Abstract
Background
Rapid diagnosis for time-sensitive illnesses such as stroke, cardiac arrest, and septic shock is essential for successful treatment. Much attention has therefore focused on new strategies for rapid and objective diagnosis, such as Point-of-Care Tests (PoCT) for blood biomarkers. Here we use a biomimicry-based approach to demonstrate a new diagnostic platform, based on enzymes tethered to nanoparticles (NPs). As proof of principle, we use oriented immobilization of pyruvate kinase (PK) and luciferase (Luc) on silica NPs to achieve rapid and sensitive detection of neuron-specific enolase (NSE), a clinically relevant biomarker for multiple diseases ranging from acute brain injuries to lung cancer. We hypothesize that an approach capitalizing on the speed and catalytic nature of enzymatic reactions would enable fast and sensitive biomarker detection, suitable for PoCT devices.
Methods and findings
We performed in-vitro, animal model, and human subject studies. First, the efficiency of coupled enzyme activities when tethered to NPs versus when in solution was tested, demonstrating a highly sensitive and rapid detection of physiological and pathological concentrations of NSE. Next, in rat stroke models the enzyme-based assay was able in minutes to show a statistically significant increase in NSE levels in samples taken 1 hour before and 0, 1, 3 and 6 hours after occlusion of the distal middle cerebral artery. Finally, using the tethered enzyme assay for detection of NSE in samples from 20 geriatric human patients, we show that our data match well (r = 0.815) with the current gold standard for biomarker detection, ELISA—with a major difference being that we achieve detection in 10 minutes as opposed to the several hours required for traditional ELISA.
Conclusions
Oriented enzyme immobilization conferred more efficient coupled activity, and thus higher assay sensitivity, than non-tethered enzymes. Together, our findings provide proof of concept for using oriented immobilization of active enzymes on NPs as the basis for a highly rapid and sensitive biomarker detection platform. This addresses a key challenge in developing a PoCT platform for time sensitive and difficult to diagnose pathologies.
Introduction
There is pressing need for quick and objective diagnostic technologies for both time sensitive and difficult to diagnose pathologies. Much attention has therefore focused on the identification of disease-specific peripheral biomarkers, and use of new technologies to improve antibody-based detection capabilities. This interest is well justified because of the enormous medical, social and economic impacts of these diseases, in both developed and developing countries. This manuscript presents data about an alternative technological approach to biomarker detection—the use of enzymes tethered to NPs. For proof of principle, we’ll focus on a single biomarker, NSE, that has been suggested to have value for diagnosing various pathologies (particularly those involving the central nervous system). No single biomarker is known to be sensitive and specific enough to diagnose a complex neural disease state. Rather, we present these data as proof of principle for the underlying diagnostic platform suitable for rapid detection of biomarker analytes.
Stroke is one of the best examples of a brain disease that is both hard to diagnose and time sensitive, annually affecting over 15 million people. Of these, 5 million die and an additional 5 million are left permanently disabled [1]. Currently, its diagnosis relies on neurologists to distinguish stroke from mimics using advanced imaging tests (e.g. CT, MRI) in order to determine whether the stroke is ischemic or hemorrhagic. If appropriate, thrombolytic treatment can then be initiated, but is most effective only within a short 3–4 hour window from onset [2]. Remarkably, due to the time constraints for initiating effective treatment, lack of prompt diagnosis for ischemic stroke results in less than 4% of patients in the US receiving thrombolytic therapy [3]. In addition to rapid diagnosis of stroke, there is growing military and civilian need for PoCT devices that provide objective, biomarker-based, diagnostic and prognostic information regarding traumatic brain injuries (TBI/concussion), and neurodegenerative disease [e.g. Alzheimer’s disease (AD), Parkinson’s Disease (PD)]. For these brain injuries, an objective PoCT could lead to interventions beginning early upon the onset of disease as well as provide a platform to monitor disease progression or response to therapy. From a global perspective, the increasing incidence of stroke in developing countries [4], the high cost and limited availability of health resources associated with stroke diagnosis, significantly reduces favorable outcomes [5].
Traditional technologies for blood biomarker diagnostics include ELISA, PCR, and mass spectrometry (MS). However, these technologies are limited to laboratory use because they require sample preparation, and use of sophisticated instruments and highly trained technicians. Moreover, they are time and labor intensive, and are expensive [6]. Much of the research on detection of blood biomarkers has focused on antibody-based methods. Although there has been considerable progress in the field, such as the introduction of lateral flow based assays, constraints due to the speed of antibody-antigen interactions, low sensitivity, semi-quantitative results and the complexity of associated detection instrumentation have thus far prevented such antibody capture methods from becoming the basis for a field-capable PoCT device to detect brain injuries [6].
Over the last few decades, a large number of molecules have been studied for their potential usefulness as blood-borne biomarkers. Although no single biomarker will likely provide a definitive diagnosis of any disease, the glycolytic enzyme, NSE, is released from damaged neurons and has been suggested to be valuable for the diagnosis of various brain injuries [7] [8] [9]. Evidence also supports its usefulness as a prognostic indicator in predicting neurological outcomes of post-cardiac arrest [10] and mild TBI [11]. NSE has been suggested to be useful in distinguishing stroke from mimics, an important first step in expediting the diagnostic process [7]. In addition, it has been suggested that changes in serum NSE levels may indicate changes in brain morphology in AD [12]. Overall, changes in plasma NSE levels are of clinical significance to several of the major brain injuries, making it an excellent first candidate to test a new diagnostic platform technology.
