A same day α-synuclein RT-QuIC seed amplification assay for synucleinopathy biospecimens

A same day α-synuclein RT-QuIC seed amplification assay for synucleinopathy biospecimens

Introduction

Neurodegenerative disorders are caused by misfolding, aggregation, and accumulation of proteins in the brain1,2,3,4. The molecular pathology underlying synucleinopathies such as Parkinson’s disease (PD) and dementia with Lewy bodies (DLB) is characterized by misfolding and aggregation of abnormal α-synuclein (α-syn)5. Synucleinopathology is driven by α-syn assemblies that propagate through seeded polymerization and intercellular spreading6,7,8. In PD, motor symptoms appear after a long prodromal phase, followed by dementia in a majority of the patients at later stages. In DLB, cognitive deficits manifest earlier and progress faster than in PD9. DLB is the second most common cause of dementia after Alzheimer’s disease (AD). Lewy bodies (LBs) and Lewy neurites containing α-syn aggregates in neurons are associated with PD and DLB. Due to overlapping symptoms among various synucleinopathies and other neurodegenerative disorders, specific diagnosis at an early stage can be difficult10,11,12. However, magnetic resonance imaging of the brain (MRI brain), dopamine transporter (DaT) scans, PET scans, and blood work can help to rule out other medical conditions and support diagnoses of synucleinopathy13,14.

Real-time quaking-induced conversion (RT-QuIC) assays are seed amplification assays (SAAs) that exploit the seeded polymerization mechanism of various pathological protein assemblies to allow their ultrasensitive detection in tissues, biofluids, and contaminated surfaces. RT-QuIC assays provide a pathology-specific biomarker for neurodegenerative disorders15,16. Small amounts of misfolded proteins with seeding activity in biospecimens can be amplified by many orders of magnitude in vitro using recombinant α-syn as substrate in multi-well plates with thioflavin T (ThT) fluorescence-based detection. RT-QuIC assays have detected pathological α-syn aggregates in a variety of biospecimens including brain17, cerebrospinal fluid (CSF)18, olfactory mucosa19,20, submandibular gland21, blood and serum22,23, skin24,25, salivary gland26, and intestinal mucosa (IM)27, potentiating identification of synucleinopathy cases sensitively and specifically in prodromal phases of disease.

Commonly used α-syn RT-QuIC assays developed by us and others can detect seeding activity in diagnostic specimens within an overall ~48 h assay window28. Here, we report a faster same-day α-syn RT-QuIC (sdRT-QuIC) assay for various biological specimens, including brain, skin, and intestinal mucosa (IM), that, in most cases, can be completed within ~12 h. CSF α-syn sdRT-QuIC assay took a few hours longer to complete. Moreover, our assay works with equivalent sensitivity and specificity compared to our previous α-syn RT-QuIC-Rapid (RT-QuICR) assay28. While preparing this manuscript another study found, as we have, that the addition of non-ionic detergents can reduce RT-QuIC assay times in applications to CSF specimens29,30.The availability of these more rapid assays should accelerate, and reduce costs, of α-syn aggregate detection in both clinical and research applications.

