Nanostructure-based functions are omnipresent in nature and essential for the diversity of life. Unlike small molecules, which are often inhibitors of enzymes or biomimetics with established methods of elucidation, we show that functions of nanoscale structures in cells are complex and can implicate system-level effects such as the regulation of energy and redox homeostasis. Herein, we design a platinum(II)-containing tripeptide that assembles into intracellular fibrillar nanostructures upon molecular rearrangement in the presence of endogenous H2O2. The formed nanostructures blocked metabolic functions, including aerobic glycolysis and oxidative phosphorylation, thereby shutting down ATP production. As a consequence, ATP-dependent actin formation and glucose metabolite-dependent histone deacetylase activity are downregulated. We demonstrate that assembly-driven nanomaterials offer a rich avenue to achieve broad-spectrum bioactivities that could provide new opportunities in drug discovery.
Nanostructure-based functions are omnipresent in nature and essential for the diversity of life. Unlike small molecules, which are often inhibitors of enzymes or biomimetics with established methods of elucidation, we show that functions of nanoscale structures in cells are complex and can implicate system-level effects such as the regulation of energy and redox homeostasis. Herein, we design a platinum(II)-containing tripeptide that assembles into intracellular fibrillar nanostructures upon molecular rearrangement in the presence of endogenous H2O2. The formed nanostructures blocked metabolic functions, including aerobic glycolysis and oxidative phosphorylation, thereby shutting down ATP production. As a consequence, ATP-dependent actin formation and glucose metabolite-dependent histone deacetylase activity are downregulated. We demonstrate that assembly-driven nanomaterials offer a rich avenue to achieve broad-spectrum bioactivities that could provide new opportunities in drug discovery.
In cells, protein nanostructures
are abundant, serving as cellular
scaffolds, multi-domain catalysts, and transport highways.[1] Among them, ordered protein assemblies consisting
of β-sheet structures, the so-called β-amyloids, play
both functional and pathological roles. They serve as biotemplates
within melanocytes for melanin biosynthesis[2,3] or
as nucleating centers toward the amyloidosis in Type 2 diabetes.[4,5] Mechanistically, the monomers of these ordered nanostructures do
not possess intrinsic functions of their own but rely on the propagation
of long-range hierarchical structures to feature their rich biological
activities. Several strategies have since been attempted to re-engineer
these nanostructures using simplified peptide-based monomers to elicit
biomedical functions.[6−13] Pharmacologically, self-assembling nanostructures in cells combine
features of small molecules such as deep cell/tissue penetration with
properties from larger superstructures like enzymatic stability and
retardation of cellular efflux.[10,14,15] Existing studies, with a major focus on native peptide sequences,
found that the formation of nanostructures or nanoaggregates stimulated
via physiological means (pH, enzymes, and concentration) has commonly
led to cell death, also among in vivo models.[6−13] However, very little is known in terms of their mechanism of action
and biochemical profile as the assembly of intracellular structures
relies intricately on both supramolecular dynamics and cellular processes.Nonetheless, from the biological features of β-amyloids,
it is implied that the nanostructures plausibly exhibit broad bioactivity
on a systemic level that impacts multiple pathways that ultimately
leads to cell death. As such, we rationalized that an investigation
into process families accompanied by precise chemical tools will enable
a greater understanding to the cellular dynamics. Among these processes,
metabolism is a critical facet that defines cellular life, and through
it, the basic unit of energy in the form of adenosine triphosphate
(ATP) is produced.[16] Hence, metabolic interference
that overwhelms the cell’s capability to adapt between glucose
fermentation (glycolysis) and oxygen conversion oxidative phosphorylation
(OxPhos) leads to the impairment of ATP-dependent pathways.[17,18] In this regard, various supramolecular strategies have recently
been developed and shown to be effective to target the accelerated
metabolism of cancer.[19,20] By coupling an in-depth metabolic
study with a switchable self-assembling platform in living cells,
we aim to establish a correlation of bioactive functions with superstructure
formation.Herein, we present a platinum metallo-iso-tripeptide
that undergoes a cascade of molecular and supramolecular transformations
under specific intracellular environments to form near-infrared (NIR)
emitting nanofibers (Figure ). The isomerization of the iso-tripeptide
forms the backbone, aligning the platinum(II) terpyridine (Pt-tpy)
complex with its β-amyloid-like sequence, thus fostering the
propagation of supramolecular order through π–π
and metal–metal interactions. Pt complexes enable rich molecular
topologies and diverse self-assembly structures in both the solid
state and solutions.[21−25] The synergy between platinum(II) complexes with other self-assembling
motifs are well-known, often producing assemblies with emerging morphological
and photoluminescence properties.[12,25−32] By merging the features of platinum(II) complexes and peptides together
with boronic acid-salicylhydroxamate (SHA) chemistry that responds
to both physiological pH and reactive oxygen species,[11,33] the progression from a dormant assembling precursor to the final
superstructure can be controlled and imaged within cells. With the
robust sequence of chemical transformation in place, the biological
activity on aerobic glycolysis (AGlyc) and OxPhos is demonstrated
on A549 lung cancer cells and MDA-MB-231 metastatic breast cancer
cells. These cancer cell lines are known to be metabolically adaptive,[18,34] thus enabling a deeper insight into the mechanism of action of the
formed nanofiber. Additionally, pathways including histone deacetylase
(HDAC) activity[35] and actin restructuring[36,37] that are dependent on ATP or metabolites will be assessed to evaluate
the extent of the cellular impact.
