Skin biopsy: an emerging tool for the diagnosis of protein misfolding diseases of the central nervous system

IF 17.5 1区 医学 Q1 NEUROSCIENCES
Wei Zhu, Hao-Lun Sun, Yan-Jiang Wang, Xia Lei, Xian-Le Bu
{"title":"Skin biopsy: an emerging tool for the diagnosis of protein misfolding diseases of the central nervous system","authors":"Wei Zhu, Hao-Lun Sun, Yan-Jiang Wang, Xia Lei, Xian-Le Bu","doi":"10.1186/s13024-025-00871-8","DOIUrl":null,"url":null,"abstract":"<p>Abnormal aggregation of misfolded proteins is a common characteristic of many neurodegenerative diseases [1]. Brain protein aggregates formed by phosphorylated tau, amyloid-beta (Aβ), α-synuclein, or prion proteins are toxic and can cause gradual neuronal loss and death in the central nervous system (CNS). These aggregates are linked to many neurodegenerative diseases such as Alzheimer’s disease (AD), and Parkinson’s disease (PD). Rapid advancements in brain PET imaging and body fluid biomarkers have enabled the precise diagnosis of these disorders. However, brain PET scans are expensive, cerebrospinal fluid (CSF) collection is an invasive procedure, and precise diagnostic tools remain limited. Therefore, it is imperative to develop simpler and more accessible diagnostic approaches. Skin tissue shares a common developmental origin with the CNS, as both are derived from the ectoderm during embryogenesis, and skin is rich in nerve fibers. Multiple misfolded proteins, including α-synuclein, tau, and Aβ, are deposited not only in the brain but also in skin tissue [2,3,4]. The biological classification of PD emphasizes the necessity of detecting pathological α-synuclein for diagnosis, with skin biomarkers being particularly noted as an accessible and promising detection method [5, 6]. Skin biopsy samples are more accessible than brain PET and CSF samples. Therefore, skin biopsy holds potential as a biomarker-based method for the diagnosis of protein aggregation diseases.</p><p>Synucleinopathies are defined as a group of neurodegenerative disorders characterized by the abnormal accumulation of α-synuclein in the brain. These include PD, dementia with Lewy bodies (DLB), multiple system atrophy (MSA), and pure autonomic failure (PAF). Recently, Gibbons et al. conducted a blinded, multicenter, cross-sectional study to evaluate the rate of positivity for cutaneous α-synuclein deposition among patients with synucleinopathies (PD, DLB, MSA, and PAF) [7]. The researchers enrolled 151 controls and 277 patients with synucleinopathies diagnosed on the basis of clinical consensus criteria and the findings were confirmed by an expert review panel. Among the participants, 343 participants (223 clinically diagnosed with a specific synucleinopathy and 120 who met the criteria for serving as controls without a synucleinopathy) were included in the primary analysis. Skin biopsy samples were taken from the distal leg, the distal thigh, and the posterior cervical region. Among those patients clinically diagnosed with a specific synucleinopathy, 95.5% (213 of 223) had a skin biopsy sample that was positive for phosphorylated α-synuclein. Specifically, phosphorylated α-synuclein positivity in skin biopsy samples was observed for 92.7% of PD patients, 98.2% of MSA patients, 96% of DLB patients, and 100% of PAF patients. In contrast, only 3.3% (4 of 120) of those in the control group had skin biopsy samples that were positive for phosphorylated α-synuclein. In the secondary analysis, among 27 patients with undifferentiated synucleinopathy (those who did not meet expert panel diagnostic criteria for a specific synucleinopathy), 85.2% (23 of 27) had a skin biopsy sample that was positive for phosphorylated α-synuclein. Among those 58 participants with an unknown diagnosis who did not meet prespecified diagnostic criteria for a synucleinopathy (including 30 patients originally diagnosed with a synucleinopathy and 28 controls), 55.2% (32 of 58) had a skin biopsy sample that was positive for phosphorylated α-synuclein. Moreover, total phosphorylated α-synuclein deposition in the skin was positively correlated with disease severity.</p><p>Tauopathies are a group of neurodegenerative disorders characterized by the abnormal deposition of hyperphosphorylated tau protein in the brain; these disorders include AD, Pick’s disease (PiD), progressive supranuclear palsy (PSP), and corticobasal degeneration (CBD) [8]. Wang et al. assessed the diagnostic potential of tau seeding activity in the skin of participants with neuropathologically confirmed tauopathies. They enrolled 46 AD, 5 CBD, 33 PSP, and 6 PiD patients and 43 healthy and examined pathological tau seed amplification assay (tau-SAA) by performing ultrasensitive real-time quaking-induced conversion (RT-QuIC) in skin biopsy samples taken from the lateral region to C7. They reported that skin tau-SAA had a higher sensitivity (75–80%) and specificity (95–100%) for detecting brain tauopathy. Skin tau-SAA could differentiate AD from non-AD tauopathies with a sensitivity of 80.49% and a specificity of 95.35%. In addition, skin tau-SAA findings were associated with Braak staging in autopsied brain tissues, indicating that skin tau seeding activity can reflect the severity of tauopathies.