1
|
Erranz MB, Wilhelm BJ, Riquelme VR, Cruces RP. [Genetic predisposition and Pediatric Acute Respiratory Distress Syndrome: New tools for genetic study]. REVISTA CHILENA DE PEDIATRIA 2015; 86:73-79. [PMID: 26235685 DOI: 10.1016/j.rchipe.2015.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Accepted: 03/02/2015] [Indexed: 06/04/2023]
Abstract
Acute respiratory distress syndrome (ARDS) is the most severe form of respiratory failure. Theoretically, any acute lung condition can lead to ARDS, but only a small percentage of individuals actually develop the disease. On this basis, genetic factors have been implicated in the risk of developing ARDS. Based on the pathophysiology of this disease, many candidate genes have been evaluated as potential modifiers in patient, as well as in animal models, of ARDS. Recent experimental data and clinical studies suggest that variations of genes involved in key processes of tissue, cellular and molecular lung damage may influence susceptibility and prognosis of ARDS. However, the pathogenesis of pediatric ARDS is complex, and therefore, it can be expected that many genes might contribute. Genetic variations such as single nucleotide polymorphisms and copy-number variations are likely associated with susceptibility to ARDS in children with primary lung injury. Genome-wide association (GWA) studies can objectively examine these variations, and help identify important new genes and pathogenetic pathways for future analysis. This approach might also have diagnostic and therapeutic implications, such as predicting patient risk or developing a personalized therapeutic approach to this serious syndrome.
Collapse
Affiliation(s)
- M Benjamín Erranz
- Centro de Medicina Regenerativa, Facultad de Medicina Clínica Alemana-Universidad del Desarrollo, Santiago, Chile
| | - B Jan Wilhelm
- Departamento de Pediatría, Facultad de Medicina Clínica Alemana-Universidad del Desarrollo, Santiago, Chile
| | - V Raquel Riquelme
- Unidad de Paciente Crítico Pediátrica, Hospital El Carmen de Maipú, Santiago, Chile
| | - R Pablo Cruces
- Unidad de Paciente Crítico Pediátrica, Hospital El Carmen de Maipú, Santiago, Chile; Centro de Investigación de Medicina Veterinaria, Escuela de Medicina Veterinaria, Facultad de Ecología y Recursos Naturales, Universidad Andres Bello, Santiago, Chile.
| |
Collapse
|
2
|
Ghazalpour A, Rau CD, Farber CR, Bennett BJ, Orozco LD, van Nas A, Pan C, Allayee H, Beaven SW, Civelek M, Davis RC, Drake TA, Friedman RA, Furlotte N, Hui ST, Jentsch JD, Kostem E, Kang HM, Kang EY, Joo JW, Korshunov VA, Laughlin RE, Martin LJ, Ohmen JD, Parks BW, Pellegrini M, Reue K, Smith DJ, Tetradis S, Wang J, Wang Y, Weiss JN, Kirchgessner T, Gargalovic PS, Eskin E, Lusis AJ, LeBoeuf RC. Hybrid mouse diversity panel: a panel of inbred mouse strains suitable for analysis of complex genetic traits. Mamm Genome 2012; 23:680-92. [PMID: 22892838 PMCID: PMC3586763 DOI: 10.1007/s00335-012-9411-5] [Citation(s) in RCA: 104] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2012] [Accepted: 07/04/2012] [Indexed: 11/28/2022]
Abstract
We have developed an association-based approach using classical inbred strains of mice in which we correct for population structure, which is very extensive in mice, using an efficient mixed-model algorithm. Our approach includes inbred parental strains as well as recombinant inbred strains in order to capture loci with effect sizes typical of complex traits in mice (in the range of 5% of total trait variance). Over the last few years, we have typed the hybrid mouse diversity panel (HMDP) strains for a variety of clinical traits as well as intermediate phenotypes and have shown that the HMDP has sufficient power to map genes for highly complex traits with resolution that is in most cases less than a megabase. In this essay, we review our experience with the HMDP, describe various ongoing projects, and discuss how the HMDP may fit into the larger picture of common diseases and different approaches.
