Cytometric detection of antigen-specific IFN-γ/IL-2 secreting cells in the diagnosis of tuberculosis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-06-23

AUTHORS

Valeria Sargentini, Sabrina Mariotti, Stefania Carrara, Maria Cristina Gagliardi, Raffaela Teloni, Delia Goletti, Roberto Nisini

ABSTRACT

BACKGROUND: The purpose of this study was to further characterize the immune response to Mycobacterium tuberculosis (Mtb) antigens, in order to provide new insight into host-pathogen interactions in tuberculosis (TB), and to offer tools for a more accurate diagnosis of the different stages of TB. METHODS: T-cell responses to Bacillus Calmette-Guérin (BCG), purified protein derivative (PPD), early secretory antigenic target-6 (ESAT-6) protein and culture filtrate protein-10 kDa (CFP-10) were measured in terms of interferon (IFN)-gamma and interleukin (IL)-2 release, using a novel flow cytometric cell-secreting cytokine detection technique. The study was conducted on peripheral blood mononuclear cells (PBMC) obtained from active TB patients, latently TB infected individuals, and healthy donors. IL-10 and IL-17 were also measured to test their possible role as indicators of disease activity. RESULTS: We confirmed that the enumeration of IFN-gamma releasing cells upon Mtb-specific stimulation is sufficient to identify TB patients and that CD8+ T cells concur to IFN-gamma secretion. IL-2 secreting cells were more frequently observed in latent TB infected individuals compared to active TB patients, suggesting that measurement of cells secreting this cytokine could be a marker of disease stage. No discriminating role was associated to IL-10 and IL-17 release in TB patients. CONCLUSION: Our data indicate that the flow cytometric cytokine-secreting cell detection technique may be envisaged as an additional tool for TB diagnosis allowing the analysis of the immune response to M. tuberculosis-related antigens in the different stages of TB. More... »

