Prevalence and serological profile of anti-DFS70 positive subjects from a routine ANA cohort View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Teresa Carbone, Vito Pafundi, Giuseppina Tramontano, Michele Gilio, Maria Carmela Padula, Angela Anna Padula, Salvatore D’Angelo

ABSTRACT

Anti-Dense Fine Speckled 70 (DFS70) antibodies are a common finding in clinical laboratory referrals. High prevalence of DFS70 autoantibodies in healthy population and usual negative association with Antinuclear Antibody (ANA)-associated autoimmune rheumatic diseases (AARD) were reported. The aim of this study was to evaluate the prevalence of DFS70 autoantibodies and their association with other autoantibodies in the context of a routine ANA referral cohort. Consecutive sera submitted for ANA screening were analyzed for anti-DFS70 antibodies by indirect immunofluorescence (IIF) (n = 3175, 1030 men and 2145 women) then confirmed by immunoblotting. Anti-DFS70 positive samples were also assayed for a large spectrum of other circulating autoantibodies. The prevalence of anti-DFS70 antibodies was 1.7% in the whole population and 4.6% in the ANA-positive samples. Comparison between DFS70 IIF and immunoblotting showed an excellent correlation between the two methods. The prevalence of anti-DFS70 positive was significantly higher in females (2.1%, 45/2145) than in males (1.0%, 10/1030). Of note, no concomitant autoantibodies were found in the DFS70-positive male group compared with DFS70-positive females group that showed other serum autoantibodies in the 51% of cases. Anti-DFS70 reactivity in male population may represent an useful biomarker predicting the absence of other autoantibodies. On the contrary, the serological profile of DFS70-positive females required further investigations in order to define the presence of concomitant disease-marker autoantibodies. More... »

PAGES

2177

Journal

TITLE

Scientific Reports

ISSUE

1

VOLUME

9

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-38686-5

DOI

http://dx.doi.org/10.1038/s41598-019-38686-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112198372

