Browsing by Author "Castro, Mario"

Now showing 1 - 5 of 5
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    Genetic analyses identify GSDMB associated with asthma severity, exacerbations, and antiviral pathways
    (Elsevier, 2020) Li, Xingnan; Christenson, Stephanie A.; Modena, Brian; Li, Huashi; Busse, William W.; Castro, Mario; Denlinger, Loren C.; Erzurum, Serpil C.; Fahy, John V.; Gaston, Benjamin; Hastie, Annette T.; Israel, Elliot; Jarjour, Nizar N.; Levy, Bruce D.; Moore, Wendy C.; Woodruff, Prescott G.; Kaminski, Naftali; Wenzel, Sally E.; Bleecker, Eugene R.; Meyers, Deborah A.; Pediatrics, School of Medicine
    Background The Chr17q12-21.2 region is the strongest and most consistently associated region with asthma susceptibility. The functional genes or single nucleotide polymorphisms (SNPs) are not obvious due to linkage disequilibrium. Objectives We sought to comprehensively investigate whole-genome sequence and RNA sequence from human bronchial epithelial cells to dissect functional genes/SNPs for asthma severity in the Severe Asthma Research Program. Methods Expression quantitative trait loci analysis (n = 114), correlation analysis (n = 156) of gene expression and asthma phenotypes, and pathway analysis were performed in bronchial epithelial cells and replicated. Genetic association for asthma severity (426 severe vs 531 nonsevere asthma) and longitudinal asthma exacerbations (n = 273) was performed. Results Multiple SNPs in gasdermin B (GSDMB) associated with asthma severity (odds ratio, >1.25) and longitudinal asthma exacerbations (P < .05). Expression quantitative trait loci analyses identified multiple SNPs associated with expression levels of post-GPI attachment to proteins 3, GSDMB, or gasdermin A (3.1 × 10−9 < P < 1.8 × 10−4). Higher expression levels of GSDMB correlated with asthma and greater number of exacerbations (P < .05). Expression levels of GSDMB correlated with genes involved in IFN signaling, MHC class I antigen presentation, and immune system pathways (false-discovery rate–adjusted P < .05). rs1031458 and rs3902920 in GSDMB colocalized with IFN regulatory factor binding sites and associated with GSDMB expression, asthma severity, and asthma exacerbations (P < .05). Conclusions By using a unique set of gene expression data from lung cells obtained using bronchoscopy from comprehensively characterized subjects with asthma, we show that SNPs in GSDMB associated with asthma severity, exacerbations, and GSDMB expression levels. Furthermore, its expression levels correlated with asthma exacerbations and antiviral pathways. Thus, GSDMB is a functional gene for both asthma susceptibility and severity.
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    Geography, generalisability, and susceptibility in clinical trials
    (Elsevier, 2021) Clougherty, Jane E.; Kinnee, Ellen J.; Cardet, Juan Carlos; Mauger, David; Bacharier, Leonard; Beigelman, Avraham; Blake, Kathryn V.; Cabana, Michael D.; Castro, Mario; Chmiel, James F.; Covar, Ronina; Fitzpatrick, Anne; Gaffin, Jonathan M.; Gentile, Deborah; Israel, Elliot; Jackson, Daniel J.; Kraft, Monica; Krishnan, Jerry A.; Kumar, Harsha Vardhan; Lang, Jason E.; Lazarus, Stephen C.; Lemanske, Robert F.; Lima, John; Martinez, Fernando D.; Morgan, Wayne; Moy, James; Myers, Ross; Naureckas, Edward T.; Ortega, Victor E.; Peters, Stephen P.; Phipatanakul, Wanda; Pongracic, Jacqueline A; Ross, Kristie; Sheehan, William J.; Smith, Lewis J.; Solway, Julian; Sorkness, Christine A.; Wechsler, Michael E.; Wenzel, Sally; White, Steven R.; Holguin, Fernando; Pediatrics, School of Medicine
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    HSD3B1 genotype identifies glucocorticoid responsiveness in severe asthma
    (National Academy of Sciences, 2020-01-28) Zein, Joe; Gaston, Benjamin; Bazeley, Peter; DeBoer, Mark D.; Igo, Robert P., Jr; Bleecker, Eugene R.; Meyers, Deborah; Comhair, Suzy; Marozkina, Nadzeya V.; Cotton, Calvin; Patel, Mona; Alyamani, Mohammad; Xu, Weiling; Busse, William W.; Calhoun, William J.; Ortega, Victor; Hawkins, Gregory A.; Castro, Mario; Chung, Kian Fan; Fahy, John V.; Fitzpatrick, Anne M.; Israel, Elliot; Jarjour, Nizar N.; Levy, Bruce; Mauger, David T.; Moore, Wendy C.; Noel, Patricia; Peters, Stephen P.; Teague, W. Gerald; Wenzel, Sally E.; Erzurum, Serpil C.; Sharifi, Nima; Medicine, School of Medicine
