Regenerative Surface Plasmon Resonance (SPR) biosensor: Real-time measurement of fibrinogen in undiluted human serum using the competitive adsorption of proteins

Advancements in biosensor technologies for fibrinogen detection in cardiovascular disorders

Rapid and accurate identification of cardiovascular diseases (CVDs) are crucial for timely medical interventions and improved patient outcomes. Fibrinogen (Fib) has emerged as a valuable biomarker for CVDs, playing a significant role in their early detection. Elevated levels of Fib are associated with an increased risk of developing CVD, highlighting its importance for more precise diagnosis and effective treatment strategies. In recent years, significant advancements have been made in developing biosensor-based approaches for detecting Fib, offering high sensitivity and specificity. This review aims to explore the impact of Fib on cardiovascular conditions, assess the current advancements, and discuss the future potential of biosensors in Fib research for diagnosing cardiovascular disorders. Furthermore, we evaluate various biosensor techniques, including optical, electrochemical, electronic, and gravimetric methods, in terms of their utility for measuring Fib in clinical samples such as serum, plasma, whole blood, and other body fluids. A comparative analysis of these techniques is conducted based on their performance characteristics. By providing a comprehensive overview of the relationship between Fib and cardiovascular ailments, this review aims to clarify the advancements in biosensor technology for Fib detection. The comparison of different biosensor techniques will aid researchers and clinicians in selecting the most suitable approach for their specific diagnostic needs. Ultimately, integrating biosensors into clinical practice has the potential to revolutionize the detection and management of CVDs, leading to improved patient care and outcomes.

Real-Time, Non-Invasive Monitoring of Neuronal Differentiation Using Intein-Enabled Fluorescence Signal Translocation in Genetically Encoded Stem Cell-Based Biosensors

Real-time and non-invasive monitoring of neuronal differentiation will help increase our understanding of neuronal development and help develop regenerative stem cell therapies for neurodegenerative diseases. Traditionally, reverse transcription-polymerase chain reaction (RT-PCR), western blotting, and immunofluorescence (IF) staining have been widely used to investigate stem cell differentiation; however, their limitations include endpoint analysis, invasive nature of monitoring, and lack of single-cell-level resolution. Several limitations hamper current approaches to studying neural stem cell (NSC) differentiation. In particular, fixation and staining procedures can introduce artificial changes in cellular morphology, hindering our ability to accurately monitor the progression of the process and fully understand its functional aspects, particularly those related to cellular connectivity and neural network formation. Herein, we report a novel approach to monitor neuronal differentiation of NSCs non-invasively in real-time using cell-based biosensors (CBBs). Our research efforts focused on utilizing intein-mediated protein engineering to design and construct a highly sensitive biosensor capable of detecting a biomarker of neuronal differentiation, hippocalcin. Hippocalcin is a critical protein involved in neurogenesis, and the CBB functions by translocating a fluorescence signal to report the presence of hippocalcin externally. To construct the hippocalcin sensor proteins, hippocalcin bioreceptors, AP2 and glutamate ionotropic receptor AMPA-type subunit 2 (GRIA2), were fused to each split-intein carrying split-nuclear localization signal (NLS) peptides, respectively, and a fluorescent protein was introduced as a reporter. Protein splicing (PS) was triggered in the presence of hippocalcin to generate functional signal peptides, which promptly translocated the fluorescence signal to the nucleus. The stem cell-based biosensor showed fluorescence signal translocation only upon neuronal differentiation. Undifferentiated stem cells or cells that had differentiated into astrocytes or oligodendrocytes did not show fluorescence signal translocation. The number of differentiated neurons was consistent with that measured by conventional IF staining. Furthermore, this approach allowed for the monitoring of neuronal differentiation at an earlier stage than that detected using conventional approaches, and the translocation of fluorescence signal was monitored before the noticeable expression of class III β-tubulin (TuJ1), an early neuronal differentiation marker. We believe that these novel CBBs offer an alternative to current techniques by capturing the dynamics of differentiation progress at the single-cell level and by providing a tool to evaluate how NSCs efficiently differentiate into specific cell types, particularly neurons.

