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Dive into the research topics where Jessica C. Sieren is active.

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Featured researches published by Jessica C. Sieren.


Nature Medicine | 2010

Dynamic regulation of cardiolipin by the lipid pump Atp8b1 determines the severity of lung injury in experimental pneumonia

Nancy B. Ray; Lakshmi Durairaj; Bill B. Chen; Bryan J. McVerry; Alan J. Ryan; Michael P. Donahoe; Alisa K. Waltenbaugh; Christopher P. O'Donnell; Florita C. Henderson; Christopher A Etscheidt; Diann M. McCoy; Marianna Agassandian; Emily C Hayes-Rowan; Tiffany A. Coon; Phillip L. Butler; Lokesh Gakhar; Satya N. Mathur; Jessica C. Sieren; Yulia Y. Tyurina; Valerian E. Kagan; Geoffrey McLennan; Rama K. Mallampalli

Pneumonia remains the leading cause of death from infection in the US, yet fundamentally new conceptual models underlying its pathogenesis have not emerged. We show that humans and mice with bacterial pneumonia have markedly elevated amounts of cardiolipin, a rare, mitochondrial-specific phospholipid, in lung fluid and find that it potently disrupts surfactant function. Intratracheal cardiolipin administration in mice recapitulates the clinical phenotype of pneumonia, including impaired lung mechanics, modulation of cell survival and cytokine networks and lung consolidation. We have identified and characterized the activity of a unique cardiolipin transporter, the P-type ATPase transmembrane lipid pump Atp8b1, a mutant version of which is associated with severe pneumonia in humans and mice. Atp8b1 bound and internalized cardiolipin from extracellular fluid via a basic residue–enriched motif. Administration of a peptide encompassing the cardiolipin binding motif or Atp8b1 gene transfer in mice lessened bacteria-induced lung injury and improved survival. The results unveil a new paradigm whereby Atp8b1 is a cardiolipin importer whose capacity to remove cardiolipin from lung fluid is exceeded during inflammation or when Atp8b1 is defective. This discovery opens the door for new therapeutic strategies directed at modulating the abundance or molecular interactions of cardiolipin in pneumonia.


Journal of Magnetic Resonance Imaging | 2010

Recent technological and application developments in computed tomography and magnetic resonance imaging for improved pulmonary nodule detection and lung cancer staging

Jessica C. Sieren; Yoshiharu Ohno; Hisanobu Koyama; Kazuro Sugimura; Geoffrey McLennan

This review compares the emerging technologies and approaches in the application of magnetic resonance (MR) and computed tomography (CT) imaging for the assessment of pulmonary nodules and staging of malignant findings. Included in this review is a brief definition of pulmonary nodules and an introduction to the challenges faced. We have highlighted the current status of both MR and CT for the early detection of lung nodules. Developments are detailed in this review for the management of pulmonary nodules using advanced imaging, including: dynamic imaging studies, dual energy CT, computer aided detection and diagnosis, and imaging assisted nodule biopsy approaches which have improved lung nodule detection and diagnosis rates. Recent advancements linking in vivo imaging to corresponding histological pathology are also highlighted. In vivo imaging plays a pivotal role in the clinical staging of pulmonary nodules through TNM assessment. While CT and positron emission tomography (PET)/CT are currently the most commonly clinically employed modalities for pulmonary nodule staging, studies are presented that highlight the augmentative potential of MR. J. Magn. Reson. Imaging 2010;32:1353–1369.


Journal of Biological Chemistry | 2012

Mitochondrial Rac1 GTPase Import and Electron Transfer from Cytochrome c Are Required for Pulmonary Fibrosis

Heather L. Osborn-Heaford; Alan J. Ryan; Shubha Murthy; Ana-Monica Racila; Chao He; Jessica C. Sieren; Douglas R. Spitz; A. Brent Carter

Background: Rac1 activation is linked to H2O2 generation in macrophages. Results: Two cysteine residues in Rac1 modulate mitochondrial H2O2 generation via import and electron transfer from cytochrome c. Conclusion: Mitochondrial Rac1 activity in alveolar macrophages is associated with oxidative stress. Significance: Rac1 directly mediates mitochondrial H2O2 production in alveolar macrophages, which is linked to pulmonary fibrosis. The generation of reactive oxygen species, particularly H2O2, from alveolar macrophages is causally related to the development of pulmonary fibrosis. Rac1, a small GTPase, is known to increase mitochondrial H2O2 generation in macrophages; however, the mechanism by which this occurs is not known. This study shows that Rac1 is localized in the mitochondria of alveolar macrophages from asbestosis patients, and mitochondrial import requires the C-terminal cysteine of Rac1 (Cys-189), which is post-translationally modified by geranylgeranylation. Furthermore, H2O2 generation mediated by mitochondrial Rac1 requires electron transfer from cytochrome c to a cysteine residue on Rac1 (Cys-178). Asbestos-exposed mice harboring a conditional deletion of Rac1 in macrophages demonstrated decreased oxidative stress and were significantly protected from developing pulmonary fibrosis. These observations demonstrate that mitochondrial import and direct electron transfer from cytochrome c to Rac1 modulates mitochondrial H2O2 production in alveolar macrophages pulmonary fibrosis.