Results

sdRT-QuIC assay development using brain homogenates

We used recombinant K23Q α-syn mutant as a substrate because we and others have found it to be more stable against spontaneous, unseeded nucleation than wildtype α-syn28. Assay conditions with variations in salt (Hofmeister ions as discussed previously31), temperature (42 to 50 °C), shaking speed (400 to 700 rpm), α-synuclein monomer concentration (0.09 to 0.12 mg/ml) and detergents (e.g., SDS (0.001 to 0.1%), Triton X-100 (0.001 to 0.2%) were compared to arrive at the current sdRT-QuIC conditions. We focused initially on the brain from DLB (n = 5), PD (n = 4), and non-synucleinopathy (NS) cases (n = 5) and performed end-point dilution analyses to compare seed concentrations and assay sensitivities as described previously28,32,33. In such assays, samples are serially diluted (titrated) to determine the dilution at which positive assay responses are lost. When seeded with 10−4 dilutions of brain tissue (Note: All subsequent dilution factors are given relative to the original specimen/tissue rather than homogenates thereof), DLB or PD cases gave a rapid increase in ThT fluorescence within 3–5 h in quadruplicate reactions, whereas the NS controls gave no enhancement over 12 h (Fig. 1). With further dilutions of DLB and PD brain homogenates (BH) down to 10−7 and 10−6 respectively, the quadruplicate reactions became ThT positive within 12 h. Beyond these near-end-point dilutions, smaller proportions of the quadruplicate reactions, if any, became ThT positive within 12 h. With the NS negative controls (n = 5), no above-threshold ThT fluorescence was observed when seeded with 10−4 to 10−8 dilutions. 1/time to threshold (1/TTT or 1/lag time) values at 10−4 dilution of the brain were used as an indication of relative protein aggregation rate (Fig. 1e). Mean 1/TTT values for PD and DLB brains were significantly higher than controls consistent with the presence of more seeding activity. A dose dependent decrease in 1/TTT was observed for DLB and PD brains with increasing dilutions. In summary, our final combination of Triton X-100 concentration, temperature, and shaking speed (i.e., sdRT-QuIC) accelerated the assay kinetics by ~4-fold without a disproportionate acceleration of NS control reactions. Other than the faster kinetics, these sdRT-QuIC results were consistent with previous α-syn RT-QuIC assays in terms of sensitivity and specificity, as reported by us and other labs28,34.

Fig. 1: Analysis of the brain using the RT-QuICR (a,b) and sdRT-QuIC (c-f) assays.
A same day α-synuclein RT-QuIC seed amplification assay for synucleinopathy biospecimens

ad End-point dilution analyses of single DLB (a, c) and PD (b, d) specimens. ThT fluorescence traces show means ± SD of quadruplicate reactions at the designated dilutions given with respect to the original tissue mass rather than homogenates thereof. Non-synucleinopathy (NS) brain at 10−4 dilution was included as a negative control, with the traces shown in (a, c) also applying to the plots in (b, d). e 1/TTT and f ThT maxima were obtained using 10−4 DLB (n = 5), PD (n = 4), and NS (n = 5) brain dilutions. Data points represent means of quadruplicate reactions from individual cases, and bars represent the mean ± SD of the means from all cases of that type. The same brain specimens were used in these RT-QuICR and sdRT-QuIC assays. Statistical significance is denoted as *p < 0.05, **p < 0.01, ***p < 0.001.

Full size image

sdRT-QuIC assay of the intestinal mucosa (IM) biopsies from PD and NS patients

To further evaluate the diagnostic potential of our sdRT-QuIC assay, we analyzed IM biopsies obtained from PD (n = 23) and NS control (n = 6) patients. IM samples were collected as described previously and blinded to the sdRT-QuIC analyst. End-point dilution analysis was performed on each of the PD IM samples with data from one PD and one NS controls shown in Fig. 2a. Like DLB and PD brains, PD IM TTT were 3–5 h at 10−3 dilution in majority of samples. The seeding activity was also detected at 10−4 dilution of IMs in all quadruplicate sdRT-QuIC reactions. One PD IM was ThT negative at 10−3 dilution but became positive on further dilution, consistent with our previous report using the RT-QuICR assay27; this was likely due to sample matrix inhibition at the higher concentration. All our NS control quadruplicates remained negative at the 10−3–10−5 dilutions that were tested (Fig. 2). The TTT and ThT max values obtained using 10−3 dilutions were significantly different between PD IMs and NS controls (Fig. 2b, c). In agreement with our previous study, IM samples 6, 7, and 21 contained less seeding activity than the other PD IMs (lowest 3 PD data points in Fig. 2c, d). Overall, other than the faster reaction kinetics (compare Fig. 2b, d; data in d were adapted from Fig. 3 of ref. 27 for comparative purposes), the sdRT-QuIC results were comparable to previous results using our RT-QuICR assay in terms of sensitivity and specificity27.