Figure 1
Schematic illustration of the intracellular
H2O2-induced formation of linear platinum(II)
complexes that self-assembles
into platinum(II)-containing nanofibers, which affects energy homeostasis
and disrupts cellular metabolism. Created with BioRender.com.
Schematic illustration of the intracellular
H2O2-induced formation of linear platinum(II)
complexes that self-assembles
into platinum(II)-containing nanofibers, which affects energy homeostasis
and disrupts cellular metabolism. Created with BioRender.com.
Results and Discussion
Design and Synthesis of the Pro-Assembling
Metallo-Isopeptide
1·TAT
The metallo-isotripeptide 1·TAT is composed of three functionalities (Figure A): (1) a pro-assembling
isopeptide (ISA) caged by an immolative boronic acid group,[11] (2) a transporter peptide, trans-activator of
transcription (TAT), that interacts with cellular membranes, enabling
cellular uptake and endosomal release.[38] This peptide carries a SHA group that binds to the boronic acid
via a pH responsive dynamic covalent bond.[11,33] (3) a Pt-tpy complex coordinated to the alkynyl group on the N-terminus
of the iso-ISA peptide. The minimalistic design allows
each peptide segment to perform their specified roles in a controlled,
sequential manner. Hence, the expected mechanism of how the complex
interacts with cells would first begin with the TAT-mediated endocytosis
and intracellular endosomal escape of the complex.[11] Once released to the near-neutral (pH 7.4) cytosol, endogenous
H2O2 possesses sufficient oxidative strength
to immolate the boronic acid cage generating the serine residue with
a primary amino group. Next, an O,N-acyl shift occurs, causing the peptide to rapidly isomerize into
the monomeric self-assembling peptide 2, which assembles
into the nanofibers 2 (Figure A).
Figure 2
(A) Chemical design and
reaction scheme for all chemical transformations
of the ISA-platinum(II) complex 1·TAT into nanofibers 2. (B) LC–MS kinetic analysis
over the H2O2 (0.5 mM)-induced linearization
of 1 (50 μM) in a mixture of NH4HCO3 buffer (pH 7.4, 20 mM) and CH3OH (9/1, vol %).
(C) Convoluted MS spectra in the LC–MS analysis for a reaction
time of 0 min and tR = 6.54–6.69
min (identified as complex 1) and a reaction time of
4 h and tR = 6.06–6.21 min (identified
as complex 2). (D) Molar ratio of 1, iso-2, and 2 after addition of
H2O2 based on the peak integration at 254 nm.
(E) UV–vis absorption spectra of 1·TAT and 2 (50 μM) in PB (pH 7.4, 50 mM). (F) Luminescence emission
spectra of 1·TAT and 2 (50 μM)
in PB (pH 7.4, 50 mM). Excitation wavelength = 488 nm.
(A) Chemical design and
reaction scheme for all chemical transformations
of the ISA-platinum(II) complex 1·TAT into nanofibers 2. (B) LC–MS kinetic analysis
over the H2O2 (0.5 mM)-induced linearization
of 1 (50 μM) in a mixture of NH4HCO3 buffer (pH 7.4, 20 mM) and CH3OH (9/1, vol %).
(C) Convoluted MS spectra in the LC–MS analysis for a reaction
time of 0 min and tR = 6.54–6.69
min (identified as complex 1) and a reaction time of
4 h and tR = 6.06–6.21 min (identified
as complex 2). (D) Molar ratio of 1, iso-2, and 2 after addition of
H2O2 based on the peak integration at 254 nm.