Collapse
Affiliation(s)
- Anatole Ghazalpour
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Christoph D. Rau
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA, USA
| | - Charles R. Farber
- Departments of Medicine and Biochemistry and Molecular Genetics, and Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Brian J. Bennett
- Department of Genetics, and Nutrition Research Institute, University of North Carolina, Chapel Hill, NC, USA
| | - Luz D. Orozco
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Atila van Nas
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Calvin Pan
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Hooman Allayee
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Simon W. Beaven
- Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Mete Civelek
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Richard C. Davis
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Thomas A. Drake
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Rick A. Friedman
- Department of Otology/Skull Base Surgery, House Research Institute, Los Angeles, CA, USA
| | - Nick Furlotte
- Department of Computer Sciences, University of California, Los Angeles, CA, USA
| | - Simon T. Hui
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - J. David Jentsch
- Department of Psychology & Behavioral Neuroscience and Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Emrah Kostem
- Department of Computer Sciences, University of California, Los Angeles, CA, USA
| | - Hyun Min Kang
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Eun Yong Kang
- Department of Computer Sciences, University of California, Los Angeles, CA, USA
| | - Jong Wha Joo
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA. Bioinformatics Program, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Vyacheslav A. Korshunov
- Department of Medicine, Aab Cardiovascular Research Institute, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Rick E. Laughlin
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Lisa J. Martin
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Jeffrey D. Ohmen
- Department of Cell Biology and Genetics, House Research Institute, Los Angeles, CA, USA
| | - Brian W. Parks
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Matteo Pellegrini
- Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, USA
| | - Karen Reue
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Desmond J. Smith
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Sotirios Tetradis
- Molecular Biology Institute, David Geffen School of Medicine, University of California, Los Angeles, CA, USA. Division of Diagnostic and Surgical Science, School of Dentistry, University of California, Los Angeles, CA, USA
| | - Jessica Wang
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA. Department of Medicine/Cardiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Yibin Wang
- Division of Molecular Medicine, Department of Anesthesiology, Physiology and Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - James N. Weiss
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA, USA
| | - Todd Kirchgessner
- Department of Cardiovascular Drug Discovery, Bristol-Myers Squibb Co, Pennington, NJ, USA
| | - Peter S. Gargalovic
- Department of Cardiovascular Drug Discovery, Bristol-Myers Squibb Co, Pennington, NJ, USA
| | - Eleazar Eskin
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA. Department of Computer Sciences, University of California, Los Angeles, CA, USA
| | - Aldons J. Lusis
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA. Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA, USA. Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA. Division of Diagnostic and Surgical Science, School of Dentistry, University of California, Los Angeles, CA, USA
| | - Renée C. LeBoeuf
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington, 850 Republican Street, Seattle, WA 98109-4725, USA
| |
Collapse
|
3
|
Leikauf GD, Pope-Varsalona H, Concel VJ, Liu P, Bein K, Berndt A, Martin TM, Ganguly K, Jang AS, Brant KA, Dopico RA, Upadhyay S, Di YPP, Li Q, Hu Z, Vuga LJ, Medvedovic M, Kaminski N, You M, Alexander DC, McDunn JE, Prows DR, Knoell DL, Fabisiak JP. Integrative assessment of chlorine-induced acute lung injury in mice. Am J Respir Cell Mol Biol 2012; 47:234-44. [PMID: 22447970 DOI: 10.1165/rcmb.2012-0026oc] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The genetic basis for the underlying individual susceptibility to chlorine-induced acute lung injury is unknown. To uncover the genetic basis and pathophysiological processes that could provide additional homeostatic capacities during lung injury, 40 inbred murine strains were exposed to chlorine, and haplotype association mapping was performed. The identified single-nucleotide polymorphism (SNP) associations were evaluated through transcriptomic and metabolomic profiling. Using ≥ 10% allelic frequency and ≥ 10% phenotype explained as threshold criteria, promoter SNPs that could eliminate putative transcriptional factor recognition sites in candidate genes were assessed by determining transcript levels through microarray and reverse real-time PCR during chlorine exposure. The mean survival time varied by approximately 5-fold among strains, and SNP associations were identified for 13 candidate genes on chromosomes 1, 4, 5, 9, and 15. Microarrays revealed several differentially enriched pathways, including protein transport (decreased more in the sensitive C57BLKS/J lung) and protein catabolic process (increased more in the resistant C57BL/10J lung). Lung metabolomic profiling revealed 95 of the 280 metabolites measured were altered by chlorine exposure, and included alanine, which decreased more in the C57BLKS/J than in the C57BL/10J strain, and glutamine, which increased more in the C57BL/10J than in the C57BLKS/J strain. Genetic associations from haplotype mapping were strengthened by an integrated assessment using transcriptomic and metabolomic profiling. The leading candidate genes associated with increased susceptibility to acute lung injury in mice included Klf4, Sema7a, Tns1, Aacs, and a gene that encodes an amino acid carrier, Slc38a4.