</p><p>Human prion diseases are fatal neurodegenerative disorders characterized by the accumulation of misfolded prion protein in the brain. Chen et al. compared the diagnostic efficacy of CSF and multisite skin biopsies in vivo to evaluate the potential of skin RT-QuIC technology in the diagnosis of prion diseases [9]. For this study, the researchers enrolled 101 patients with prion diseases (including both sporadic and hereditary types) and 23 non-prion disease patients. Skin biopsy samples were collected from the following sites: the area near the ear, upper arm, lower back, and inner thigh. The analysis revealed that the RT-QuIC sensitivity across different skin sites was 84.9% for the area near the ear, 80.0% for the upper arm, 83.7% for the lower back, and 84.8% for the inner thigh under three dilution conditions. Among these areas, the area near the ear presented the greatest consistency under various dilution conditions. When any two samples from the area near the ear, the inner thigh, and the lower back were combined, the RT-QuIC sensitivity reached 92.1% (93 of 101), which was significantly greater than that of CSF analysis alone (75.5%). Furthermore, when samples from all the skin sites were combined, the sensitivity further increased to 95.0%. This study highlights that the prion seeding activity determined by RT-QuIC in skin biopsy samples is superior to that determined by CSF analysis for the diagnosis of prion diseases.</p><p>The above studies demonstrated that a high proportion of individuals with synucleinopathies, tauopathies and prion diseases had abnormal accumulation of α-synuclein, tau, or prion, respectively, in the skin, and quantitative measurements of these misfolded proteins in the skin could serve as diagnostic biomarkers for these neurodegenerative disorders (Fig. 1). Although 95.5% of patients clinically diagnosed with specific synucleinopathies had skin biopsy samples that were positive for phosphorylated α-synuclein, the detection rate was lower for PD patients than for MSA, DLB and PAF patients. These findings indicate that PD, DLB, and MSA exhibit differences in skin synuclein deposition patterns, which may reflect distinct pathological mechanisms and clinical phenotypes. Skin tau seeding activity exhibited moderate diagnostic sensitivity but high specificity for tauopathies. Although the diagnostic accuracy of skin tau seeding activity for AD is less than that of blood biomarkers such as phosphorylated tau 231 and 217 [10], skin tau seeding activity may serve as a supplementary tool for the diagnosis and differential diagnosis of tauopathies. Currently, the diagnosis of prion diseases in clinical practice is often challenging. Prion seeding activity as determined by RT-QuIC analysis of multisite skin biopsy samples was significantly more accurate than CSF activity for the diagnosis of prion diseases, and RT-QuIC analysis may serve as a convenient method for the early and accurate diagnosis of prion diseases.</p><figure><figcaption><b data-test=\"figure-caption-text\">Fig. 1</b></figcaption><picture><source srcset=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13024-025-00871-8/MediaObjects/13024_2025_871_Fig1_HTML.png?as=webp\" type=\"image/webp\"/><img alt=\"figure 1\" aria-describedby=\"Fig1\" height=\"677\" loading=\"lazy\" src=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13024-025-00871-8/MediaObjects/13024_2025_871_Fig1_HTML.png\" width=\"685\"/></picture><p>Skin-based biomarkers for the diagnosis of protein misfolding diseases of the central nervous system. Multiple misfolded proteins, including α-synuclein, tau, and prion, are deposited not only in the brain but also in skin tissue. The detection of pathological protein aggregates in skin biopsy samples holds significant promise for the diagnosis of neurodegenerative diseases. Abbreviations: AD, Alzheimer’s disease; C7, seventh cervical vertebrum; CBD, corticobasal degeneration; DLB, dementia with Lewy bodies; MSA, multiple system atrophy; PD, Parkinson’s disease; PiD, Pick’s disease; PSP, progressive supranuclear palsy; IF, immunofluorescence; RT-QuIC, real-time quaking-induced conversion</p><span>Full size image</span><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure><p>There are several limitations in these studies. First, the diagnosis of synucleinopathies was dependent on clinical symptoms and evaluation by an independent expert review panel, and direct evidence of brain α-synuclein pathology was lacking. Second, the study of skin tau seeding activity for diagnosing tauopathies was limited by small sample sizes, and further research is needed to determine whether combining multisite skin biopsy sample analysis of tau seeding activity could increase the diagnostic efficacy of this method for tauopathy diagnosis.