48 results on '"Liu, Andrew H."'
Search Results
2. The Precision Interventions for Severe and/or Exacerbation-Prone (PrecISE) Asthma Network: An overview of Network organization, procedures, and interventions
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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 AA, 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, Billheimer, Dean, Bleecker, Eugene R, Branch, Emily, Conway, Michelle, Daines, Cori, Deaton, Isaac, Evans, Alexandria, Field, Paige, Francisco, Dave, Hastie, Annette T, Hmieleski, Bob, Krings, Jeffrey O, Liu, Yanqin, Merchen, Janell L, Meyers, Deborah A, Narendran, Nirushan, Peters, Stephen P, Pippins, Anna, Rank, Matthew A, Schunk, Ronald, Skeps, Raymond, Wright, Benjamin, Banzon, Tina M, Bartnikas, Lisa M, Baxi, Sachin N, Betapudi, Vishwanath, Brick, Isabelle, Brockway, Conor, Casale, Thomas B, Castillo-Ruano, Kathleen, Cinelli, Maria Angeles, Crestani, Elena, Cunningham, Amparito, Day-Lewis, Megan, Diaz-Cabrera, Natalie, DiMango, Angela, Esty, Brittany, Fandozzi, Eva, Fernandez, Jesse, and Fitzpatrick, Elizabeth
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Biomedical and Clinical Sciences ,Clinical Sciences ,Clinical Research ,Lung ,Precision Medicine ,Asthma ,Clinical Trials and Supportive Activities ,Respiratory ,Good Health and Well Being ,Advisory Committees ,Biomarkers ,Clinical Protocols ,Clinical Trials ,Phase II as Topic ,Humans ,Research Design ,Severity of Illness Index ,Tomography ,X-Ray Computed ,Severe asthma ,precision medicine ,adaptive clinical trial design ,asthma exacerbation ,type 2 asthma ,non-type 2 asthma ,patient advisory committee ,biomarker ,PrecISE Study Team ,non–type 2 asthma ,Immunology ,Allergy - Abstract
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 United States. The PrecISE Network was designed to conduct phase II/proof-of-concept clinical trials of precision interventions in the population with severe asthma, 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 PrecISE Network will evaluate up to 6 interventions simultaneously in biomarker-defined subgroups of subjects. We review the development and organizational structure of the PrecISE 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 severe asthma.
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- 2022
3. PrecISE: Precision Medicine in Severe Asthma: An adaptive platform trial with biomarker ascertainment
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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 AA, 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, and Ivanova, Anastasia
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Biomedical and Clinical Sciences ,Immunology ,Clinical Research ,Biotechnology ,Lung ,Clinical Trials and Supportive Activities ,Asthma ,Respiratory ,Good Health and Well Being ,Biomarkers ,Humans ,Precision Medicine ,Randomized Controlled Trials as Topic ,Research Design ,Severe asthma ,therapy ,clinical trial ,biomarkers ,precision medicine ,adaptive design ,master protocol ,platform trial ,Allergy - Abstract
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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- 2021
4. Associations between outdoor air pollutants and non-viral asthma exacerbations and airway inflammatory responses in children and adolescents living in urban areas in the USA: a retrospective secondary analysis
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Altman, Matthew C, Kattan, Meyer, O'Connor, George T, Murphy, Ryan C, Whalen, Elizabeth, LeBeau, Petra, Calatroni, Agustin, Gill, Michelle A, Gruchalla, Rebecca S, Liu, Andrew H, Lovinsky-Desir, Stephanie, Pongracic, Jacqueline A, Kercsmar, Carolyn M, Khurana Hershey, Gurjit K, Zoratti, Edward M, Teach, Stephen J, Bacharier, Leonard B, Wheatley, Lisa M, Sigelman, Steve M, Gergen, Peter J, Togias, Alkis, Busse, William W, Gern, James E, and Jackson, Daniel J
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- 2023
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5. Airwave oscillometry to measure lung function in children with Down syndrome
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Vielkind, Monica L., Hamlington, Katharine L., Wolter-Warmerdam, Kristine, Meier, Maxene R., Liu, Andrew H., Hickey, Francis J., Brown, Mark A., and DeBoer, Emily M.
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- 2022
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6. Distinct nasal airway bacterial microbiotas differentially relate to exacerbation in pediatric patients with asthma
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McCauley, Kathryn, Durack, Juliana, Valladares, Ricardo, Fadrosh, Douglas W, Lin, Din L, Calatroni, Agustin, LeBeau, Petra K, Tran, Hoang T, Fujimura, Kei E, LaMere, Brandon, Merana, Geil, Lynch, Kole, Cohen, Robyn T, Pongracic, Jacqueline, Hershey, Gurjit K Khurana, Kercsmar, Carolyn M, Gill, Michelle, Liu, Andrew H, Kim, Haejin, Kattan, Meyer, Teach, Stephen J, Togias, Alkis, Boushey, Homer A, Gern, James E, Jackson, Daniel J, Lynch, Susan V, and Consortium, Institute of Allergy and Infectious Diseases–sponsored Inner-City Asthma
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Biomedical and Clinical Sciences ,Clinical Sciences ,Lung ,Asthma ,Clinical Research ,Pediatric ,Infectious Diseases ,2.1 Biological and endogenous factors ,Aetiology ,2.2 Factors relating to the physical environment ,Infection ,Respiratory ,A549 Cells ,Adolescent ,Cell Death ,Child ,Disease Progression ,Eosinophils ,Female ,Humans ,Infant ,Inflammation ,Male ,Microbiota ,Nasal Mucosa ,RNA ,Ribosomal ,16S ,Respiratory System ,Respiratory Tract Infections ,Moraxella species ,Staphylococcus species ,16S rRNA ,airway ,asthma ,exacerbation ,rhinovirus ,National Institute of Allergy and Infectious Diseases–sponsored Inner-City Asthma Consortium ,Immunology ,Allergy - Abstract
BackgroundIn infants, distinct nasopharyngeal bacterial microbiotas differentially associate with the incidence and severity of acute respiratory tract infection and childhood asthma development.ObjectiveWe hypothesized that distinct nasal airway microbiota structures also exist in children with asthma and relate to clinical outcomes.MethodsNasal secretion samples (n = 3122) collected after randomization during the fall season from children with asthma (6-17 years, n = 413) enrolled in a trial of omalizumab (anti-IgE) underwent 16S rRNA profiling. Statistical analyses with exacerbation as the primary outcome and rhinovirus infection and respiratory illnesses as secondary outcomes were performed. Using A549 epithelial cells, we assessed nasal isolates of Moraxella, Staphylococcus, and Corynebacterium species for their capacity to induce epithelial damage and inflammatory responses.ResultsSix nasal airway microbiota assemblages, each dominated by Moraxella, Staphylococcus, Corynebacterium, Streptococcus, Alloiococcus, or Haemophilus species, were observed. Moraxella and Staphylococcus species-dominated microbiotas were most frequently detected and exhibited temporal stability. Nasal microbiotas dominated by Moraxella species were associated with increased exacerbation risk and eosinophil activation. Staphylococcus or Corynebacterium species-dominated microbiotas were associated with reduced respiratory illness and exacerbation events, whereas Streptococcus species-dominated assemblages increased the risk of rhinovirus infection. Nasal microbiota composition remained relatively stable despite viral infection or exacerbation; only a few taxa belonging to the dominant genera exhibited relative abundance fluctuations during these events. In vitro, Moraxella catarrhalis induced significantly greater epithelial damage and inflammatory cytokine expression (IL-33 and IL-8) compared with other dominant nasal bacterial isolates tested.ConclusionDistinct nasal airway microbiotas of children with asthma relate to the likelihood of exacerbation, rhinovirus infection, and respiratory illnesses during the fall season.
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- 2019
7. Correction to: Dual RNA-seq reveals viral infections in asthmatic children without respiratory illness which are associated with changes in the airway transcriptome
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Wesolowska-Andersen, Agata, Everman, Jamie L, Davidson, Rebecca, Rios, Cydney, Herrin, Rachelle, Eng, Celeste, Janssen, William J, Liu, Andrew H, Oh, Sam S, Kumar, Rajesh, Fingerlin, Tasha E, Rodriguez-Santana, Jose, Burchard, Esteban G, and Seibold, Max A
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Biological Sciences ,Bioinformatics and Computational Biology ,Clinical Research ,Lung ,Genetics ,Environmental Sciences ,Information and Computing Sciences ,Bioinformatics - Abstract
In our recent article [1], it has come to our attention that the sample labels are not consistent between Table 1, the data labels deposited in the Sequence Read Archive, and Additional file 1: Table S2. We are therefore providing an updated Additional file 1: Table S2 so identical samples now have the same label.