Collapse
Affiliation(s)
- George D Leikauf
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, PA 15219-3130, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
4
|
Leikauf GD, Concel VJ, Liu P, Bein K, Berndt A, Ganguly K, Jang AS, Brant KA, Dietsch M, Pope-Varsalona H, Dopico RA, Di YPP, Li Q, Vuga LJ, Medvedovic M, Kaminski N, You M, Prows DR. Haplotype association mapping of acute lung injury in mice implicates activin a receptor, type 1. Am J Respir Crit Care Med 2011; 183:1499-509. [PMID: 21297076 PMCID: PMC3137140 DOI: 10.1164/rccm.201006-0912oc] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2010] [Accepted: 02/04/2011] [Indexed: 01/11/2023] Open
Abstract
RATIONALE Because acute lung injury is a sporadic disease produced by heterogeneous precipitating factors, previous genetic analyses are mainly limited to candidate gene case-control studies. OBJECTIVES To develop a genome-wide strategy in which single nucleotide polymorphism associations are assessed for functional consequences to survival during acute lung injury in mice. METHODS To identify genes associated with acute lung injury, 40 inbred strains were exposed to acrolein and haplotype association mapping, microarray, and DNA-protein binding were assessed. MEASUREMENTS AND MAIN RESULTS The mean survival time varied among mouse strains with polar strains differing approximately 2.5-fold. Associations were identified on chromosomes 1, 2, 4, 11, and 12. Seven genes (Acvr1, Cacnb4, Ccdc148, Galnt13, Rfwd2, Rpap2, and Tgfbr3) had single nucleotide polymorphism (SNP) associations within the gene. Because SNP associations may encompass "blocks" of associated variants, functional assessment was performed in 91 genes within ± 1 Mbp of each SNP association. Using 10% or greater allelic frequency and 10% or greater phenotype explained as threshold criteria, 16 genes were assessed by microarray and reverse real-time polymerase chain reaction. Microarray revealed several enriched pathways including transforming growth factor-β signaling. Transcripts for Acvr1, Arhgap15, Cacybp, Rfwd2, and Tgfbr3 differed between the strains with exposure and contained SNPs that could eliminate putative transcriptional factor recognition sites. Ccdc148, Fancl, and Tnn had sequence differences that could produce an amino acid substitution. Mycn and Mgat4a had a promoter SNP or 3'untranslated region SNPs, respectively. Several genes were related and encoded receptors (ACVR1, TGFBR3), transcription factors (MYCN, possibly CCDC148), and ubiquitin-proteasome (RFWD2, FANCL, CACYBP) proteins that can modulate cell signaling. An Acvr1 SNP eliminated a putative ELK1 binding site and diminished DNA-protein binding. CONCLUSIONS Assessment of genetic associations can be strengthened using a genetic/genomic approach. This approach identified several candidate genes, including Acvr1, associated with increased susceptibility to acute lung injury in mice.