PAGES

99-99

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2334-9-99

DOI

http://dx.doi.org/10.1186/1471-2334-9-99

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049732886

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19549330


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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antigens, Bacterial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "CD8-Positive T-Lymphocytes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cells, Cultured", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Flow Cytometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Host-Pathogen Interactions", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Interferon-gamma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Interleukin-10", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Interleukin-17", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Interleukin-2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Leukocytes, Mononuclear", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mycobacterium tuberculosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tuberculosis", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Dipartimento di Malattie Infettive, Parassitarie e Immunomediate, Istituto Superiore di Sanit\u00e0, 00161 Roma, Italy", 
          "id": "http://www.grid.ac/institutes/grid.416651.1", 
          "name": [
            "Dipartimento di Malattie Infettive, Parassitarie e Immunomediate, Istituto Superiore di Sanit\u00e0, 00161 Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sargentini", 
        "givenName": "Valeria", 
        "id": "sg:person.01006504136.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006504136.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dipartimento di Malattie Infettive, Parassitarie e Immunomediate, Istituto Superiore di Sanit\u00e0, 00161 Roma, Italy", 
          "id": "http://www.grid.ac/institutes/grid.416651.1", 
          "name": [
            "Dipartimento di Malattie Infettive, Parassitarie e Immunomediate, Istituto Superiore di Sanit\u00e0, 00161 Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mariotti", 
        "givenName": "Sabrina", 
        "id": "sg:person.01032647315.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032647315.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Translational Research Unit, Department of Experimental Research, Istituto Nazionale Malattie Infettive Lazzaro Spallanzani- IRCCS Rome, 00149 Roma, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Translational Research Unit, Department of Experimental Research, Istituto Nazionale Malattie Infettive Lazzaro Spallanzani- IRCCS Rome, 00149 Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carrara", 
        "givenName": "Stefania", 
        "id": "sg:person.01242720172.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242720172.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dipartimento di Malattie Infettive, Parassitarie e Immunomediate, Istituto Superiore di Sanit\u00e0, 00161 Roma, Italy", 
          "id": "http://www.grid.ac/institutes/grid.416651.1", 
          "name": [
            "Dipartimento di Malattie Infettive, Parassitarie e Immunomediate, Istituto Superiore di Sanit\u00e0, 00161 Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gagliardi", 
        "givenName": "Maria Cristina", 
        "id": "sg:person.0611011577.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611011577.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dipartimento di Malattie Infettive, Parassitarie e Immunomediate, Istituto Superiore di Sanit\u00e0, 00161 Roma, Italy", 
          "id": "http://www.grid.ac/institutes/grid.416651.1", 
          "name": [
            "Dipartimento di Malattie Infettive, Parassitarie e Immunomediate, Istituto Superiore di Sanit\u00e0, 00161 Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Teloni", 
        "givenName": "Raffaela", 
        "id": "sg:person.01141743147.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141743147.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Translational Research Unit, Department of Experimental Research, Istituto Nazionale Malattie Infettive Lazzaro Spallanzani- IRCCS Rome, 00149 Roma, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Translational Research Unit, Department of Experimental Research, Istituto Nazionale Malattie Infettive Lazzaro Spallanzani- IRCCS Rome, 00149 Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goletti", 
        "givenName": "Delia", 
        "id": "sg:person.01200446072.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200446072.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dipartimento di Malattie Infettive, Parassitarie e Immunomediate, Istituto Superiore di Sanit\u00e0, 00161 Roma, Italy", 
          "id": "http://www.grid.ac/institutes/grid.416651.1", 
          "name": [
            "Dipartimento di Malattie Infettive, Parassitarie e Immunomediate, Istituto Superiore di Sanit\u00e0, 00161 Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nisini", 
        "givenName": "Roberto", 
        "id": "sg:person.01324644006.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324644006.36"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nrmicro1050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013951605", 
          "https://doi.org/10.1038/nrmicro1050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ni1449", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019330185", 
          "https://doi.org/10.1038/ni1449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/44385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016546162", 
          "https://doi.org/10.1038/44385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ni1467", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038187346", 
