Simultaneous Determination of the Size and Shape of Single α-Synuclein Oligomers in Solution

Soluble tau aggregates decrease the threshold for thalamic oscillations and increase the excitability of thalamic neurons

Sleep disturbances frequently occur early in dementias such as Alzheimer's disease (AD) and potentially arise from many factors including cortico-thalamo-cortical (CTC) loop dysfunction. It has been reported that tau filament deposition occurs in the thalamus and there is thalamic atrophy in symptomatic AD patients which could contribute to CTC loop disturbance. Here we have investigated whether human recombinant tau soluble aggregates can induce dysfunction in thalamic circuits. Electrophysiological measurements were made from acutely isolated male and female rat corticothalamic slices following incubation with tau aggregates. Tau aggregates markedly reduced the threshold for inducing spindle-like oscillations and increased the excitability of thalamic neurons. Tau aggregates also significantly enhanced the frequency of miniature excitatory postsynaptic currents recorded in ventrobasal thalamic neurons, suggesting possible changes in terminal Ca2+ influx. These pro-excitatory effects of tau aggregates could contribute to the aberrant CTC loop dysfunction observed in AD models and patients, which manifests as sleep disturbances and absence seizures.

Monomers, Dimers, and Oligomers of Pyroglutamate-Modified α-Synuclein Fragments Exhibit Distinct Biophysical Characteristics

α-Synuclein (aSyn) aggregation represents a key event in the neurodegenerative cascade of synucleinopathies. Initially, aSyn appears as an intrinsically disordered protein. However, its structural flexibility allows aSyn to either adopt α-helical conformations, relevant for physiological functions at presynaptic vesicles, or form β-strand-rich aggregates, leading to toxic oligomers. This relation between structure, function, and toxicity can be influenced by post-translational modifications such as the recently identified glutaminyl cyclase-catalyzed pyroglutamate (pE) modification. Here, we investigated (i) structural characteristics of monomeric, dimeric, and oligomeric states of N-terminal truncated, pE-modified aSyn variants, pE24-, pE62-, and pE79-aSyn by a complementary biophysical approach including DLS, SEC-MALS, SRCD, SEC-SAXS, and AUC and (ii) the toxicity of oligomeric pE-aSyn variants compared to full-length aSyn. Overall, pE62-aSyn showed an immediate fibril formation, reflecting the aggregation-prone properties of this particular variant. Furthermore, in a membrane-like environment, the secondary aSyn structure shifted toward α-helical folding depending on the degree of N-terminal truncation. pE79-aSyn showed a significantly reduced level of structural adaptation, reflecting compromised functions at presynaptic vesicles. In addition, the comparative analysis indicates the presence of a dimeric aSyn intermediate, the initial and potentially crucial step in aSyn aggregation, and supports the hypothesis of a toxic porous oligomeric state. For the first time, based on SAXS data, EOM models of the dimeric aSyn state are proposed.

Nanopore Environmental Analysis

As global pollution continues to escalate, timely and accurate monitoring is essential for guiding pollution governance and safeguarding public health. The increasing diversity of pollutants across environmental matrices poses a significant challenge for instrumental analysis methods, which often require labor-intensive and time-consuming sample pretreatment. Nanopore technology, an emerging single-molecule technique, presents a promising solution by enabling the rapid identification of multiple targets within complex mixtures with minimal sample preparation. A wide range of pollutants have been characterized using natural biological nanopores or artificial solid-state nanopores, and their distinct advantages include simple sample preparation, high sensitivity, and rapid onsite analysis. In particular, long-read nanopore sequencing has led to dramatic improvements in the analyses of environmental microbial communities, allows species-level taxonomic assignment using amplicon sequencing, and simplifies the assembly of metagenomes. In this Perspective, we review the latest advancements in analyzing chemical and biological pollutants through nanopore sensing and sequencing techniques. We also explore the challenges that remain in this rapidly evolving field and provide an outlook on the potential for nanopore environmental analysis to transform pollution monitoring, risk assessment, and public health protection.

Recent advances in single-particle analysis with nanopore technology

Nanopore sensors have been used as ultrasensitive tools for single-particle detection based on ionic current measurement. This simple, yet powerful technique allows researchers to acquire various physical properties of individual particles in a label-free manner. This mini-review describes the recent progress in nanopore technology demonstrated by our group. We first focus on the major advancements in nanopore architecture contributing to high-spatial resolution, followed by the detection strategy designed for long-term analysis. Then, we summarize the application of nanopore technology in infection diagnosis using machine learning. Following that, we discuss its potential for gene therapy, facilitated by high spatial resolution. Furthermore, we also highlighted potential applications of next-generation nanopore technology that contribute to a healthier future.