Fig. 2: sdRT-QuIC and RT-QuICR analyses of intestinal mucosa (IM) biopsies.
figure 2

a Representative end-point dilution analysis of a PD and an NS control IM sample. Data points indicate means ± SD of quadruplicate reactions at the designated dilutions of PD (n = 1) and control IMs (n = 1). b 1/time to threshold and c ThT maxima obtained from 10-3 dilutions of PD (n = 23) and NS (n = 6) IMs. d 1/TTT at 10−3 dilution of the same panel of PD and NS IMs using the RT-QuICR assay (data summarized from Fig. 3 of ref. 27). In bd, data points represent means of quadruplicate reactions from individual cases, and bars represent the mean ± SD of the means from all cases. The same IM specimens were used in the RT-QuICR and sdRT-QuIC assays. Statistical significance is denoted as *p < 0.05, **p < 0.01, ***p < 0.001.

Full size image
Fig. 3: sdRT-QuIC analysis of skin.
figure 3

a End-point dilution analysis of skin samples from representative PD (n = 1) and NS (n = 1) cases. Data points indicate means ± SD of quadruplicate reactions seeded with the designated dilutions of the PD skin samples. b 1/TTT and c ThT maxima obtained from 10−3 dilutions of PD skin (n = 6) and NS control (n = 5) cases. In b, c, data points represent means of quadruplicate reactions from individual cases, and bars represent the mean ± SD of the means from all cases. Statistical significance is denoted as *p < 0.05, **p < 0.01, ***p < 0.001.

Full size image

sdRT-QuIC analysis with skin samples

As with brain and IM specimens, sdRT-QuIC discriminated postmortem skin samples from PD and NS cases within 12 h. PD skin samples gave positive ThT responses in all quadruplicates at 10−3 to 10−4 dilutions, while only a subset of quadruplicates was ThT positive with further dilutions (Fig. 3). NS skin samples remained negative for all dilutions tested (10−3–10−5) (Fig. 3). The differences between the mean PD and NS skin 1/TTT and ThT maximum values were significant.

sdRT-QuIC analyses with antemortem PD CSF

We also applied our sdRT-QuIC assay to antemortem CSF specimens. All PD CSFs (n = 4) gave positive RT-QuIC responses within 10–12 h, whereas NS controls remained negative. There was clear discrimination between PD and NS CSFs in terms of ThT kinetics, 1/TTT, and ThT max (Fig. 4). However, CSF-seeded reaction kinetics were generally slower than observed with the other biospecimens, with lag phases averaging ~10 h (i.e., 1/TTT = 0.1 h−1). Overall, our sdRT-QuIC assay was sensitive enough to discriminate between CSF from PD and NS control cases. Furthermore, to quantify the seeding activity in PD samples, we performed an end-point dilution analysis. We detected seeding activity in as little as 0.46 µl of PD CSF (Fig. 4e), which was similar to what we have reported for another PD CSF using our RT-QuICR assay28.

Fig. 4: sdRT-QuIC analysis of CSF.
figure 4

Representative analyses of single PD and NS control CSF specimens using a RT-QuICR and b sdRT-QuIC. Traces show means ± SD of ThT fluorescence from quadruplicate reactions. c 1/TTT and d ThT maxima within 20 h of sdRT-QuIC reactions seeded with PD (n = 4) and NS (n = 4) CSFs. The same CSF samples were used in the respective RT-QuICR and sdRT-QuIC assays. Data points represent means of quadruplicate reactions from individual cases, and bars represent the mean ± SD of the means from all cases. e End-point dilutions of a PD CSF by sdRT-QuIC. Each trace represents the mean ± SD ThT fluorescence of quadruplicate wells. f log SD50/15 µl values for PD CSFs (n = 4). Statistical significance is denoted as *p < 0.05, **p < 0.01, ***p < 0.001.