          "https://doi.org/10.1038/ni1467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ni1088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000244275", 
          "https://doi.org/10.1038/ni1088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/82139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030200038", 
          "https://doi.org/10.1038/82139"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-06-23", 
    "datePublishedReg": "2009-06-23", 
    "description": "BACKGROUND: The purpose of this study was to further characterize the immune response to Mycobacterium tuberculosis (Mtb) antigens, in order to provide new insight into host-pathogen interactions in tuberculosis (TB), and to offer tools for a more accurate diagnosis of the different stages of TB.\nMETHODS: T-cell responses to Bacillus Calmette-Gu\u00e9rin (BCG), purified protein derivative (PPD), early secretory antigenic target-6 (ESAT-6) protein and culture filtrate protein-10 kDa (CFP-10) were measured in terms of interferon (IFN)-gamma and interleukin (IL)-2 release, using a novel flow cytometric cell-secreting cytokine detection technique. The study was conducted on peripheral blood mononuclear cells (PBMC) obtained from active TB patients, latently TB infected individuals, and healthy donors. IL-10 and IL-17 were also measured to test their possible role as indicators of disease activity.\nRESULTS: We confirmed that the enumeration of IFN-gamma releasing cells upon Mtb-specific stimulation is sufficient to identify TB patients and that CD8+ T cells concur to IFN-gamma secretion. IL-2 secreting cells were more frequently observed in latent TB infected individuals compared to active TB patients, suggesting that measurement of cells secreting this cytokine could be a marker of disease stage. No discriminating role was associated to IL-10 and IL-17 release in TB patients.\nCONCLUSION: Our data indicate that the flow cytometric cytokine-secreting cell detection technique may be envisaged as an additional tool for TB diagnosis allowing the analysis of the immune response to M. tuberculosis-related antigens in the different stages of TB.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/1471-2334-9-99", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024946", 
        "issn": [
          "1471-2334"
        ], 
        "name": "BMC Infectious Diseases", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "keywords": [
      "peripheral blood mononuclear cells", 
      "IL-2 secreting cells", 
      "TB infected individuals", 
      "active TB patients", 
      "TB patients", 
      "bacillus Calmette-Gu\u00e9rin", 
      "IL-10", 
      "immune response", 
      "secreting cells", 
      "infected individuals", 
      "latent TB infected individuals", 
      "culture filtrate protein 10", 
      "terms of interferon", 
      "antigen-specific IFN", 
      "IL-17 release", 
      "IFN-gamma secretion", 
      "blood mononuclear cells", 
      "diagnosis of tuberculosis", 
      "disease activity", 
      "IL-17", 
      "TB diagnosis", 
      "mononuclear cells", 
      "disease stage", 
      "Calmette-Gu\u00e9rin", 
      "healthy donors", 
      "IFN-gamma", 
      "cell responses", 
      "protein 10", 
      "protein derivative", 
      "patients", 
      "accurate diagnosis", 
      "tuberculosis", 
      "Mycobacterium tuberculosis", 
      "cytometric detection", 
      "diagnosis", 
      "possible role", 
      "host-pathogen interactions", 
      "different stages", 
      "cells", 
      "additional tool", 
      "response", 
      "CD8", 
      "interleukin", 
      "cytokines", 
      "IFN", 
      "interferon", 
      "discriminating role", 
      "antigen", 
      "release", 
      "individuals", 
      "secretion", 
      "stimulation", 
      "study", 
      "markers", 
      "role", 
      "measurement of cells", 
      "stage", 
      "cell detection techniques", 
      "donors", 
      "new insights", 
      "gamma", 
      "activity", 
      "protein", 
      "indicators", 
      "purpose", 
      "tool", 
      "concur", 
      "data", 
      "detection", 
      "technique", 
      "analysis", 
      "insights", 
      "enumeration", 
      "derivatives", 
      "measurements", 
      "interaction", 
      "terms", 
      "order", 
      "detection techniques", 
      "early secretory antigenic target-6 (ESAT-6) protein", 
      "secretory antigenic target-6 (ESAT-6) protein", 
      "antigenic target-6 (ESAT-6) protein", 
      "target-6 (ESAT-6) protein", 
      "filtrate protein-10", 
      "novel flow cytometric cell-secreting cytokine detection technique", 
      "flow cytometric cell-secreting cytokine detection technique", 
      "cytometric cell-secreting cytokine detection technique", 
      "cell-secreting cytokine detection technique", 
      "cytokine detection technique", 
      "Mtb-specific stimulation", 
      "cells concur", 
      "flow cytometric cytokine-secreting cell detection technique", 
      "cytometric cytokine-secreting cell detection technique", 
      "cytokine-secreting cell detection technique", 
      "tuberculosis-related antigens"
    ], 
    "name": "Cytometric detection of antigen-specific IFN-\u03b3/IL-2 secreting cells in the diagnosis of tuberculosis", 
    "pagination": "99-99", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1049732886"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2334-9-99"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "19549330"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2334-9-99", 
      "https://app.dimensions.ai/details/publication/pub.1049732886"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:21", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_496.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/1471-2334-9-99"
  }
]
 