As an alternative to antibody capture, fluid phase enzymatic reactions have been used to detect plasma NSE by means of its enzymatic activity [13] [14]; however, in the 30 years since these assays were first described, to our knowledge, no related PoCT technologies have been reported. Semi-solid phase bioluminescence detection of NSE through its binding to immunobeads enabled high sensitivity detection [15]. However, this method required long serum-bead incubation times and did not tether the downstream enzymes (i.e. PK and Luc). Tethering enzymes has several advantages for a PoCT, such as concentrating the detection reaction, spatially localizing the readout, and potentially improving shelf life. The principle obstacle lies in maintaining enzymatic function when immobilizing enzymes. Immobilization often interferes with substrate binding sites and/or needed conformational changes [16].
To overcome this obstacle, we adopted a strategy of biomimicry, inspired by the tethering of glycolytic enzymes to a cytoskeletal scaffold in the sperm flagellum, where they provide localized energy production [17] [18]. We previously showed that oriented immobilization via genetically-encoded binding domains conferred advantages in specific activity versus either random adsorption or chemically-specific binding [19, 20]. Here, we extend our previous studies [19] [20] in a novel direction, to generate a PoCT platform based on enzymes tethered to nanoparticles via biomimetic oriented immobilization (Tethered Enzyme Technology, TET). Our approach couples production of ATP by PK with activity of firefly luciferase (Luc) to generate a highly rapid and sensitive bioluminescent readout for the detection of NSE. As a tethering scaffold for the PoCT device, we employed SiO2 nanoparticles for their many positive attributes: high biocompatibility, low optical absorption, dispersibility, high surface area, and the ability to be integrated into various devices with spatial control. We hypothesized that oriented immobilization of PK and Luc on SiO2 NPs could provide the basis for highly rapid, quantitative and sensitive detection of NSE through an enzymatic cascade reaction in a form suitable for use in a PoCT.
Results
We have previously shown that oriented immobilization of the glycolytic enzymes, TPI and GAPDH, enhances both their individual activities as well as the activity of their coupled sequential reactions in comparison to enzymes tethered via chemically-specific but non-oriented carboxyl-amine binding [20]. To test whether this would hold true for the coupled sequential reactions of PK and the non-glycolytic enzyme Luc, we generated mammalian PK and Luc expression plasmids, each as a fusion protein with two affinity tags, as described in the Materials and Methods section. Each of the constructs included an amino-terminal silica-binding peptide sequence (Si-tag) [21, 22] for immobilization of proteins onto SiO2 nanoparticles (Si-NPs) and a 6xHis-tag to be used for protein purification (Fig 1A, see also S1 Fig).
To test our hypothesis that oriented immobilization would impart an improvement on the specific activity of the coupled reaction (Fig 1B), we measured the coupled activities of various combinations of tethered and free PK and Luc (Fig 1C and S2 Fig). Analysis of all four possible combinations revealed a significant increase in the readout signal when Luc was immobilized (green triangles, 3.01±0.2 fold, p<0.001) and an even larger increase upon immobilization of both Luc and PK (black circles, 4.25±0.12 fold, p<0.001). When Luc was in solution (not tethered), the coupled activity of the PK-Luc reaction was reduced, regardless of whether PK was in solution or tethered, suggesting that having Luc in close proximity with the source of ATP production (PK) was crucial for increased coupled reaction efficiency.
To investigate further the source of the improvement in Luc activity when tethered, we compared Luc in-solution versus immobilized. In agreement with previous findings [23], our measurements revealed a 10-fold average reduction in the sensitivity to ATP of immobilized Luc (data not shown). However, Luc tethered on the Si-NPs exhibited extended photon emission dynamics, with a slower decay rate when compared to the soluble protein (S2B Fig). The differences in the enzymatic activity of immobilized Luc might result from a change in diffusion resistance and/or a slowing of kinetics due to conformational constraints. In terms of the PK-Luc coupled reaction, the reduction in Luc sensitivity was most likely compensated for by the prolonged emission kinetics. For example, placing Luc in closer proximity to PK (such as occurs with particle packing) would enhance the efficiency of ATP channeling by reducing the diffusion distance and effective local reaction volume, thereby increasing the effective local concentration of ATP, and enhancing luminescence output. Additional investigations of the impacts of enzyme tethering/proximity can be found as supplemental material (S2 and S4 Figs).
We next hypothesized that the increased efficiency of the immobilized coupled reactions might provide a sensitive and rapid luminescence based assay for detection of the biomarker NSE, through a 3-step coupled reaction as follows–enolase/NSE catalyzes the conversion of 2-phosphoglycerate (2-PG) to phosphoenolpyruvate (PEP), PK in turn converts PEP and ADP to pyruvate and ATP, with the latter being used by Luc to generate a photon of light. We first tested this hypothesis using the non-neuronal isoform α-enolase (ENO). The sensitivity of the tethered enzymes (red, PK and Luc tethered separately to NPs) was significantly higher than that of freely diffusing enzymes (blue) when detecting ENO activity (Fig 2A). In particular, higher sensitivity of the PK-Luc coupled reaction was observed at lower ENO concentrations (Fig 2A inset).
