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Published in final edited form as: ACS Sens. 2020 Mar 10;5(3):686–692. doi: 10.1021/acssensors.9b01812

An Activity-Based Nanosensor for Traumatic Brain Injury

Julia A Kudryashev 1, Lauren E Waggoner 2, Hope T Leng 1, Nicholas H Mininni 1, Ester J Kwon 1,*
PMCID: PMC7534893  NIHMSID: NIHMS1633164  PMID: 32100994

Abstract

Currently, traumatic brain injury (TBI) is detected by medical imaging; however, medical imaging requires expensive capital equipment, is time- and resource-intensive, and is poor at predicting patient prognosis. To date, direct measurement of elevated protease activity has yet to be utilized in order to detect TBI. In this work, we engineered an activity-based nanosensor for TBI (TBI-ABN) that responds to increased protease activity initiated after brain injury. We establish that a calcium-sensitive protease, calpain-1, is active in the injured brain hours within injury. We then optimize the molecular weight of a nanoscale polymeric carrier to infiltrate into injured brain tissue with minimal renal filtration. A calpain-1 substrate that generates fluorescent signal upon cleavage was attached to this nanoscale polymeric carrier to generate an engineered TBI-ABN. When applied intravenously to a mouse model of TBI, our engineered sensor is observed to locally activate in the injured brain tissue. This TBI-ABN is the first demonstration of a sensor that responds to protease activity to detect TBI.

Keywords: Traumatic brain injury, activity-based nanosensor, nanomedicine, calpain-1, protease activity


Traumatic brain injury (TBI) affects over 2.8 million people annually in the United States and leads to the hospitalization of ~300,000 patients per year.1 Among TBI patients who require surgical intervention, there is a 50% lower mortality rate and decreased length of stay if they receive surgery within 4 hours of hospital admission,2 indicating the importance of rapid diagnosis and triage to improve outcomes. However, current diagnosis is achieved by medical imaging, typically computed tomography (CT) and magnetic resonance imaging (MRI), both of which are time- and resource-intensive and have a limited ability to predict patient prognosis.3 Moreover, while medical imaging can identify macroscopic structural deformations in the brain, it currently does not yield information on the destructive biological activity that may unfold after injury This secondary injury, which may include sustained protease activity, inflammation, excitotoxicity, and neuronal death, begins immediately after the primary injury and may lead to chronic neurodegeneration and a poorer patient prognosis.4 Thus, a diagnostic that yields information on biological activity may inform improved clinical care.

Breakdown products shed into the blood and cerebrospinal fluid have been recently investigated as biomarkers to detect pathological processes in TBI.5 These breakdown products originate from the degradation of nervous tissue as part of a prolonged secondary injury that begins within minutes after TBI.6 To date there is only one TBI biomarker-based diagnostic on the market; it is based on two separate ELISAs to measure serum levels of the breakdown products GFAP and UCH-L1.7 However, measurement of these biomarkers relies on the generation, stability, and transport of these byproducts;8 direct measurement of degradative activity may be more representative of disease and therefore provide information that is more actionable for intervention. Calpain-1, a calcium-dependent protease expressed in neurons, glia, and endothelial cells within the brain, undergoes sustained activation after TBI due to pathological elevations of intracellular calcium.6,9,10 Calpain-1 activity generates many breakdown products that are currently under investigation as biomarkers for TBI, including myelin basic protein, neurofilaments, and αII-spectrin.5 Calpain-1 inhibition has been under investigation as a treatment for TBI,11 and its byproducts can potentially predict patient prognosis after mild and severe TBI,12,13 highlighting the importance of calpain-1 in the injury sequelae and its prognostic potential. Thus, the detection of calpain-1 protease activity is a promising candidate for TBI diagnosis.

