JBO Letters

Dynamic noninvasive monitoring of renal function in vivo by fluorescence lifetime imaging

[+] Author Affiliations
Reece J. Goiffon, Walter J. Akers, Mikhail Y. Berezin, Hyeran Lee

Washington University School of Medicine, Department of Radiology, St. Louis, Missouri 63110

Samuel Achilefu

Washington University School of Medicine, Department of Radiology, St. Louis, Missouri 63110

Washington University School of Medicine, Department of Biochemistry and Molecular Biophysics, St. Louis, Missouri 63110

J. Biomed. Opt. 14(2), 020501 (April 13, 2009). doi:10.1117/1.3095800
History: Received August 08, 2008; Revised November 26, 2008; Accepted January 10, 2009; Published April 13, 2009
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* Tel. 314-362-8599; Fax: 314-747-5191; E-mail: achilefus@mir.wustl.edu.

Kidneys normally filter the blood of excess salts and metabolic products, such as urea, while retaining plasma proteins. In diseases such as multiple myeloma and diabetes mellitus, the renal function is compromised and protein escapes into the urine. In this study, we present the use of fluorescence lifetime imaging (FLI) to image excess serum protein in urine (proteinuria). The near-infrared fluorescent dye LS-288 has distinct lifetimes when bound to protein versus free in solution, providing contrast between the protein-rich viscera and the mostly protein-free bladder. FLI with LS-288 in mice revealed that fluorescence lifetime (FLT) differences in the bladder relative to surrounding tissues was due to the fractional contributions of the bound and unbound dye molecules. The FLT of LS–288 decreased in the case of proteinuria while fluorescence intensity was unchanged. The results show that FLI can be useful for the dynamic imaging of protein-losing nephropathy due to diabetes mellitus and other renal diseases and suggest the potential use of the FLI to distinguish tumors from fluid-filled cysts in the body.

Figures in this Article

Proteinuria (PU), the presence of abnormally high levels of protein in urine, is a marker of chronic kidney disease (CKD), which can lead to end-stage renal disease.1 A recent study has shown that 11% of Americans over 20years of age have CKD and 63% of these have microalbuminuria.2 Early detection of kidney dysfunction can be useful in treating diabetes mellitus, urinary tract infections, polycystic kidney disease, autoimmune diseases, transplant rejection,3 and acute toxicity.4

Nuclear imaging has been a mainstay of urology for years but remains expensive, hazardous, and time consuming. Optical imaging using near-infrared (NIR) fluorescent contrast agents is an alternative and a highly sensitive method for imaging living systems. For example, indocyanine green has been used to assess liver function, breast cancer detection, or lymph node mapping.56 Although fluorescence intensity measurements report molecular processes with high sensitivity, the fluorescence lifetime (FLT) of dyes provides complementary information that is less dependent on the dye concentration. In particular, fluorescence lifetime imaging (FLI) can provide a wide range of information about the microenvironment of the dye molecules such as pH, ionic concentration, oxygen saturation, and temperature.79 Previously, we demonstrated that FLT of polymethine dyes are sensitive to medium polarity and may change upon binding to proteins.10 Urine in the bladder is a unique environment in the abdomen because it is largely free of protein in healthy individuals. Therefore, dyes that have distinct FLTs in protein-rich and free (aqueous) environments could serve as dynamic FLT reporters of proteinuria.

In this study, we demonstrate that FLI can be used to continuously image the functional status of the kidneys and bladder by using a protein-sensitive NIR fluorescent dye, LS-288.11 Our results show that changes in the fractional contributions of two distinct FLTs of LS-288 correlate with free and protein bound states, thereby providing dynamic FLI of PU in mice.

All animal studies were performed in compliance with the Washington University in St. Louis School of Medicine Animal Studies Committee requirements using male NCR nude mice. A 100μL injection of 1.0mgmL bovine serum albumin (BSA) in PBS was administered transcutaneously into the bladder in mice to simulate PU. The control group did not receive an injection to prevent contamination of urine with protein. All mice received 6nmol of LS-288 (Fig. 1)11 via the lateral tail vein prior to imaging. Mouse images were acquired with a time-domain diffuse optical imaging system (eXplore OptixART, Montreal, Canada) and data were analyzed as described previously.7,12 Bladder regions were identified by gating to an appropriate monoexponential FLT to remove pixels surrounding the bladder region (below 1.0ns for control and 1.1ns for PU mice). Biexponential FLT maps for bladder and control areas were generated for quantification.

Graphic Jump LocationF1 :

Structure of LS-288 used as fluorescence lifetime reporter in the bladder.

