UNICORN (Unified Cohorts Research Network): Disaggregating asthma
UNICORN(统一队列研究网络):分解哮喘
基本信息
- 批准号:MR/S025340/1
- 负责人:
- 金额:$ 309.46万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2020
- 资助国家:英国
- 起止时间:2020 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Asthma and allergies are the most common chronic diseases in childhood and adolescence. They usually start before school age and are responsible for a heavy burden of ill health, including premature death. It is increasingly recognised that asthma is an umbrella term covering several different diseases, which creates a barrier to delivering personalised treatments (i.e., treatments tailored to the individual patient). We propose an innovative scientific research program (UNICORN, Unified Cohorts Research Network), which embraces a team-science approach to understand heterogeneity of asthma and allergies. We have many ways of researching illnesses: (1) studies of children from their birth (birth cohorts); (2) studies of patients with severe disease; (3) randomised controlled trials (RCTs, where patients are allocated by chance to receive one of several treatments). We propose that we can begin to understand the variation seen in common diseases such as asthma and allergies if we look at all these together. This will help us to predict who will respond best to different treatments. Such a collaborative approach is currently prevented by the lack of a system to jointly manage and analyse the data from different studies. We will form an alliance between the STELAR consortium of 5 UK birth cohort studies aimed at studying asthma and allergic diseases (in total more than 15,000 participants who have been followed from before birth to adulthood) and clinical studies which recruited large numbers of patients with severe asthma (more than 1000). Our birth cohorts measured environmental exposures before the onset of the disease and contain detailed information on the development of asthma and allergies from early childhood to adulthood. In UNICORN, these will be supplemented by the information collected in studies of patients with severe asthma. These studies measure additional clinical markers (for example, more detailed lung function), and collect biological samples which are not available in birth cohorts (such as sputum, nasal secretions, and airway biopsies). These samples are needed to understand the mechanisms underlying different types of asthma. RCTs provide further important and accurate information about responses to treatment. Thus, birth cohorts, patient cohorts, and RCTs are complementary, and combining them by linking the data appropriately will provide invaluable insights into the mechanisms of different asthma subtypes, markers to predict future risk, and individual responses to treatment. UNICORN builds on substantial prior investments in the science and infrastructure underpinning asthma research. We will pull together and build upon several earlier investments in data management platforms and in tools that have been created to help data harmonisation and joint analysis. In Workstream 1, we will develop efficient software solutions to integrate, manage, harmonise and analyse different types of studies together. Combining detailed research observations in cohort studies, with less thorough, but more frequent, information from routine clinical records, holds huge potential. In Workstream 2, we will enrich detailed information collected from before birth to early adulthood in STELAR birth cohorts with data from primary care and hospital records. Our programme of work will create conditions that enable collaborative research. The shared digital environment will provide our team of scientists with tools to efficiently analyse existing and newly collected data and help interpretation of findings, and rapid implementation for patient benefit. In Workstream 3, we will use asthma as exemplar to develop and apply methods to jointly analyse data from different settings. Our findings will underpin new trials of asthma and allergy prevention and treatment, personalised for specific subtypes, and may help identify novel targets for the discovery of subtype-specific treatments required for personalised medicine.