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- 2018
8. African-specific alleles modify risk for asthma at the 17q12-q21 locus in African Americans
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Washington, III, Charles, Dapas, Matthew, Biddanda, Arjun, Magnaye, Kevin M., Aneas, Ivy, Helling, Britney A., Szczesny, Brooke, Boorgula, Meher Preethi, Taub, Margaret A., Kenny, Eimear, Mathias, Rasika A., Barnes, Kathleen C., Khurana Hershey, Gurjit K., Kercsmar, Carolyn M., Gereige, Jessica D., Makhija, Melanie, Gruchalla, Rebecca S., Gill, Michelle A., Liu, Andrew H., Rastogi, Deepa, Busse, William, Gergen, Peter J., Visness, Cynthia M., Gold, Diane R., Hartert, Tina, Johnson, Christine C., Lemanske, Jr., Robert F., Martinez, Fernando D., Miller, Rachel L., Ownby, Dennis, Seroogy, Christine M., Wright, Anne L., Zoratti, Edward M., Bacharier, Leonard B., Kattan, Meyer, O’Connor, George T., Wood, Robert A., Nobrega, Marcelo A., Altman, Matthew C., Jackson, Daniel J., Gern, James E., McKennan, Christopher G., and Ober, Carole
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- 2022
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9. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium
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Felix, Janine F, Joubert, Bonnie R, Baccarelli, Andrea A, Sharp, Gemma C, Almqvist, Catarina, Annesi-Maesano, Isabella, Arshad, Hasan, Baïz, Nour, Bakermans-Kranenburg, Marian J, Bakulski, Kelly M, Binder, Elisabeth B, Bouchard, Luigi, Breton, Carrie V, Brunekreef, Bert, Brunst, Kelly J, Burchard, Esteban G, Bustamante, Mariona, Chatzi, Leda, Munthe-Kaas, Monica Cheng, Corpeleijn, Eva, Czamara, Darina, Dabelea, Dana, Smith, George Davey, De Boever, Patrick, Duijts, Liesbeth, Dwyer, Terence, Eng, Celeste, Eskenazi, Brenda, Everson, Todd M, Falahi, Fahimeh, Fallin, M Daniele, Farchi, Sara, Fernandez, Mariana F, Gao, Lu, Gaunt, Tom R, Ghantous, Akram, Gillman, Matthew W, Gonseth, Semira, Grote, Veit, Gruzieva, Olena, Håberg, Siri E, Herceg, Zdenko, Hivert, Marie-France, Holland, Nina, Holloway, John W, Hoyo, Cathrine, Hu, Donglei, Huang, Rae-Chi, Huen, Karen, Järvelin, Marjo-Riitta, Jima, Dereje D, Just, Allan C, Karagas, Margaret R, Karlsson, Robert, Karmaus, Wilfried, Kechris, Katerina J, Kere, Juha, Kogevinas, Manolis, Koletzko, Berthold, Koppelman, Gerard H, Küpers, Leanne K, Ladd-Acosta, Christine, Lahti, Jari, Lambrechts, Nathalie, Langie, Sabine AS, Lie, Rolv T, Liu, Andrew H, Magnus, Maria C, Magnus, Per, Maguire, Rachel L, Marsit, Carmen J, McArdle, Wendy, Melén, Erik, Melton, Phillip, Murphy, Susan K, Nawrot, Tim S, Nisticò, Lorenza, Nohr, Ellen A, Nordlund, Björn, Nystad, Wenche, Oh, Sam S, Oken, Emily, Page, Christian M, Perron, Patrice, Pershagen, Göran, Pizzi, Costanza, Plusquin, Michelle, Raikkonen, Katri, Reese, Sarah E, Reischl, Eva, Richiardi, Lorenzo, Ring, Susan, Roy, Ritu P, Rzehak, Peter, Schoeters, Greet, Schwartz, David A, Sebert, Sylvain, Snieder, Harold, Sørensen, Thorkild IA, and Starling, Anne P
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Epidemiology ,Public Health ,Health Sciences ,Statistics ,Mathematical Sciences ,Child Health ,Cohort Studies ,DNA Methylation ,Environmental Pollution ,Epigenesis ,Genetic ,Female ,Folic Acid ,Humans ,Infant ,Newborn ,Maternal Exposure ,Maternal Health ,Pregnancy ,Prenatal Exposure Delayed Effects ,Public Health and Health Services ,Public health - Published
- 2018
10. Dual RNA-seq reveals viral infections in asthmatic children without respiratory illness which are associated with changes in the airway transcriptome
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Wesolowska-Andersen, Agata, Everman, Jamie L, Davidson, Rebecca, Rios, Cydney, Herrin, Rachelle, Eng, Celeste, Janssen, William J, Liu, Andrew H, Oh, Sam S, Kumar, Rajesh, Fingerlin, Tasha E, Rodriguez-Santana, Jose, Burchard, Esteban G, and Seibold, Max A
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Medical Microbiology ,Bioinformatics and Computational Biology ,Biomedical and Clinical Sciences ,Biological Sciences ,Infectious Diseases ,Vaccine Related ,Prevention ,Emerging Infectious Diseases ,Pediatric ,Biotechnology ,Lung ,Genetics ,Biodefense ,2.2 Factors relating to the physical environment ,2.1 Biological and endogenous factors ,Aetiology ,Respiratory ,Infection ,Inflammatory and immune system ,Good Health and Well Being ,Asthma ,Case-Control Studies ,Child ,Gene Expression Profiling ,Gene Expression Regulation ,Viral ,High-Throughput Nucleotide Sequencing ,Host-Pathogen Interactions ,Humans ,RNA Virus Infections ,RNA Viruses ,Respiratory Mucosa ,Respiratory Tract Infections ,Sequence Analysis ,RNA ,Transcriptome ,Asymptomatic ,Virus ,Airway epithelium ,RNA-seq ,Children ,Host response ,Host-virus interactions ,Environmental Sciences ,Information and Computing Sciences ,Bioinformatics - Abstract
BackgroundRespiratory illness caused by viral infection is associated with the development and exacerbation of childhood asthma. Little is known about the effects of respiratory viral infections in the absence of illness. Using quantitative PCR (qPCR) for common respiratory viruses and for two genes known to be highly upregulated in viral infections (CCL8/CXCL11), we screened 92 asthmatic and 69 healthy children without illness for respiratory virus infections.ResultsWe found 21 viral qPCR-positive and 2 suspected virus-infected subjects with high expression of CCL8/CXCL11. We applied a dual RNA-seq workflow to these subjects, together with 25 viral qPCR-negative subjects, to compare qPCR with sequencing-based virus detection and to generate the airway transcriptome for analysis. RNA-seq virus detection achieved 86% sensitivity when compared to qPCR-based screening. We detected additional respiratory viruses in the two CCL8/CXCL11-high subjects and in two of the qPCR-negative subjects. Viral read counts varied widely and were used to stratify subjects into Virus-High and Virus-Low groups. Examination of the host airway transcriptome found that the Virus-High group was characterized by immune cell airway infiltration, downregulation of cilia genes, and dampening of type 2 inflammation. Even the Virus-Low group was differentiated from the No-Virus group by 100 genes, some involved in eIF2 signaling.ConclusionsRespiratory virus infection without illness is not innocuous but may determine the airway function of these subjects by driving immune cell airway infiltration, cellular remodeling, and alteration of asthmogenic gene expression.
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- 2017
11. Public perceptions of synthetic cooling agents in electronic cigarettes on Twitter
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Liu, Andrew H., primary, Hootman, Julia, additional, Li, Dongmei, additional, and Xie, Zidian, additional
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- 2024
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12. Incidence and timing of offspring asthma, wheeze, allergic rhinitis, atopic dermatitis, and food allergy and association with maternal history of asthma and allergic rhinitis
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Venter, Carina, Palumbo, Michaela P., Sauder, Katherine A., Glueck, Deborah H., Liu, Andrew H., Yang, Ivana V., Ben-Abdallah, Miriam, Fleischer, David M., and Dabelea, Dana
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- 2021
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13. Dissecting childhood asthma with nasal transcriptomics distinguishes subphenotypes of disease
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Poole, Alex, Urbanek, Cydney, Eng, Celeste, Schageman, Jeoffrey, Jacobson, Sean, O'Connor, Brian P, Galanter, Joshua M, Gignoux, Christopher R, Roth, Lindsey A, Kumar, Rajesh, Lutz, Sharon, Liu, Andrew H, Fingerlin, Tasha E, Setterquist, Robert A, Burchard, Esteban G, Rodriguez-Santana, Jose, and Seibold, Max A
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Biomedical and Clinical Sciences ,Immunology ,Genetics ,Asthma ,Lung ,Clinical Research ,Aetiology ,2.1 Biological and endogenous factors ,Respiratory ,Adolescent ,Bronchi ,Female ,Gene Expression Profiling ,Genome-Wide Association Study ,Humans ,Interleukin-13 ,Male ,Nasal Mucosa ,Phenotype ,Th2 Cells ,Nasal airway epithelium ,transcriptome ,T(H)2 ,asthma ,bronchial airway epithelium ,Allergy - Abstract
BackgroundBronchial airway expression profiling has identified inflammatory subphenotypes of asthma, but the invasiveness of this technique has limited its application to childhood asthma.ObjectivesWe sought to determine whether the nasal transcriptome can proxy expression changes in the lung airway transcriptome in asthmatic patients. We also sought to determine whether the nasal transcriptome can distinguish subphenotypes of asthma.MethodsWhole-transcriptome RNA sequencing was performed on nasal airway brushings from 10 control subjects and 10 asthmatic subjects, which were compared with established bronchial and small-airway transcriptomes. Targeted RNA sequencing nasal expression analysis was used to profile 105 genes in 50 asthmatic subjects and 50 control subjects for differential expression and clustering analyses.ResultsWe found 90.2% overlap in expressed genes and strong correlation in gene expression (ρ = .87) between the nasal and bronchial transcriptomes. Previously observed asthmatic bronchial differential expression was strongly correlated with asthmatic nasal differential expression (ρ = 0.77, P = 5.6 × 10(-9)). Clustering analysis identified TH2-high and TH2-low subjects differentiated by expression of 70 genes, including IL13, IL5, periostin (POSTN), calcium-activated chloride channel regulator 1 (CLCA1), and serpin peptidase inhibitor, clade B (SERPINB2). TH2-high subjects were more likely to have atopy (odds ratio, 10.3; P = 3.5 × 10(-6)), atopic asthma (odds ratio, 32.6; P = 6.9 × 10(-7)), high blood eosinophil counts (odds ratio, 9.1; P = 2.6 × 10(-6)), and rhinitis (odds ratio, 8.3; P = 4.1 × 10(-6)) compared with TH2-low subjects. Nasal IL13 expression levels were 3.9-fold higher in asthmatic participants who experienced an asthma exacerbation in the past year (P = .01). Several differentially expressed nasal genes were specific to asthma and independent of atopic status.ConclusionNasal airway gene expression profiles largely recapitulate expression profiles in the lung airways. Nasal expression profiling can be used to identify subjects with IL13-driven asthma and a TH2-skewed systemic immune response.
