Conventional Alzheimer's disease research mainly focuses on cerebrospinal fluid, which requires an invasive sampling procedure. This method carries inherent risks for patients and could potentially lower patient compliance. EVs (Extracellular Vesicles) and blood are two emerging noninvasive mediators reflecting the pathological changes of Alzheimer's disease. Integrating the two serum proteomic information based on DIA (Data Independent Acquisition) is conducive to the comparison of serological research strategies, mining pathological information of AD, and evaluating the potential of EVs and blood in the diagnosis of AD. We generated a combined proteomic data resource of 39 serum samples derived from patients with AD and from age-matched controls (AMC) and identified 639 PGs (protein groups) in serum samples and 714 PGs in serum EV samples. The differentially expressed protein groups identified in both serum and serum EV provide a reflective profile of the pathological characteristics associated with AD. The combined strategy performed well, identifying 40 potential diagnostic markers with AUC values above 0.85, including two molecular diagnostic models that achieved an effectiveness score of 0.991.
Nitrate (NO3−) ion contamination of water is a major issue that affects many parts of the world due to excessive usage of nitrogen containing fertilizers in the soil. Hence, quantification of NO3− ions in the soil is of utmost importance. In the present research work, we have developed an efficient and highly stable non-enzymatic electrochemical sensor for NO3− ion detection based on allylamine capped copper nanoparticles (Alym@CuNPs) decorated on exfoliated multi-walled carbon nanotubes (Exf-CNTs). Herein, we have addressed the sensor surface storage stability issue of copper nanoparticle based electrochemical sensors for the first time and confirmed the superior storage stability of the Alym@CuNPs modified glassy carbon electrode (GCE) over uncapped copper nanoparticles (uCuNPs) and electrodeposited copper nanoparticles (eCuNPs) modified GCEs. In comparison to the bare GCE, Exf-CNT/GCE and Alym@CuNPs/Exf-CNT/GCE, the proposed Alym@CuNPs-Nafion (NF)/Exf-CNT/GCE demonstrated enhanced catalytic activity towards the electro-reduction of NO3− ions (pH = 2) under optimal experimental conditions, with a considerable increase in cathodic peak currents. Along with that, no inert gas was purged into the electrolyte medium prior to the detection of NO3− ions which makes the sensor more reliable under real environmental conditions. The sensor displayed broad linear ranges from 10 to 1000 μM (R2 = 0.997), with a limit of detection (LOD) of 5.28 μM (n = 3) for NO3− ion detection. The sensor surface shows excellent storage stability even up to 45 days with 97.8% retention in current value which is much higher compared to the previously reported works. Additionally, the sensor surface shows promising reproducibility and repeatability results with RSD values of 1.78% and 0.91%, respectively. Moreover, the proposed sensor is successfully utilized to detect NO3− ions in real soil samples.
Giant plasma membrane vesicles (GPMVs) incorporating connexin proteins, referred to as connectosomes, serve as promising tools for studying cell membrane properties and intercellular communication. This study aimed to evaluate the membrane capacitance of connectosomes derived from HeLa cells and establish a method for assessing the gate function of connexin hemichannels. We investigated the behavior of dielectrophoresis (DEP) manipulation of connectosomes and HeLa cells by using microwell array electrodes. The frequency dependence of DEP force for connectosomes and HeLa cells suggested a low membrane capacitance of the connectosomes compared to that of HeLa cells. Positive DEP (p-DEP) was used to trap the connectosomes in the microwell array, where a relatively strong electric field was formed. This approach facilitated monitoring of the fluorescence intensity of individual connectosomes immediately after the solutions were exchanged, enhancing our ability to assess the release dynamics of fluorescent molecules and the hemichannel's open/closed states. The results confirmed that connexin hemichannels were regulated by the exterior concentration of Ca2+, allowing selective control over drug storage and release. The method developed in this study elucidates the functional properties of connectosomes and would provide a valuable platform for future applications in targeted drug delivery systems.
mRNA technology has significantly changed the timeline for developing and delivering a new vaccine from years to months, as demonstrated by the development and approval of two highly efficacious vaccines based on mRNA sequences encoding for a modified version of the SARS-CoV-2 spike protein. Analytical methods are required to characterise mRNA therapeutics and underpin manufacturing development. In this study, we have developed and utilised partial RNase digests of mRNA using RNase T1 and RNase U2 in conjunction with an automated, high throughput workflow for the rapid characterisation and direct sequence mapping of mRNA therapeutics. In conjunction with this, we have developed novel software engineered to optimise and streamline the visualisation and analysis of sequence mapping of mRNA using LC-MS/MS. We show that increased mRNA sequence coverage is obtained by combining multiple partial RNase T1 digests-44% and 37% individually, 64% together-or RNase T1 and U2 partial digests-73% and 52% individually, 88% combined. The developed software automates the process of combining digests, ensuring faster and more accurate analysis. Furthermore, the software provides additional information on sequence coverage by taking into account multiple overlapping oligoribonucleotide fragments to increase the confidence of the sequence mapping. Finally, the software enables powerful and accessible visualisation capabilities by generating spiral plots to quickly analyse the sequence maps in a single output from combined multiple partial RNase digests.