(E) UV–vis absorption spectra of 1·TAT and 2 (50 μM) in PB (pH 7.4, 50 mM). (F) Luminescence emission
spectra of 1·TAT and 2 (50 μM)
in PB (pH 7.4, 50 mM). Excitation wavelength = 488 nm.The synthesis of the Pt-isotripeptide 1 and the TAT-SHA is performed separately using
a combination
of solution and solid-phase peptide syntheses (Figure S1). The complexation of the Pt-tpy unit to the alkynyl iso-ISA S1 is performed in solution catalyzed
by CuI, to afford the target Pt-isotripeptide 1 characterized by one-dimensional/two-dimensional nuclear
magnetic resonance (NMR) spectroscopy and liquid chromatography (LC)–mass
spectrometry (MS) (Figures S8–S13). As a control and reference for subsequent mechanistic studies,
the expected product 2 that will be formed at the end
of the transformation cascade was also separately synthesized (Figures S14–S25). The dynamic covalent
boronic acid-SHA bond between the Pt-isotripeptide 1 and TAT-SHA was formed in PBS (pH 7.4) to yield
the cell-penetrating 1·TAT, characterized by matrix-assisted
laser desorption ionization–MS (Figure S26)
Formation of the Assembly Precursor Peptide
2 by Chemical Triggers
The first chemical transformation
occurs under mildly acidic pH,
where the boronic acid-SHA bond is cleaved to release 1 into the cytosol.[11] The increase to near-neutral
pH within the cytosol empowers the oxidation of the boronic acid by
endogenous H2O2, resulting in its immolation,
thus converting 1 to iso-2 and initiating the rearrangement into 2. The kinetics
of the H2O2-triggered formation of 2 in solution was investigated by LC–MS (Figures B–D and S28). In aqueous solution, incubation with H2O2 for 20 min resulted in the complete disappearance of 1 and the emergence of two new peaks with retention times (t) of 5.69 and 6.06 min, respectively
(Figure B), both showing m/z values in agreement with the chemical
formula of 2 (m/z =
496.4 for [2 + H]2+ and 991.3 for [2]+) (Figure C and Figure S29). In comparison with 2 obtained via direct synthesis (tR = 6.06 min), the former was assigned to be the intermediate formed
(iso-2) upon the immolation of the phenylboronic
acid prior to isomerization. Further incubation with H2O2 led to an increase of 2, with a 95% conversion
at 4 h (Figure D).
In contrast, less than 5% conversion was observed after 24 h incubation
of 1 without H2O2 (Figure S30). Similar conversion kinetics is observed
when 1 was incubated with H2O2 at
cellular concentrations of 2.1 μM (Figures S31–S32 and S69), indicating that the intracellular
oxidative stress is sufficient for initiating the conversion of 1.The square-planar platinum(II) center in the complexes
endows the complex with optical properties associated with the nature
of self-assembly. Complexes 1·TAT and 2 displayed absorption bands centered at 460 nm in PB (Figure E), which can be assigned to
a combination of dπ(Pt) → π*(tpy) metal-to-ligand
charge-transfer (MLCT) and alkynyl-to-tpy ligand-to-ligand charge-transfer
(LLCT) transitions. A lower energy absorption shoulder at ca. 570
nm is observed for both complexes, which can be attributed to a metal
MLCT (MMLCT) transition.[25,39] Complex 2 exhibited weaker MLCT/LLCT transition but markedly stronger MMLCT
absorption than 1·TAT. This indicates a higher extent
of intermolecular dz2 interactions
between platinum(II) centers in neighboring molecules of 2, suggesting a proclivity for self-assembly in PB forming 2.[25,39] Both solutions showed
NIR emission originating from the MMLCT excited states upon excitation
at 488 nm (Figure F). Complex 1·TAT exhibited emission centered at
770 nm, whereas complex 2 displayed red-shifted emission
(λmax = 792 nm) with a 1.5-fold higher intensity,
which can be ascribed to the enhanced MMLCT transition as a result
of self-assembly. The difference in the photophysical profile between
the solutions of the complexes facilitates the tracking of their H2O2-induced conversion and subsequent assembly of 2 into 2 in PB. Treatment
of 1·TAT with H2O2 (0.5 mM)
led to a red shift in the λmax with a concomitant
increase in emission intensity (Figure S33). The conversion is completed in 280 min with the final emission
profile resembling 2, in agreement
with the LC–MS study.
