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Levy H, Jia S, Pan A, Zhang X, Kaldunski M, Nugent ML, Reske M, Feliciano RA, Quintero D, Renda MM, Woods KJ, Murkowski K, Johnson K, Verbsky J, Dasu T, Ideozu JE, McColley S, Quasney MW, Dahmer MK, Avner E, Farrell PM, Cannon CL, Jacob H, Simpson PM, Hessner MJ. Identification of molecular signatures of cystic fibrosis disease status with plasma-based functional genomics. Physiol Genomics 2018; 51:27-41. [PMID: 30540547 DOI: 10.1152/physiolgenomics.00109.2018] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Although cystic fibrosis (CF) is attributed to dysfunction of a single gene, the relationships between the abnormal gene product and the development of inflammation and progression of lung disease are not fully understood, which limits our ability to predict an individual patient's clinical course and treatment response. To better understand CF progression, we characterized the molecular signatures of CF disease status with plasma-based functional genomics. Peripheral blood mononuclear cells (PBMCs) from healthy donors were cultured with plasma samples from CF patients ( n = 103) and unrelated, healthy controls ( n = 31). Gene expression levels were measured with an Affymetrix microarray (GeneChip Human Genome U133 Plus 2.0). Peripheral blood samples from a subset of the CF patients ( n = 40) were immunophenotyped by flow cytometry, and the data were compared with historical data for age-matched healthy controls ( n = 351). Plasma samples from another subset of CF patients ( n = 56) and healthy controls ( n = 16) were analyzed by multiplex enzyme-linked immunosorbent assay (ELISA) for numerous cytokines and chemokines. Principal component analysis and hierarchical clustering of induced transcriptional data revealed disease-specific plasma-induced PBMC profiles. Among 1,094 differentially expressed probe sets, 51 genes were associated with pancreatic sufficient status, and 224 genes were associated with infection with Pseudomonas aeruginosa. The flow cytometry and ELISA data confirmed that various immune modulators are relevant contributors to the CF molecular signature. This study provides strong evidence for distinct molecular signatures among CF patients. An understanding of these molecular signatures may lead to unique molecular markers that will enable more personalized prognoses, individualized treatment plans, and rapid monitoring of treatment response.
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Affiliation(s)
- Hara Levy
- Human Molecular Genetics Program, Stanley Manne Children's Research Institute of Chicago , Chicago, Illinois.,Division of Pulmonary Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago , Chicago, Illinois.,Northwestern University Feinberg School of Medicine , Chicago, Illinois
| | - Shuang Jia
- Division of Endocrinology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin.,Max McGee National Research Center for Juvenile Diabetes, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Amy Pan
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin.,Division of Quantitative Health Sciences, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Xi Zhang
- Human Molecular Genetics Program, Stanley Manne Children's Research Institute of Chicago , Chicago, Illinois.,Division of Pulmonary Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago , Chicago, Illinois.,Northwestern University Feinberg School of Medicine , Chicago, Illinois
| | - Mary Kaldunski
- Division of Endocrinology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin.,Max McGee National Research Center for Juvenile Diabetes, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Melodee L Nugent
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin.,Division of Quantitative Health Sciences, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Melissa Reske
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin
| | - Rachel A Feliciano
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin
| | - Diana Quintero
- Division of Pulmonology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Michael M Renda
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin
| | - Katherine J Woods
- Division of Pediatric Critical Care Medicine, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Kathy Murkowski
- Division of Pediatric Critical Care Medicine, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Keven Johnson
- Human Molecular Genetics Program, Stanley Manne Children's Research Institute of Chicago , Chicago, Illinois
| | - James Verbsky
- Division of Rheumatology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Trivikram Dasu
- Division of Rheumatology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Justin Eze Ideozu
- Human Molecular Genetics Program, Stanley Manne Children's Research Institute of Chicago , Chicago, Illinois.,Division of Pulmonary Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago , Chicago, Illinois.,Northwestern University Feinberg School of Medicine , Chicago, Illinois
| | - Susanna McColley
- Division of Pulmonary Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago , Chicago, Illinois.,Northwestern University Feinberg School of Medicine , Chicago, Illinois
| | - Michael W Quasney
- Division of Pediatric Critical Care Medicine, University of Michigan Medical School , Ann Arbor, Michigan
| | - Mary K Dahmer
- Division of Pediatric Critical Care Medicine, University of Michigan Medical School , Ann Arbor, Michigan
| | - Ellis Avner
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin.,Division of Nephrology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Philip M Farrell
- Department of Pediatrics and Population Health Sciences, University of Wisconsin School of Medicine and Public Health , Madison, Wisconsin
| | - Carolyn L Cannon
- Division of Pulmonary Medicine, Department of Pediatrics, Baylor College of Medicine , Houston, Texas
| | - Howard Jacob
- Genomic Medicine, Institute for Biotechnology, Hudson Alpha, Huntsville, Alabama
| | - Pippa M Simpson
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin.,Division of Quantitative Health Sciences, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Martin J Hessner
- Division of Endocrinology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin.,Max McGee National Research Center for Juvenile Diabetes, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin.,Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin
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Levy H, Wang X, Kaldunski M, Jia S, Kramer J, Pavletich SJ, Reske M, Gessel T, Yassai M, Quasney MW, Dahmer MK, Gorski J, Hessner MJ. Transcriptional signatures as a disease-specific and predictive inflammatory biomarker for type 1 diabetes. Genes Immun 2012; 13:593-604. [PMID: 22972474 PMCID: PMC4265236 DOI: 10.1038/gene.2012.41] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding therapeutic decisions and monitoring interventions. We previously demonstrated that plasma samples from recent-onset type 1 diabetes (RO T1D) patients induce a proinflammatory transcriptional signature in freshly drawn peripheral blood mononuclear cells (PBMCs) relative to that of unrelated healthy controls (HC). Here, using cryopreserved PBMC, we analyzed larger RO T1D and HC cohorts, examined T1D progression in pre-onset samples, and compared the RO T1D signature to those associated with three disorders characterized by airway infection and inflammation. The RO T1D signature, consisting of interleukin-1 cytokine family members, chemokines involved in immunocyte chemotaxis, immune receptors and signaling molecules, was detected during early pre-diabetes and found to resolve post-onset. The signatures associated with cystic fibrosis patients chronically infected with Pseudomonas aeruginosa, patients with confirmed bacterial pneumonia, and subjects with H1N1 influenza all reflected immunological activation, yet each were distinct from one another and negatively correlated with that of T1D. This study highlights the remarkable capacity of cells to serve as biosensors capable of sensitively and comprehensively differentiating immunological states.
