Detecting the Hidden Properties of Immunological Data and Predicting the Mortality Risks of Infectious Syndromes.

BACKGROUND: To extract more information, the properties of infectious disease data, including hidden relationships, could be considered. Here, blood leukocyte data were explored to elucidate whether hidden information, if uncovered, could forecast mortality. METHODS: Three sets of individuals (n = 132) were investigated, from whom blood leukocyte profiles and microbial tests were conducted (i) cross-sectional analyses performed at admission (before bacteriological tests were completed) from two groups of hospital patients, randomly selected at different time periods, who met septic criteria [confirmed infection and at least three systemic inflammatory response syndrome (SIRS) criteria] but lacked chronic conditions (study I, n = 36; and study II, n = 69); (ii) a similar group, tested over 3 days (n = 7); and (iii) non-infected, SIRS-negative individuals, tested once (n = 20). The data were analyzed by (i) a method that creates complex data combinations, which, based on graphic patterns, partitions the data into subsets and (ii) an approach that does not partition the data. Admission data from SIRS+/infection+ patients were related to 30-day, in-hospital mortality. RESULTS: The non-partitioning approach was not informative: in both study I and study II, the leukocyte data intervals of non-survivors and survivors overlapped. In contrast, the combinatorial method distinguished two subsets that, later, showed twofold (or larger) differences in mortality. While the two subsets did not differ in gender, age, microbial species, or antimicrobial resistance, they revealed different immune profiles. Non-infected, SIRS-negative individuals did not express the high-mortality profile. Longitudinal data from septic patients displayed the pattern associated with the highest mortality within the first 24 h post-admission. Suggesting inflammation coexisted with immunosuppression, one high-mortality sub-subset displayed high neutrophil/lymphocyte ratio values and low lymphocyte percents. A second high-mortality subset showed monocyte-mediated deficiencies. Numerous within- and between-subset comparisons revealed statistically significantly different immune profiles. CONCLUSION: While the analysis of non-partitioned data can result in information loss, complex (combinatorial) data structures can uncover hidden patterns, which guide data partitioning into subsets that differ in mortality rates and immune profiles. Such information can facilitate diagnostics, monitoring of disease dynamics, and evaluation of subset-specific, patient-specific therapies.

Local mobility in lipid domains of supported bilayers characterized by atomic force microscopy and fluorescence correlation spectroscopy.

Fluorescence correlation spectroscopy (FCS) is used to examine mobility of labeled probes at specific sites in supported bilayers consisting of 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) lipid domains in 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC). Those sites are mapped beforehand with simultaneous atomic force microscopy and submicron confocal fluorescence imaging, allowing characterization of probe partitioning between gel DPPC and disordered liquid DOPC domains with corresponding topography of domain structure. We thus examine the relative partitioning and mobility in gel and disordered liquid phases for headgroup- and tailgroup-labeled GM1 ganglioside probes and for headgroup- and tailgroup-labeled phospholipid probes. For the GM1 probes, large differences in mobility between fluid and gel domains are observed; whereas unexpected mobility is observed in submicron gel domains for the phospholipid probes. We attribute the latter to domain heterogeneities that could be induced by the probe. Furthermore, fits to the FCS data for the phospholipid probes in the DOPC fluid phase require two components (fast and slow). Although proximity to the glass substrate may be a factor, local distortion of the probe by the fluorophore could also be important. Overall, we observe nonideal aspects of phospholipid probe mobility and partitioning that may not be restricted to supported bilayers.

Mixing small volumes for continuous high-throughput flow cytometry: performance of a mixing Y and peristaltic sample delivery.