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- 2014
14. Anionic Pulmonary Surfactant Lipid Treatment Inhibits Rhinovirus A Infection of the Human Airway Epithelium
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Numata, Mari, primary, Sajuthi, Satria, additional, Bochkov, Yury A., additional, Loeffler, Jessica, additional, Everman, Jamie, additional, Vladar, Eszter K., additional, Cooney, Riley A., additional, Reinhardt, Richard Lee, additional, Liu, Andrew H., additional, Seibold, Max A., additional, and Voelker, Dennis R., additional
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- 2023
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15. Multi-omic association study identifies DNA methylation-mediated genotype and smoking exposure effects on lung function in children living in urban settings
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Dapas, Matthew, primary, Thompson, Emma E., additional, Wentworth-Sheilds, William, additional, Clay, Selene, additional, Visness, Cynthia M., additional, Calatroni, Agustin, additional, Sordillo, Joanne E., additional, Gold, Diane R., additional, Wood, Robert A., additional, Makhija, Melanie, additional, Khurana Hershey, Gurjit K., additional, Sherenian, Michael G., additional, Gruchalla, Rebecca S., additional, Gill, Michelle A., additional, Liu, Andrew H., additional, Kim, Haejin, additional, Kattan, Meyer, additional, Bacharier, Leonard B., additional, Rastogi, Deepa, additional, Altman, Matthew C., additional, Busse, William W., additional, Becker, Patrice M., additional, Nicolae, Dan, additional, O’Connor, George T., additional, Gern, James E., additional, Jackson, Daniel J., additional, and Ober, Carole, additional
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- 2023
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16. A Pragmatic Primary Practice Approach to Using Specific IgE in Allergy Testing in Asthma Diagnosis, Management, and Referral
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Demoly,Pascal, Liu,Andrew H, Rodriguez del Rio,Pablo, Pedersen,Soren, Casale,Thomas B, and Price,David
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Journal of Asthma and Allergy - Abstract
Pascal Demoly,1,2 Andrew H Liu,3 Pablo Rodriguez del Rio,4 Soren Pedersen,5 Thomas B Casale,6,7 David Price8 1Division of Allergy, Department of Pulmonology, Hôpital Arnaud de Villeneuve, Montpellier, France; 2IDESP Inserm, University, Hospital of Montpellier, Montpellier, France; 3Airway Inflammation, Resilience & the Environment (AIRE) Program, Breathing Institute, Section of Pediatric Pulmonary & Sleep Medicine, Childrenâs Hospital Colorado, Professor of Pediatrics, University of Colorado School of Medicine, Adjunct Professor of Pediatrics, National Jewish Health, Denver, CO, USA; 4Pediatric Board of the EAACI, University Childrenâs Hospital, Madrid, Spain; 5GINA Program, Department of Pediatrics, Kolding Hospital, Kolding, Denmark; 6Food Allergy Research and Education (FARE), McLean, VA, USA; 7Department of Medicine and Pediatrics, University of South Florida, Tampa, FL, USA; 8Observational and Pragmatic Research Institute, SingaporeCorrespondence: David Price, Email dprice@opri.sgAbstract: Asthma afflicts an estimated 339 million people globally and is associated with ill health, disability, and early death. Strong risk factors for developing asthma are genetic predisposition and environmental exposure to inhaled substances that may provoke allergic reactions. Asthma guidelines recommend identifying causal or trigger allergens with specific IgE (sIgE) testing after a diagnosis of asthma has been made. Allergy testing with sIgE targets subpopulations of patients considered at high risk, such as those with frequent exacerbations, emergency visits or hospitalizations, or uncontrolled symptoms. Specific recommendations apply to preschool children, school-age children, patients with persistent or difficult-to-control asthma, patients needing oral corticosteroids or high-dose inhaled steroids, patients seeking understanding and guidance about their disease, and candidates for advanced therapies (biologics, allergen immunotherapy). Allergen skin testing is common in specialized settings but less available in primary care. Blood tests for total and sIgE are accessible and yield quantifiable results for tested allergens, useful for detecting sensitization. Results are interpreted in the context of the patientâs clinical presentation, age, and relevant allergen exposures. Incorporating sIgE testing into asthma management adds objective information to identify specific allergies and can guide personalized treatment plans, which reinforce patient-doctor communication. Test results can also be used to predict exacerbations and response to therapies. Additional diagnostic information can be gleaned from (i) eosinophil count ⥠300 μL, which significantly increases the odds of having exacerbations, and emerging eosinophil biomarkers (eg, eosinophil-derived neurotoxin), which can be measured in plasma or serum samples, and (ii) fractional exhaled nitric oxide (FeNO), with values ⥠25 ppb regarded as the cutoff for diagnosis, evaluating inhaled corticosteroid response, and of probable response to anti-IgE, anti-IL4 and anti-IL5 receptor biologics. Referral to asthma/allergy specialists is warranted when the initial diagnosis is uncertain, and when asthma symptoms, impairment, or exacerbations are repeated or severe.Keywords: primary care, allergy, asthma, sensitization, specific IgE, component resolved diagnostics
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- 2022
17. Lack of a relation between serum 25-hydroxyvitamin D concentrations and asthma in adolescents
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Gergen, Peter J, Teach, Stephen J, Mitchell, Herman E, Freishtat, Robert F, Calatroni, Agustin, Matsui, Elizabeth, Kattan, Meyer, Bloomberg, Gordon R, Liu, Andrew H, Kercsmar, Carolyn, O’Connor, George, Pongracic, Jacqueline, Rivera-Sanchez, Yadira, Morgan, Wayne J, Sorkness, Christine A, Binkley, Neil, and Busse, William
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- 2013
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18. Asthma and Allergy : Unravelling a Tangled Relationship with a Focus on New Biomarkers and Treatment
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Rodriguez del Rio, Pablo, Liu, Andrew H., Borres, Magnus P, Sodergren, Eva, Iachetti, Fabio, Casale, Thomas B., Rodriguez del Rio, Pablo, Liu, Andrew H., Borres, Magnus P, Sodergren, Eva, Iachetti, Fabio, and Casale, Thomas B.
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Asthma is a major driver of health care costs across ages. Despite widely disseminated asthma-treatment guidelines and a growing variety of effective therapeutic options, most patients still experience symptoms and/or refractoriness to standard of care treatments. As a result, most patients undergo a further intensification of therapy to optimize symptom control with a subsequent increased risk of side effects. Raising awareness about the relevance of evaluating aeroallergen sensitizations in asthmatic patients is a key step in better informing clinical practice while new molecular tools, such as the component resolved diagnosis, may be of help in refining the relationship between sensitization and therapeutic recommendations. In addition, patient care should benefit from reliable, easy-to-measure and clinically accessible biomarkers that are able to predict outcome and disease monitoring. To attain a personalized asthma management and to guide adequate treatment decisions, it is of paramount importance to expand clinicians' knowledge about the tangled relationship between asthma and allergy from a molecular perspective. Our review explores the relevance of allergen testing along the asthma patient's journey, with a special focus on recurrent wheezing children. Here, we also discuss the unresolved issues regarding currently available biomarkers and summarize the evidence supporting the eosinophil-derived neurotoxin as promising biomarker.
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- 2022
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19. Effects of Omalizumab on Rhinovirus Infections, Illnesses, and Exacerbations of Asthma
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Esquivel, Ann, Busse, William W., Calatroni, Agustin, Togias, Alkis G., Grindle, Kristine G., Bochkov, Yury A., Gruchalla, Rebecca S., Kattan, Meyer, Kercsmar, Carolyn M., Khurana Hershey, G., Kim, Haejin, Lebeau, Petra, Liu, Andrew H., Szefler, Stanley J., Teach, Stephen J., West, Joseph B., Wildfire, Jeremy, Pongracic, Jaqueline A., and Gern, James E.
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- 2017
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20. Gene Expression Profiling in Blood Provides Reproducible Molecular Insights into Asthma Control
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Croteau-Chonka, Damien C., Qiu, Weiliang, Martinez, Fernando D., Strunk, Robert C., Lemanske, Robert F., Jr., Liu, Andrew H., Gilliland, Frank D., Millstein, Joshua, Gauderman, James W., Ober, Carole, Krishnan, Jerry A., White, Steven R., Naureckas, Edward T., Nicolae, Dan L., Barnes, Kathleen C., London, Stephanie J., Barraza-Villarreal, Albino, Carey, Vincent J., Weiss, Scott T., and Raby, Benjamin A.
