The Identification of Blood Biomarkers of Chronic Neuropathic Pain by Comparative Transcriptomics

In this study, we recruited 50 chronic pain (neuropathic and nociceptive) and 43 pain-free controls to identify specific blood biomarkers of chronic neuropathic pain (CNP). Affymetrix microarray was carried out on a subset of samples selected 10 CNP and 10 pain-free control participants. The most si...

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Published inNeuromolecular medicine Vol. 24; no. 3; pp. 320 - 338
Main Authors Islam, Barira, Stephenson, John, Young, Bethan, Manca, Maurizio, Buckley, David A., Radford, Helen, Zis, Panagiotis, Johnson, Mark I., Finn, David P., McHugh, Patrick C.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.09.2022
Springer Nature B.V
Subjects
Biomarkers
Biomedical and Life Sciences
Biomedicine
Chronic pain
Comparative analysis
DNA microarrays
Gene expression
Internal Medicine
Myc protein
Neuralgia
Neurology
Neurosciences
Original Paper
Pain
Pain perception
Potassium channels (inwardly-rectifying)
Stat1 protein
TLR4 protein
Toll-like receptors
Transcriptomics
Biomarkers
Affymetrix microarray
Inflammation
AUROC curve analysis
Neuropathic
Chronic pain
Online AccessGet full text