Full size image

Relative α-syn seeding activities in different biospecimens

Using a modified Spearman–Kärber algorithm, we compared seed concentrations in different types of biospecimens by estimating the amount of sample containing enough seeding activity to yield positive (above-threshold) responses in 50% of technical replicate reactions, i.e., the 50% seeding dose or SD5035. SD50 is analogous to the 50% lethal dose (LD50) that is commonly estimated in titrations of pathogen titers in animal bioassays, and back calculations can determine the SD50 concentration per unit of undiluted sample. The average log SD50/mg of tissue values for DLB brains, and PD brains were 7.0 and 5.8, respectively. Similarly, log SDS50/mg values for PD skin and PD IM samples were 5.3 and 5.1. The average SDS50/15 µl for CSF was 9 (0.95 log) (Figs. 4f, 5). These sdRT-QuIC log SD50/mg were consistent with those obtained previously with RT-QuICR27,28.

Fig. 5: Seed concentration (log SD50/mg tissue) determination for DLB (n = 5) and PD (n = 4) brain, PD skin (n = 6), and PD IM (n = 23) samples by sdRT-QuIC.
figure 5

Data points represent log SD50/mg tissue values calculated from sample dilution series with quadruplicate reactions at each dilution, and bars represent mean ± SD of values from all cases.

Full size image

Discussion

Given that a diverse set of neurodegenerative disorders involve the accumulation of abnormal α-syn aggregates, it is important to have fast and sensitive assays for such aggregates. α-syn RT-QuIC assays offer detection methods that are more sensitive than, and complementary to, conventional methods such as immunohistochemistry, immunoblotting, and ELISA. This added sensitivity enhances the ability to detect α-syn aggregates in both primary and secondary synucleinopathies. The earliest α-syn SAAs, including the first α-syn RT-QuIC by Green et al.36 and the α-syn PMCA by Soto et al.18, had assay times ranging from 100 h to over 300 h. Sano et al. reported an αSyn RT-QuIC that could detect seeding activity in DLB brain tissues at extreme dilutions in 96 h17. Soon thereafter, some of us reported an α-syn RT-QuIC assay requiring only ~48 h28. In comparison, our sdRT-QuIC can be completed within ~12 h when assaying brain, skin, and IM specimens under the same assay conditions, while maintaining sensitivity comparable to our previously reported assay. For reasons that remain unclear, CSF specimens gave longer lag phases (mean = ~10 h) than the other biospecimens, but the CSF-seeded kinetics were nonetheless much faster than our previous assay (Fig. 4).

Influential factors in optimizing the assay speed and performance included temperature, salts, beads, shaking speed, and detergents can modulate the speed of RT-QuIC reactions29,37,38. However, the exact mechanisms behind the effects of these factors are not clear and are likely complex28. It seems likely that elevated temperature increases collision between seeds and monomers, and shaking helps with reaction mixing and fragmentation of growing fibrils to generate more seeding surfaces. Triton X-100 might improve the distribution of seeds and/or the conformation of monomers to predispose them to conversion. In any case, reduced assay times of sdRT-QuIC should enhance the practicality and cost-effectiveness of SAA applications in both research and clinical settings. Importantly, in our testing of synucleinopathy biospecimens, sdRT-QuIC sensitivity and specificity, as well as the relative seed concentrations measured in different types of biospecimens, were comparable to results obtained with previously reported SAAs27,28.

A limitation of this work is that was performed with a limited number of biospecimens to provide an initial proof-of-principle basis for many future applications. Clearly, testing on much larger and more complex sample sets will be required to better establish the sdRT-QuIC assay’s utility in clinical and research applications.

In summary, we have developed a faster α-syn RT-QuIC assay for ultrasensitive detection of pathological synuclein seeds in synucleinopathy brains, skin, and IM samples with an overall assay time of ~12 h. CSF assays required slightly longer but still less than 1 d. Further optimizations will be needed to make CSF analyses comparable in speed to those of the other biospecimens, and to establish sdRT-QuIC applications to more accessible biospecimens such as blood, tears, and saliva. Nonetheless, our same-day RT-QuIC assay should facilitate measurements of α-syn aggregates in diagnostics, high throughput screening of drug candidates, clinical trials, and fundamental research.