Next, we sought to determine whether the NP-PK and NP-Luc coupled reaction could detect physiologically relevant concentrations of human NSE (< 8.7 ± 3.9 ng/ml [24]). Fig 2B shows a representative dose response experiment where sub-physiological amounts of commercial human NSE were added to the reaction mixture in the presence of NP-PK and NP-Luc (tethered separately). The luminescent signal generated by Luc was integrated over 10 minutes, showing statistically significant differences for each concentration of NSE. These results indicate that using immobilized PK-Luc coupled reactions provides sub-physiological sensitivity for NSE, at concentrations well below typical pathological plasma levels, with rapid detection times.
The improved sensitivity and kinetics of NSE detection with the tethered coupled enzymatic reactions encouraged us to test our biomarker detection assays in the complex environment of blood plasma. For these experiments, we used a rat model for stroke, in the form of a focal stroke that was induced by clotting the distal branches of the middle cerebral artery (MCA). Peripheral blood samples from experimental stroke and sham-operated control rats were taken 1 hour before and 0, 1, 3 and 6 hours after occlusion of distal MCA branches. Luminescence output was integrated over 10 minutes from the NSE-PK-Luc coupled reaction (PK and Luc tethered separately to NPs), but with the active NSE originating from the damaged/dying neurons. Stroke-induced cell death in the rats was confirmed with Fluoro-Jade C staining (see details in Materials and Methods section). The volume of brain with damaged neurons was on average 11.25±4 mm3 (n = 4, 3A) in the stroke animals, and 0.002±0.001 mm3 in the sham-operated controls (3B n = 4). Integrated luminescence values at each time point were calculated by subtracting a negative control reaction (lacking the NSE substrate, 2-PG) from the test reaction (that included 2-PG). Fig 3E summarizes the data collected from 10 rats (5 stroke and 5 control), showing a statistically significant increase in NSE levels as soon as 1 hour post-occlusion, whereas control rats showed no increase in plasma NSE levels (detailed time point data for each rat are provided in panels 3C and 3D).
Next, we compared results from our tethered enzyme technology (TET) versus quantification of the rat NSE as obtained from a commercial ELISA kit, which is currently the standard detection technology. Consistent with the results from the coupled enzymatic assay at that same time point, the ELISA revealed a 2-fold increase in NSE concentration at 6 hours post stroke (Fig 3F). No elevation was found in non-neuronal isoforms of enolase (NNE) as measured using a NNE ELISA kit (data not shown), demonstrating that the source of enolase activity that we measured was indeed NSE. Importantly, while the measurements of NSE concentration using the “gold standard” ELISA assays took over 3 hours, the TET based assay provided results within 10 minutes.
Moving forward from an animal model, we next tested TET’s ability to detect NSE in the even less defined environment of human plasma. Blood samples were collected from consenting patients seen at the Central New York Alzheimer’s Disease Assistance Center (ADAC) at SUNY Upstate Medical University using Na-Heparin tubes. Plasma was then divided with a portion of the sample tested immediately using TET and the rest frozen at -80°C for later confirmation via commercial ELISA. We ran this experiment using TET in the form of a first generation PoCT technology for human NSE testing. Namely, reactions were designed to work with minimal plasma volume in white 96 well plates in which all test and control reaction components had been lyophilized. 10 μl of freshly collected plasma was added into pre-loaded wells and the light output was measured with a conventional plate reader. TET reaction reading was completed within 10 minutes from the addition of plasma to the pre-loaded wells, where each test included triplicate negative control wells (reaction lacking 2PG), positive control wells (pre-loaded with enolase) and test wells, so that a total of 90 μl of plasma was used for each subject tested (a volume able to be obtained from less than 4 drops of blood). Importantly, using a positive control reaction including known amounts of spiked Eno, allowed us to normalize the data between experiments and minimize any variabilities that might arise from batch to batch differences in enzyme activity. To validate the accuracy of the TET results (representative data shown in Fig 4A), plasma samples were sent for lab testing (ARUP labs, Salt Lake City, UT). Using a Pearson’s correlation test, we compared TET and ELISA data finding a significant correlation of 0.81 between the two approaches (Fig 4B).
Discussion
Our results suggest that enzymes tethered via oriented immobilization can provide a PoCT platform enabling simple, rapid and objective testing for biomarkers associated with hard to diagnose and time sensitive diseases. We focused on NSE for this proof of concept because it has been shown to convey clinically relevant information for several brain injuries and cancers.
Immobilized enzymes present several important advantages for medical applications including stability and spatial organization in a device, whether with a microfluidic card or paper chromatography. Of note, our data show that oriented enzyme immobilization also significantly improved the efficiency with which coupled enzymatic reactions occurred. This is of special importance because use of coupled enzymatic reactions allows signal amplification at both the stages of biomarker detection and transduction of signal into the luminescent readout. When combined with the inherently enhanced sensitivity and speed of catalytic activity, tethered enzymes provide some of the highly desired features expected from a PoCT diagnostic platform. Demonstrating their suitability for this purpose, we showed in vitro the advantages of using tethered versus soluble enzymes. We showed that TET-based systems could detect physiologically and pathologically relevant concentrations. Importantly, the immobilized enzyme-based detection system provided an ultra-rapid analysis (i.e. within 10 minutes) even when using plasma samples obtained from rat stroke models or human patients.