Amyloid-Like Nanofibers 2NF Form
with High Molecular
Order
The self-assembly of the complexes was visualized using
transmission electron microscopy (TEM). Nanofibers were observed for 2 at concentrations ranging from
5 to 100 μM (Figures A and S34), whereas 1 and 1·TAT showed no defined nanostructures (Figure S35). Upon oxidation of 1·TAT by H2O2, the transformation into 2 and subsequent self-assembly produced fibrillar morphology similar
to the control (Figure S36). Selected-area
electron diffraction (SAED) on 2 showed diffraction arcs with a 3.3 Å lattice spacing, in agreement
with the intermolecular distance of π–π interactions
within the nanofibers.[40] The diffraction
arcs are perpendicular to the long axis of the fibers (Figures B and S37). Nanofiber formation is further supported by cryogenic
high-resolution TEM studies on 2 in PB, where the growth axis suggested an end-to-end molecular arrangement
of the complexes (Figures C and S38). Each fiber was observed
to be bundled with a mean interfiber distance of 2.9 nm.
Figure 3
Nanofiber 2 with a high
degree of molecular order formed by self-assembly of 2. (A) TEM image of the nanofibers 2 (25 μM) in PB (pH 7.4, 10 mM). Scale bar, 200 nm. (B)
SAED pattern of the nanofiber 2 (100 μM) in H2O. The white arrows indicate diffraction
arcs at 3.0 nm–1, that is, 3.3 Å. Scale bar,
3 nm–1. (C) Cryogenic high-resolution TEM image
of the nanofiber 2 (25 μM)
in PB (pH 7.4, 50 mM). Scale bar, 50 nm. (D) CD spectra of 2 in a mixture of PB (pH 7.4, 10 mM) and
CH3CN (98/2, vol %). (E) Partial 1H, 1H NOESY NMR spectrum (850 MHz, 343 K) of 2 (1 mg/mL)
in PB (pH 7.4, 50 mM). Intermolecular NOE cross-peaks are circled
in the NMR spectrum. (F) Proposed molecular stacking mode of the Pt-tpy
group in 2 based on the NOESY
NMR study. The red arrows indicate intermolecular NOE interactions
between protons. (G) Proposed arrangement of monomer 2 in 2 based on microscopy
and NMR studies. The nanofibers showed a mean interfiber distance
of 2.9 nm. Nanofiber formation also promotes NIR emission originated
from the Pt-tpy groups in 2. Intracellular formation of 2NF induces actin restructuring.
Nanofiber 2 with a high
degree of molecular order formed by self-assembly of 2. (A) TEM image of the nanofibers 2 (25 μM) in PB (pH 7.4, 10 mM). Scale bar, 200 nm. (B)
SAED pattern of the nanofiber 2 (100 μM) in H2O. The white arrows indicate diffraction
arcs at 3.0 nm–1, that is, 3.3 Å. Scale bar,
3 nm–1. (C) Cryogenic high-resolution TEM image
of the nanofiber 2 (25 μM)
in PB (pH 7.4, 50 mM). Scale bar, 50 nm. (D) CD spectra of 2 in a mixture of PB (pH 7.4, 10 mM) and
CH3CN (98/2, vol %). (E) Partial 1H, 1H NOESY NMR spectrum (850 MHz, 343 K) of 2 (1 mg/mL)
in PB (pH 7.4, 50 mM). Intermolecular NOE cross-peaks are circled
in the NMR spectrum. (F) Proposed molecular stacking mode of the Pt-tpy
group in 2 based on the NOESY
NMR study. The red arrows indicate intermolecular NOE interactions
between protons. (G) Proposed arrangement of monomer 2 in 2 based on microscopy
and NMR studies. The nanofibers showed a mean interfiber distance
of 2.9 nm. Nanofiber formation also promotes NIR emission originated
from the Pt-tpy groups in 2. Intracellular formation of 2NF induces actin restructuring.Circular dichroism (CD) spectroscopy analysis on 2 revealed a maximum at 190 nm corresponding
to the π → π* of the carbonyl group, depicting
H-bond interactions centered on the peptidic backbone. This band is
coupled with the red-shifted n → π* transition visible
at the 229 nm minimum.[41] Exciton coupling
parallel to the peptide backbone also exists for 2 at 210 nm (Figure D).[41] Additionally,
a strong positive signal beyond 250 nm corresponding to the π
→ π* transition of the Pt-tpy group[25] is also observed for 2, demonstrating the importance of the Pt-tpy group in the self-assembly.