Asthma and allergies are the most common chronic diseases in childhood and adolescence. They usually start before school age and are responsible for a heavy burden of ill health, including premature death. It is increasingly recognised that asthma is an umbrella term covering several different diseases, which creates a barrier to delivering personalised treatments (i.e., treatments tailored to the individual patient). We propose an innovative scientific research program (UNICORN, Unified Cohorts Research Network), which embraces a team-science approach to understand heterogeneity of asthma and allergies. We have many ways of researching illnesses: (1) studies of children from their birth (birth cohorts); (2) studies of patients with severe disease; (3) randomised controlled trials (RCTs, where patients are allocated by chance to receive one of several treatments). We propose that we can begin to understand the variation seen in common diseases such as asthma and allergies if we look at all these together. This will help us to predict who will respond best to different treatments. Such a collaborative approach is currently prevented by the lack of a system to jointly manage and analyse the data from different studies. We will form an alliance between the STELAR consortium of 5 UK birth cohort studies aimed at studying asthma and allergic diseases (in total more than 15,000 participants who have been followed from before birth to adulthood) and clinical studies which recruited large numbers of patients with severe asthma (more than 1000). Our birth cohorts measured environmental exposures before the onset of the disease and contain detailed information on the development of asthma and allergies from early childhood to adulthood. In UNICORN, these will be supplemented by the information collected in studies of patients with severe asthma. These studies measure additional clinical markers (for example, more detailed lung function), and collect biological samples which are not available in birth cohorts (such as sputum, nasal secretions, and airway biopsies). These samples are needed to understand the mechanisms underlying different types of asthma. RCTs provide further important and accurate information about responses to treatment. Thus, birth cohorts, patient cohorts, and RCTs are complementary, and combining them by linking the data appropriately will provide invaluable insights into the mechanisms of different asthma subtypes, markers to predict future risk, and individual responses to treatment. UNICORN builds on substantial prior investments in the science and infrastructure underpinning asthma research. We will pull together and build upon several earlier investments in data management platforms and in tools that have been created to help data harmonisation and joint analysis. In Workstream 1, we will develop efficient software solutions to integrate, manage, harmonise and analyse different types of studies together. Combining detailed research observations in cohort studies, with less thorough, but more frequent, information from routine clinical records, holds huge potential. In Workstream 2, we will enrich detailed information collected from before birth to early adulthood in STELAR birth cohorts with data from primary care and hospital records. Our programme of work will create conditions that enable collaborative research. The shared digital environment will provide our team of scientists with tools to efficiently analyse existing and newly collected data and help interpretation of findings, and rapid implementation for patient benefit. In Workstream 3, we will use asthma as exemplar to develop and apply methods to jointly analyse data from different settings. Our findings will underpin new trials of asthma and allergy prevention and treatment, personalised for specific subtypes, and may help identify novel targets for the discovery of subtype-specific treatments required for personalised medicine.
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Reply to Beck et al. and to Owora.
回复贝克等人。
- DOI:10.1164/rccm.202211-2130le
- 发表时间:2023
- 期刊:
- 影响因子:24.7
- 作者:Custovic A
- 通讯作者:Custovic A
Allergy Essentials
过敏必需品
- DOI:10.1016/b978-0-323-80912-2.00003-2
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Custovic A
- 通讯作者:Custovic A
Short-chain fatty acid acetate triggers antiviral response mediated by RIG-I in cells from infants with respiratory syncytial virus bronchiolitis.
- DOI:10.1016/j.ebiom.2022.103891
- 发表时间:2022-03
- 期刊:
- 影响因子:11.1
- 作者:Antunes KH;Stein RT;Franceschina C;da Silva EF;de Freitas DN;Silveira J;Mocellin M;Leitão L;Fachi JL;Pral LP;Gonzalez A;Oliveira S;Duarte L;Cassão G;Gonçalves JIB;Reis TM;Abbadi BL;Dornelles M;Sperotto NDM;Rigo M;Rodrigues H;Jones M;Epifanio M;Guima S;Setubal JC;Jorge TR;Mansur DS;Mayer FQ;Varela APM;Bizarro CV;Machado P;Basso LA;Polack FP;Custovic A;Vinolo MAR;de Souza APD
- 通讯作者:de Souza APD
Allergic Endotypes and Phenotypes of Asthma.
- DOI:10.1016/j.jaip.2019.11.008
- 发表时间:2020-02
- 期刊:
- 影响因子:0
- 作者:Akar-Ghibril N;Casale T;Custovic A;Phipatanakul W
- 通讯作者:Phipatanakul W
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Adnan Custovic其他文献
Attempting to control mite allergens with mechanical ventilation and dehumidification in British houses.
