LB1742 Profiling of the skin surface metabolome, an essential bridge linking skin microbiome and skin phenome

现象 代谢组 微生物群 生物 计算生物学 生物信息学 代谢组学 遗传学 表型 基因
作者
Hui Chen,Ye Chen,Suizhong Cao,Yanjiao Zhou,Jing Wang,Jianguo Xia
出处
期刊:Journal of Investigative Dermatology [Elsevier]
卷期号:143 (9): B24-B24
标识
DOI:10.1016/j.jid.2023.06.120
摘要

The skin is a complex ecosystem harboring millions of microorganisms. Resource availability (nutrients) is considered a crucial selection pressure shaping the system, which can be assessed by skin surface metabolome. Skin surface metabolome is also essential for addressing the underlying mechanism between microbe-host interaction. Here, we first review metabolites on the skin from various metabolome studies. We next detected and quantified metabolites through our samples from healthy human forearm skin using five analytical approaches: quantitative lipidomics, widely targeted lipidomics, widely targeted metabolomics, and targeted 500 metabolomics and oxidized lipidomics. Our results showed that the diverse substances present on the skin surface, derived from the host (stratum corneum, skin appendages and plasma), environment (xenobiotics) and microbial metabolism, mainly comprised of lipids, amino acids, sugars, peptides, vitamins, hormones, pheromones, and other xenobiotics. Our samples showed free fatty acids (FFAs) and triglycerides (TGs) are the core lipids on the skin surface, accounting for approximately 90% of individual total lipids, with FFAs being the most abundant subclass (55%) and TGs are the most diverse subclass. In addition, the polar compounds on the skin primarily comprise amino acids, organic acids and their derivatives, nucleotides and their metabolites, and hormones and hormone-related compounds. Overall, our study provides a comprehensive overview of the skin surface metabolome that will facilitate future studies for skin microbiome-host interaction.
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
刚刚
2秒前
2秒前
2秒前
2秒前
科研通AI5应助GGG采纳,获得10
3秒前
3秒前
5秒前
Ann发布了新的文献求助20
5秒前
5秒前
buno应助duxinyue采纳,获得10
5秒前
xlj发布了新的文献求助10
6秒前
6秒前
可爱的函函应助zhen采纳,获得10
7秒前
研友_VZG7GZ应助dingdong采纳,获得10
8秒前
8秒前
李成恩完成签到 ,获得积分10
9秒前
心碎的黄焖鸡完成签到 ,获得积分10
9秒前
琪琪扬扬发布了新的文献求助10
10秒前
11秒前
11秒前
宗磬完成签到,获得积分10
12秒前
NexusExplorer应助搞怪不言采纳,获得10
13秒前
科研通AI5应助一天八杯水采纳,获得10
14秒前
14秒前
14秒前
15秒前
大模型应助琪琪扬扬采纳,获得10
16秒前
丘比特应助琪琪扬扬采纳,获得10
16秒前
共享精神应助琪琪扬扬采纳,获得10
16秒前
JamesPei应助dafwfwaf采纳,获得10
16秒前
叶子完成签到,获得积分10
16秒前
xuyun完成签到,获得积分10
16秒前
脑洞疼应助木棉采纳,获得10
16秒前
GGG发布了新的文献求助10
16秒前
zena92完成签到,获得积分10
17秒前
17秒前
听风发布了新的文献求助10
18秒前
一一发布了新的文献求助10
18秒前
CC完成签到,获得积分20
19秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527961
求助须知:如何正确求助?哪些是违规求助? 3108159
关于积分的说明 9287825
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716926
科研通“疑难数据库(出版商)”最低求助积分说明 709808