The high correlation between ELISA and TET suggests circulating NSE enzymatic activity corresponds very well with the amount of protein. This comparison between TET and ELISA in detection of NSE raises another important finding regarding the dynamic range for detection provided by these two methods. Whereas the ELISA method provides a linear detection range, the enzyme-based assay offers close to a 2-fold larger dynamic range (as defined by the difference between the smallest and largest usable signal, and calculated from the max to min values for each assay). Along with the increased assay speed (minutes for TET vs. hours for ELISA), minimal user effort (TET is a “mix and test” assay, while ELISA requires multiple wash steps), this finding revealing the increased sensitivity of TET versus antibody capture techniques provides another feature contributing to the improvements of TET over ELISA.
One potential criticism of use of tethered enzymes is that the range of biomarkers able to be detected through enzymatic reactions represents a limited subset of target analytes. However, there are numerous biomarkers with bona fide enzymatic activity (e.g. nucleoside diphosphate kinase A; NDKA [25], and phosphoglycerate mutase; PGM [26]), or are modulators of enzyme activity (e.g. calcium [27], magnesium [28]), or are substrates and metabolites of enzymatic reactions (e.g. glutamate and glucose [29]). Currently, no single biomarker, including NSE, can accurately and definitively diagnose any disease. Therefore, we are designing and testing TET-based approaches for multiple classes of target analytes, beyond enzymes. This will allow us to simultaneously quantify suites of biomarkers, significantly increasing the accuracy and robustness of the diagnostic test.
Together, our data support further investigations of enzymes tethered to NPs via oriented immobilization in PoCT diagnostics. The advantages of spatial control of enzyme activities, and rapid and sensitive detection with signal amplification at both detection and transduction into luminescence output, combine to make TET a highly attractive alternative to antibody-based detection. These attributes are especially attractive for integrating TET into a PoCT technology for use by paramedics, athletic trainers and in the field. In terms of lack of need for excitation, low power requirements, and potential telemedicine capability, this technology is potentially game-changing for health care management in rural areas and developing countries.
Materials and Methods
Ethics Statement
All research involving human participants (including consent forms and procedure) was approved by Cornell (#1410005002) and SUNY Upstate (#623458–5) IRBs. Written and verbal consent were obtained from participating subjects or health care surrogates and documented according to best practices. Samples were given de-identifying codes to ensure participant confidentiality. All animal procedures were reviewed and approved by the Cornell University Institutional Care and Use Committee (#2009–0043) and were conducted in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals (published by NIH).
Experimental Design
The aim of this study was to explore the advantages of utilizing enzymes tethered via oriented immobilization in the detection of NSE, a neuronal injury biomarker, towards development of a PoCT technology for time sensitive illnesses.
The study was designed to follow 3 successive stages: (i) Test the enzyme-based assay in vitro to examine the effects of oriented enzyme immobilization on the sensitivity and efficiency of the solid phase vs fluid phase reaction. (ii) Test the tethered enzyme assay in plasma from a rat stroke model. Here, to simulate stroke, 2 groups of rats underwent craniectomy under anesthesia, and branches of the MCA were cauterized in the test group. Peripheral blood samples were drawn over a time period of 6 hours to monitor changes in NSE level. Finally, the changes in NSE levels as measured with TET were compared to those obtained with ELISA. (iii) Use pre-filled 96 well plates in a comparative analysis of NSE plasma levels in samples taken from human subjects and measured by both the solid phase TET reaction and ELISA.
Reagents
Enliten ATP detection kit was purchased from Promega (Madison, WI). 2-PG, PEP, ADP, ATP, luciferin, PK antibody, NSE, and yeast α-enolase were from Sigma (St. Louis, MO). pcDNA4/HisMax TOPO TA vector was from Invitrogen (Carlsbad, CA). Si-NPs (500 nm) were purchased from Spherotech Inc. (Lake Forest, IL).
Construction of His-Si4 fusion proteins
The complementary deoxyribonucleic acid (cDNA) of PK was obtained by reverse-transcription polymerase chain reaction (RT-PCR) from mouse muscle RNA. The Luc2 sequence was amplified from the Luciferase2 plasmid, Promega (Madison, WI).
His-PK and His-Luc were generated by TA cloning of PK and Luc into pcDNA4/HisMax TOPO TA. To generate the His-Si4 vector, two complementary oligonucleotides (Integrated DNA Technologies, Inc. USA) encoding the Si4 sequence [22] with overhanging A were hybridized and cloned into the TA site of the pcDNA4/HisMax TOPO TA plasmid, followed by restriction/ligation of PCR fragments of PK and Luc to make His-Si4-plasmids. Subsequently, the Si4-PK and Si4-Luc sequences were amplified by PCR and inserted into pcDNA3.1 to make Si4-PK and Si4-Luc. Constructs were validated by sequencing and amplified in TOP10 cells and then purified.
