Olink proteomics analysis uncovers the landscape of inflammation-related proteins in patients with acute compartment syndrome

Tao Wang; Shuo Yang; Yubin Long; Yiran Li; Ting Wang; Zhiyong Hou

doi:10.3389/fimmu.2023.1293826

Olink proteomics analysis uncovers the landscape of inflammation-related proteins in patients with acute compartment syndrome

Front Immunol. 2023 Nov 17:14:1293826. doi: 10.3389/fimmu.2023.1293826. eCollection 2023.

Authors

Tao Wang^#^{1

2}, Shuo Yang^#^{1

2}, Yubin Long^#^{1

2

3}, Yiran Li^{1

2}, Ting Wang⁴, Zhiyong Hou^{1

2}

Affiliations

¹ Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
² Orthopaedic Research Institute of Hebei Province, Shijiazhuang, Hebei, China.
³ Department of Orthopedics, The First Central Hospital of Baoding, Baoding, China.
⁴ Department of Nursing, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.

^# Contributed equally.

Abstract

Purpose: Our primary purpose was to explore the landscape of inflammation-related proteins, and our second goal was to investigate these proteins as potential biomarkers of acute compartment syndrome (ACS), which is a serious complication of tibial fractures.

Methods: We collected sera from 15 healthy subjects (control group, CG) and 30 patients with tibial fractures on admission day, comprising 15 patients with ACS (ACS group, AG) and 15 patients without ACS (fracture group, FG). Ten samples in each group were analyzed by the inflammation panel of Olink Proteomics Analysis, and all samples were verified by an ELISA. Receiver-operating characteristic (ROC) curve analysis was performed to identify the diagnostic ability and cutoff values of potential biomarkers.

Results: Our findings showed that the levels of IL6, CSF-1, and HGF in the FG were significantly higher than those in the CG. Similar results were found between the AG and CG, and their cutoff values for predicting ACS compared with the CG were 9.225 pg/ml, 81.04 pg/ml, and 0.3301 ng/ml, respectively. Furthermore, their combination had the highest diagnostic accuracy. Notably, compared with FG, we only found a higher expression of CCL23 in the AG. Additionally, we identified 35.75 pg/ml as the cutoff value of CCL23 for predicting ACS in patients with tibial fractures.

Conclusion: We identified CCL23 as a potential biomarker of ACS in comparison with tibial fracture patients and the significance of the combined diagnosis of IL6, CSF-1, and HGF for predicting ACS compared with healthy individuals. Furthermore, we also found their cutoff values, providing clinicians with a new method for rapidly diagnosing ACS. However, we need larger samples to verify our results.

Keywords: CCL23; CSF-1; IL6 and HGF; cytokines; inflammation; proteomics; tibial fractures.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Biomarkers
Compartment Syndromes* / complications
Compartment Syndromes* / diagnosis
Humans
Inflammation / complications
Interleukin-6
Macrophage Colony-Stimulating Factor
Proteomics
Tibial Fractures*

Substances

Macrophage Colony-Stimulating Factor
Interleukin-6
Biomarkers

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Science and Technology Project of the Hebei Education Department (SLRC2019046); the Government-funded Clinical Medicine Outstanding Talent Training Project (2019); and the Natural Science Foundation of Hebei (H2020206193 and H2021206054). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.