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30778125


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/2008/1107", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Immunology", 
        "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": "Ospedale San Carlo", 
          "id": "https://www.grid.ac/institutes/grid.416325.7", 
          "name": [
            "IReL \u2013 Rheumatology Institute of Lucania - San Carlo Hospital, Potenza, Italy", 
            "Immunopathology Laboratory, San Carlo Hospital, Potenza, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carbone", 
        "givenName": "Teresa", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ospedale San Carlo", 
          "id": "https://www.grid.ac/institutes/grid.416325.7", 
          "name": [
            "Immunopathology Laboratory, San Carlo Hospital, Potenza, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pafundi", 
        "givenName": "Vito", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ospedale San Carlo", 
          "id": "https://www.grid.ac/institutes/grid.416325.7", 
          "name": [
            "IReL \u2013 Rheumatology Institute of Lucania - San Carlo Hospital, Potenza, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tramontano", 
        "givenName": "Giuseppina", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ospedale San Carlo", 
          "id": "https://www.grid.ac/institutes/grid.416325.7", 
          "name": [
            "IReL \u2013 Rheumatology Institute of Lucania - San Carlo Hospital, Potenza, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gilio", 
        "givenName": "Michele", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ospedale San Carlo", 
          "id": "https://www.grid.ac/institutes/grid.416325.7", 
          "name": [
            "IReL \u2013 Rheumatology Institute of Lucania - San Carlo Hospital, Potenza, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Padula", 
        "givenName": "Maria Carmela", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ospedale San Carlo", 
          "id": "https://www.grid.ac/institutes/grid.416325.7", 
          "name": [
            "IReL \u2013 Rheumatology Institute of Lucania - San Carlo Hospital, Potenza, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Padula", 
        "givenName": "Angela Anna", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ospedale San Carlo", 
          "id": "https://www.grid.ac/institutes/grid.416325.7", 
          "name": [
            "IReL \u2013 Rheumatology Institute of Lucania - San Carlo Hospital, Potenza, Italy", 
            "Basilicata Ricerca Biomedica (BRB) Foundation, Potenza, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "D\u2019Angelo", 
        "givenName": "Salvatore", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10238-015-0367-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001701164", 
          "https://doi.org/10.1007/s10238-015-0367-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10238-015-0367-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001701164", 
          "https://doi.org/10.1007/s10238-015-0367-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13317-016-0082-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003216154", 
          "https://doi.org/10.1007/s13317-016-0082-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13317-016-0082-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003216154", 
          "https://doi.org/10.1007/s13317-016-0082-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13317-016-0082-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003216154", 
          "https://doi.org/10.1007/s13317-016-0082-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/03009742.2015.1060260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005154997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0138671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005481445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.30621", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009620978"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.20095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009984410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fimmu.2015.00412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012820685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13317-016-0075-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013190244", 
          "https://doi.org/10.1007/s13317-016-0075-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13317-016-0075-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013190244", 
          "https://doi.org/10.1007/s13317-016-0075-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.20096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015065834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13317-016-0089-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016366310", 
          "https://doi.org/10.1007/s13317-016-0089-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13317-016-0089-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016366310", 
          "https://doi.org/10.1007/s13317-016-0089-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13317-016-0089-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016366310", 
          "https://doi.org/10.1007/s13317-016-0089-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.2009.127100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016698139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pros.20112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021806931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2012/494356", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026368334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1350-9462(02)00007-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027068439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3343/kjlm.2009.29.2.145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027600147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3343/kjlm.2009.29.2.145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027600147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.autrev.2011.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031848083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0961203307086311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032106319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0961203307086311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032106319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0961203307086311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032106319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jim.2016.06.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038273719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mai.2000.107039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040846061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3899/jrheum.150567", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045305472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1590/s0482-50042010000600006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046570151", 
          "https://doi.org/10.1590/s0482-50042010000600006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cca.2015.10.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047695364"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.30084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049116187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1196/annals.1381.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050025342"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13317-016-0081-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050093049", 
          "https://doi.org/10.1007/s13317-016-0081-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13317-016-0081-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050093049", 
          "https://doi.org/10.1007/s13317-016-0081-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13317-016-0081-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050093049", 
          "https://doi.org/10.1007/s13317-016-0081-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.autrev.2017.01.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051529173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.autrev.2017.01.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051529173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3899/jrheum.120598", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071542983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5152/eurjrheum.2015.0003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072633901"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7754/clin.lab.2015.150905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074028405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077135708", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-5347(17)35023-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082750203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/acr.23292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085577201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/acr.23292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085577201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/rheumatology/key012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100673498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fmed.2018.00088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103185919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7754/clin.lab.2017.170808", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103888429"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Anti-Dense Fine Speckled 70 (DFS70) antibodies are a common finding in clinical laboratory referrals. High prevalence of DFS70 autoantibodies in healthy population and usual negative association with Antinuclear Antibody (ANA)-associated autoimmune rheumatic diseases (AARD) were reported. The aim of this study was to evaluate the prevalence of DFS70 autoantibodies and their association with other autoantibodies in the context of a routine ANA referral cohort. Consecutive sera submitted for ANA screening were analyzed for anti-DFS70 antibodies by indirect immunofluorescence (IIF) (n\u2009=\u20093175, 1030 men and 2145 women) then confirmed by immunoblotting. Anti-DFS70 positive samples were also assayed for a large spectrum of other circulating autoantibodies. The prevalence of anti-DFS70 antibodies was 1.7% in the whole population and 4.6% in the ANA-positive samples. Comparison between DFS70 IIF and immunoblotting showed an excellent correlation between the two methods. The prevalence of anti-DFS70 positive was significantly higher in females (2.1%, 45/2145) than in males (1.0%, 10/1030). Of note, no concomitant autoantibodies were found in the DFS70-positive male group compared with DFS70-positive females group that showed other serum autoantibodies in the 51% of cases. Anti-DFS70 reactivity in male population may represent an useful biomarker predicting the absence of other autoantibodies. On the contrary, the serological profile of DFS70-positive females required further investigations in order to define the presence of concomitant disease-marker autoantibodies.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-019-38686-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Prevalence and serological profile of anti-DFS70 positive subjects from a routine ANA cohort", 
    "pagination": "2177", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "406b88e736ca4b65cfd9eb9e3cf2eecdacc2ed97837aace8a028f708905c9ba1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30778125"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-019-38686-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112198372"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-019-38686-5", 
      "https://app.dimensions.ai/details/publication/pub.1112198372"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:36", 
    "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/v90/0000000346_0000000346/records_99821_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-019-38686-5"
  }
]
 