Methods

Expression and purification of α-syn

The α-syn protein was purified in-house using our previous method28 and the modified method described below. Briefly, 5 mL of LB media containing 50 μg/mL kanamycin were inoculated from a glycerol stock of E. coli bacteria containing vectors for K23Q α-syn protein. Following 5–6 h of incubation with continuous 225 rpm agitation at 37 °C, 1 L of the auto-induction media containing 50 μg/mL kanamycin was prepared, and the 5 mL starter culture was added. The cells were grown in a shaking incubator at 37 °C with shaking at 225 rpm, overnight. The next day, cells were harvested by splitting the 1 L culture into four 250 mL conical tubes and centrifuging at 3750 × g at 4 °C, for 12 min. The cell pellets were each suspended in 30 mL of 20 mM Tris pH 7.4, containing Benzonase Nuclease (EMD 70746-3 diluted 1:1000) and Roche Protease inhibitor tablet, transferred to a fresh 50 mL tube, mixed well with a 25 mL serological pipette, and then sonicated (4 × 45 s with 15 s rest) at a power setting of 45% using a probe sonicator (Sonics VibraCell, Newtown CT, USA) to lyse the bacterial cells. The 50 mL tubes were placed in a boiling water bath for 20 min to denature α-syn in the lysate. The lysates were then centrifuged at 9000 × g for 60 min at 20 °C. Supernatants were collected and combined from all four tubes. About 50 mL of 20 mM Tris pH 7.4 was added to the supernatant and filtered through a 0.22-μm vacuum filter. Next, the supernatant was loaded onto a 5 mL Ni-NTA column (Qiagen) on an Äkta Pure chromatography system (GE) and washed with 20 mM Tris, pH 7.5 at room temperature. The column was further washed with 50 mM imidazole, 20 mM Tris, and pH 7.5, which generated a peak in the 280 nm absorption elution profile that was not collected. A linear gradient from 50 to 500 mM imidazole in 20 mM Tris, pH 7.5, was applied, and a peak was collected between 150 and 375 mM imidazole. This peak was then loaded onto a Q-HP column (GE) and washed with 20 mM Tris, pH 7.5. The column was further washed with 100 mM NaCl, 20 mM Tris, and pH 7.5. A linear gradient up to 500 mM NaCl in 20 mM Tris, pH 7.5, was performed, and a peak was recovered between 300 and 350 mM NaCl. The protein was filtered through a 0.22-μm filter and dialyzed against prechilled PBS overnight at 4 °C using a 3.5 kDa MWCO dialysis membrane. The next day, the protein was moved into fresh prechilled PBS for another 4 h of dialysis. Protein solutions were filtered through a 0.22-μm filter, and the protein concentration was determined with a UV–VIS spectrophotometer using a theoretical extinction coefficient at 280 nm of 0.36 (mg/mL)−1 cm−1. The protein was then aliquoted and stored at −80 °C until further use.

Sample collection

Brain (DLB, PD), skin (PD), IM (PD), CSF (PD), and respective control samples used in this study were collected as described in our previous studies24,27,28,39. Descriptions of samples used in this study are given in Tables 1–4.

Table 1 List of synucleinopathy and control brain samples used in this study
Full size table
Table 2 List of PD and control skin autopsy samples used in this study
Full size table
Table 3 List of PD and control intestinal mucosal biopsy samples used in this study
Full size table
Table 4 List of synucleinopathy and control CSF samples used in this study*
Full size table

Brain homogenate preparation

Brain homogenates (BH; 10% w/v) were prepared by homogenizing the tissue in PBS using a bead beater for 1 min at maximum speed with zirconia beads (1 mm in diameter). The homogenate was then spun at 2000 × g for 2 min at room temperature. The supernatants were collected, and aliquots were stored at −80 °C until further use. For α-syn RT-QuIC testing, homogenates were serially diluted in PBS.

Skin homogenate preparation

Skin homogenates (SH; 10% w/v) were prepared by homogenizing the tissue in TBS homogenization buffer containing 2 mM CaCl2, 1 mg/mL Collagenase A (Roche Cat # 10 103586001) using a Bead Beater (Biospec Products; 11079110z) for 1 min at maximum speed. The homogenates were then incubated in a TBS homogenization buffer at 37 °C for 2 h and then homogenized again for 1 min at maximum speed in a Bead Beater. The homogenates were then spun at 2000 × g for 2 min at room temperature, and the supernatants were transferred to a new tube and stored at −80 °C until further use in α-syn RT-QuIC assay.

