Phenotypes in Pulmonary Hypertension

肺动脉高压 表型 医学 心脏病学 内科学 生物 遗传学 基因
作者
Jason Weatherald,Anna R. Hemnes,Bradley A. Maron,Lisa Mielniczuk,Christian Gerges,Laura Price,Marius M. Hoeper,Marc Humbert
出处
期刊:The European respiratory journal [European Respiratory Society]
卷期号:64 (3): 2301633-2301633 被引量:1
标识
DOI:10.1183/13993003.01633-2023
摘要

The clinical classification of pulmonary hypertension (PH) has guided diagnosis and treatment of patients with PH for several decades. Discoveries relating to underlying mechanisms, pathobiology and responses to treatments for PH have informed the evolution in this clinical classification to describe the heterogeneity in PH phenotypes. In more recent years, advances in imaging, computational science and multi-omic approaches have yielded new insights into potential phenotypes and sub-phenotypes within the existing clinical classification. Identification of novel phenotypes in pulmonary arterial hypertension (PAH) with unique molecular profiles, for example, could lead to new precision therapies. Recent phenotyping studies have also identified groups of patients with PAH that more closely resemble patients with left heart disease (group 2 PH) and lung disease (group 3 PH), which has important prognostic and therapeutic implications. Within group 2 and group 3 PH, novel phenotypes have emerged that reflect a persistent and severe pulmonary vasculopathy that is associated with worse prognosis but still distinct from PAH. In group 4 PH (chronic thromboembolic pulmonary disease) and sarcoidosis (group 5 PH), the current approach to patient phenotyping integrates clinical, haemodynamic and imaging characteristics to guide treatment but applications of multi-omic approaches to sub-phenotyping in these areas are sparse. The next iterations of the PH clinical classification are likely to reflect several emerging PH phenotypes and improve the next generation of prognostication tools and clinical trial design, and improve treatment selection in clinical practice.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
英姑应助Elaine采纳,获得10
1秒前
2秒前
3秒前
云之南发布了新的文献求助10
3秒前
清新的沛蓝完成签到,获得积分20
4秒前
eve完成签到,获得积分10
4秒前
5秒前
9秒前
10秒前
987654发布了新的文献求助10
10秒前
小小果妈发布了新的文献求助10
10秒前
个性白山完成签到,获得积分10
10秒前
11秒前
白昼の月完成签到 ,获得积分0
12秒前
背后广山发布了新的文献求助10
13秒前
14秒前
Jasper应助一心向雨采纳,获得10
14秒前
ononon发布了新的文献求助10
15秒前
17秒前
Nature发布了新的文献求助10
17秒前
17秒前
烂漫念文应助For采纳,获得10
17秒前
bkagyin应助JXY采纳,获得10
18秒前
李健的粉丝团团长应助DJ采纳,获得10
18秒前
19秒前
脑洞疼应助个性白山采纳,获得10
19秒前
larrry完成签到,获得积分20
20秒前
Draeck发布了新的文献求助10
22秒前
丘比特应助薛定谔的猫采纳,获得10
22秒前
kirirto发布了新的文献求助30
22秒前
圈儿完成签到,获得积分10
23秒前
在水一方应助Nature采纳,获得10
23秒前
小班完成签到,获得积分10
24秒前
24秒前
老板娘完成签到,获得积分10
25秒前
赘婿应助liuguohua126采纳,获得10
27秒前
27秒前
27秒前
27秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
The SAGE Handbook of Qualitative Research 800
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3135113
求助须知:如何正确求助?哪些是违规求助? 2786095
关于积分的说明 7775189
捐赠科研通 2441915
什么是DOI,文献DOI怎么找? 1298256
科研通“疑难数据库(出版商)”最低求助积分说明 625108
版权声明 600839