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Stronger Correlations between Neurophysiological and Peripheral Disease Biomarkers Predict Better Prognosis in Two Severe Diseases

‘Mind–body’ debates assume that better brain–body associations are healthy. This study examined whether degree of associations between a neurophysiological vagal nerve index and peripheral disease biomarkers predict prognosis in pancreatic cancer (PC) and multiple sclerosis (MS). Sample 1 included 2...

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Autores principales: Gidron, Yori, De Couck, Marijke, Reynders, Tatjana, Marechal, Raphael, Engelborghs, Sebastiaan, D’hooghe, Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019994/
https://www.ncbi.nlm.nih.gov/pubmed/31877665
http://dx.doi.org/10.3390/jcm9010026
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author Gidron, Yori
De Couck, Marijke
Reynders, Tatjana
Marechal, Raphael
Engelborghs, Sebastiaan
D’hooghe, Marie
author_facet Gidron, Yori
De Couck, Marijke
Reynders, Tatjana
Marechal, Raphael
Engelborghs, Sebastiaan
D’hooghe, Marie
author_sort Gidron, Yori
collection PubMed
description ‘Mind–body’ debates assume that better brain–body associations are healthy. This study examined whether degree of associations between a neurophysiological vagal nerve index and peripheral disease biomarkers predict prognosis in pancreatic cancer (PC) and multiple sclerosis (MS). Sample 1 included 272 patients with advanced PC. Sample 2 included 118 patients with MS. We measured the vagal nerve index heart rate variability (HRV) derived from electrocardiograms. We examined associations between HRV and patients’ peripheral disease biomarkers: CA19-9 in PC and neurofilament light chain (NFL) in MS. Associations between HRV and each biomarker were examined separately in patients who survived or died (PC), and in those with and without relapse during 12 months (MS). In PC, HRV was significantly inversely related to the tumor marker CA19-9 in patients who later survived (r = −0.44, p < 0.05) but not in those who died (r = 0.10, NS). In MS, HRV was significantly and inversely related to NFL only in those who did not relapse (r = −0.25, p < 0.05), but not in those who relapsed (r = −0.05, NS). The degree of association between a neurophysiological vagal marker and peripheral disease biomarkers has prognostic value in two distinct diseases.
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spelling pubmed-70199942020-03-09 Stronger Correlations between Neurophysiological and Peripheral Disease Biomarkers Predict Better Prognosis in Two Severe Diseases Gidron, Yori De Couck, Marijke Reynders, Tatjana Marechal, Raphael Engelborghs, Sebastiaan D’hooghe, Marie J Clin Med Brief Report ‘Mind–body’ debates assume that better brain–body associations are healthy. This study examined whether degree of associations between a neurophysiological vagal nerve index and peripheral disease biomarkers predict prognosis in pancreatic cancer (PC) and multiple sclerosis (MS). Sample 1 included 272 patients with advanced PC. Sample 2 included 118 patients with MS. We measured the vagal nerve index heart rate variability (HRV) derived from electrocardiograms. We examined associations between HRV and patients’ peripheral disease biomarkers: CA19-9 in PC and neurofilament light chain (NFL) in MS. Associations between HRV and each biomarker were examined separately in patients who survived or died (PC), and in those with and without relapse during 12 months (MS). In PC, HRV was significantly inversely related to the tumor marker CA19-9 in patients who later survived (r = −0.44, p < 0.05) but not in those who died (r = 0.10, NS). In MS, HRV was significantly and inversely related to NFL only in those who did not relapse (r = −0.25, p < 0.05), but not in those who relapsed (r = −0.05, NS). The degree of association between a neurophysiological vagal marker and peripheral disease biomarkers has prognostic value in two distinct diseases. MDPI 2019-12-20 /pmc/articles/PMC7019994/ /pubmed/31877665 http://dx.doi.org/10.3390/jcm9010026 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Brief Report
Gidron, Yori
De Couck, Marijke
Reynders, Tatjana
Marechal, Raphael
Engelborghs, Sebastiaan
D’hooghe, Marie
Stronger Correlations between Neurophysiological and Peripheral Disease Biomarkers Predict Better Prognosis in Two Severe Diseases
title Stronger Correlations between Neurophysiological and Peripheral Disease Biomarkers Predict Better Prognosis in Two Severe Diseases
title_full Stronger Correlations between Neurophysiological and Peripheral Disease Biomarkers Predict Better Prognosis in Two Severe Diseases
title_fullStr Stronger Correlations between Neurophysiological and Peripheral Disease Biomarkers Predict Better Prognosis in Two Severe Diseases
title_full_unstemmed Stronger Correlations between Neurophysiological and Peripheral Disease Biomarkers Predict Better Prognosis in Two Severe Diseases
title_short Stronger Correlations between Neurophysiological and Peripheral Disease Biomarkers Predict Better Prognosis in Two Severe Diseases
title_sort stronger correlations between neurophysiological and peripheral disease biomarkers predict better prognosis in two severe diseases
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019994/
https://www.ncbi.nlm.nih.gov/pubmed/31877665
http://dx.doi.org/10.3390/jcm9010026
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