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1000 Titel
  • An explorative study on deep profiling of peripheral leukocytes to identify predictors for responsiveness to anti-tumour necrosis factor alpha therapies in ankylosing spondylitis: natural killer cells in focus
1000 Autor/in
  1. Schulte-Wrede, Ursula |
  2. Sörensen, Till |
  3. Grün, Joachim R. |
  4. Häupl, Thomas |
  5. Hirseland, Heike |
  6. Steinbrich-Zöllner, Marta |
  7. Wu, Peihua |
  8. Radbruch, Andreas |
  9. Poddubnyy, Denis |
  10. Sieper, Joachim |
  11. Syrbe, Uta |
  12. Grützkau, Andreas |
1000 Erscheinungsjahr 2018
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-08-29
1000 Erschienen in
1000 Quellenangabe
  • 20(1):191
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13075-018-1692-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6116509/ |
1000 Ergänzendes Material
  • https://arthritis-research.biomedcentral.com/articles/10.1186/s13075-018-1692-y#Sec12 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Therapeutic targeting of tumour necrosis factor (TNF)-α is highly effective in ankylosing spondylitis (AS) patients. However, since one-third of anti-TNF-treated AS patients do not show an adequate clinical response there is an urgent need for new biomarkers that would aid clinicians in their decision-making to select appropriate therapeutic options. Thus, the aim of this explorative study was to identify cell-based biomarkers in peripheral blood that could be used for a pre-treatment stratification of AS patients. METHODS: A high-dimensional, multi-parametric flow cytometric approach was applied to identify baseline predictors in 31 AS patients before treatment with the TNF blockers adalimumab (TNF-neutralisation) and etanercept (soluble TNF receptor). RESULTS: As the major result, the frequencies of natural killer (NK) cells, and in particular CD8-positive (CD8+) NK cell subsets, were most predictive for therapeutic outcome in AS patients. While an inverse correlation between classical CD56+/CD16+ NK cells and reduction of disease activity was observed, the CD8+ NK cell subset behaved in the opposite direction. At baseline, responders showed significantly increased frequencies of CD8+ NK cells compared with non-responders. CONCLUSIONS: This is the first study demonstrating that the composition of the NK cell compartment has predictive power for prediction of therapeutic outcome for anti-TNF-α blockers, and we identified CD8+ NK cells as a potential new player in the TNF-α-driven chronic inflammatory immune response of AS.
1000 Sacherschließung
lokal CD8+ NK cells
lokal Etanercept
lokal TNF-alpha blocker
lokal Predictive biomarker
lokal Ankylosing spondylitis
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/U2NodWx0ZS1XcmVkZSwgVXJzdWxh|https://frl.publisso.de/adhoc/uri/U8O2cmVuc2VuLCBUaWxs|https://orcid.org/0000-0002-2875-3691|https://orcid.org/0000-0002-3792-9724|https://frl.publisso.de/adhoc/uri/SGlyc2VsYW5kLCBIZWlrZQ==|https://frl.publisso.de/adhoc/uri/U3RlaW5icmljaC1aw7ZsbG5lciwgTWFydGE=|https://frl.publisso.de/adhoc/uri/V3UsIFBlaWh1YQ==|https://frl.publisso.de/adhoc/uri/UmFkYnJ1Y2gsIEFuZHJlYXM=|https://orcid.org/0000-0002-4537-6015|https://frl.publisso.de/adhoc/uri/U2llcGVyLCBKb2FjaGlt|https://orcid.org/0000-0001-8463-7890|https://frl.publisso.de/adhoc/uri/R3LDvHR6a2F1LCBBbmRyZWFz
1000 Label
1000 Förderer
  1. FP7 Joint Technology Initiatives |
  2. Deutsche Forschungsgemeinschaft |
  3. Bundesministerium für Bildung und Forschung |
  4. Leibniz-Gemeinschaft |
1000 Fördernummer
  1. 115142–2
  2. SFB 650 TPZ06
  3. 01ZX1306B
  4. -
1000 Förderprogramm
  1. BeTheCure
  2. -
  3. e:Med research; sysINFLAME
  4. Leibniz ScienceCampus Chronic Inflammation
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer FP7 Joint Technology Initiatives |
    1000 Förderprogramm BeTheCure
    1000 Fördernummer 115142–2
  2. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer SFB 650 TPZ06
  3. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm e:Med research; sysINFLAME
    1000 Fördernummer 01ZX1306B
  4. 1000 joinedFunding-child
    1000 Förderer Leibniz-Gemeinschaft |
    1000 Förderprogramm Leibniz ScienceCampus Chronic Inflammation
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6423130.rdf
1000 Erstellt am 2020-09-25T12:23:04.567+0200
1000 Erstellt von 122
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1000 Bearbeitet von 122
1000 Zuletzt bearbeitet 2020-09-25T12:31:05.977+0200
1000 Objekt bearb. Fri Sep 25 12:30:27 CEST 2020
1000 Vgl. frl:6423130
1000 Oai Id
  1. oai:frl.publisso.de:frl:6423130 |
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