</p><p>Skin-based biomarker analysis for the diagnosis of neurodegenerative diseases has the following unique advantages: skin samples are easily obtained via biopsy, and this detection method costs less than brain PET; skin biopsies are less invasive and better tolerated than lumbar punctures are; and skin biopsies are convenient for dynamically monitoring the disease progression of patients during follow-up. However, several issues need to be addressed before skin biopsies for neurodegenerative disease diagnosis can be widely implemented in clinical practice. First, the primary deposition sites of pathogenic proteins in the skin may differ among various neurodegenerative diseases, highlighting the need to identify the most diagnostically effective skin biopsy locations with the highest diagnostic efficacy. Second, the temporal relationship between pathogenic protein deposition in the skin and the brain must be clarified to evaluate the potential of skin biopsies for early diagnosis. Third, the correlation between abnormal protein aggregates in the skin and disease-related biomarkers in CSF and the brain, as well as the association of skin protein aggregation with disease severity, should be investigated to determine the utility of this method for predicting disease progression and prognosis.</p><p>In conclusion, the detection of pathological protein aggregates in skin biopsy samples holds significant promise as a diagnostic biomarker of neurodegenerative diseases. Large-scale cohort studies are needed to validate the clinical utility of skin-based diagnostic approaches for these disorders in real-world settings.</p><p>No datasets were generated or analysed during the current study.</p><dl><dt style=\"min-width:50px;\"><dfn>AD:</dfn></dt><dd>\n<p>Alzheimer’s disease</p>\n</dd><dt style=\"min-width:50px;\"><dfn>Aβ:</dfn></dt><dd>\n<p>Amyloid-beta</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CBD:</dfn></dt><dd>\n<p>Corticobasal degeneration</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CNS:</dfn></dt><dd>\n<p>Central nervous system</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CSF:</dfn></dt><dd>\n<p>Cerebrospinal fluid</p>\n</dd><dt style=\"min-width:50px;\"><dfn>C7:</dfn></dt><dd>\n<p>Seventh cervical vertebrum</p>\n</dd><dt style=\"min-width:50px;\"><dfn>DLB:</dfn></dt><dd>\n<p>Dementia with Lewy bodies</p>\n</dd><dt style=\"min-width:50px;\"><dfn>MSA:</dfn></dt><dd>\n<p>Multiple system atrophy</p>\n</dd><dt style=\"min-width:50px;\"><dfn>PAF:</dfn></dt><dd>\n<p>Pure autonomic failure</p>\n</dd><dt style=\"min-width:50px;\"><dfn>PD:</dfn></dt><dd>\n<p>Parkinson’s disease</p>\n</dd><dt style=\"min-width:50px;\"><dfn>PiD:</dfn></dt><dd>\n<p>Pick’s disease</p>\n</dd><dt style=\"min-width:50px;\"><dfn>PSP:</dfn></dt><dd>\n<p>Progressive supranuclear palsy</p>\n</dd><dt style=\"min-width:50px;\"><dfn>RT-QuIC:</dfn></dt><dd>\n<p>Real-time quaking-induced conversion</p>\n</dd><dt style=\"min-width:50px;\"><dfn>SAA:</dfn></dt><dd>\n<p>Seed amplification assay</p>\n</dd></dl><ol data-track-component=\"outbound reference\" data-track-context=\"references section\"><li data-counter=\"1.\"><p>Aguzzi A, O’Connor T. 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Alzheimers Dement. 2024;20:5143–69.</p><p>Article PubMed PubMed Central Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><p>None.</p><p>This work was supported by the Natural Science Foundation of Chongqing Municipality (No. CSTB2023NSCQ-JQX0019), and the National Natural Science Foundation of China (U22A20294).</p><span>Author notes</span><ol><li><p>Wei Zhu and Hao-Lun Sun contributed equally to this work.</p></li></ol><h3>Authors and Affiliations</h3><ol><li><p>Department of Dermatology, Daping Hospital, Third Military Medical University, Chongqing, 400042, China</p><p>Wei Zhu &amp; Xia Lei</p></li><li><p>Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China</p><p>Hao-Lun Sun, Yan-Jiang Wang &amp; Xian-Le Bu</p></li><li><p>Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, 400042, China</p><p>Hao-Lun Sun, Yan-Jiang Wang &amp; Xian-Le Bu</p></li><li><p>Institute of Brain and Intelligence, Third Military Medical University, Chongqing, 400038, China</p><p>Yan-Jiang Wang &amp; Xian-Le Bu</p></li><li><p>State Key Laboratory of Trauma and Chemical Poisoning (Third Military Medical University), Chongqing, 400042, China</p><p>Yan-Jiang Wang &amp; Xian-Le Bu</p></li><li><p>Key Laboratory of Geriatric Cardiovascular and Cerebrovascular Disease, Third Military Medical University, Ministry of Education of China, Chongqing, China</p><p>Yan-Jiang Wang &amp; Xian-Le Bu</p></li></ol><span>Authors</span><ol><li><span>Wei Zhu</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Hao-Lun Sun</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Yan-Jiang Wang</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Xia Lei</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Xian-Le Bu</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Contributions</h3><p>XLB and XL conceived and designed the manuscript. WZ and HLS wrote the first draft of the manuscript. XLB, XL and YJW edited and contributed to the final draft. All authors read and approved the final manuscript.</p><h3>Corresponding authors</h3><p>Correspondence to Xia Lei or Xian-Le Bu.</p><h3>Ethics approval and consent to participate</h3>\n<p>Not applicable.</p>\n<h3>Consent for publication</h3>\n<p>Not applicable.</p>\n<h3>Competing interests</h3>\n<p>The authors declare no competing interests.</p><h3>Publisher’s note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.</p>\n<p>Reprints and permissions</p><img alt=\"Check for updates. 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Abstract