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.10.1038/s41598-019-38686-5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-38686-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-38686-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-38686-5'


 

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

215 TRIPLES      21 PREDICATES      64 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-019-38686-5 schema:about anzsrc-for:11
2 anzsrc-for:1107
3 schema:author N6e3f3c1dbacd4cfebbf3737d32f4623f
4 schema:citation sg:pub.10.1007/s10238-015-0367-0
5 sg:pub.10.1007/s13317-016-0075-0
6 sg:pub.10.1007/s13317-016-0081-2
7 sg:pub.10.1007/s13317-016-0082-1
8 sg:pub.10.1007/s13317-016-0089-7
9 sg:pub.10.1590/s0482-50042010000600006
10 https://app.dimensions.ai/details/publication/pub.1077135708
11 https://doi.org/10.1002/acr.23292
12 https://doi.org/10.1002/art.20095
13 https://doi.org/10.1002/art.20096
14 https://doi.org/10.1002/art.30084
15 https://doi.org/10.1002/art.30621
16 https://doi.org/10.1002/pros.20112
17 https://doi.org/10.1016/j.autrev.2011.11.005
18 https://doi.org/10.1016/j.autrev.2017.01.001
19 https://doi.org/10.1016/j.cca.2015.10.008
20 https://doi.org/10.1016/j.jim.2016.06.008
21 https://doi.org/10.1016/s0022-5347(17)35023-1
22 https://doi.org/10.1016/s1350-9462(02)00007-1
23 https://doi.org/10.1067/mai.2000.107039
24 https://doi.org/10.1093/rheumatology/key012
25 https://doi.org/10.1136/ard.2009.127100
26 https://doi.org/10.1155/2012/494356
27 https://doi.org/10.1177/0961203307086311
28 https://doi.org/10.1196/annals.1381.019
29 https://doi.org/10.1371/journal.pone.0138671
30 https://doi.org/10.3109/03009742.2015.1060260
31 https://doi.org/10.3343/kjlm.2009.29.2.145
32 https://doi.org/10.3389/fimmu.2015.00412
33 https://doi.org/10.3389/fmed.2018.00088
34 https://doi.org/10.3899/jrheum.120598
35 https://doi.org/10.3899/jrheum.150567
36 https://doi.org/10.5152/eurjrheum.2015.0003
37 https://doi.org/10.7754/clin.lab.2015.150905
38 https://doi.org/10.7754/clin.lab.2017.170808
39 schema:datePublished 2019-12
40 schema:datePublishedReg 2019-12-01
41 schema:description Anti-Dense Fine Speckled 70 (DFS70) antibodies are a common finding in clinical laboratory referrals. High prevalence of DFS70 autoantibodies in healthy population and usual negative association with Antinuclear Antibody (ANA)-associated autoimmune rheumatic diseases (AARD) were reported. The aim of this study was to evaluate the prevalence of DFS70 autoantibodies and their association with other autoantibodies in the context of a routine ANA referral cohort. Consecutive sera submitted for ANA screening were analyzed for anti-DFS70 antibodies by indirect immunofluorescence (IIF) (n = 3175, 1030 men and 2145 women) then confirmed by immunoblotting. Anti-DFS70 positive samples were also assayed for a large spectrum of other circulating autoantibodies. The prevalence of anti-DFS70 antibodies was 1.7% in the whole population and 4.6% in the ANA-positive samples. Comparison between DFS70 IIF and immunoblotting showed an excellent correlation between the two methods. The prevalence of anti-DFS70 positive was significantly higher in females (2.1%, 45/2145) than in males (1.0%, 10/1030). Of note, no concomitant autoantibodies were found in the DFS70-positive male group compared with DFS70-positive females group that showed other serum autoantibodies in the 51% of cases. Anti-DFS70 reactivity in male population may represent an useful biomarker predicting the absence of other autoantibodies. On the contrary, the serological profile of DFS70-positive females required further investigations in order to define the presence of concomitant disease-marker autoantibodies.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree true
45 schema:isPartOf N88078e02f74c4896b19ef3ffd209c02b
46 Nc8839234928e45b992e5f2fd9a8967c3
47 sg:journal.1045337
48 schema:name Prevalence and serological profile of anti-DFS70 positive subjects from a routine ANA cohort
49 schema:pagination 2177
50 schema:productId N32115a4be7b74dcdb48fad9ab489e652
51 N5089cf39671d4857aae0530a069bff51
52 N58b7dfacc3194d47944379e81920b0d3
53 N92ffb5ac39f6433fa860deb196242090
54 Nf2848fe6c13b4657b6e573827c8c57f1
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112198372
56 https://doi.org/10.1038/s41598-019-38686-5
57 schema:sdDatePublished 2019-04-11T09:36
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher N2c043d80389c426b930a55b8426ee076
