Back to Authors

Jarjour, Nizar N.

https://orcid.org/0000-0003-0170-8927

Mayo Clinic

University of Wisconsin–Madison

Citations 15

Airway Transcriptomics Signature in Asthma Among Menopausal Women
Zein, Joe , Poonia, Seerat , DeMeo, Dawn L. , Shrivastav, A.K. , Erzurum, Serpil C. , Fahy, J.V., Gaston, B., Israel, E. , Jarjour, Nizar N. , Mauger, D. , Moore, Wendy C. , Ortega, Victor E. , Meyers, Deborah A. , Bleecker, Eugene R. , Fahy, John V. , Poonia, S., Hu, Bo , Shrivastav, A.K., Silveyra, Patricia , Attaway, Amy , Castro, Mario , Levy, Bruce David , Wenzel, Sally E.

American Journal of Respiratory and Critical Care Medicine | May 11, 2025 | Volume: 211 | Issue: Supplement_1 | Pages: A7061-A7061

10.1164/ajrccm.2025.211.abstracts.a7061 Get It

Abstract RATIONALE. Significant sex-differences exist in asthma across the lifespan. Asthma prevalence and severity are greater in pre-pubescent boys compared to girls but greater in women after puberty. In women, asthma may improve after menopause when sex hormones wane. To address potential mechanisms underlying these changes, we compared the airway transcriptomics signatures of post-menopausal vs. premenopausal women. METHODS. We used bulk RNA seq data from bronchial epithelial cells from three different cohorts (SARP III, GEO-GSE85567, GEO-GSE201955) to perform a comprehensive analysis of differential gene expression and regulation. Data were combined into a meta-analysis, to compare pre-menopausal (n=114 cases with asthma, 48 controls) to post-menopausal women (n=52 cases with asthma, 13 controls). Differential gene expression between pre- and postmenopausal women was analyzed separately for asthma (Figure 1A) and control groups (not shown). Significant differentially expressed genes (DEGs) were identified by contrasting effect sizes (log fold-changes) between asthma and control groups using a Z-score interaction test. Accordingly, a scatter plot (Figure 1B) was created to represent whether differential gene expression between pre- and post-menopausal conditions is modified by disease status (asthma vs. control). The scatter plot also highlights that these findings are related to asthma per. se. and not to normal aging and menopausal transition. Pathway enrichment analysis was conducted using the differential expression data, followed by differential regulation analysis of the identified pathways. Statistical significance was assessed using a false discovery rate (FDR) threshold of 5%. RESULTS. Out of 15,468 genes that passed quality control, 19 genes were differentially expressed in bronchial epithelial cells from pre- and post-menopausal women with asthma (as compared to controls) (Figure 1A). Of these, 5 genes were down-regulated (ITLN1, POSTN, FCRL3, CCL22, PCSK6), and 14 genes were up-regulated (SPP1, S100A9, A2ML1, TNFRSF10C, CSF3R, OLFM1, C1QL2, NLRP3, HAL, PI3, RNASE1, TMEM178B, TNNI3, RNF175) when comparing pre- and post-menopausal women with asthma (Figure 1A). Of these 19 DEGs, 14 were differentially expressed in pre- as compared to post-menopausal women with asthma, but not in controls (Figure 1B). Comparing pre- to post-menopausal women with asthma, biologic pathways related to the innate and adaptive immune system activation and mitochondrial function (Electron transport Chain oxidative phosphorylation and ATP production) were both differentially regulated and expressed. CONCLUSIONS. This analysis highlights several DEGs and pathways that characterize asthma pathogenesis when comparing pre- and post-menopausal women, and emphasize the role of female sex hormones on the immune system response and mitochondrial function in asthma pathogenesis.
Multicohort Analysis of Bronchial Epithelial Cell Expression in Healthy Subjects and Patients with Asthma Reveals Four Clinically Distinct Clusters
Lee, Ian , Ganesan, Ananthakrishnan , Kalesinskas, Laurynas , Zheng, Hong , Ahn, Haejun C., Christenson, S., Erzurum, Serpil C. , Zein, Joe , Bleecker, Eugene R., Meyers, Deborah A., Fahy, John V. , Israel, Elliot, Jarjour, Nizar N. , Moore, W., Mauger, David T. , Woodruff, Prescott G. , Ortega, Victor E. , Khatri, Purvesh , Zheng, Hong , Lee, Ian , Christenson, Stephanie A. , Castro, M , Wenzel, Sally E , Khatri, Purvesh , Lee, Ian Y , Christenson, Stephanie A , Lee, Ian , Meyers, Deborah A. , Castro, Mario , Israel, Elliot , Wenzel, Sally E. , Levy, Bruce David