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- 2017
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- View/download PDF
21. Asthma and Allergy: Unravelling a Tangled Relationship with a Focus on New Biomarkers and Treatment
- Author
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Rodriguez del Rio, Pablo, primary, Liu, Andrew H., additional, Borres, Magnus P., additional, Södergren, Eva, additional, Iachetti, Fabio, additional, and Casale, Thomas B., additional
- Published
- 2022
- Full Text
- View/download PDF
22. Additional file 1 of African-specific alleles modify risk for asthma at the 17q12-q21 locus in African Americans
- Author
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Washington, Charles, Dapas, Matthew, Biddanda, Arjun, Magnaye, Kevin M., Aneas, Ivy, Helling, Britney A., Szczesny, Brooke, Boorgula, Meher Preethi, Taub, Margaret A., Kenny, Eimear, Mathias, Rasika A., Barnes, Kathleen C., Khurana Hershey, Gurjit K., Kercsmar, Carolyn M., Gereige, Jessica D., Makhija, Melanie, Gruchalla, Rebecca S., Gill, Michelle A., Liu, Andrew H., Rastogi, Deepa, Busse, William, Gergen, Peter J., Visness, Cynthia M., Gold, Diane R., Hartert, Tina, Johnson, Christine C., Lemanske, Robert F., Martinez, Fernando D., Miller, Rachel L., Ownby, Dennis, Seroogy, Christine M., Wright, Anne L., Zoratti, Edward M., Bacharier, Leonard B., Kattan, Meyer, O’Connor, George T., Wood, Robert A., Nobrega, Marcelo A., Altman, Matthew C., Jackson, Daniel J., Gern, James E., McKennan, Christopher G., and Ober, Carole
- Abstract
Additional file 1. Contains Supplementary Methods, Supplementary Tables (Table S1-10), and Supplementary Figures (Fig. S1-14), and corresponding references. Supplementary Methods. Descriptions of Populations. Building Consensus Sequences in the Critical Region. Table S1. Characteristics of the APIC and URECA Cohorts. Table S2. Predicted Haplotypes in CREW. Table S3. Haplotype Frequencies in Whole Genome Sequences. Table S4. Worldwide Frequencies of African-specific SNPs. Table S5. cis-eQTL Results for SNPs in or near GSDMA. Table S6. ENCODE Cell Lines and DNAse Clustering at pcHi-C Region. Table S7. pcHi-C Target Genes for African-specific Variants in Airway Epithelial Cells. Table S8. pcHi-C Target Genes for African-specific Variants in Airway Immune Cells. Table S9. Quantitative Trait Association Results in the APIC and URECA Cohorts. Table S10. African American Adult Asthmatics by Severity and Genotype. Figure S1. Overview of Study Design. Figure S2. ChromoPainter Analysis. Figure S3. ChromoPainter Visualization of Haplotype Breakpoints. Figure S4. ChromoPainter Display of the 17q12-q21 Region in Haplotype 4 Homozygotes. Figure S5. Ancestry PCA plots for APIC and URECA Children. Figure S6. eQTL Box Plots of rs28623237 Genotype and GSDMA Expression in CAAPA2. Figure S7. LD Plot of African-specific Variants and SNPs in or near GSDMA. Figure S8. eQTL Box Plots of rs113282230 Genotype and GSDMA Expression Conditioned on GSDMA SNPs. Figure S9. eQTL Violin Plots of rs235480 and rs1132828830 Genotypes on GSDMA and GSDMB Expression. Figure S10. LD Plot of the African-specific Variants and SNPs in the Core Region of The 17q12-q21 Locus. Figure S11. Chromatin Annotations in the Region Encoding the African-specific SNPs in ENCODE Cell Lines. Figure S12. eGenes for rs113282230 in Immune Cells. Figure S13. pcHi-C Data for rs113282230 in Immune Cells. Figure S14. Rs113282230 Genotype Effect on Asthma Prevalence by rs2305480 AA And GG Genotypes in APIC and URECA.
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- 2022
- Full Text
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23. Heterogeneity of magnitude, allergen immunodominance, and cytokine polarization of cockroach allergen‐specific T cell responses in allergic sensitized children
- Author
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Silva Antunes, Ricardo, primary, Sutherland, Aaron, additional, Frazier, April, additional, Schulten, Veronique, additional, Pomés, Anna, additional, Glesner, Jill, additional, Calatroni, Agustin, additional, Altman, Matthew C., additional, Wood, Robert A., additional, O'Connor, George T., additional, Pongracic, Jacqueline A., additional, Khurana Hershey, Gurjit K., additional, Kercsmar, Carolyn M., additional, Gruchalla, Rebecca S., additional, Gill, Michelle, additional, Liu, Andrew H., additional, Zoratti, Edward, additional, Kattan, Meyer, additional, Busse, Paula J., additional, Bacharier, Leonard B., additional, Teach, Stephen J., additional, Wheatley, Lisa M., additional, Togias, Alkis, additional, Busse, William W., additional, Jackson, Daniel J., additional, and Sette, Alessandro, additional
- Published
- 2021
- Full Text
- View/download PDF
24. Sequencing Heavy- and Light-Chain Variable Genes of Single B-Hybridoma Cells by Total Enzymatic Amplification
- Author
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Liu, Andrew H., Creadon, Geralyn, and Wysocki, Lawrence J.
- Published
- 1992
25. Airwave oscillometry to measure lung function in children with Down syndrome
- Author
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Vielkind, Monica L., primary, Hamlington, Katharine L., additional, Wolter-Warmerdam, Kristine, additional, Meier, Maxene R., additional, Liu, Andrew H., additional, Hickey, Francis J., additional, Brown, Mark A., additional, and DeBoer, Emily M., additional
- Published
- 2021
- Full Text
- View/download PDF
26. Indoor Pollutant Exposures Modify the Effect of Airborne Endotoxin on Asthma in Urban Children
- Author
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Matsui, Elizabeth C., Hansel, Nadia N., Aloe, Charles, Schiltz, Allison M., Peng, Roger D., Rabinovitch, Nathan, Ong, Mary Jane, Williams, DʼAnn L., Breysse, Patrick N., Diette, Gregory B., and Liu, Andrew H.
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- 2013
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27. Unraveling the ecology of risks for early childhood asthma among ethnically diverse families in the Southwest
- Author
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Klinnert, Mary D., Price, Marcella R., Liu, Andrew H., and Robinson, JoAnn L.
- Subjects
Asthma in children -- Risk factors ,Ethnic groups -- Health aspects ,Government ,Health care industry - Abstract
Objectives. We describe the prevalence of asthma risk factors within racial/ethnic and language groups of infants participating in an intervention study for reducing chronic asthma. Methods. Low-income children aged 9 to 24 months with 3 or more episodes of wheezing illness were enrolled. Baseline information included family and medical histories, allergic status, environmental exposures, emotional environment, and caregiver psychosocial resources. Results. Racial/ethnic and language groups--European Americans, African Americans, high-acculturated Hispanics, and low-acculturated Hispanics--showed different patterns of risk factors for childhood asthma, with low-acculturated Hispanics showing the most distinctive pattern. Conclusions. Patterns of covariation of biological and psychosocial risk factors for childhood asthma were associated with racial/ethnic and language status among urban, low-income children.
- Published
- 2002
28. Equivalent number of uniform stress cycles for soil liquefaction analysis
- Author
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Liu, Andrew H., Stewart, Jonathan P., Abrahamson, Norman A., and Moriwaki, Yoshi
- Subjects
Strains and stresses -- Analysis ,Soil liquefaction -- Analysis ,Earthquake engineering -- Analysis ,Earth sciences ,Engineering and manufacturing industries ,Science and technology - Abstract
The seismic demand on potentially liquefiable soils can be approximated by a series of uniform shear stress cycles. Procedures are reviewed for converting an arbitrary acceleration time history to a series of uniform cycles with amplitude = 0.65 of the peak. The number of cycles (N) at this amplitude is evaluated so as to represent a seismic demand for liquefaction triggering equivalent to that of the accelerogram. An assumed relationship between N and magnitude (m) underlies so-called magnitude scaling factors used to adjust the liquefaction resistance of soil for the effects of duration/magnitude. Scaling factors can alternatively be related directly to N, which enables the effects of factors other than m (for example, site-source distance r) to be quantified. We develop empirical models for N that are applicable to active tectonic regions and find a strong dependence on m and r and a weaker dependence on site condition and near-fault rupture directivity effects. The model for N is used to develop new scaling factors for soil liquefaction resistance that are distance-dependent and have a defined level of uncertainty.
- Published
- 2001
29. Characterization of Endotoxin and Mouse Allergen Exposures in Mouse Facilities and Research Laboratories
- Author
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Pacheco, Karin A., McCammon, Charles, Thorne, Peter S., OʼNeill, Marsha E., Liu, Andrew H., Martyny, John W., Vandyke, Michael, Newman, Lee S., and Rose, Cecile S.
- Published
- 2006
30. Heterogeneity of magnitude, allergen immunodominance, and cytokine polarization of cockroach allergen‐specific T cell responses in allergic sensitized children.
- Author
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da Silva Antunes, Ricardo, Sutherland, Aaron, Frazier, April, Schulten, Veronique, Pomés, Anna, Glesner, Jill, Calatroni, Agustin, Altman, Matthew C., Wood, Robert A., O'Connor, George T., Pongracic, Jacqueline A., Khurana Hershey, Gurjit K., Kercsmar, Carolyn M., Gruchalla, Rebecca S., Gill, Michelle, Liu, Andrew H., Zoratti, Edward, Kattan, Meyer, Busse, Paula J., and Bacharier, Leonard B.