To explore the potential of activity-based sensors to detect TBI, our goal was to engineer a vascularly-administered sensor that can accumulate in injured brain tissue and produce a signal in response to calpain-1 activity (Figure 1A). A similar activity-based sensor strategy has been demonstrated for the sensitive detection of cancer and liver fibrosis in previous work,14,15 but has yet to be applied to any brain disorders. First, we established increased calpain-1 activity that is independent of calpain-1 expression levels in the first few hours after TBI in mice, validating the need for a sensor of enzyme activity rather than enzyme levels. In order to engineer a diagnostic that can be delivered into the vasculature, we exploit size-dependent accumulation of nanoscale polymeric carriers into the site of injury, where the blood brain barrier (BBB) is compromised and allows extravasation of nanoscale materials. To detect calpain-1 activity, we engineered a FRET peptide which activates in the presence of active calpain-1. Combining the peptide and carrier, we engineered a TBI activity-based nanosensor, TBI-ABN. This TBI-ABN activates at the site of injury in a mouse model of brain injury after intravenous administration. To our knowledge, TBI-ABN is the first demonstration of an activity-based sensor for TBI.

Figure 1.

Figure 1.

Design of a TBI activity-based nanosensor. (A) Overview of TBI-ABN design. (B) Time course post-injury (PI) of αII-spectrin cleavage in CCI-injured cortices. (C) Quantification of calpain-1-specific 145 and 150 kDa αII-spectrin breakdown products (SBDP), normalized to α-tubulin and untreated control (n=3, mean ± SE, *p<0.05, ***p<0.001, two-way ANOVA and Dunnett’s post-hoc test against uninjured control). (D) Time course and (E) quantification of 80 kDa calpain-1 denoted by the arrow normalized to α-tubulin and untreated control (n=3, mean ± SE). Uninjured (U) mice received no surgery. Sham (S) mice received a craniotomy and no injury.

Experimental Section

Synthesis of PEG Conjugates.

Calpain substrate peptide (QSY21-QEVYGAMP-K(Cy5)-PEG2-GC-NH2) was synthesized by CPC Scientific Inc. (Sunnyvale, CA, USA). PEG2 is polyethylene glycol. 8-arm PEG amine and PEG maleimide (tripentae-rythritol) were purchased from Jenkem Technology (Beijing, China). PEG amine was reacted with 1 mole equivalent of VivoTag-S 750 (PerkinElmer, Boston, MA, USA). PEG maleimide was reacted with 1, 2, and 4 mole equivalences of peptide in the presence of 50 mM triethylamine (TEA) and quenched with an excess of cysteine. All conjugates were dialyzed into water, and final concentrations were determined by absorbance of VivoTag or Cy5 using a Spark Multimode Microplate Reader (Tecan Trading AG, Switzerland). The L-cysteine PEG maleimide control was dissolved by weight. Hydrodynamic diameters of unconjugated PEG amine were measured via DLS with a Zetasizer Nano (Malvern Panalytical).

In vitro reaction kinetics assay.

Free peptide and conjugates were incubated with 26.6 nM recombinant human calpain-1 (Sigma-Aldrich) in 50 mM HEPES, 50 mM NaCl, 2 mM EDTA, 5 mM CaCl2, 5 mM beta-mercaptoethanol, 10% mouse plasma in PBS, or 13.5 nM human alpha-thrombin (Haemato-logic Technologies) in TCNB buffer. Mouse plasma was prepared by centrifuging blood collected with EDTA. Fluorescence readings were taken every 90 seconds at 37 °C for 1 hour. Reaction curves were normalized to controls, and their initial velocities were fitted to a Michaelis-Menten curve in GraphPad Prism (8.1.2).

Controlled cortical impact (CCI) mouse model of TBI.

All mouse protocols were approved by the University of California San Diego’s Institutional Animal Care and Use Committee (IACUC). 8–12 week old female C57BL/6J mice (Jackson Labs) were used for all experiments. Mice were anesthetized with 2.5% isoflurane and the head was secured in a stereotaxic frame. A midline incision was made to expose the skull, and a 4 mm diameter craniotomy was performed over the right hemisphere between bregma and lambda. The controlled cortical impact was applied to the exposed dura of the cortex with the ImpactOne (Leica Biosystems) fitted with a stainless steel 2 mm diameter probe at a velocity of 3 m/s and a 2 mm depth.

