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Adhesion molecules in patients after lung transplantation
B Bewig1, A Tiroke, H Böttcher
1Department of Internal Medicine, Christian-Albrechts-University, Kiel, Germany. bbewig@1med.uni-kiel.de
Clinical Transplantation
|October 9, 1999
Summary
Assessing leukocyte adhesion molecules like ICAM-1 in lung transplant patients did not reliably distinguish between rejection and infection. CD11b expression was higher during rejection but similar to infection episodes.
Area of Science:
- Immunology
- Transplantation Science
- Pulmonary Medicine
Background:
- Leukocyte adhesion molecules, including intercellular adhesion molecule (ICAM)-1, play a role in lung inflammation.
- Differential expression of ICAM-1 has been suggested during post-transplant complications.
- Understanding these molecules is crucial for managing lung transplant recipients.
Purpose of the Study:
- To investigate the role of ICAM-1 and its ligands (CD18, CD11a, CD11b, CD11c) in lung transplant patients.
- To compare the expression of these molecules during rejection, infection, and uncomplicated episodes.
- To determine if these markers can differentiate between rejection and infection post-lung transplantation.
Main Methods:
- Analysis of 98 bronchoalveolar lavage (BAL) and 90 serum samples from lung transplant patients.
- Immunocytochemical detection of ICAM-1, CD18, CD11a, CD11b, and CD11c on alveolar macrophages.
- Quantification of soluble ICAM-1 in serum and BAL fluid.
Main Results:
- CD11b expression on alveolar macrophages was significantly higher during rejection (64.6%) compared to controls (49.8%).
- CD11b expression during infection episodes (59.7%) showed no significant difference compared to rejection.
- No significant differences in the expression of ICAM-1, CD18, CD11a, or CD11c were found between normal, rejection, or infection episodes.
Conclusions:
- Assessment of ICAM-1 and its ligands, including CD11b, did not reliably differentiate between rejection and infection in lung transplant recipients.
- Further research may be needed to identify specific biomarkers for distinguishing post-transplant complications.