    Asthma resistance to glucocorticoid treatment is a major health problem with unclear etiology. Glucocorticoids inhibit adrenal androgen production. However, androgens have potential benefits in asthma. HSD3B1 encodes for 3β-hydroxysteroid dehydrogenase-1 (3β-HSD1), which catalyzes peripheral conversion from adrenal dehydroepiandrosterone (DHEA) to potent androgens and has a germline missense-encoding polymorphism. The adrenal restrictive HSD3B1(1245A) allele limits conversion, whereas the adrenal permissive HSD3B1(1245C) allele increases DHEA metabolism to potent androgens. In the Severe Asthma Research Program (SARP) III cohort, we determined the association between DHEA-sulfate and percentage predicted forced expiratory volume in 1 s (FEV1PP). HSD3B1(1245) genotypes were assessed, and association between adrenal restrictive and adrenal permissive alleles and FEV1PP in patients with (GC) and without (noGC) daily oral glucocorticoid treatment was determined (n = 318). Validation was performed in a second cohort (SARP I&II; n = 184). DHEA-sulfate is associated with FEV1PP and is suppressed with GC treatment. GC patients homozygous for the adrenal restrictive genotype have lower FEV1PP compared with noGC patients (54.3% vs. 75.1%; P < 0.001). In patients with the homozygous adrenal permissive genotype, there was no FEV1PP difference in GC vs. noGC patients (73.4% vs. 78.9%; P = 0.39). Results were independently confirmed: FEV1PP for homozygous adrenal restrictive genotype in GC vs. noGC is 49.8 vs. 63.4 (P < 0.001), and for homozygous adrenal permissive genotype, it is 66.7 vs. 67.7 (P = 0.92). The adrenal restrictive HSD3B1(1245) genotype is associated with GC resistance. This effect appears to be driven by GC suppression of 3β-HSD1 substrate. Our results suggest opportunities for prediction of GC resistance and pharmacologic intervention.
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    PrecISE: Precision Medicine in Severe Asthma: An adaptive platform trial with biomarker ascertainment
    (Elsevier, 2021) Israel, Elliot; Denlinger, Loren C.; Bacharier, Leonard B.; LaVange, Lisa M.; Moore, Wendy C.; Peters, Michael C.; Georas, Steve N.; Wright, Rosalind J.; Mauger, David T.; Noel, Patricia; Akuthota, Praveen; Bach, Julia; Bleecker, Eugene R.; Cardet, Juan Carlos; Carr, Tara F.; Castro, Mario; Cinelli, Angeles; Comhair, Suzy A.A.; Covar, Ronina A.; Alexander, Laura Crotty; DiMango, Emily A.; Erzurum, Serpil C.; Fahy, John V.; Fajt, Merritt L.; Gaston, Benjamin M.; Hoffman, Eric A.; Holguin, Fernando; Jackson, Daniel J.; Jain, Sonia; Jarjour, Nizar N.; Ji, Yuan; Kenyon, Nicholas J.; Kosorok, Michael R.; Kraft, Monica; Krishnan, Jerry A.; Kumar, Rajesh; Liu, Andrew H.; Liu, Mark C.; Ly, Ngoc P.; Marquis, M. Alison; Martinez, Fernando D.; Moy, James N.; O’Neal, Wanda K.; Ortega, Victor E.; Peden, David B.; Phipatanakul, Wanda; Ross, Kristie; Smith, Lewis J.; Szefler, Stanley J.; Teague, W. Gerald; Tulchinsky, Abigail F.; Vijayanand, Pandurangan; Wechsler, Michael E.; Wenzel, Sally E.; White, Steven R.; Zeki, Amir A.; Ivanova, Anastasia; Pediatrics, School of Medicine
    Severe asthma accounts for almost half the cost associated with asthma. Severe asthma is driven by heterogeneous molecular mechanisms. Conventional clinical trial design often lacks the power and efficiency to target subgroups with specific pathobiological mechanisms. Furthermore, the validation and approval of new asthma therapies is a lengthy process. A large proportion of that time is taken by clinical trials to validate asthma interventions. The National Institutes of Health Precision Medicine in Severe and/or Exacerbation Prone Asthma (PrecISE) program was established with the goal of designing and executing a trial that uses adaptive design techniques to rapidly evaluate novel interventions in biomarker-defined subgroups of severe asthma, while seeking to refine these biomarker subgroups, and to identify early markers of response to therapy. The novel trial design is an adaptive platform trial conducted under a single master protocol that incorporates precision medicine components. Furthermore, it includes innovative applications of futility analysis, cross-over design with use of shared placebo groups, and early futility analysis to permit more rapid identification of effective interventions. The development and rationale behind the study design are described. The interventions chosen for the initial investigation and the criteria used to identify these interventions are enumerated. The biomarker-based adaptive design and analytic scheme are detailed as well as special considerations involved in the final trial design.