Journal of Clinical Investigation | 2014

Development and translational imaging of a TP53 porcine tumorigenesis model

Jessica C. Sieren; David K. Meyerholz; Xiao-Jun Wang; Bryan T. Davis; John D. Newell; Emily Hammond; Judy A. Rohret; Frank A. Rohret; Jason T. Struzynski; J. Adam Goeken; Paul W. Naumann; Mariah R. Leidinger; Agshin F. Taghiyev; Richard Van Rheeden; Jussara Hagen; Benjamin W. Darbro; Dawn E. Quelle; Christopher S. Rogers

Cancer is the second deadliest disease in the United States, necessitating improvements in tumor diagnosis and treatment. Current model systems of cancer are informative, but translating promising imaging approaches and therapies to clinical practice has been challenging. In particular, the lack of a large-animal model that accurately mimics human cancer has been a major barrier to the development of effective diagnostic tools along with surgical and therapeutic interventions. Here, we developed a genetically modified porcine model of cancer in which animals express a mutation in TP53 (which encodes p53) that is orthologous to one commonly found in humans (R175H in people, R167H in pigs). TP53(R167H/R167H) mutant pigs primarily developed lymphomas and osteogenic tumors, recapitulating the tumor types observed in mice and humans expressing orthologous TP53 mutant alleles. CT and MRI imaging data effectively detected developing tumors, which were validated by histopathological evaluation after necropsy. Molecular genetic analyses confirmed that these animals expressed the R167H mutant p53, and evaluation of tumors revealed characteristic chromosomal instability. Together, these results demonstrated that TP53(R167H/R167H) pigs represent a large-animal tumor model that replicates the human condition. Our data further suggest that this model will be uniquely suited for developing clinically relevant, noninvasive imaging approaches to facilitate earlier detection, diagnosis, and treatment of human cancers.


Laryngoscope | 2012

Sinus hypoplasia precedes sinus infection in a porcine model of cystic fibrosis.

Eugene H. Chang; Alejandro A. Pezzulo; David K. Meyerholz; Andrea Potash; Tanner J Wallen; Leah R. Reznikov; Jessica C. Sieren; Philip H. Karp; Sarah E. Ernst; Thomas O. Moninger; Nicholas D. Gansemer; Paul B. McCray; David A. Stoltz; Michael J. Welsh; Joseph Zabner

Chronic sinusitis is nearly universal in humans with cystic fibrosis (CF) and is accompanied by sinus hypoplasia (small sinuses). However, whether impaired sinus development is a primary feature of loss of the cystic fibrosis transmembrane conductance regulator (CFTR) or a secondary consequence of chronic infection remains unknown. Our objective was to study the early pathogenesis of sinus disease in CF.


Journal of Applied Physiology | 2010

Lung structure phenotype variation in inbred mouse strains revealed through in vivo micro-CT imaging

Jacqueline Thiesse; Eman Namati; Jessica C. Sieren; Amanda R. Smith; Joseph M. Reinhardt; Eric A. Hoffman; Geoffrey McLennan

Within pulmonary research, the development of mouse models has provided insight into disease development, progression, and treatment. Structural phenotypes of the lung in healthy inbred mouse strains are necessary for comparison to disease models. To date, progress in the assessment of lung function in these small animals using whole lung function tests has been made. However, assessment of in vivo lung structure of inbred mouse strains has yet to be well defined. Therefore, the link between the structure and function phenotypes is still unclear. With advancements in small animal imaging it is now possible to investigate lung structures such as the central and peripheral airways, whole lung, and lobar volumes of mice in vivo, through the use of micro-CT imaging. In this study, we performed in vivo micro-CT imaging of the C57BL/6, A/J, and BALB/c mouse strains using the intermittent iso-pressure breath hold (IIBH) technique. The resulting high-resolution images were used to extract lung structure phenotypes. The three-dimensional lobar structures and airways were defined and a meaningful mouse airway nomenclature was developed. In addition, using these techniques we have uncovered significant differences in the airway structures between inbred mouse strains in vivo.