Protein expression and purification
HEK293-F-FreeStyle cells (Invitrogen, Grand Island, NY) were transfected with plasmids encoding His, His-Si4 or Si4 fusion proteins using the Freestyle MAX reagent (Invitrogen, Grand Island, NY) and incubated for 24–72 hrs in 8% CO2. Cells were harvested and lysed by sonication (Sonifier 250, Branson, Danbury, CT). His-tag or His-Si4 fusion proteins were purified on Ni/NTA beads as previously described [30], with the exception that the Si4 tag was used to immobilize PK on silica NPs directly from the cell lysate (S1D and S1E Fig), providing a fast and simpler purification process.
Enzymatic activity assays
Enzyme activities for both single and coupled reactions were assessed via luminescence output, in sodium phosphate buffer (50 mM) supplemented with MgCl2 (5 mM) and KCl (20 mM). The forward reaction for PK is: PEP + ADP → pyruvate + ATP. The forward reaction for Luc is: ATP + luciferin + Mg 2+ → hν. The PK and Luc coupled reaction is: PEP + ADP → pyruvate + ATP + luciferin → hν. All experiments were carried out in 96-well black or white plates at room temperature. Purified or immobilized PK was mixed with Enliten luciferase/luciferin reagent in addition to ADP and PEP as indicated for individual experiments. Purified or immobilized Luc was mixed with luciferin, Mg2+, K+ and ATP as indicated in individual experiments and activity was monitored by means of light emission as detected by a luminometer (GloMax, Promega, Madison, WI), where the luminescence signal was integrated for 3 seconds every minute for up to 50 minutes, as indicated per each experiment. To assess the activity of the coupled reactions, PK and luciferase were mixed as indicated above, with luciferin, ADP and PEP, and light emission was measured by luminescence. To maximize enzyme activity per NP, protein was added in saturating amounts to the NPs [31].Data processing and analysis were carried out using Excel (Microsoft) and Origin (Origin Lab, Northampton, MA). In experiments with internal repetitions, data are presented as average ± standard deviation. Otherwise, representative experiments are shown that were repeated independently at least three times with similar results.
Detection of NSE in rat stroke model
Surgery and occlusion
Male Sprague-Dawley rats (Charles River, Wilmington, MA) with average weight 400 g (std. dev. 83 g, range 260–530 g) were used in these experiments. Only males were used, to eliminate potentially confounding effects from the stage of estrus cycle. Animals were anesthetized with 5% isoflurane in oxygen and were maintained on 1.3–2.0% isoflurane. Anesthesia was adjusted to maintain both constant breathing rate of ~1 Hz, measured manually, and suppression of pedal withdrawal reflex. Rats were free breathing. In previous work [32], we have found that with these parameters it is not necessary to artificially ventilate animals for consistent cortical blood flow. Body temperature was maintained at 37.5°C with a feedback controlled rectal thermometer. Glycopyrrolate (50 mg/100 g rat) was injected intramuscularly to suppress fluid buildup in the lungs. Rats were placed in a stereotaxic device and incision locations were shaved, cleaned and injected with bupivacaine (0.125%, s.c.) for analgesia. The femoral artery was catheterized with PE 50 tubing for arterial blood draws. The skin and muscle on the right side of the skull were retracted, and a craniectomy was drilled from the temporal bone to just above the zygomatic arch. The dura was reflected. In experimental stroke animals, branches of the MCA were cauterized at both the entry and exit points from the field of view so that there was no flow visible in the exposed branches of the MCA. In sham animals no cauterization was used. The occlusion procedure took approximately 15 minutes, with time 0 recorded at the end of the occlusion procedure. The occlusions were visually checked every 15 minutes to ensure that the clots remained. In a few animals, some vessels became patent within the first hour and were recauterized. Experiments were conducted in matched pairs of sham animals and stroke animals. Blood (0.5 ml) was drawn at 1 hour before occlusion (or sham), and after 0, 1, 3 and 6 hours post occlusion. In order to avoid dilution, flushing of the catheter was minimized. Fluids were replenished by subcutaneous injection of 0.5 ml of 5% glucose after every blood collection.
After the last blood draw, animals were overdosed with pentobarbital. Chest cavities were opened before the heart beat ceased and in some cases blood was drawn from a ventricular cardiac puncture. Animals were intracardially perfused with ~150 ml PBS and 300 mL 4% paraformaldehyde in PBS. Heads were stored in paraformaldehyde. Images were taken of each brain after extraction and before sectioning.
Fluoro-Jade C Staining
Brains were harvested and cryoprotected in 30% sucrose and then 60% sucrose for at least 24 hour each. Brains were frozen and cut into coronal, 45-μm sections on a cryotome. For Fluoro-Jade C (FJC; Millipore) staining, sections were washed in 80% EtOH in 1% NaOH for five minutes, 70% EtOH for 2 minutes, and 0.06% KMnO4 for 10 minutes. Sections were then incubated in the solution of 0.00015% of FJC solution (1:100 stock, according to manufacturer’s instructions, dissolved in 0.1% of acetic acid) for 20 minutes. Sections were then washed with distilled water 3 times, for 1 minute each, at which time the slides were dried for 5 minutes and put into xylene solution for 5 minutes. Last, slides were dried for an hour and coverslipped with Permount (Electron Microscopy Sciences). Initially, FJC staining was performed at 1 mm-spacing throughout the brain. After the most anterior and posterior sections with FJC staining were identified, additional sections were stained to resolve the stroke volume with 200–300 μm spacing.
