Treatment of Psoriasis with a New Combination of Calcipotriol and Betamethasone Dipropionate: A Flow Cytometric Study

作者
Michelle M. van Rossum,P.E.J. van Erp,P.C.M. van de Kerkhof
出处
期刊:Dermatology [Karger Publishers]
卷期号:203 (2): 148-152 被引量:25
标识
DOI:10.1159/000051730
摘要

BACKGROUND: Calcipotriol and corticosteroids are established topical antipsoriatics. Previous studies have shown that combined therapy with calcipotriol and betamethasone dipropionate was more effective than monotherapy. In the present study, a recently developed combination product of calcipotriol and betamethasone dipropionate was compared with both monotherapies and the vehicle. METHODS: Twenty-five psoriatic patients were treated twice daily with the combination product, monotherapy or vehicle during 4 weeks. Skin biopsies, taken before and after treatment, were analysed using a multi-parameter flow cytometric method. Parameters of inflammation (vimentin-positive cells), normal differentiation (keratin-10-positive cells) and proliferation (cells in SG(2)M-phase) were assessed. RESULTS: Flow cytometric analysis showed that the combination product turned out to be more effective in reducing inflammation compared with the other treatments. Restoration of normal differentiation was more advanced in patients treated with the combination product or betamethasone dipropionate compared to the vehicle. The highest number of normally differentiated cells was seen after use of the combination product. All treatments, except for the vehicle, decreased hyperproliferation. CONCLUSIONS This study shows that the combination product is a valuable new approach to the treatment of psoriasis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
33016715完成签到,获得积分10
2秒前
小二郎应助刘赟采纳,获得10
3秒前
3秒前
月白发布了新的文献求助10
5秒前
xinxin发布了新的文献求助10
5秒前
6秒前
7秒前
10秒前
boge5633完成签到,获得积分10
11秒前
Nnn完成签到,获得积分10
13秒前
韩小小完成签到,获得积分10
13秒前
ZZICU发布了新的文献求助10
14秒前
14秒前
16秒前
优秀的采蓝完成签到,获得积分10
17秒前
18秒前
打打应助偏执苦楚采纳,获得10
20秒前
sss发布了新的文献求助10
21秒前
Elaine2021完成签到 ,获得积分10
21秒前
21秒前
模仿发布了新的文献求助10
21秒前
刘赟发布了新的文献求助10
22秒前
wu发布了新的文献求助10
22秒前
23秒前
23秒前
26秒前
RATHER发布了新的文献求助10
26秒前
26秒前
科研通AI6.3应助xinxin采纳,获得30
27秒前
英姑应助152455采纳,获得10
28秒前
乐乐应助zhizhiheyu采纳,获得10
28秒前
29秒前
Lucas应助wu采纳,获得10
29秒前
CodeCraft应助研友_ngqxV8采纳,获得20
29秒前
liuliu发布了新的文献求助10
30秒前
31秒前
铁锤牛马版应助耶稣与梦采纳,获得50
31秒前
31秒前
月白发布了新的文献求助10
31秒前
33秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Health Psychology 800
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7593865
求助须知:如何正确求助?哪些是违规求助? 9170961
关于积分的说明 19630216
捐赠科研通 7171622
什么是DOI,文献DOI怎么找? 3267682
关于科研通互助平台的介绍 2432486
邀请新用户注册赠送积分活动 2260315