Abnormal aggregation of misfolded proteins is a common characteristic of many neurodegenerative diseases [1]. Brain protein aggregates formed by phosphorylated tau, amyloid-beta (Aβ), α-synuclein, or prion proteins are toxic and can cause gradual neuronal loss and death in the central nervous system (CNS). These aggregates are linked to many neurodegenerative diseases such as Alzheimer’s disease (AD), and Parkinson’s disease (PD). Rapid advancements in brain PET imaging and body fluid biomarkers have enabled the precise diagnosis of these disorders. However, brain PET scans are expensive, cerebrospinal fluid (CSF) collection is an invasive procedure, and precise diagnostic tools remain limited. Therefore, it is imperative to develop simpler and more accessible diagnostic approaches. Skin tissue shares a common developmental origin with the CNS, as both are derived from the ectoderm during embryogenesis, and skin is rich in nerve fibers. Multiple misfolded proteins, including α-synuclein, tau, and Aβ, are deposited not only in the brain but also in skin tissue [2,3,4]. The biological classification of PD emphasizes the necessity of detecting pathological α-synuclein for diagnosis, with skin biomarkers being particularly noted as an accessible and promising detection method [5, 6]. Skin biopsy samples are more accessible than brain PET and CSF samples. Therefore, skin biopsy holds potential as a biomarker-based method for the diagnosis of protein aggregation diseases.