- Subjects
MONONUCLEAR leukocytes ,REGULATORY T cells ,T cells ,IMMUNOGLOBULIN E ,CYTOKINES ,ALLERGENS ,COCKROACHES - Abstract
Background: Characterization of allergic responses to cockroach (CR), a common aeroallergen associated with asthma, has focused mainly on IgE reactivity, but little is known about T cell responses, particularly in children. We conducted a functional evaluation of CR allergen‐specific T cell reactivity in a cohort of CR allergic children with asthma. Methods: Peripheral blood mononuclear cells (PBMCs) were obtained from 71 children, with mild‐to‐moderate asthma who were enrolled in a CR immunotherapy (IT) clinical trial, prior to treatment initiation. PBMC were stimulated with peptide pools derived from 11 CR allergens, and CD4+ T cell responses assessed by intracellular cytokine staining. Results: Highly heterogeneous responses in T cell reactivity were observed among participants, both in terms of the magnitude of cytokine response and allergen immunodominance. Reactivity against Bla g 9 and Bla g 5 was most frequent. The phenotype of the T cell response was dominated by IL‐4 production and a Th2 polarized profile in 54.9% of participants, but IFNγ production and Th1 polarization was observed in 25.3% of the participants. The numbers of regulatory CD4+ T cells were also highly variable and the magnitude of effector responses and Th2 polarization were positively correlated with serum IgE levels specific to a clinical CR extract. Conclusions: Our results demonstrate that in children with mild‐to‐moderate asthma, CR‐specific T cell responses display a wide range of magnitude, allergen dominance, and polarization. These results will enable examination of whether any of the variables measured are affected by IT and/or are predictive of clinical outcomes. [ABSTRACT FROM AUTHOR]
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- 2021
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31. Airborne Endotoxin Predicts Symptoms in Non-Mouse-sensitized Technicians and Research Scientists Exposed to Laboratory Mice
- Author
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Pacheco, Karin A., McCammon, Charles, Liu, Andrew H., Thorne, Peter S., OʼNeill, Marsha E., Martyny, John, Newman, Lee S., Hamman, Richard F., and Rose, Cecile S.
- Published
- 2003
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32. The role of local CpG DNA methylation in mediating the 17q21 asthma-susceptibility GSDMB/ORMDL3 expression quantitative trait locus
- Author
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Kothari, Parul H., Qiu, Weiliang, Croteau-Chonka, Damien C., Martinez, Fernando D., Liu, Andrew H., Lemanske, Robert F., Ober, Carole, Krishnan, Jerry A., Nicolae, Dan L., Barnes, Kathleen C., London, Stephanie J., Barraza-Villarreal, Albino, White, Steven R., Naureckas, Edward T., Millstein, Joshua, Gauderman, W. James, Gilliland, Frank D., Carey, Vincent J., Weiss, Scott T., and Raby, Benjamin A.
- Subjects
Gene Expression Regulation ,Genotype ,Quantitative Trait Loci ,Humans ,Membrane Proteins ,CpG Islands ,Genetic Predisposition to Disease ,DNA Methylation ,Polymorphism, Single Nucleotide ,Article ,Asthma ,Chromosomes, Human, Pair 17 ,Neoplasm Proteins - Published
- 2018
33. Tracing the Development of Single Memory-Lineage B Cells in a Highly Defined Immune Response
- Author
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Liu, Andrew H., Jena, Prasanna K., and Wysocki, Larry J.
- Published
- 1996
34. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium
- Author
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dIRAS RA-2, One Health Chemisch, Felix, Janine F, Joubert, Bonnie R, Baccarelli, Andrea A, Sharp, Gemma C, Almqvist, Catarina, Annesi-Maesano, Isabella, Arshad, S. Hasan, Baïz, Nour, Bakermans-Kranenburg, Marian J., Bakulski, Kelly M, Binder, Elisabeth B, Bouchard, Luigi, Breton, Carrie V, Brunekreef, Bert, Brunst, Kelly J, Burchard, Esteban G., Bustamante, Mariona, Chatzi, Leda, Cheng Munthe-Kaas, Monica, Corpeleijn, Eva, Czamara, Darina, Dabelea, Dana, Davey Smith, George, De Boever, Patrick, Duijts, Liesbeth, Dwyer, Terence, Eng, Celeste, Eskenazi, Brenda, Everson, Todd M, Falahi, Fahimeh, Fallin, M Daniele, Farchi, Sara, Fernandez, Mariana F., Gao, Lu, Gaunt, Tom R, Ghantous, Akram, Gillman, Matthew W, Gonseth, Semira, Grote, Veit, Gruzieva, Olena, Håberg, Siri E, Herceg, Zdenko, Hivert, Marie-France, Holland, Nina, Holloway, John W, Hoyo, Cathrine, Hu, Donglei, Huang, Rae-Chi, Huen, Karen, Järvelin, Marjo-Riitta, Jima, Dereje D, Just, Allan C, Karagas, Margaret R, Karlsson, Robert, Karmaus, Wilfried, Kechris, Katerina J, Kere, Juha, Kogevinas, Manolis, Koletzko, Berthold, Koppelman, Gerard H, Küpers, Leanne K., Ladd-Acosta, Christine, Lahti, Jari, Lambrechts, Nathalie, Langie, Sabine A S, Lie, Rolv T, Liu, Andrew H, Magnus, Maria C, Magnus, Per, Maguire, Rachel L, Marsit, Carmen J, McArdle, Wendy, Melén, Erik, Melton, Phillip, Murphy, Susan K, Nawrot, Tim S, Nisticò, Lorenza, Nohr, Ellen A, Nordlund, Björn, Nystad, Wenche, Oh, Sam S, Oken, Emily, Page, Christian M, Perron, Patrice, Pershagen, Göran, Pizzi, Costanza, Plusquin, Michelle, Raikkonen, Katri, Reese, Sarah E, Reischl, Eva, Richiardi, Lorenzo, Ring, Susan M, Roy, Ritu P, Rzehak, Peter, Schoeters, Greet, Schwartz, David A, Sebert, Sylvain, Snieder, Harold, Sørensen, Thorkild I A, Starling, Anne P, Sunyer, Jordi, Taylor, Jack A, Tiemeier, Henning, Ullemar, Vilhelmina, Vafeiadi, Marina, van IJzendoorn, Marinus H, Vonk, Judith M, Vriens, Annette, Vrijheid, Martine, Wang, Pei, Wiemels, Joseph L, Wilcox, Allen J, Wright, Rosalind J, Xu, Cheng-Jian, Xu, Zongli, Yang, Ivana V, Yousefi, Paul, Zhang, Hongmei, Zhang, Weiming, Zhao, Shanshan, Agha, Golareh, Relton, Caroline L, Jaddoe, Vincent W V, London, Stephanie J, dIRAS RA-2, One Health Chemisch, Felix, Janine F, Joubert, Bonnie R, Baccarelli, Andrea A, Sharp, Gemma C, Almqvist, Catarina, Annesi-Maesano, Isabella, Arshad, S. Hasan, Baïz, Nour, Bakermans-Kranenburg, Marian J., Bakulski, Kelly M, Binder, Elisabeth B, Bouchard, Luigi, Breton, Carrie V, Brunekreef, Bert, Brunst, Kelly J, Burchard, Esteban G., Bustamante, Mariona, Chatzi, Leda, Cheng Munthe-Kaas, Monica, Corpeleijn, Eva, Czamara, Darina, Dabelea, Dana, Davey Smith, George, De Boever, Patrick, Duijts, Liesbeth, Dwyer, Terence, Eng, Celeste, Eskenazi, Brenda, Everson, Todd M, Falahi, Fahimeh, Fallin, M Daniele, Farchi, Sara, Fernandez, Mariana F., Gao, Lu, Gaunt, Tom R, Ghantous, Akram, Gillman, Matthew W, Gonseth, Semira, Grote, Veit, Gruzieva, Olena, Håberg, Siri E, Herceg, Zdenko, Hivert, Marie-France, Holland, Nina, Holloway, John W, Hoyo, Cathrine, Hu, Donglei, Huang, Rae-Chi, Huen, Karen, Järvelin, Marjo-Riitta, Jima, Dereje D, Just, Allan C, Karagas, Margaret R, Karlsson, Robert, Karmaus, Wilfried, Kechris, Katerina J, Kere, Juha, Kogevinas, Manolis, Koletzko, Berthold, Koppelman, Gerard H, Küpers, Leanne K., Ladd-Acosta, Christine, Lahti, Jari, Lambrechts, Nathalie, Langie, Sabine A S, Lie, Rolv T, Liu, Andrew H, Magnus, Maria C, Magnus, Per, Maguire, Rachel L, Marsit, Carmen J, McArdle, Wendy, Melén, Erik, Melton, Phillip, Murphy, Susan K, Nawrot, Tim S, Nisticò, Lorenza, Nohr, Ellen A, Nordlund, Björn, Nystad, Wenche, Oh, Sam S, Oken, Emily, Page, Christian M, Perron, Patrice, Pershagen, Göran, Pizzi, Costanza, Plusquin, Michelle, Raikkonen, Katri, Reese, Sarah E, Reischl, Eva, Richiardi, Lorenzo, Ring, Susan M, Roy, Ritu P, Rzehak, Peter, Schoeters, Greet, Schwartz, David A, Sebert, Sylvain, Snieder, Harold, Sørensen, Thorkild I A, Starling, Anne P, Sunyer, Jordi, Taylor, Jack A, Tiemeier, Henning, Ullemar, Vilhelmina, Vafeiadi, Marina, van IJzendoorn, Marinus H, Vonk, Judith M, Vriens, Annette, Vrijheid, Martine, Wang, Pei, Wiemels, Joseph L, Wilcox, Allen J, Wright, Rosalind J, Xu, Cheng-Jian, Xu, Zongli, Yang, Ivana V, Yousefi, Paul, Zhang, Hongmei, Zhang, Weiming, Zhao, Shanshan, Agha, Golareh, Relton, Caroline L, Jaddoe, Vincent W V, and London, Stephanie J
