| Literature DB >> 24052804 |
Morten Persson1, Masood Hosseini, Jacob Madsen, Thomas J D Jørgensen, Knud J Jensen, Andreas Kjaer, Michael Ploug.
Abstract
The correlation betweenEntities:
Keywords: CB-TE2A; CD87; Ly-6; SPR; biomarker; positron emission tomography; tumor targeting.; urokinase-type plasminogen activator receptor
Mesh:
Substances:
Year: 2013 PMID: 24052804 PMCID: PMC3776215 DOI: 10.7150/thno.6810
Source DB: PubMed Journal: Theranostics ISSN: 1838-7640 Impact factor: 11.556
Fig 1: CB-TE2A-AE105, CB-TE2A-PA-AE105 and inactive control peptide CB-TE2A-PA-AE105mut, where Phe→Glu and Trp→Glu replacements grossly impairs the AE105-uPAR binding interface defined by the corresponding X-ray crystal structure 15.
Fig 2. The inhibitory profiles of CB-TE2A-AE105 and CB-TE2A-PA-AE105 and their corresponding inactive control peptides are shown in panels A and B, respectively. In these experiments the binding of 0.5 nM recombinant uPAR to immobilized pro-uPA (4300 RU ~ 93 fmol/mm2) are recorded under conditions conferring severe mass transport limitations. The amount of residual, unoccupied uPAR was calculated from the linear association rates in the initial phases of the binding reaction. The IC50-values were calculated by fitting the data to a four-parameter logistic model. The kinetics of the interaction between immobilized uPAR and a 2-fold dilution series of CB-TE2A-AE105 and its corresponding inactive control is shown in panels C and D, respectively. Highest concentration of the peptide tested is 100 nM and 25 nM is measured twice to validate reproducibility. Repeat measurements are shown in blue and buffer runs in green.
Binding properties of selected uPAR targeting peptide-based PET probesa
| Ligand | ||||
|---|---|---|---|---|
| AE105 | 0.62 ± 0.34 | 7.6 ± 0.7 | 12 | 6.7 ± 1.6 |
| DOTA-AE105 | 0.46 ± 0.19 | 4.3 ± 0.6 | 9.4 | 6.7 ± 1.0 |
| DOTA-AE105mut | nbb | nbb | nbb | >> 103 |
| CB-TE2A-AE105 | 0.60 ± 0.30 | 4.6 ± 0.1 | 7.7 | 5.9 ± 1.0 |
| CB-TE2A-AE105mut | nbb | nbb | nbb | >> 103 |
| CB-TE2A-PA-AE105 | 0.40 ± 0.13 | 10.8 ± 0.1 | 27 | 6.1 ± 1.0 |
| CB-TE2A-PA-AE105mut | nbb | nbb | nbb | >> 103 |
aThe IC-values for competing the binding between 0.5 nM uPARwt and immobilized pro-uPA were determined as outlined in Figures 2A and 2B. Kinetic rate constants (k and k) for the direct interaction with immobilized uPARwt were determined by surface plasmon resonance using a Biacore T200 as illustrated for CB-TE2A-PA-AE105 and its inactive version in Figure 2C and 2D. The equilibrium dissociation constant (K) was calculated as k/k. bnb: no measurable binding up to 200 nM peptide.
Fig 3Chemical stability of different macrocyclic Cu-complexes probed by MALDI-MS. MALDI-MS spectra are recorded under identical conditions for Cu-DOTA-AE105 in SA (panel A) and ACHA (panel B), Cu-CB-TE2A-AE105 in ACHA (panel C), and for Cu-CB-TE2A-PA-AE105 in ACHA (panel D). To the left of each panel is shown the best fit obtained for the isotope envelopes using the oxidation state of the bound Cu as the only floating parameter (Cu(II) or Cu(I)). The lower case letters in the MALDI-MS spectra indicates the monoisotopic peaks of the following singly charged molecular species: a) corresponds to the demetallated peptide, [M + H]+; b) corresponds to the Cu-chelated peptide with 63Cu(II), [M - H + 63Cu(II)]+.
Laser-induced in-source reduction of Cu(II) complexed to various macrocyclic chelators.
| Ligand - matrix1 | |||
|---|---|---|---|
| CHCA | 57.1 ± 8.0 | 15.3 ± 5.2 | 50.9 ± 0.4 |
| SA | 18.1 ± 6.9 | 41.1 ± 4.9 | 51.1 ± 1.2 |
| CHCA | 36.2 ± 7.8 | 44.8 ± 3.1 | 52.2 ± 1.6 |
| SA | 23.2 ± 3.3 | 46.0 ± 2.1 | 51.3 ± 0.9 |
| CHCA | 19.2 ± 2.9 | 45.6 ± 1.4 | 51.0 ± 0.9 |
| SA | 4.4 ± 1.2 | 46.6 ± 1.5 | 50.0 ± 3.5 |
1The following MALDI matrices were used in this study α-cyano-4-hydroxycinnamic acid (CHCA) and sinapinic acid (SA). 2Estimation of the degree of in-source prompt dissociation of Cu from the macrocyclic chelators. The relative areas of the isotope envelopes representing the demetallated peptide (M) and the Cu-complexed peptide (M+Cu) were calculated for each matrix: [M/M+(M+Cu)]x100. The data are shown for 8 independent sample depositions in CHCA and SA. 3Surrogate marker for the degree of laser-induced Cu(II) to Cu(I) reduction that still persists in the Cu-complexes leaving the source of the mass spectrometer. The relative peak heights corresponding to 63Cu(II)/63Cu were calculated for both matrices (n=8) as [b/(b+(b+1)]x100 in Figure 3. 4Quality control for the above surrogate marker assessment of Cu(II) reduction. The relative peak heights corresponding to the demetallated peptides were measure for both matrices in the same MALDI spectra as [a/(a+(a+1)]x100 in Figure 3 (n=8).