In contrast, 1 only exhibited a minimum at 208 nm (Figure S39). The self-assembly behavior of 2 at the molecular level was further
examined using NMR. At 298 K, 2 showed broad signals in the 1H NMR spectrum. Increasing
the temperature led to sharpening of the signals accompanied by significant
downfield shifts (Figure S41), which indicates
self-assembly at 298 K. Nuclear Overhauser effect spectroscopy (NOESY)
of 2 revealed NOE cross-peaks
between the protons on the tpy group and the phenyl ring of the alkynyl
ligand (Hd/Hh and He/Hh) and between the non-neighboring protons on the tpy moiety (Ha/Hc, Hb/Hd, and Hb/He) (Figures E and S47), implying
that the Pt-tpy group adopts a twisted head-to-tail stacking upon
self-assembly (Figure F), which is characteristic for Pt-tpy complexes.[39] The microscopy and spectroscopy experiments suggest that 2 possesses a high degree of molecular
order, which is highly favorable for studies in a biological context
because it enhances the proteolytic stability of the nanofibers and
promotes NIR emission originated from the Pt-tpy group (Figure G).The growth of the
nanofibers 1·TAT→2 was visualized in A549 lung alveolar
adenocarcinoma cells and MDA-MB-231 metastatic breast cancer cells
using confocal laser scanning microscopy (Figures A, S48, and S49). Within 4 h, TAT-dependent internalization was observed (Figure A). Assisted by the
NIR emission of the platinum(II) center, correlative light-electron
microscopy (CLEM) observed that newly formed luminescent nanofibers
within the cytoplasm occur after escaping from the endosomal vesicles
(Figures B, S50, and S51). In line with the pH dependence
of endogenous H2O2 activity on the boronic acid,
the TEM micrographs revealed that the entry into the near-neutral
(pH 7.4) cytosol from the acidic (pH 6.0) endosomes initiates the
nanofiber formation. At the onset of nanofiber growth, the first metabolic
consequence of newly formed 2 can be detected through early changes in the cytoskeleton, whose
formation is tightly coupled to glycolytic pathways.[36,37] An investigation using cytoskeleton stain Phalloidin-iFluor 405
demonstrated a restructuring of actin filaments toward the cellular
membrane (Figures C and S54). Using both 10 and 25 μM,
the appearance of fluorescent loci along the cell membrane was only
observed at 25 μM (Figure C, lower panel), suggesting that a critical concentration
threshold of 2 has to be reached
for actin restructuring. Actin filaments in cells are regulated by
Rho-GTPases,[42] which are accumulated on
the lateral membranes in cultured mammalian epithelial cells.[43] Disruption can occur at the Rho-GTPase level
or by the disassembly of F-actin, each leading to different observations
through phalloidin stain. F-actin fragmentation generates phalloidin
signals aggregating around the remnants of the actin filaments.[44] In contrast, interference toward Rho-GTPases
accumulates phalloidin signals to the membrane because F-actin cannot
propagate without a functioning Rho-GTPase or its substrate, GTP.[45] As the equilibrium of GTP and ATP is typically
maintained by nucleoside-diphosphate kinases,[46] we hypothesize that broader, systemic effects may have been the
origin of the observations since the nanofibers are unlikely to inhibit
specific enzymes.
Figure 4
Internalization and assembly into nanofibers 1·TAT → 2 in the cytoplasm
restructure actin filaments. (A) Confocal laser scanning micrographs
of A549 cells treated for 4 h with 1·TAT (25 μM)
and Hoechst 33342 dye. Scale bar, 20 μm. (B) CLEM of A549 cells
treated for 6 h with 1·TAT (50 μM). N, nucleus.
C, cytosol. Scale bar, 1 μm. (C) Confocal laser scanning micrographs
of A549 cells treated for 4 h with 1·TAT (25 μM)
and Phalloidin-iFluor 405. White arrows indicate the fluorescent loci
along the cell membrane. Scale bar, 20 μm. Nanofibers 2NF disrupt AGlyc and OxPhos metabolic pathways.
Internalization and assembly into nanofibers 1·TAT → 2 in the cytoplasm
restructure actin filaments. (A) Confocal laser scanning micrographs
of A549 cells treated for 4 h with 1·TAT (25 μM)
and Hoechst 33342 dye. Scale bar, 20 μm. (B) CLEM of A549 cells
treated for 6 h with 1·TAT (50 μM). N, nucleus.