- Published
- 2018
35. Cohort Profile:Pregnancy And Childhood Epigenetics (PACE) Consortium
- Author
-
Felix, Janine F, Joubert, Bonnie R, Baccarelli, Andrea A, Sharp, Gemma C, Almqvist, Catarina, Annesi-Maesano, Isabella, Arshad, Hasan, Baïz, Nour, Bakermans-Kranenburg, Marian J, Bakulski, Kelly M, Binder, Elisabeth B, Bouchard, Luigi, Breton, Carrie V, Brunekreef, Bert, Brunst, Kelly J, Burchard, Esteban G, Bustamante, Mariona, Chatzi, Leda, Cheng Munthe-Kaas, Monica, Corpeleijn, Eva, Czamara, Darina, Dabelea, Dana, Davey Smith, George, De Boever, Patrick, Duijts, Liesbeth, Dwyer, Terence, Eng, Celeste, Eskenazi, Brenda, Everson, Todd M, Falahi, Fahimeh, Fallin, M Daniele, Farchi, Sara, Fernandez, Mariana F, Gao, Lu, Gaunt, Tom R, Ghantous, Akram, Gillman, Matthew W, Gonseth, Semira, Grote, Veit, Gruzieva, Olena, Håberg, Siri E, Herceg, Zdenko, Hivert, Marie-France, Holland, Nina, Holloway, John W, Hoyo, Cathrine, Hu, Donglei, Huang, Rae-Chi, Huen, Karen, Järvelin, Marjo-Riitta, Jima, Dereje D, Just, Allan C, Karagas, Margaret R, Karlsson, Robert, Karmaus, Wilfried, Kechris, Katerina J, Kere, Juha, Kogevinas, Manolis, Koletzko, Berthold, Koppelman, Gerard H, Küpers, Leanne K, Ladd-Acosta, Christine, Lahti, Jari, Lambrechts, Nathalie, Langie, Sabine A S, Lie, Rolv T, Liu, Andrew H, Magnus, Maria C, Magnus, Per, Maguire, Rachel L, Marsit, Carmen J, McArdle, Wendy, Melén, Erik, Melton, Phillip, Murphy, Susan K, Nawrot, Tim S, Nisticò, Lorenza, Nohr, Ellen A., Nordlund, Björn, Nystad, Wenche, Oh, Sam S, Oken, Emily, Page, Christian M, Perron, Patrice, Pershagen, Göran, Pizzi, Costanza, Plusquin, Michelle, Raikkonen, Katri, Reese, Sarah E, Reischl, Eva, Richiardi, Lorenzo, Ring, Susan, Roy, Ritu P, Rzehak, Peter, Schoeters, Greet, Schwartz, David A, Sebert, Sylvain, Snieder, Harold, Sørensen, Thorkild I A, Starling, Anne P, Sunyer, Jordi, Taylor, Jack A, Tiemeier, Henning, Ullemar, Vilhelmina, Vafeiadi, Marina, Van Ijzendoorn, Marinus H, Vonk, Judith M, Vriens, Annette, Vrijheid, Martine, Wang, Pei, Wiemels, Joseph L, Wilcox, Allen J, Wright, Rosalind J, Xu, Cheng-Jian, Xu, Zongli, Yang, Ivana V, Yousefi, Paul, Zhang, Hongmei, Zhang, Weiming, Zhao, Shanshan, Agha, Golareh, Relton, Caroline L, Jaddoe, Vincent W V, London, Stephanie J, Felix, Janine F, Joubert, Bonnie R, Baccarelli, Andrea A, Sharp, Gemma C, Almqvist, Catarina, Annesi-Maesano, Isabella, Arshad, Hasan, Baïz, Nour, Bakermans-Kranenburg, Marian J, Bakulski, Kelly M, Binder, Elisabeth B, Bouchard, Luigi, Breton, Carrie V, Brunekreef, Bert, Brunst, Kelly J, Burchard, Esteban G, Bustamante, Mariona, Chatzi, Leda, Cheng Munthe-Kaas, Monica, Corpeleijn, Eva, Czamara, Darina, Dabelea, Dana, Davey Smith, George, De Boever, Patrick, Duijts, Liesbeth, Dwyer, Terence, Eng, Celeste, Eskenazi, Brenda, Everson, Todd M, Falahi, Fahimeh, Fallin, M Daniele, Farchi, Sara, Fernandez, Mariana F, Gao, Lu, Gaunt, Tom R, Ghantous, Akram, Gillman, Matthew W, Gonseth, Semira, Grote, Veit, Gruzieva, Olena, Håberg, Siri E, Herceg, Zdenko, Hivert, Marie-France, Holland, Nina, Holloway, John W, Hoyo, Cathrine, Hu, Donglei, Huang, Rae-Chi, Huen, Karen, Järvelin, Marjo-Riitta, Jima, Dereje D, Just, Allan C, Karagas, Margaret R, Karlsson, Robert, Karmaus, Wilfried, Kechris, Katerina J, Kere, Juha, Kogevinas, Manolis, Koletzko, Berthold, Koppelman, Gerard H, Küpers, Leanne K, Ladd-Acosta, Christine, Lahti, Jari, Lambrechts, Nathalie, Langie, Sabine A S, Lie, Rolv T, Liu, Andrew H, Magnus, Maria C, Magnus, Per, Maguire, Rachel L, Marsit, Carmen J, McArdle, Wendy, Melén, Erik, Melton, Phillip, Murphy, Susan K, Nawrot, Tim S, Nisticò, Lorenza, Nohr, Ellen A., Nordlund, Björn, Nystad, Wenche, Oh, Sam S, Oken, Emily, Page, Christian M, Perron, Patrice, Pershagen, Göran, Pizzi, Costanza, Plusquin, Michelle, Raikkonen, Katri, Reese, Sarah E, Reischl, Eva, Richiardi, Lorenzo, Ring, Susan, Roy, Ritu P, Rzehak, Peter, Schoeters, Greet, Schwartz, David A, Sebert, Sylvain, Snieder, Harold, Sørensen, Thorkild I A, Starling, Anne P, Sunyer, Jordi, Taylor, Jack A, Tiemeier, Henning, Ullemar, Vilhelmina, Vafeiadi, Marina, Van Ijzendoorn, Marinus H, Vonk, Judith M, Vriens, Annette, Vrijheid, Martine, Wang, Pei, Wiemels, Joseph L, Wilcox, Allen J, Wright, Rosalind J, Xu, Cheng-Jian, Xu, Zongli, Yang, Ivana V, Yousefi, Paul, Zhang, Hongmei, Zhang, Weiming, Zhao, Shanshan, Agha, Golareh, Relton, Caroline L, Jaddoe, Vincent W V, and London, Stephanie J
- Published
- 2018
36. Gene Coexpression Networks in Whole Blood Implicate Multiple Interrelated Molecular Pathways in Obesity in People with Asthma
- Author
-
Croteau-Chonka, Damien C., primary, Chen, Zhanghua, additional, Barnes, Kathleen C., additional, Barraza-Villarreal, Albino, additional, Celedón, Juan C., additional, Gauderman, W. James, additional, Gilliland, Frank D., additional, Krishnan, Jerry A., additional, Liu, Andrew H., additional, London, Stephanie J., additional, Martinez, Fernando D., additional, Millstein, Joshua, additional, Naureckas, Edward T., additional, Nicolae, Dan L., additional, White, Steven R., additional, Ober, Carole, additional, Weiss, Scott T., additional, and Raby, Benjamin A., additional
- Published
- 2018
- Full Text
- View/download PDF
37. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium
- Author
-
Felix, Janine F, primary, Joubert, Bonnie R, additional, Baccarelli, Andrea A, additional, Sharp, Gemma C, additional, Almqvist, Catarina, additional, Annesi-Maesano, Isabella, additional, Arshad, Hasan, additional, Baïz, Nour, additional, Bakermans-Kranenburg, Marian J, additional, Bakulski, Kelly M, additional, Binder, Elisabeth B, additional, Bouchard, Luigi, additional, Breton, Carrie V, additional, Brunekreef, Bert, additional, Brunst, Kelly J, additional, Burchard, Esteban G, additional, Bustamante, Mariona, additional, Chatzi, Leda, additional, Cheng Munthe-Kaas, Monica, additional, Corpeleijn, Eva, additional, Czamara, Darina, additional, Dabelea, Dana, additional, Davey Smith, George, additional, De Boever, Patrick, additional, Duijts, Liesbeth, additional, Dwyer, Terence, additional, Eng, Celeste, additional, Eskenazi, Brenda, additional, Everson, Todd M, additional, Falahi, Fahimeh, additional, Fallin, M Daniele, additional, Farchi, Sara, additional, Fernandez, Mariana F, additional, Gao, Lu, additional, Gaunt, Tom R, additional, Ghantous, Akram, additional, Gillman, Matthew W, additional, Gonseth, Semira, additional, Grote, Veit, additional, Gruzieva, Olena, additional, Håberg, Siri E, additional, Herceg, Zdenko, additional, Hivert, Marie-France, additional, Holland, Nina, additional, Holloway, John W, additional, Hoyo, Cathrine, additional, Hu, Donglei, additional, Huang, Rae-Chi, additional, Huen, Karen, additional, Järvelin, Marjo-Riitta, additional, Jima, Dereje D, additional, Just, Allan C, additional, Karagas, Margaret R, additional, Karlsson, Robert, additional, Karmaus, Wilfried, additional, Kechris, Katerina J, additional, Kere, Juha, additional, Kogevinas, Manolis, additional, Koletzko, Berthold, additional, Koppelman, Gerard H, additional, Küpers, Leanne K, additional, Ladd-Acosta, Christine, additional, Lahti, Jari, additional, Lambrechts, Nathalie, additional, Langie, Sabine AS, additional, Lie, Rolv T, additional, Liu, Andrew H, additional, Magnus, Maria C, additional, Magnus, Per, additional, Maguire, Rachel L, additional, Marsit, Carmen J, additional, McArdle, Wendy, additional, Melén, Erik, additional, Melton, Phillip, additional, Murphy, Susan K, additional, Nawrot, Tim S, additional, Nisticò, Lorenza, additional, Nohr, Ellen