Measurement of rat brain infarct volume and torn tissue area
Low magnification white light images of the entire section were photographed under a stereoscope. FJC staining was imaged with epifluorescence under 20x magnification using filters for FITC. The area labeled with FJC was manually identified by a person blinded to the treatment and marked on the low magnification, white light images of whole brain sections using ImageJ. For figures, images were normalized by calculating the mean and standard deviation of manually selected background region and then setting the minimum intensity to 4.2 x standard deviation below the mean, and maximum intensity to 7.2 x standard deviation above the mean. Total FJC volume was obtained by multiplying each section’s infarct area by the distance between sections.
In some sections, a part of tissue was torn in the stroke region. To compensate for missing tissue volume, the torn tissue area was obtained by subtracting the area of the ipsilateral from the contralateral side as calculated from the low magnification images. The volume of torn tissue was obtained by multiplying each section’s missing tissue by the distance between sections. The torn tissue volume was then added to the FJC volume to calculate the total stroke volume.
Measurements of NSE activity and quantification by ELISA
Plasma was separated from whole blood samples using CAPIJECT Micro Collection Tubes (Terumo Medical Corporation, Somerset NJ). 50 μl samples of plasma were added to individual wells in a 96-well plate, and reaction mix was added just before luminescence measurements were initiated (GloMax, Promega). Reaction mixtures included 1:1 ratio of NP-PK and NP-Luc, with equal mass amounts of enzyme bound to the NPs, resulting in roughly a 2:1 ratio of Luc to PK molecules. To minimize batch-to-batch differences in repeat experiments, the amounts of the NP-PK and the NP-Luc to be added was based on their individual activities. In this way, the relative activities of each enzyme were kept constant among experiments with different batches of protein. Luminescence signal was integrated for 3 seconds, every minute for 50 minutes. Control wells (-2PG) were then subtracted from the raw data and LU were integrated over the first 20 minutes of the measurements. Integrated LU values of each time point were then normalized to t (-1 hour).
Rat NSE was quantified using an ELISA Kit, (R&D Systems, Inc., Minneapolis, MN) according to the manufacturer’s directions. Non-Neuronal Enolase (NNE) was also detected using ELISA Kit, (antibodies-online.com, Atlanta, GA) according to manufacturer’s directions. Assays were read using an Infinite M200Pro microplate reader (Tecan Trading AG, Maennedorf, Switzerland) and Magellan software (Tecan Austria GmbH, Grödig/Salzburg, Austria).
Detection of NSE in blood samples from human subjects
Plasma sample collection
5 ml of blood was collected from enrolled subjects into Na-heparin 6 ml tubes. Tubes were spun at 1000 g for 5 minutes and then plasma was aspirated and placed over ice. Samples were divided and aliquots frozen for later analysis as indicated.
Detection of NSE in plasma samples from human subjects
10 μl of freshly collected plasma was diluted with 10 μl of water and added to individual wells of a 96-well plate preloaded with lyophilized TET reagent mixtures for negative, test and positive control wells (in triplicates). The readout luminescence signal was integrated for 0.4 seconds, and read continuously for 25 minutes using a TECAN Safire plate reader. For calculation of NSE levels, the linear regression slope for the initial activity was calculated per each well. Then, control wells (-2PG) were subtracted from the test channel and normalized to the positive control well (with 2-PG and enolase). Positive control reactions allowed us to normalize the results to reduce batch to batch variability. Plasma samples were sent for further analysis to ARUP laboratories (Salt Lake City, UT). Variability for PK and Luc activity between batches was addressed by preparing mixtures of the enzymes with equal activity rather than adding equal amounts of each protein.
Supporting Information
Acknowledgments
This study was funded by NIH, Pioneer Award 8DP1-EB016541 (originally 5DP1-OD-006431), “Nanoscale Energy Production for Implantable Medical Devices” (AJT); CTSC Seed Funding Program (NIH, Weill), Pilot Award, “Developing a Multiplexed Point-of-Care Platform to Detect Multiple Stroke Biomarkers” (AJT); NIH F32: F32AG031620 (NN) and the SUNY Research Foundation award, “Development of Hand-held Biosensors for Rapid Diagnosis and Study of Neural Disease & Neurotoxins” (AJT).
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This work was supported by NIH, Pioneer Award 8DP1-EB016541 (originally 5DP1-OD-006431), “Nanoscale Energy Production for Implantable Medical Devices” (AJT); CTSC Seed Funding Program (NIH, Weill), Pilot Award, “Developing a Multiplexed Point-of-Care Platform to Detect Multiple Stroke Biomarkers” (AJT); NIH F32: F32AG031620 (NN); and the SUNY Research Foundation award, “Development of Hand-held Biosensors for Rapid Diagnosis and Study of Neural Disease & Neurotoxins” (AJT). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.WHO. Global burden of stroke. http://wwwwhoint/cardiovascular_diseases/en/cvd_atlas_15_burden_strokepdf. 2002;(1).