C, cytosol. Scale bar, 1 μm. (C) Confocal laser scanning micrographs
of A549 cells treated for 4 h with 1·TAT (25 μM)
and Phalloidin-iFluor 405. White arrows indicate the fluorescent loci
along the cell membrane. Scale bar, 20 μm. Nanofibers 2NF disrupt AGlyc and OxPhos metabolic pathways.We investigate the impact of 2 on the main mechanisms of cellular metabolism, AGlyc and OxPhos
pathways, which are core upstream processes involving at least 10%
of the human proteome.[47] The consumption
of oxygen to fuel mainly OxPhos, and the extracellular acidification
as a function of AGlyc were analyzed in A549 and MDA-MB-231 cells
using a Seahorse extracellular flux analyzer (Figure ). Treatment of both cell lines with 1·TAT that transforms into 2 demonstrated a reduction in the oxygen consumption rate (OCR)
within 4 h (Figure C), with 25 μM inducing 41-fold and a 32-fold decrease, respectively,
in A549 and MDA-MB-231 cells (Figure D). The OCR, expressed as pmol/min, is a first measure
of OxPhos (Figure A–C) activity, which takes place primarily in the mitochondria.
Figure 5
Transformation 1·TAT → 2 disrupts both AGlyc and OxPhos metabolism of
A549 and MDA-MB-231 cells. (A) Scheme of a mitochondrion with focus
on the ETC, the site of OxPhos. The compounds of the Mito stress test
modulate the ETC when added in the indicated injection sequence. (B)
Profile of the OCR during the Mito stress test. Numbers represent
the compounds of the Mito stress test shown in Figure A. (C) Effect of 2 on the OCR of MDA-MB-231. The last measurement before
treatment injection is set as 100%. (D,E) Acute response (D) and maximal
respiration (E) of A549 and MDA-MB-231 cells. (F) Schematic representation
of glycolysis and cell respiration, which are affected by the compounds
of the glycolysis stress test. Each target of the modulators of the
glycolysis and OxPhos used in the assay is indicated with respect
to the injection sequence. (G) Profile of the ECAR during the glycolysis
stress test. Characters represent the compounds of the glycolysis
stress test shown in Figure F. (H) Effect of 2 on
the ECAR of MDA-MB-231. (I,J) Effect of 2 on the glycolysis (I) and glycolytic reserve (J) of A549 and
MDA-MB-231 cells. For (D,E,I), the data are expressed as relative
values to untreated control cells. Data are presented as mean ±
s.e.m., n ≥ 5. Statistical significance was
calculated by ANOVA with a Tukey post hoc test. *p < 0.05, **p < 0.01, ***p < 0.001.
Transformation 1·TAT → 2 disrupts both AGlyc and OxPhos metabolism of
A549 and MDA-MB-231 cells. (A) Scheme of a mitochondrion with focus
on the ETC, the site of OxPhos. The compounds of the Mito stress test
modulate the ETC when added in the indicated injection sequence. (B)
Profile of the OCR during the Mito stress test. Numbers represent
the compounds of the Mito stress test shown in Figure A. (C) Effect of 2 on the OCR of MDA-MB-231. The last measurement before
treatment injection is set as 100%. (D,E) Acute response (D) and maximal
respiration (E) of A549 and MDA-MB-231 cells. (F) Schematic representation
of glycolysis and cell respiration, which are affected by the compounds
of the glycolysis stress test. Each target of the modulators of the
glycolysis and OxPhos used in the assay is indicated with respect
to the injection sequence. (G) Profile of the ECAR during the glycolysis
stress test. Characters represent the compounds of the glycolysis
stress test shown in Figure F. (H) Effect of 2 on
the ECAR of MDA-MB-231. (I,J) Effect of 2 on the glycolysis (I) and glycolytic reserve (J) of A549 and
MDA-MB-231 cells. For (D,E,I), the data are expressed as relative
values to untreated control cells. Data are presented as mean ±
s.e.m., n ≥ 5. Statistical significance was
calculated by ANOVA with a Tukey post hoc test. *p < 0.05, **p < 0.01, ***p < 0.001.Key parameters of mitochondrial
respiration were investigated to
unravel the impact of 2 on
OxPhos by the sequential use of modulators of the electron transport
chain (ETC): rotenone (Complex I), antimycin A (Complex III), oligomycin
(ATP synthase), and FCCP (carbonyl cyanide 4-(trifluoromethoxy)phenylhydrazone)
to disrupt the mitochondrial membrane potential.[48,49] Treated cells exhibit less than 10% of the FCCP-induced maximal
respiration compared to untreated cells, highlighting the inability
of cells to sustain energy demand even when stimulated to operate
at maximum capacity (Figure E). Thus, in addition to the impact on OxPhos depicted by
the acute response, 2 induces
a massive and persistent effect on mitochondrial respiration that
prevents cells from adapting to stress. This phenomenon is further
confirmed by a reduction of most of the OxPhos-related parameters,
such as ATP production and spare respiratory capacity, which is a
potential indicator of mitochondrial damage (Figures S58–60). Based on the burden of 1·TAT → 2 on mitochondrial
respiration, we subsequently evaluated parameters related to AGlyc
where cancer cell types are known for being able to rewire their cell