A, additional, Nordlund, Björn, additional, Nystad, Wenche, additional, Oh, Sam S, additional, Oken, Emily, additional, Page, Christian M, additional, Perron, Patrice, additional, Pershagen, Göran, additional, Pizzi, Costanza, additional, Plusquin, Michelle, additional, Raikkonen, Katri, additional, Reese, Sarah E, additional, Reischl, Eva, additional, Richiardi, Lorenzo, additional, Ring, Susan, additional, Roy, Ritu P, additional, Rzehak, Peter, additional, Schoeters, Greet, additional, Schwartz, David A, additional, Sebert, Sylvain, additional, Snieder, Harold, additional, Sørensen, Thorkild IA, additional, Starling, Anne P, additional, Sunyer, Jordi, additional, Taylor, Jack A, additional, Tiemeier, Henning, additional, Ullemar, Vilhelmina, additional, Vafeiadi, Marina, additional, Van Ijzendoorn, Marinus H, additional, Vonk, Judith M, additional, Vriens, Annette, additional, Vrijheid, Martine, additional, Wang, Pei, additional, Wiemels, Joseph L, additional, Wilcox, Allen J, additional, Wright, Rosalind J, additional, Xu, Cheng-Jian, additional, Xu, Zongli, additional, Yang, Ivana V, additional, Yousefi, Paul, additional, Zhang, Hongmei, additional, Zhang, Weiming, additional, Zhao, Shanshan, additional, Agha, Golareh, additional, Relton, Caroline L, additional, Jaddoe, Vincent WV, additional, and London, Stephanie J, additional
- Published
- 2017
- Full Text
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38. Expression Quantitative Trait Loci Information Improves Predictive Modeling of Disease Relevance of Non-Coding Genetic Variation
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Croteau-Chonka, Damien C., primary, Rogers, Angela J., additional, Raj, Towfique, additional, McGeachie, Michael J., additional, Qiu, Weiliang, additional, Ziniti, John P., additional, Stubbs, Benjamin J., additional, Liang, Liming, additional, Martinez, Fernando D., additional, Strunk, Robert C., additional, Lemanske, Robert F., additional, Liu, Andrew H., additional, Stranger, Barbara E., additional, Carey, Vincent J., additional, and Raby, Benjamin A., additional
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- 2015
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39. Immunologic Features of Infants with Milk or Egg Allergy Enrolled in an Observational Study (CoFAR) of Food Allergy
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Sicherer, Scott H., Wood, Robert A., Stablein, Donald, Burks, A. Wesley, Liu, Andrew H., Jones, Stacie M., Fleischer, David M., Leung, Donald YM, Grishin, Alexander, Mayer, Lloyd, Shreffler, Wayne, Lindblad, Robert, and Sampson, Hugh A.
- Subjects
Male ,Arachis ,Infant ,Allergens ,Immunoglobulin E ,Article ,Dermatitis, Atopic ,Risk Factors ,Leukocytes, Mononuclear ,Humans ,Female ,Peanut Hypersensitivity ,Interleukin-4 ,Milk Hypersensitivity ,Egg Hypersensitivity ,Skin Tests - Abstract
Immune features of infants with food allergy have not been delineated.We sought to explore the basic mechanisms responsible for food allergy and identify biomarkers, such as skin prick test (SPT) responses, food-specific IgE levels, and mononuclear cell responses, in a cohort of infants with likely milk/egg allergy at increased risk of peanut allergy.Infants aged 3 to 15 months were enrolled with a positive SPT response to milk or egg and either a corresponding convincing clinical history of allergy to milk or egg or moderate-to-severe atopic dermatitis. Infants with known peanut allergy were excluded.Overall, 512 infants (67% male) were studied, with 308 (60%) having a history of a clinical reaction. Skin test responses, detectable food-specific IgE, or both revealed sensitization as follows: milk, 78%; egg, 89%; and peanut, 69%. SPT responses and food-specific IgE levels were discrepant for peanut (15% for IgEor = 0.35 kU(A)/L and negative SPT response vs 8% for positive SPT response and IgE0.35 kU(A)/L, P = .001). Mononuclear cell allergen stimulation screening for CD25, cytokine-inducible SH2-containing protein (CISH), forkhead box protein 3 (FOXP3), GATA3, IL10, IL4, IFNG, and T-box transcription factor (TBET) expression by using casein, egg white, and peanut revealed that only allergen-induced IL4 expression was significantly increased in those with clinical allergy to milk (compared with nonallergic subjects) and in those sensitized to peanut, despite the absence of an increase in GATA3 mRNA expression.Infants with likely milk/egg allergy are at considerably high risk of having increased peanut-specific IgE levels (potential allergy). Peanut-specific serum IgE levels were a more sensitive indicator of sensitization than SPT responses. Allergen-specific IL4 expression might be a marker of allergic risk. Absence of an increase in GATA3 mRNA expression suggests that allergen-specific IL-4 might not be of T-cell origin.
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- 2010
40. The metabolomics of asthma control: a promising link between genetics and disease
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McGeachie, Michael J., primary, Dahlin, Amber, additional, Qiu, Weiliang, additional, Croteau‐Chonka, Damien C., additional, Savage, Jessica, additional, Wu, Ann Chen, additional, Wan, Emily S., additional, Sordillo, Joanne E., additional, Al‐Garawi, Amal, additional, Martinez, Fernando D., additional, Strunk, Robert C., additional, Lemanske, Robert F., additional, Liu, Andrew H., additional, Raby, Benjamin A., additional, Weiss, Scott, additional, Clish, Clary B., additional, and Lasky‐Su, Jessica A., additional
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- 2015
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41. The Chinese Visible Human (CVH) datasets incorporate technical and imaging advances on earlier digital humans.
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Shao-Xiang Zhang, Pheng-Ann Heng, Zheng-Jin Liu, Li-Wen Tan, Ming-Guo Qiu, Qi-Yu Li, Andrew H., Rong-Xia Liao, Andrew H., Kai Li, Gao-Yu Chi, Andrew H., Yan-Li Guo, Andrew H., Xiao-Ping Yang, Guang-Jiu Liu, Andrew H., Jing-Lu Shan, Andrew H., Ji-Jun Liu, Andrew H., Wei-Guo Zhang, Andrew H., Xian-Hong Chen, Jin-Hua Chen, Andrew H., Jian Wang, and Wei Chan
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IMAGING systems ,ANATOMY ,DEAD ,EMBALMING ,CHINESE people ,MAGNETIC resonance imaging - Abstract
We report the availability of a digitized Chinese male and a digitzed Chinese female typical of the population and with no obvious abnormalities. The embalming and milling procedures incorporate three technical improvements over earlier digitized cadavers. Vascular perfusion with coloured gelatin was performed to facilitate blood vessel identification. Embalmed cadavers were embedded in gelatin and cryosectioned whole so as to avoid section loss resulting from cutting the body into smaller pieces. Milling performed at −25 °C prevented small structures (e.g. teeth, concha nasalis and articular cartilage) from falling off from the milling surface. The male image set (.tiff images each of 36 Mb) has a section resolution of 3072 × 2048 pixels (∼170 µm, the accompanying magnetic resonance imaging and computer tomography data have a resolution of 512 × 512, i.e. ∼440 µm). The Chinese Visible Human male and female datasets are available at . (The male is 90.65 Gb and female 131.04 Gb). MPEG videos of direct records of real-time volume rendering are at: [ABSTRACT FROM AUTHOR]
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- 2004
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42. Correction: Sequencing Heavy- and Light-Chain Variable Genes of Single B- Hybridoma Cells by Total Enzymatic Amplification
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Liu, Andrew H., Creadon, Geralyn, and Wysocki, Lawrence J.