Biodistribution and in vivo sensor activation.

2 hours after CCI, 2 nmoles of VivoTag-PEG in 100 μL PBS (n=4 each for biodistribution) or 8 nmoles of TBI-ABN in 100 μL PBS (n=6 for sensor activation analysis) were intravenously administered via the tail-vein. Control mice received the same volume of PBS. 2 hours after administration, mice were trans-cardially perfused with USP saline followed by 10% formalin. Fluorescence was measured with an Odyssey scanner (Li-Cor Biosciences) on the same day as collection. Mean fluorescence intensity per area was analyzed using ImageJ.

Immunohistochemistry and sensor quantification in brain tissue slices.

Organs were fixed with 10% formalin solution at 4 °C overnight, equilibrated in 30% w/v sucrose, and frozen in OCT (Tis-sue-Tek). 10 μm thick coronal tissue slices were stained using conventional protocols. The following primary antibodies were used: 1:200 calpain-1 (Abcam, ab108400), and 1:200 CD31 (BD, 553370). Sensor activation was quantified in 3 tissue slices per brain up to 1.5 mm caudal from the center of injury. Cy5 signal in each slice extending 1.5 mm down from the top of the cortex was averaged between slices from each brain then normalized to the signal from uninjured PBS controls using ImageJ. Images were captured with a Nikon Eclipse Ti2 microscope fitted with a Hamamatsu Orca-Flash 4.0 digital camera.

Protein analysis.

At the designated time points after injury, injured and contralateral cortices were harvested and immediately frozen. Sham injured mice received a craniotomy and no injury and tissue was harvested 3 hours after surgery. Western blots were performed following conventional protocols. The following primary antibodies were used: 1:2000 αII-spectrin (Abcam, ab11755), 1:1000 calpain-1 (Abcam, ab108400), or 1:5000 α-tubulin (Cell Signaling, 3873). Membranes were imaged on a Li-Cor Odyssey scanner and densitometric analysis of the western blots was done in ImageJ.

Software and Statistics.

All data was analyzed in GraphPad Prism (8.1.2). All post-hoc tests were conducted with p<0.05 to identify statistical significance between samples. All images were analyzed with ImageJ (1.52p).

Results and Discussion

Calpain-1 locally activates in a mouse model of TBI

We first established the levels of calpain-1 activity and protein levels in a mouse model of TBI. The controlled cortical impact (CCI) model of TBI is a reproducible and well-characterized method to create a localized injury in the brain.1618 To assess calpain-1 activity, 150 kDa and 145 kDa breakdown products of the native calpain-1 substrate αII-spectrin were measured, as described previously.19 These spectrin breakdown products (SBDP) were shown to increase to greater than 10-fold in the injured hemisphere at 3 hours post injury compared to uninjured brains (Figure 1B, C). This increase was sustained up to 96 hours post injury. By contrast, the uninjured, contralateral hemisphere did not show significant elevation of SBDPs. A sham control group that underwent a craniotomy but no injury exhibited similar levels of SBDPs to uninjured mice, confirming that spectrin proteolysis was the result of direct impact to the brain tissue and not the surgical procedures. We thus establish that calpain-1 activity is increased after CCI and activity is localized to the injured hemisphere, consistent with previously reported rodent models of CCI.17,1921

To determine that increased spectrin cleavage was due to increased activity of calpain-1 and not increased levels of calpain-1, calpain-1 protein levels were also measured. No significant changes were observed in the protein levels of the 80 kDa large subunit of calpain-1 between injured and uninjured brains (Figure 1D, E). Furthermore, assessment of calpain-1 via immunohistochemistry of brain slices showed only a local increase in calpain-1 detected 4 hours post-injury in the immediate injury area, whereas calpain-1 levels appeared to be unchanged in the uninjured cortex and the greater injury periphery when compared to uninjured brains (Figure S1). These results indicate that the observed increase in αII-spectrin proteolysis (Figure 1B) is likely due to increased calpain-1 activity and not increased calpain-1 expression. Previous studies have shown that calpain-1 expression can be increased after injury, but its elevation is delayed by ~24 hours.22 Therefore a sensor to detect calpain-1 activity may be effective in the first few hours after TBI.