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.10.1186/1471-2334-9-99'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2334-9-99'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2334-9-99'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2334-9-99'


 

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

293 TRIPLES      22 PREDICATES      144 URIs      130 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2334-9-99 schema:about N15bb178b7f7347d394d75b432be5dff7
2 N20bd7fb39dd64b41b867e56a7379d078
3 N287cd3da6ac74a24a76b4a8bf482e575
4 N31addf44422f43318920603da349d06a
5 N43052179c0f84d23a85aa97e48c67ded
6 N4dfbfc768fbe45abb19ea15dd090745f
7 N4fc4f197512b482a85b5c3599818c2e8
8 N5c49234ba8144d629abdcfac61dd9ead
9 N7e9a0ed3292d447e95ce3be38359544d
10 N7f3676d58cdc46b4a61e86cdbc632059
11 Na8bc5f8ded564d3b80e2701a5fad8080
12 Nba0ce8e9c97a4d459b2ec4e54d26b053
13 Nc1b63853f03e45c1bf8c5f4f5ad7b0a7
14 Ncc096d387ab448b58f4e24c2fa866895
15 Ndb50aef568984bc39d6fc4d6d0b36f80
16 Ndd84bd1d6c9f4a3f86739d5ff39a56eb
17 Nf89e5578bcb14730817ef45a45b45495
18 anzsrc-for:11
19 anzsrc-for:1107
20 schema:author N4dbece84feb2471b8d4cf8cd48d59036
21 schema:citation sg:pub.10.1038/44385
22 sg:pub.10.1038/82139
23 sg:pub.10.1038/ni1088
24 sg:pub.10.1038/ni1449
25 sg:pub.10.1038/ni1467
26 sg:pub.10.1038/nrmicro1050
27 schema:datePublished 2009-06-23
28 schema:datePublishedReg 2009-06-23
29 schema:description BACKGROUND: The purpose of this study was to further characterize the immune response to Mycobacterium tuberculosis (Mtb) antigens, in order to provide new insight into host-pathogen interactions in tuberculosis (TB), and to offer tools for a more accurate diagnosis of the different stages of TB. METHODS: T-cell responses to Bacillus Calmette-Guérin (BCG), purified protein derivative (PPD), early secretory antigenic target-6 (ESAT-6) protein and culture filtrate protein-10 kDa (CFP-10) were measured in terms of interferon (IFN)-gamma and interleukin (IL)-2 release, using a novel flow cytometric cell-secreting cytokine detection technique. The study was conducted on peripheral blood mononuclear cells (PBMC) obtained from active TB patients, latently TB infected individuals, and healthy donors. IL-10 and IL-17 were also measured to test their possible role as indicators of disease activity. RESULTS: We confirmed that the enumeration of IFN-gamma releasing cells upon Mtb-specific stimulation is sufficient to identify TB patients and that CD8+ T cells concur to IFN-gamma secretion. IL-2 secreting cells were more frequently observed in latent TB infected individuals compared to active TB patients, suggesting that measurement of cells secreting this cytokine could be a marker of disease stage. No discriminating role was associated to IL-10 and IL-17 release in TB patients. CONCLUSION: Our data indicate that the flow cytometric cytokine-secreting cell detection technique may be envisaged as an additional tool for TB diagnosis allowing the analysis of the immune response to M. tuberculosis-related antigens in the different stages of TB.
30 schema:genre article
31 schema:inLanguage en
32 schema:isAccessibleForFree true
33 schema:isPartOf N9355bd5bba1542e187c8a0a148957759
34 Nd0f714abaaaf4b5fb46e76310ba6d958
35 sg:journal.1024946
36 schema:keywords CD8
37 Calmette-Guérin
38 IFN
39 IFN-gamma
40 IFN-gamma secretion
41 IL-10
42 IL-17
43 IL-17 release
44 IL-2 secreting cells
45 Mtb-specific stimulation
46 Mycobacterium tuberculosis
47 TB diagnosis
48 TB infected individuals
49 TB patients
50 accurate diagnosis
51 active TB patients
52 activity
53 additional tool
54 analysis
55 antigen
56 antigen-specific IFN
57 antigenic target-6 (ESAT-6) protein
58 bacillus Calmette-Guérin
59 blood mononuclear cells
60 cell detection techniques
61 cell responses
62 cell-secreting cytokine detection technique
63 cells
64 cells concur
65 concur
66 culture filtrate protein 10
67 cytokine detection technique
68 cytokine-secreting cell detection technique
69 cytokines
70 cytometric cell-secreting cytokine detection technique
71 cytometric cytokine-secreting cell detection technique
72 cytometric detection
73 data
74 derivatives
75 detection
76 detection techniques
77 diagnosis
78 diagnosis of tuberculosis
79 different stages
80 discriminating role
81 disease activity
82 disease stage
83 donors
84 early secretory antigenic target-6 (ESAT-6) protein
85 enumeration
86 filtrate protein-10
87 flow cytometric cell-secreting cytokine detection technique
88 flow cytometric cytokine-secreting cell detection technique
89 gamma
90 healthy donors
91 host-pathogen interactions