- 2. Maiser SJ, Georgiadis AL, Suri MF, Vazquez G, Lakshminarayan K, Qureshi AI. Intravenous recombinant tissue plasminogen activator administered after 3 h following onset of ischaemic stroke: a metaanalysis. Int J Stroke. 2011;6(1):25–32. Epub 2011/01/06. 10.1111/j.1747-4949.2010.00537.x . [DOI] [PubMed] [Google Scholar]
- 3. Kleindorfer D, de los Rios La Rosa F, Khatri P, Kissela B, Mackey J, Adeoye O. Temporal trends in acute stroke management. Stroke; a journal of cerebral circulation. 2013;44(6 Suppl 1):S129–31. Epub 2013/06/05. 10.1161/STROKEAHA.113.001457 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Brainin M, Teuschl Y, Kalra L. Acute treatment and long-term management of stroke in developing countries. Lancet Neurol. 2007;6(6):553–61. Epub 2007/05/19. 10.1016/S1474-4422(07)70005-4 . [DOI] [PubMed] [Google Scholar]
- 5. Norrving B, Kissela B. The global burden of stroke and need for a continuum of care. Neurology. 2013;80(3 Suppl 2):S5–12. Epub 2013/01/18. 10.1212/WNL.0b013e3182762397 . [DOI] [PubMed] [Google Scholar]
- 6. Song Y, Huang YY, Liu X, Zhang X, Ferrari M, Qin L. Point-of-care technologies for molecular diagnostics using a drop of blood. Trends Biotechnol. 2014;32(3):132–9. Epub 2014/02/15. 10.1016/j.tibtech.2014.01.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Dash PK, Zhao J, Hergenroeder G, Moore AN. Biomarkers for the diagnosis, prognosis, and evaluation of treatment efficacy for traumatic brain injury. Neurotherapeutics. 2010;7(1):100–14. Epub 2010/02/05. 10.1016/j.nurt.2009.10.019 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Ahmad O, Wardlaw J, Whiteley WN. Correlation of levels of neuronal and glial markers with radiological measures of infarct volume in ischaemic stroke: a systematic review. Cerebrovasc Dis. 2012;33(1):47–54. Epub 2011/12/03. 10.1159/000332810 . [DOI] [PubMed] [Google Scholar]
- 9. Wunderlich MT, Lins H, Skalej M, Wallesch CW, Goertler M. Neuron-specific enolase and tau protein as neurobiochemical markers of neuronal damage are related to early clinical course and long-term outcome in acute ischemic stroke. Clinical neurology and neurosurgery. 2006;108(6):558–63. Epub 2006/02/07. 10.1016/j.clineuro.2005.12.006 . [DOI] [PubMed] [Google Scholar]
- 10. Culler L, Whitcomb J, Webster S. Serum neuron-specific enolase predicting neurological outcomes post-cardiac arrest: a review of the literature. Dimens Crit Care Nurs. 2014;33(6):309–15. Epub 2014/10/04. 10.1097/NCC.0000000000000185 . [DOI] [PubMed] [Google Scholar]
- 11. Cheng F, Yuan Q, Yang J, Wang W, Liu H. The prognostic value of serum neuron-specific enolase in traumatic brain injury: systematic review and meta-analysis. PLoS One. 2014;9(9):e106680 Epub 2014/09/05. 10.1371/journal.pone.0106680 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Chaves ML, Camozzato AL, Ferreira ED, Piazenski I, Kochhann R, Dall'Igna O, et al. Serum levels of S100B and NSE proteins in Alzheimer's disease patients. Journal of neuroinflammation. 2010;7:6 Epub 2010/01/29. 10.1186/1742-2094-7-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Wevers RA, Jacobs AA, Hommes OR. A bioluminescent assay for enolase (EC 4.2.1.11) activity in human serum and cerebrospinal fluid. Clinica chimica acta; international journal of clinical chemistry. 1983;135(2):159–68. . [DOI] [PubMed] [Google Scholar]
- 14. Viallard JL, Murthy MR, Dastugue B. An ultramicro bioluminescence assay of enolase: application to human cerebrospinal fluid. Neurochemical research. 1985;10(12):1555–66. Epub 1985/12/01. . [DOI] [PubMed] [Google Scholar]
- 15. Wevers RA, Theunisse AW, Rijksen G. An immunobioluminescence assay for gamma-gamma enolase activity in human serum and cerebrospinal fluid. Clin Chim Acta. 1988;178(2):141–50. Epub 1988/12/15. . [DOI] [PubMed] [Google Scholar]
- 16. Halliwell CM, Morgan G, Ou CP, Cass AE. Introduction of a (poly)histidine tag in L-lactate dehydrogenase produces a mixture of active and inactive molecules. Analytical biochemistry. 2001;295(2):257–61. Epub 2001/08/08. 10.1006/abio.2001.5182 . [DOI] [PubMed] [Google Scholar]
- 17. Travis AJ, Foster JA, Rosenbaum NA, Visconti PE, Gerton GL, Kopf GS, et al. Targeting of a germ cell-specific type 1 hexokinase lacking a porin-binding domain to the mitochondria as well as to the head and fibrous sheath of murine spermatozoa. Molecular biology of the cell. 1998;9(2):263–76. Epub 1998/04/04. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Travis AJ, Jorgez CJ, Merdiushev T, Jones BH, Dess DM, Diaz-Cueto L, et al. Functional relationships between capacitation-dependent cell signaling and compartmentalized metabolic pathways in murine spermatozoa. The Journal of biological chemistry. 2001;276(10):7630–6. Epub 2000/12/15. 10.1074/jbc.M006217200 . [DOI] [PubMed] [Google Scholar]
