Enzyme-Linked Immunosorbent Spot (ELISpot) monitoring of cytokine-producing cells for the prediction of acute rejection in renal transplant patients View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-09

AUTHORS

Fatemeh Mohammadi, Ghasem Solgi, Maryam Tajik, Pedram Ahmadpoor, Hasan Nikoeinejad, Behzad Einollahi, Banafsheh Nazari, Mahboob Lessan-pezeshki, Aliakbar Amirzargar

ABSTRACT

The purpose of this study was to evaluate T-cell immunity markers using serial post-transplantation monitoring of cytokine-producing cells during the first post-transplant months for the prediction of acute rejection and potentially chronic rejection of kidney allograft. We followed 57 kidney allograft recipients for meanly 3 years post-transplantation. Blood samples were collected pre-transplant, 2, 4 and 12 weeks post-transplant. The frequencies of IL-10-, IL-17- and IFN-γ-producing cells were determined in all time-points using ELISPOT assay. The results of ELISpot monitoring and levels of IL-23 and TGF-β were compared between recipients with acute (n = 12) or chronic rejection episodes and patients with stable graft function (n = 45). In all post-transplant time-points, significantly high frequencies of IFN-γ- and IL-17-producing cells and low frequency of IL-10-producing cells were observed in rejection group versus patients with stable graft function (P < 0.0001). The ROC curve analysis for determining the reliability of cytokine-producing cells for the prediction of acute rejection revealed that AUC was 0.046 for IL-10 (P < 0.001), 0.927 for IL-17 (P < 0.001) and 0.929 for INF-γ-producing cells (P < 0.001). Our results indicate that analyzing the frequencies of INF-γ/IL-10/IL-17-producing cells may define a reliable panel for the prediction of acute rejection within the first post-transplant year which could also be applicable for the prediction of chronic rejection episodes. More... »

