Clinical Chemistry Siemens Point of Care - Urinalysis
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Clinical Chemistry 51: 2391-2395, 2005; 10.1373/clinchem.2005.054882
This Article
Right arrow Extract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (9)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Christodoulides, N.
Right arrow Articles by McDevitt, J. T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Christodoulides, N.
Right arrow Articles by McDevitt, J. T.
Related Collections
Right arrow Point-of-Care Testing
Right arrow Automation and Analytical Techniques
(Clinical Chemistry. 2005;51:2391-2395.)
© 2005 American Association for Clinical Chemistry, Inc.


Technical Briefs

Toward the Development of a Lab-on-a-Chip Dual-Function Leukocyte and C-Reactive Protein Analysis Method for the Assessment of Inflammation and Cardiac Risk

Nicolaos Christodoulides1, Pierre N. Floriano1, Shelley A. Acosta1, Karri L. Michael Ballard1, Shannon E. Weigum1, Sanghamitra Mohanty1, Priya Dharshan1, Dwight Romanovicz1 and John T. McDevitt1,2,3,a

1 Department of Chemistry & Biochemistry, and the2 Center for Nano and Molecular Science and Technology,3 Texas Materials Institute, The University of Texas at Austin, Austin, TX

aaddress correspondence to this author at: Department of Chemistry & Biochemistry, Texas Materials Institute, The University of Texas at Austin, Austin, TX 78735; fax 512-232-7052, e-mail mcdevitt{at}mail.utexas.edu

Inflammation has been identified as the underlying cause of atherosclerosis, a condition associated with the deposition of lipids in the lining of arteries, which progressively leads to acute myocardial infraction (AMI) or heart attack. Serum concentrations of markers of inflammation, including C-reactive protein (CRP), and the leukocyte count are powerful predictors for the development of coronary heart disease (1)(2)(3)(4)(5)(6)(7). In addition, AMI patients with increased CRP concentrations or leukocyte counts are at higher risk of mortality and recurrent AMI (8)(9)(10)(11)(12). The combination of these 2 biomarkers provides additive and powerful diagnostic information. In fact, people with both high leukocyte counts and high CRP concentrations exhibit a 7-fold higher risk for heart disease (7).

Although tests targeting CRP concentrations and leukocyte counts are widely available in clinical settings, they are performed separately on different instruments. Consequently, these tests require large sample volumes, additional sample preparation steps, and longer assay times. In addition, the clinical instruments and methodologies currently used to perform these tests are not suitable for point-of-care testing, such as in a doctor’s office and in the (more relevant to a heart attack setting) emergency room or ambulance. Clearly, the diagnostic and prognostic value of these biomarkers would be increased if these 2 tests could be performed concurrently on the same instrument, in a convenient, accurate, and highly accessible manner.

Previously we described studies of the design, fabrication, and testing of lab-on-a-chip (LOC) structures composed of chemically sensitized beads that are populated into etched silicon wafers with integrated fluid-handling and optical detection capabilities (13)(14)(15)(16)(17)(18)(19). These miniaturized systems have been used for the identification and quantification of electrolytes, sugars, proteins, antibodies, toxins, and biological cofactors as well as for determination of pH. In independent studies, we have defined and developed miniaturized microfluidic systems that support cellular analysis applications. These membrane-based microsystems have been demonstrated as suitable screening tools in the bioterrorism sector, as well as for measurement of CD4 cell counts for use in immune function monitoring of HIV-positive patients (20)(21).

In this study, we describe an integrated LOC assay method suitable for the concurrent measurement of CRP concentrations and leukocyte counts. This dual-function microchip system uses both bead- and membrane-based assay platforms, each of which is packaged within an integrated flow cell system. The membrane-equipped structure is dedicated to the capture and detection of blood cells, whereas the bead-equipped structure is dedicated to the capture and measurement of blood proteins. The 2 assay platforms share a common computer-controlled fluidics system and optical components, which support the fluid delivery requirements for the samples and reagents as well as enabling microscopic evaluation of the signals generated by the 2 microanalysis systems, respectively. Fluorescence signals generated on the bead and the membrane structures are visualized by a charge-coupled device (CCD) video chip along with the use of transfer optics, and specialized software provides image capture and automated data analysis capabilities (13)(14)(15)(16)(17)(18)(19)(20)(21).