Development of biosensors for detection of fibrinogen: a review

Fibrinogen as a major inflammation marker and blood coagulation factor has a direct impact on the health of humanity. The variations in fibrinogen content lead to risky conditions such as bleeding and cardiovascular diseases. So, accurate methods for monitoring of this glycoprotein are of high importance. The conventional methods, such as the Clauss method, are time consuming and require highly specialized expert analysts. The development of fast, simple, easy to use, and inexpensive methods is highly desired. In this way, biosensors have gained outstanding attention since they offer means for performing analyses at the points-of-care using self-testing devices, which can be applied outside of clinical laboratories or hospital. This review indicates that different electrochemical and optical sensors have been successfully implemented for the detection of fibrinogen under normal levels of fibrinogen in plasma. The biosensors for the detection of fibrinogen have been designed based on the quartz crystal microbalance, field-effect transistor, electrochemical impedance spectroscopy, amperometry, surface plasmon resonance, localized surface plasmon resonance, and colorimetric techniques. Also, this review demonstrates the utility of the application of nanoparticles in different detection techniques.

Three-Dimensionally Printed Microelectromechanical-System Hydrogel Valve for Communicating Hydrocephalus

Hydrocephalus (HCP) is a chronic neurological brain disorder caused by a malfunction of the cerebrospinal fluid (CSF) drainage mechanism in the brain. The current standard method to treat HCP is a shunt system. Unfortunately, the shunt system suffers from complications including mechanical malfunctions, obstructions, infections, blockage, breakage, overdrainage, and/or underdrainage. Some of these complications may be attributed to the shunts' physically large and lengthy course making them susceptible to external forces, siphoning effects, and risks of infection. Additionally, intracranial catheters artificially traverse the brain and drain the ventricle rather than the subarachnoid space. We report a 3D-printed microelectromechanical system-based implantable valve to improve HCP treatment. This device provides an alternative approach targeting restoration of near-natural CSF dynamics by artificial arachnoid granulations (AGs), natural components for CSF drainage in the brain. The valve, made of hydrogel, aims to regulate the CSF flow between the subarachnoid space and the superior sagittal sinus, in essence, substituting for the obstructed arachnoid granulations. The valve, operating in a fully passive manner, utilizes the hydrogel swelling feature to create nonzero cracking pressure, P_T ≈ 47.4 ± 6.8 mmH₂O, as well as minimize reverse flow leakage, Q_O ≈ 0.7 μL/min on benchtop experiments. The additional measurements performed in realistic experimental setups using a fixed sheep brain also deliver comparable results, P_T ≈ 113.0 ± 9.8 mmH₂O and Q_O ≈ 3.7 μL/min. In automated loop functional tests, the valve maintains functionality for a maximum of 1536 cycles with the P_T variance of 44.5 mmH₂O < P_T < 61.1 mmH₂O and negligible average reverse flow leakage rates of ∼0.3 μL/min.

A wireless fully-passive acquisition of biopotentials

Biopotential signals contain essential information for assessing functionality of organs and diagnosing diseases. We present a flexible sensor, capable of measuring biopotentials, in real time, in wireless and fully-passive manner. The flexible sensor collects and transmits biopotentials to an external reader without wire, battery, or harvesting/regulating element. The sensor is fabricated on a 90 μm-thick polyimide substrate with footprint of 18 × 15 × 0.5 mm³. The wireless fully-passive acquisition of biopotentials is enabled by the RF (Radio Frequency) microwave backscattering effect where the biopotentials are modulated by an array of varactors with incoming RF carrier that is backscattered to the external reader. The flexile sensor is verified and validated by emulated signal and Electrocardiogram (ECG), Electromyogram (EMG), and Electrooculogram (EOG), respectively. A deep learning algorithm analyzes the signal quality of wirelessly acquired data, along with the data from commercially-available wired sensor counterparts. Wired and wireless data shows <3% discrepancy in deep learning testing accuracy for ECG and EMG up to the wireless distance of 240 mm. Wireless acquisition of EOG further demonstrates accurate tracking of horizontal eye movement with deep learning training and testing accuracy reaching up to 93.6% and 92.2%, respectively, indicating successful detection of biopotentials signal as low as 250 μV_PP. These findings support that the real-time wireless fully-passive acquisition of on-body biopotentials is indeed feasible and may find various uses for future clinical research.