Intestinal mucosa homogenates preparation

IM samples were homogenized as discussed in our previous paper27. After thawing, IMs were washed 3x in PBS, weighed, and homogenized at 10% (w/vol) in ice-cold homogenization buffer containing 1x PBS, 0.1% Triton X-100, 150 mM NaCl, 5 mM of ethylene-diamino-tetraacetic acid (EDTA), and complete protease inhibitor without EDTA (Roche). Homogenization was performed using 1 mm zirconia beads in a mini-Bead Beater, with four 1-min rounds at maximum speed, with cooling between each round. The homogenates were then centrifuged for 5 min at 500 × g. Aliquots of the supernatants were stored at −80 °C until further use.

Original RT-QuICR assay

RT-QuIC assays were performed in black 96-well plates with a clear bottom (Nalgene Nunc International, Rochester, NY). Wells were loaded with six beads, 0.8 mm in diameter (molecular biology grade silica beads, OPS Diagnostics, Lebanon, NJ). For reactions seeded with brain, skin, and IM homogenates, 2 μL of the indicated dilutions of homogenate were added to wells containing 98 μL of the reaction mix with a final concentration of 40 mM phosphate buffer (pH 8), 170 mM NaCl, 0.1 mg/ml recombinant α-syn, and 10 μM of ThT. For CSF seeded reactions 85 µL of a reaction mixture was mixed with 15 µL of CSF, to give final assay concentrations of 40 mM phosphate buffer (pH 8.0), 170 mM NaCl, 10 μM thioflavin T (ThT), 0.0015% sodium dodecyl sulfate, and 0.1 mg/mL of recombinant α-syn, which was purified as described previously28. The α-syn was filtered through a 100 kDa molecular weight cutoff filter immediately prior to use. Reactions were performed in quadruplicate. The plate was sealed with a plate sealer film (Nalgene Nunc International) and incubated at 42 °C in a BMG FLUOstar Omega plate reader (BMG Labtech, Cary, NC) with cycles of 1 min shaking (400 rpm double orbital) and 1 min rest. ThT fluorescence measurements (450 ± 10 nm excitation and 480 ± 10 nm emission; bottom read) were taken every 45 min.

sdRT-QuIC assay

sdRT-QuIC reactions were performed in black 96-well plates with a clear bottom (Nalgene Nunc International, Rochester, NY). The wells were preloaded with six 0.8 mm in diameter molecular biology grade silica beads (OPS Diagnostics, Lebanon, NJ). For reactions seeded with brain, skin and IM homogenates, 2 μL of the indicated dilutions of homogenate were added to wells containing 98 μL of the reaction mix with final concentration of 40 mM phosphate buffer (pH 8), 150 mM NaCl, 0.1% Triton X-100, 0.1 mg/ml recombinant α-syn and 10 μM of ThT. For CSF-seeded reactions, 85 µL of the reaction mixture and 15 μL of CSF was added per well to give final concentrations of 40 mM phosphate buffer (pH 8.0), 150 mM NaCl, 0.1% Triton X-100, 0.1 mg/mL recombinant α-syn and 10 μM ThT. Reactions were carried out in quadruplicate. The protein was filtered through a 100 kD MWCO filter immediately before use. The plate was sealed with a plate sealer film (Nalgene Nunc International) and incubated at 50 °C in a BMG FLUOstar Omega plate reader (BMG Labtech, Cary, NC) with cycles of 1 min shaking (700 rpm double orbital) and 1 min rest. ThT fluorescence measurements (450 ± 10 nm excitation and 480 ± 10 nm emission; bottom read) were taken every 45 min. Samples were classified as RT-QuIC positive or negative based on criteria similar to those previously described32. A sample was considered positive overall when at least two of four replicate wells crossed this calculated threshold.

Statistical analysis

Student’s T-test was used to analyze differences between cases and controls. Variability of the data were presented as mean ± SD. All statistical analyses were performed and plotted using the GraphPad Prism software. Statistical significance was set at p < 0.05.

