What question did this study set out to answer?

This study aims to improve the diagnosis of neurological manifestations in autoimmune connective tissue diseases by analyzing immune cell compositions.

February 23, 2023Journal of NeuroinflammationOpen Access

Supporting the differential diagnosis of connective tissue diseases with neurological involvement by blood and cerebrospinal fluid flow cytometry

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Authors

MHMichael HemingUniversity Hospital Münster LMLouisa Müller‐MinyUniversity Hospital Münster LRLeoni RolfesDüsseldorf University Hospital

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Overview

Randomized trial explores immune cell profiles to aid diagnosis in connective tissue diseases with neurological manifestations, suggesting faster test options.

Key Points

This study aims to improve the diagnosis of neurological manifestations in autoimmune connective tissue diseases by analyzing immune cell compositions.
Retrospective investigation of paired cerebrospinal fluid and blood samples from 28 CTD patients without neurological manifestations and 38 with neurological manifestations, along with control groups.
Flow cytometry was used to assess immune cell types in blood and cerebrospinal fluid samples from patients.
A machine learning model was developed to differentiate neurological CTD from multiple sclerosis based on immune cell compositions.
Blood plasma cells were significantly expanded in both CTD with neurological manifestations and CTD without compared to non-inflammatory controls and MS.
Blood flow cytometry effectively distinguished N-CTD from MS with an area under the curve (AUC) of 0.81.
CD4 + T cells and the CD4 + /CD8 + ratio were elevated in N-CTD compared to CTD.

Cite This Study

Heming et al. (2023) studied this question.

synapsesocial.com/papers/6a3fa67684e5814408cd5de3 https://doi.org/10.1186/s12974-023-02733-w

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February 23, 2023Journal of NeuroinflammationOpen Access

Supporting the differential diagnosis of connective tissue diseases with neurological involvement by blood and cerebrospinal fluid flow cytometry

View Full Paper

Ask AI

Bookmark

Authors

MHMichael HemingUniversity Hospital Münster LMLouisa Müller‐MinyUniversity Hospital Münster LRLeoni RolfesDüsseldorf University Hospital

Discussion

Member takes

Overview

Randomized trial explores immune cell profiles to aid diagnosis in connective tissue diseases with neurological manifestations, suggesting faster test options.

Key Points

This study aims to improve the diagnosis of neurological manifestations in autoimmune connective tissue diseases by analyzing immune cell compositions.
Retrospective investigation of paired cerebrospinal fluid and blood samples from 28 CTD patients without neurological manifestations and 38 with neurological manifestations, along with control groups.
Flow cytometry was used to assess immune cell types in blood and cerebrospinal fluid samples from patients.
A machine learning model was developed to differentiate neurological CTD from multiple sclerosis based on immune cell compositions.
Blood plasma cells were significantly expanded in both CTD with neurological manifestations and CTD without compared to non-inflammatory controls and MS.
Blood flow cytometry effectively distinguished N-CTD from MS with an area under the curve (AUC) of 0.81.
CD4 + T cells and the CD4 + /CD8 + ratio were elevated in N-CTD compared to CTD.

Cite This Study

Heming et al. (2023) studied this question.

synapsesocial.com/papers/6a3fa67684e5814408cd5de3 https://doi.org/10.1186/s12974-023-02733-w

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