Dynamic Bladder Imaging in Real Time

We used LS-288 for this study because it has distinctly different FLTs when free versus interacting with proteins in solution.13 Using a series of FLT map images, the change in bladder size was visualized over time (Fig. 2 and 1). FLI provided excellent contrast between the low-protein urine in the bladder and the surrounding protein-rich tissues. In addition to imaging the bladder and abnormalities in the region, this method could be used to monitor urine flow rate or frequency of urination without invasive procedures such as surgery or urethral catheterization.

Fluorescence Lifetime Data Analysis

A single exponential fitting of the TPSF decay provides a single value τ¯, which can be considered a weighted average of the values obtained through biexponential fit corresponding to the unbound (τ1) and protein-bound (τ2) fractions (f1 and f2, respectively) of LS-288 [Eq. 1].13 The measured values of τ1 and τ2 for LS-288 remained relatively constant after intravenous administration in living mice despite a large change in τ¯ (Table 1). Dye molecules in the blood and other tissues are largely protein bound (τ¯τ2), with only slight contribution from τ1, as demonstrated by FLT gating of fluorescence intensity values for each FLT from the biexponential model mapped over the bladder (Fig. 3). Thus, the single exponential fitting of FLI data can be used to simplify analysis and data representation [Fig. 3]. FLT of the unbound LS-288 shown in Table 1 is closer to the lifetime of the dye in water (0.44ns).14Display Formula

1τ¯=f1τ1+f2τ2.

Table Grahic Jump Location
FLT values from bladder and adjacent body regions of interest (ROIs) in normal and PU mice. Single exponential fitting of the fluorescence decay profiles (τ¯) from control and PU bladder ROIs demonstrated significant difference, while τ1 and τ2 were not different between sets (p>0.01). This shows that it is possible to detect abnormally high levels of protein in the urine by determining only τ¯, which corresponds to the fractional contribution of bound and unbound dye molecules (f1f2).
Table Footer NoteDenotes p<0.01
Graphic Jump LocationF3 :

Fluorescence lifetime-gated imaging of mouse bladders. Histograms show the relative emission intensities of τ1=0.595±0.092ns and τ2=1.197±0.040ns from biexponential fitting of fluorescence decay profiles in (a) control and (b) PU mice (n=4). The difference in τ¯ is due to the change in contribution from unbound (τ1) relative to bound (τ2). (c) τ¯ varies by 0.34ns from edge to center of a 144-mm2 bladder despite relatively constant values of (d) τ1 and (e) τ2. These analyses demonstrate that the change in τ¯ is due to change in the fractional intensity contribution from bound and unbound dye, not by change in the values of τ1 or τ2.

Detection of Proteinuria In Vivo

Variations in τ¯ values are expected between the individual PU mice because each mouse is hydrated differently, has a different metabolic status, and urinates at different times. The BSA solution concentration of 1.0mgmL used in this study corresponds with macroalbuminuria,15 but the combination of continuous glomerular filtration, varying initial urine volume, and sporadic urination allows for a wider range of albumin levels to be examined. This is reflected in the PU results for individual mice, and despite the variability between each of them, the PU τ¯ values are significantly different from those of the control mice. In both treatment sets, the bladder was distinguishable from the body by using τ¯. Statistical analysis shows that there is a significant difference between PU and control bladders and between both bladder ROI sets and their respective body ROIs (Table 1).

NIR fluorescent dye-mediated FLI is an exciting optical imaging method with a great potential to unravel physiological and molecular processes in cells and living organisms. Particularly, the early detection of nephropathy due to diabetes mellitus and other causes would improve treatment for patients. Our results show that the FLI of mouse bladder with LS-288 allows for dynamic imaging of bladder physiology and proteinuria. Because the bladder is a superficial organ in humans, clinical translation of the FLI method using a mouse model of proteinuria described herein is feasible. The FLI strategy is applicable to other organs penetrable by NIR light to improve diagnostic information. For example, the distinct FLT behavior of LS-288 in different environments suggests the potential use of FLI to distinguish tumors from fluid-filled cysts in the body or to identify solid cancer in the bladder.

This study was funded, in part, by the National Institutes of Health (Grants No. R01 CA109754, No. R01 EB1430, and No. U01 HL080729).