Fig 4. Radiochemical yields for 64Cu labeling using different amounts of CB-TE2A-AE105 and CB-TE2A-PA-AE105 incubated 30 min at 95°C and pH 8.0. Above 2 nmol conjugated peptide, no significantly difference in labeling yield were observed, whereas CB-TE2A-PA-AE105 gave a higher yield below 2 nmols.
Fig 5. Tumor uptake values (%ID/g) after 1 hr and 22 hrs are shown in panel A, tumor-to-blood ratio in panel B, liver uptake values in panel C, and tumor-to-liver ratio in panel D. Representative transverse images of 64Cu-DOTA-AE105 and 64Cu-CB-TE2A-AE105, 64Cu-CB-TE2A-AE105 are shown in the lower panel for 1 h p.i.. White arrow indicates tumor. ** p<0.01, *** p<0.001. (n=8 tumors).
Fig 6. Results for 64Cu-CB-TE2A-AE105 and 64Cu-CB-TE2A-PA-AE105 are shown after 1 h (panel A) and 22 hrs (panel B). A significantly higher tumor-to-liver ratio was found for 64Cu-CB-TE2A-PA-AE105 after both 1h (p>0.01) and 22 h (p>0.001) (panel C). (n=4 mice/group).
Biodistributions of new cross-bridged uPAR PET tracersa .
| 64Cu-CB-TE2A-AE105 | 64Cu-CB-TE2A-PA-AE105 | |||
|---|---|---|---|---|
| Organ | ||||
| Blood | 1.4 ± 0.2 | 0.4 ± 0.1 | 2.0 ± 0.3 | 0.2 ± 0.1 |
| Liver | 11.2 ± 1.2 | 3.6 ± 0.4 | 4.8 ± 0.7 | 1.6 ± 0.1 |
| Kidney | 15.0 ± 1.0 | 5.2 ± 1.4 | 14.0 ± 1.6 | 4.8 ± 0.7 |
| Lung | 5.5 ± 1.4 | 2.9 ± 0.4 | 4.3 ± 0.7 | 2.0 ± 0.8 |
| Spleen | 6.2 ± 1.2 | 2.9 ± 0.7 | 2.8 ± 0.3 | 2.7 ± 0.3 |
| Heart | 1.2 ± 0.1 | 1.0 ± 0.2 | 1.1 ± 0.1 | 0.6 ± 0.1 |
| Stomach | 1.7 ± 0.6 | 1.1 ± 0.4 | 1.3 ± 0.8 | 0.7 ± 0.1 |
| Intestine | 4.3 ± 1.1 | 2.1 ± 0.4 | 3.7 ± 0.8 | 1.3 ± 0.1 |
| Muscle | 0.3 ± 0.1 | 0.2 ± 0.1 | 0.5 ± 0.2 | 0.1 ± 0.1 |
| Bone | 1.1 ± 0.4 | 0.8 ± 0.3 | 0.9 ± 0.1 | 0.9 ± 0.3 |
| Brain | 0.2 ± 0.1 | 0.1 ± 0.1 | 0.1 ± 0.1 | 0.1 ± 0.1 |
| Tumor | 3.6 ± 1.0 | 2.1 ± 0.3 | 3.0 ± 0.9 | 2.0 ± 0.3 |
| Tumor-to-blood | 2.6 ± 0.5 | 5.2 ± 0.5 | 1.5 ± 0.4 | 9.3 ± 1.7 |
| Tumor-to-liver | 0.3 ± 0.1 | 0.6 ± 0.1 | 0.7 ± 0.3 | 1.3 ± 0.2 |
| Tumor-to-kidney | 0.2 ± 0.1 | 0.4 ± 0.1 | 0.2 ± 0.1 | 0.5 ± 0.1 |
| Tumor-to-intestine | 0.8 ± 0.1 | 1.0 ± 0.2 | 0.9 ± 0.3 | 1.6 ± 0.2 |
| Tumor-to-muscle | 1.4 ± 0.2 | 17.5 ± 8.0 | 7.5 ± 5.0 | 22.2 ± 15.3 |
aThe biodistributions profiles and tumor to non-tumor ratios for 64Cu-CB-TE2A-AE105 and 64Cu-CB-TE2A-PA-AE105 were established in nude mice bearing U87MG xenografts by gamma counting of resected organs.
Fig 7Representative sagittal PET/CT images for 64Cu-CB-TE2A-PA-AE105 and its corresponding inactive control peptide 64Cu-CB-TE2A-PA-AE105mut are shown after 1h (panel A). White arrows indicate location of the tumors. The corresponding quantitative ROI analysis of tumor and liver are shown (panel B). Levels of uPAR expression determined by ELISA in resected tumor lysates from mice sacrificed after termination of each imaging experiment are shown in (panel C). (n = 6 tumors (3 mice in each group). *** p<0.001.