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  4. Identification of immunodiagnostic blood biomarkers associated with spinal cord injury severity

Identification of immunodiagnostic blood biomarkers associated with spinal cord injury severity

Frontiers in Immunology, 2023 · DOI: 10.3389/fimmu.2023.1101564 · Published: March 29, 2023

Spinal Cord InjuryImmunologyBioinformatics

Simple Explanation

This research aims to find immune-related biomarkers in the blood that can help diagnose and assess the severity of spinal cord injuries (SCI). The study analyzes gene expression in blood samples from SCI patients, trauma controls, and healthy individuals to identify differences in immune activity. The researchers used various methods to identify genes and immune cells that are significantly altered in SCI patients compared to healthy controls. They focused on finding biomarkers that could differentiate between different grades of SCI severity, as defined by the American Spinal Injury Society Impairment Scale (AIS). The study identified several potential biomarkers in the blood that could help in the diagnosis and assessment of SCI severity. These biomarkers are involved in immune responses and could potentially be used to develop diagnostic tests for SCI.

Study Duration
Not specified
Participants
SCI patients, trauma controls, and healthy controls
Evidence Level
Original Research

Key Findings

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    Seventeen kinds of immune cells showed different levels in SCI patients versus healthy controls, with seven immune cell types significantly increased after SCI.
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    CKLF, EDNRB, FCER1G, SORT1, and TNFSF13B were identified as potential immune biomarkers for SCI, showing significantly upregulated expression in SCI patients.
  • 3
    GDF11 and HSPA1L can be used as biomarkers of SCI AIS A grade; PRKCA and CMTM2 can be used as biomarkers of the SCI AIS D grade.

Research Summary

This study systematically investigates changes in peripheral blood immune cells and differential expression of immune-related genes after SCI to identify immunodiagnostic biomarkers for SCI and for AIS A and AIS D grades. Five important SCI characteristic biomarkers, CKLF, EDNRB, FCER1G, SORT1, and TNFSF13B were discovered; their AUC values were 0.918, 0.924, 0.937, 0.987, and 0.979, respectively, indicating that they have certain characteristics for SCI Data analysis and qPCR results showed GDF11 and HSPA1L to be biomarkers of SCI AIS A grade, and RKCA and CMTM2 to be biomarkers of SCI AIS D grade.

Practical Implications

Diagnostic Potential

The identified biomarkers could be used to develop blood tests for diagnosing SCI and assessing its severity, especially in situations where MRI is not available or feasible.

Therapeutic Insights

Understanding the specific immune cell changes associated with different grades of SCI could lead to targeted immunomodulatory therapies to improve outcomes.

Personalized Medicine

These biomarkers could help in personalizing treatment approaches based on the individual's immune profile and the severity of their SCI.

Study Limitations

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