Quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Daniela Cretu, Kun Liang, Punit Saraon, Ihor Batruch, Eleftherios P Diamandis, Vinod Chandran

ABSTRACT

BACKGROUND: Psoriatic arthritis (PsA) is a distinct inflammatory arthritis occurring in 30% of psoriasis patients. There is a high prevalence of undiagnosed PsA in psoriasis patients; therefore, identifying soluble biomarkers for PsA could help in screening psoriasis patients for appropriate referral to a rheumatologist. Potential PsA biomarkers likely originate in sites of inflammation, such as the skin, and subsequently enter systemic circulation. Our goal was to identify candidate PsA biomarkers by comparing the proteome of skin biopsies obtained from patients with PsA to that from patients with psoriasis without PsA. METHODS: Skin biopsies were obtained from involved and uninvolved skin of 10 PsA and 10 age/gender-matched psoriasis patients without PsA (PsC). Using strong cation exchange chromatography, followed by label-free quantitative tandem mass spectrometry, we characterized the proteomes of pooled skin samples. Extracted ion current intensities were used to calculate protein abundance ratios, and these were utilized to identify differentially regulated proteins. RESULTS: Forty-seven proteins were elevated in PsA-derived skin compared to PsC-derived skin. Selected reaction monitoring assays were developed to quantify these potential PsA markers in individual skin samples, and 8 markers were confirmed in an independent sample set. ITGB5 and POSTN were measured in serum samples from 33 PsA and 15 PsC patients, using enzyme-linked immunosorbent assays. ITGB5 was significantly elevated in PsA serum (P < 0.01), and POSTN showed a trend. ITGB5 and POSTN correlated significantly in both patient groups (r = 0.472, P < 0.001). CONCLUSION: Proteomic analysis of PsA and PsC skin identified eight new candidate biomarkers. These markers need to be validated with a larger and independent cohort, in order to delineate their clinical utility in PsA patients. These proteins may also uncover unknown aspects of PsA pathobiology. More... »

PAGES

1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1559-0275-12-1

DOI

http://dx.doi.org/10.1186/1559-0275-12-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030524232