Thorax | 2014

Comparison of spirometric thresholds in diagnosing smoking-related airflow obstruction

Surya P. Bhatt; Jessica C. Sieren; Mark T. Dransfield; George R. Washko; John D. Newell; Douglas A Stinson; Gideon K. D. Zamba; Eric A. Hoffman

Background Diagnosis of chronic obstructive pulmonary disease is based on detection of airflow obstruction on spirometry. There is no consensus regarding using a fixed threshold to define airflow obstruction versus using the lower limit of normal (LLN) adjusted for age. We compared the accuracy and discrimination of the Global Initiative for Chronic Obstructive Lung Disease (GOLD) recommended fixed ratio of forced expiratory volume in the first second/forced vital capacity<0.70 with LLN in diagnosing smoking-related airflow obstruction using CT-defined emphysema and gas trapping as the disease gold standard. Methods Data from a large multicentre study (COPDGene), which included current and former smokers (age range 45–80 years) with and without airflow obstruction, were analysed. Concordance between spirometric thresholds was measured. The accuracy of the thresholds in diagnosing emphysema and gas trapping was assessed using quantitative CT as gold standard. Results 7743 subjects were included. There was very good agreement between the two spirometric cutoffs (κ=0.85; 95% CI 0.83 to 0.86, p<0.001). 7.3% were discordant. Subjects with airflow obstruction by fixed ratio only had a greater degree of emphysema (4.1% versus 1.2%, p<0.001) and gas trapping (19.8% vs 7.5%, p<0.001) than those positive by LLN only, and also smoking controls without airflow obstruction (4.1% vs 1.9% and 19.8% vs 10.9%, respectively, p<0.001). On follow-up, the fixed ratio only group had more exacerbations than smoking controls. Conclusions Compared with the fixed ratio, the use of LLN fails to identify a number of patients with significant pulmonary pathology and respiratory morbidity.


Medical Physics | 2010

Longitudinal assessment of lung cancer progression in the mouse using in vivo micro-CT imaging

Eman Namati; Jacqueline Thiesse; Jessica C. Sieren; Alan Ross; Eric A. Hoffman; Geoffrey McLennan

PURPOSE Small animal micro-CT imaging is being used increasingly in preclinical biomedical research to provide phenotypic descriptions of genomic models. Most of this imaging is coincident with animal death and is used to show the extent of disease as an end point. Longitudinal imaging overcomes the limitation of single time-point imaging because it enables tracking of the natural history of disease and provides qualitative and, where possible, quantitative assessments of the effects of an intervention. The pulmonary system is affected by many disease conditions, such as lung cancer, chronic obstructive pulmonary disease, asthma, and granulomatous disorders. Noninvasive imaging can accurately assess the lung phenotype within the living animal, evaluating not only global lung measures, but also regional pathology. However, imaging the lung in the living animal is complicated by rapid respiratory motion, which leads to image based artifacts. Furthermore, no standard mouse lung imaging protocols exist for longitudinal assessment, with each group needing to develop their own systematic approach. METHODS In this article, the authors present an outline for performing longitudinal breath-hold gated micro-CT imaging for the assessment of lung nodules in a mouse model of lung cancer. The authors describe modifications to the previously published intermittent isopressure breath-hold technique including a new animal preparation and anesthesia protocol, implementation of a ring artifact reduction, variable scanner geometry, and polynomial beam hardening correction. In addition, the authors describe a multitime-point data set registration and tumor labeling and tracking strategy. RESULTS In vivo micro-CT data sets were acquired at months 2, 3, and 4 posturethane administration in cancer mice (n = 5) and simultaneously in control mice (n = 3). 137 unique lung nodules were identified from the cancer mice while no nodules were detected in the control mice. A total of 411 nodules were segmented and labeled over the three time-points. Lung nodule metrics including RECIST, Ortho, WHO, and 3D volume were determined and extracted. A tumor incidence rate of 30.44 +/- 1.93 SEM for n = 5 was found with identification of nodules as small as 0.11 mm (RECIST) and as large as 1.66 mm (RECIST). In addition, the tumor growth and doubling rate between months 2-3 and 3-4 were calculated. Here, the growth rate was slightly higher in the second period based on the 3D volume data (0.12 +/- 0.13 to 0.13 +/- 0.17 microl) but significantly less based on the linear diameter metrics [RECIST (0.33 +/- 0.19 to 0.17 +/- 0.18 mm); Ortho (0.24 +/- 0.15 to 0.16 +/- 0.15 mm)], indicating the need to understand how each metric is obtained and how to correctly interpret change in tumor size. CONCLUSIONS In conclusion, micro-CT imaging provides a unique platform for in vivo longitudinal assessment of pulmonary lung cancer progression and potentially tracking of therapies at very high resolutions. The ability to evaluate the same subject over time provides for a sensitive assay that can be carried out on a smaller sample size. When integrated with image processing and analysis routines as detailed in this study, the data acquired from micro-CT imaging can now provide a very powerful assessment of pulmonary disease outcomes.