Locatelli  F., , Vecchio  L. D., , and Pozzoni  P., “ The importance of early detection of chronic kidney disease. ,” Nephrol. Dial Transplant.  0931-0509 17,  (Suppl 11), 2–7  ((2002)).
Coresh  J., , Astor  B. C., , Greene  T., , Eknoyan  G., , and Levey  A. S., “ Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. ,” Am. J. Kidney Dis..  0272-6386 41, , 1–12  ((2003)).
Vassalotti  J. A., , Stevens  L. A., , and Levey  A. S., “ Testing for chronic kidney disease: a position statement from the National Kidney Foundation. ,” Am. J. Kidney Dis..  0272-6386 50, , 169–180  ((2007)).
Vaidya  V. S., , Ferguson  M. A., , and Bonventre  J. V., “ Biomarkers of acute kidney injury. ,” Annu. Rev. Pharmacol. Toxicol..  0362-1642 48, , 463–493  ((2008)).
Giepmans  B. N., , Adams  S. R., , Ellisman  M. H., , and Tsien  R. Y., “ The fluorescent toolbox for assessing protein location and function. ,” Science.  0036-8075 312, , 217–224  ((2006)).
Rao  J., , Dragulescu-Andrasi  A., , and Yao  H., “ Fluorescence imaging in vivo: recent advances. ,” Curr. Opin. Biotechnol..  0958-1669 18, , 17–25  ((2007)).
Bloch  S., , Lesage  F., , McIntosh  L., , Gandjbakhche  A., , Liang  K., , and Achilefu  S., “ Whole-body fluorescence lifetime imaging of a tumor-targeted near-infrared molecular probe in mice. ,” J. Biomed. Opt..  1083-3668 10, , 054003  ((2005)).
Elson  D., , Requejo-Isidro  J., , Munro  I., , Reavell  F., , Siegel  J., , Suhling  K., , Tadrous  P., , Benninger  R., , Lanigan  P., , McGinty  J., , Talbot  C., , Treanor  B., , Webb  S., , Sandison  A., , Wallace  A., , Davis  D., , Lever  J., , Neil  M., , Phillips  D., , Stamp  G., , and French  P., “ Time-domain fluorescence lifetime imaging applied to biological tissue. ,” Photochem. Photobiol. Sci..  1474-905X 3, , 795–801  ((2004)).
Suhling  K., , French  P. M., , and Phillips  D., “ Time-resolved fluorescence microscopy. ,” Photochem. Photobiol. Sci..  1474-905X 4, , 13–22  ((2005)).
Berezin  M. Y., , Lee  H., , Akers  W., , and Achilefu  S., “ Near infrared dyes as lifetime solvatochromic probes for micropolarity measurements of biological systems. ,” Biophys. J..  0006-3495 93, , 2892–2899  ((2007)).
Lee  H., , Mason  J. C., , and Achilefu  S., “ Heptamethine cyanine dyes with a robust C-C bond at the central position of the chromophore. ,” J. Org. Chem..  0022-3263 71, , 7862–7865  ((2006)).
Akers  W., , Lesage  F., , Holten  D., , and Achilefu  S., “ In vivo resolution of multiexponential decays of multiple near-infrared molecular probes by fluorescence lifetime-gated whole-body time-resolved diffuse optical imaging. ,” Mol. Imaging.  1535-3508 6, , 237–246  ((2007)).
Akers  W. J., , Berezin  M. Y., , Lee  H., , and Achilefu  S., “ Predicting in vivo fluorescence lifetime behavior of near-infrared fluorescent contrast agents using in vitro measurements. ,” J. Biomed. Opt..  1083-3668 13, , 054042  ((2008)).
Lee  H., , Berezin  M. Y., , Henary  M., , Strekowski  L., , and Achilefu  S., “ Fluorescence lifetime properties of near-infrared cyanine dyes in relation to their structures. ,” J. Photochem. Photobiol., A.  1010-6030 200, , 438–444  ((2008)).
de Jong  P. E., and Curhan  G. C., “ Screening, monitoring, and treatment of albuminuria: public health perspectives. ,” J. Am. Soc. Nephrol..  1046-6673 17, , 2120–2126  ((2006)).
© 2009 Society of Photo-Optical Instrumentation Engineers

Citation

Reece J. Goiffon ; Walter J. Akers ; Mikhail Y. Berezin ; Hyeran Lee and Samuel Achilefu
"Dynamic noninvasive monitoring of renal function in vivo by fluorescence lifetime imaging", J. Biomed. Opt. 14(2), 020501 (April 13, 2009). ; http://dx.doi.org/10.1117/1.3095800


Figures

Graphic Jump LocationF1 :

Structure of LS-288 used as fluorescence lifetime reporter in the bladder.

Graphic Jump LocationF3 :

Fluorescence lifetime-gated imaging of mouse bladders. Histograms show the relative emission intensities of τ1=0.595±0.092ns and τ2=1.197±0.040ns from biexponential fitting of fluorescence decay profiles in (a) control and (b) PU mice (n=4). The difference in τ¯ is due to the change in contribution from unbound (τ1) relative to bound (τ2). (c) τ¯ varies by 0.34ns from edge to center of a 144-mm2 bladder despite relatively constant values of (d) τ1 and (e) τ2. These analyses demonstrate that the change in τ¯ is due to change in the fractional intensity contribution from bound and unbound dye, not by change in the values of τ1 or τ2.