Synucleinopathies are defined as a group of neurodegenerative disorders characterized by the abnormal accumulation of α-synuclein in the brain. These include PD, dementia with Lewy bodies (DLB), multiple system atrophy (MSA), and pure autonomic failure (PAF). Recently, Gibbons et al. conducted a blinded, multicenter, cross-sectional study to evaluate the rate of positivity for cutaneous α-synuclein deposition among patients with synucleinopathies (PD, DLB, MSA, and PAF) [7]. The researchers enrolled 151 controls and 277 patients with synucleinopathies diagnosed on the basis of clinical consensus criteria and the findings were confirmed by an expert review panel. Among the participants, 343 participants (223 clinically diagnosed with a specific synucleinopathy and 120 who met the criteria for serving as controls without a synucleinopathy) were included in the primary analysis. Skin biopsy samples were taken from the distal leg, the distal thigh, and the posterior cervical region. Among those patients clinically diagnosed with a specific synucleinopathy, 95.5% (213 of 223) had a skin biopsy sample that was positive for phosphorylated α-synuclein. Specifically, phosphorylated α-synuclein positivity in skin biopsy samples was observed for 92.7% of PD patients, 98.2% of MSA patients, 96% of DLB patients, and 100% of PAF patients. In contrast, only 3.3% (4 of 120) of those in the control group had skin biopsy samples that were positive for phosphorylated α-synuclein. In the secondary analysis, among 27 patients with undifferentiated synucleinopathy (those who did not meet expert panel diagnostic criteria for a specific synucleinopathy), 85.2% (23 of 27) had a skin biopsy sample that was positive for phosphorylated α-synuclein. Among those 58 participants with an unknown diagnosis who did not meet prespecified diagnostic criteria for a synucleinopathy (including 30 patients originally diagnosed with a synucleinopathy and 28 controls), 55.2% (32 of 58) had a skin biopsy sample that was positive for phosphorylated α-synuclein. Moreover, total phosphorylated α-synuclein deposition in the skin was positively correlated with disease severity.