American Journal of Respiratory and Critical Care Medicine | 2017

Computed Tomography Measure of Lung at Risk and Lung Function Decline in Chronic Obstructive Pulmonary Disease.

Surya P. Bhatt; Sandeep Bodduluri; Eric A. Hoffman; Jessica C. Sieren; Mark T. Dransfield; Joseph M. Reinhardt

Rationale: The rate of decline of lung function is greater than age‐related change in a substantial proportion of patients with chronic obstructive pulmonary disease, even after smoking cessation. Regions of the lung adjacent to emphysematous areas are subject to abnormal stretch during respiration, and this biomechanical stress likely influences emphysema initiation and progression. Objectives: To assess whether quantifying this penumbra of lung at risk would predict FEV1 decline. Methods: We analyzed paired inspiratory‐expiratory computed tomography images at baseline of 680 subjects participating in a large multicenter study (COPDGene) over approximately 5 years. By matching inspiratory and expiratory images voxel by voxel using image registration, we calculated the Jacobian determinant, a measure of local lung expansion and contraction with respiration. We measured the distance between each normal voxel to the nearest emphysematous voxel, and quantified the percentage of normal voxels within each millimeter distance from emphysematous voxels as mechanically affected lung (MAL). Multivariable regression analyses were performed to assess the relationship between the Jacobian determinant, MAL, and FEV1 decline. Measurements and Main Results: The mean (SD) rate of decline in FEV1 was 39.0 (58.6) ml/yr. There was a progressive decrease in the mean Jacobian determinant of both emphysematous and normal voxels with increasing disease stage (P < 0.001). On multivariable analyses, the mean Jacobian determinant of normal voxels within 2 mm of emphysematous voxels (MAL2) was significantly associated with FEV1 decline. In mild‐moderate disease, for participants at or above the median MAL2 (threshold, 36.9%), the mean decline in FEV1 was 56.4 (68.0) ml/yr versus 43.2 (59.9) ml/yr for those below the median (P = 0.044). Conclusions: Areas of normal‐appearing lung are mechanically influenced by emphysematous areas and this lung at risk is associated with lung function decline. Clinical trial registered with www.clinicaltrials.gov (NCT00608764).


Journal of medical imaging | 2015

Improved pulmonary nodule classification utilizing quantitative lung parenchyma features

Samantha K. N. Dilger; Johanna Uthoff; Alexandra Judisch; Emily Hammond; Sarah L. Mott; Brian J. Smith; John D. Newell; Eric A. Hoffman; Jessica C. Sieren

Abstract. Current computer-aided diagnosis (CAD) models for determining pulmonary nodule malignancy characterize nodule shape, density, and border in computed tomography (CT) data. Analyzing the lung parenchyma surrounding the nodule has been minimally explored. We hypothesize that improved nodule classification is achievable by including features quantified from the surrounding lung tissue. To explore this hypothesis, we have developed expanded quantitative CT feature extraction techniques, including volumetric Laws texture energy measures for the parenchyma and nodule, border descriptors using ray-casting and rubber-band straightening, histogram features characterizing densities, and global lung measurements. Using stepwise forward selection and leave-one-case-out cross-validation, a neural network was used for classification. When applied to 50 nodules (22 malignant and 28 benign) from high-resolution CT scans, 52 features (8 nodule, 39 parenchymal, and 5 global) were statistically significant. Nodule-only features yielded an area under the ROC curve of 0.918 (including nodule size) and 0.872 (excluding nodule size). Performance was improved through inclusion of parenchymal (0.938) and global features (0.932). These results show a trend toward increased performance when the parenchyma is included, coupled with the large number of significant parenchymal features that support our hypothesis: the pulmonary parenchyma is influenced differentially by malignant versus benign nodules, assisting CAD-based nodule characterizations.

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Eric A. Hoffman

University of Central Florida

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Geoffrey McLennan

Pennsylvania State University

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David K. Meyerholz

Roy J. and Lucille A. Carver College of Medicine

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Surya P. Bhatt

University of Alabama at Birmingham

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