Collapse
Affiliation(s)
- George D Leikauf
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15219-3130, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
5
|
Rusyn I, Gatti DM, Wiltshire T, Wilshire T, Kleeberger SR, Threadgill DW. Toxicogenetics: population-based testing of drug and chemical safety in mouse models. Pharmacogenomics 2010; 11:1127-36. [PMID: 20704464 DOI: 10.2217/pgs.10.100] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The rapid decline in the cost of dense genotyping is paving the way for new DNA sequence-based laboratory tests to move quickly into clinical practice, and to ultimately help realize the promise of 'personalized' therapies. These advances are based on the growing appreciation of genetics as an important dimension in science and the practice of investigative pharmacology and toxicology. On the clinical side, both the regulators and the pharmaceutical industry hope that the early identification of individuals prone to adverse drug effects will keep advantageous medicines on the market for the benefit of the vast majority of prospective patients. On the environmental health protection side, there is a clear need for better science to define the range and causes of susceptibility to adverse effects of chemicals in the population, so that the appropriate regulatory limits are established. In both cases, most of the research effort is focused on genome-wide association studies in humans where de novo genotyping of each subject is required. At the same time, the power of population-based preclinical safety testing in rodent models (e.g., mouse) remains to be fully exploited. Here, we highlight the approaches available to utilize the knowledge of DNA sequence and genetic diversity of the mouse as a species in mechanistic toxicology research. We posit that appropriate genetically defined mouse models may be combined with the limited data from human studies to not only discover the genetic determinants of susceptibility, but to also understand the molecular underpinnings of toxicity.
Collapse
Affiliation(s)
- Ivan Rusyn
- Department of Environmental Sciences & Engineering, 0031 Michael Hooker Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | | | | | | |
Collapse
|
6
|
Abstract
Acute lung injury can be induced indirectly (e.g., sepsis) or directly (e.g., chlorine inhalation). Because treatment is still limited to supportive measures, mortality remains high ( approximately 74,500 deaths/yr). In the past, accidental (railroad derailments) and intentional (Iraq terrorism) chlorine exposures have led to deaths and hospitalizations from acute lung injury. To better understand the molecular events controlling chlorine-induced acute lung injury, we have developed a functional genomics approach using inbred mice strains. Various mouse strains were exposed to chlorine (45 ppm x 24 h) and survival was monitored. The most divergent strains varied by more than threefold in mean survival time, supporting the likelihood of an underlying genetic basis of susceptibility. These divergent strains are excellent models for additional genetic analysis to identify critical candidate genes controlling chlorine-induced acute lung injury. Gene-targeted mice then could be used to test the functional significance of susceptibility candidate genes, which could be valuable in revealing novel insights into the biology of acute lung injury.
Collapse
|
7
|
Bauer AK, Kleeberger SR. Genetic mechanisms of susceptibility to ozone-induced lung disease. Ann N Y Acad Sci 2010; 1203:113-9. [PMID: 20716292 DOI: 10.1111/j.1749-6632.2010.05606.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Environmental oxidants remain a major public health concern in industrialized cities throughout the world. Population and epidemiological studies have associated oxidant air pollutants with morbidity and mortality outcomes, and underscore the important detrimental effects of these pollutants on the lung. Interindividual variation in pulmonary responses to air pollutants suggests that some subpopulations are at increased risk to detrimental effects of pollutant exposure, and it has become clear that genetic background is an important susceptibility factor. A number of genetics and genomics tools have recently emerged to enable identification of genes that contribute to differential responsiveness to oxidants, including ozone (O(3)). Integrative omics approaches have been applied in inbred mice to identify genes that determine differential responsiveness to O(3)-induced injury and inflammation, including Tnf, Tlr4, and MHC Class II genes. Combined investigations across cell models, inbred mice, and humans have provided, and will continue to provide, important insight to understanding genetic factors that contribute to differential susceptibility to oxidants.
