Introduction

Brown adipose tissue (BAT), a specialized tissue involved in thermogenesis in mammals, is very important for maintaining energy balance in the whole body through dissipating large amounts of chemical/food energy as heat1,2,3. The most distinctive features of BAT include a large number of mitochondria, abundant uncoupling protein-1 (UCP-1) and numerous small oil droplets in a single cell, as well as highly vascularized vessel structures4,5,6,7,8. These characteristics strongly indicate that BAT plays an important role in metabolism and energy expenditure.

In humans, BAT is more abundant in embryonic and early postnatal stages, but is drastically reduced or was considered to have no physiological relevance in adult humans. However, its importance has recently “re-emerged” in new studies. Positron Emission Tomography (PET) imaging with 18F-FDG has shown that BAT is still present in adults in the upper chest, neck and in other locations4,5,6,9,10,11,12,13,14,15. Cypess et al. imaged and analyzed 3,640 patients and showed that BMI (body mass index) inversely correlated with the amount of brown adipose tissue, suggesting that BAT is an important target in obesity and diabetes4. Other studies also demonstrated that both BMI and body fat percentage had a significant negative correlation with BAT, whereas resting metabolic rate correlated positively with BAT9,16. Therefore, manipulating BAT mass, which includes browning of WAT, BAT transplantation and BAT mass promotion by drug treatment6,17,18,19,20,21,22,23,24, is a very attractive approach for obesity and diabetes therapies.

“Browning” is a process of inducing “brown fat-like” changes in white adipose tissue15,19,20,22,23,25,26. The appearances of multilocular and UCP1-positive fat cells within WAT are the characteristic changes during browning. Recent reports indicated that physical exercise could lead to browning of WAT in animal studies27,28. Moreover, several studies have shown that the β3-adrenoceptor agonist (CL316, 243), PPAR-gamma ligand (rosiglitazone), miRNAs and genetic manipulation of PRDM16, BMP7 and PGC-1α could induce a “browning” process19,20,21,26,28,29,30,31. These results suggest the potential benefits of browning for obesity treatment. In addition, there are indications that BAT plays significant roles in ageing16,32,33, infection34, inflammation35, cardiovascular diseases, cancer, neurodegenerative diseases and other disorders6,32,36,37,38.

Currently, the most widely used method for BAT imaging is PET imaging with 18F-FDG. However, BAT imaging with 18F-FDG requires pretreatment activation (such as cold stress or norepinephrine treatment) and most likely reflects the degree of activation, but not the amount of BAT mass4,5,37,39,40,41. A PET imaging probe for BAT thermogenesis has been reported42. MRI and CT have also been used for imaging BAT37,43,44,45, CEST MRI and MRS have been applied for measuring the white and brown tissue fraction in mice46 and hyperpolarized Xenon MRI also can be used to visualize BAT47. Compared to PET and MRI imaging, NIR Fluorescence imaging is significantly more cost-efficient and is particularly suitable for preliminary in vivo screening in small animals. Frangioni et al. reported that BAT could be imaged through tissue perfusion with a NIR dye. However, this method is also activation-dependent48. Rice et al. recently reported that micelle loaded with SRFluor680 dye could be used to visualize BAT49, but there was no application of the micelle for monitoring BAT mass change and “browning” process. In addition, Azhdarinia et al. reported that a peptide with a fluorescent tag that could be used for BAT imaging; however it is most likely not suitable for monitoring “browning”50. Reliable and easily synthesized NIR imaging probes to assess BAT mass and monitor browning are still very desirable.

Mouse interscapular BAT is an ideal target for Near-infrared fluorescence imaging due to the following reasons41: 1) the location of BAT in mice is unique since it is situated away from liver, heart and stomach and thus there is less signal interference from these large organs (Fig. 1a); 2) BAT location is shallow, which is perfect for the whole–body fluorescence imaging; 3) BAT is a whole mass organ; 4) BAT has a unique triangular physical shape which is easy to distinguish from other tissues (Fig. 1a). All of these features make BAT images extremely easy to recognize.

Figure 1
figure 1

Top-down whole-organism screening of a library of 38 fluorescent dyes.

(a) Schematic diagrams of a top-down (left) and a bottom-up screening (right). (b) Photographs of the locations of interscapular brown adipose tissue (BAT) and white adipose tissue (WAT). In the intact mouse (left), ROI1 (region of interest) in red dashed triangle represents BAT location and ROI2 (blue circle) represents the areas of BAT, WAT and adjacent non-adipose tissue area. The WAT that covers BAT can be seen after skin removal (middle) and the triangular shape of BAT (black arrow) can be clearly seen after the removal of skin and WAT (right). (c) Quantitative analysis of the top-down screening results. In the graph, each number represents a dye and each dye has three fluorescence signal readouts. The quantification was conducted using the ratio of the average fluorescence intensity of ROI1/ROI2 and the threshold was set at 1.10 (red dashed line). Four hits (black arrow) were selected for re-testing validation. (d) Representative near-infrared (NIR) fluorescence images of the screened dyes. CRANAD-2, CRANAD-3, LDS 722 and Rhodamine 640 showed apparent signal at the interscapular BAT area. Nile blue showed negative contrast for BAT. (e) Chemical structure of CRANAD-2 and -3.