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Affiliation(s)
- H Levy
- The Department of Pediatrics, The Medical College of Wisconsin, Milwaukee, WI 53226, USA
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Levy H, Murphy A, Zou F, Gerard C, Klanderman B, Schuemann B, Lazarus R, García KC, Celedón JC, Drumm M, Dahmer M, Quasney M, Schneck K, Reske M, Knowles MR, Pier GB, Lange C, Weiss ST. IL1B polymorphisms modulate cystic fibrosis lung disease. Pediatr Pulmonol 2009; 44:580-93. [PMID: 19431193 PMCID: PMC3716579 DOI: 10.1002/ppul.21026] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
RATIONALE Variability in pulmonary disease severity is found in patients with cystic fibrosis (CF) who have identical mutations in the CF transmembrane conductance regulator (CFTR) gene. We hypothesized that one factor accounting for heterogeneity in pulmonary disease severity is variation in the family of genes affecting the biology of interleukin-1 (IL-1), which impacts acquisition and maintenance of Pseudomonas aeruginosa infection in animal models of chronic infection. METHODS We genotyped 58 single nucleotide polymorphisms (SNPs) in the IL-1 gene cluster in 808 CF subjects from the University of North Carolina and Case Western Reserve University (UNC/CWRU) joint cohort. All were homozygous for DeltaF508, and categories of "severe" (cases) or "mild" (control subjects) lung disease were defined by the lowest or highest quartile of forced expired volume (FEV(1)) for age in the CF population. After adjustment for age and gender, genotypic data were tested for association with lung disease severity. Odds ratios (ORs) comparing severe versus mild CF were also calculated for each genotype (with the homozygote major allele as the reference group) for all 58 SNPs. From these analyses, nine SNPs with a moderate effect size, OR < or =0.5 or >1.5, were selected for further testing. To replicate the case-control study results, we genotyped the same nine SNPs in a second population of CF parent-offspring trios (recruited from Children's Hospital Boston), in which the offspring had similar pulmonary phenotypes. For the trio analysis, both family-based and population-based associations were performed. RESULTS SNPs rs1143634 and rs1143639 in the IL1B gene demonstrated a consistent association with lung disease severity categories (P < 0.10) and longitudinal analysis of lung disease severity (P < 0.10) in CF in both the case-control and family-based studies. In females, there was a consistent association (false discovery rate adjusted joint P-value <0.06 for both SNPs) in both the analysis of lung disease severity in the UNC/CWRU cohort and the family-based analysis of affection status. CONCLUSION Our findings suggest that IL1beta is a clinically relevant modulator of CF lung disease.
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Affiliation(s)
- Hara Levy
- Division of Pulmonary Medicine, Children's Hospital, Boston, MA, USA.
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Abstract
BACKGROUND The ability to decode emotional information from facial expressions is crucial for successful social interaction. Borderline personality disorder (BPD) is characterized by serious problems in interpersonal relationships and emotional functioning. Empirical research on facial emotion recognition in BPD has been sparsely published and results are inconsistent. To specify emotion recognition deficits in BPD more closely, the present study implemented two emotion recognition tasks differing in response format. METHOD Nineteen patients with BPD and 19 healthy subjects were asked to evaluate the emotional content of visually presented stimuli (emotional and neutral faces). The first task, the Fear Anger Neutral (FAN) Test, required a rapid discrimination between negative or neutral facial expressions whereas in the second task, the Emotion Recognition (ER) Test, a precise decision regarding default emotions (sadness, happiness, anger, fear and neutral) had to be achieved without a time limit. RESULTS In comparison to healthy subjects, BPD patients showed a deficit in emotion recognition only in the fast discrimination of negative and neutral facial expressions (FAN Test). Consistent with earlier findings, patients demonstrated a negative bias in the evaluation of neutral facial expressions. When processing time was unlimited (ER Test), BPD patients performed as well as healthy subjects in the recognition of specific emotions. In addition, an association between performance in the fast discrimination task (FAN Test) and post-traumatic stress disorder (PTSD) co-morbidity was indicated. CONCLUSIONS Our data suggest a selective deficit of BPD patients in rapid and direct discrimination of negative and neutral emotional expressions that may underlie difficulties in social interactions.
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Affiliation(s)
- M Dyck
- Department of Psychiatry and Psychotherapy, RWTH Aachen University, Aachen, Germany.
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