Collapse
Affiliation(s)
- Alison K Bauer
- Department of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, Michigan, USA
| | | |
Collapse
|
8
|
Ahn SH, Deshmukh H, Johnson N, Cowell LG, Rude TH, Scott WK, Nelson CL, Zaas AK, Marchuk DA, Keum S, Lamlertthon S, Sharma-Kuinkel BK, Sempowski GD, Fowler VG. Two genes on A/J chromosome 18 are associated with susceptibility to Staphylococcus aureus infection by combined microarray and QTL analyses. PLoS Pathog 2010; 6:e1001088. [PMID: 20824097 PMCID: PMC2932726 DOI: 10.1371/journal.ppat.1001088] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2009] [Accepted: 08/04/2010] [Indexed: 11/18/2022] Open
Abstract
Although it has recently been shown that A/J mice are highly susceptible to Staphylococcus aureus sepsis as compared to C57BL/6J, the specific genes responsible for this differential phenotype are unknown. Using chromosome substitution strains (CSS), we found that loci on chromosomes 8, 11, and 18 influence susceptibility to S. aureus sepsis in A/J mice. We then used two candidate gene selection strategies to identify genes on these three chromosomes associated with S. aureus susceptibility, and targeted genes identified by both gene selection strategies. First, we used whole genome transcription profiling to identify 191 (56 on chr. 8, 100 on chr. 11, and 35 on chr. 18) genes on our three chromosomes of interest that are differentially expressed between S. aureus-infected A/J and C57BL/6J. Second, we identified two significant quantitative trait loci (QTL) for survival post-infection on chr. 18 using N2 backcross mice (F1 [C18A]×C57BL/6J). Ten genes on chr. 18 (March3, Cep120, Chmp1b, Dcp2, Dtwd2, Isoc1, Lman1, Spire1, Tnfaip8, and Seh1l) mapped to the two significant QTL regions and were also identified by the expression array selection strategy. Using real-time PCR, 6 of these 10 genes (Chmp1b, Dtwd2, Isoc1, Lman1, Tnfaip8, and Seh1l) showed significantly different expression levels between S. aureus-infected A/J and C57BL/6J. For two (Tnfaip8 and Seh1l) of these 6 genes, siRNA-mediated knockdown of gene expression in S. aureus–challenged RAW264.7 macrophages induced significant changes in the cytokine response (IL-1 β and GM-CSF) compared to negative controls. These cytokine response changes were consistent with those seen in S. aureus-challenged peritoneal macrophages from CSS 18 mice (which contain A/J chromosome 18 but are otherwise C57BL/6J), but not C57BL/6J mice. These findings suggest that two genes, Tnfaip8 and Seh1l, may contribute to susceptibility to S. aureus in A/J mice, and represent promising candidates for human genetic susceptibility studies. Staphylococcus aureus has a wide spectrum of human infection, ranging from asymptomatic nasal carriage to overwhelming sepsis and death. Mouse models offer an attractive strategy for investigating complex diseases such as S. aureus infections. A/J mice are highly susceptible to S. aureus infection compared with C57BL/6J mice. We showed that genes on chromosomes 8, 11, and 18 in A/J are responsible for susceptibility to S. aureus by using chromosome substitution strains (CSS). From the ∼4200 genes on these three chromosomes, we identified 191 which were differentially expressed between A/J and C57BL/6J when challenged with S. aureus. Next, we identified two significant QTLs on chromosome 18 that are associated with susceptibility to S. aureus infection in N2 backcross mice. Ten genes (March3, Cep120, Chmp1b, Dcp2, Dtwd2, Isoc1, Lman1, Spire1, Tnfaip8, and Seh1l) mapped to the two significant QTLs and were differentially expressed between A/J and C57BL/6J. One gene on each QTL, Tnfaip8 and Seh1l, affected expression of cytokines in mouse macrophages exposed to S. aureus. These cytokine response patterns were consistent with those seen in S. aureus-challenged peritoneal macrophages from CSS 18, but not C57BL/6J. Tnfaip8 and Seh1l are strong candidates for genes influencing susceptibility to S. aureus of A/J mice.