Ethics approval

Skin samples were obtained postmortem under IRB# NHR-16-16 from the Center for Clinical Research and Technology at Case Medical Center who determined that the use of the samples did not qualify under Federal regulations as “human subject research”. The collection of IM biopsies was approved by the Institutional Ethics Committee (Prot.PG/2017/17817) of the Azienda Ospedaliera Universitaria di Cagliari, Italy. Antemortem CSF samples were obtained from the National Institute of Neurological Disorders and Stroke (NINDS) under a secondary research protocol (000490) approved by the NIH IRB. Brain tissue specimens were obtained postmortem from the Indiana University School of Medicine and the NIH Brain & Tissue repository-California. No additional ethical permission was needed because the samples were taken from deceased, deidentified, consenting individuals. Written informed consent was obtained from patients or their legal representatives for the collection of all specimens (i.e., brain tissue, skin, cerebrospinal fluid, and OM). All samples were deidentified prior to shipping to NIAID for the assays performed in this study.

Related Articles

Visual detection of misfolded alpha-synuclein and prions via capillary-based quaking-induced conversion assay (Cap-QuIC)

Neurodegenerative protein misfolding diseases impact tens of millions of people worldwide, contributing to millions of deaths and economic hardships across multiple scales. The prevalence of neurodegenerative disease is predicted to greatly increase over the coming decades, yet effective diagnostics for such diseases are limited. Most diagnoses come from the observation of external symptoms in clinical settings, which typically manifest during relatively advanced stages of disease, thus limiting potential therapeutic applications. While progress is being made on biomarker testing, the underlying methods largely rely on fragile and expensive equipment that limits their point-of-care potential, especially in developing countries. Here we present Capillary-based Quaking Induced Conversion (Cap-QuIC) as a visual diagnostic assay based on simple capillary action for the detection of neurodegenerative disease without necessitating expensive and complex capital equipment. We demonstrate that Cap-QuIC has the potential to be a detection tool for a broad range of misfolded proteins by successfully distinguishing misfolded versus healthy proteins associated with Parkinson’s disease (α-synuclein) and Chronic Wasting Disease (prions). Additionally, we show that Cap-QuIC can accurately classify biological tissue samples from wild white-tailed deer infected with Chronic Wasting Disease. Our findings elucidate the underlying mechanism that enables the Cap-QuIC assay to distinguish misfolded protein, highlighting its potential as a diagnostic technology for neurodegenerative diseases.

Rapid on-site amplification and visual detection of misfolded proteins via microfluidic quaking-induced conversion (Micro-QuIC)

Protein misfolding diseases, such as prion diseases, Alzheimer’s, and Parkinson’s, share a common molecular mechanism involving the misfolding and aggregation of specific proteins. There is an urgent need for point-of-care (POC) diagnostic technologies that can accurately detect these misfolded proteins, facilitating early diagnosis and intervention. Here, we introduce the microfluidic quaking-induced conversion (Micro-QuIC), a novel acoustofluidic platform for the rapid and sensitive detection of protein misfolding diseases. We demonstrate the utility of our technology using chronic wasting disease (CWD) as a model system, since samples from wild white-tailed deer are readily accessible, and CWD shares similarities with human protein misfolding diseases. Acoustofluidic mixing enables homogeneous mixing of reagents in a high-Reynolds-number regime, significantly accelerating the turnaround time for CWD diagnosis. Our Micro-QuIC assay amplifies prions significantly faster than the current gold standard, real-time quaking-induced conversion (RT-QuIC). Furthermore, we integrated Micro-QuIC with a gold nanoparticle-based, naked-eye detection method, which enables visual discrimination between CWD-positive and CWD-negative samples without the need for a bulky fluorescence detection module. This integration creates a rapid, POC testing platform capable of detecting misfolded proteins associated with a variety of protein misfolding diseases.

