Angewandte Chemie International Edition
10.1002/anie.202007886
RESEARCH ARTICLE
Malignant brain tumors are characterized by a number of
The fluorine-substituted Pdots exhibit red-shifted emission and
high fluorescence QY which are superior properties for deep-
tissue NIR-II imaging. In one case, the QY of the tetrafluorinated
m-PBTQ4F Pdots, with good photostability, reached up to 3.2%
in aqueous solution, which was over 3-fold higher than that of
the non-fluorinated counterparts and 6-fold higher than that of
IR26. We postulate that the fluorination can result in planar
polymer conformation and reduce chain-chain interactions in the
fluorinated Pdots, which are consistent with the comparative
spectroscopic studies for the polymer in THF solutions and
Pdots in water. DFT calculations indicate that fluorination also
minimize the structure distortion between the excited and ground
states to enhance the emission QY of the Pdots. The fluorinated
Pdots exhibited a remarkable improvement in penetration depth
and signal to background ratio for deep tissue imaging, as
confirmed by through-skull and through-scalp quantitative
imaging of the brain-tumor vasculature of live mice. These
results indicate that fluorination is a promising strategy for the
design of highly fluorescence NIR-II fluorophores.
histopathological
features
including
infiltrative
growth,
microvascular proliferation and pleomorphic vessels.[24] Inspired
by the imaging results of mouse cerebral vasculature, we
attempt to explore the through-skull and through-scalp imaging
of brain tumor vasculature by using the fluorinated Pdots. We
chose a transgenic mouse model, ND2:SmoA1, because it
closely resembles human medulloblastoma, the most common
malignant childhood brain tumor.[25] For comparative studies, we
used five ND2:SmoA1 mice and five wild-type C57BL/6 mice,
and two of each group was shown in Figure 5 (the images of the
other 3 mice were provided in Figure S11). As indicated by the
through-skull imaging results, the brain vasculature in
ND2:SmoA1 mice is structurally abnormal as compared to that
of the wild-type animals. We can visually identify the significant
difference between the normal and brain tumor group. Whereas
the normal vasculature is arranged in a hierarchy of evenly
spaced and well-differentiated blood vessels, the tumor
vasculature is unevenly distributed and chaotic, exhibiting
serpentine courses and irregular branches. These imaging
results clearly reveal the vascular characteristics of
medulloblastoma as compared to the wild-type animals.
Acknowledgements
Finally, we assess and quantify the vascular morphology of
the mouse brain by using
a vascular segmentation and
C. Wu acknowledges financial support from Shenzhen Science
and Technology Innovation Commission (Grant No.
KQTD20170810111314625) and the National Natural Science
Foundation of China (Grant No. 81771930), and the National
Key Research and Development Program of China (Grant No.
quantification algorithm. Quantitative imaging of vascular
morphology of the medulloblastoma not only generates multiple
parameters regarding tumor angiogenesis, but also provides
insightful information for precise diagnosis of the malignancy of
the tumor. The vascular quantification algorithm is based on a
modified Hessian matrix method.[26] First, the original
fluorescence images (Top panel in Figure 5a and 5b) were
processed to generate the Hessian-matrix-enhanced images
2018YFB0407200). Y. Zou acknowledges the National Natural
Science Foundation of China (Grant No. 51673215), and
Science Fund for Distinguished Young Scholars of Hunan
Province (2017JJ1029).
(Bottom panel in Figure 5a and 5b). Then, blood vessels were
extracted from the enhanced images and the vascular
centerlines were further identified. Finally, using the extracted
image and the identified centerlines, the vascular morphological
parameters, including the total vessel length (Figure 5c), the
vessel branches (Figure 5d), and the vessel diameter entropy
Keywords: fluorination • fluorescent probes • polymer dots •
NIR-II optical imaging • brain tumor
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Figure 5e), were computed. As seen from the Figure 5a and
b, the enhanced images agree well with the original images,
5
but show much detailed vascular characteristics with high
resolution. The parameter distributions calculated from the
enhanced images indicate that the medulloblastoma mice have
apparently higher values in terms of the total vessel length, the
vessel branches, and the vessel diameter entropy as compared
to the wild-type animals. Last, we applied a process pipeline to
measure the asymmetry of vascular topography (Figure 5f),
which indicated that the proportions of vascular asymmetry in
the brain-tumor mice were obviously higher than those of the
normal mice. Taken together, the multiple parameters calculated
from the Hessian-matrix-enhanced images clearly outline the
characteristics of medulloblastoma as compared to the wild-type
mice. These results also high-light the great potential of the NIR-
II Pdots combined with the quantitative through-skull imaging for
early diagnosis of malignant brain tumors.
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In summary, we have successfully demonstrated a fluorination
strategy for development of bright fluorophores in NIR-II region.
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