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Abstract In this study, we recruited 50 chronic pain (neuropathic and nociceptive) and 43 pain-free controls to identify specific blood biomarkers of chronic neuropathic pain (CNP). Affymetrix microarray was carried out on a subset of samples selected 10 CNP and 10 pain-free control participants. The most significant genes were cross-validated using the entire dataset by quantitative real-time PCR (qRT-PCR). In comparative analysis of controls and CNP patients, WLS ( P  = 4.80 × 10 –7 ), CHPT1 ( P  = 7.74 × 10 –7 ) and CASP5 ( P  = 2.30 × 10 –5 ) were highly significant, whilst FGFBP2 ( P  = 0.00162), STAT1 ( P  = 0.00223), FCRL6 ( P  = 0.00335), MYC ( P  = 0.00335), XCL2 ( P  = 0.0144) and GZMA ( P  = 0.0168) were significant in all CNP patients. A three-arm comparative analysis was also carried out with control as the reference group and CNP samples differentiated into two groups of high and low S-LANSS score using a cut-off of 12. STAT1 , XCL2 and GZMA were not significant but KIR3DL2 ( P  = 0.00838), SH2D1B ( P  = 0.00295) and CXCR31 ( P  = 0.0136) were significant in CNP high S-LANSS group (S-LANSS score > 12), along with WLS (P  = 8.40 × 10 –5 ), CHPT1 ( P  = 7.89 × 10 –4 ) , CASP5 ( P  = 0.00393) , FGFBP2 ( P  = 8.70 × 10 –4 ) and FCRL6 ( P  = 0.00199), suggesting involvement of immune pathways in CNP mechanisms. None of the genes was significant in CNP samples with low (< 12) S-LANSS score. The area under the receiver operating characteristic (AUROC) analysis showed that combination of MYC , STAT1 , TLR4 , CASP5 and WLS gene expression could be potentially used as a biomarker signature of CNP (AUROC − 0.852, (0.773, 0.931 95% CI)).
AbstractList In this study, we recruited 50 chronic pain (neuropathic and nociceptive) and 43 pain-free controls to identify specific blood biomarkers of chronic neuropathic pain (CNP). Affymetrix microarray was carried out on a subset of samples selected 10 CNP and 10 pain-free control participants. The most significant genes were cross-validated using the entire dataset by quantitative real-time PCR (qRT-PCR). In comparative analysis of controls and CNP patients, WLS ( P  = 4.80 × 10 –7 ), CHPT1 ( P  = 7.74 × 10 –7 ) and CASP5 ( P  = 2.30 × 10 –5 ) were highly significant, whilst FGFBP2 ( P  = 0.00162), STAT1 ( P  = 0.00223), FCRL6 ( P  = 0.00335), MYC ( P  = 0.00335), XCL2 ( P  = 0.0144) and GZMA ( P  = 0.0168) were significant in all CNP patients. A three-arm comparative analysis was also carried out with control as the reference group and CNP samples differentiated into two groups of high and low S-LANSS score using a cut-off of 12. STAT1 , XCL2 and GZMA were not significant but KIR3DL2 ( P  = 0.00838), SH2D1B ( P  = 0.00295) and CXCR31 ( P  = 0.0136) were significant in CNP high S-LANSS group (S-LANSS score > 12), along with WLS (P  = 8.40 × 10 –5 ), CHPT1 ( P  = 7.89 × 10 –4 ) , CASP5 ( P  = 0.00393) , FGFBP2 ( P  = 8.70 × 10 –4 ) and FCRL6 ( P  = 0.00199), suggesting involvement of immune pathways in CNP mechanisms. None of the genes was significant in CNP samples with low (< 12) S-LANSS score. The area under the receiver operating characteristic (AUROC) analysis showed that combination of MYC , STAT1 , TLR4 , CASP5 and WLS gene expression could be potentially used as a biomarker signature of CNP (AUROC − 0.852, (0.773, 0.931 95% CI)).
In this study, we recruited 50 chronic pain (neuropathic and nociceptive) and 43 pain-free controls to identify specific blood biomarkers of chronic neuropathic pain (CNP). Affymetrix microarray was carried out on a subset of samples selected 10 CNP and 10 pain-free control participants. The most significant genes were cross-validated using the entire dataset by quantitative real-time PCR (qRT-PCR). In comparative analysis of controls and CNP patients, WLS (P = 4.80 × 10–7), CHPT1 (P = 7.74 × 10–7) and CASP5 (P = 2.30 × 10–5) were highly significant, whilst FGFBP2 (P = 0.00162), STAT1 (P = 0.00223), FCRL6 (P = 0.00335), MYC (P = 0.00335), XCL2 (P = 0.0144) and GZMA (P = 0.0168) were significant in all CNP patients. A three-arm comparative analysis was also carried out with control as the reference group and CNP samples differentiated into two groups of high and low S-LANSS score using a cut-off of 12. STAT1, XCL2 and GZMA were not significant but KIR3DL2 (P = 0.00838), SH2D1B (P = 0.00295) and CXCR31 (P = 0.0136) were significant in CNP high S-LANSS group (S-LANSS score > 12), along with WLS (P = 8.40 × 10–5), CHPT1 (P = 7.89 × 10–4), CASP5 (P = 0.00393), FGFBP2 (P = 8.70 × 10–4) and FCRL6 (P = 0.00199), suggesting involvement of immune pathways in CNP mechanisms. None of the genes was significant in CNP samples with low (< 12) S-LANSS score. The area under the receiver operating characteristic (AUROC) analysis showed that combination of MYC, STAT1, TLR4, CASP5 and WLS gene expression could be potentially used as a biomarker signature of CNP (AUROC − 0.852, (0.773, 0.931 95% CI)).
Author Young, Bethan
Buckley, David A.
Johnson, Mark I.
Islam, Barira
Stephenson, John
Finn, David P.
Manca, Maurizio
McHugh, Patrick C.
Radford, Helen
Zis, Panagiotis
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Issue 3
Keywords Biomarkers
Affymetrix microarray
Inflammation
AUROC curve analysis
Neuropathic
Chronic pain
Language English
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PublicationDate 2022-09-01
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PublicationTitle Neuromolecular medicine
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SSID ssj0022111
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Snippet In this study, we recruited 50 chronic pain (neuropathic and nociceptive) and 43 pain-free controls to identify specific blood biomarkers of chronic...
SourceID pubmedcentral
proquest
crossref
springer
SourceType Open Access Repository
Aggregation Database
Publisher
StartPage 320
SubjectTerms Biomarkers
Biomedical and Life Sciences
Biomedicine
Chronic pain
Comparative analysis
DNA microarrays
Gene expression
Internal Medicine
Myc protein
Neuralgia
Neurology
Neurosciences
Original Paper
Pain
Pain perception
Potassium channels (inwardly-rectifying)
Stat1 protein
TLR4 protein
Toll-like receptors
Transcriptomics
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Title The Identification of Blood Biomarkers of Chronic Neuropathic Pain by Comparative Transcriptomics
URI https://link.springer.com/article/10.1007/s12017-021-08694-8
https://www.proquest.com/docview/2705907819
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https://pubmed.ncbi.nlm.nih.gov/PMC9402512
Volume 24
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