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A biomarker-derived injury score integrating inflammatory cytokines and mitochondrial vitality may predict short-term injury risk in football

Dominik Ziehe, Björn Koos, Patrick Thon, Hartmuth Nowak, Nadine Hennigs, Kaspar Schepanek et al. · Frontiers in Sports and Active Living · 2026

This study tested whether a biomarker score combining inflammatory markers (cytokines) and mitochondrial health measured after training could predict injury risk in professional football players better than traditional load metrics. The biomarker score showed strong predictive performance (AUC 0.939), correctly identifying injury risk in 71% of high-risk cases, while standard training load measures performed poorly by comparison.
Takeaway: Consider blood-based inflammatory and mitochondrial markers alongside training load when assessing short-term injury risk, though larger studies are needed to confirm these findings.
Abstract (source)

Background: To determine whether a biomarker-derived injury score integrating exercise-induced cytokine responses with mitochondrial and bioenergetic readouts improves short-term injury risk stratification in professional football players compared with normalized TPL and high-intensity running distance (HIRD).

Methods: Prospective observational cohort study in elite professional football. Twenty-one professional male football players (German 2nd Bundesliga, 2023/2024 season) were assessed immediately pre- and post-training. Serum cytokines (IL-6, IL-8, IL-10, TNF-α) were measured using a multiplex immunoassay. PBMC ATP content was quantified via a luciferase-based assay, and mitochondrial vitality was approximated by the TFAM/TFB2M interaction using a proximity ligation assay. ROC analysis with Youden index was applied to derive biomarker cut-offs associated with injuries occurring within 10 days. Each exceeded cut-off contributed one point to a composite Injury score (0–6). Predictive performance was compared with normalized total player load (TPL) and, in an exploratory sensitivity analysis, high-intensity running distance (HIRD; the sum of velocity-band 5 and 6 distances).

Results: Six of 21 players sustained an injury within 10 days. Normalized TPL showed weak discriminatory performance (AUC = 0.577), and HIRD showed similarly weak discrimination in an exploratory analysis (AUC = 0.532; 95% CI 0.247–0.817). In contrast, the biomarker-derived Injury score demonstrated high discrimination (AUC = 0.939; 95% CI 0.828–1.000). Using a threshold of <4 versus ≥4, scores <4 were associated with a 93% probability of remaining injury-free (13/14), whereas scores ≥4 were associated with injury occurrence in 71% of cases (5/7).

Conclusion: A biomarker-based Injury score integrating inflammatory and mitochondrial responses to exercise showed promising performance for short-term injury risk stratification and showed higher apparent discriminatory performance than normalized TPL and HIRD in this cohort. These

Findings: suggest that individualized biological responses to training stress may provide clinically relevant information for injury risk assessment in professional football. Further prospective validation in larger cohorts is required.

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