- 19. Mukai C, Bergkvist M, Nelson JL, Travis AJ. Sequential reactions of surface- tethered glycolytic enzymes. Chem Biol. 2009;16(9):1013–20. Epub 2009/09/26. 10.1016/j.chembiol.2009.08.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Mukai C, Gao L, Bergkvist M, Nelson JL, Hinchman MM, Travis AJ. Biomimicry enhances sequential reactions of tethered glycolytic enzymes, TPI and GAPDHS. PLoS One. 2013;8(4):e61434 Epub 2013/04/30. 10.1371/journal.pone.0061434 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Oren EE, Notman R, Kim IW, Evans JS, Walsh TR, Samudrala R, et al. Probing the molecular mechanisms of quartz-binding peptides. Langmuir. 2010;26(13):11003–9. Epub 2010/05/27. 10.1021/la100049s . [DOI] [PubMed] [Google Scholar]
- 22. Naik RR, Brott LL, Clarson SJ, Stone MO. Silica-precipitating peptides isolated from a combinatorial phage display peptide library. J Nanosci Nanotechnol. 2002;2(1):95–100. Epub 2003/08/12. . [DOI] [PubMed] [Google Scholar]
- 23. Nakamura M, Mie M, Funabashi H, Kobatake E. Construction of streptavidin-luciferase fusion protein for ATP sensing with fixed form. Biotechnol Lett. 2004;26(13):1061–6. Epub 2004/06/26. 10.1023/B:BILE.0000032966.17759.08 5379493 [pii]. . [DOI] [PubMed] [Google Scholar]
- 24. Casmiro M, Maitan S, De Pasquale F, Cova V, Scarpa E, Vignatelli L. Cerebrospinal fluid and serum neuron-specific enolase concentrations in a normal population. Eur J Neurol. 2005;12(5):369–74. Epub 2005/04/05. 10.1111/j.1468-1331.2004.01021.x . [DOI] [PubMed] [Google Scholar]
- 25. Marginean IC, Stanca DM, Vacaras V, Soritau O, Margiean M, Muresanu DF. Plasmatic markers in hemorrhagic stroke. J Med Life. 2011;4(2):148–50. Epub 2011/07/22. [PMC free article] [PubMed] [Google Scholar]
- 26. Hayashi T, Matuo Y. A new stroke marker as detected by serum phosphoglycerate mutase B-type isozyme. Biochemical and biophysical research communications. 2001;287(4):843–5. Epub 2001/09/28. 10.1006/bbrc.2001.5666 . [DOI] [PubMed] [Google Scholar]
- 27. Chung JW, Ryu WS, Kim BJ, Yoon BW. Elevated calcium after acute ischemic stroke: association with a poor short-term outcome and long-term mortality. J Stroke. 2015;17(1):54–9. Epub 2015/02/19. 10.5853/jos.2015.17.1.54 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Stippler M, Fischer MR, Puccio AM, Wisniewski SR, Carson-Walter EB, Dixon CE, et al. Serum and cerebrospinal fluid magnesium in severe traumatic brain injury outcome. J Neurotrauma. 2007;24(8):1347–54. Epub 2007/08/23. 10.1089/neu.2007.0277 . [DOI] [PubMed] [Google Scholar]
- 29. Hasan N, McColgan P, Bentley P, Edwards RJ, Sharma P. Towards the identification of blood biomarkers for acute stroke in humans: a comprehensive systematic review. British journal of clinical pharmacology. 2012;74(2):230–40. Epub 2012/02/11. 10.1111/j.1365-2125.2012.04212.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Mukai C, Bergkvist M, Nelson JL, Travis AJ. Sequential reactions of surface- tethered glycolytic enzymes. Chem Biol. 2009;16(9):1013–20. Epub 2009/09/26. S1074-5521(09)00278-6 [pii] 10.1016/j.chembiol.2009.08.009 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Lata JP, Gao L, Mukai C, Cohen R, Nelson JL, Anguish L, et al. Effects of Nanoparticle Size on Multilayer Formation and Kinetics of Tethered Enzymes. Bioconjugate chemistry. 2015. Epub 2015/08/19. 10.1021/acs.bioconjchem.5b00354 . [DOI] [PubMed] [Google Scholar]
- 32. Schaffer CB, Friedman B, Nishimura N, Schroeder LF, Tsai PS, Ebner FF, et al. Two-photon imaging of cortical surface microvessels reveals a robust redistribution in blood flow after vascular occlusion. PLoS biology. 2006;4(2):e22 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Ford SR, Chenault KD, Hall MS, Pangburn SJ, Leach FR. Effect of periodate-oxidized ATP and other nucleotides on firefly luciferase. Arch Biochem Biophys. 1994;314(2):261–7. Epub 1994/11/01. S0003-9861(84)71440-8 [pii] 10.1006/abbi.1994.1440 . [DOI] [PubMed] [Google Scholar]
- 34. Ford SR, Chenault KH, Bunton LS, Hampton GJ, McCarthy J, Hall MS, et al. Use of firefly luciferase for ATP measurement: other nucleotides enhance turnover. J Biolumin Chemilumin. 1996;11(3):149–67. Epub 1996/05/01. . [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant data are within the paper and its Supporting Information files.