Detection of protein oligomers with nanopores

Powerful single-molecule approaches have been developed for the accurate measurement of protein oligomers, but they are often low throughput and limited to the measurement of specific systems. To overcome this problem, nanopore-based detection holds the promise of providing the high throughput, broad applicability, and accuracy necessary to characterize protein oligomers in a variety of contexts. Nanopores provide accuracy comparable with that of state-of-the-art single-molecule detection methods, but with the added potential for fast and accurate measurements that may be amenable to industrial-scale manufacture. Key to enabling this expansion is combination with other emerging technologies such as DNA nanostructure tagging, machine learning-enabled signal analysis, and innovative detection device manufacture. Together, these technologies could enable widespread adoption of nanopore-based sensing in oligomer detection, revolutionizing diagnostics and biomarker detection in protein misfolding diseases.

Investigating the impact of Cu2+ on α-synuclein aggregation: A single-molecule approach

Parkinson's disease (PD) is a prevalent neurodegenerative disorder characterized by the abnormal aggregation of α-synuclein. This study investigated the impact of Cu2+ ions on α-synuclein aggregation in oligomer distribution using two single-molecule techniques. The aggregation of α-synuclein monomers with and without Cu2+ revealed that Cu2+ accelerated the formation of ThT-positive β-sheet structured aggregates. Nanopipettes of varying diameters from to 7 to 134 nm were employed to characterize the oligomers formed during the lag phase, demonstrating that Cu2+ generated a wider range of oligomers from 10 nm3 to 20,000 nm3 over time. Confocal fluorescence spectroscopy analysis of ThT-positive fibrils in the plateau phase showed that Cu2+ induces larger oligomers and fewer in number. The introduction of preformed seeds to the control and Cu2+-containing samples further accelerated the aggregation. The combination of seeds and Cu2+ produced structurally distinct oligomers, with seeds catalyzing the formation of small oligomers that detach from the parent fibers and Cu2+, promoting the formation of larger oligomers. These results reveals that seeds and Cu2+ act synergistically, with two different aggregation pathways coexisting in the early phase, leading to an intermediate composition of fibers and clusters at the end of aggregation.

Solid-State Nanopore Sensors: Analyte Quantification by Event Frequency Analysis at High Voltages

Solid state nanopores have emerged as an important electrical label-free single-molecule detection platform. While much effort has been spent on analyzing the current trace to determine size, shape and charge of the translocating species, a less studied aspect is the number of events and how this relates to analyte concentration. In this work we systematically investigate how the event frequency depends on voltage applied across the pore and show that this dependence can be utilized to determine target concentration. Importantly, this method does not require any calibration or any additional species added to the solution. Data analysis algorithms are introduced to accurately count events also for high voltages (up to 1 V). For double stranded DNA as model analyte, we find a linear relation between event frequency and voltage for pores 10 nm or more in diameter. For smaller pores, the majority of events are dockings rather than translocations and the linear relation is lost, in agreement with theory. Our model also predicts that the electrophoretic mobility of the species will influence event frequency, while diffusivity does not, which we confirm by using two different sizes of DNA. The analyte concentration determination is found to be remarkably accurate (10% error) when taking the average of multiple (∼4) experiments. If based on a single experiment, the predictive power is lower, but the method still provides a useful estimate (<30% error). This study should be useful as a guide when performing experiments at higher voltages and may serve as a method to extract analyte concentration in bioanalytical applications of nanopore sensors.

Multimer Detection System: A Universal Assay System for Differentiating Protein Oligomers from Monomers

Depositions of protein aggregates are typical pathological hallmarks of various neurodegenerative diseases (NDs). For example, amyloid-beta (Aβ) and tau aggregates are present in the brain and plasma of patients with Alzheimer's disease (AD); α-synuclein in Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA); mutant huntingtin protein (Htt) in Huntington's disease (HD); and DNA-binding protein 43 kD (TDP-43) in amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), and limbic-predominant age-related TDP-43 encephalopathy (LATE). The same misfolded proteins can be present in multiple diseases in the form of mixed proteinopathies. Since there is no cure for all these diseases, understanding the mechanisms of protein aggregation becomes imperative in modern medicine, especially for developing diagnostics and therapeutics. A Multimer Detection System (MDS) was designed to distinguish and quantify the multimeric/oligomeric forms from the monomeric form of aggregated proteins. As the unique epitope of the monomer is already occupied by capturing or detecting antibodies, the aggregated proteins with multiple epitopes would be accessible to both capturing and detecting antibodies simultaneously, and signals will be generated from the oligomers rather than the monomers. Hence, MDS could present a simple solution for measuring various conformations of aggregated proteins with high sensitivity and specificity, which may help to explore diagnostic and treatment strategies for developing anti-aggregation therapeutics.