Bead-based immunoassays are performed on porous agarose microspheres positioned in a microetched array of wells on a silicon wafer microchip. Depending on the application, the ~1-cm2 microchip can accommodate 3 x 3, 3 x 4, 5 x 7, and 10 x 10 array sizes. Each ~280-µm bead within the array serves as its own independent microreactor sensor, with its selectivity determined by the specificity of the capture antibody coupled to the bead. For the CRP-specific immunoassays, typically a 3 x 4 bead array is used, with 3 beads coated with antibodies irrelevant to CRP used as negative controls and 9 beads dedicated to CRP capture and detection. This bead redundancy increases the precision of the CRP measurements. A schematic illustration of the CRP immunoassay developed on the bead sensor is shown in Fig. 1A . In this assay, a rabbit CRP-specific antibody coupled to the bead captures the CRP antigen, and an AlexaFluor-488–conjugated detection antibody is used to visualize the bead-captured protein. Each assay step is followed by a wash with phosphate-buffered saline (PBS; 0.008 mol/L sodium phosphate, 0.002 mol/L potassium phosphate, 0.14 mol/L sodium chloride, 0.01 mol/L potassium chloride, pH 7.4). The low internal volumes of each bead (~20–30 nL per bead), used in conjunction with high effective flow rates (1–5 mL/min), allow the completion of highly stringent washes (>5000 effective washes per minute) that reduce nonspecific binding of antigens and detection antibody reagents. After the final wash, an image of the bead array is acquired (Fig. 1B ). Using the standard epi-illumination geometry, white light from a 100-W mercury lamp is collimated, passed through a filter to select the excitation wavelengths (centered at 480 nm with 40 nm spectral bandwidth), reflected by a dichroic mirror (505 nm long pass), and focused on the bead array by use of a 4x microscope objective (numerical aperture ~0.13). The fluorescence from the beads is collected by the microscope objective, transmitted through the dichroic mirror, passed through an emission filter (centered at 535 nm, with 50 nm spectral width), and detected by the CCD camera. The image is digitally processed and analyzed, and the signal intensity for each bead is converted into a quantitative CRP measurement with the aid of a calibration curve. The time required to process each sample as described above is ~12 min.



View larger version (36K):
[in this window]
[in a new window]
 
Figure 1. CRP and leukocyte dual-function assay: Principle and characteristics.

(A), scanning electron micrograph of the bead platform and relevant immunoschematic of the CRP assay, shown for a 3 x 3 bead array. (B), same type of bead array as in A, imaged with fluorescence microscopy. This system is suitable for a variety of diagnostic applications through the appropriate selection of capture antibodies. (C), scanning electron micrograph showing the membrane element after the processing of a whole blood sample along with the relevant immunoschematic of labeled membrane-captured leukocytes. Captured on the membrane structure is a collection of leukocytes. The much more numerous erythrocytes are absent for the most part, except for a few fragments, which are shown spanning 2 membrane pores. (D), membrane-processed whole blood sample visualized by fluorescence microscopy. The leukocytes are stained with the relevant labeled antibody. (E), correlation between the bead-array LOC structure and the standard ELISA method for CRP measurements. The dashed lines indicate the 95% confidence interval. (F), analysis range for the cell-counting application, evaluated by plotting the cell count as measured by the pixel analysis macro vs added blood volume. The leukocyte counts (WBC counts; 1 to 300 cells/FOV) increase linearly with the volume of blood delivered to the membrane. Error bars, SD. (G), inter- and intraassay precision of the cell-counting application, evaluated for 5 different flow cells. The counts obtained from the membrane method (numbers inside columns) are also correlated with flow cytometry as the comparison method. Error bars, SD.