Collapse
MESH Headings
- Animals
- Apoptosis Regulatory Proteins/antagonists & inhibitors
- Apoptosis Regulatory Proteins/genetics
- Apoptosis Regulatory Proteins/metabolism
- Biomarkers/metabolism
- Blotting, Western
- Chemokines/metabolism
- Chromosome Mapping
- Chromosomes, Mammalian/genetics
- Cytokines/metabolism
- Enzyme-Linked Immunosorbent Assay
- Flow Cytometry
- Gene Expression Profiling
- Genetic Predisposition to Disease
- Humans
- Macrophages, Peritoneal/cytology
- Macrophages, Peritoneal/metabolism
- Macrophages, Peritoneal/microbiology
- Male
- Mice
- Mice, Inbred A
- Mice, Inbred C57BL
- Neutrophils/cytology
- Neutrophils/metabolism
- Neutrophils/microbiology
- Oligonucleotide Array Sequence Analysis
- Phenotype
- Polymorphism, Single Nucleotide/genetics
- Quantitative Trait Loci/genetics
- RNA, Messenger/genetics
- RNA, Small Interfering/pharmacology
- Reverse Transcriptase Polymerase Chain Reaction
- Sepsis/genetics
- Sepsis/microbiology
- Sepsis/pathology
- Staphylococcal Infections/genetics
- Staphylococcal Infections/microbiology
- Staphylococcal Infections/pathology
- Staphylococcus aureus/genetics
- Staphylococcus aureus/pathogenicity
Collapse
Affiliation(s)
- Sun-Hee Ahn
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Hitesh Deshmukh
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Nicole Johnson
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Lindsay G. Cowell
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Thomas H. Rude
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
| | - William K. Scott
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, Florida, United States of America
| | - Charlotte L. Nelson
- Duke Clinical Research Institute, Durham, North Carolina, United States of America
| | - Aimee K. Zaas
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Douglas A. Marchuk
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Sehoon Keum
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Supaporn Lamlertthon
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Batu K. Sharma-Kuinkel
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
| | | | - Vance G. Fowler
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
- Duke Clinical Research Institute, Durham, North Carolina, United States of America
- * E-mail:
| |
Collapse
|
9
|
Jang AS, Concel VJ, Bein K, Brant KA, Liu S, Pope-Varsalona H, Dopico RA, Di YPP, Knoell DL, Barchowsky A, Leikauf GD. Endothelial dysfunction and claudin 5 regulation during acrolein-induced lung injury. Am J Respir Cell Mol Biol 2010; 44:483-90. [PMID: 20525806 DOI: 10.1165/rcmb.2009-0391oc] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
An integral membrane protein, Claudin 5 (CLDN5), is a critical component of endothelial tight junctions that control pericellular permeability. Breaching of endothelial barriers is a key event in the development of pulmonary edema during acute lung injury (ALI). A major irritant in smoke, acrolein can induce ALI possibly by altering CLDN5 expression. This study sought to determine the cell signaling mechanism controlling endothelial CLDN5 expression during ALI. To assess susceptibility, 12 mouse strains were exposed to acrolein (10 ppm, 24 h), and survival monitored. Histology, lavage protein, and CLDN5 transcripts were measured in the lung of the most sensitive and resistant strains. CLDN5 transcripts and phosphorylation status of forkhead box O1 (FOXO1) and catenin (cadherin-associated protein) beta 1 (CTNNB1) proteins were determined in control and acrolein-treated human endothelial cells. Mean survival time (MST) varied more than 2-fold among strains with the susceptible (BALB/cByJ) and resistant (129X1/SvJ) strains (MST, 17.3 ± 1.9 h vs. 41.4 ± 5.1 h, respectively). Histological analysis revealed earlier perivascular enlargement in the BALB/cByJ than in 129X1/SvJ mouse lung. Lung CLDN5 transcript and protein increased more in the resistant strain than in the susceptible strain. In human endothelial cells, 30 nM acrolein increased CLDN5 transcripts and increased p-FOXO1 protein levels. The phosphatidylinositol 3-kinase inhibitor LY294002 diminished the acrolein-induced increased CLDN5 transcript. Acrolein (300 nM) decreased CLDN5 transcripts, which were accompanied by increased FOXO1 and CTNNB1. The phosphorylation status of these transcription factors was consistent with the observed CLDN5 alteration. Preservation of endothelial CLDN5 may be a novel clinical approach for ALI therapy.