metabolism between OxPhos and AGlyc, upregulating accordingly one
of the two metabolic pathways to satisfy their energetic needs.[18,34]Therefore, the AGlyc of A549 and MDA-MB-231 cells was measured
using their extracellular acidification rate (ECARglyc),
expressed as mpH/min (Figure F–H). Extracellular acidification occurs when glucose
is converted to pyruvate and lactate, accompanied by the extrusion
of protons into extracellular space[50] (Figure F). The cells first
underwent glucose starvation to account for the basal non-glycolytic
acidification, followed by the addition of saturating amounts of glucose
to trigger glycolysis. The formation of the nanofibers at 25 μM
shuts down glycolysis of A549 and MDA-MB-231 to 6 ± 1 and 13
± 3%, respectively (Figure I). The capability of cells rewiring their metabolism[51] was demonstrated by adding oligomycin, the ATP
synthase inhibitor,[48] to prevent OxPhos
and thereby inducing the switch to glycolysis. In the untreated control
cells, the incubation with oligomycin raised the glycolytic activity
by +8.6 ± 1.6 mpH/min (A549) as well as +8.0 ± 1.5 mpH/min
(MDA-MB-231) (Figure J). This adaptation is termed the glycolytic reserve, which is activated
upon mitochondrial stress/dysfunction. On the contrary, inducing the
metabolic switch in cells where 2 I is formed only increases the glycolytic acidification by
only 0.6 ± 0.2 mpH/min for A549 cells and 0.9 ± 0.4 mpH/min
for MDA-MB-231 cells (Figure J). Hence, even under severe stress conditions, aerobic glycolysis
remained low, suggesting that the capabilities of the cells to compensate
for this disruption were limited. To further ascertain that the extracellular
acidification is the consequence of glucose metabolism, 2-deoxy-glucose,
a competitive inhibitor toward glucose hexokinase,[48] was added. By inhibiting the first enzyme of glycolysis
and thus the suppression of ECAR, we demonstrated that the observed
extracellular acidification is an accurate measure of their glycolytic
activities. In summary, the transformation of 1·TAT → 2 has shown the
ability to impair cancer cell fitness by interfering with both OxPhos
and AGlyc and preventing metabolic adaptation, one of the most prominent
features of cancer cells to react and address stress stimuli.[52]
Nanofibers 2NF Induce Early Apoptosis
With
the formation of 2 disrupting
both AGlyc and OxPhos processes, the production of metabolites such
as glucose-6-phosphate (G6P) is investigated. Hence, G6P-related pathways
such as the downstream production of NADPH by G6P dehydrogenase will
be impeded, leading to the downregulation of HDAC activity.[35] Indeed, treated A549 and MDA-MB-231 cells showed
concentration dependent reduction in HDAC activity at 4 h, with 25
μM showing a 25 and 10% decrease, respectively (Figure S66). With the impairment of metabolic
pathways and HDAC activity, apoptosis of the cells was evaluated using
Annexin V-FITC and cell viability assays. At 25 μM, 2 induced the presence of phosphatidylserine
on the external leaflet of the cell membrane, which was detected by
the binding of Annexin V-FITC. This characteristic observation of
early apoptosis suggests that the population of cells were undergoing
the hallmark changes associated with programmed cell death (Figures A and S67).[53] Importantly,
the formation of 2 is effective
at 4 h in both A549 cells and MDA-MB-231 cells, whereas cisplatin
is ineffective at this timeframe. Even with 24 h treatment of cisplatin
at 1 mM, >25% of the cells survived, demonstrating, at first glance,
the mechanistical difference between small molecules and nanostructures
in terms of cellular impact (Figure B,C).[54] The disparity in
time-dependent efficacies of cisplatin and 2 is likewise apparent in the metabolic studies, where
a 4 h cisplatin treatment did not produce observable effects on AGlyc
and OxPhos even at a 10-fold higher (250 μM) concentration (Figure ). It is interesting
to note that even though the formation of nanofibers demonstrates
a more significant impact on oxygen-dependent ATP production on A549
cells compared to MDA-MB-231 cells, the IC50 values of 1·TAT → 2 on both cell lines (60.6 μM/A549; 58.5 μM/MDA-MB-231)
are not significantly different. We hypothesize that upon the critical
assembly concentration of the nanofibers, the damage threshold toward
cellular metabolism has reached a point of no return. At this stage,
any further damage on cells that are already undergoing apoptosis
would not provide additional statistical weight on the overall cell
viability. In comparison, 1·TAT → 2 showed similar cytotoxicity toward non-cancerous
CHO and HEK cell lines (IC50 = 49.8 and 72.3 μM against
CHO and HEK cells, respectively, Figure S68) compared to cancerous cells lines because a similar H2O2 concentration was detected (Figure S69). With these results, we highlight the broad system-level
impact that is cell line independent as these structures affect the
fundamental pathways of cell vitality.