Large molecular weight polymeric carriers accumulate in the site of injury after CCI.

We next focused on a nanoscale delivery carrier for our nanosensor. Shortly after TBI, the vasculature at the site of injury is compromised due to the mechanical damage followed by dysregulation of the neurovascular unit.23,24 This pathological hallmark of TBI allows for the delivery of nanoscale cargo to the brain within the first 24 hours after injury, similar to the enhanced permeability and retention (EPR) effect described for nanoparticles in tumors.25 On their own, small peptides have a short circulation half-life in vivo due to renal clearance and proteolytic degradation in the bloodstream. We hypothesized that blood circulation time and subsequent tissue retention of the peptide would increase through its conjugation to a larger, neutrally-charged, and minimally immunogenic polymeric carrier such as polyethylene glycol (PEG).26 While studies have been done on the biodistribution of rigid nanoparticles, including PEGylated polystyrene nanoparticles and liposomes after TBI,27,28 and polystyrene nanoparticles after microdialysis probe insertion,29 there has not yet been a study into the distribution of PEG after TBI. To maximize the delivery of the TBI nanosensor through the compromised BBB after injury, we evaluated how the molecular weight of 8-arm PEG affects its accumulation into the injured tissue after CCI injury. 8-arm PEG was chosen as the carrier because it allows for the possibility of multiplexing through conjugation of ligands to each individual arm. 10 kDa, 20 kDa, and 40 kDa PEG carriers were evaluated for distribution into major organs after intravenous injection 2 hours after CCI in mice (Figure 2A, S2). This timeline was chosen to be within the initial 4 hours of secondary injury after CCI when a quick diagnosis and intervention of calpain is critical.17 The highest accumulation for 10 kDa PEG was seen in the kidneys with little accumulation in the brain, whereas the 20 kDa and 40 kDa PEG had significant accumulation in the injured brain and significantly less accumulation in the kidneys compared to the 10kDa PEG. In the brain, 20kDa and 40kDa PEG accumulated significantly more in the injured hemisphere than in the contralateral hemisphere by approximately 7-fold and 5-fold respectively (Figure 2B). The hydrodynamic radius of each carrier in PBS was measured to be 5.57 nm, 7.89 nm, and 10.25 nm for 10 kDa, 20 kDa, and 40 kDa PEG, respectively (Figure 2C). 10 kDa PEG is near the ~5 nm limit for renal filtration,30,31 which is reflected in its significant accumulation into the kidneys compared to the 20 and 40 kDa sizes. All three carriers are smaller than the 500 nm size range of materials which have been observed to extravasate into injured tissue following TBI.28,32 Thus, 8-arm PEG polymer carriers greater than 20kDa in size can accumulate in the injured brain.

Figure 2.

Figure 2.

Large molecular weight PEG carriers localize to the region of injury in a mouse model of TBI. (A) Fluorescence image of major organs after intravenous injection of fluorescently-labeled PEG of various sizes (left) were quantified and signal normalized to PBS injected animals (right) (n=4, mean ± SE, *p<0.05, **p<0.01, ****p<0.001, ordinary one-way ANOVA and Tukey’s post-hoc test compared within each organ). (B) PEG distribution in injured or contralateral brain hemispheres (n=4, mean ± SE, ***p<0.001, ****p<0.0001, two-way ANOVA and Sidak’s post-hoc test within each size). (C) Size distribution of 10 kDa, 20 kDa, and 40 kDa PEG.

Calpain substrate responds to calpain-1 activity.

