# Impact of alcohol consumption on outcomes and potential of immune biomarkers for postoperative complications in trauma patients

**Authors:** Mohammad Majd Hammour, Yelda Anuk, Regina Breinbauer, Romina H. Aspera-Werz, Yuxuan Xin, Guanqiao Chen, Tina Histing, Sabrina Ehnert, Andreas K. Nüssler, Stefan Döbele

PMC · DOI: 10.3389/fimmu.2025.1492288 · Frontiers in Immunology · 2025-04-14

## TL;DR

This study explores how chronic alcohol use affects immune biomarkers in trauma patients and their risk of postoperative complications.

## Contribution

The study identifies potential immune biomarkers linked to postoperative complications in trauma patients with chronic alcohol consumption.

## Key findings

- CRP showed limited predictive ability for complications in patients with risky alcohol consumption.
- Cytokine Array screening identified CD28, B7-1, Eotaxin-3, TIMP-1, and IL-13 as potential markers.
- ELISA verification revealed discrepancies due to methodological differences and sample pooling.

## Abstract

Alcohol consumption is a significant risk factor for adverse outcomes in trauma patients. Despite this, effective predictive biomarkers for postoperative complications remain elusive. This study aims to identify potential immune system biomarkers associated with postoperative complications in trauma patients with a history of chronic alcohol consumption.

A prospective cohort study was conducted on trauma patients admitted to a level 1 Trauma Center. Chronic alcohol consumption and drinking habits were assessed using the Alcohol Use Disorders Identification Test (AUDIT-C) questionnaire. Specifically, 26% of patients reported no alcohol consumption, 44% reported moderate alcohol consumption, and 30% were identified as having risky alcohol consumption. Acute systemic alcohol levels at the time of injury were not measured or considered in this study, as the focus was on chronic consumption patterns. Routine blood screening data were analyzed.

Except for CRP, blood values were comparable between patients with risky alcohol consumption and controls. However, CRP’s ability to predict complications in patients with risky alcohol consumption remained limited (ROC-AUC = 0.6288). In order to identify other predictive markers, patients were matched based on relevant covariates in further analyses. Cytokine Array screening identified CD28, B7-1, Eotaxin-3, TIMP-1, and IL-13 as potential markers to predict complications. Verification with ELISA, however, showed that potential differences could only be detected in the control group. The discrepancies observed between cytokine array and ELISA results can be best explained by methodological differences, particularly since the serum samples were pooled for initial target screening. Additionally, variations in assay sensitivity, dynamic range, and calibration protocols contribute to these discrepancies.

These findings suggest that chronic alcohol consumption alters cytokine responses, posing challenges for identifying reliable immune biomarkers for postoperative complications. Future studies should explore alternative approaches for biomarker validation and consider individualized assessment strategies for trauma patients with alcohol consumption history.

## Linked entities

- **Proteins:** CD28 (CD28 molecule), CD80 (CD80 molecule), TIMP1 (TIMP metallopeptidase inhibitor 1), IL13 (interleukin 13), CRP (C-reactive protein)

## Full-text entities

- **Genes:** IL13 (interleukin 13) [NCBI Gene 3596] {aka IL-13, P600}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, CD28 (CD28 molecule) [NCBI Gene 940] {aka IMD123, Tp44}, TIMP1 (TIMP metallopeptidase inhibitor 1) [NCBI Gene 7076] {aka CLGI, EPA, EPO, HCI, TIMP, TIMP-1}, CCL26 (C-C motif chemokine ligand 26) [NCBI Gene 10344] {aka IMAC, MIP-4a, MIP-4alpha, SCYA26, TSC-1}, CD80 (CD80 molecule) [NCBI Gene 941] {aka B7, B7-1, B7.1, BB1, CD28LG, CD28LG1}
- **Diseases:** Alcohol Use Disorders (MESH:D000437), Trauma (MESH:D014947)
- **Chemicals:** Alcohol (MESH:D000438)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12034740/full.md

## References

56 references — full list in the complete paper: https://tomesphere.com/paper/PMC12034740/full.md

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Source: https://tomesphere.com/paper/PMC12034740