PAGES

93-101

Identifiers

URI

http://scigraph.springernature.com/pub.10.1684/ecn.2017.0397

DOI

http://dx.doi.org/10.1684/ecn.2017.0397

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1099691490

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29187340


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cytokines", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Enzyme-Linked Immunospot Assay", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Graft Rejection", 
        "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-23", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kidney Transplantation", 
        "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": "Transforming Growth Factor beta", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tehran University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411705.6", 
          "name": [
            "Molecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mohammadi", 
        "givenName": "Fatemeh", 
        "id": "sg:person.01214204556.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214204556.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hamedan University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411950.8", 
          "name": [
            "Department of Immunology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Solgi", 
        "givenName": "Ghasem", 
        "id": "sg:person.0576750050.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576750050.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tehran University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411705.6", 
          "name": [
            "Molecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tajik", 
        "givenName": "Maryam", 
        "id": "sg:person.012346674433.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012346674433.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shahid Beheshti University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411600.2", 
          "name": [
            "Chronic Kidney Disease Research Center, Department of Nephrology, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahmadpoor", 
        "givenName": "Pedram", 
        "id": "sg:person.01114251457.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114251457.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Baqiyatallah University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411521.2", 
          "name": [
            "Nephrology and urology research center, Baqiyatallah university of medical sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nikoeinejad", 
        "givenName": "Hasan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Baqiyatallah University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411521.2", 
          "name": [
            "Nephrology and urology research center, Baqiyatallah university of medical sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Einollahi", 
        "givenName": "Behzad", 
        "id": "sg:person.0745337312.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745337312.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tehran University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411705.6", 
          "name": [
            "Molecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nazari", 
        "givenName": "Banafsheh", 
        "id": "sg:person.01071447616.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071447616.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tehran University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411705.6", 
          "name": [
            "Nephrology Research Center, Immam Komeini hospital, Tehran University of Medical Sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lessan-pezeshki", 
        "givenName": "Mahboob", 
        "id": "sg:person.0652543214.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652543214.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tehran University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411705.6", 
          "name": [
            "Molecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran", 
            "Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran", 
            "Immunogenetics Lab, Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Amirzargar", 
        "givenName": "Aliakbar", 
        "id": "sg:person.01057523000.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057523000.15"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/ndt/gfh1013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003458903"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.tp.0000144057.31799.6a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004202793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.tp.0000144057.31799.6a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004202793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clim.2014.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008741000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.transproceed.2005.08.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010897881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1034/j.1600-6143.2003.00132.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015555840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.transproceed.2010.10.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017228988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1215555", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017600793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1034/j.1600-6143.2002.20908.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017970715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.anndiagpath.2012.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020128023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0117618", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020938446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mot.0b013e32832ce88e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020987129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mot.0b013e32832ce88e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020987129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mot.0b013e32832ce88e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020987129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10157-012-0591-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024354280", 
          "https://doi.org/10.1007/s10157-012-0591-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mot.0b013e32833b7929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028331796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mot.0b013e32833b7929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028331796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mot.0b013e32833b7929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028331796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.trim.2006.09.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028337434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.transproceed.2014.11.065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036796730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/tp.0b013e3181af20fd", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037231129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/tp.0b013e3181af20fd", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037231129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/tp.0b013e3181af20fd", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037231129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.humimm.2013.09.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037678712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.transproceed.2009.07.053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040041717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/tri.12205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040368607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.transproceed.2011.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041128755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gft102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044245584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1600-6143.2008.02159.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044466950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.transproceed.2007.03.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046775122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078940663", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-09", 
    "datePublishedReg": "2017-09-01", 
    "description": "The purpose of this study was to evaluate T-cell immunity markers using serial post-transplantation monitoring of cytokine-producing cells during the first post-transplant months for the prediction of acute rejection and potentially chronic rejection of kidney allograft. We followed 57 kidney allograft recipients for meanly 3 years post-transplantation. Blood samples were collected pre-transplant, 2, 4 and 12 weeks post-transplant. The frequencies of IL-10-, IL-17- and IFN-\u03b3-producing cells were determined in all time-points using ELISPOT assay. The results of ELISpot monitoring and levels of IL-23 and TGF-\u03b2 were compared between recipients with acute (n\u00a0=\u00a012) or chronic rejection episodes and patients with stable graft function (n\u00a0=\u00a045). In all post-transplant time-points, significantly high frequencies of IFN-\u03b3- and IL-17-producing cells and low frequency of IL-10-producing cells were observed in rejection group versus patients with stable graft function (P\u2009<\u20090.0001). The ROC curve analysis for determining the reliability of cytokine-producing cells for the prediction of acute rejection revealed that AUC was 0.046 for IL-10 (P\u2009<\u20090.001), 0.927 for IL-17 (P\u2009<\u20090.001) and 0.929 for INF-\u03b3-producing cells (P\u2009<\u20090.001). Our results indicate that analyzing the frequencies of INF-\u03b3/IL-10/IL-17-producing cells may define a reliable panel for the prediction of acute rejection within the first post-transplant year which could also be applicable for the prediction of chronic rejection episodes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1684/ecn.2017.0397", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1100922", 
        "issn": [
          "1148-5493", 
          "1952-4005"
        ], 
        "name": "European Cytokine Network", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "28"
      }
    ], 
    "name": "Enzyme-Linked Immunosorbent Spot (ELISpot) monitoring of cytokine-producing cells for the prediction of acute rejection in renal transplant patients", 
    "pagination": "93-101", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "051f0ef57443134c7468e9338eae18ed7aae11c666d45aab98f9d180921d699f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29187340"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9100879"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1684/ecn.2017.0397"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1099691490"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1684/ecn.2017.0397", 
      "https://app.dimensions.ai/details/publication/pub.1099691490"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:16", 
    "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_8675_00000493.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1684/ecn.2017.0397"
  }
]
 

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.10.1684/ecn.2017.0397'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1684/ecn.2017.0397'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1684/ecn.2017.0397'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1684/ecn.2017.0397'


 

