Investigating the Effects of Hyperbaric Oxygen Treatment in Necrotizing Soft Tissue Infection With Transcriptomics and Machine Learning (the HBOmic Study): Protocol for a Prospective Cohort Study With Data Validation

医学 重症监护室 前瞻性队列研究 重症监护医学 重症监护 队列 生物信息学 内科学 急诊医学 生物
作者
Julie Vinkel,Leonor Rib,Alfonso Buil,Morten Hedetoft,Ole Hyldegaard
出处
期刊:JMIR Research Protocols [JMIR Publications]
卷期号:11 (11): e39252-e39252 被引量:2
标识
DOI:10.2196/39252
摘要

Background Necrotizing soft tissue infections (NSTIs) are complex multifactorial diseases characterized by rapid bacterial proliferation and progressive tissue death. Treatment is multidisciplinary, including surgery, broad-spectrum antibiotics, and intensive care; adjunctive treatment with hyperbaric oxygen (HBO2) may also be applied. Recent advances in molecular technology and biological computation have given rise to new approaches to infectious diseases based on identifying target groups defined by activated pathophysiological mechanisms. Objective We aim to capture NSTI disease signatures and mechanisms and responses to treatment in patients that receive the highest standard of care; therefore, we set out to investigate genome-wide transcriptional responses to HBO2 treatment during NSTI in the host and bacteria. Methods The Effects of Hyperbaric Oxygen Treatment Studied with Omics (HBOmic) study is a prospective cohort study including 95 patients admitted for NSTI at the intensive care unit of Copenhagen University Hospital (Rigshospitalet), Denmark, between January 2013 and June 2017. All participants were treated according to a local protocol for management of NSTI, and biological samples were obtained and stored according to a standard operational procedure. In the proposed study, we will generate genome-wide expression profiles of whole-blood samples and samples of infected tissue taken before and after HBO2 treatment administered during the initial acute phase of infection, and we will analyze the profiles with unsupervised hierarchical clustering and machine learning. Differential gene expression will be compared in samples taken before and after HBO2 treatment (N=85), and integration of profiles from blood and tissue samples will be performed. Furthermore, findings will be compared to NSTI patients who did not receive HBO2 treatment (N=10). Transcriptomic data will be integrated with clinical data to investigate associations and predictors. Results The first participant was enrolled on July 27, 2021, and data analysis is expected to begin during autumn 2022, with publication of results immediately thereafter. Conclusions The HBOmic study will provide new insights into personalized patient management in NSTIs. Trial Registration ClinicalTrials.gov NCT01790698; https://clinicaltrials.gov/ct2/show/NCT01790698 International Registered Report Identifier (IRRID) DERR1-10.2196/39252
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
lgf发布了新的文献求助10
2秒前
Ander完成签到 ,获得积分0
3秒前
故剑情深1994完成签到,获得积分10
6秒前
wangbw完成签到,获得积分10
6秒前
ljhwahaha完成签到,获得积分10
8秒前
滕青寒完成签到,获得积分10
9秒前
Owen的应助被zzzz采纳,获得10
9秒前
FanZao完成签到,获得积分10
10秒前
蕉鲁诺蕉巴纳完成签到,获得积分0
10秒前
guopan完成签到,获得积分10
10秒前
austing完成签到,获得积分10
11秒前
研小通完成签到,获得积分10
11秒前
Liugz完成签到,获得积分10
11秒前
耍酷的熠彤完成签到,获得积分10
12秒前
热心不凡完成签到,获得积分10
13秒前
神勇映安完成签到,获得积分10
13秒前
大西瓜完成签到 ,获得积分10
18秒前
云遮月完成签到,获得积分10
19秒前
zzzz完成签到 ,获得积分10
19秒前
小马甲的应助被小舟采纳,获得10
19秒前
研友_LOqqmZ完成签到 ,获得积分10
21秒前
hkkogcu7449oi完成签到,获得积分10
21秒前
23秒前
zzzz完成签到,获得积分20
23秒前
lym完成签到,获得积分10
25秒前
一切都是最好的安排完成签到 ,获得积分10
26秒前
龙2024完成签到,获得积分10
26秒前
拓跋灭龙完成签到,获得积分10
26秒前
馨妈完成签到 ,获得积分10
26秒前
zzzz发布了新的文献求助10
27秒前
长情的寇完成签到 ,获得积分10
28秒前
Richard完成签到 ,获得积分10
28秒前
31秒前
肥而不腻的羚羊完成签到,获得积分10
31秒前
可爱的微笑完成签到 ,获得积分10
31秒前
heyseere完成签到,获得积分10
32秒前
Keyuuu30完成签到,获得积分0
33秒前
kxz完成签到 ,获得积分10
34秒前
赘婿的应助被Vae_RH采纳,获得10
34秒前
AFF完成签到,获得积分10
35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
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Stochastic Models in Operations Research,Vol. 2 600
Organizational Behavior 510
桑白皮エキスの実験的, 臨床的育毛効果について 500
Comprehensive Heterocyclic Chemistry IV 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8041776
求助须知:如何正确求助?哪些是违规求助? 9474942
关于积分的说明 21275002
捐赠科研通 7610342
什么是DOI,文献DOI怎么找? 3391485
关于科研通互助平台的介绍 2523023
邀请新用户注册赠送积分活动 2429303