In this report, considering fluorescent compounds as “visible drugs”, we conducted a top-down imaging screening of 38 fluorescent dyes and found that curcumin analogues CRANAD-2 and -351,52,53 could highlight the interscapular BAT. However, the low BAT selectivity of CRANAD-2 and -3 indicated that further lead optimization was needed. To this end, we designed CRANAD-29 by increasing the hindrance of the lead probe to increase the facilitated uptake and thus to increase the BAT selectivity. Our data indicated that CRANAD-29 had excellent BAT selectivity over WAT and could be used for imaging BAT and monitoring browning of WAT.

Results and Discussion

Discovery of the lead probes through a top-down screening

Conventionally, a bottom-up cell- or protein-based testing/screening has been the most used approach for developing imaging probes54. However, this approach requires a known ligand for a specific biomarker as the starting point. Nonetheless, known imaging ligands for BAT mass are few42,50. To solve this problem, we conducted a top-down whole-organism screen (Fig. 1a) with fluorescent dyes, in which live animals were used as the screening platform instead of artificially engineered cells or isolated proteins. The top-down approach has already been used for drug screening in c. elegans and zebrafish55,56,57. However, to the best of our knowledge, this approach has not been investigated with mammals (nude mice). Considering imaging probes as “visible drugs”, this top-down approach could provide very clear information about the accumulation and location of the tested probes and thus could effectively eliminate false positive hits.

We have collected 38 fluorescent dyes from commercial resources and from our laboratory. We selected dyes with the excitation range of 550–745 nm, the emission range of 600–840 nm and with molecular weights less than 700 Da, except Cy5.5 (all of the dyes are listed at the end of SI Fig. 1 legend). The library was screened by intravenous tail injection of compounds into nude mice (10 μg/mouse). Each dye was imaged with three optimized excitation/emission filter-pairs and images at one hour after injection were acquired. As described in the Experimental Section, we screened the dyes based on the ROI (region of interest) ratios between BAT (ROI1) and BAT + WAT (ROI2) (Fig. 1b, left panel) using three excitation/emission pairs. The ratio was calculated based on the average intensities of ROI1 and ROI2 (R(BAT) = ROI1/ROI2). We selected the dyes with the mean ratio R(BAT) > 1.10 (n = 3) and with visible contrast around the interscapular BAT as preliminary positive hits (Fig. 1c).

By calculating the mean R(BAT) of the dyes, we found that ratios of CRANAD-2 and CRANAD-3 were the highest (1.28 and 1.32 respectively) followed by LDS722 (1.13) and Rhodamine 640 (1.15) (Fig. 1c). By reviewing the visible contrast from the images, we found that CRANAD-2 and -3 (Fig. 1d and chemical structure in Fig. 1e) provided the best contrast and clear triangular contour of interscapular BAT, while LDS722 and Rhodamine-640 showed weak contrast and no clear triangular contours (Fig. 1d). In addition, Phenoxazine 660 also showed a weak visible contrast, but its R(BAT) was less than 1.10 (SI Fig. 1–3). Images of all 38 dyes tested in vivo are presented in SI Fig. 1.

Negative contrast agents from the screening

Interestingly, when we carefully surveyed the images from the 38 tested dyes, we found that Nile blue provided a negative contrast at the interscapular BAT site (Fig. 1c,d) (R(BAT) = 0.98). Further cell studies with differentiated 3T3-L1 cells suggested that Nile blue could label adipose cells and stain the oil droplets. However, we found that the emission of Nile blue was significantly blue-shifted and the oil droplet staining could be observed from a 500–550 nm channel while Nile blue’s emission in PBS was around 700 nm. This result is consistent with reports, in which Nile blue and Nile red were used for staining oil droplets58,59. The significant emission blue-shift in oil droplets could explain why Nile blue provided a negative BAT contrast.

Characterization of the lead probes

After the discovery of the lead probes CRANAD-2 and -3, we first estimated the probe’s selectivity for BAT over WAT. In this regard, we performed a stepwise dissection and imaging to track the source of the fluorescence contrast at the interscapular site. Skin and the thin WAT layer that covers BAT were first removed and then BAT was dissected and NIR images were captured at each step. Once the skin and WAT were removed, both lead probes showed a significant decrease in signal, indicating that certain contrast originated from skin and WAT (SI Fig. 2a,b). However, fluorescence signals were higher for CRANAD-2 and -3 when BAT was present compared to the signals when it was dissected (SI Fig. 2a,b), indicating that the two probes were able to label BAT. We roughly estimated the signal contribution from BAT using the ratio of fluorescence signals acquired after (F(BAT)) and before (F(intact)) the first step of dissecting skin and WAT. Here we define BAT selectivity: SBAT = F(BAT)/F(intact) and F(intact) is the fluorescent signal from the interscapular BAT area before dissection and F(BAT) is the fluorescent signal from BAT after the removal of skin and WAT that covers BAT. We found that SBAT for CRANAD-2 was about 0.26 and 0.51 for CRANAD-3, indicating that the selectivity of these two probes for BAT was low. These data strongly suggested that further optimization of the lead probes was necessary. Other fluorescent dyes that showed weak BAT contrasts (Fig. 1c,d) were examined following the same dissection procedure as well; however our data showed that the weak signals did not originated from BAT, suggesting none of the dyes could be considered lead probes for BAT (SI Fig. 2c and SI Fig. 3).