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- 1992
43. Respiratory Care Training for Safety-Net Primary Care Practices.
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Bender, Bruce G., Dingae, Meg B., Fending, Deborah, Liu, Andrew H., and Make, Barry
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Background and Objectives: Programs designed to enhance the diagnosis and management of asthma and chronic obstructive pulmonary disease (COPD) in primary care settings have had variable success and have not been broadly implemented. The Respiratory Toolkit was created to bridge this gap.Methods: The 2-year program providing primary care training in both asthma and COPD was conducted in an urban federally qualified health center with 13 clinics and 87 staff. The program included interactive training with multidisciplinary teams, in-clinic follow-up trainings, electronic medical record (EMR) tools, and patient-centered educational resources.Results: For asthma patients, use of spirometry increased from 7% of visits before to 43% after training, severity assessment from 13% to 29%, asthma action plans from 2% to 8%, and prescription of inhaled corticosteroids from 33% to 42%. For COPD patients, spirometry use increased from 21% to 35% of visits, and long-acting beta2-agonists from 19% to 26%. Among undiagnosed smokers, use of the COPD screener increased from 0 to 11% of visits, of spirometry from 4% to 36%, and of advice to quit from 74% to 79%.Conclusions: The Respiratory Toolkit produced significant changes in guideline-based care for patients with asthma or COPD; however, time constraints and other barriers prevented full adoption. [ABSTRACT FROM AUTHOR]- Published
- 2015
44. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium
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Felix, Janine F, Joubert, Bonnie R, Baccarelli, Andrea A, Sharp, Gemma C, Almqvist, Catarina, Annesi-Maesano, Isabella, Arshad, Hasan, Baïz, Nour, Bakermans-Kranenburg, Marian J, Bakulski, Kelly M, Binder, Elisabeth B, Bouchard, Luigi, Breton, Carrie V, Brunekreef, Bert, Brunst, Kelly J, Burchard, Esteban G, Bustamante, Mariona, Chatzi, Leda, Cheng Munthe-Kaas, Monica, Corpeleijn, Eva, Czamara, Darina, Dabelea, Dana, Davey Smith, George, De Boever, Patrick, Duijts, Liesbeth, Dwyer, Terence, Eng, Celeste, Eskenazi, Brenda, Everson, Todd M, Falahi, Fahimeh, Fallin, M Daniele, Farchi, Sara, Fernandez, Mariana F, Gao, Lu, Gaunt, Tom R, Ghantous, Akram, Gillman, Matthew W, Gonseth, Semira, Grote, Veit, Gruzieva, Olena, Håberg, Siri E, Herceg, Zdenko, Hivert, Marie-France, Holland, Nina, Holloway, John W, Hoyo, Cathrine, Hu, Donglei, Huang, Rae-Chi, Huen, Karen, Järvelin, Marjo-Riitta, Jima, Dereje D, Just, Allan C, Karagas, Margaret R, Karlsson, Robert, Karmaus, Wilfried, Kechris, Katerina J, Kere, Juha, Kogevinas, Manolis, Koletzko, Berthold, Koppelman, Gerard H, Küpers, Leanne K, Ladd-Acosta, Christine, Lahti, Jari, Lambrechts, Nathalie, Langie, Sabine AS, Lie, Rolv T, Liu, Andrew H, Magnus, Maria C, Magnus, Per, Maguire, Rachel L, Marsit, Carmen J, McArdle, Wendy, Melén, Erik, Melton, Phillip, Murphy, Susan K, Nawrot, Tim S, Nisticò, Lorenza, Nohr, Ellen A, Nordlund, Björn, Nystad, Wenche, Oh, Sam S, Oken, Emily, Page, Christian M, Perron, Patrice, Pershagen, Göran, Pizzi, Costanza, Plusquin, Michelle, Raikkonen, Katri, Reese, Sarah E, Reischl, Eva, Richiardi, Lorenzo, Ring, Susan, Roy, Ritu P, Rzehak, Peter, Schoeters, Greet, Schwartz, David A, Sebert, Sylvain, Snieder, Harold, Sørensen, Thorkild IA, Starling, Anne P, Sunyer, Jordi, Taylor, Jack A, Tiemeier, Henning, Ullemar, Vilhelmina, Vafeiadi, Marina, Van Ijzendoorn, Marinus H, Vonk, Judith M, Vriens, Annette, Vrijheid, Martine, Wang, Pei, Wiemels, Joseph L, Wilcox, Allen J, Wright, Rosalind J, Xu, Cheng-Jian, Xu, Zongli, Yang, Ivana V, Yousefi, Paul, Zhang, Hongmei, Zhang, Weiming, Zhao, Shanshan, Agha, Golareh, Relton, Caroline L, Jaddoe, Vincent WV, and London, Stephanie J
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- 2017
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45. Down-Regulation of Human NDR Gene in Megakaryocytic Differentiation of Erythroleukemia K562 Cells.
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Cheng-Chung Liu, Andrew H.-J., Yu-Ling Chou, Andrew H.-J., and Lan-Yang Ch'ang
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MEGAKARYOCYTE differentiation , *GENES , *BONE marrow , *CORD blood , *CELL differentiation , *HEMATOPOIETIC stem cells - Abstract
To study the control of hematopoietic cell differentiation, a human negative differentiation regulator (NDR) gene was identified by the comparative analysis of differentially expressed genes in hemato-lymphoid tissues. NDR is expressed preferentially in the adult bone marrow, fetal liver and testis. Immunocytochemistry with anti-NDR antiserum showed the presence of NDR in human erythroleukemia K562 cell line and CD34[sup +] cells sorted from the umbilical cord blood. When fused to the green fluorescent protein (GFP), NDR was directed to the nucleus of mouse 3T3 and K562 cells. Fusion protein with a deletion from residues 7 to 87 was detected in the cytoplasm. NDR appeared not to affect the proliferation of K562 cells when overly expressed. However, its expression was down-regulated during megakaryocytic differentiation of K562 cells induced by 12-O -tetradecanoylphorbol-13-acetate (TPA). Down-regulation of NDR correlated well with up-regulation of megakaryocytic markers, CD41 and CD61. Overexpression of the nuclear NDR-GFP in K562 cells inhibited the expression of CD41 and CD61 in megakaryocytic differentiation. Treatment of K562 cells with GF-109203X (GFX), an antagonist of the protein kinase C (PKC), blocked NDR down-regulation, up-regulated expression of CD41/CD61 and TPA-induced megakaryocytic differentiation. These results suggest a novel function of nuclear NDR protein in regulating hematopoietic cell development. Copyright © 2004 National Science Council, ROC and S. Karger AG, Basel [ABSTRACT FROM AUTHOR]
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- 2004
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46. Anthrax and the Wool Trade.
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Klinnert, Mary D., Price, Marcella R., Liu, Andrew H., and Robinson, JoArn L.
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ANTHRAX ,WOOL ,WOOL industry ,ALPACA (Textile) ,MOHAIR industry - Abstract
Objectives. We describe the prevalence of asthma risk factors within racial/ethnic and language groups of infants participating in an intervention study for reducing chronic asthma. Methods. Low-income children aged 9 to 24 months with 3 or more episodes of wheezing illness were enrolled. Baseline information included family and medical histories, allergic status, environmental exposures, emotional environment, and caregiver psychosocial resources. Results. Racial/ethnic and language groups--European Americans, African Americans, high-acculturated Hispanics, and low-acculturated Hispanics--showed different patterns of risk factors for childhood asthma, with low-acculturated Hispanics showing the most distinctive pattern. Conclusions. Patterns of covariation of biological and psychosocial risk factors for childhood asthma were associated with racial/ethnic and language status among urban, low-income children. (Am J Public Health. 2002;92:792-798) [ABSTRACT FROM AUTHOR]
- Published
- 2002
47. The hygiene hypothesis: promises and pitfalls
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Liu, Andrew H.
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- 2004
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48. Atopic dermatitis increases the effect of exposure to peanut antigen in dust on peanut sensitization and likely peanut allergy
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Brough, Helen A., Liu, Andrew H., Sicherer, Scott, Makinson, Kerry, Douiri, Abdel, Brown, Sara J., Stephens, Alick C., Irwin Mclean, W.h., Turcanu, Victor, Wood, Robert A., Jones, Stacie M., Burks, Wesley, Dawson, Peter, Stablein, Donald, Sampson, Hugh, and Lack, Gideon
- Subjects
Male ,Arachis ,PA, Peanut allergy ,Immunology ,environmental peanut exposure ,sIgE, Specific IgE ,Dermatitis, Atopic ,Dust/analysis ,Antigens, Plant/analysis ,Arachis/immunology ,Odds Ratio ,Humans ,Immunology and Allergy ,Peanut Hypersensitivity ,Plant Proteins ,Skin Tests ,Atopic dermatitis ,Plant Proteins/analysis ,Atopic Dermatitis and Skin Disease ,FLG, Filaggrin ,EPE, Environmental peanut exposure ,peanut sensitization ,LLQ, Lower limit of quantitation ,Infant ,food and beverages ,peanut allergy ,SPT, Skin prick test ,IQR, Interquartile range ,Environmental Exposure ,Allergens ,Antigens, Plant ,CoFAR, Consortium of Food Allergy Research ,Peanut Hypersensitivity/diagnosis ,LR, Logistic regression ,Dermatitis, Atopic/epidemiology ,AD, Atopic dermatitis ,Housing ,Female ,dust ,Allergens/analysis ,Environmental Exposure/adverse effects ,OR, Odds ratio - Abstract
BackgroundHistory and severity of atopic dermatitis (AD) are risk factors for peanut allergy. Recent evidence suggests that children can become sensitized to food allergens through an impaired skin barrier. Household peanut consumption, which correlates strongly with peanut protein levels in household dust, is a risk factor for peanut allergy.ObjectiveWe sought to assess whether environmental peanut exposure (EPE) is a risk for peanut sensitization and allergy and whether markers of an impaired skin barrier modify this risk.MethodsPeanut protein in household dust (in micrograms per gram) was assessed in highly atopic children (age, 3-15 months) recruited to the Consortium of Food Allergy Research Observational Study. History and severity of AD, peanut sensitization, and likely allergy (peanut-specific IgE, ≥5 kUA/mL) were assessed at recruitment into the Consortium of Food Allergy Research study.ResultsThere was an exposure-response relationship between peanut protein levels in household dust and peanut skin prick test (SPT) sensitization and likely allergy. In the final multivariate model an increase in 4 log2 EPE units increased the odds of peanut SPT sensitization (1.71-fold; 95% CI, 1.13- to 2.59-fold; P = .01) and likely peanut allergy (PA; 2.10-fold; 95% CI, 1.20- to 3.67-fold; P < .01). The effect of EPE on peanut SPT sensitization was augmented in children with a history of AD (OR, 1.97; 95% CI, 1.26-3.09; P < .01) and augmented even further in children with a history of severe AD (OR, 2.41; 95% CI, 1.30-4.47; P < .01); the effect of EPE on PA was also augmented in children with a history of AD (OR, 2.34; 95% CI, 1.31-4.18; P < .01).ConclusionExposure to peanut antigen in dust through an impaired skin barrier in atopically inflamed skin is a plausible route for peanut SPT sensitization and PA.
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