Output list
Conference proceeding
Serogroup-specific interactions of lipopolysaccharides with supported lipid bilayer assemblies
Published 01/01/2017
BIOPHYSICS, BIOLOGY AND BIOPHOTONICS II: THE CROSSROADS, 10075, 100750L - 100750L-11
Lipopolysaccharide (LPS) is an amphiphilic lipoglycan that is the primary component of the outer membrane of Gramnegative bacteria. Classified as a pathogen associated molecular pattern (PAMPs), LPS is an essential biomarker for identifying pathogen serogroups. Structurally, LPS is comprised of a hydrophobic lipophilic domain that partitions into the outer membrane of Gram-negative bacteria. Previous work by our team explored biophysical interactions of LPS in supported lipid bilayer assemblies (sLBAs), and demonstrated LPS-induced hole formation in DOPC lipid bilayers. Here, we have incorporated cholesterol and sphingomyelin into sLBAs to evaluate the interaction of LPS in a more physiologically relevant system. The goal of this work was to determine whether increasing membrane complexity of sLBAs, and changing physiological parameters such as temperature, affects LPS-induced hole formation. Integrating cholesterol and sphingomyelin into sLBAs decreased LPS-induced hole formation at lower concentrations of LPS, and bacterial serotype contributed to differences in hole formation as a response to changes in temperature. We also investigated the possibility of LPS-induced hole formation in cellular systems using the cytokine response in both TLR4 (+)/(-) murine macrophages. LPS was presented to each cell line in murine serum, delipidated serum, and buffer (i.e. no serum), and the resulting cytokine levels were measured. Results indicate that the method of LPS presentation directly affects cellular cytokine expression. The two model systems presented in this study provide preliminary insight into the interactions of LPS in the host, and suggest the significance of amphiphile-carrier interactions in regulating host-pathogen biology during infection.
Conference proceeding
Published 01/01/2015
FRONTIERS IN BIOLOGICAL DETECTION: FROM NANOSENSORS TO SYSTEMS VII, 9310, 931004 - 931004-8
Shiga toxin-producing Escherichia coli (STEC) poses a serious threat to human health through the consumption of contaminated food products, particularly beef and produce. Early detection in the food chain, and discrimination from other non-pathogenic Escherichia coli (E. coli), is critical to preventing human outbreaks, and meeting current agricultural screening standards. These pathogens often present in low concentrations in contaminated samples, making discriminatory detection difficult without the use of costly, time-consuming methods (e.g. culture). Using multiple signal transduction schemes (including novel optical methods designed for amphiphiles), specific recognition antibodies, and a waveguide-based optical biosensor developed at Los Alamos National Laboratory, we have developed ultrasensitive detection methods for lipopolysaccharides (LPS), and protein biomarkers (Shiga toxin) of STEC in complex samples (e.g. beef lysates). Waveguides functionalized with phospholipid bilayers were used to pull down amphiphilic LPS, using methods (membrane insertion) developed by our team. The assay format exploits the amphiphilic biochemistry of lipoglycans, and allows for rapid, sensitive detection with a single fluorescent reporter. We have used a combination of biophysical methods (atomic force and fluorescence microscopy) to characterize the interaction of amphiphiles with lipid bilayers, to efficiently design these assays. Sandwich immunoassays were used for detection of protein toxins. Biomarkers were spiked into homogenated ground beef samples to determine performance and limit of detection. Future work will focus on the development of discriminatory antibodies for STEC serotypes, and using quantum dots as the fluorescence reporter to enable multiplex screening of biomarkers.
Conference proceeding
Novel optical strategies for biodetection
Published 09/11/2013
BIOSENSING AND NANOMEDICINE VI, 8812, 881209 - 881209-7
Although bio-detection strategies have significantly evolved in the past decade, they still suffer from many disadvantages. For one, current approaches still require confirmation of pathogen viability by culture, which is the ‘gold-standard’ method, and can take several days to result. Second, current methods typically target protein and nucleic acid signatures and cannot be applied to other biochemical categories of biomarkers (e.g.; lipidated sugars). Lipidated sugars (e.g.; lipopolysaccharide, lipoarabinomannan) are bacterial virulence factors that are significant to pathogenicity. Herein, we present two different optical strategies for biodetection to address these two limitations. We have exploited bacterial iron sequestration mechanisms to develop a simple, specific assay for the selective detection of viable bacteria, without the need for culture. We are currently working on the use of this technology for the differential detection of two different bacteria, using siderophores. Second, we have developed a novel strategy termed ‘membrane insertion’ for the detection of amphiphilic biomarkers (e.g. lipidated glycans) that cannot be detected by conventional approaches. We have extended this technology to the detection of small molecule amphiphilic virulence factors, such as phenolic glycolipid-1 from leprosy, which could not be directly detected before. Together, these strategies address two critical limitations in current biodetection approaches. We are currently working on the optimization of these methods, and their extension to real-world clinical samples.
Conference proceeding
Published 01/01/2013
2013 IEEE 14TH INTERNATIONAL SUPERCONDUCTIVE ELECTRONICS CONFERENCE (ISEC)
Ultra-sensitive magnetic detection and imaging of tagged tissue cells using superparamagnetic nanoparticles is a developing technique for disease diagnosis, e.g. early cancer diagnostics. Superconducting quantum interference devices (SQUIDs) are very suitable for such sensitive measurements. Super-paramagnetic relaxometry is used for detection of targeted cells with high specificity, as only bound nanoparticles are detected via Neel relaxation. By combining relaxometry with ultra-low field magnetic resonance imaging (ULF MRI), using the same instrument, the tagged area can be imaged to provide anatomical information and bounds for the inverse problem, as the same magnetic particles work as MRI contrast agents. The combination of ULF MRI and relaxometry could provide both accurate localization and cell count of the tagged tissue, which would enable detection and localization of cancerous tissue at a very early disease stage. We describe our design of such a combined SQUID-based instrument, and present our first experimental results on phantoms.