Solid-State Nanopore Real-Time Assay for Monitoring Cas9 Endonuclease Reactivity

The field of nanopore sensing is now moving beyond nucleic acid sequencing. An exciting avenue is the use of nanopore platforms for the monitoring of biochemical reactions. Biological nanopores have been used for this application, but solid-state nanopore approaches have lagged. This is due to the necessity of using higher salt conditions (e.g., 4 M LiCl) to improve the signal-to-noise ratio which completely abolish the activities of many biochemical reactions. We pioneered a polymer electrolyte solid-state nanopore approach that maintains a high signal-to-noise ratio even at a physiologically relevant salt concentration. Here, we report the monitoring of the restriction enzyme SwaI and CRISPR-Cas9 endonuclease activities under physiological salt conditions and in real time. We investigated the dsDNA cleavage activity of these enzymes in a range of digestion buffers and elucidated the off-target activity of CRISPR-Cas9 ribonucleoprotein endonuclease in the presence of single base pair mismatches. This approach enables the application of solid-state nanopores for the dynamic monitoring of biochemical reactions under physiological salt conditions.

Two-Dimensional Material-Based Nanofluidic Devices and Their Applications

Nanofluidics is an interdisciplinary field of study that bridges hydrodynamics, statistical physics, chemistry, materials science, biology, and other fields to investigate the transport of fluids and ions on the nanometric scale. The progress in this field, however, has been constrained by challenges in fabricating nanofluidic devices suitable for systematic investigations. Recent advances in two-dimensional (2D) materials have revolutionized the development of nanofluids. Their ultrathin structure and photothermoelectric response make it possible to achieve the scale control, friction limitation, and regulatory response, all of which are challenging to achieve with traditional solid materials. In this review, we provide a comprehensive overview of the preparation methods and corresponding structures of three types of 2D material-based nanofluidic devices, including nanopores, nanochannels, and membranes. We highlight their applications and recent advances in exploring physical mechanisms, detecting biomolecules (DNA, protein), developing iontronics devices, improving ion/gas selectivity, and generating osmotic energy. We discuss the challenges facing 2D material-based nanofluidic devices and the prospects for future advancements in this field.

Characterizing Prion-Like Protein Aggregation: Emerging Nanopore-Based Approaches

Prion-like protein aggregation is characteristic of numerous neurodegenerative diseases, such as Alzheimer's and Parkinson's diseases. This process involves the formation of aggregates ranging from small and potentially neurotoxic oligomers to highly structured self-propagating amyloid fibrils. Various approaches are used to study protein aggregation, but they do not always provide continuous information on the polymorphic, transient, and heterogeneous species formed. This review provides an updated state-of-the-art approach to the detection and characterization of a wide range of protein aggregates using nanopore technology. For each type of nanopore, biological, solid-state polymer, and nanopipette, discuss the main achievements for the detection of protein aggregates as well as the significant contributions to the understanding of protein aggregation and diagnostics.

Characterizing heterogeneity in amyloid formation processes

Protein aggregation is a complex process, consisting of a large number of pathways connecting monomers and mature amyloid fibrils. Recent advances in structure determination techniques, such as solid-state NMR and cryoEM, have allowed the determination of atomic resolution structures of fibril polymorphs, but most of the intermediate stages of the process including oligomer formation remain unknown. Proper characterization of the heterogeneity of the process is critical not only for physical and chemical understanding of the aggregation process but also for elucidation of the disease mechanisms and identification of therapeutic targets. This article reviews recent developments in the characterization of heterogeneity in amyloid formation processes.