For analysis of the leukocyte content of whole blood, a supported 13-mm track-etched polycarbonate membrane is used. Whole blood is processed and analyzed by this minianalysis system in the following manner: A sample of anticoagulated blood is fixed with 40 g/L paraformaldehyde and then incubated for 5 min with an AlexaFluor-488–conjugated anti-CD45 antibody specific for leukocytes. The mixture is then diluted with PBS and introduced into the membrane chamber by an external peristaltic pump equipped with an injection valve. Image acquisition is performed as described above for the bead-based platform. The basic methodology for this membrane separation and filtration of immunolabeled leukocytes is shown in Fig. 1CUp . Analysis of the scanning electron micrographs of the filtered whole blood reveals that the erythrocytes, with roughly the same diameter as the leukocytes, deform and pass through the 3.0-µm pores of the membrane, whereas leukocytes are efficiently captured on the membrane. Therefore, despite the overabundance of erythrocytes in whole blood, with the appropriate selection of membrane structure, as used here, it is possible to separate and isolate the leukocytes from whole blood. The removal of the erythrocytes and the use of a fluorescent antibody stain specific for leukocytes allow efficient detection of captured leukocytes with minimal background (Fig. 1DUp ). Interestingly, the anti-CD45 antibody used to stain leukocytes identifies 2 main populations of cells captured on the membrane. This result is consistent with the expected pattern of leukocyte staining, in which CD45 expression on lymphocytes is stronger than that observed on granulocytes (22).

Having defined LOC methods suitable for the quantification of protein and cells, we next aimed to demonstrate the efficacy of these approaches on real human samples with values that spanned the physiologically relevant ranges for these 2 types of tests. The results of experiments with the bead-based CRP assay demonstrated a wide detection range suitable for the measurement of CRP (1–10 000 ng/L). With the appropriate choice of assay conditions and sample dilution or use of beads coated with various concentrations of capture antibody, this range can be extended to >100 000 ng/L, which is relevant to its utility in patients with AMI (23). We compared this CRP assay with a commercial high-sensitivity CRP ELISA (Fig. 1EUp ). CRP values from 9 human blood samples evaluated in parallel by ELISA and the bead-array method showed excellent agreement (r = 0.995).

To evaluate the linearity and analytical range of the membrane leukocyte assay, we delivered increasing volumes of a CD45-stained whole blood suspension to a membrane-equipped LOC structure. After a thorough rinse with PBS, images of leukocytes on the membrane were captured for 3 different fields of view (FOV). A custom pixel analysis algorithm was used to identify and count individual leukocytes based on size, shape, and fluorescence intensity thresholding within the Image J environment (24). As shown in Fig. 1FUp , leukocyte counts increased in a linear fashion with increasing volume of blood delivered to the flow cell [R2 = 0.999; data shown as the mean (SD) counts from 3 FOV]. The intraassay CV of the counts measured in different FOV was 5%–15% and was strongly dependent on the volume of blood delivered on the membrane. Optimum precision with the chosen flow cell structure was achieved for volumes of blood between 0.81 and 14.3 µL, with too many cells on the membrane contributing to counting errors because of cell overlap and too few cells reducing the precision of the measured counts.

To evaluate the interassay precision of the leukocyte assay, the equivalent of 2.1 µL of stained whole blood was delivered to a membrane-equipped flow cell. For healthy donors with 5000–11 000 leukocytes/µL, this volume of blood includes 10 500–23 100 leukocytes. With the optical instrumentation used in the membrane microchip system described here, 1 FOV represents an area of 0.60 mm2. Given that the total surface area of the membrane used for cell capture is 78.54 mm2, the current membrane element yields ~130 FOV. Consequently, although the entire sample volume yields 10 500–23 100 leukocytes, the single FOV collects the fluorescence signature of ~80–176 cells. This analysis, of course, assumes that the cells become evenly distributed across the entire membrane. Images from 5 nonoverlapping FOV are captured to obtain the preliminary mean leukocyte count. This preliminary count is converted to an absolute count after application of a scaling factor that incorporates the volume of blood delivered to the flow cell as well as the number of FOV covering the membrane region onto which leukocytes are captured. We repeated this experiment 5 times, using different flow cells. The interassay CV of the counts from flow cell to flow cell was 4.3%. Importantly, as shown in Fig. 1GUp , the leukocyte counts achieved by the membrane counting method were in excellent agreement (95%) with those determined by flow cytometry, which requires a larger blood sample (100 µL) and an additional processing step to lyse the erythrocytes. The excellent agreement between the 2 methods strongly suggests that the above assumption on even cell distribution is accurate with respect to the conditions and the microchip design used here.