60 schema:url https://www.nature.com/articles/s41598-019-38686-5
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N07bbc6409b6d4502bc44ccb098c83ee9 rdf:first Nff463e9a99b74296ab0c385fcfb4fe22
65 rdf:rest N9a25cdf855ab48f7bbad5acec7d0ac12
66 N087dbc44e29649328b71ac3a11065c17 rdf:first Nffb9e68ff26f415091510cbad9d42d09
67 rdf:rest N07bbc6409b6d4502bc44ccb098c83ee9
68 N17e48f634f22493aa24f5f74442690f2 schema:affiliation https://www.grid.ac/institutes/grid.416325.7
69 schema:familyName Gilio
70 schema:givenName Michele
71 rdf:type schema:Person
72 N2c043d80389c426b930a55b8426ee076 schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 N32115a4be7b74dcdb48fad9ab489e652 schema:name doi
75 schema:value 10.1038/s41598-019-38686-5
76 rdf:type schema:PropertyValue
77 N397c5a7701af4e3a901da9cc9189cf39 rdf:first N17e48f634f22493aa24f5f74442690f2
78 rdf:rest N087dbc44e29649328b71ac3a11065c17
79 N49788f8a554f447d9789cf504456e7e7 schema:affiliation https://www.grid.ac/institutes/grid.416325.7
80 schema:familyName Tramontano
81 schema:givenName Giuseppina
82 rdf:type schema:Person
83 N5089cf39671d4857aae0530a069bff51 schema:name pubmed_id
84 schema:value 30778125
85 rdf:type schema:PropertyValue
86 N58b7dfacc3194d47944379e81920b0d3 schema:name nlm_unique_id
87 schema:value 101563288
88 rdf:type schema:PropertyValue
89 N67a8792345834533b593a559c205ef3c rdf:first Nf67eea3fa9634792a6d593f383c5d308
90 rdf:rest Nae2daf9597da4ea0ac007c314be79e70
91 N6e3f3c1dbacd4cfebbf3737d32f4623f rdf:first N8470e0c93a7b4f74897e49fde9592ff4
92 rdf:rest N67a8792345834533b593a559c205ef3c
93 N8470e0c93a7b4f74897e49fde9592ff4 schema:affiliation https://www.grid.ac/institutes/grid.416325.7
94 schema:familyName Carbone
95 schema:givenName Teresa
96 rdf:type schema:Person
97 N88078e02f74c4896b19ef3ffd209c02b schema:issueNumber 1
98 rdf:type schema:PublicationIssue
99 N92ffb5ac39f6433fa860deb196242090 schema:name dimensions_id
100 schema:value pub.1112198372
101 rdf:type schema:PropertyValue
102 N9a25cdf855ab48f7bbad5acec7d0ac12 rdf:first N9ba028bb5523479bbaaedddc04cc797c
103 rdf:rest rdf:nil
104 N9ba028bb5523479bbaaedddc04cc797c schema:affiliation https://www.grid.ac/institutes/grid.416325.7
105 schema:familyName D’Angelo
106 schema:givenName Salvatore
107 rdf:type schema:Person
108 Nae2daf9597da4ea0ac007c314be79e70 rdf:first N49788f8a554f447d9789cf504456e7e7
109 rdf:rest N397c5a7701af4e3a901da9cc9189cf39
110 Nc8839234928e45b992e5f2fd9a8967c3 schema:volumeNumber 9
111 rdf:type schema:PublicationVolume
112 Nf2848fe6c13b4657b6e573827c8c57f1 schema:name readcube_id
113 schema:value 406b88e736ca4b65cfd9eb9e3cf2eecdacc2ed97837aace8a028f708905c9ba1
114 rdf:type schema:PropertyValue
115 Nf67eea3fa9634792a6d593f383c5d308 schema:affiliation https://www.grid.ac/institutes/grid.416325.7
116 schema:familyName Pafundi
117 schema:givenName Vito
118 rdf:type schema:Person
119 Nff463e9a99b74296ab0c385fcfb4fe22 schema:affiliation https://www.grid.ac/institutes/grid.416325.7
120 schema:familyName Padula
121 schema:givenName Angela Anna
122 rdf:type schema:Person
123 Nffb9e68ff26f415091510cbad9d42d09 schema:affiliation https://www.grid.ac/institutes/grid.416325.7
124 schema:familyName Padula
125 schema:givenName Maria Carmela
126 rdf:type schema:Person
127 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
128 schema:name Medical and Health Sciences
129 rdf:type schema:DefinedTerm
130 anzsrc-for:1107 schema:inDefinedTermSet anzsrc-for:
131 schema:name Immunology
132 rdf:type schema:DefinedTerm
133 sg:journal.1045337 schema:issn 2045-2322
134 schema:name Scientific Reports
135 rdf:type schema:Periodical
136 sg:pub.10.1007/s10238-015-0367-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001701164
137 https://doi.org/10.1007/s10238-015-0367-0
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/s13317-016-0075-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013190244
140 https://doi.org/10.1007/s13317-016-0075-0
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s13317-016-0081-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050093049
143 https://doi.org/10.1007/s13317-016-0081-2
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/s13317-016-0082-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003216154
146 https://doi.org/10.1007/s13317-016-0082-1
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/s13317-016-0089-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016366310
149 https://doi.org/10.1007/s13317-016-0089-7
150 rdf:type schema:CreativeWork