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    The Precision Interventions for Severe and/or Exacerbation-Prone (PrecISE) Asthma Network: an overview of Network organization, procedures and interventions
    (Elsevier, 2022-02) Georas, Steve N.; Wright, Rosalind J.; Ivanova, Anastasia; Israel, Elliot; LaVange, Lisa M.; Akuthota, Praveen; Carr, Tara F.; Denlinger, Loren C.; Fajt, Merritt L.; Kumar, Rajesh; O’Neal, Wanda K.; Phipatanakul, Wanda; Szefler, Stanley J.; Aronica, Mark A.; Bacharier, Leonard B.; Burbank, Allison J.; Castro, Mario; Alexander, Laura Crotty; Bamdad, Julie; Cardet, Juan Carlos; Comhair, Suzy A. A.; Covar, Ronina A.; DiMango, Emily A.; Erwin, Kim; Erzurum, Serpil C.; Fahy, John V.; Gaffin, Jonathan M.; Gaston, Benjamin; Gerald, Lynn B.; Hoffman, Eric A.; Holguin, Fernando; Jackson, Daniel J.; James, John; Jarjour, Nizar N.; Kenyon, Nicholas J.; Khatri, Sumita; Kirwan, John P.; Kraft, Monica; Krishnan, Jerry A.; Liu, Andrew H.; Liu, Mark C.; Marquis, M. Alison; Martinez, Fernando; Mey, Jacob; Moore, Wendy C.; Moy, James N.; Ortega, Victor E.; Peden, David B.; Pennington, Emily; Peters, Michael C.; Ross, Kristie; Sanchez, Maria; Smith, Lewis J.; Sorkness, Ronald L.; Wechsler, Michael E.; Wenzel, Sally E.; White, Steven R.; Zein, Joe; Zeki, Amir A.; Noel, Patricia; Pediatrics, School of Medicine
    Asthma is a heterogeneous disease, with multiple underlying inflammatory pathways and structural airway abnormalities that impact disease persistence and severity. Recent progress has been made in developing targeted asthma therapeutics, especially for subjects with eosinophilic asthma. However, there is an unmet need for new approaches to treat patients with severe and exacerbation prone asthma, who contribute disproportionately to disease burden. Extensive deep phenotyping has revealed the heterogeneous nature of severe asthma and identified distinct disease subtypes. A current challenge in the field is to translate new and emerging knowledge about different pathobiologic mechanisms in asthma into patient-specific therapies, with the ultimate goal of modifying the natural history of disease. Here we describe the Precision Interventions for Severe and/or Exacerbation Prone Asthma (PrecISE) Network, a groundbreaking collaborative effort of asthma researchers and biostatisticians from around the U.S. The PrecISE Network was designed to conduct phase II/proof of concept clinical trials of precision interventions in the severe asthma population, and is supported by the National Heart Lung and Blood Institute of the National Institutes of Health. Using an innovative adaptive platform trial design, the Network will evaluate up to six interventions simultaneously in biomarker-defined subgroups of subjects. We review the development and organizational structure of the Network, and choice of interventions being studied. We hope that the PrecISE Network will enhance our understanding of asthma subtypes and accelerate the development of therapeutics for of severe asthma.