QCM Biosensor Based on Polydopamine Surface for Real-Time Analysis of the Binding Kinetics of Protein-Protein Interactions

A quartz crystal microbalance (QCM) biosensor based on polydopamine (PDA) surface was developed for real-time analysis of the binding kinetics of protein-protein interactions. The biosensor was fabricated by simply immersing the gold sensor chip into an aqueous dopamine solution at pH 8.5 leading to a spontaneous deposition of PDA film onto the sensor chip surface, which was followed by incubation with the protein to immobilize it onto the PDA-coated sensor chip surface via Michael addition and/or Schiff base reactions. In this paper, the interaction between monoclonal anti-myoglobin 7005 antibody (IgG1) and its antigen human cardiac myoglobin was used as a model system for real-time analysis of biomolecule interactions on the biosensor surface. The kinetic parameters of the interaction between anti-myoglobin 7005 and myoglobin were studied on the biosensor surface, which were consistent with the results obtained via amine coupling. The biosensor based on PDA surface has excellent regenerability, reproducibility, and specificity. Compared with the most frequently/typically used amine coupling method for immobilization of proteins on carboxylated substrates, the modification methodology presented in this paper is simple, mild and is not subjected to the limitations of the isoelectric point (pI) of the protein. In addition, the PDA biosensor chip can be easily reused, which makes QCM biosensor analysis more efficient and cost effective.

Surface Plasmon Resonance Clinical Biosensors for Medical Diagnostics

The design and application of sensors for monitoring biomolecules in clinical samples is a common goal of the sensing research community. Surface plasmon resonance (SPR) and other plasmonic techniques such as localized surface plasmon resonance (LSPR) and imaging SPR are reaching a maturity level sufficient for their application in monitoring biomolecules in clinical samples. In recent years, the first examples for monitoring antibodies, proteins, enzymes, drugs, small molecules, peptides, and nucleic acids in biofluids collected from patients afflicted with a series of medical conditions (Alzheimer's, hepatitis, diabetes, leukemia, and cancers such as prostate and breast cancers, among others) demonstrate the progress of SPR sensing in clinical chemistry. This Perspective reviews the current status of the field, showcasing a series of early successes in the application of SPR for clinical analysis and detailing a series of considerations regarding sensing schemes, exposing issues with analysis in biofluids, and comparing SPR with ELISA, while providing an outlook of the challenges currently associated with plasmonic materials, instrumentation, microfluidics, bioreceptor selection, selection of a clinical market, and validation of a clinical assay for applying SPR sensors to clinical samples. Research opportunities are proposed to further advance the field and transition SPR biosensors from research proof-of-concept stage to actual clinical applications.

A regenerative label-free fiber optic sensor using surface plasmon resonance for clinical diagnosis of fibrinogen

Purpose

We present the regenerative label-free fiber optical biosensor that exploits surface plasmon resonance for quantitative detection of fibrinogen (Fbg) extracted from human blood plasma.

Materials and methods

The sensor head was made up of a multimode optical fiber with its polymer cladding replaced by metal composite of nanometer thickness made of silver, aluminum, and nickel. The Ni layer coated allowed a direct immobilization of histidine-tagged peptide (HP) on its metal surface without an additional cross-linker in between. On the coated HP layer, immunoglobulin G was then immobilized for specific capturing of Fbg.