尝试通过英国房屋的机械通风和除湿来控制螨过敏原。
- DOI:
10.1016/s0091-6749(99)70416-1 - 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
Robert Mcl Niven;A. Fletcher;Anthony C Pickering;Adnan Custovic;Jack B. Sivour;Alan R. Preece;Lesley A. Oldham;Helen C. Francis - 通讯作者:
Helen C. Francis
Pediatric asthma comorbidities: Global impact and unmet needs
小儿哮喘合并症:全球影响与未满足的需求
- DOI:
10.1016/j.waojou.2024.100909 - 发表时间:
2024-05-01 - 期刊:
- 影响因子:4.300
- 作者:
Elham Hossny;Yuichi Adachi;Eleni Anastasiou;Héctor Badellino;Adnan Custovic;Rasha El-Owaidy;Zeinab A. El-Sayed;Ivana Filipovic;R. Maximiliano Gomez;Ömer Kalayci;Peter Le Souëf;Michael Miligkos;Mário Morais-Almeida;Antonio Nieto;Wanda Phipatanakul;Ghada Shousha;Alvaro Teijeiro;Jiu-Yao Wang;Gary W.K. Wong;Paraskevi Xepapadaki;Nikolaos G. Papadopoulos - 通讯作者:
Nikolaos G. Papadopoulos
Indoor allergen levels in homes of asthmatic and healthy children in kuwait
- DOI:
10.1016/s0091-6749(02)81237-4 - 发表时间:
2002-01-01 - 期刊:
- 影响因子:
- 作者:
Mahdi Al-Mousawwi;Hermione Lovel;Nasser Behbehani;Nermina Arifhodzick;Adnan Custovic;Ashley A. Woodcock - 通讯作者:
Ashley A. Woodcock
Component‐specific clusters for diagnosis and prediction of allergic airway diseases
用于诊断和预测过敏性气道疾病的特定成分簇
- DOI:
10.1111/cea.14468 - 发表时间:
2024 - 期刊:
- 影响因子:6.1
- 作者:
Rebecca Howard;S. Fontanella;A. Simpson;Clare S. Murray;Adnan Custovic;Magnus Rattray - 通讯作者:
Magnus Rattray
Allergen avoidance: does it work?
避免过敏原:有效吗?
- DOI:
- 发表时间:
2000 - 期刊:
- 影响因子:6.7
- 作者:
Ashley Woodcock;Adnan Custovic - 通讯作者:
Adnan Custovic
Adnan Custovic的其他文献
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{{ truncateString('Adnan Custovic', 18)}}的其他基金
Early Life Exposures And Development Of Non-communicable Diseases In Adolescence: The Drakenstein Child Health Study
青春期早期生命暴露和非传染性疾病的发展:德拉肯斯坦儿童健康研究
- 批准号:
MR/W028352/1 - 财政年份:2022
- 资助金额:
$ 309.46万 - 项目类别:
Research Grant
Endotypes of childhood wheezing after severe RSV lower respiratory tract illness in infancy in socially vulnerable Argentinian children
社会弱势阿根廷儿童婴儿期严重 RSV 下呼吸道疾病后儿童喘息的内型
- 批准号:
MR/T031565/1 - 财政年份:2020
- 资助金额:
$ 309.46万 - 项目类别:
Research Grant
Lung function trajectories from birth to school age in African children, and their early life determinants
非洲儿童从出生到学龄期的肺功能轨迹及其早期生命决定因素
- 批准号:
MR/S002359/1 - 财政年份:2018
- 资助金额:
$ 309.46万 - 项目类别:
Research Grant
MICA: STELAR (Study Team for Early Life Asthma Research) consortium - Asthma e-lab and identification of novel endotypes of childhood asthma
MICA:STELAR(早期哮喘研究研究小组)联盟 - 哮喘电子实验室和儿童哮喘新型内型的鉴定
- 批准号:
MR/K002449/2 - 财政年份:2015
- 资助金额:
$ 309.46万 - 项目类别:
Research Grant
MICA: STELAR (Study Team for Early Life Asthma Research) consortium - Asthma e-lab and identification of novel endotypes of childhood asthma
MICA:STELAR(早期哮喘研究研究小组)联盟 - 哮喘电子实验室和儿童哮喘新型内型的鉴定
- 批准号:
MR/K002449/1 - 财政年份:2013
- 资助金额:
$ 309.46万 - 项目类别:
Research Grant
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