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25678896


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Mount Sinai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416166.2", 
          "name": [
            "Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada", 
            "Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cretu", 
        "givenName": "Daniela", 
        "id": "sg:person.01003777470.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003777470.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Waterloo", 
          "id": "https://www.grid.ac/institutes/grid.46078.3d", 
          "name": [
            "Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liang", 
        "givenName": "Kun", 
        "id": "sg:person.01302436317.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302436317.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mount Sinai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416166.2", 
          "name": [
            "Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada", 
            "Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saraon", 
        "givenName": "Punit", 
        "id": "sg:person.01057217760.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057217760.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mount Sinai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416166.2", 
          "name": [
            "Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Batruch", 
        "givenName": "Ihor", 
        "id": "sg:person.01077556620.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077556620.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Health Network", 
          "id": "https://www.grid.ac/institutes/grid.231844.8", 
          "name": [
            "Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada", 
            "Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada", 
            "Department of Clinical Biochemistry, University Health Network, Toronto, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Diamandis", 
        "givenName": "Eleftherios P", 
        "id": "sg:person.0600707106.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600707106.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Toronto", 
          "id": "https://www.grid.ac/institutes/grid.17063.33", 
          "name": [
            "Psoriatic Arthritis Program, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, 399 Bathurst Street, Room 1E 416, M5T 2S8, Toronto, Ontario, Canada", 
            "Division of Rheumatology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chandran", 
        "givenName": "Vinod", 
        "id": "sg:person.01234257431.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234257431.51"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1021/pr100456d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000333852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1559-0275-11-27", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000615375", 
          "https://doi.org/10.1186/1559-0275-11-27"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/rheumatology/kei208", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002145892"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.2004.032482", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002609767"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.2010.133561", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007355757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.immunol.25.022106.141557", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007584658"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.bor.0000231903.27419.2d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007907792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.bor.0000231903.27419.2d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007907792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pmic.200401335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014452519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pmic.200401335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014452519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12079-008-0023-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018098784", 
          "https://doi.org/10.1007/s12079-008-0023-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.20696", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019262625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci58978", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021483544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/10408363.2013.802408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022131508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tig.2010.06.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022537839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/cclm-2012-0251", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023957230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.21972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024713296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00018-009-0013-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030389193", 
          "https://doi.org/10.1007/s00018-009-0013-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00018-009-0013-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030389193", 
          "https://doi.org/10.1007/s00018-009-0013-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00018-009-0013-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030389193", 
          "https://doi.org/10.1007/s00018-009-0013-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11926-010-0113-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030627699", 
          "https://doi.org/10.1007/s11926-010-0113-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11926-010-0113-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030627699", 
          "https://doi.org/10.1007/s11926-010-0113-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2165/00128071-200304070-00001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030920256", 
          "https://doi.org/10.2165/00128071-200304070-00001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2165/00128071-200304070-00001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030920256", 
          "https://doi.org/10.2165/00128071-200304070-00001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/mcp.r800013-mcp200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033822158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12016-012-8303-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034447152", 
          "https://doi.org/10.1007/s12016-012-8303-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbapap.2013.04.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035871522"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pmic.200401109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039856505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4049/jimmunol.1103201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041153988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04754", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043278106", 
          "https://doi.org/10.1038/nature04754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04754", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043278106", 
          "https://doi.org/10.1038/nature04754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04754", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043278106", 
          "https://doi.org/10.1038/nature04754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-bioeng-061008-124934", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043936595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaut.2009.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045668233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2009-10-11-r130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046700832", 
          "https://doi.org/10.1186/gb-2009-10-11-r130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/mi.2008.15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049615803", 
          "https://doi.org/10.1038/mi.2008.15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2013-204858", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049967398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/pr300355a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056293039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/pr401111h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056293729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/scitranslmed.3006260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062687964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3899/jrheum.080596", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071541560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3899/jrheum.130462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071543228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077736563", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12", 
    "datePublishedReg": "2015-12-01", 
    "description": "BACKGROUND: Psoriatic arthritis (PsA) is a distinct inflammatory arthritis occurring in 30% of psoriasis patients. There is a high prevalence of undiagnosed PsA in psoriasis patients; therefore, identifying soluble biomarkers for PsA could help in screening psoriasis patients for appropriate referral to a rheumatologist. Potential PsA biomarkers likely originate in sites of inflammation, such as the skin, and subsequently enter systemic circulation. Our goal was to identify candidate PsA biomarkers by comparing the proteome of skin biopsies obtained from patients with PsA to that from patients with psoriasis without PsA.\nMETHODS: Skin biopsies were obtained from involved and uninvolved skin of 10 PsA and 10 age/gender-matched psoriasis patients without PsA (PsC). Using strong cation exchange chromatography, followed by label-free quantitative tandem mass spectrometry, we characterized the proteomes of pooled skin samples. Extracted ion current intensities were used to calculate protein abundance ratios, and these were utilized to identify differentially regulated proteins.\nRESULTS: Forty-seven proteins were elevated in PsA-derived skin compared to PsC-derived skin. Selected reaction monitoring assays were developed to quantify these potential PsA markers in individual skin samples, and 8 markers were confirmed in an independent sample set. ITGB5 and POSTN were measured in serum samples from 33 PsA and 15 PsC patients, using enzyme-linked immunosorbent assays. ITGB5 was significantly elevated in PsA serum (P\u2009<\u20090.01), and POSTN showed a trend. ITGB5 and POSTN correlated significantly in both patient groups (r\u2009=\u20090.472, P\u2009<\u20090.001).\nCONCLUSION: Proteomic analysis of PsA and PsC skin identified eight new candidate biomarkers. These markers need to be validated with a larger and independent cohort, in order to delineate their clinical utility in PsA patients. These proteins may also uncover unknown aspects of PsA pathobiology.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1559-0275-12-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1032566", 
        "issn": [
          "1542-6416", 
          "1559-0275"
        ], 
        "name": "Clinical Proteomics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers", 
    "pagination": "1", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9169e26e371072d990506456d087d2da824a3a026af64fb85c9e893d72e8244a"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25678896"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101184586"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1559-0275-12-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1030524232"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1559-0275-12-1", 
      "https://app.dimensions.ai/details/publication/pub.1030524232"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:38", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000550.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1559-0275-12-1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1559-0275-12-1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1559-0275-12-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1559-0275-12-1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1559-0275-12-1'


 

This table displays all metadata directly associated to this object as RDF triples.