Unraveling the Molecular Jam: How Crowding Shapes Protein Aggregation in Neurodegenerative Disorders

Protein misfolding and aggregation are the hallmarks of neurodegenerative diseases including Huntington's disease, Parkinson's disease, Alzheimer's disease, and prion diseases. A crowded cellular environment plays a crucial role in modulating protein aggregation processes in vivo and the pathological aggregation of proteins linked to different neurodegenerative disorders. Here, we review recent studies examining the effects of various crowding agents, such as polysaccharides, polyethylene glycol, and proteins like BSA and lysozyme on the behaviors of aggregation of several amyloidogenic peptides and proteins, including amylin, huntingtin, tau, α-synuclein, prion, and amyloid-β. We also summarize how the aggregation kinetics, thermodynamic stability, and morphology of amyloid fibrils are altered significantly in the presence of crowding agents. In addition, we also discuss the molecular basis underlying the modulation of amyloidogenic aggregation, focusing on changes in the protein conformation, and the nucleation mechanism. The molecular understanding of the effects of macromolecular crowding on amyloid aggregation is essential for revealing disease pathologies and identifying possible therapeutic targets. Thus, this review offers a perspective on the complex interplay between protein aggregation and the crowded cellular environment in vivo and explains the relevance of crowding in the context of neurodegenerative disorders.

Nucleic Acid-Based Biological Nanopore Sensing Strategies for Tumor Marker Detection

Cancer, which is characterized by high mortality rates, poses a significant threat to global human health. Early diagnosis is of paramount importance in managing cancer, and tumor markers have emerged as crucial indicators for achieving this goal. The advent of precision medicine has further emphasized the need for the effective detection of these markers. However, traditional detection methods are hampered by numerous limitations. In recent years, nanopore technology has emerged as a promising alternative, due to its unique physical and chemical properties, which facilitate rapid, label-free, and amplification-free detection. This Review focuses on the direct detection of tumor markers through nucleic acid analysis and indirect detection mediated by nucleic acids and facilitated by biological nanopores. Furthermore, it also discusses the challenges and prospects of applying biological nanopore sensing technology in early cancer diagnosis, underscoring its potential to revolutionize tumor marker detection.

Secondary Nucleation of Aβ Revealed by Single-Molecule and Computational Approaches

Understanding the mechanisms underlying amyloid-β (Aβ) aggregation is pivotal in the context of Alzheimer's disease. This study aims to elucidate the secondary nucleation process of Aβ42 peptides by combining experimental and computational methods. Using a newly developed nanopipette-based amyloid seeding and translocation assay, confocal fluorescence spectroscopy, and molecular dynamics simulations, the influence of the seed properties on Aβ aggregation is investigated. Both fragmented and unfragmented seeds played distinct roles in the formation of oligomers, with fragmented seeds facilitating the formation of larger aggregates early in the incubation phase. The results show that secondary nucleation leads to the formation of oligomers of various sizes and structures as well as larger fibrils structured in β-sheets. From these findings a mechanism of secondary nucleation involving two types of aggregate populations, one released and one growing on the mother fiber is proposed.

Fluorescence-Based Monitoring of Early-Stage Aggregation of Amyloid-β, Amylin Peptide, Tau, and α-Synuclein Proteins

Early-stage aggregates of amyloid-forming proteins, specifically soluble oligomers, are implicated in neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, and Huntington's disease. Protein aggregation is typically monitored by fluorescence using the amyloid-binding fluorophore thioflavin T (ThT). Thioflavin T interacts, however, preferentially with fibrillar amyloid structures rather than with soluble, early-stage aggregates. In contrast, the two fluorophores, aminonaphthalene 2-cyanoacrylate-spiropyran (AN-SP) and triazole-containing boron-dipyrromethene (taBODIPY), were reported to bind preferentially to early-stage aggregates of amyloidogenic proteins. The present study compares ThT with AN-SP and taBODIPY with regard to their ability to monitor early stages of aggregation of four different amyloid-forming proteins, including amyloid-β (Aβ), tau protein, amylin, and α-synuclein. The results show that the three fluorophores vary in their suitability to monitor the early aggregation of different amyloid-forming proteins. For instance, in the presence of Aβ and amylin, the fluorescence intensity of AN-SP increased at an earlier stage of aggregation than the fluorescence of ThT, albeit with only a small fluorescence increase in the case of AN-SP. In contrast, in the presence of tau and amylin, the fluorescence intensity of taBODIPY increased at an earlier stage of aggregation than the fluorescence of ThT. Finally, α-synuclein aggregation could only be monitored by ThT fluorescence; neither AN-SP nor taBODIPY showed a significant increase in fluorescence over the course of aggregation of α-synuclein. These results demonstrate the ability of AN-SP and taBODIPY to monitor the formation of early-stage aggregates from specific amyloid-forming proteins at an early stage of aggregation, although moderate increases in fluorescence intensity, relatively large uncertainties in fluorescence values, and limited solubility of both fluorophores limit their usefulness for some amyloid proteins. The capability to monitor early aggregation of some amyloid proteins, such as amylin, might accelerate the discovery of aggregation inhibitors to minimize the formation of toxic oligomeric species for potential therapeutic use.