We next investigated the time course of CRANAD-2 and -3 accumulation in BAT area. As seen in SI Fig. 4a–b, the uptake of CRANAD-2 reached its peak 120 minutes after injection, was detectable for at least 180 minutes and was cleared by 720 minutes. Similarly, the signal of CRANAD-3 reached the uptake peak at around one hour and then gradually washed out (SI Fig. 4c-d). Accumulation of CRANAD-2 and -3 in BAT cells was further confirmed with ex vivo histology of the dissected BAT slices. Fluorescence microscopy indicated that both CRANAD-2 and CRANAD-3 labeled oil droplets in brown adipose cells. The shape and size of CRANAD-2 and -3 stained oil droplets resembled those obtained with the gold standard H&E staining (SI Fig. 4e,f). However, we failed to obtain high-resolution images with the BAT tissue using a conventional microscope due to fast fading of the fluorescent signal and the merge of the oil droplets under excitation light.

To further confirm the capacity of CRANAD-2 and CRANAD-3 for staining oil droplets, we incubated our compounds with differentiated 3T3-L1 adipose cells, which were induced from preadipocytes7,8,60. This cell line has been widely used for studies of both WAT7,8,60 and BAT, since these cells can be induced into both tissues60,61,62,63. In our report, 3T3-L1 cells are only used as an in vitro model for confirming staining of oil droplets and for limited uptake mechanism studies. Live cell confocal images indicated that the two probes were able to clearly label oil droplets in BAT cells and that the droplet size was similar to that in our ex vivo studies with CRANAD-2 and -3 (data not shown). However, when we tried to obtain high magnification images (40X), we encountered same difficulties as ex vivo tissue imaging, due to the problems of fast signal fading and oil droplets merging. Fortunately, we found that a two-photon microscope was suitable for imaging CRANAD-2 in live cells. Two-photon imaging with 3T3-L1 adipose cells clearly demonstrated that CRANAD-2 accumulated in the oil droplets (Fig. 2a). For further validation, we used BODIPY493/505, a standard fluorescent dye for oil droplets60, for co-staining live adipose cells with CRANAD-2. We achieved an excellent co-localization of the two dyes in oil droplets (Fig. 2b). CRANAD-3 showed similar results (data not shown). Taken together, our ex vivo and in vitro cell imaging confirmed that the lead probe CRANAD-2 accumulated in oil droplets.

Figure 2
figure 2

Two-photon cell imaging of 3T3-L1 adipose cells.

(a) CRANAD-2 (left: red—CRANAD-2 signal, middle: green – autofluorescence of the cells, right: merged). (b) CRANDAD-2 + BODIPY493 (left: CRANAD-2 signal, middle: BODIPY493 signal, right: merged). Scale bar: 50 micron.

Optimization of the lead probes

Although CRANAD-2 was able to provide a certain contrast for BAT in vivo, our stepwise dissection results indicated that their selectivity for BAT was poor (SI Fig. 2), which was probably due to the fast simple diffusion. In addition, their excitation and emission wavelengths were still shorter than that of an ideal NIR imaging probe (both excitation and emission >640 nm are ideal)64. To optimize the lead compounds, we first conducted limited uptake mechanism studies with CRANAD-2 (see details in the Supplemental information section and SI Fig. 5 and SI Fig. 6) and found that the uptake of CRANAD-2 was probably a combination of fast simple diffusion and facilitated transporting via CD36/FAT (fatty acid translocase). For lead probe optimization, we aimed to extend their excitation/emission and reduce the fast simple diffusion, thereby increasing the facilitated uptake and BAT selectivity of the designed probe.

For small molecules, hydrophobicity and hindrance are two important factors for facilitated diffusion across the cell membrane65,66. The lower hydrophobicity, the higher possibility of facilitated diffusion the molecule has. Compared to CRANAD-2, CRANAD-3 showed higher BAT selectivity (SBAT, 0.51 vs 0.26). Obviously, CRANAD-3 has lower hydrophobicity than CRANAD-2 and this could probably explain the better BAT selectivity of CRANAD-3. To further optimize CRANAD-3, we synthesized its analogues CRANAD-19 and -22, which have a polar morpholine moiety. CRANAD-22 could highlight BAT in vivo in mice (SI Fig. 7a); however the BAT selectivity of CRANAD-22 was not improved (data not shown), indicating lead optimization based on CRANAD-3 failed.