Tauopathies are a group of neurodegenerative disorders characterized by the abnormal deposition of hyperphosphorylated tau protein in the brain; these disorders include AD, Pick’s disease (PiD), progressive supranuclear palsy (PSP), and corticobasal degeneration (CBD) [8]. Wang et al. assessed the diagnostic potential of tau seeding activity in the skin of participants with neuropathologically confirmed tauopathies. They enrolled 46 AD, 5 CBD, 33 PSP, and 6 PiD patients and 43 healthy and examined pathological tau seed amplification assay (tau-SAA) by performing ultrasensitive real-time quaking-induced conversion (RT-QuIC) in skin biopsy samples taken from the lateral region to C7. They reported that skin tau-SAA had a higher sensitivity (75–80%) and specificity (95–100%) for detecting brain tauopathy. Skin tau-SAA could differentiate AD from non-AD tauopathies with a sensitivity of 80.49% and a specificity of 95.35%. In addition, skin tau-SAA findings were associated with Braak staging in autopsied brain tissues, indicating that skin tau seeding activity can reflect the severity of tauopathies.

Human prion diseases are fatal neurodegenerative disorders characterized by the accumulation of misfolded prion protein in the brain. Chen et al. compared the diagnostic efficacy of CSF and multisite skin biopsies in vivo to evaluate the potential of skin RT-QuIC technology in the diagnosis of prion diseases [9]. For this study, the researchers enrolled 101 patients with prion diseases (including both sporadic and hereditary types) and 23 non-prion disease patients. Skin biopsy samples were collected from the following sites: the area near the ear, upper arm, lower back, and inner thigh. The analysis revealed that the RT-QuIC sensitivity across different skin sites was 84.9% for the area near the ear, 80.0% for the upper arm, 83.7% for the lower back, and 84.8% for the inner thigh under three dilution conditions. Among these areas, the area near the ear presented the greatest consistency under various dilution conditions. When any two samples from the area near the ear, the inner thigh, and the lower back were combined, the RT-QuIC sensitivity reached 92.1% (93 of 101), which was significantly greater than that of CSF analysis alone (75.5%). Furthermore, when samples from all the skin sites were combined, the sensitivity further increased to 95.0%. This study highlights that the prion seeding activity determined by RT-QuIC in skin biopsy samples is superior to that determined by CSF analysis for the diagnosis of prion diseases.

The above studies demonstrated that a high proportion of individuals with synucleinopathies, tauopathies and prion diseases had abnormal accumulation of α-synuclein, tau, or prion, respectively, in the skin, and quantitative measurements of these misfolded proteins in the skin could serve as diagnostic biomarkers for these neurodegenerative disorders (Fig. 1). Although 95.5% of patients clinically diagnosed with specific synucleinopathies had skin biopsy samples that were positive for phosphorylated α-synuclein, the detection rate was lower for PD patients than for MSA, DLB and PAF patients. These findings indicate that PD, DLB, and MSA exhibit differences in skin synuclein deposition patterns, which may reflect distinct pathological mechanisms and clinical phenotypes. Skin tau seeding activity exhibited moderate diagnostic sensitivity but high specificity for tauopathies. Although the diagnostic accuracy of skin tau seeding activity for AD is less than that of blood biomarkers such as phosphorylated tau 231 and 217 [10], skin tau seeding activity may serve as a supplementary tool for the diagnosis and differential diagnosis of tauopathies. Currently, the diagnosis of prion diseases in clinical practice is often challenging. Prion seeding activity as determined by RT-QuIC analysis of multisite skin biopsy samples was significantly more accurate than CSF activity for the diagnosis of prion diseases, and RT-QuIC analysis may serve as a convenient method for the early and accurate diagnosis of prion diseases.