230 TRIPLES      21 PREDICATES      64 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1559-0275-12-1 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Nc19ddb5b98934167af7a2069b4ef9439
4 schema:citation sg:pub.10.1007/s00018-009-0013-7
5 sg:pub.10.1007/s11926-010-0113-2
6 sg:pub.10.1007/s12016-012-8303-5
7 sg:pub.10.1007/s12079-008-0023-5
8 sg:pub.10.1038/mi.2008.15
9 sg:pub.10.1038/nature04754
10 sg:pub.10.1186/1559-0275-11-27
11 sg:pub.10.1186/gb-2009-10-11-r130
12 sg:pub.10.2165/00128071-200304070-00001
13 https://app.dimensions.ai/details/publication/pub.1077736563
14 https://doi.org/10.1002/art.20696
15 https://doi.org/10.1002/art.21972
16 https://doi.org/10.1002/pmic.200401109
17 https://doi.org/10.1002/pmic.200401335
18 https://doi.org/10.1016/j.bbapap.2013.04.001
19 https://doi.org/10.1016/j.jaut.2009.12.001
20 https://doi.org/10.1016/j.tig.2010.06.006
21 https://doi.org/10.1021/pr100456d
22 https://doi.org/10.1021/pr300355a
23 https://doi.org/10.1021/pr401111h
24 https://doi.org/10.1074/mcp.r800013-mcp200
25 https://doi.org/10.1093/rheumatology/kei208
26 https://doi.org/10.1097/01.bor.0000231903.27419.2d
27 https://doi.org/10.1126/scitranslmed.3006260
28 https://doi.org/10.1136/annrheumdis-2013-204858
29 https://doi.org/10.1136/ard.2004.032482
30 https://doi.org/10.1136/ard.2010.133561
31 https://doi.org/10.1146/annurev-bioeng-061008-124934
32 https://doi.org/10.1146/annurev.immunol.25.022106.141557
33 https://doi.org/10.1172/jci58978
34 https://doi.org/10.1515/cclm-2012-0251
35 https://doi.org/10.3109/10408363.2013.802408
36 https://doi.org/10.3899/jrheum.080596
37 https://doi.org/10.3899/jrheum.130462
38 https://doi.org/10.4049/jimmunol.1103201
39 schema:datePublished 2015-12
40 schema:datePublishedReg 2015-12-01
41 schema:description BACKGROUND: Psoriatic arthritis (PsA) is a distinct inflammatory arthritis occurring in 30% of psoriasis patients. There is a high prevalence of undiagnosed PsA in psoriasis patients; therefore, identifying soluble biomarkers for PsA could help in screening psoriasis patients for appropriate referral to a rheumatologist. Potential PsA biomarkers likely originate in sites of inflammation, such as the skin, and subsequently enter systemic circulation. Our goal was to identify candidate PsA biomarkers by comparing the proteome of skin biopsies obtained from patients with PsA to that from patients with psoriasis without PsA. METHODS: Skin biopsies were obtained from involved and uninvolved skin of 10 PsA and 10 age/gender-matched psoriasis patients without PsA (PsC). Using strong cation exchange chromatography, followed by label-free quantitative tandem mass spectrometry, we characterized the proteomes of pooled skin samples. Extracted ion current intensities were used to calculate protein abundance ratios, and these were utilized to identify differentially regulated proteins. RESULTS: Forty-seven proteins were elevated in PsA-derived skin compared to PsC-derived skin. Selected reaction monitoring assays were developed to quantify these potential PsA markers in individual skin samples, and 8 markers were confirmed in an independent sample set. ITGB5 and POSTN were measured in serum samples from 33 PsA and 15 PsC patients, using enzyme-linked immunosorbent assays. ITGB5 was significantly elevated in PsA serum (P < 0.01), and POSTN showed a trend. ITGB5 and POSTN correlated significantly in both patient groups (r = 0.472, P < 0.001). CONCLUSION: Proteomic analysis of PsA and PsC skin identified eight new candidate biomarkers. These markers need to be validated with a larger and independent cohort, in order to delineate their clinical utility in PsA patients. These proteins may also uncover unknown aspects of PsA pathobiology.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree true
45 schema:isPartOf N47b41895cd5f41099f356fbc6cc54981
46 Nfefd1d6fdb334b7dae9829b959f2d76c
47 sg:journal.1032566
48 schema:name Quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers
49 schema:pagination 1
50 schema:productId N13099a5c00a64b37a63930f825a502b1
51 Nbd5353fa7269453a91b45aca9a743557
52 Nd63ca573c5b740a48fb53de55c6d84a7
53 Ne0ee39397c7d4a4e8303f853a13ab0a2
54 Nfcea07cf49fb4ea091d3b7c2ff00f982
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030524232
56 https://doi.org/10.1186/1559-0275-12-1
57 schema:sdDatePublished 2019-04-10T17:38
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher N1537cf4ec26e4390bcf58b0d2c95c7f1
60 schema:url http://link.springer.com/10.1186%2F1559-0275-12-1
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N13099a5c00a64b37a63930f825a502b1 schema:name readcube_id
65 schema:value 9169e26e371072d990506456d087d2da824a3a026af64fb85c9e893d72e8244a
66 rdf:type schema:PropertyValue
67 N1537cf4ec26e4390bcf58b0d2c95c7f1 schema:name Springer Nature - SN SciGraph project