The uptake curve of CRANAD-2 in 3T3-L1 cells showed a very quick uptake phase within one minute (SI Fig. 5a, right panel), which was probably due to the fast simple diffusion that significantly contributed to the poor selectivity of CRANAD-2 for BAT in vivo. It is known that bulky compound have less tendency for simple diffusion65,66,67,68. We hypothesized that the poor BAT selectivity of CRANAD-2 could be significantly improved via increasing the molecule’s hindrance. It has been reported that Julolidine rings could significantly increase the hindrance69. In addition, replacement of N,N-dialkylamino-phenyl moiety with a julolidine ring could extend excitation and emission wavelengths69. Based on these facts and the structure of CRANAD-2, we designed CRANAD-29 to minimize simple diffusion via increasing the hindrance of the molecule and to extend the excitation/emission (Fig. 3a). CRANAD-29 was synthesized through a two-step procedure (Fig. 3a), in which an intermediate CRANAD-41 was purified first and then reacted with the corresponding aldehyde to give CRANAD-29. We found that this probe had significantly longer excitation (640 nm) and emission (720 nm) (Fig. 3b). Two-photon imaging with differentiated 3T3-L1 cells clearly indicated that CRANAD-29 accumulated in the oil droplets (Fig. 3c). We compared the uptake of CRANAD-29 in 3T3-L1 cells before and after differentiation. As expected, CRANAD-29 showed no apparent uptake in undifferentiated cells over the time course of the study (SI Fig. 8a, left panel), indicating no significant simple diffusion. Indeed, its uptake in differentiated cells was much slower than CRANAD-2 and reached its plateau around 90 minutes (SI Fig. 8a, middle panel), indicating the contribution from simple diffusion was minimized. It is known that facilitated diffusion can be significantly inhibited when the cells were fixed70. Indeed, the uptake of CRANAD-29 was reduced 70% when the differentiated 3T3-L1 cells were fixed with glutaraldehyde (SI Fig. 8a, right panel), suggesting CRANAD-29 was primarily transported via the facilitated transporting. Moreover, similar to CRANAD-2, the uptake of CRANAD-29 could be significantly reduced by triglyceride, indicating that CRANAD-29 transport was probably related to CD36 (SI Fig. 8b,c). Additionally, we found that the uptake of CRANAD-29 could be significantly reduced by Hexarelin, a CD36 specific ligand71,72 (SI Fig. 8d). This data further indicated that the uptake of CRANAD-29 could be related to CD36 facilitated transporting. CD36 is highly expressed on the surface of adipose cells and endothelial cells of capillaries in adipose tissue73,74,75,76. BAT is highly vascularized and has abundant capillaries, while the number of vessels and capillaries in WAT is significantly lower. This means that a higher CD36 specificity of CRANAD-29 in combination with lower fast simple diffusion could lead to a higher BAT selectivity for this probe.

Figure 3
figure 3

Lead optimization and in vivo NIR imaging.

(a) The structure and synthesis of CRANAD-29. (b) Excitation and emission spectra of CRANAD-29. (c) Two-photon microscopic imaging of 3T3-L1 cells with CRANAD-29 (left: red—CRANAD-29 signal, middle: green – autofluorescence of the cells, right: merged). The images clearly demonstrated that CRANAD-29 was accumulated in the oil droplets. Scale bar: 50 micron. (d) Representative in vivo NIR image of a CRANAD-29 injected mouse. The two lobes of the interscapular BAT can been clearly seen. (e) Stepwise dissection and validation of BAT signal after CRANAD-29 injection. There was no significant signal decrease after skin and WAT removal (middle), while the signal disappeared after BAT removal (right). (f) Comparison of F(BAT)/F(intact) ratio for CRANAD-2, -3 and -29. The ratio for CRANAD-29 was much higher than that for CRANAD-2 and -3, indicating that the selectivity of BAT over WAT was significantly improved after the lead optimization.

Although our data indicated that the uptake of CRANDAD-2 and -29 could be significantly suppressed by triglyceride and the facilitated diffusion via CD36 was likely involved, other transporters such as FABP4, GPIHBP1, Mfge8 and caveolin-1 could also be engaged in this process77,78,79.

As expected, in vivo imaging with CRANAD-29 showed excellent contrast and a very clear contour of BAT at the interscapular site (Fig. 3d). In addition, the two lobes of the interscapular BAT can be clearly seen. Remarkably, after analyzing the fluorescence intensity of the signals from the step-wise dissection experiment, we found that CRANAD-29 had excellent selectivity towards BAT over WAT (Fig. 3e). As predicted, CRANAD-29 showed much better BAT selectivity over WAT than CRANAD-2 and -3 (Fig. 3f). We noted that the fluorescence signal after skin and WAT removal was even higher than that of the intact animal (Fig. 3e,f), which is probably due to less light scattering and higher BAT exposure once skin and WAT were removed. In addition, we observed a “spider” shape that was highlighted by a fluorescent signal after the BAT removal (Fig. 3e, right panel). However, it is not clear whether the “spider” shape consisted of stretched brown adipose tissue.