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

264 TRIPLES      21 PREDICATES      67 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1684/ecn.2017.0397 schema:about N0761fc7e0b6041d6b0f52913e95f2d50
2 N17485f88a6814be28bddb7bfa431ad11
3 N291e834a72b34211934ebd908e20cc5b
4 N3530fe95a34c483c89404243a05610c0
5 N4df539916b214f0c823015661e3fc15e
6 N508ba56f80974baaaa9738160ae2dc7a
7 N57da65e4547c4454aa71a37f8f6af2b1
8 N5ea03331891640a7a9c0bfb2fb94df22
9 N794034a6dd3a43a6b2a303195e87e09e
10 N81285438019b4526a5d1406d44acad5e
11 N83f5f9cd26274e709c584db606ab110b
12 Na520779945124714b8aabeb6f5f70390
13 Nd86bd78c1a674416985015e17483a1fa
14 Nf41cad53f083416591deec72bff53476
15 anzsrc-for:11
16 anzsrc-for:1103
17 schema:author N0d82570240344a37b5ff3b1448e91cc6
18 schema:citation sg:pub.10.1007/s10157-012-0591-9
19 https://app.dimensions.ai/details/publication/pub.1078940663
20 https://doi.org/10.1016/j.anndiagpath.2012.08.002
21 https://doi.org/10.1016/j.clim.2014.07.007
22 https://doi.org/10.1016/j.humimm.2013.09.010
23 https://doi.org/10.1016/j.transproceed.2005.08.004
24 https://doi.org/10.1016/j.transproceed.2007.03.015
25 https://doi.org/10.1016/j.transproceed.2009.07.053
26 https://doi.org/10.1016/j.transproceed.2010.10.014
27 https://doi.org/10.1016/j.transproceed.2011.01.005
28 https://doi.org/10.1016/j.transproceed.2014.11.065
29 https://doi.org/10.1016/j.trim.2006.09.026
30 https://doi.org/10.1034/j.1600-6143.2002.20908.x
31 https://doi.org/10.1034/j.1600-6143.2003.00132.x
32 https://doi.org/10.1056/nejmoa1215555
33 https://doi.org/10.1093/ndt/gfh1013
34 https://doi.org/10.1093/ndt/gft102
35 https://doi.org/10.1097/01.tp.0000144057.31799.6a
36 https://doi.org/10.1097/mot.0b013e32832ce88e
37 https://doi.org/10.1097/mot.0b013e32833b7929
38 https://doi.org/10.1097/tp.0b013e3181af20fd
39 https://doi.org/10.1111/j.1600-6143.2008.02159.x
40 https://doi.org/10.1111/tri.12205
41 https://doi.org/10.1371/journal.pone.0117618
42 schema:datePublished 2017-09
43 schema:datePublishedReg 2017-09-01
44 schema:description The purpose of this study was to evaluate T-cell immunity markers using serial post-transplantation monitoring of cytokine-producing cells during the first post-transplant months for the prediction of acute rejection and potentially chronic rejection of kidney allograft. We followed 57 kidney allograft recipients for meanly 3 years post-transplantation. Blood samples were collected pre-transplant, 2, 4 and 12 weeks post-transplant. The frequencies of IL-10-, IL-17- and IFN-γ-producing cells were determined in all time-points using ELISPOT assay. The results of ELISpot monitoring and levels of IL-23 and TGF-β were compared between recipients with acute (n = 12) or chronic rejection episodes and patients with stable graft function (n = 45). In all post-transplant time-points, significantly high frequencies of IFN-γ- and IL-17-producing cells and low frequency of IL-10-producing cells were observed in rejection group versus patients with stable graft function (P < 0.0001). The ROC curve analysis for determining the reliability of cytokine-producing cells for the prediction of acute rejection revealed that AUC was 0.046 for IL-10 (P < 0.001), 0.927 for IL-17 (P < 0.001) and 0.929 for INF-γ-producing cells (P < 0.001). Our results indicate that analyzing the frequencies of INF-γ/IL-10/IL-17-producing cells may define a reliable panel for the prediction of acute rejection within the first post-transplant year which could also be applicable for the prediction of chronic rejection episodes.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree false
48 schema:isPartOf N50067d394787430987f68974921b4042
49 Nfab4e1dc6a1642d899c8ba1fa8416608
50 sg:journal.1100922
51 schema:name Enzyme-Linked Immunosorbent Spot (ELISpot) monitoring of cytokine-producing cells for the prediction of acute rejection in renal transplant patients
52 schema:pagination 93-101
53 schema:productId N279af7021c4c48029a193598af3ad982
54 N546f77b160d741218e3949963560fbb5
55 N967b73e538804cde8bd7523bbdf0b2dc
56 Ne31adab43e0f47a88700833bcdaa6cbd
57 Nead0713e1ab64bda81700bc601617c9c
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099691490
59 https://doi.org/10.1684/ecn.2017.0397
60 schema:sdDatePublished 2019-04-10T18:16
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N8cd38d56c26e4105b443e14058f7cbe9
63 schema:url http://link.springer.com/10.1684/ecn.2017.0397
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N0761fc7e0b6041d6b0f52913e95f2d50 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Cytokines
69 rdf:type schema:DefinedTerm
70 N0d82570240344a37b5ff3b1448e91cc6 rdf:first sg:person.01214204556.92
71 rdf:rest Nad62714d12b341eabe5f2ef5b7d7d141
72 N17485f88a6814be28bddb7bfa431ad11 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Interferon-gamma
74 rdf:type schema:DefinedTerm
75 N1af4192b6c4a40fbac8e38ce4be59921 schema:affiliation https://www.grid.ac/institutes/grid.411521.2
76 schema:familyName Nikoeinejad
77 schema:givenName Hasan
78 rdf:type schema:Person
79 N1c717206ee9e457fb7b17cf4484300b1 rdf:first sg:person.01071447616.06
80 rdf:rest N9c1212e1fe4b4f658053616a31d4fd1b
81 N279af7021c4c48029a193598af3ad982 schema:name nlm_unique_id