To detect calpain-1 activity, we synthesized a calpain-1-responsive peptide comprised of the FRET pair Cy5 and QSY21 separated by a calpain-1-specific cleavage sequence (QEVYGAMP) taken from the native mouse αII-spectrin sequence (Figure 3A).33 To measure kinetics of cleavage by calpain-1, several concentrations of peptide were incubated with recombinant calpain-1 enzyme in vitro and peptide cleavage was measured by dequenched Cy5 fluorescence (Figure 3B). Because blood cleavage is a major concern for a sensor administered intravenously, non-specific cleavage of our peptide by blood components was examined by incubation with mouse plasma or human alpha-thrombin. No significant cleavage of our substrate was observed (Figure 3C). This peptide was then conjugated to 40 kDa 8-arm PEG in order to increase its circulation time and retention in injured brain tissue when applied in vivo (Figure 2). 40 kDa PEG was used over 20 kDa PEG in order to increase solubility of the peptide, as precipitates were observed with 20 kDa conjugates. Multiple ratios of peptide:PEG were assessed via the same in vitro kinetics assay to optimize for sensor signal in response to calpain-1. It was observed that the conjugation of peptide:PEG in a 1:1 stoichiometric ratio led to a decrease in fluorescent signal (Figure 3B) as well as maximum cleavage velocity (Figure 3D) compared to free peptide. For example, the maximum cleavage velocity of peptide at an 8 μM concentration decreased from 1677.5 RFU/min to 692.1 RFU/min with conjugation. This decrease was not observed with peptide in the presence of free unconjugated PEG (Figure S3), suggesting that the direct conjugation of the peptide to PEG impacts peptide cleavage by calpain-1. The addition of multiple peptides:PEG in 2:1 and 4:1 conjugates led to further decreased cleavage velocities compared to 1:1 conjugate or free peptide (Figure 3D). Conjugates of 8:1 peptide:PEG precipitated out of solution, suggesting that the increased local concentration of peptides created by physical linkage to a polymeric carrier leads to a decrease in solubility. Due to the benefits of brain accumulation afforded by the PEG, a 1:1 stoichiometric ratio of peptide and PEG carrier was further evaluated in animal models of TBI.

Figure 3.

Figure 3.

Calpain substrate is cleaved by calpain-1 as free peptide and when conjugated to PEG carrier. (A) Schematic of calpain substrate peptide, conjugated to 8-arm PEG to form TBI-ABN (Q=quencher, F=fluorophore). (B) Cleavage of free peptide (left) and 1:1 peptide:PEG (right) with recombinant human calpain-1 (n=3, mean ± SD). (C) Cleavage of 8 μM peptide with recombinant human calpain-1, mouse plasma, or human alpha-thrombin (n=3, mean ± SD). (D) Michaelis-Menten reaction kinetics of peptide:PEG ratios of 1:0, 1:1, 2:1, and 4:1 calpain-1 cleavage (n=3, mean ± SD).

TBI-ABN activates in injured brain tissue after CCI.

Finally, we tested the activation of the TBI nanosensor in a mouse model of TBI. We have established that calpain-1 has increased activity independent of expression after brain injury, greater than 20 kDa molecular weight PEG can accumulate in the injury site, and a FRET peptide substrate is cleaved by calpain-1. Extracellular release of calpain-1 and its substrates by necrotic neurons after injury has been observed in previous studies;5,34 we therefore expect activation of our nanosensor without the need for cell internalization. Increased calpain-1 activity and intravenous access to the brain both occur within the same 4-hour time scale post-injury, so we expect that our TBI-ABN can localize and activate in the injured brain. We note that diagnosis of TBI within this 4-hour window has been demonstrated to be crucial to decrease patient morbidity.2

Mice were intravenously injected with sensor 2 hours after CCI injury and evaluated for sensor activation 2 hours after injection. In the first hours after CCI, focal neurodegeneration has been previously been shown to extend from the injury site down to the hippocampus;17 based on these observations, the top 1.5 mm of coronal brain slices were analyzed for sensor activation after fluorescent imaging. The sensor showed significant activation in the injured brain hemisphere with a higher activated sensor signal compared to background signal from both injured and uninjured brains (Figure 4AC). There was minimal activation of the sensor in uninjured brains, likely due to unchanged calpain-1 activity (Figure 1B) and intact BBB. Additionally, there was little difference in signal in uninjured brains and the contralateral hemisphere of injured brains (Figure 4D, S4). These results provide evidence that the sensor produces a signal in response to injury.

