Caspofungin binding to iron compromises its antifungal efficacy against Candida albicans

作者
Andreia Pedras,Cláudia Malta-Luís,Luı́s M. P. Lima,Dalila Mil‐Homens,Catarina Amaral,Américo G. Duarte,Wilson Antunes,Ana Gaspar‐Cordeiro,Ricardo O. Louro,Pedro Lamosa,Cláudio M. Soares,Diana Lousa,Catarina Pimentel
出处
期刊:Communications biology [Nature Portfolio]
卷期号:8 (1): 1438-1438 被引量:2
标识
DOI:10.1038/s42003-025-08834-x
摘要

Echinocandins, which inhibit the synthesis of β-1,3-D-glucans, essential components of the fungal cell wall, are frontline drugs for invasive fungal infections (IFIs) caused by Candida spp. Recent in vitro studies have suggested that iron overload may reduce the efficacy of the echinocandin caspofungin against Candida albicans by altering its cell wall composition. Here, we show that iron loading conditions which do not interfere with the cell wall composition are still capable of recapitulating the caspofungin-resistant phenotype induced by iron. Spectroscopic analyses provided evidence that caspofungin binds to iron through its ethylenediamine moiety and two amide groups. Consistent with the in vitro activity of β-1,3-D-glucan synthase, the target of caspofungin, molecular dynamics simulations revealed that iron binding induces conformational changes in caspofungin, which may reduce its ability to inhibit the enzyme. Importantly, the in vivo antifungal efficacy of caspofungin was compromised in a Galleria mellonella model of IFI caused by C. albicans simulating a context of iron overload. This effect may extend beyond C. albicans infections, as the antagonism between iron and caspofungin was also observed in other medically important fungi causing IFIs.
最长约 10秒,即可获得该文献文件

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
豆沙完成签到,获得积分10
1秒前
1秒前
1秒前
打打应助自然的听南采纳,获得10
2秒前
完美世界应助傻子与白痴采纳,获得10
2秒前
科目三应助明理向露采纳,获得10
2秒前
2秒前
Ava应助时尚的沧海采纳,获得10
3秒前
3秒前
hyunjj_niel发布了新的文献求助10
3秒前
4秒前
勤奋月饼关注了科研通微信公众号
4秒前
Jasper应助墨染樱飞卿清叙采纳,获得10
4秒前
4秒前
专注科研完成签到,获得积分10
5秒前
6秒前
8秒前
8秒前
大西瓜发布了新的文献求助10
8秒前
9秒前
lyy完成签到,获得积分10
9秒前
11秒前
99发布了新的文献求助10
12秒前
李xy完成签到,获得积分20
12秒前
Hello应助寒风采纳,获得10
12秒前
su发布了新的文献求助10
12秒前
iOhyeye23完成签到 ,获得积分10
13秒前
体贴念薇发布了新的文献求助10
13秒前
lyy发布了新的文献求助10
13秒前
shihuda应助燕子采纳,获得10
14秒前
14秒前
14秒前
优秀的冬衣应助WOLF采纳,获得10
14秒前
唐惠娟完成签到,获得积分20
14秒前
15秒前
dog完成签到,获得积分10
15秒前
Hello应助柳柳采纳,获得10
15秒前
hklong发布了新的文献求助10
16秒前
16秒前
xiaodu发布了新的文献求助100
16秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7241161
求助须知:如何正确求助?哪些是违规求助? 8865997
关于积分的说明 18702542
捐赠科研通 6913352
什么是DOI,文献DOI怎么找? 3195700
关于科研通互助平台的介绍 2368359
邀请新用户注册赠送积分活动 2170265