68 rdf:type schema:Organization
69 N16279923392b4f52a6dd09d190a78e87 rdf:first sg:person.01077556620.92
70 rdf:rest N16e1fba9beb94f41a3f5209fda6deb99
71 N16e1fba9beb94f41a3f5209fda6deb99 rdf:first sg:person.0600707106.04
72 rdf:rest N1ef4385f6e8c442296761148851b74ca
73 N1ef4385f6e8c442296761148851b74ca rdf:first sg:person.01234257431.51
74 rdf:rest rdf:nil
75 N47b41895cd5f41099f356fbc6cc54981 schema:volumeNumber 12
76 rdf:type schema:PublicationVolume
77 N6789d9a6a4504540ae6e66a4bc03d97d rdf:first sg:person.01302436317.95
78 rdf:rest Nae5ce4d8d2b1448ebc4753502300dccc
79 Nae5ce4d8d2b1448ebc4753502300dccc rdf:first sg:person.01057217760.49
80 rdf:rest N16279923392b4f52a6dd09d190a78e87
81 Nbd5353fa7269453a91b45aca9a743557 schema:name nlm_unique_id
82 schema:value 101184586
83 rdf:type schema:PropertyValue
84 Nc19ddb5b98934167af7a2069b4ef9439 rdf:first sg:person.01003777470.09
85 rdf:rest N6789d9a6a4504540ae6e66a4bc03d97d
86 Nd63ca573c5b740a48fb53de55c6d84a7 schema:name dimensions_id
87 schema:value pub.1030524232
88 rdf:type schema:PropertyValue
89 Ne0ee39397c7d4a4e8303f853a13ab0a2 schema:name doi
90 schema:value 10.1186/1559-0275-12-1
91 rdf:type schema:PropertyValue
92 Nfcea07cf49fb4ea091d3b7c2ff00f982 schema:name pubmed_id
93 schema:value 25678896
94 rdf:type schema:PropertyValue
95 Nfefd1d6fdb334b7dae9829b959f2d76c schema:issueNumber 1
96 rdf:type schema:PublicationIssue
97 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
98 schema:name Medical and Health Sciences
99 rdf:type schema:DefinedTerm
100 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
101 schema:name Clinical Sciences
102 rdf:type schema:DefinedTerm
103 sg:journal.1032566 schema:issn 1542-6416
104 1559-0275
105 schema:name Clinical Proteomics
106 rdf:type schema:Periodical
107 sg:person.01003777470.09 schema:affiliation https://www.grid.ac/institutes/grid.416166.2
108 schema:familyName Cretu
109 schema:givenName Daniela
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003777470.09
111 rdf:type schema:Person
112 sg:person.01057217760.49 schema:affiliation https://www.grid.ac/institutes/grid.416166.2
113 schema:familyName Saraon
114 schema:givenName Punit
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057217760.49
116 rdf:type schema:Person
117 sg:person.01077556620.92 schema:affiliation https://www.grid.ac/institutes/grid.416166.2
118 schema:familyName Batruch
119 schema:givenName Ihor
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077556620.92
121 rdf:type schema:Person
122 sg:person.01234257431.51 schema:affiliation https://www.grid.ac/institutes/grid.17063.33
123 schema:familyName Chandran
124 schema:givenName Vinod
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234257431.51
126 rdf:type schema:Person
127 sg:person.01302436317.95 schema:affiliation https://www.grid.ac/institutes/grid.46078.3d
128 schema:familyName Liang
129 schema:givenName Kun
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302436317.95
131 rdf:type schema:Person
132 sg:person.0600707106.04 schema:affiliation https://www.grid.ac/institutes/grid.231844.8
133 schema:familyName Diamandis
134 schema:givenName Eleftherios P
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600707106.04
136 rdf:type schema:Person
137 sg:pub.10.1007/s00018-009-0013-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030389193
138 https://doi.org/10.1007/s00018-009-0013-7
139 rdf:type schema:CreativeWork
140 sg:pub.10.1007/s11926-010-0113-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030627699
141 https://doi.org/10.1007/s11926-010-0113-2
142 rdf:type schema:CreativeWork
143 sg:pub.10.1007/s12016-012-8303-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034447152
144 https://doi.org/10.1007/s12016-012-8303-5
145 rdf:type schema:CreativeWork
146 sg:pub.10.1007/s12079-008-0023-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018098784
147 https://doi.org/10.1007/s12079-008-0023-5
148 rdf:type schema:CreativeWork
149 sg:pub.10.1038/mi.2008.15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049615803
150 https://doi.org/10.1038/mi.2008.15
151 rdf:type schema:CreativeWork
152 sg:pub.10.1038/nature04754 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043278106
153 https://doi.org/10.1038/nature04754
154 rdf:type schema:CreativeWork
155 sg:pub.10.1186/1559-0275-11-27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000615375
156 https://doi.org/10.1186/1559-0275-11-27
157 rdf:type schema:CreativeWork
158 sg:pub.10.1186/gb-2009-10-11-r130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046700832
159 https://doi.org/10.1186/gb-2009-10-11-r130
160 rdf:type schema:CreativeWork
161 sg:pub.10.2165/00128071-200304070-00001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030920256
162 https://doi.org/10.2165/00128071-200304070-00001