92 immune response
93 indicators
94 individuals
95 infected individuals
96 insights
97 interaction
98 interferon
99 interleukin
100 latent TB infected individuals
101 markers
102 measurement of cells
103 measurements
104 mononuclear cells
105 new insights
106 novel flow cytometric cell-secreting cytokine detection technique
107 order
108 patients
109 peripheral blood mononuclear cells
110 possible role
111 protein
112 protein 10
113 protein derivative
114 purpose
115 release
116 response
117 role
118 secreting cells
119 secretion
120 secretory antigenic target-6 (ESAT-6) protein
121 stage
122 stimulation
123 study
124 target-6 (ESAT-6) protein
125 technique
126 terms
127 terms of interferon
128 tool
129 tuberculosis
130 tuberculosis-related antigens
131 schema:name Cytometric detection of antigen-specific IFN-γ/IL-2 secreting cells in the diagnosis of tuberculosis
132 schema:pagination 99-99
133 schema:productId N66e97f4b97fe4693ad74ee60db0dbf68
134 N85d49e4bcfdb4f4aab8933d1b3fa3f04
135 Nca68a0a207d54c9b9f4c75250ea86cb1
136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049732886
137 https://doi.org/10.1186/1471-2334-9-99
138 schema:sdDatePublished 2022-01-01T18:21
139 schema:sdLicense https://scigraph.springernature.com/explorer/license/
140 schema:sdPublisher N037486539fae4971a98ef1834117ded0
141 schema:url https://doi.org/10.1186/1471-2334-9-99
142 sgo:license sg:explorer/license/
143 sgo:sdDataset articles
144 rdf:type schema:ScholarlyArticle
145 N037486539fae4971a98ef1834117ded0 schema:name Springer Nature - SN SciGraph project
146 rdf:type schema:Organization
147 N15bb178b7f7347d394d75b432be5dff7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Interferon-gamma
149 rdf:type schema:DefinedTerm
150 N20bd7fb39dd64b41b867e56a7379d078 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Host-Pathogen Interactions
152 rdf:type schema:DefinedTerm
153 N287cd3da6ac74a24a76b4a8bf482e575 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Middle Aged
155 rdf:type schema:DefinedTerm
156 N31addf44422f43318920603da349d06a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Humans
158 rdf:type schema:DefinedTerm
159 N43052179c0f84d23a85aa97e48c67ded schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Cells, Cultured
161 rdf:type schema:DefinedTerm
162 N4dbece84feb2471b8d4cf8cd48d59036 rdf:first sg:person.01006504136.42
163 rdf:rest N72b490b765a245989a268cdbe98cda31
164 N4dfbfc768fbe45abb19ea15dd090745f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Tuberculosis
166 rdf:type schema:DefinedTerm
167 N4fc4f197512b482a85b5c3599818c2e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Male
169 rdf:type schema:DefinedTerm
170 N5c49234ba8144d629abdcfac61dd9ead schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Female
172 rdf:type schema:DefinedTerm
173 N66e97f4b97fe4693ad74ee60db0dbf68 schema:name doi
174 schema:value 10.1186/1471-2334-9-99
175 rdf:type schema:PropertyValue
176 N6ab38c06c15a4fd69e640549888ed2fd rdf:first sg:person.01141743147.12
177 rdf:rest N92e0b0da190341b98dc9247eb270a4c8
178 N716e67f6d53b4888987783b4499c5767 rdf:first sg:person.01324644006.36
179 rdf:rest rdf:nil
180 N72b490b765a245989a268cdbe98cda31 rdf:first sg:person.01032647315.97
181 rdf:rest Naaa10491f5e341cc99120f6e7d6d357d
182 N7e9a0ed3292d447e95ce3be38359544d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name Interleukin-2
184 rdf:type schema:DefinedTerm
185 N7f3676d58cdc46b4a61e86cdbc632059 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Adult
187 rdf:type schema:DefinedTerm
188 N85d49e4bcfdb4f4aab8933d1b3fa3f04 schema:name pubmed_id
189 schema:value 19549330
190 rdf:type schema:PropertyValue
191 N904833232b934be0853db4ba1c5ff62e rdf:first sg:person.0611011577.65
192 rdf:rest N6ab38c06c15a4fd69e640549888ed2fd
193 N92e0b0da190341b98dc9247eb270a4c8 rdf:first sg:person.01200446072.99
194 rdf:rest N716e67f6d53b4888987783b4499c5767
195 N9355bd5bba1542e187c8a0a148957759 schema:volumeNumber 9
196 rdf:type schema:PublicationVolume
197 Na8bc5f8ded564d3b80e2701a5fad8080 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
198 schema:name Interleukin-10
199 rdf:type schema:DefinedTerm
200 Naaa10491f5e341cc99120f6e7d6d357d rdf:first sg:person.01242720172.01
201 rdf:rest N904833232b934be0853db4ba1c5ff62e
202 Nba0ce8e9c97a4d459b2ec4e54d26b053 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
203 schema:name CD8-Positive T-Lymphocytes
204 rdf:type schema:DefinedTerm
205 Nc1b63853f03e45c1bf8c5f4f5ad7b0a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
206 schema:name Interleukin-17
207 rdf:type schema:DefinedTerm
