Suppr超能文献

Granulocyte sequestration in dialysers: a comparative elution study of three different membranes.

作者信息

Grooteman M P, Nubé M J, van Houte A J, Schoorl M, van Limbeek J

机构信息

Department of Nephrology, Medical Center Alkmaar, The Netherlands.

出版信息

Nephrol Dial Transplant. 1995 Oct;10(10):1859-64.

PMID:8592594
Abstract

BACKGROUND

The present study was designed to investigate the expression of activation markers on polymorphonuclear cells (PMN) in peripheral blood and dialyser eluates, comparing three different membranes.

METHODS

Eight patients were studied during HD with cellulose triacetate (CTA), cuprammonium (CU), and polysulphone (PS) dialysers in a randomized crossover design. In addition to total cell count and microscopic leukocyte differentiation, the expression of degranulation (CD63, CD66b) and adhesion (CD62L) markers on PMN was analysed in peripheral blood over time, and in dialyser eluates at the end of HD.

RESULTS

In peripheral blood a significant drop in PMN was noted only during CU HD (P < 0.001), whereas none of the membranes induced any substantial change in the expression of the activation markers mentioned. In dialyser eluates the mean number of cells was 53 x 10(6), CTA yielding a significantly higher number as compared with CU (P = 0.05). The proportion of PMN was 81-91% (P < 0.05 versus peripheral blood). The expression of CD63, and especially CD66b, in dialyser eluates of all membranes was significantly higher in comparison with peripheral blood, whereas the expression of CD62L in dialyser eluates was considerably lower.

CONCLUSIONS

Dialyser eluates of all three dialysers consisted mainly of PMN. Based on the relatively modest cell numbers and the expression of the activation markers described, our results suggest primarily degranulation within the dialyser. Apart from differences in cell numbers, CTA yielding the highest cell counts, no differences between CTA, CU, and PS could be demonstrated in dialyser eluates.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验