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Pregled bibliografske jedinice broj: 216520

Pretransplant sCD30 and TNF-α as predicting value of acute kidney rejecton


Humar, Ines; Bubić, Ljubica; Puretic, Zvonimir; Pasini, Josip; Kerhin Brkljačić, Vesna
Pretransplant sCD30 and TNF-α as predicting value of acute kidney rejecton // Transplant international, 18 (2005), 1. (podatak o recenziji nije dostupan, kongresno priopcenje, znanstveni)


CROSBI ID: 216520 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Pretransplant sCD30 and TNF-α as predicting value of acute kidney rejecton

Autori
Humar, Ines ; Bubić, Ljubica ; Puretic, Zvonimir ; Pasini, Josip ; Kerhin Brkljačić, Vesna

Izvornik
Transplant international (0934-0874) 18 (2005), 1;

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, kongresno priopcenje, znanstveni

Ključne riječi
sCD30; TNF-α; kidney transplantation

Sažetak
Aims: The proinflammatory cytokine tumor necrosis factor-alpha (TNF-) has been implicated in the pathogenesis of acute rejection (AR) while recent studies suggest that serum level of soluble CD30 (sCD30), as a marker for the activation state of Th2-type cytokine, is a useful predictor of graft outcome. The aim of this study was to determine whether TNF-and sCD30 influence the incidence and severity of AR in the first six months following kidney transplantation. Methods: Pretransplant sera of 79 deceased-donor kidney recipients were retrospectively tested for serum level of TNF-and sCD30 using commercially available ELISA kits. Inclusion criteria were first graft patients with cylosporinebased immunosuppression, alive with functioning graft and at least one year follow up. The rejection episodes were defined clinically and classified as steroid-resistant or responsive. Results: The incidence of AR was 18% in-group of recipients with high level TNF-and 24% was free of rejection. With respect to the sCD30, incidence of AR was significantly correlated (p=0.00001, Fishers Exact). Than recipient cytokines were analyzed together, the sCD30 producer had worse prognosis, 47% with episode of AR versus high level of TNF-25% at level of significance (p=0.004, Fishers Exact). However sCD30 positive/high TNF-recipients had more severe and two or more AR episodes. Conclusion: Our data indicate that sCD30 is an important marker of AR following kidney transplantation. However it is still useful to combine few immunological parameters which may have clinical role in identifying patients at risk of multiple and severe rejections.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti



POVEZANOST RADA


Projekti:
0108123

Ustanove:
Medicinski fakultet, Zagreb,
Klinički bolnički centar Zagreb


Citiraj ovu publikaciju:

Humar, Ines; Bubić, Ljubica; Puretic, Zvonimir; Pasini, Josip; Kerhin Brkljačić, Vesna
Pretransplant sCD30 and TNF-α as predicting value of acute kidney rejecton // Transplant international, 18 (2005), 1. (podatak o recenziji nije dostupan, kongresno priopcenje, znanstveni)
Humar, I., Bubić, L., Puretic, Z., Pasini, J. & Kerhin Brkljačić, V. (2005) Pretransplant sCD30 and TNF-α as predicting value of acute kidney rejecton. Transplant international, 18 (1).
@article{article, author = {Humar, Ines and Bubi\'{c}, Ljubica and Puretic, Zvonimir and Pasini, Josip and Kerhin Brklja\v{c}i\'{c}, Vesna}, year = {2005}, pages = {121}, keywords = {sCD30, TNF-α, kidney transplantation}, journal = {Transplant international}, volume = {18}, number = {1}, issn = {0934-0874}, title = {Pretransplant sCD30 and TNF-α as predicting value of acute kidney rejecton}, keyword = {sCD30, TNF-α, kidney transplantation} }
@article{article, author = {Humar, Ines and Bubi\'{c}, Ljubica and Puretic, Zvonimir and Pasini, Josip and Kerhin Brklja\v{c}i\'{c}, Vesna}, year = {2005}, pages = {121}, keywords = {sCD30, TNF-α, kidney transplantation}, journal = {Transplant international}, volume = {18}, number = {1}, issn = {0934-0874}, title = {Pretransplant sCD30 and TNF-α as predicting value of acute kidney rejecton}, keyword = {sCD30, TNF-α, kidney transplantation} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE





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