In summary, recent reports have concluded that the combined measurement of CRP concentrations and leukocyte counts provides one of the most accurate methods available, to date, to assess an individual’s risk for heart disease. This information is useful both in the context of future risk profiling for apparently healthy individuals as well as for prognosis of individuals with recent occurrences of AMI. Likewise, the availability of convenient methods to measure these 2 disparate quantities in the same setting would be of great importance in the management of cardiac disease, the foremost health issue in developed countries. In this report, we demonstrate the capacity of miniaturized LOC methods to perform both protein and cellular analyses of bodily fluids. Although further work is required to produce practical instrumentation to support these tests, the basic methodologies described here are suitable for full automation, and they allow for multiplexing of related groups of analytes, thus promoting a more comprehensive approach to disease risk assessment and diagnosis. The use of bead- and membrane-based assay platforms and the implementation of dual-function LOC structures may aid in the development of a flexible miniaturized total analysis system to be used in point-of-care settings. Larger scale studies are currently in progress using the newly fashioned miniaturized analysis system to test the inflammatory marker CRP and leukocyte counts in healthy and heart disease patients.


Acknowledgments

The research described here was supported by the National Institutes of Health (Grant U01 DE015017-03), the Welch Foundation (Grant F-1193), Philip Morris USA Inc., and Philip Morris International.