Influence of Seed structure on Volume distribution of α-Synuclein Oligomer at Early Stages of Aggregation using nanopipette

Understanding α-synuclein aggregation is crucial in the context of Parkinson's disease. The objective of this study was to investigate the influence of aggregation induced by preformed seeding on the volume of oligomers during the early stages, using a label-free, single-molecule characterization approach. By utilizing nanopipettes of varying sizes, the volume of the oligomers can be calculated from the amplitude of the current blockade and pipette geometry. Further investigation of the aggregates formed over time in the presence of added seeds revealed an acceleration in the formation of large aggregates and the existence of multiple distinct populations of oligomers. Additionally, we observed that spontaneously formed seeds inhibited the formation of smaller oligomers, in contrast to the effect of HNE seeds. These results suggest that the seeds play a crucial role in the formation of oligomers and their sizes during the early stages of aggregation, whereas the classical thioflavin T assay remains negative.

Single-Molecule Detection of α-Synuclein Oligomers in Parkinson's Disease Patients Using Nanopores

α-Synuclein (α-Syn) is an intrinsically disordered protein whose aggregation in the brain has been significantly implicated in Parkinson's disease (PD). Beyond the brain, oligomers of α-Synuclein are also found in cerebrospinal fluid (CSF) and blood, where the analysis of these aggregates may provide diagnostic routes and enable a better understanding of disease mechanisms. However, detecting α-Syn in CSF and blood is challenging due to its heterogeneous protein size and shape, and low abundance in clinical samples. Nanopore technology offers a promising route for the detection of single proteins in solution; however, the method often lacks the necessary selectivity in complex biofluids, where multiple background biomolecules are present. We address these limitations by developing a strategy that combines nanopore-based sensing with molecular carriers that can specifically capture α-Syn oligomers with sizes of less than 20 nm. We demonstrate that α-Synuclein oligomers can be detected directly in clinical samples, with minimal sample processing, by their ion current characteristics and successfully utilize this technology to differentiate cohorts of PD patients from healthy controls. The measurements indicate that detecting α-Syn oligomers present in CSF may potentially provide valuable insights into the progression and monitoring of Parkinson's disease.

Fast Probing Amyloid Polymorphism via Nanopore Translocation

Neurodegenerative diseases are characterized by the presence of cross-β-sheet amyloid fibrils and a rich mesoscopic polymorphism, requiring noninvasive detection with high fidelity. Here, we introduce a methodology that can probe via a sensitive synthetic nanopore the complex polymorphism of amyloid fibrils by an automated and fast screening protocol. Statistically analyzing the translocation events on two model amyloid systems derived from β-lactoglobulin and lysozyme allows extracting the cross-sectional configuration of hydrated amyloid fibrils from current block amplitude and correlating dwell time with fibril length. These findings are consistent with the amyloid polymorphs observed in solution by atomic force microscopy. Furthermore, the ionic current signal of a single translocation event can reveal abnormally aggregated conformations of amyloid fibrils without potential artifacts associated with microscopy methods. This study introduces an effective approach to physically discriminating and separating amyloid and may serve in the rapid diagnosis of early aggregating pathological amyloidosis.

Inhibition of Protein Aggregation and Endoplasmic Reticulum Stress as a Targeted Therapy for α-Synucleinopathy

α-synuclein (α-syn) is an intrinsically disordered protein abundant in the central nervous system. Physiologically, the protein regulates vesicle trafficking and neurotransmitter release in the presynaptic terminals. Pathologies related to misfolding and aggregation of α-syn are referred to as α-synucleinopathies, and they constitute a frequent cause of neurodegeneration. The most common α-synucleinopathy, Parkinson's disease (PD), is caused by abnormal accumulation of α-syn in the dopaminergic neurons of the midbrain. This results in protein overload, activation of endoplasmic reticulum (ER) stress, and, ultimately, neural cell apoptosis and neurodegeneration. To date, the available treatment options for PD are only symptomatic and rely on dopamine replacement therapy or palliative surgery. As the prevalence of PD has skyrocketed in recent years, there is a pending issue for development of new disease-modifying strategies. These include anti-aggregative agents that target α-syn directly (gene therapy, small molecules and immunization), indirectly (modulators of ER stress, oxidative stress and clearance pathways) or combine both actions (natural compounds). Herein, we provide an overview on the characteristic features of the structure and pathogenic mechanisms of α-syn that could be targeted with novel molecular-based therapies.