Tables

Table Grahic Jump Location
FLT values from bladder and adjacent body regions of interest (ROIs) in normal and PU mice. Single exponential fitting of the fluorescence decay profiles (τ¯) from control and PU bladder ROIs demonstrated significant difference, while τ1 and τ2 were not different between sets (p>0.01). This shows that it is possible to detect abnormally high levels of protein in the urine by determining only τ¯, which corresponds to the fractional contribution of bound and unbound dye molecules (f1f2).
Table Footer NoteDenotes p<0.01

References

Locatelli  F., , Vecchio  L. D., , and Pozzoni  P., “ The importance of early detection of chronic kidney disease. ,” Nephrol. Dial Transplant.  0931-0509 17,  (Suppl 11), 2–7  ((2002)).
Coresh  J., , Astor  B. C., , Greene  T., , Eknoyan  G., , and Levey  A. S., “ Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. ,” Am. J. Kidney Dis..  0272-6386 41, , 1–12  ((2003)).
Vassalotti  J. A., , Stevens  L. A., , and Levey  A. S., “ Testing for chronic kidney disease: a position statement from the National Kidney Foundation. ,” Am. J. Kidney Dis..  0272-6386 50, , 169–180  ((2007)).
Vaidya  V. S., , Ferguson  M. A., , and Bonventre  J. V., “ Biomarkers of acute kidney injury. ,” Annu. Rev. Pharmacol. Toxicol..  0362-1642 48, , 463–493  ((2008)).
Giepmans  B. N., , Adams  S. R., , Ellisman  M. H., , and Tsien  R. Y., “ The fluorescent toolbox for assessing protein location and function. ,” Science.  0036-8075 312, , 217–224  ((2006)).
Rao  J., , Dragulescu-Andrasi  A., , and Yao  H., “ Fluorescence imaging in vivo: recent advances. ,” Curr. Opin. Biotechnol..  0958-1669 18, , 17–25  ((2007)).
Bloch  S., , Lesage  F., , McIntosh  L., , Gandjbakhche  A., , Liang  K., , and Achilefu  S., “ Whole-body fluorescence lifetime imaging of a tumor-targeted near-infrared molecular probe in mice. ,” J. Biomed. Opt..  1083-3668 10, , 054003  ((2005)).
Elson  D., , Requejo-Isidro  J., , Munro  I., , Reavell  F., , Siegel  J., , Suhling  K., , Tadrous  P., , Benninger  R., , Lanigan  P., , McGinty  J., , Talbot  C., , Treanor  B., , Webb  S., , Sandison  A., , Wallace  A., , Davis  D., , Lever  J., , Neil  M., , Phillips  D., , Stamp  G., , and French  P., “ Time-domain fluorescence lifetime imaging applied to biological tissue. ,” Photochem. Photobiol. Sci..  1474-905X 3, , 795–801  ((2004)).
Suhling  K., , French  P. M., , and Phillips  D., “ Time-resolved fluorescence microscopy. ,” Photochem. Photobiol. Sci..  1474-905X 4, , 13–22  ((2005)).
Berezin  M. Y., , Lee  H., , Akers  W., , and Achilefu  S., “ Near infrared dyes as lifetime solvatochromic probes for micropolarity measurements of biological systems. ,” Biophys. J..  0006-3495 93, , 2892–2899  ((2007)).
Lee  H., , Mason  J. C., , and Achilefu  S., “ Heptamethine cyanine dyes with a robust C-C bond at the central position of the chromophore. ,” J. Org. Chem..  0022-3263 71, , 7862–7865  ((2006)).
Akers  W., , Lesage  F., , Holten  D., , and Achilefu  S., “ In vivo resolution of multiexponential decays of multiple near-infrared molecular probes by fluorescence lifetime-gated whole-body time-resolved diffuse optical imaging. ,” Mol. Imaging.  1535-3508 6, , 237–246  ((2007)).
Akers  W. J., , Berezin  M. Y., , Lee  H., , and Achilefu  S., “ Predicting in vivo fluorescence lifetime behavior of near-infrared fluorescent contrast agents using in vitro measurements. ,” J. Biomed. Opt..  1083-3668 13, , 054042  ((2008)).
Lee  H., , Berezin  M. Y., , Henary  M., , Strekowski  L., , and Achilefu  S., “ Fluorescence lifetime properties of near-infrared cyanine dyes in relation to their structures. ,” J. Photochem. Photobiol., A.  1010-6030 200, , 438–444  ((2008)).
de Jong  P. E., and Curhan  G. C., “ Screening, monitoring, and treatment of albuminuria: public health perspectives. ,” J. Am. Soc. Nephrol..  1046-6673 17, , 2120–2126  ((2006)).

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