American Journal of Respiratory Cell and Molecular Biology | December 19, 2024 | Volume: 73 | Issue: 1 | Pages: 73-87

10.1165/rcmb.2024-0125oc Get It

Abstract Asthma is a heterogeneous disease with variable presentation and characteristics. There is a critical need to identify underlying molecular endotypes of asthma. We performed the largest transcriptomic analysis of 808 bronchial epithelial cell samples across 11 independent cohorts, including 3 cohorts from the Severe Asthma Research Program. Using seven datasets (218 patients with asthma, 148 healthy control subjects) as discovery cohorts, we identified 505 differentially expressed genes, which we validated in the remaining four datasets. Unsupervised clustering using the 505 differentially expressed genes identified four reproducible clusters of patients with asthma across all datasets, corresponding to healthy control subjects, patients with mild/moderate asthma, and patients with severe asthma with significant differences in several clinical markers of severity, including pulmonary function, Type 2 inflammation, fractional exhaled nitric oxide, and maximum bronchodilator reversibility. Importantly, we found the same clusters in pediatric patients using nasal lavage fluid cells, demonstrating the gene signature and clusters are not confounded by age and are conserved in both lower and upper airways. The four asthma clusters may represent a unifying framework for understanding the molecular heterogeneity of asthma. Further study could potentially enable a precision medicine approach of matching therapies with patients with asthma most likely to benefit.
Asthma innovations from the second International Collaborative Asthma Network (ICAN) forum
Jarjour, Nizar N. , Winders, Tonya , Hansen, Ann M., Durrington, Hannah , Fowler, Stephen J. , Gaston, Benjamin , Mendonça, Eneida A. , Zein, Joe , Fahy, John V. , Mendonca, Eneida A , Akuthota, Praveen , Chung, Kian Fan , Siddiqui, Salman , Walker, Samantha M , Djukanović, Ratko

Journal of Asthma | September 11, 2024 | Volume: 62 | Issue: 2 | Pages: 185-188

10.1080/02770903.2024.2403011 Get It

Longitudinal Clinical Course of Participants With Asthma in Severe Asthma Research Program (SARP) Cohort
Phillips, Brenda R. , Gauthier, M., Israel, Elliot , Mauger, David T. , Ortega, Victor E. , Zein, Joe , Bleecker, Eugene R., Aronica, M.A., Comhair, Suzy , Denlinger, Loren C. , Erzurum, Serpil C. , Jarjour, Nizar N. , Moore, Wendy C. , Woodruff, Prescott G. , Sumino, Kaharu , Gauthier, M., Townsend, E.A., Castro, Mario , Fahy, John V. , Levy, Bruce David , Phipatanakul, Wanda , Wenzel, Sally E.

C102. CLINICAL AND TRANSLATIONAL ADVANCES IN ASTHMA | April 30, 2024 | Volume: No volume available | Issue: No issue available | Pages: A6697-A6697

10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a6697 Get It

Polymorphisms in Oxidative Stress-related Genes Modify Environmental Effects on Asthma Exacerbations
Xue, S. , Wang, J. , Meyers, Deborah A. , Bleecker, Eugene R., Ortega, Victor E. , Chung, K.F., Castro, M., Jarjour, Nizar N. , Erzurum, S.C., Israel, Elliot , Fahy, J.V., Moore, Wendy C. , Mauger, D. , Denlinger, Loren C. , Woodruff, Prescott G. , Xue, S., Li, Xinyu , Calhoun, William J. , Levy, Bruce David , Fahy, J.V., Wenzel, Sally E.