151 sg:pub.10.1590/s0482-50042010000600006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046570151
152 https://doi.org/10.1590/s0482-50042010000600006
153 rdf:type schema:CreativeWork
154 https://app.dimensions.ai/details/publication/pub.1077135708 schema:CreativeWork
155 https://doi.org/10.1002/acr.23292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085577201
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1002/art.20095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009984410
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1002/art.20096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015065834
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1002/art.30084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049116187
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1002/art.30621 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009620978
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1002/pros.20112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021806931
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.autrev.2011.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031848083
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.autrev.2017.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051529173
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.cca.2015.10.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047695364
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.jim.2016.06.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038273719
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/s0022-5347(17)35023-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082750203
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/s1350-9462(02)00007-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027068439
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1067/mai.2000.107039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040846061
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1093/rheumatology/key012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100673498
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1136/ard.2009.127100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016698139
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1155/2012/494356 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026368334
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1177/0961203307086311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032106319
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1196/annals.1381.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050025342
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1371/journal.pone.0138671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005481445
192 rdf:type schema:CreativeWork
193 https://doi.org/10.3109/03009742.2015.1060260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005154997
194 rdf:type schema:CreativeWork
195 https://doi.org/10.3343/kjlm.2009.29.2.145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027600147
196 rdf:type schema:CreativeWork
197 https://doi.org/10.3389/fimmu.2015.00412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012820685
198 rdf:type schema:CreativeWork
199 https://doi.org/10.3389/fmed.2018.00088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103185919
200 rdf:type schema:CreativeWork
201 https://doi.org/10.3899/jrheum.120598 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071542983
202 rdf:type schema:CreativeWork
203 https://doi.org/10.3899/jrheum.150567 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045305472
204 rdf:type schema:CreativeWork
205 https://doi.org/10.5152/eurjrheum.2015.0003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072633901
206 rdf:type schema:CreativeWork
207 https://doi.org/10.7754/clin.lab.2015.150905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074028405
208 rdf:type schema:CreativeWork
209 https://doi.org/10.7754/clin.lab.2017.170808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103888429
210 rdf:type schema:CreativeWork
211 https://www.grid.ac/institutes/grid.416325.7 schema:alternateName Ospedale San Carlo
212 schema:name Basilicata Ricerca Biomedica (BRB) Foundation, Potenza, Italy
213 IReL – Rheumatology Institute of Lucania - San Carlo Hospital, Potenza, Italy
214 Immunopathology Laboratory, San Carlo Hospital, Potenza, Italy
215 rdf:type schema:Organization
 




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


...