Figure 6
Toxicity of 1·TAT → 2 toward A549 and
MDA-MB-231 cells. (A) Apoptosis
was investigated for A549 cells using Annexin V assay. Cells were
incubated 4 h with 1·TAT (red) and treated with
Annexin V (green) afterward. Nuclei were stained using DAPI (blue).
Annexin V binds to the cell membrane upon an inversion of phosphatidylserine
motifs toward the extracellular space, indicating apoptosis. Scale
bar, 50 μm. (B) Cell viability assay of A549 and MDA-MB-231
cells treated with 1·TAT and cisplatin for 4 h,
revealing viable cells after cisplatin treatment but significantly
reduced cell viability after transformation into 2. (C) Cell viability assay of cisplatin at 24
h. The cell viability was determined using the CellTiter-Glo Luminescence
Cell Viability Assay Kit.
Toxicity of 1·TAT → 2 toward A549 and
MDA-MB-231 cells. (A) Apoptosis
was investigated for A549 cells using Annexin V assay. Cells were
incubated 4 h with 1·TAT (red) and treated with
Annexin V (green) afterward. Nuclei were stained using DAPI (blue).
Annexin V binds to the cell membrane upon an inversion of phosphatidylserine
motifs toward the extracellular space, indicating apoptosis. Scale
bar, 50 μm. (B) Cell viability assay of A549 and MDA-MB-231
cells treated with 1·TAT and cisplatin for 4 h,
revealing viable cells after cisplatin treatment but significantly
reduced cell viability after transformation into 2. (C) Cell viability assay of cisplatin at 24
h. The cell viability was determined using the CellTiter-Glo Luminescence
Cell Viability Assay Kit.
Conclusions
In conclusion, we have designed a pro-assembling
Pt(II) metallo-peptide
that undergoes a step-wise transformation into the NIR emitting nanofibers
within A549 and MDA-MB-231 cells. The Pt-tpy complex directs the supramolecular
order and directionality of the packing within the fiber axis, while
providing NIR photoluminescence. The formation of the nanofibers rapidly
damages energy homeostasis and essential metabolic pathways AGlyc
and OxPhos, preventing the cells from mounting adaptive strategies
that are known, particularly in cancer, to resist specific small molecule
inhibitors, increasing metastasis. Pathways that are intrinsically
linked to ATP production (cytoskeleton) and glucose metabolites (HDAC)
are impaired, confirming the mechanistic origin of the formed 2 nanofiber. Rapid apoptosis is
induced within 4 h compared to cisplatin and found to leverage a similar
potency on both cell types. Collectively, assembly-driven strategies
to design metabolically active materials within cancer cells can be
exploited to induce systemic level effects and compensate limitations
of small molecules and biologics. By demonstrating that complex cellular
functions can be addressed purely by nanostructure formation through
controlled cascade reactions and self-assembly, we showcase a new
avenue to address grand challenges in drug discovery and synthetic
biology.
Authors: Ajit S Divakaruni; Alexander Paradyse; David A Ferrick; Anne N Murphy; Martin Jastroch Journal: Methods Enzymol Date: 2014 Impact factor: 1.600