Obesity and Asthma: Implementing a Treatable Trait Care Model

医学 哮喘 免疫学 肥胖 免疫系统 先天性淋巴细胞 疾病 2型糖尿病 体质指数 免疫失调 糖尿病 内科学 先天免疫系统 内分泌学
作者
Francisca Castro Mendes,Vanessa Garcia‐Larsen,André Moreira
出处
期刊:Clinical & Experimental Allergy [Wiley]
卷期号:54 (11): 881-894 被引量:3
标识
DOI:10.1111/cea.14520
摘要

Recognition of obesity as a treatable trait of asthma, impacting its development, clinical presentation and management, is gaining widespread acceptance. Obesity is a significant risk factor and disease modifier for asthma, complicating treatment. Epidemiological evidence highlights that obese asthma correlates with poorer disease control, increased severity and persistence, compromised lung function and reduced quality of life. Various mechanisms contribute to the physiological and clinical complexities observed in individuals with obesity and asthma. These encompass different immune responses, including Type IVb, where T helper 2 cells are pivotal and driven by cytokines like interleukins 4, 5, 9 and 13, and Type IVc, characterised by T helper 17 cells and Type 3 innate lymphoid cells producing interleukin 17, which recruits neutrophils. Additionally, Type V involves immune response dysregulation with significant activation of T helper 1, 2 and 17 responses. Finally, Type VI is recognised as metabolic-induced immune dysregulation associated with obesity. Body mass index (BMI) stands out as a biomarker of a treatable trait in asthma, readily identifiable and targetable, with significant implications for disease management. There exists a notable gap in treatment options for individuals with obese asthma, where asthma management guidelines lack specificity. For example, there is currently no evidence supporting the use of incretin mimetics to improve asthma outcomes in asthmatic individuals without Type 2 diabetes mellitus (T2DM). In this review, we advocate for integrating BMI into asthma care models by establishing clear target BMI goals, promoting sustainable weight loss via healthy dietary choices and physical activity and implementing regular reassessment and referral as necessary.
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
许七安完成签到,获得积分10
刚刚
安详的妙之完成签到,获得积分10
1秒前
wy给wy的求助进行了留言
1秒前
Vo1cano发布了新的文献求助10
2秒前
Lucas应助雨林连笛采纳,获得10
2秒前
3秒前
科研通AI6.2应助碧蓝广缘采纳,获得10
3秒前
3秒前
怡然以南发布了新的文献求助10
3秒前
一颗困困豆耶完成签到,获得积分10
3秒前
3秒前
波哥完成签到,获得积分10
4秒前
暖羊羊Y发布了新的文献求助10
4秒前
stelc发布了新的文献求助10
4秒前
4秒前
5秒前
Alav0314完成签到,获得积分10
5秒前
刘梦茹发布了新的文献求助10
5秒前
5秒前
6秒前
笑点低友安完成签到,获得积分10
6秒前
yy完成签到,获得积分10
6秒前
燕子发布了新的文献求助10
6秒前
谨慎的幻悲完成签到,获得积分10
6秒前
nong12123发布了新的文献求助10
6秒前
话语完成签到,获得积分10
6秒前
6秒前
猫露露完成签到 ,获得积分10
7秒前
2052669099应助科研通管家采纳,获得10
7秒前
orixero应助科研通管家采纳,获得10
7秒前
搜集达人应助科研通管家采纳,获得10
7秒前
赘婿应助体贴的鼠标采纳,获得10
7秒前
ding应助科研通管家采纳,获得10
7秒前
7秒前
cjy发布了新的文献求助10
7秒前
7秒前
充电宝应助科研通管家采纳,获得10
7秒前
8秒前
rocio应助科研通管家采纳,获得10
8秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6474607
求助须知:如何正确求助?哪些是违规求助? 8277366
关于积分的说明 17650343
捐赠科研通 5555341
什么是DOI,文献DOI怎么找? 2910042
邀请新用户注册赠送积分活动 1886788
关于科研通互助平台的介绍 1739458