Figure 4.

Figure 4.

Calpain sensor activates in injured brain tissue after intravenous delivery. (A-C) Representative coronal brain slices from injured and uninjured brains. (blue, nuclei; red, activated nanosensor; scale bar = 500 μm). (D) Quantification of mean sensor intensity in the injured hemisphere normalized to uninjured control brains (n=6, mean ± SE, *p=0.0851, ordinary one-way ANOVA and Sidak’s post-hoc test). (E) Map and (F) insets from slices adjacent to Fig. 4A showing sensor localization relative to (i) calpain-1 and (ii) CD31 in the injury periphery (blue, nuclei; red, activated nanosensor; green, calpain-1 (top) or CD31 (bottom); outlined arrows, overlap of sensor with CD31; scale bar = 100 μm).

We additionally investigated cellular distribution of sensor activation. Since the TBI-ABN was delivered through an intravenous injection, we assessed TBI-ABN activation in relation to the vasculature by staining for calpain-1 and the endothelial marker, CD31. In the injury periphery, activated TBI-ABN signal was found in proximity to calpain-1 and some signal was also positively stained for endothelial cells (Figure 4E,F). Signal was also detected in the hippocampal CA1 region and dentate gyrus (Figure S5), regions which are identified as sites of extravasation and neurodegeneration following CCI.18,24 Neurons, glia, and endothelial cells populating these regions are known to experience calcium influxes and abnormal calpain activation following injury,6,9 and are therefore potential sources for TBI-ABN signal.

Conclusions

We engineered a TBI activity-based nanosensor, TBI-ABN, which responds to calpain-1 activity, accumulates in injured brain tissue, and activates in a mouse model of brain injury. To our knowledge, our engineered TBI-ABN is the first sensor to detect enzyme activity in TBI and is a proof-of-concept for the development of future activity-based diagnostics for TBI. Activity-based sensors are gaining significance for their ability to be engineered in response to specific biological stimuli, allowing for the capture of pathological processes that cannot be detected by conventional molecular quantification methods.35 There are notable examples of activity-based sensors in cancer: fluorescently activated polymers can identify tumor margins during surgical resection36,37 and urinary sensors can detect and stratify tumors.14,15,38 Based on these advances in cancer, measuring protease activity with an activity-based sensor to diagnose TBI is a promising strategy.

Now that we have established that a vascularly-delivered sensor can activate in brain injury in response to protease activity, in future work the TBI-ABN will be engineered to release biomarkers for minimally-invasive blood-based detection. Signal specificity can be increased by multiplexing substrates for the detection of proteases such as MMP-9, which has local increases in activity following TBI and contributes to BBB breakdown.39 To further enhance sensitivity and increase tissue accumulation and retention, we can add active targeting ligands, for example peptides that bind extracellular matrix components exposed after injury.4042 In the long-term, TBI-ABN can be paired with inhibitors of protease activity, such as small molecule inhibitors of calpain-111 to create nanotheranostics that can detect and treat TBI.

Supplementary Material

Supplementary Information

Funding Sources

JAK is supported by the National Science Foundation (NSF) Graduate Research Fellowship Program under Grant No. DGE-1650112. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.

ABBREVIATIONS

ABN

activity-based nanosensor

BBB

blood-brain barrier

CCI

controlled cortical impact

DLS

dynamic light scattering

TBI

traumatic brain injury

Footnotes

Supporting Information. Calpain-1 distribution in brain slices; traced organs for biodistribution; kinetics conjugation control; sensor signal in uninjured hemispheres; sensor localization in areas of extravasation. This material is available free of charge via the Internet at http://pubs.acs.org.

The authors declare no competing financial interest.

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