To further validate the capacity of CRANAD-29 for BAT labeling, ex vivo NIR imaging and histological microscopic imaging with CRANAD-29 was conducted. NIR imaging showed that CRANAD-29 had clear BAT selectivity over WAT (SI Fig. 9a). Microscopic images indicated that CRANAD-29 was capable of labeling BAT cells and each cell contained multiple CRANAD-29-stained oil droplets (SI Fig. 9b). Gold standard H&E staining also provided similar images (SI Fig. 9c). A time course study indicated that the uptake of CRANAD-29 reached its plateau approximately 2 hours after probe injection (SI Fig. 9d). We also optimized the injection dose of CRANAD-29 and found that the fluorescence signal reached its plateau at 0.4 mg/kg (SI Fig. 10). In the following studies, a 0.4 mg/kg dose was used. In addition, bio-distribution studies of CRANAD-29 indicated that interscapular BAT had the highest uptake (SI Fig. 11a).

For the above reasons, we selected CRANAD-29 as the imaging probe for our proof-of-concept applications described below.

Imaging applications of CRANAD-29

To demonstrate the feasibility of CRANAD-29 for monitoring BAT mass change during diabetes development, we utilized a widely used streptozotocin (STZ)-induced type 1 diabetes model. Several studies have reported that BAT mass is dramatically reduced after STZ treatment18,80,81,82. We also found that after seven days of STZ treatment, interscapular BAT was significantly diminished and this change was evident even from the regular photographic images (SI Fig. 11b). After CRANAD-29 injection, we found that the fluorescence signal from the diabetic mice was significantly lower than that from the control group, reflecting significant BAT mass decrease after STZ treatment (Fig. 4a-b). We found an excellent correlation between dissected BAT mass and fluorescence signal in STZ-treated animals and normal animals (SI Fig. 11c). These results indicate that fluorescence imaging using CRANAD-29 could be used to report on the relative change of BAT mass.

Figure 4
figure 4

Application of CRANAD-29 for monitoring BAT mass change and BAT activation.

(a) Representative NIR images of control mice (top) and mice after STZ-treatment (bottom). (b) Quantitative analysis of the fluorescence signals in (a). The signal from STZ-induced diabetic mice was significantly lower than that from control mice. (c) Representative NIR images of control mice (top) and mice after cold exposure (bottom). (d) Quantitative analysis of the fluorescence signals in (c). The signal from mice exposed to cold stress was significantly higher than that of control mice, indicating that CRANAD-29 could be used for monitoring BAT activation.

BAT could be activated under various conditions, including short cold exposure9,83. In this report, we investigated whether CRANAD-29 could be used to monitor BAT activation under these conditions. Animals that were subjected to 2 hours of cold exposure displayed 1.65-, 1.59- and 1.53-fold higher signal after CRANAD-29 administration than the control group at 1-, 2- and 4-hours post probe injection, indicating that CRANAD-29 could be used for monitoring BAT activation (Fig. 4c,d). Although research groups used different protocols for cold stimulating BAT, the detected increase after the cold activation from CRANAD-29 was higher than other NIRF dyes. For instance, IR786 showed only about a 1.4-fold increase48, while CRANAD-29 showed a 1.65-fold increase. Micelle containing SRFluoro680 showed insignificant difference before and after the cold stimulation. However, it is not feasible to compare our NIRF results with PET imaging with 18F-FDG because different groups reported significantly different increases after cold treatment39,84.

Browning of white adipose tissue could be achieved through several approaches, including small molecule stimulation such as β3-adrenoceptor agonist (CL316,243), PPAR-gamma ligand (rosiglitazone), treatment with hormones and cytokines and genetic manipulation19,20,21,26,29,85. It has been reported that CL316,243 could induced acute BAT activation with short treatment48 and browning with chronic treatment19,20,21,26,29,85. As a proof-of-concept, in this report, we used CL316,243 to treat mice for establishing the browning model. After 12 days of CL316,243 injection, we found the signal of CRANAD-29 was significantly higher around the inguinal subcutaneous WAT in the treated group than that of the control group (Fig. 5a,b). This result was coherent with UCP-1 expression and H&E staining results (Fig. 5c,d). The UCP-1 mRNA level was 7.9-fold higher in the treated mice than that of the control group (Fig. 5c). H&E staining showed cells with multilocular lipid droplets in the sWAT slice of the treated mice (Fig. 5d). In addition, we observed a slightly higher fluorescence signal from the interscapular BAT area in the treated group than that of the control group (SI Fig. 12). Our data suggested that CRANAD-29 could be used for monitoring the browning process.

Figure 5
figure 5

Application of CRANAD-29 for monitoring the browning of sWAT.