Collapse
Affiliation(s)
- An Soo Jang
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15219-3130, USA
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
10
|
Leussis MP, Frayne ML, Saito M, Berry EM, Aldinger KA, Rockwell GN, Hammer RP, Baskin-Hill AE, Singer JB, Nadeau JH, Sklar P, Petryshen TL. Genomic survey of prepulse inhibition in mouse chromosome substitution strains. GENES BRAIN AND BEHAVIOR 2009; 8:806-16. [PMID: 19694817 DOI: 10.1111/j.1601-183x.2009.00526.x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Prepulse inhibition (PPI) is a measure of sensorimotor gating, a pre-attentional inhibitory brain mechanism that filters extraneous stimuli. Prepulse inhibition is correlated with measures of cognition and executive functioning, and is considered an endophenotype of schizophrenia and other psychiatric illnesses in which patients show PPI impairments. As a first step toward identifying genes that regulate PPI, we performed a quantitative trait locus (QTL) screen of PPI phenotypes in a panel of mouse chromosome substitution strains (CSSs). We identified five CSSs with altered PPI compared with the host C57BL/6J strain: CSS-4 exhibited decreased PPI, whereas CSS-10, -11, -16 and -Y exhibited higher PPI compared with C57BL/6J. These data indicate that A/J chromosomes 4, 10, 11, 16 and Y harbor at least one QTL region that modulates PPI in these CSSs. Quantitative trait loci for the acoustic startle response were identified on seven chromosomes. Like PPI, habituation of the startle response is also disrupted in schizophrenia, and in the present study CSS-7 and -8 exhibited deficits in startle habituation. Linkage analysis of an F(2) intercross identified a highly significant QTL for PPI on chromosome 11 between positions 101.5 and 114.4 Mb (peak LOD = 4.54). Future studies will map the specific genes contributing to these QTLs using congenic strains and other genomic approaches. Identification of genes that modulate PPI will provide insight into the neural mechanisms underlying sensorimotor gating, as well as the psychopathology of disorders characterized by gating deficits.
Collapse
Affiliation(s)
- M P Leussis
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
11
|
Flores C, Pino-Yanes MDM, Villar J. A quality assessment of genetic association studies supporting susceptibility and outcome in acute lung injury. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2008; 12:R130. [PMID: 18950526 PMCID: PMC2592769 DOI: 10.1186/cc7098] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2008] [Revised: 09/29/2008] [Accepted: 10/25/2008] [Indexed: 11/17/2022]
Abstract
Introduction Clinical observations and animal models provide evidence that the development of acute lung injury (ALI), a phenomenon of acute diffuse lung inflammation in critically ill patients, is influenced by genetic factors. Association studies are the main tool for exploring common genetic variations underlying ALI susceptibility and/or outcome. We aimed to assess the quality of positive genetic association studies with ALI susceptibility and/or outcome in adults in order to highlight their consistency and major limitations. Methods We conducted a broad PubMed literature search from 1996 to June 2008 for original articles in English supporting a positive association (P ≤ 0.05) of genetic variants contributing to all-cause ALI susceptibility and/or outcome. Studies were evaluated based on current recommendations using a 10-point quality scoring system derived from 14 criteria, and the gene was considered as the unit of replication. Genes were also categorized according to biological processes using the Gene Ontology. Results Our search identified a total of 29 studies reporting positive findings for 16 genes involved mainly in the response to external stimulus and cell signal transduction. The genes encoding for interleukin-6, mannose-binding lectin, surfactant protein B, and angiotensin-converting enzyme were the most replicated across the studies. On average, the studies had an intermediate quality score (median of 4.62 and interquartile range of 3.33 to 6.15). Conclusions Although the quality of association studies seems to have improved over the years, more and better designed studies, including the replication of previous findings, with larger sample sizes extended to population groups other than those of European descent, are needed for identifying firm genetic modifiers of ALI.
Collapse
Affiliation(s)
- Carlos Flores
- CIBER de Enfermedades Respiratorias (Instituto de Salud Carlos III), Carretera Soller Km. 12, 07110 Mallorca, Spain
| | | | | |
Collapse
|