Results

We demonstrated a real-time quantitative detection of Fbg concentrations with limit of detection of ~10 ng/mL. The fact that the HP layer could be removed by imidazole with acid also permitted us to demonstrate the regeneration of the outermost metal surface of the sensor head for the sensor reusability.

Conclusion

The sensor detection limit was estimated to be ~10 pM, which was believed to be sensitive enough for detecting Fbg during the clinical diagnosis of cardiovascular diseases, myocardial infarction, strokes, and Alzheimer’s diseases.

An enhanced protein-protein interaction based on enzymatic complex through replacement of the recognition site

Clostridium cellulovorans, produce multi-enzymatic complexes known as cellulosomes, which assemble via the interaction of a dockerin module in the cellulosomal subunit with one of the several cohesin modules in the scaffolding protein, to degrade the plant cell wall polymer. An enhanced cohesin-dockerin interaction was demonstrated by modified certain cellulosomal enzymes with altered amino acid residues at the crucial binding site, 11th and 12th positions in dockerin module. In fluorescence intensity analyses using the cellulosome-based biomarker system, the modified cellulosomal enzymes (EngE SL to AI and EngH SM to AI) showed an increased intensity (1.4- to 2.2-fold) compared with the wild-type proteins. Conversely, modified ExgS (AI to SM) exhibited a reduced intensity (0.6- to 0.7-fold) compared with the wild type. In enzyme-linked and competitive enzyme-linked interaction assays, the some modified protein (EngE SL to AI and EngH SM to AI) showed their increased binding affinity toward the cohesins (Coh2 and Coh9). Surface plasmon resonance analysis quantitatively demonstrated the binding affinity of these two modified proteins toward cohesins showed similar or higher affinity comparing with its with wild type proteins. These results suggest the replacement of amino acid residues in the certain recognition site significantly affects the binding affinity of the cohesin-dockerin interaction.

Analysis of selective, high protein-protein binding interaction of cohesin-dockerin complex using biosensing methods

Optical biosensors that use fluorescence are promising tools for the analysis of target materials such as protein, DNA and other biomaterial. To analyze the binding properties of a protein-protein interaction, we constructed fluorescent biomarkers based on the cohesin-dockerin interaction, which coordinates the assembly of cellulolytic enzymes and scaffolding proteins to produce a cell surface multiprotein complex known as the "cellulosome" in some anaerobic bacteria. Our 2D-PAGE results displayed diverse binding profiles to the dockerin containing cellulosomal proteins produced by Clostridium cellulovorans grown on different carbon sources, such as Avicel, xylan and AXP (Avicel:xylan:pectin (3:1:1)). Fluorescence intensity analysis indicated that EngE and EngH bound more efficiently to Coh6 than to Coh2 or Coh9 (2-fold to 6-fold and 1.5-fold to 5-fold, respectively), while others cellulosomal proteins displayed similar results. In addition, both an enzyme-linked interaction assay (ELIA) and surface plasmon resonance (SPR) analyses demonstrated that both EngE and EngH preferentially bound cohesin6 versus the other two cohesin molecules. This work demonstrated the analysis of the binding patterns between interacting proteins using fluorescent biomarkers. We also illustrated the potential of this sensitive approach to quantify specific target analytical materials via the example of the cohesin-dockerin interaction.

A method for regenerating gold surface for prolonged reuse of gold-coated surface plasmon resonance chip

We developed a method to completely regenerate the gold (Au) surface of 3-aminopropyltriethoxysilane (APTES)-functionalized Au-coated surface plasmon resonance (SPR) chip that had been used for human fetuin A (HFA) immunoassay. It involved treatment of the used SPR chip with freshly prepared piranha solution (concentrated H(2)SO(4)/30% H(2)O(2)=3:1, v/v) for 15 min followed by extensive rinsing with ethanol and deionized water. The developed method enabled prolonged reuse of the regenerated SPR chip that increased its cost-effectiveness without affecting the reproducibility of HFA immunoassays.