(a) Representative NIR images of a control mouse (left) and a mouse after 12-day CL 316,243 treatment (right) at 4 hours post CRANAD-29 injection. (b) Quantitative analysis of the fluorescence signals at 1, 2 and 4 hours post CRANAD-29 injection (Note that different ROI sizes were used for sWAT in Fig. 5 and iBAT in Fig. 4). (c) UCP-1 expression in sWATs of CL 316,243 treated mice and control mice. (d) H&E staining of sWAT slices of a CL 316,243-treated mouse (right) and a control mouse (left). Black arrows indicated the areas containing multilocular fat cells. Top row: low resolution (10 x), scale bar: 200 micron, bottom row: high resolution (40 x), scale bar: 100 micron.

It is known that short treatment with stimulators such as Norepinephrine and cold always induce BAT activation, while BAT mass change and browning are normally due to chronic drug treatment such as CL316,243. Therefore, although CRANAD-29 can be used for monitoring both activation and BAT mass change, it should have the capability to differentiate these effects under proper experimental conditions. Our data indicated that CRANAD-29 could be used for monitoring browning; however, the exact mechanism is not clear. Recent evidences showed that browning of WAT could induce vascularization in WAT1,86,87,88 and this could be one of the possible explanations for CRANAD-29′s capability of monitoring browning.

Summary

In summary, we demonstrated the utility of curcumin-based probes for in vivo NIR fluorescence imaging of BAT and browning of sWAT. Through the optimization of the lead probes via increasing the stereo hindrance, we have successfully devised CRANAD-29 as a highly BAT selective imaging probe, which could be used for monitoring BAT mass change, BAT activation and browning of sWAT. Since these probes could be easily adapted for labeling with radioactive isotopes, clinical translation of our approach is feasible and will be pursued in the near future.

Methods

Fluorescent dyes were purchased from Exciton Inc. (Dayton, OH) and Invitrogen. The reagents used for the synthesis were purchased from Aldrich and used without further purification. Column chromatography was performed on silica gel (SiliCycle Inc., 60 Å, 40–63 mm) slurry packed into glass columns. 1H, 13C NMR spectra were recorded at 500 MHz and 125 MHz respectively and reported in ppm downfield from tetramethylsilane. Fluorescence studies were carried out using a F-4500 Fluorescence Spectrophotometer (Hitachi). Mass spectra were obtained at Harvard University, Department of Chemistry Instrumentation Facility. All animal experimental procedures were approved by the Institutional Animal Care and Use Committee (IACUC) at Massachusetts General Hospital and carried out in accordance with the approved guidelines. Microscopic images were acquired with Nikon Eclipse 50i microscope. Two-photon imaging was performed on a two-photon microscope (Prairie Technologies) equipped with a 20x water immersion objective (N.A. 1.0, Zeiss). In vivo NIR imaging was performed using the IVIS®Spectrum animal imaging system (Caliper LifeSciences, Perkin Elmer, Hopkinton, MA) and data analysis was conducted using LivingImage® 4.2.1 software.

Top-down whole organism screening

Nude mice (nu/nu COX7) were purchased from Massachusetts General Hospital and Balb/c mice were purchased from Jackson Laboratory. Dye stock solutions were prepared in DMSO. The final injection solutions (0.1 mg/ml) were freshly prepared in a mixed solution of 15% DMSO, 15% Cremophor EL and 70% saline. Nude mice were injected with a 100 μL dye solution via tail vein. For each imaging session, mice were anesthetized with a mixture of oxygen and isoflurane for 5 minutes and then positioned in the imaging chamber of IVIS Spectrum whole body imaging system (PerkinElmer, Hopkinton, MA). Images were acquired at one-hour post injection using sequence imaging with three excitation/emission filter pairs for each dye.

Hits selection

Hits from cell- or protein-based screening are usually selected by setting a certain threshold. In the case of our top-down imaging screening, we used two methods (threshold and visible contrast) to select hits. We first selected three images obtained with three excitation/emission pairs for each dye. These ex/em pairs were selected from the closest excitation and emission wavelengths of the tested dyes. For instance, 605/660 nm, 605/680 nm and 640/680 nm were selected for image acquisition of Nile blue (625/660 nm). The quantification of contrast for each image was calculated as a ratio of two ROIs (region of interest). ROI1 reflected the average signal from interscapular BAT and ROI2 was the average signal of the area that included BAT and white adipose tissue (WAT) around the interscapular site (Fig. 1a, left). We used the averaged fluorescent signal of ROI instead of the total signal, because the total signal depends on the area size of ROI, whereas the averaged signal reflects the density of signal. The ratio of ROI1/ROI2 (R(BAT)) could reflect the signal/noise ratio of the tested probe and could also reflect the selectivity of the probe for BAT over WAT. For each dye, three ROI1/ROI2 ratios obtained with the three filter pairs were calculated. The mean of the ratios was used as the threshold. If the mean ratio was >1.10, the dye was selected as a potential positive hit (Fig. 1c). Since the contrast of a dye in the top-down screening is in the visible range, we also tested the visible contrast around the interscapular BAT area for the hits with a mean R(BAT) >1.10. If both mean ratio and the visible contrast were positive, then the hit was subjected to the re-testing procedure to validate its reliability as described below.