208 Nca68a0a207d54c9b9f4c75250ea86cb1 schema:name dimensions_id
209 schema:value pub.1049732886
210 rdf:type schema:PropertyValue
211 Ncc096d387ab448b58f4e24c2fa866895 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
212 schema:name Mycobacterium tuberculosis
213 rdf:type schema:DefinedTerm
214 Nd0f714abaaaf4b5fb46e76310ba6d958 schema:issueNumber 1
215 rdf:type schema:PublicationIssue
216 Ndb50aef568984bc39d6fc4d6d0b36f80 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
217 schema:name Flow Cytometry
218 rdf:type schema:DefinedTerm
219 Ndd84bd1d6c9f4a3f86739d5ff39a56eb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
220 schema:name Antigens, Bacterial
221 rdf:type schema:DefinedTerm
222 Nf89e5578bcb14730817ef45a45b45495 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
223 schema:name Leukocytes, Mononuclear
224 rdf:type schema:DefinedTerm
225 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
226 schema:name Medical and Health Sciences
227 rdf:type schema:DefinedTerm
228 anzsrc-for:1107 schema:inDefinedTermSet anzsrc-for:
229 schema:name Immunology
230 rdf:type schema:DefinedTerm
231 sg:journal.1024946 schema:issn 1471-2334
232 schema:name BMC Infectious Diseases
233 schema:publisher Springer Nature
234 rdf:type schema:Periodical
235 sg:person.01006504136.42 schema:affiliation grid-institutes:grid.416651.1
236 schema:familyName Sargentini
237 schema:givenName Valeria
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006504136.42
239 rdf:type schema:Person
240 sg:person.01032647315.97 schema:affiliation grid-institutes:grid.416651.1
241 schema:familyName Mariotti
242 schema:givenName Sabrina
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032647315.97
244 rdf:type schema:Person
245 sg:person.01141743147.12 schema:affiliation grid-institutes:grid.416651.1
246 schema:familyName Teloni
247 schema:givenName Raffaela
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141743147.12
249 rdf:type schema:Person
250 sg:person.01200446072.99 schema:affiliation grid-institutes:None
251 schema:familyName Goletti
252 schema:givenName Delia
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200446072.99
254 rdf:type schema:Person
255 sg:person.01242720172.01 schema:affiliation grid-institutes:None
256 schema:familyName Carrara
257 schema:givenName Stefania
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242720172.01
259 rdf:type schema:Person
260 sg:person.01324644006.36 schema:affiliation grid-institutes:grid.416651.1
261 schema:familyName Nisini
262 schema:givenName Roberto
263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324644006.36
264 rdf:type schema:Person
265 sg:person.0611011577.65 schema:affiliation grid-institutes:grid.416651.1
266 schema:familyName Gagliardi
267 schema:givenName Maria Cristina
268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611011577.65
269 rdf:type schema:Person
270 sg:pub.10.1038/44385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016546162
271 https://doi.org/10.1038/44385
272 rdf:type schema:CreativeWork
273 sg:pub.10.1038/82139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030200038
274 https://doi.org/10.1038/82139
275 rdf:type schema:CreativeWork
276 sg:pub.10.1038/ni1088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000244275
277 https://doi.org/10.1038/ni1088
278 rdf:type schema:CreativeWork
279 sg:pub.10.1038/ni1449 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019330185
280 https://doi.org/10.1038/ni1449
281 rdf:type schema:CreativeWork
282 sg:pub.10.1038/ni1467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038187346
283 https://doi.org/10.1038/ni1467
284 rdf:type schema:CreativeWork
285 sg:pub.10.1038/nrmicro1050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013951605
286 https://doi.org/10.1038/nrmicro1050
287 rdf:type schema:CreativeWork
288 grid-institutes:None schema:alternateName Translational Research Unit, Department of Experimental Research, Istituto Nazionale Malattie Infettive Lazzaro Spallanzani- IRCCS Rome, 00149 Roma, Italy
289 schema:name Translational Research Unit, Department of Experimental Research, Istituto Nazionale Malattie Infettive Lazzaro Spallanzani- IRCCS Rome, 00149 Roma, Italy
290 rdf:type schema:Organization
291 grid-institutes:grid.416651.1 schema:alternateName Dipartimento di Malattie Infettive, Parassitarie e Immunomediate, Istituto Superiore di Sanità, 00161 Roma, Italy
292 schema:name Dipartimento di Malattie Infettive, Parassitarie e Immunomediate, Istituto Superiore di Sanità, 00161 Roma, Italy
293 rdf:type schema:Organization
 




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


...