References

  1. Ridker PM, Cushman M, Stampfer MJ, Tracy RP, Hennekens CH. Inflammation, aspirin, and the risk of cardiovascular disease in apparently healthy men. N Engl J Med 1997;336:973-979.[Abstract/Free Full Text]
  2. Rifai N, Ridker PM. High sensitivity C-reactive protein. A novel and promising marker of coronary heart disease. Curr Cardiol Rep 1999;1:99-104.[Medline] [Order article via Infotrieve]
  3. Ridker PM. C-Reactive protein—a simple test to help predict risk of heart attack and stroke. Circulation 2003;108:E81-E85.
  4. Albert MA, Glynn RJ, Ridker PM. Plasma concentration of C-reactive protein and the calculated Framingham coronary heart disease risk score. Circulation 2003;108:161-165.[Abstract/Free Full Text]
  5. Friedman GD, Klatsky AL, Siegelaub AB. The leukocyte count as a predictor of myocardial infarction. N Engl J Med 1974;290:1275-1278.
  6. Hoffman M, Blum A, Baruch R, Kaplan E, Benjamin M. Leukocytes and coronary heart disease. Atherosclerosis 2004;172:1-6.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  7. Margolis KL, Manson JE, Greenland P, Rodabough RJ, Bray PF, Safford M, et al. Leukocyte count as a predictor of cardiovascular events and mortality in postmenopausal women. Arch Intern Med 2005;165:500-508.[Abstract/Free Full Text]
  8. Furman MI, Becker RC, Yarzebski J, Savegeau J, Gore JM, Goldberg RJ. Effect of elevated leukocyte count on in-hospital mortality following acute myocardial infarction. Am J Cardiol 1996;78:945-948.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  9. Furman MI, Gore JM, Anderson FA, Budaj A, Goodman SG, Avezum A, et al. Elevated leukocyte count and adverse hospital events in patients with acute-coronary syndromes: findings from the Global Registry of Acute Coronary Events (GRACE). Am Heart J 2004;147:42-48.[CrossRef][Medline] [Order article via Infotrieve]
  10. Ridker PM, Rifai N, Pfeffer MA, Sacks FM, Moye LA, Goldman S, et al. Inflammation, pravastatin, and the risk of coronary events after myocardial infarction in patients with mean cholesterol levels. Circulation 1998;98:839-844.[Abstract/Free Full Text]
  11. Yip HK, Wu CJ, Chang HW, Yang CH, Yeh KH, Chua S, et al. Levels and values of serum high-sensitivity C-reactive protein within 6 hours after the onset of acute myocardial infarction. Chest 2004;126:1417-1422.[Abstract/Free Full Text]
  12. Grau AJ, Boddy AW, Dukovic DA, Buggle F, Lichy C, Brandt T, et al. Leukocyte count as an independent predictor of recurrent ischemic events. Stroke 2004;35:1147-1152.[Abstract/Free Full Text]
  13. Lavigne JJ, Savoy S, Clevenger MB, Ritchie JE, McDoniel B, Yoo SJ, et al. Solution-based analysis of multiple analytes by a sensor array: toward the development of an "electronic tongue". J Am Chem Soc 1998;120:6429-6430.[CrossRef]
  14. Goodey A, Lavigne JJ, Savoy SM, Rodriguez MD, Curey T, Tsao A, et al. Development of multianalyte sensor arrays composed of chemically derivatized polymeric microspheres localized in micromachined cavities. J Am Chem Soc 2001;123:2559-2570.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  15. Christodoulides N, Tran M, Floriano PN, Rodriguez M, Goodey A, Ali M, et al. A microchip-based multianalyte assay system for the assessment of cardiac risk. Anal Chem 2002;74:3030-3036.[Medline] [Order article via Infotrieve]
  16. Ali MF, Kirby R, Goodey AP, Rodriguez MD, Ellington AD, Neikirk DP, et al. DNA hybridization and discrimination of single-nucleotide mismatches using chip-based microbead arrays. Anal Chem 2003;75:4732-4739.[Medline] [Order article via Infotrieve]
  17. Wiskur SL, Floriano PN, Anslyn EV, McDevitt JT. A multicomponent sensing ensemble in solution: differentiation between structurally similar analytes. Angew Chem Int Ed Engl 2003;42:2070-2072.[Medline] [Order article via Infotrieve]
  18. McCleskey SC, Floriano PN, Wiskur SL, Anslyn EV, McDevitt JT. Citrate and calcium determination in flavored vodkas using artificial neural networks. Tetrahedron 2003;59:10089-10092.[CrossRef]
  19. Christodoulides N, Mohanty S, Miller CS, Langub MC, Floriano PN, Dharshan P, et al. Application of microchip assay system for the measurement of C-reactive protein in human saliva. Lab Chip 2004;5:261-269.
  20. Floriano PN, Christodoulides N, Romanovicz DK, Bernard B, Simmons GW, Cavell M, et al. Membrane-based on-line optical analysis system for rapid detection of bacteria and spores. Biosens Bioelectron 2005;20:2079-2088.[Medline] [Order article via Infotrieve]
  21. Rodriguez WR, Christodoulides N, Floriano PN, Graham S, Mohanty S, Dixon M, et al. A microchip CD4 counting method for HIV monitoring in resource-poor settings. PLoS Med 2005;2:e182.[Medline] [Order article via Infotrieve]
  22. Dalchau R, Kirkley J, Fabre JW. Monoclonal-antibody to a human leukocyte-specific membrane glycoprotein probably homologous to the leukocyte-common (L-C) antigen of the rat. Eur J Immunol 1980;10:737-744.[Web of Science][Medline] [Order article via Infotrieve]
  23. Berton G, Cordiano R, Palmieri R, Pianca S, Pagliara V, Palatini P. C-Reactive protein in acute myocardial infarction: association with heart failure. Am Heart J 2003;145:1094-1101.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  24. Rasband W. Image J, image processing and analysis in Java 2005 National Institutes of Health Bethesda, MD. .



The following articles in journals at HighWire Press have cited this article:


Home page
Clin. Chem.Home page
Edited on behalf of the National Institute of Biom, C. P. Price, and L. J. Kricka
Improving Healthcare Accessibility through Point-of-Care Technologies
Clin. Chem., September 1, 2007; 53(9): 1665 - 1675.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Extract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (9)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Christodoulides, N.
Right arrow Articles by McDevitt, J. T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Christodoulides, N.
Right arrow Articles by McDevitt, J. T.
Related Collections
Right arrow Point-of-Care Testing
Right arrow Automation and Analytical Techniques


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS