Melissa A. Krueger

Dr. Melissa A. Krueger

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2020 in Journal of Applied Physiology
Verified
Journal Article
Closed access
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CBChristian Bauer
Christian Bauer
MKMelissa A. Krueger
Melissa A. Krueger
WLWayne J. E. Lamm
Wayne J. E. Lamm
RGRobb W. Glenny
Robb W. Glenny
RBReinhard R Beichel
Reinhard R Beichel
To facilitate computational toxicology, we developed an approach for generating high-resolution lung-anatomy and particle-deposition mouse models. Major processing steps of our method include mouse preparation, serial block-face cryomicrotome imaging, and highly automated image analysis for generating three-dimensional (3D) mesh-based models and volume-based models of lung anatomy (airways, lobes, sublobes, and near-acini structures) that are linked to local particle-deposition measurements. Analysis resulted in 34 mouse models covering 4 different mouse strains (B6C3F1: 8, BALB/C: 11, C57Bl/6: 8, and CD-1: 7) as well as both sexes (16 male and 18 female) and different particle sizes [2 μm (n = 15), 1 μm (n = 16), and 0.5 μm (n = 3)]. On average, resulting mouse airway models had 1,616.9 ± 298.1 segments, a centerline length of 597.6 ± 59.8 mm, and 1,968.9 ± 296.3 outlet regions. In addition to 3D geometric lung models, matching detailed relative particle-deposition measurements are provided. All data sets are available online in the lapdMouse archive for download. The presented approach enables linking relative particle deposition to anatomical structures like airways. This will in turn improve the understanding of site-specific airflows and how they affect drug, environmental, or biological aerosol deposition. NEW & NOTEWORTHY Computer simulations of particle deposition in mouse lungs play an important role in computational toxicology. Until now, a limiting factor was the lack of high-resolution mouse lung models and measured local particle-deposition information, which are required for developing accurate modeling approaches (e.g., computational fluid dynamics). With the developed imaging and analysis approach, we address this issue and provide all of the raw and processed data in a publicly accessible repository.

26 April 2013 in Circulation Research
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Journal Article
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MKMelissa A. Krueger
Melissa A. Krueger
SHSabine S. Huke
Sabine S. Huke
RGRobb W. Glenny
Robb W. Glenny
Rationale: The spatial distribution of blood flow in the hearts of genetically modified mice is a phenotype of interest because derangements in blood flow may precede detectable changes in organ function. However, quantifying the regional distribution of blood flow within organs of mice is challenging because of the small organ volume and the high resolution required to observe spatial differences in flow. Traditional microsphere methods in which the numbers of microspheres per region are indirectly estimated from radioactive counts or extracted fluorescence have been limited to larger organs for 2 reasons; to ensure statistical confidence in the measured flow per region and to be able to physically dissect the organ to acquire spatial information. Objective: To develop methods to quantify and statistically compare the spatial distribution of blood flow within organs of mice. Methods and Results: We developed and validated statistical methods to compare blood flow between regions and with the same regions over time using 15-µm fluorescent microspheres. We then tested this approach by injecting fluorescent microspheres into isolated perfused mice hearts, determining the spatial location of every microsphere in the hearts, and then visualizing regional flow patterns. We demonstrated application of these statistical and visualizing methods in a coronary artery ligation model in mice. Conclusions: These new methods provide tools to investigate the spatial and temporal changes in blood flow within organs of mice at a much higher spatial resolution than currently available by other methods.

14 December 2024 in Journal of Lipid Research
Verified
Journal Article
Open access
SBShelley Barnhart
Shelley Barnhart
MSMasami Shimizu-Albergine
Masami Shimizu-Albergine
EKEyal Kedar
Eyal Kedar
VKVishal Kothari
Vishal Kothari
Baohai ShaoBaohai Shao
Baohai Shao
KBKarin E. Bornfeldt
Karin E. Bornfeldt
Long-chain acyl-CoA synthetase 1 (ACSL1) catalyzes the conversion of long-chain fatty acids to acyl-CoAs. ACSL1 is required for β-oxidation in tissues that rely on fatty acids as fuel, but no consensus exists on why ACSL1 is induced by inflammatory mediators in immune cells. We used a comprehensive and unbiased approach to investigate the role of ACSL1 induction by interferon type I (IFN-I) in myeloid cells in vitro and in a mouse model of IFN-I overproduction. Our results show that IFN-I induces ACSL1 in macrophages via its interferon-α/β receptor, and consequently that expression of ACSL1 is increased in myeloid cells from individuals with systemic lupus erythematosus (SLE), an autoimmune condition characterized by increased IFN production. Taking advantage of a myeloid cell-targeted ACSL1-deficient mouse model and a series of lipidomics, proteomics, metabolomics and functional analyses, we show that IFN-I leverages induction of ACSL1 to increase accumulation of fully saturated phosphatidic acid species in macrophages. Conversely, ACSL1 induction is not needed for IFN-I's ability to induce the prototypical IFN-stimulated protein signature or to suppress proliferation or macrophage metabolism. Loss of ACSL1 in IFN-I stimulated myeloid cells enhances apoptosis and secondary necrosis in vitro, especially in the presence of increased saturated fatty acid load, and in a mouse model of atherosclerosis associated with IFN overproduction, resulting in larger lesion necrotic cores. We propose that ACSL1 induction is a mechanism used by IFN-I to increase phosphatidic acid saturation while protecting the cells from saturated fatty acid-induced cell death.

18 September 2024 in Science Translational Medicine
Verified
Journal Article
Closed access
ZKZin Z. Khaing
Zin Z. Khaing
JLJannik Leyendecker
Jannik Leyendecker
JHJennifer N. Harmon
Jennifer N. Harmon
SSSananthan Sivakanthan
Sananthan Sivakanthan
LCLindsay N. Cates
Lindsay N. Cates
CHChristoph P Hofstetter
Christoph P Hofstetter
Traumatic spinal cord injury (tSCI) causes an immediate loss of neurological function, and the prediction of recovery is difficult in the acute phase. In this study, we used contrast-enhanced ultrasound imaging to quantify intraspinal vascular disruption acutely after tSCI. In a rodent thoracic tSCI model, contrast-enhanced ultrasound revealed a perfusion area deficit that was positively correlated with injury severity and negatively correlated with hindlimb locomotor function at 8 weeks after injury. The spinal perfusion index was calculated by normalizing the contrast inflow at the injury center to the contrast inflow in the injury periphery. The spinal perfusion index decreased with increasing injury severity and positively correlated with hindlimb locomotor function at 8 weeks after injury. The feasibility of intraoperative contrast-enhanced ultrasound imaging was further tested in a cohort of 27 patients with acute tSCI of varying severity and including both motor-complete and motor-incomplete tSCIs. Both the perfusion area deficit and spinal perfusion index were different between motor-complete and motor-incomplete patients. Moreover, the perfusion area deficit and spinal perfusion index correlated with the injury severity at intake and exhibited a correlation with extent of functional recovery at 6 months. Our data suggest that intraoperative contrast-enhanced, ultrasound-derived metrics are correlated with injury severity and chronic functional outcome after tSCI. Larger clinical studies are required to better assess the reliability of the proposed contrast-enhanced ultrasound biomarkers and their prognostic capacity.

9 January 2020 in Journal of Applied Physiology
Verified
Journal Article
Closed access
PDF file
RGRobb William Glenny
Robb William Glenny
MKMelissa A. Krueger
Melissa A. Krueger
CBChristian Bauer
Christian Bauer
RBReinhard R. Beichel
Reinhard R. Beichel
Fractal biological structures are pervasive throughout the plant and animal kingdoms with the mammalian lung being a quintessential example. The lung airway and vascular trees are generated during embryogenesis from a small set of building codes similar to Turing mechanisms that create robust trees ideally suited to their functions. While the blood flow pattern generated by these fractal trees has been shown to be genetically determined, the geometry of the trees has not. We explored a newly established repository providing high resolution bronchial trees in 3 dimensions from the 4 most commonly studied laboratory mice (B6C3F1, BALB/c, C57BL/6 and CD-1). The data fit a fractal model well for all animals with the fractal dimensions ranging from 1.54 to 1.67, indicating that the conducting airway of mice can be considered a self-similar and space filling structure. We determined that the fractal dimensions of these airway trees differed by strain but not sex, reinforcing the concept that airway branching patterns are encoded within the DNA. The observations also highlight that future study design and interpretations may need to consider differences in airway geometry between mouse strains.

28 January 2025 in The Journal of Infectious Diseases
Verified
Journal Article
Closed access
MSMichelle C Sabo
Michelle C Sabo
SMSalwa Mustafa
Salwa Mustafa
ASAparajita Saha
Aparajita Saha
BOBrenda Oyaro
Brenda Oyaro
TFTina L Fiedler
Tina L Fiedler
RMR Scott McClelland
R Scott McClelland
Background: The association between bacterial vaginosis (BV) and increased human immunodeficiency virus (HIV) acquisition risk may be related to concentrations of HIV-susceptible immune cells in the cervix. Methods: Participants (31 with BV and 30 with normal microbiota) underwent cervical biopsy at a single visit. Immune cells were quantified and sorted using flow cytometry (n = 55), localization assessed by immunofluorescence (n = 16), and function determined by bulk RNA sequencing (RNA-seq) of live CD45+ cells (n = 21). Results: Linear regression analyses demonstrated no differences in mean log2 (cells/mg tissue) between women with BV versus normal microbiota for antigen-presenting cell (APC) subtypes linked to HIV risk (including CD1a+HLA-DR+ Langerhans cells, CD11c+CD14+ dendritic cells [DCs], and CD11c+HLA-DR+ DCs) and CD4+ T cells. Women with BV had a higher median proportion of CD11c+HLA-DR+ APCs (out of total cells) in cervical epithelium (0.1% vs 0.0%; P = .03 using Mann-Whitney test). RNA-seq identified 1032 differentially expressed genes (adjusted P < .05) in CD45+ cells between women with BV versus normal microbiota. Women with BV demonstrated downregulation of pathways linked to translation, metabolism, cell stress, and immune signaling. Conclusions: BV alters immune cell localization and function; future studies are needed to address how these changes may mediate HIV acquisition risk.