Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38014
Title: Immune phenotyping SCI patients versus healthy controls
Data Creator - person: FRAUSSEN, Judith 
BECKERS, Lien 
van Laake-Geelen, Charlotte
Depreitere, Bart
Deckers, Jens
Cornips, Erwin
peuskens, diederik
SOMERS, Veerle 
Data Creator - organization: Hasselt University
Maastricht University
University Hospitals Leuven
Algemeen Ziekenhuis Turnhout
Ziekenhuis Oost-Limburg
Adelante Centre of Expertise in Rehabilitation and Audiology
Data Curator - person: FRAUSSEN, Judith 
Data Curator - organization: Hasselt University
Rights Holder - person: FRAUSSEN, Judith 
Rights Holder - organization: Hasselt University
Publisher: Open Data Commons for Spinal Cord Injury (ODC-SCI)
Issue Date: 2022
Abstract: STUDY PURPOSE: Following a spinal cord injury (SCI), an inflammatory immune reaction is triggered which results in advanced secondary tissue damage. The systemic post-SCI immune response is poorly understood. This study aimed to extensively analyse the circulating immune cell composition in traumatic SCI patients in relation to clinical parameters. DATA COLLECTED: High-dimensional flow cytometry was performed on peripheral blood mononuclear cells of 18 traumatic SCI patients and 18 healthy controls to determine immune cell subsets. SCI blood samples were collected at multiple time points in the (sub)acute (0 days to 3 weeks post-SCI, (s)aSCI) and chronic (6 to >18 weeks post-SCI, cSCI) disease phase. Not all time points were available for every included SCI patient due to organizational issues (late inclusion) or withdrawal of subjects from the study. Twelve SCI patients presented with a cervical injury, 5 with a thoracic injury and 1 with a lumbar injury. We first analyzed the major immune cell subsets in PBMC of HC, (s)aSCI patients and cSCI patients. These included CD14+ monocytes, natural killer (NK) cells, which are classically divided into cytotoxic CD56loCD16+ and highly cytokine producing CD56hiCD16+/- subsets, CD19+ B cells and CD3+ T cells, divided into CD4+ helper and CD8+ cytotoxic subsets. Next, the following subsets were studied in both CD4+ and CD8+ T cells: naive (Tnaive, CD45RA+CD45RO-), memory (Tm, CD45RA-CD45RO+), effector memory (Tem, CD45RA-CCR7-), central memory (Tcm, CD45RA-CCR7+), effector memory re-expressing CD45RA (Temra, CD45RA+CCR7-) and regulatory (Treg, CD25+CD127low). CD19+ B cells were studied in more detail by analysis of CD24hiCD38hi transitional, IgD+CD27- naive, IgD+CD27+ non class-switched memory (NCSM), IgD-CD27+ class-switched memory (CSM), IgM+IgD-CD27+ IgM only and IgD-CD27- double negative (DN) subsets. IgM, IgG and IgA were included to further define memory responses. DATA USAGE NOTES:
Research Discipline: Medical and health sciences > Clinical sciences > Immunology > Immunology not elsewhere classified (03021499)
Medical and health sciences > Clinical sciences > Neurosciences > Neurosciences not elsewhere classified (03022399)
Keywords: immune profiling;human;B cell;flow cytometry
DOI: 10.34945/F5588X
Link to publication/dataset: https://odc-sci.org/data/774
Source: Open Data Commons for Spinal Cord Injury (ODC-SCI). 10.34945/F5588X https://odc-sci.org/data/774
Publications related to the dataset: 10.3389/fimmu.2022.873315
License: Creative Commons Attribution 4.0 International (CC-BY-4.0)
Access Rights: Open Access
Category: DS
Type: Dataset
Appears in Collections:Datasets

Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.