A25. 'OMICS AND THE EXPOSOME: HIGH DIMENSIONAL METHODS IN ENVIRONMENTAL LUNG HEALTH RESEARCH | May 1, 2023 | Volume: No volume available | Issue: No issue available | Pages: A1155-A1155

10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a1155 Get It

Risk Factors for Symptomatic SARS-CoV2 Infection, Severe COVID-19, and Vaccination Response in the Severe Asthma Research Program
Rusk, A.M., Fanous, J., Zein, Joe , Krishnaswamy, Akshaya, Bleecker, Eugene R. , Castro, M. , Denlinger, Loren C. , Erzurum, S.C., Fahy, Ruairi J., Israel, Elliot , Jarjour, Nizar N. , Mauger, D. , Moore, W.C., Meyers, Deborah A. , Woodruff, Prescott G. , Oelsner, E., Ortega, Victor E. , Phillips, Brett Eugene , Barr, R. Graham , Castro, M. , Levy, Bruce David , Wenzel, Sally E. , Oelsner, E.

D21. TRANSLATIONAL COVID-19 STUDIES | May 1, 2023 | Volume: No volume available | Issue: No issue available | Pages: A6286-A6286

10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a6286 Get It

DNA Sequencing Analysis of Cystic Fibrosis Transmembrane Regulator Gene Identifies Cystic Fibrosis-Associated Variants in the Severe Asthma Research Program
Izquierdo, Manuel, Marion, Chad R. , Moore, Wendy C. , Raraigh, Karen S. , Cutting, G., Ampleford, Elizabeth J., Hawkins, Gregory A., Castro, M., Denlinger, Loren C. , Erzurum, S.C., Fahy, J.V., Israel, Elliot , Jarjour, Nizar N. , Mauger, David, Woodruff, P., Bleecker, Eugene R. , Meyers, Deborah A. , Ortega, Victor E. , Castro, M. , Fahy, J.V., Levy, Bruce David , Wenzel, Sally E.

B60. ASTHMA AND ALLERGIC RESPONSES: CELLS, TISSUES, AND ANIMAL MODELS | May 2, 2022 | Volume: No volume available | Issue: No issue available | Pages: A3244-A3244

10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a3244 Get It

Multicohort Meta-Analysis of Bronchial Epithelial Cells Classifies Asthma from Healthy Subjects and Identifies Pathways in Asthma
Lee, Inkoo, Kalesinskas, Larry, Erzurum, S.C., Fahy, J.V., Moore, W.C., Denlinger, Loren C. , Castro, M., Israel, Elliot , Jarjour, Nizar N. , Meyers, Deborah A. , Bleecker, Eugene R. , Woodruff, P., Ortega, Victor E. , Ganesan, Ananthakrishnan , Fahy, J.V., Castro, M. , Wenzel, Sally E. , Levy, Bruce David , Khatri, Purvesh

B101. VARIED OMICS TECHNIQUES APPLIED TO ALLERGIC AND RESPIRATORY TRAITS | May 2, 2022 | Volume: No volume available | Issue: No issue available | Pages: A3472-A3472

10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a3472 Get It

DNA sequencing analysis of cystic fibrosis transmembrane conductance regulator gene identifies cystic fibrosis‐associated variants in the Severe Asthma Research Program
Izquierdo, Manuel, Marion, Chad R. , Moore, Wendy C. , Raraigh, Karen S. , Taylor‐Cousar, Jennifer L. , Cutting, Garry R. , Ampleford, E., Hawkins, Gregory A., Zein, Joe , Castro, Mario , Denlinger, Loren C. , Erzurum, Serpil C. , Fahy, John V. , Israel, Elliot , Jarjour, Nizar N. , Mauger, David, Wenzel, Sally E. , Woodruff, Prescott G. , Bleecker, Eugene R. , Meyers, Deborah A. , Ortega, Victor E. , Cutting, Gary R , Castro, M , Wenzel, Sally E , Levy, Bruce David , Wenzel, Sally E.

