
Svenja Nolte *Department of Exercise Physiology and Sports Therapy, Institute of Sport Science, Justus-Liebig-University Giessen, Kugelberg 62, 35394, Giessen, Germany.
Sebastian HackerDepartment of Exercise Physiology and Sports Therapy, Institute of Sport Science, Justus-Liebig-University Giessen, Kugelberg 62, 35394, Giessen, Germany.
Tom KastnerDepartment of Sports Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Nico WalterInstitute for Applied Training Science, Leipzig, Germany.
Daniel FleckensteinInstitute for Applied Training Science, Leipzig, Germany.
Celina MaierDepartment of Exercise Physiology and Sports Therapy, Institute of Sport Science, Justus-Liebig-University Giessen, Kugelberg 62, 35394, Giessen, Germany.
Kristina GebhardtDepartment of Exercise Physiology and Sports Therapy, Institute of Sport Science, Justus-Liebig-University Giessen, Kugelberg 62, 35394, Giessen, Germany.
Angela RelogioInstitute for Systems Medicine, Medical School Hamburg, Hamburg, Germany.
Deeksha MalhanInstitute for Systems Medicine, Medical School Hamburg, Hamburg, Germany.
Anna KlemmerInstitute for Molecular Medicine, Medical School Hamburg, Hamburg, Germany.
Tobias StauberInstitute for Molecular Medicine, Medical School Hamburg, Hamburg, Germany.
Karsten Hollander *Institute of Interdisciplinary Exercise Science and Sports Medicine, Medical School Hamburg, Hamburg, Germany.
Karsten Krüger *Department of Exercise Physiology and Sports Therapy, Institute of Sport Science, Justus-Liebig-University Giessen, Kugelberg 62, 35394, Giessen, Germany. karsten.krueger@sport.uni-giessen.de.ORCID http://orcid.org/0000-0003-1506-8254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of the present study was to identify blood-based biomarkers that could predict individual VO

methodsIn an exploratory intervention study, 15 young highly trained athletes from the German Athletics Federation completed a 21-day Live High - Train Low program at an artificial altitude house, which simulated an altitude of 800 km·h (approximately 1.900-2.500 m) under normobaric hypoxia. V̇O₂max was measured pre- and post-intervention, and blood parameters were collected at six time points (pre, post and four times at altitude. The pre measurement functioned as baseline and was used for the predictive model.

resultsAltitude training led to a mean V̇O₂max increase of 2.1 mL · kg⁻¹ · min⁻¹ (+ 3.1%), with high interindividual variability (-1.7 to + 4.5 mL · kg⁻¹ · min⁻¹). Neither training load, sex, nor discipline explained these differences. Logistic regression analyses identified monocyte percentage (> 10%) and neutrophil percentage (> 50%) emerged as the strongest predictors of responder status (McFadden's R² = 0.61 and 0.65, respectively), while neutrophil-to-lymphocyte-ratio (NLR) and hematocrit also showed significant predictive value. Threshold analyses revealed that high-responders consistently displayed lower neutrophil activity (NLR < 1.5) and higher hematocrit levels (> 42.5%), in contrast to low-responders. Longitudinal biomarker trajectories further supported these distinctions, with high-responders maintaining adaptive immune and iron-related profiles, whereas low-responders exhibited persistent signs of innate immune activation and suboptimal erythropoietic status.

conclusionThese results highlight the relevance of functional biomarker profiles for individualized training planning in elite sports. Practically, this opens new possibilities for the targeted use of altitude training while minimizing health risks.

Indexed as

AltitudeBiomarkersFemaleHumansMaleMonocytesNeutrophilsOxygen ConsumptionYoung AdultBiomarkersAthletesEndurance performanceHypoxiaIron metabolismMonocytesNLR

Identifiers

PMID41351754
PMCPMC13236823

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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.