82 schema:value 9100879
83 rdf:type schema:PropertyValue
84 N291e834a72b34211934ebd908e20cc5b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Transforming Growth Factor beta
86 rdf:type schema:DefinedTerm
87 N3530fe95a34c483c89404243a05610c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Humans
89 rdf:type schema:DefinedTerm
90 N3d082eb922a3403eaf75ab1827c55a45 rdf:first sg:person.01114251457.90
91 rdf:rest N6b374ce9ce81470a99feb786f2f84de1
92 N4df539916b214f0c823015661e3fc15e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Kidney Transplantation
94 rdf:type schema:DefinedTerm
95 N50067d394787430987f68974921b4042 schema:volumeNumber 28
96 rdf:type schema:PublicationVolume
97 N508ba56f80974baaaa9738160ae2dc7a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Adult
99 rdf:type schema:DefinedTerm
100 N546f77b160d741218e3949963560fbb5 schema:name pubmed_id
101 schema:value 29187340
102 rdf:type schema:PropertyValue
103 N57da65e4547c4454aa71a37f8f6af2b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Interleukin-10
105 rdf:type schema:DefinedTerm
106 N5ea03331891640a7a9c0bfb2fb94df22 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Graft Rejection
108 rdf:type schema:DefinedTerm
109 N6b374ce9ce81470a99feb786f2f84de1 rdf:first N1af4192b6c4a40fbac8e38ce4be59921
110 rdf:rest N74272811f78a497eb2dd8f849cbe1ecf
111 N74272811f78a497eb2dd8f849cbe1ecf rdf:first sg:person.0745337312.13
112 rdf:rest N1c717206ee9e457fb7b17cf4484300b1
113 N794034a6dd3a43a6b2a303195e87e09e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Interleukin-17
115 rdf:type schema:DefinedTerm
116 N7d255f1d199541d0a64fe55b973226fd rdf:first sg:person.012346674433.18
117 rdf:rest N3d082eb922a3403eaf75ab1827c55a45
118 N81285438019b4526a5d1406d44acad5e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Male
120 rdf:type schema:DefinedTerm
121 N83f5f9cd26274e709c584db606ab110b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Enzyme-Linked Immunospot Assay
123 rdf:type schema:DefinedTerm
124 N8cd38d56c26e4105b443e14058f7cbe9 schema:name Springer Nature - SN SciGraph project
125 rdf:type schema:Organization
126 N967b73e538804cde8bd7523bbdf0b2dc schema:name dimensions_id
127 schema:value pub.1099691490
128 rdf:type schema:PropertyValue
129 N9c1212e1fe4b4f658053616a31d4fd1b rdf:first sg:person.0652543214.18
130 rdf:rest Na9eba005c9a1454088676702474d9358
131 Na520779945124714b8aabeb6f5f70390 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Interleukin-23
133 rdf:type schema:DefinedTerm
134 Na9eba005c9a1454088676702474d9358 rdf:first sg:person.01057523000.15
135 rdf:rest rdf:nil
136 Nad62714d12b341eabe5f2ef5b7d7d141 rdf:first sg:person.0576750050.40
137 rdf:rest N7d255f1d199541d0a64fe55b973226fd
138 Nd86bd78c1a674416985015e17483a1fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Female
140 rdf:type schema:DefinedTerm
141 Ne31adab43e0f47a88700833bcdaa6cbd schema:name doi
142 schema:value 10.1684/ecn.2017.0397
143 rdf:type schema:PropertyValue
144 Nead0713e1ab64bda81700bc601617c9c schema:name readcube_id
145 schema:value 051f0ef57443134c7468e9338eae18ed7aae11c666d45aab98f9d180921d699f
146 rdf:type schema:PropertyValue
147 Nf41cad53f083416591deec72bff53476 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Middle Aged
149 rdf:type schema:DefinedTerm
150 Nfab4e1dc6a1642d899c8ba1fa8416608 schema:issueNumber 3
151 rdf:type schema:PublicationIssue
152 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
153 schema:name Medical and Health Sciences
154 rdf:type schema:DefinedTerm
155 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
156 schema:name Clinical Sciences
157 rdf:type schema:DefinedTerm
158 sg:journal.1100922 schema:issn 1148-5493
159 1952-4005
160 schema:name European Cytokine Network
161 rdf:type schema:Periodical
162 sg:person.01057523000.15 schema:affiliation https://www.grid.ac/institutes/grid.411705.6
163 schema:familyName Amirzargar
164 schema:givenName Aliakbar
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057523000.15
166 rdf:type schema:Person
167 sg:person.01071447616.06 schema:affiliation https://www.grid.ac/institutes/grid.411705.6
168 schema:familyName Nazari
169 schema:givenName Banafsheh
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071447616.06
171 rdf:type schema:Person
172 sg:person.01114251457.90 schema:affiliation https://www.grid.ac/institutes/grid.411600.2
173 schema:familyName Ahmadpoor
174 schema:givenName Pedram
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114251457.90
176 rdf:type schema:Person
177 sg:person.01214204556.92 schema:affiliation https://www.grid.ac/institutes/grid.411705.6
178 schema:familyName Mohammadi
179 schema:givenName Fatemeh
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214204556.92
181 rdf:type schema:Person
182 sg:person.012346674433.18 schema:affiliation https://www.grid.ac/institutes/grid.411705.6
183 schema:familyName Tajik
184 schema:givenName Maryam
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012346674433.18
186 rdf:type schema:Person
187 sg:person.0576750050.40 schema:affiliation https://www.grid.ac/institutes/grid.411950.8
188 schema:familyName Solgi
189 schema:givenName Ghasem