Pediatric Pulmonology | April 22, 2022 | Volume: 57 | Issue: 7 | Pages: 1782-1788

10.1002/ppul.25939 Get It

AbstractBackgroundHeterozygote carriers of potentially pathogenic variants in the cystic fibrosis transmembrane conductance regulator (CFTR) gene have increased asthma risk. However, the frequency and impact of CFTR variation among individuals with asthma is unknown.ObjectiveTo determine whether potentially pathogenic CFTR variants associate with disease severity and whether individuals with two potentially pathogenic variants exist in a severe asthma‐enriched cohort.MethodsWe analyzed sequencing data spanning a 190.5Kb region of CFTR in participants from the Severe Asthma Research Program (SARP1‐3). Potentially pathogenic, rare CFTR variants (frequency < 0.05) were classified as CF‐causing or of varying clinical consequences (VVCC) (CFTR2. org). Regression‐based models tested for association between CFTR genotypes (0‐2 potentially pathogenic variants) and severity outcomes.ResultsOf 1401 participants, 9.5% (134) had one potentially pathogenic variant, occurring more frequently in non‐Hispanic white (NHW, 10.1% [84 of 831]) compared to African American individuals (AA, 5.2% [22 of 426]). We found ≥2 potentially pathogenic CFTR variants in 1.4% (19); 0.5% (4) of NHW and 2.8% (12) of AA. Potentially pathogenic CFTR variant genotypes (≥1 or ≥2 variants) were not cumulatively associated with lung function or exacerbations. In NHW, we found three F508del compound heterozygotes with F508del and a VVCC (two 5 T; TG12[c.1210‐11 T > G] and one Arg1070Trp) and a homozygote for the VVCC, 5 T; TG12.ConclusionsWe found potentially pathogenic CFTR variants within a severe asthma‐enriched cohort, including three compound heterozygote genotypes variably associated with CF in NHW individuals. These findings provide the rationale for CFTR sequencing and phenotyping of CF‐related traits in individuals with severe asthma.
DNA Sequencing Analysis of Cystic Fibrosis Transmembrane Regulator Gene Identifies Cystic Fibrosis-Associated Variants in the Severe Asthma Research Program.
Izquierdo, Manuel, Marion, Chad R. , Moore, Wendy C. , Raraigh, Karen S. , L, Jennifer Taylor-Cousar, Cutting, Garry R. , Ampleford, Elizabeth J., Hawkins, Gregory A., Zein, Joe , Denlinger, Loren C. , Erzurum, Serpil C. , Israel, Elliot , Jarjour, Nizar N. , Mauger, David, Woodruff, Prescott G. , Bleecker, Eugene R. , Meyers, Deborah A. , Ortega, Victor E. , Cutting, Gary R , Taylor‐Cousar, Jennifer L. , Castro, Mario , Fahy, John V. , Levy, Bruce David , Wenzel, Sally E.

No container title available | April 19, 2022 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.22541/au.165037325.52611651/v1 Get It

Background: Heterozygote carriers of potentially pathogenic variants in the cystic fibrosis transmembrane conductance regulator ( CFTR ) gene have increased asthma risk. However, the frequency and impact of CFTR variation among individuals with asthma is unknown. Objective: To determine whether potentially pathogenic CFTR variants associate with disease severity and whether individuals with two potentially pathogenic variants exist in a severe asthma-enriched cohort . Methods : We analyzed sequencing data spanning a 190.5Kb region of CFTR in participants from the Severe Asthma Research Program (SARP1-3). Potentially pathogenic, rare CFTR variants (frequency<0.05) were classified as CF-causing or of varying clinical consequences (VVCC) (CFTR2.org). Regression-based models tested for association between CFTR genotypes (0-2 potentially pathogenic variants) and severity outcomes. Results: Of 1401 participants, 9.5% (134) had one potentially pathogenic variant, occurring more frequently in non-Hispanic white (NHW, 10.1% [84 of 831]) compared to African American individuals (AA, 5.2% [22 of 426]). We found ≥2 potentially pathogenic CFTR variants in 1.4% (19); 0.5% (4) of NHW and 2.8% (12) of AA. Potentially pathogenic CFTR variant genotypes (≥1 or ≥2 variants) were not cumulatively associated with lung function or exacerbations. In NHW, we found three F508del compound heterozygotes with F508del and a VVCC (two 5T;TG12[c.1210-11T>G] and one Arg1070Trp) and a homozygote for the VVCC, 5T;TG12. Conclusions: We found potentially pathogenic CFTR variants within a severe asthma-enriched cohort , including three compound heterozygote genotypes variably associated with CF in NHW individuals. These findings provide the rationale for CFTR sequencing and phenotyping of CF-related traits in individuals with severe asthma.