163 rdf:type schema:CreativeWork
164 https://app.dimensions.ai/details/publication/pub.1077736563 schema:CreativeWork
165 https://doi.org/10.1002/art.20696 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019262625
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1002/art.21972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024713296
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1002/pmic.200401109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039856505
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1002/pmic.200401335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014452519
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.bbapap.2013.04.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035871522
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.jaut.2009.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045668233
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.tig.2010.06.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022537839
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1021/pr100456d schema:sameAs https://app.dimensions.ai/details/publication/pub.1000333852
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1021/pr300355a schema:sameAs https://app.dimensions.ai/details/publication/pub.1056293039
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1021/pr401111h schema:sameAs https://app.dimensions.ai/details/publication/pub.1056293729
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1074/mcp.r800013-mcp200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033822158
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1093/rheumatology/kei208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002145892
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1097/01.bor.0000231903.27419.2d schema:sameAs https://app.dimensions.ai/details/publication/pub.1007907792
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1126/scitranslmed.3006260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062687964
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1136/annrheumdis-2013-204858 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049967398
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1136/ard.2004.032482 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002609767
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1136/ard.2010.133561 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007355757
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1146/annurev-bioeng-061008-124934 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043936595
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1146/annurev.immunol.25.022106.141557 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007584658
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1172/jci58978 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021483544
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1515/cclm-2012-0251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023957230
206 rdf:type schema:CreativeWork
207 https://doi.org/10.3109/10408363.2013.802408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022131508
208 rdf:type schema:CreativeWork
209 https://doi.org/10.3899/jrheum.080596 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071541560
210 rdf:type schema:CreativeWork
211 https://doi.org/10.3899/jrheum.130462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071543228
212 rdf:type schema:CreativeWork
213 https://doi.org/10.4049/jimmunol.1103201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041153988
214 rdf:type schema:CreativeWork
215 https://www.grid.ac/institutes/grid.17063.33 schema:alternateName University of Toronto
216 schema:name Division of Rheumatology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
217 Psoriatic Arthritis Program, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, 399 Bathurst Street, Room 1E 416, M5T 2S8, Toronto, Ontario, Canada
218 rdf:type schema:Organization
219 https://www.grid.ac/institutes/grid.231844.8 schema:alternateName University Health Network
220 schema:name Department of Clinical Biochemistry, University Health Network, Toronto, Ontario, Canada
221 Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
222 Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada
223 rdf:type schema:Organization
224 https://www.grid.ac/institutes/grid.416166.2 schema:alternateName Mount Sinai Hospital
225 schema:name Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
226 Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada
227 rdf:type schema:Organization
228 https://www.grid.ac/institutes/grid.46078.3d schema:alternateName University of Waterloo
229 schema:name Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada
230 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...