BACKGROUND: Online mixing for continuous high-throughput flow cytometry has not been previously described. A simple, general high-throughput method for mixing and delivery of submicroliter volumes in laminar flow at low Reynolds numbers would be widely useful. MATERIALS AND METHODS: We describe a micromixing approach that is compatible with commercial autosamplers, flow cytometry, and other detection schemes that require mixing of components that have been introduced into laminar flow. The scheme is based on a previous approach to high-throughput flow cytometry (HyperCyt, Kuckuck et al.: Cytometry 44:83-90, 2001). We showed that samples from multiwell plates that have been picked up by an autosampler can be separated during delivery by the small air bubbles introduced during the transit of the autosampler probe from well to well. Here, a particle sample flowing continuously is brought together in a Y with reagent samples from wells, which have been separated by bubbles. RESULTS: In the effluent stream, the particles and reagents are mixed, most likely as a result of peristaltic action, and reagents from individual wells can be resolved. The sample volumes that can be mixed with this technology are submicroliter in volume, and samples can be mixed at rates up to at least 100/samples per minute. With the current device, carryover between samples can be eliminated if the mixing system is flushed with several volumes of buffer. The anticipated throughput for screening is expected to be at least 20 samples per minute. CONCLUSIONS: The high-throughput approach and peristaltic mixing in HyperCytTM serve to integrate autosamplers with submicroliter detection volumes for analysis in flow cytometry or in microfluidic channels.

Detection of epitope-tagged proteins in flow cytometry: fluorescence resonance energy transfer-based assays on beads with femtomole resolution.

Epitope tagging of expressed proteins is a versatile tool for the detection and purification of the proteins. This approach has been used in protein-protein interaction studies, protein localization, and immunoprecipitation. Among the most popular tag systems is the FLAG epitope tag, which is recognized by three monoclonal antibodies M1, M2, and M5. We describe novel approaches to the detection of epitope-tagged proteins via fluorescence resonance energy transfer on beads. We have synthesized and characterized biotinylated and fluorescein-labeled FLAG peptides and examined the binding of FLAG peptides to commercial streptavidin beads using flow cytometric analysis. A requirement of assay development is the elucidation of parameters that characterize the binding interactions between component systems. We have thus compiled a set of Kd values determined from a series of equilibrium binding experiments with beads, peptides, and antibodies. We have defined conditions for binding biotinylated and fluoresceinated FLAG peptides to beads. Site occupancies of the peptides were determined to be on the order of several million sites per bead and Kd values in the 0.3-2.0 nM range. The affinity for antibody attachment to peptides was determined to be in the low nanomolar range (less than 10 nM) for measurements on beads and solution. We demonstrate the applicability of this methodology to assay development, by detecting femtomole amounts of N-terminal FLAG-bacteria alkaline phosphatase fusion protein. These characterizations form the basis of generalizable and high throughput assays for proteins with known epitopes, for research, proteomic, or clinical applications.

Peptides, antibodies, and FRET on beads in flow cytometry: A model system using fluoresceinated and biotinylated beta-endorphin.

BACKGROUND: Particulate surfaces such as beads are routinely used as platforms for molecular assembly for fundamental and practical applications in flow cytometry. Molecular assembly is transduced as the direct analysis of fluorescence, or as a result of fluorescence resonance energy transfer. Binding of fluorescent ligands to beads sometimes alters their emission yield relative to the unbound ligands. Characterizing the physical basis of factors that regulate the fluorescence yield of bound fluorophores (on beads) is a necessary step toward their rational use as mediators of numerous fluorescence based applications. METHODS: We have examined the binding between two biotinylated and fluoresceinated beta-endorphin peptides and commercial streptavidin beads using flow cytometric analysis. We have analyzed the assembly between a specific monoclonal antibody and an endorphin peptide in solution using resonance energy transfer and compared the results on beads in flow cytometry using steady-state and time-resolved fluorescence. RESULTS: We have defined conditions for binding biotinylated and fluoresceinated endorphin peptides to beads. These measurements suggest that the peptide structure can influence both the intensity of fluorescence and the mode of peptide binding on the bead surface. We have defined conditions for binding antibody to the bead using biotinylated protein A. We compared and contrasted the interactions between the fluoresceinated endorphin peptide and the rhodamine- labeled antibody. In solution we measure a K(d) of <38 nM by resonance energy transfer and on beads 22 nM. DISCUSSION: Some issues important to the modular assembly of a fluorescence resonance energy transfer (FRET) based sensing scheme have been resolved. The affinity of peptides used herein is a function of their solubility in water, and the emission intensity of the bound species depends on the separation distance between the fluorescein and the biotin moiety. This is due to the quasi-specific quenching interaction between the fluorescein and a proximal binding pocket of streptavidin. Detection of antibodies in solution and on beads either by FRET or capture of fluorescent ligands by dark antibodies subsequently enables the determination of K(d) values, which indicate agreement between solution and flow cytometric determinations.