Jamie Burgess, Anne Marshall, Leandros Rapteas, J. Hamill Kevin, Andrew Marshall, Rayaz A. Malik, Bernhard Frank, Uazman Alam
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This automated method, although currently intended for research applications, may improve the accessibility of this diagnostic test for small fibre neuropathy in clinical settings.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Skin biopsies (<i>n</i> = 274) from 100 participants (fibromyalgia syndrome <i>n</i> = 62; idiopathic small fibre neuropathy: <i>n</i> = 16; healthy volunteers: <i>n</i> = 22) were processed using an automated immunohistochemistry platform. IENF quantification was performed by blinded examiners, with reliability assessed via a two-way mixed-effects model to evaluate inter- and intra-observer variability.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The automated staining system reproduced intra-epidermal nerve fibre density (IENFD) counts consistent with free-floating sections (mean ± standard deviation: free-floating: 5.6 ± 3.4 fibres/mm; automated: 5.9 ± 3.2 fibres/mm). A median difference of 0.3 with a lower bound 95% Confidence Interval (CI) at −0.00005 established non-inferiority against a margin of −0.4 (<i>p</i> = .08). Specifically, the inter-class correlation coefficient (class denotes consistency in measured observations) was 99% (95% CI: 0.9–1), indicating excellent agreement between free-floating and automated methods. The inter- and intra-class coefficient between examiners were both 99% (95% CI: 0.9–0.1) for IENFD, demonstrating high reliability using sections stained using the automated method.</p>\n </section>\n \n <section>\n \n <h3> Interpretation</h3>\n \n <p>Automated immunohistochemistry provides high-throughput reliable and reproducible intra-epidermal nerve fibre quantification. This method, although currently proof-of-concept, for research use only, may be more widely deployed in histopathology laboratories to increase the adoption of IENFD assessment for the diagnosis of peripheral neuropathies.</p>\n </section>\n </div>","PeriodicalId":17451,"journal":{"name":"Journal of the Peripheral Nervous System","volume":null,"pages":null},"PeriodicalIF":3.9000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jns.12650","citationCount":"0","resultStr":"{\"title\":\"Automated immunohistochemistry of intra-epidermal nerve fibres in skin biopsies: A proof-of-concept study\",\"authors\":\"Jamie Burgess, Anne Marshall, Leandros Rapteas, J. Hamill Kevin, Andrew Marshall, Rayaz A. 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Automated immunohistochemistry of intra-epidermal nerve fibres in skin biopsies: A proof-of-concept study
Aims
To develop a standardised, automated protocol for detecting protein gene product 9.5 (PGP9.5) positive intra-epidermal nerve fibres (IENFs) in skin biopsies, transitioning from the established manual technique to an automated platform. This automated method, although currently intended for research applications, may improve the accessibility of this diagnostic test for small fibre neuropathy in clinical settings.
Methods
Skin biopsies (n = 274) from 100 participants (fibromyalgia syndrome n = 62; idiopathic small fibre neuropathy: n = 16; healthy volunteers: n = 22) were processed using an automated immunohistochemistry platform. IENF quantification was performed by blinded examiners, with reliability assessed via a two-way mixed-effects model to evaluate inter- and intra-observer variability.
Results
The automated staining system reproduced intra-epidermal nerve fibre density (IENFD) counts consistent with free-floating sections (mean ± standard deviation: free-floating: 5.6 ± 3.4 fibres/mm; automated: 5.9 ± 3.2 fibres/mm). A median difference of 0.3 with a lower bound 95% Confidence Interval (CI) at −0.00005 established non-inferiority against a margin of −0.4 (p = .08). Specifically, the inter-class correlation coefficient (class denotes consistency in measured observations) was 99% (95% CI: 0.9–1), indicating excellent agreement between free-floating and automated methods. The inter- and intra-class coefficient between examiners were both 99% (95% CI: 0.9–0.1) for IENFD, demonstrating high reliability using sections stained using the automated method.
Interpretation
Automated immunohistochemistry provides high-throughput reliable and reproducible intra-epidermal nerve fibre quantification. This method, although currently proof-of-concept, for research use only, may be more widely deployed in histopathology laboratories to increase the adoption of IENFD assessment for the diagnosis of peripheral neuropathies.
期刊介绍：
The Journal of the Peripheral Nervous System is the official journal of the Peripheral Nerve Society. Founded in 1996, it is the scientific journal of choice for clinicians, clinical scientists and basic neuroscientists interested in all aspects of biology and clinical research of peripheral nervous system disorders.
The Journal of the Peripheral Nervous System is a peer-reviewed journal that publishes high quality articles on cell and molecular biology, genomics, neuropathic pain, clinical research, trials, and unique case reports on inherited and acquired peripheral neuropathies.
Original articles are organized according to the topic in one of four specific areas: Mechanisms of Disease, Genetics, Clinical Research, and Clinical Trials.
The journal also publishes regular review papers on hot topics and Special Issues on basic, clinical, or assembled research in the field of peripheral nervous system disorders. Authors interested in contributing a review-type article or a Special Issue should contact the Editorial Office to discuss the scope of the proposed article with the Editor-in-Chief.
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