Asthmatics with persistent symptoms are at great risk of developing fixed airways obstruction (AO). The overarching hypothesis of this proposal is that it is this subset of asthmatics that is at greatest risk of developing COPD and that this susceptibility is caused by specific genetic and epigenetic variants that influence the expression of key asthma- and COPD-susceptibility genes expressed in the bronchial epithelium (BE), including HHIP and FAM13A, TSLP and ORMDL3. We argue that characterization of these targets (and defining additional candidates) will facilitate the development of more directed therapies to counter the adverse effects of airway remodeling. To test these hypotheses, we propose three Specific Aims.
In Aim 1, we will characterize the mRNA and miRNA transcriptomic profiles in BE of the susceptible asthmatic in subjects from two well- characterized cohorts: (i) asthmatics from CAMP who exhibit normal lung growth vs. those with abnormal growth or early decline; (ii) asthmatics in COPDGene with normal lung function (GOLD 0) vs. abnormal lung function (GOLD II-III). RNA-seq expression profiles (n=175) will be generated using the Illumina Hi-Seq 2000. We hypothesize that asthmatics with reduced lung function decline, compared to those with preserved lung function, demonstrate a specific pattern of BE gene expression, including increased ORMDL3 and TSLP expression, and reduced HHIP and FAM13A expression. We will characterize the co-expression network influenced by these genes to define additional candidates that contribute to lung function decline.
In Aim 2, we will use an integrative genomics approach to map the genetic variants that influence the expression of key genes at the core of the asthma-COPD co-expression networks. These studies will be performed in the BE samples collected in Aim 1, and complemented by Asthma BRIDGE (n=1548) and ECLIPSE (n=200) cohorts, with available genomic data (genotype, expression, methylation). Identified regulatory variants will be tested for association as COPD-susceptibility loci in COPDGene (n=10,300), and as determinants of fixed AO in CAMP (n=968).
In Aim 3, we will characterize the functional consequences of dysregulation of the candidate genes in an air-liquid interface model. We will compare cellular responses to cigarette smoke among resistant and susceptible subjects (n=6 per group, 24 samples total) in air liquid interface using BE derived from subjects from the CAMP and COPDGene cohorts. We will compare these responses following shRNA-mediated knockdown of candidate genes (ORMDL3, TSLP, HHIP and FAM13A) and formally test whether these responses are similar in asthma and COPD. We speculate that in both the CAMP and COPDGene derived samples, we will see similar cellular responses in the susceptible subjects that are distinct from those in asthmatics with normal lung function, providing key insights in to the mechanisms by which these genes impact lung function.

Public Health Relevance

Asthmatics with persistent symptoms are at great risk of developing long-term impairments in lung function that lead to the development of COPD. Using a combination of genetic, genomic, and functional approaches, we propose to identify the genes and genetic variants that contribute to this serious complication.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
5P01HL132825-05
Application #
9982414
Study Section
Heart, Lung, and Blood Initial Review Group (HLBP)
Program Officer
Gan, Weiniu
Project Start
2016-09-01
Project End
2021-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
5
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Dehmamy, Nima; Milanlouei, Soodabeh; Barabási, Albert-László (2018) A structural transition in physical networks. Nature 563:676-680
Santolini, Marc; Barabási, Albert-László (2018) Predicting perturbation patterns from the topology of biological networks. Proc Natl Acad Sci U S A 115:E6375-E6383
Zhou, Xuezhong; Lei, Lei; Liu, Jun et al. (2018) A Systems Approach to Refine Disease Taxonomy by Integrating Phenotypic and Molecular Networks. EBioMedicine 31:79-91
Hecker, Julian; Xu, Xin; Townes, F William et al. (2018) Family-based tests for associating haplotypes with general phenotype data: Improving the FBAT-haplotype algorithm. Genet Epidemiol 42:123-126
Yun, Jeong H; Lamb, Andrew; Chase, Robert et al. (2018) Blood eosinophil count thresholds and exacerbations in patients with chronic obstructive pulmonary disease. J Allergy Clin Immunol 141:2037-2047.e10
Peng, Cheng; Cardenas, Andres; Rifas-Shiman, Sheryl L et al. (2018) Epigenome-wide association study of total serum immunoglobulin E in children: a life course approach. Clin Epigenetics 10:55
Morrow, Jarrett D; Cho, Michael H; Platig, John et al. (2018) Ensemble genomic analysis in human lung tissue identifies novel genes for chronic obstructive pulmonary disease. Hum Genomics 12:1
Li, Xuan; Fu, Yuejiao; Wang, Xiaogang et al. (2018) Detecting Differentially Variable MicroRNAs via Model-Based Clustering. Int J Genomics 2018:6591634
Hecker, Julian; Prokopenko, Dmitry; Lange, Christoph et al. (2018) PolyGEE: a generalized estimating equation approach to the efficient and robust estimation of polygenic effects in large-scale association studies. Biostatistics 19:295-306
Lopes-Ramos, Camila M; Kuijjer, Marieke L; Ogino, Shuji et al. (2018) Gene Regulatory Network Analysis Identifies Sex-Linked Differences in Colon Cancer Drug Metabolism. Cancer Res 78:5538-5547

Showing the most recent 10 out of 17 publications