Fig. 1
Abstract Image

Skin-based biomarkers for the diagnosis of protein misfolding diseases of the central nervous system. Multiple misfolded proteins, including α-synuclein, tau, and prion, are deposited not only in the brain but also in skin tissue. The detection of pathological protein aggregates in skin biopsy samples holds significant promise for the diagnosis of neurodegenerative diseases. Abbreviations: AD, Alzheimer’s disease; C7, seventh cervical vertebrum; CBD, corticobasal degeneration; DLB, dementia with Lewy bodies; MSA, multiple system atrophy; PD, Parkinson’s disease; PiD, Pick’s disease; PSP, progressive supranuclear palsy; IF, immunofluorescence; RT-QuIC, real-time quaking-induced conversion

Full size image

There are several limitations in these studies. First, the diagnosis of synucleinopathies was dependent on clinical symptoms and evaluation by an independent expert review panel, and direct evidence of brain α-synuclein pathology was lacking. Second, the study of skin tau seeding activity for diagnosing tauopathies was limited by small sample sizes, and further research is needed to determine whether combining multisite skin biopsy sample analysis of tau seeding activity could increase the diagnostic efficacy of this method for tauopathy diagnosis.

Skin-based biomarker analysis for the diagnosis of neurodegenerative diseases has the following unique advantages: skin samples are easily obtained via biopsy, and this detection method costs less than brain PET; skin biopsies are less invasive and better tolerated than lumbar punctures are; and skin biopsies are convenient for dynamically monitoring the disease progression of patients during follow-up. However, several issues need to be addressed before skin biopsies for neurodegenerative disease diagnosis can be widely implemented in clinical practice. First, the primary deposition sites of pathogenic proteins in the skin may differ among various neurodegenerative diseases, highlighting the need to identify the most diagnostically effective skin biopsy locations with the highest diagnostic efficacy. Second, the temporal relationship between pathogenic protein deposition in the skin and the brain must be clarified to evaluate the potential of skin biopsies for early diagnosis. Third, the correlation between abnormal protein aggregates in the skin and disease-related biomarkers in CSF and the brain, as well as the association of skin protein aggregation with disease severity, should be investigated to determine the utility of this method for predicting disease progression and prognosis.

In conclusion, the detection of pathological protein aggregates in skin biopsy samples holds significant promise as a diagnostic biomarker of neurodegenerative diseases. Large-scale cohort studies are needed to validate the clinical utility of skin-based diagnostic approaches for these disorders in real-world settings.

No datasets were generated or analysed during the current study.

AD:

Alzheimer’s disease

Aβ:

Amyloid-beta

CBD:

Corticobasal degeneration

CNS:

Central nervous system

CSF:

Cerebrospinal fluid

C7:

Seventh cervical vertebrum

DLB:

Dementia with Lewy bodies

MSA:

Multiple system atrophy

PAF:

Pure autonomic failure

PD:

Parkinson’s disease

PiD:

Pick’s disease

PSP:

Progressive supranuclear palsy

RT-QuIC:

Real-time quaking-induced conversion

SAA:

Seed amplification assay

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This work was supported by the Natural Science Foundation of Chongqing Municipality (No. CSTB2023NSCQ-JQX0019), and the National Natural Science Foundation of China (U22A20294).

Author notes
  1. Wei Zhu and Hao-Lun Sun contributed equally to this work.

Authors and Affiliations

  1. Department of Dermatology, Daping Hospital, Third Military Medical University, Chongqing, 400042, China

    Wei Zhu & Xia Lei

  2. Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China

    Hao-Lun Sun, Yan-Jiang Wang & Xian-Le Bu

  3. Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, 400042, China

    Hao-Lun Sun, Yan-Jiang Wang & Xian-Le Bu

  4. Institute of Brain and Intelligence, Third Military Medical University, Chongqing, 400038, China

    Yan-Jiang Wang & Xian-Le Bu

  5. State Key Laboratory of Trauma and Chemical Poisoning (Third Military Medical University), Chongqing, 400042, China

    Yan-Jiang Wang & Xian-Le Bu

  6. Key Laboratory of Geriatric Cardiovascular and Cerebrovascular Disease, Third Military Medical University, Ministry of Education of China, Chongqing, China

    Yan-Jiang Wang & Xian-Le Bu

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XLB and XL conceived and designed the manuscript. WZ and HLS wrote the first draft of the manuscript. XLB, XL and YJW edited and contributed to the final draft. All authors read and approved the final manuscript.

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Correspondence to Xia Lei or Xian-Le Bu.