Whole-genome sequencing to identify rare variants in East Asian patients with dementia with Lewy bodies

Dementia with Lewy bodies (DLB) is the second most common form of age-related dementia, following Alzheimer’s disease (AD). DLB is associated with a worse prognosis than AD and is characterized by a more rapid progression of cognitive impairment and a poorer quality of life. In addition, the pathogenesis of DLB is less understood than that of AD, and only three genes—SNCA (α‐synuclein), APOE (apolipoprotein E), and GBA1 (glucosylceramidase beta 1)—have been convincingly demonstrated to be associated with DLB. In this study, we utilized whole-genome sequencing data from 1744 Japanese individuals, comprising 45 DLB patients and 1699 cognitively normal older adults, aiming to identify new genes associated with DLB. Our genome-wide association studies of genes with potentially deleterious mutations identified the CDH23 gene as being associated with DLB, reaching a Bonferroni-corrected significance (P = 7.43 × 10−4). The gene contained three ethnicity-specific heterozygous missense variants (rs181275139, rs563688802, and rs137937502). CDH23 has been linked to deafness syndromes, and DLB patients carrying these mutations displayed symptoms of subjective hearing loss, suggesting a potential association between DLB onset and auditory impairment. Additionally, we explored human leukocyte antigen (HLA) genotypes associated with DLB but found no significant associations. This result suggests that the pathology of DLB differs from that of Parkinson’s disease, which has been reported to have an association with HLA. Although a limitation of this study is the lack of replication of our findings, which require further validation in independent cohorts, our study enhances the understanding of the etiology of DLB in the Japanese population and provides new insights into the underlying mechanisms of its pathogenesis.

Iron homeostasis and ferroptosis in muscle diseases and disorders: mechanisms and therapeutic prospects

The muscular system plays a critical role in the human body by governing skeletal movement, cardiovascular function, and the activities of digestive organs. Additionally, muscle tissues serve an endocrine function by secreting myogenic cytokines, thereby regulating metabolism throughout the entire body. Maintaining muscle function requires iron homeostasis. Recent studies suggest that disruptions in iron metabolism and ferroptosis, a form of iron-dependent cell death, are essential contributors to the progression of a wide range of muscle diseases and disorders, including sarcopenia, cardiomyopathy, and amyotrophic lateral sclerosis. Thus, a comprehensive overview of the mechanisms regulating iron metabolism and ferroptosis in these conditions is crucial for identifying potential therapeutic targets and developing new strategies for disease treatment and/or prevention. This review aims to summarize recent advances in understanding the molecular mechanisms underlying ferroptosis in the context of muscle injury, as well as associated muscle diseases and disorders. Moreover, we discuss potential targets within the ferroptosis pathway and possible strategies for managing muscle disorders. Finally, we shed new light on current limitations and future prospects for therapeutic interventions targeting ferroptosis.

Brain O-GlcNAcylation: Bridging physiological functions, disease mechanisms, and therapeutic applications

O-GlcNAcylation, a dynamic post-translational modification occurring on serine or threonine residues of numerous proteins, plays a pivotal role in various cellular processes, including gene regulation, metabolism, and stress response. Abundant in the brain, O-GlcNAcylation intricately governs neurodevelopment, synaptic assembly, and neuronal functions. Recent investigations have established a correlation between the dysregulation of brain O-GlcNAcylation and a broad spectrum of neurological disorders and injuries, spanning neurodevelopmental, neurodegenerative, and psychiatric conditions, as well as injuries to the central nervous system (CNS). Manipulating O-GlcNAcylation has demonstrated neuroprotective properties against these afflictions. This review delineates the roles and mechanisms of O-GlcNAcylation in the CNS under both physiological and pathological circumstances, with a focus on its neuroprotective effects in neurological disorders and injuries. We discuss the involvement of O-GlcNAcylation in key processes such as neurogenesis, synaptic plasticity, and energy metabolism, as well as its implications in conditions like Alzheimer’s disease, Parkinson’s disease, and ischemic stroke. Additionally, we explore prospective therapeutic approaches for CNS disorders and injuries by targeting O-GlcNAcylation, highlighting recent clinical developments and future research directions. This comprehensive overview aims to provide insights into the potential of O-GlcNAcylation as a therapeutic target and guide future investigations in this promising field.

Responses

Your email address will not be published. Required fields are marked *