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576750050.40
191 rdf:type schema:Person
192 sg:person.0652543214.18 schema:affiliation https://www.grid.ac/institutes/grid.411705.6
193 schema:familyName Lessan-pezeshki
194 schema:givenName Mahboob
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652543214.18
196 rdf:type schema:Person
197 sg:person.0745337312.13 schema:affiliation https://www.grid.ac/institutes/grid.411521.2
198 schema:familyName Einollahi
199 schema:givenName Behzad
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745337312.13
201 rdf:type schema:Person
202 sg:pub.10.1007/s10157-012-0591-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024354280
203 https://doi.org/10.1007/s10157-012-0591-9
204 rdf:type schema:CreativeWork
205 https://app.dimensions.ai/details/publication/pub.1078940663 schema:CreativeWork
206 https://doi.org/10.1016/j.anndiagpath.2012.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020128023
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.clim.2014.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008741000
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.humimm.2013.09.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037678712
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.transproceed.2005.08.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010897881
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.transproceed.2007.03.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046775122
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.transproceed.2009.07.053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040041717
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.transproceed.2010.10.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017228988
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.transproceed.2011.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041128755
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.transproceed.2014.11.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036796730
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/j.trim.2006.09.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028337434
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1034/j.1600-6143.2002.20908.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017970715
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1034/j.1600-6143.2003.00132.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015555840
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1056/nejmoa1215555 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017600793
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1093/ndt/gfh1013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003458903
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1093/ndt/gft102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044245584
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1097/01.tp.0000144057.31799.6a schema:sameAs https://app.dimensions.ai/details/publication/pub.1004202793
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1097/mot.0b013e32832ce88e schema:sameAs https://app.dimensions.ai/details/publication/pub.1020987129
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1097/mot.0b013e32833b7929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028331796
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1097/tp.0b013e3181af20fd schema:sameAs https://app.dimensions.ai/details/publication/pub.1037231129
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1111/j.1600-6143.2008.02159.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044466950
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1111/tri.12205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040368607
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1371/journal.pone.0117618 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020938446
249 rdf:type schema:CreativeWork
250 https://www.grid.ac/institutes/grid.411521.2 schema:alternateName Baqiyatallah University of Medical Sciences
251 schema:name Nephrology and urology research center, Baqiyatallah university of medical sciences, Tehran, Iran
252 rdf:type schema:Organization
253 https://www.grid.ac/institutes/grid.411600.2 schema:alternateName Shahid Beheshti University of Medical Sciences
254 schema:name Chronic Kidney Disease Research Center, Department of Nephrology, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
255 rdf:type schema:Organization
256 https://www.grid.ac/institutes/grid.411705.6 schema:alternateName Tehran University of Medical Sciences
257 schema:name Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
258 Immunogenetics Lab, Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
259 Molecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran
260 Nephrology Research Center, Immam Komeini hospital, Tehran University of Medical Sciences, Tehran, Iran
261 rdf:type schema:Organization
262 https://www.grid.ac/institutes/grid.411950.8 schema:alternateName Hamedan University of Medical Sciences
263 schema:name Department of Immunology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
264 rdf:type schema:Organization
 




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


...