Direkt zum Inhalt
  1. Publizieren |
  2. Suche |
  3. Browsen |
  4. Neuzugänge rss |
  5. Open Access |
  6. Rechtsfragen |
  7. EnglishCookie löschen - von nun an wird die Spracheinstellung Ihres Browsers verwendet.

Chemokine analysis as a novel diagnostic modality in the early prediction of the outcome of non-union therapy: a matched pair analysis

Haubruck, Patrick ; Solte, Anja ; Heller, Raban ; Daniel, Volker ; Tanner, Michael ; Moghaddam, Arash ; Schmidmaier, Gerhard ; Fischer, Christian

In: Journal of Orthopaedic Surgery and Research, 13 (2018), Nr. 249. S. 1-11. ISSN 1749-799X

[thumbnail of 13018_2018_Article_961.pdf]
Vorschau
PDF, Englisch
Download (1MB) | Lizenz: Creative Commons LizenzvertragChemokine analysis as a novel diagnostic modality in the early prediction of the outcome of non-union therapy: a matched pair analysis von Haubruck, Patrick ; Solte, Anja ; Heller, Raban ; Daniel, Volker ; Tanner, Michael ; Moghaddam, Arash ; Schmidmaier, Gerhard ; Fischer, Christian steht unter einer Creative Commons Namensnennung 3.0 Deutschland

Zitieren von Dokumenten: Bitte verwenden Sie für Zitate nicht die URL in der Adresszeile Ihres Webbrowsers, sondern entweder die angegebene DOI, URN oder die persistente URL, deren langfristige Verfügbarkeit wir garantieren. [mehr ...]

Abstract

Background: Despite the regenerative capability of skeletal tissue fracture, non-union is common. Treatment of non-unions remains challenging, and early determination of the outcome is impossible. Chemokines play an important role in promoting the formation of new bone and remodeling existing bone. Despite their importance regarding the regulation of bone biology, the potential of chemokines as biological markers reflecting osseous regeneration is unknown. The purpose of this study was to determine (1) if serum chemokine expression levels correlate with the outcome of non-union surgery and (2) if chemokine expression analysis can be used to identify patients at risk for treatment failure.

Methods: Non-union patients receiving surgical therapy in our institution between March 2012 and March 2014 were prospectively enrolled in a clinical observer study. Regular clinical and radiological follow-up was conducted for 12 months including collection of blood during the first 12 weeks. Based on the outcome, patients were declared as responders or non-responders to the therapy. To minimize biases, patients were matched (age, sex, body mass index (BMI)) and two groups of patients could be formed: responders (R, n = 10) and non-responders (NR, n = 10). Serum chemokine expression (CCL-2, CCL-3, CCL-4, CXCL-10, CCL-11, and interferon gamma (IFN-γ)) was analyzed using Luminex assays. Data was compared and correlated to the outcome.

Results: CCL-3 expression in NR was significantly higher during the course of the study compared to R (p = 0.002), and the expression pattern of CCL-4 correlated with CCL-3 in both groups (NR: p < 0.001 and r = 0.63). IFN-γ expression in NR was continuously higher than in R (p < 0.001), and utilization of CCL-3 and IFN-γ serum expression levels 2 weeks after the treatment resulted in a predictive model that had an AUC of 0.92 (CI 0.74–1.00).

Conclusion: Serum chemokine expression analysis over time is a valid and promising diagnostic tool. The chemokine expression pattern correlates with the outcome of the Masquelet therapy of lower limb non-unions. Utilization of the serum analysis of CCL-3 and IFN-γ 2 weeks after the treatment resulted in an early predictive value regarding the differentiation between patients that are likely to heal and those that are prone to high risk of treatment failure.

Dokumententyp: Artikel
Titel der Zeitschrift: Journal of Orthopaedic Surgery and Research
Band: 13
Nummer: 249
Verlag: BioMed Central
Ort der Veröffentlichung: London
Erstellungsdatum: 15 Okt. 2018 08:22
Erscheinungsjahr: 2018
ISSN: 1749-799X
Seitenbereich: S. 1-11
Institute/Einrichtungen: Medizinische Fakultät Heidelberg und Uniklinikum > Orthopädische Klinik
Medizinische Fakultät Heidelberg und Uniklinikum > Institut für Immunologie
DDC-Sachgruppe: 610 Medizin
Leitlinien | Häufige Fragen | Kontakt | Impressum |
OA-LogoDINI-Zertifikat 2013Logo der Open-Archives-Initiative