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Zhu, W., Sun, HL., Wang, YJ. et al. Skin biopsy: an emerging tool for the diagnosis of protein misfolding diseases of the central nervous system. Mol Neurodegeneration 20, 79 (2025). https://doi.org/10.1186/s13024-025-00871-8

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Keywords

  • Neurodegenerative diseases
  • Protein misfolding
  • Skin biopsy
  • Αlpha-synuclein
  • Tau
  • Prion
  • Diagnosis
皮肤活组织检查:一种用于诊断中枢神经系统蛋白质错误折叠疾病的新兴工具
比较脑脊液和多部位皮肤活检在体内的诊断效果,以评估皮肤RT-QuIC技术在朊病毒疾病诊断中的潜力[9]。在这项研究中,研究人员招募了101例朊病毒疾病患者(包括散发性和遗传性)和23例非朊病毒疾病患者。皮肤活检样本采集于以下部位:耳朵附近、上臂、下背部和大腿内侧。分析显示,在三种稀释条件下,不同皮肤部位的RT-QuIC敏感性为耳朵附近84.9%,上臂80.0%,下背部83.7%,大腿内侧84.8%。其中,在不同稀释条件下,耳朵附近的稠度最大。当合并耳旁、大腿内侧和下背部的任意两个样本时,RT-QuIC灵敏度达到92.1%(93 / 101),显著高于单独分析CSF的灵敏度(75.5%)。此外,当所有皮肤部位的样本组合时,敏感性进一步提高到95.0%。本研究强调,RT-QuIC在皮肤活检样本中测定的朊病毒播种活性优于脑脊液分析对朊病毒疾病的诊断。上述研究表明,高比例的突触核蛋白病、tau病和朊病毒疾病患者在皮肤中分别有α-突触核蛋白、tau或朊病毒的异常积聚,皮肤中这些错误折叠蛋白的定量测量可以作为这些神经退行性疾病的诊断生物标志物(图1)。尽管95.5%临床诊断为特异性突触核蛋白病的患者的皮肤活检样本中磷酸化α-突触核蛋白呈阳性,但PD患者的检出率低于MSA, DLB和PAF患者。这些结果表明,PD、DLB和MSA在皮肤突触核蛋白沉积模式上存在差异,这可能反映了不同的病理机制和临床表型。皮肤tau种子活性表现出中度诊断敏感性,但对tau病具有高特异性。虽然皮肤tau种子活性对AD的诊断准确性低于血液生物标志物,如磷酸化tau 231和217[10],但皮肤tau种子活性可以作为tau病变诊断和鉴别诊断的补充工具。目前,在临床实践中,朊病毒疾病的诊断往往具有挑战性。多部位皮肤活检标本RT-QuIC检测的朊病毒播种活性对朊病毒疾病的诊断准确率明显高于脑脊液活性,RT-QuIC分析可作为早期准确诊断朊病毒疾病的便捷方法。基于皮肤的生物标志物用于诊断中枢神经系统蛋白质错误折叠疾病。多种错误折叠蛋白,包括α-突触核蛋白、tau蛋白和朊病毒,不仅沉积在大脑中,也沉积在皮肤组织中。皮肤活检样本中病理蛋白聚集的检测对神经退行性疾病的诊断具有重要的前景。缩写:AD,阿尔茨海默病;C7,第七颈椎;CBD,皮质基底变性;DLB,路易体痴呆;MSA,多系统萎缩;PD,帕金森病;PiD,匹克氏病;PSP,进行性核上性麻痹;如果,免疫荧光;RT-QuIC,实时地震诱导转换全尺寸图像在这些研究中存在一些局限性。首先,突触核蛋白病的诊断依赖于临床症状和独立专家评审小组的评估,缺乏脑α-突触核蛋白病理的直接证据。其次,皮肤tau种子活性诊断tau病变的研究受到样本量小的限制,结合多部位皮肤活检样本分析tau种子活性是否可以提高该方法对tau病变的诊断效能,还需要进一步的研究。基于皮肤的生物标志物分析用于神经退行性疾病的诊断具有以下独特的优势:皮肤样本容易通过活检获得,并且这种检测方法的成本低于脑部PET;与腰椎穿刺相比,皮肤活检侵入性更小,耐受性更好;皮肤活检便于在随访中动态监测患者的病情进展。然而,在神经退行性疾病的皮肤活检诊断可以广泛应用于临床实践之前,有几个问题需要解决。首先,在不同的神经退行性疾病中,致病性蛋白在皮肤中的主要沉积部位可能不同,因此需要确定诊断效率最高、诊断效果最好的皮肤活检部位。 其次,必须明确皮肤中致病性蛋白沉积与大脑之间的时间关系,以评估皮肤活检对早期诊断的潜力。第三,应该研究皮肤中异常蛋白聚集与脑脊液和大脑中疾病相关生物标志物之间的相关性,以及皮肤蛋白聚集与疾病严重程度的相关性,以确定该方法在预测疾病进展和预后方面的实用性。总之,皮肤活检样本中病理蛋白聚集的检测作为神经退行性疾病的诊断生物标志物具有重要的前景。需要大规模队列研究来验证基于皮肤的诊断方法在现实世界中对这些疾病的临床应用。在本研究中没有生成或分析数据集。AD:阿尔茨海默病Aβ:淀粉样蛋白- β acbd:皮质基底变性cns:中枢神经系统csf:脑脊液c7:第七颈椎dlb:路易体痴呆msa:多系统萎缩paf:纯自主神经功能衰竭repd:帕金森病epid:匹克病epsp:进行性核上麻痹syrt - quic:实时震颤诱导转化saa:种子扩增试验aguzzi A, O 'Connor T.蛋白聚集性疾病:致致性和治疗性。新药物发现。2010;9:237-48。文章中科院PubMed bbb学者Joachim CL, Mori H, Selkoe DJ。阿尔茨海默病中淀粉样蛋白沉积在大脑以外的组织中。大自然。1989;341:226-30。[CAS PubMed bbb]学者Gibbons C, Wang N, Rajan S, Kern D, Palma JA, Kaufmann H, Freeman R.多系统萎缩和帕金森病患者皮肤α -突触核蛋白特征。神经学。2023;100:e1529-39。文章中科院PubMed PubMed Central bbb学者Vacchi E, Lazzarini E, Pinton S, Chiaro G, Disanto G, Marchi F, Robert T, Staedler C, Galati S, Gobbi C,等。皮肤活组织检查中的Tau蛋白定量可区分Tau病和α -突触核蛋白病。大脑。2022;145:2755 - 68。[文章]Simuni T, Chahine LM, postm K, Brumm M, Buracchio T, Campbell M, Chowdhury S, Coffey C, Concha-Marambio L, Dam T,等。神经元α-突触核蛋白疾病的生物学定义:迈向研究的综合分期系统。中华神经科杂志。2024;23:178-90。文章来源:中国科学院PubMed谷歌学者Höglinger GU, Adler CH, Berg D, Klein C, Outeiro TF, Poewe W, Postuma R, Stoessl AJ, Lang AE。帕金森病的生物学分类:诊断标准的协同研究。中华神经科杂志。2024;23:191-204。[J][学者]Gibbons CH, Levine T, Adler C, Bellaire B, Wang N, Stohl J, Agarwal P, Aldridge GM, Barboi A, Evidente VGH,等。突触核蛋白病患者磷酸化α -突触核蛋白的皮肤活检检测。《美国医学协会杂志》上。2024; 331:1298 - 306。文章中科院PubMed PubMed Central bbb学者Wang Z, Wu L, Gerasimenko M, Gilliland T, Shah ZSA, Lomax E, Yang Y, Gunzler SA, Donadio V, Liguori R,等。皮肤错误折叠Tau蛋白的种子活性作为Tau病的生物标志物。神经退行性疾病杂志。2024;19:92。文章中科院PubMed PubMed Central bbb学者陈振宇,石强,肖凯,孔宇,梁道林,王永华,闵锐,张杰,王忠,叶华,等。多部位皮肤活检与脑脊液中朊病毒播种活性在朊病毒疾病诊断中的比较中华神经科杂志。2024;81:1263-73。[j][学者Jack CR Jr., Andrews JS, Beach TG, Buracchio T, Dunn B, Graf A, Hansson O, Ho C, Jagust W, McDade E,等。]阿尔茨海默病诊断和分期的修订标准:阿尔茨海默病协会工作组。阿尔茨海默氏症。2024;20:5143-69。文章PubMed PubMed Central谷歌学者下载参考文献无项目资助:重庆市自然科学基金项目(项目编号:1139111196);CSTB2023NSCQ-JQX0019),国家自然科学基金项目(U22A20294)。作者注意到朱伟和孙浩伦对这项工作也有同样的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular Neurodegeneration
Molecular Neurodegeneration 医学-神经科学
CiteScore
23.00
自引率
4.60%
发文量
78
审稿时长
6-12 weeks
期刊介绍: Molecular Neurodegeneration, an open-access, peer-reviewed journal, comprehensively covers neurodegeneration research at the molecular and cellular levels. Neurodegenerative diseases, such as Alzheimer's, Parkinson's, Huntington's, and prion diseases, fall under its purview. These disorders, often linked to advanced aging and characterized by varying degrees of dementia, pose a significant public health concern with the growing aging population. Recent strides in understanding the molecular and cellular mechanisms of these neurodegenerative disorders offer valuable insights into their pathogenesis.
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