Re-testing of the hits and stepwise dissection

CRANAD-2, -3, LDS 722 and Rhodamine 640 were subjected to re-test by repeating the above imaging procedure. Images were acquired one hour after probe injection. Animals were then sacrificed, followed by a two-step dissection. The first step was to remove skin and WAT and the second step was to remove BAT at the interscapular site. NIR images were captured at each step.

Ex vivo histological imaging

The above-dissected BAT was fixed with 4% formalin at 4°C overnight and then embedded in OCT. BAT tissue was cut into 7 micron thick slices, washed with PBS buffer and co-stained with DAPI (Vectra Shield, Vector Lab, Burlingame, CA). Images were acquired with fast exposure to capture the dye signal in the oil droplets. Note, we experienced some difficulties in capturing images for high magnification, probably due to very fast bleaching of the dye under microscopic imaging and the merging of the oil droplets to form bigger oil droplets.

Two-photon imaging for 3T3-L1 cells

Fibroblast 3T3-L1 cells were differentiated following the protocol provided by Zenbio, Inc. (protocol No. ZBM0009.02). Ten microliters of CRANAD-2 (250 μM in DMSO) was added to the differentiated cells (1.0 ml). Cells were imaged after 10 min of incubation. A 940 nm laser was first used to capture an image for CRANAD-2 in 570-620 nm channel (Prairie Two-photon microscope, Middleton, WI). Next, the laser was tuned to 750 nm to capture autofluorescence of the cells to outline cell morphology.

For triglyceride competition, stock solutions of CRANAD-2 (250 μM) and triglyceride (5 mM) in DMSO were prepared. Before imaging, 10 μl of the stock solution was added to the cells.

IVIS imaging of 3T3-L1 cells with CRANAD-2

To a 6-well plate seeded with preadipocytes or differentiated adipocytes, a 10μL solution of CRANAD-2 (250 μM in DMSO) was added. The plate was subjected to imaging using IVIS imaging system with Ex = 605 nm, Em = 660 nm before and after addition of CRANAD-2. It was not necessary to wash or fix the cells before each imaging session, because CRANAD-2 or its analogues showed weak fluorescence in the medium, but their fluorescence was significantly increased once they entered into the hydrophobic oil droplets. For triglyceride competition, the same protocol for two-photon imaging was used. The images were acquired at 20 min after addition of CRANAD-2. Studies were performed in triplicate.

Synthesis of CRANAD-19, -22, -29 and -41

These compounds were prepared according to our previous reported procedures51,89. Briefly, the 2,2-difluoro-1,3-dioxaboryl-pentadione crystals (0.075 g, 0.5 mmol) were dissolved in acetonitrile (1.5 ml), followed by the additions of acetic acid (0.1 ml), tetrahydroisoquinoline (0.02 ml, 0.15 mmol) and aromatic aldehyde (1.0 mmol). The resulted solution was stirred at 60 °C overnight. A black residue obtained after removing the solvent was subjected to flash column chromatography to give a dark powder.

CRANAD-19

yield 21.5%. 1H NMR (CDCl3) δ(ppm) 2.09 (s, 3H), 3.61 (t, 8H, J = 4.5 Hz), 3.75 (t, 3H, J = 4.5 Hz), 6.58 (d, 2H, J = 10.5 Hz), 6.78 (d, 2H, J = 15.5 Hz), 7.70 (dd, 2H, J = 10.5, 2.0 Hz), 7.92 (d, 2H, J = 15.5 Hz), 8.33 (d, 2H, J = 2.0 Hz); 13C NMR (d-DMSO) δ(ppm) 11.31, 45.12, 66.33, 107.23, 107.61, 114.77, 120.50, 137.15, 144.64, 153.14, 159.88, 176.63; 19F NMR (CDCl3) δ(ppm) 143.72, 143.78; ESI-MS (M+) m/z = 511.3. CRANAD-22: Yield 28.9%. 1H NMR (CDCl3) δ(ppm) 1.17 (t, 6H, J = 7.5 Hz), 3.54 (q, 4H, J = 7.5 Hz), 3.60 (t, 4H, J = 5.0 Hz), 3.74 (t, 4H, J = 5.0 Hz), 5.85 (s, 1H), 6.37 (d, 1H, J = 16.0Hz), 6.42 (d, 1H, J = 16.0 Hz), 6.46 (d, 1H, J = 8.5 Hz), 6.58 (d, 1H, J = 8.5 Hz), 7.61 (d, 1H, J = 7.5 Hz), 7.66 (d, 1H, J = 7.5 Hz), 7.84 (d, 1H, J = 16.0 Hz), 7.87 (d, 1H, J = 16.0 Hz), 8.30 (s, 2H); 13C NMR (CDCl3) δ(ppm) 12.92, 43.14, 44.98, 66,56, 101.25, 106.21, 106.55, 114.81, 116.85, 118.18, 120.02, 135.66, 136.00, 143.04, 145.03, 151.67, 153.14, 158.63, 159.74, 177.57, 178.80 ; 19F NMR (CDCl3) δ(ppm) 141.80; ESI-MS (M+) m/z = 483.2. CRANAD-29: This compound was synthesized from CRANAD-41, yield 9.0% (based on CRANAD-41). 1H NMR (CDCl3) δ(ppm) 1.89 (quit, 8H, J = 6.0 Hz), 2.67 (t, 8H, J = 6.0 Hz), 3.21 (t, 8H, J = 5.5 Hz), 5.71 (s, 1H), 6.28 (d, 2H, J = 15.5 Hz), 6.98 (s, 4H), 7.75 (d, 2H, J = 15.5 Hz); 13C NMR (CDCl3) δ(ppm) 21.37, 27.65, 50.09, 100.66, 113.82, 121.13, 121.54, 129.03, 146.20, 146.54, 176.90; 19F NMR (CDCl3) δ(ppm) 142.87, 142.93; ESI-MS (M+) m/z = 515.3. CRANAD-41: yield 37%. 1H NMR (CDCl3) δ(ppm) 1.89 (m, 4H), 2.14 (s, 3H), 2.66 (t, 4H, J = 6.0 Hz), 3.24 (t, 4H, J = 6.0 Hz), 5.72 (s, 1H), 6.20(d, 1H, J = 15.0 Hz), 7.00 (s, 2H), 7.86 (d, 1H, J = 15.0 Hz); 13C NMR (CDCl3) δ(ppm) 21.18, 23.74, 27.60, 50.18, 100.10, 111.47, 120.76, 121.24, 129.95, 147.35, 150.49, 180.24, 185.20 ; 19F NMR (CDCl3) δ(ppm) 141.12, 141.18; ESI-MS (2M-2H + Na) m/z = 685.3.

IVIS imaging of 3T3-L1 cells with CRANAD-29

To a 6-well plate seeded with preadipocytes or differentiated adipocytes, a 10 μL solution of CRANAD-29 (250 μM in DMSO) was added. The plate was subjected to imaging using IVIS imaging system with Ex = 640 nm, Em = 700 nm before and after addition of CRANAD-29. For triglyceride competition and Hexarelin inhibition, the similar protocol for CRANAD-2 imaging was used. The final concentration of hexarelin was 12.5 μM and the images were acquired at 3 hours after addition of CRANAD-29 and triglyceride/Hexarelin. Studies were performed in triplicate.

Bio-distribution study

For the bio-distribution study, Balb/c mice (n = 5) were injected with CRANAD-29 intravenously. BAT and other major organs/tissues were dissected at 4 hours post injection, which were then weighed and subjected to NIR imaging. Fluorescence intensities were normalized to the weight of organ/tissue.

Monitoring BAT mass change in STZ-induced diabetic model with CRANAD-29

Two-month old Balb/c mice (n = 5) were injected with STZ (80 mg/kg) for 7 days. When blood glucose levels reached 250 mg/dL for two consecutive days, the mice were subjected to NIR imaging with CRANAD-29. Before imaging, the fur around the interscapular area was removed. Images were acquired pre-injection, as well as 2- and 4-hours after intravenous injection. After imaging, the mice were sacrificed, BAT from both groups was dissected and weighed and a linear correlation was established between in vivo fluorescence signal and weight of the dissected BATs. The same imaging procedure was conducted with the control group that was injected with saline of the same volume for 7 days (n = 5).

Monitoring BAT activation under short cold exposure with CRANAD-29

Two-month old balb/c mice (n = 5) were placed in a 4 °C cold room for 2 hours before intravenous injection of CRANAD-29. Images were acquired at 1-, 2-, 4-hours after probe injection and mice were placed in the cold room between imaging sessions. Control mice (n = 5) were placed in a 25 °C room. Images were captured at the same time points after CRANAD-29 injection.

Monitoring browning of sWAT with CRANAD-29

Two-month old C57BL6 mice (n = 5) were intraperitoneally injected with CL 316,243 (100 uL, 1.0 mg/kg) for 12 days and the control mice (n = 5) were intraperitoneally injected with saline. On the 13th day, both groups were imaged after intravenous injection of CRANAD-29. Images were acquired at 1-, 2-, 4-hours after the probe injection. After the last imaging session, inguinal WATs were dissected and subjected to qPCR for UCP-1 expression and H&E staining.

Additional Information

How to cite this article: Zhang, X. et al. Curcumin analogues as selective fluorescence imaging probes for brown adipose tissue and monitoring browning. Sci. Rep. 5, 13116; doi: 10.1038/srep13116 (2015).