Convolutional transformer-driven robust electrocardiogram signal denoising framework with adaptive parametric ReLU.

The electrocardiogram (ECG) is a widely used diagnostic tool for cardiovascular diseases. However, ECG recording is often subject to various noises, which can limit its clinical evaluation. To address this issue, we propose a novel Transformer-based convolutional neural network framework with adaptively parametric ReLU (APtrans-CNN) for ECG signal denoising. The proposed APtrans-CNN architecture combines the strengths of transformers in global feature learning and CNNs in local feature learning to address the inadequacy of learning with long sequence time-series features. By fully exploiting the global features of ECG signals, our framework can effectively extract critical information that is necessary for signal denoising. We also introduce an adaptively parametric ReLU that can assign a value to the negative information contained in the ECG signal, thereby overcoming the limitation of ReLU to retain negative information. Additionally, we introduce a dynamic feature aggregation module that enables automatic learning and retention of valuable features while discarding useless noise information. Results obtained from two datasets demonstrate that our proposed APtrans-CNN can accurately extract pure ECG signals from noisy datasets and is adaptable to various applications. Specifically, when the input consists of ECG signals with a signal-to-noise ratio (SNR) of -4 dB, APtrans-CNN successfully increases the SNR to more than 6 dB, resulting in the diagnostic model's accuracy exceeding 96%.

A Dual-Responsive Morphologically-Adaptable Nanoplatform for Targeted Delivery of Activatable Photosensitizers in Precision Photodynamic Therapy.

Photodynamic therapy (PDT) is an effective approach for treating melanoma. However, the photosensitizers employed in PDT can accumulate in healthy tissues, potentially causing harm to normal cells and resulting in side effects such as heightened photosensitivity. To address this, an activatable photosensitizer (PSD) by linking PpIX with a fluorescence quencher using a disulfide bond is designed. PSD responded to endogenous GSH, showing high selectivity for A375 cells. To enhance PSD's bioavailability and anticancer efficacy, an enzyme-responsive nanoplatform based on a lonidamine-derived self-assembling peptide is developed. Initially, PSD and the peptide self-assembled into nanoparticles, displaying potent tumor targeting of PSD in vivo. Upon cell uptake, these nanoparticles specifically responded to elevated cathepsin B, causing nanoparticle disintegration and releasing PSD and lonidamine prodrug (LND-1). PSD is selectively activated by GSH for cancer-specific fluorescence imaging and precision PDT, while LND-1 targeted mitochondria, forming a fibrous lonidamine depot in situ and intensifying photosensitizer's cytotoxicity through ROS generation, mitochondrial dysfunction, and DNA damage. Notably, intravenous administration of LND-1-PEG@PSD with light irradiation significantly suppressed A375-xenografted mouse tumor growth, with minimal systemic toxicity. Together, the synergy of activatable photosensitizer and enzyme-responsive nanoplatform elevates PDT precision and diminishes side effects, showcasing significant potential in the realm of cancer nanomedicine.

Cascade-Activated AIEgen-Peptide Probe for Noninvasively Monitoring Chymotrypsin-like Activity of Proteasomes in Cancer Cells.

Noninvasive monitoring of chymotrypsin-like (ChT-L) activity of proteasomes is of great significance for the diagnosis and prognosis of various cancers. However, commercially available proteasome probes usually lack adequate cancer-cell selectivity. To noninvasively monitor ChT-L activity of proteasomes in living cells, we rationally designed a cascade-activated AIEgen-peptide probe (abbreviated as TPE-1p), which self-assembled in aqueous solution to exhibit bright fluorescence in response to sequential treatment of alkaline phosphatase (ALP) and ChT-L. Transmission electron microscopy, enzymatic kinetics, and in vitro fluorescence experiments validated that TPE-1p was efficiently dephosphorylated by ALP to generate TPE-1, which was recognized by ChT-L in the proteasome, and transformed to form nanofibers with strong fluorescence signals. Cell imaging experiments revealed that bright blue fluorescence was observed in TPE-1p-treated HeLa cells, whereas NIH3T3 and HepG2 cells showed less fluorescence at the same condition. The enhanced fluorescence signals in HeLa cells were attributed to the high activities of endogenous ALP and ChT-L. Moreover, TPE-1p was utilized to noninvasively assess the inhibition efficiency of a ChT-L inhibitor (bortezomib, abbreviated as Btz) in HeLa cells. Significant correlation was found between the fluorescence signals of TPE and the viabilities of Btz-treated cells in concentration ranges from 0 to 1 µM, indicating that TPE-1p could be employed to predict the activity of ChT-L inhibitors. The design of the cascade-activated AIEgen-peptide probe provides a viable approach for noninvasively monitoring the ChT-L activity of proteasomes in living cells, which facilitates high-throughput screening of ChT-L inhibitors in cancer therapy.

Self-assembling NBD-tripeptide as a dual-mode colorimetric platform for naked eye and smartphone joint detection of micro to nanomolar Copper(II) ions.

Compared to conventionally synthesized organic compounds, peptides with amphiphiles have unique advantages, especially in self-assembly. Herein, we reported a peptide-based molecule rationally designed for the visual detection of copper ions (Cu2+) in multiple modes. The peptide exhibited excellent stability, high luminescence efficiency, and environmentally responsive molecular self-assembly in water. In the presence of Cu2+, the peptide undergoes an ionic coordination interaction and a coordination-driven self-assembly process that leads to the quenching of fluorescence and the formation of aggregates. Therefore, the concentration of Cu2+ can be determined by the residual fluorescence intensity and the color difference between peptide and competing chromogenic agents before and after Cu2+ incorporation. More importantly, this variation in fluorescence and color can be presented visually, thus allowing qualitative and quantitative analysis of Cu2+ based on the naked eye and smartphones. Overall, our study not only extends the application of self-assembling peptides but also provides a universal method for dual-mode visual detection of Cu2+, which would significantly promote point-of-care testing (POCT) of metal ions in pharmaceuticals, food, and drinking water.

Separation and identification of ACE inhibitory peptides from lizard fish proteins hydrolysates by metal affinity-immobilized magnetic liposome.

Purification of peptides responsible for angiotensin I-converting enzyme (ACE) inhibitory activity from highly complex protein hydrolysates is difficult. Affinity chromatography is a powerful method for purification of peptides. In this study, a metal affinity-immobilized magnetic liposome (MA-IML) was prepared using lipid, N-hexadecyl iminodiacetic acid (HIDA) and magnetic nanoparticles made of FeCl3·6H2O and FeCl2·4H2O as main materials. MA-IML was used to adsorb ACE inhibitory peptides from lizard fish proteins hydrolysates. The optimal pH of adsorption solution was 8.5. The peptide sample adsorbed by MA-IML was separated by reverse phase-high performance liquid chromatography (RP-HPLC). Upon amino acid sequence analysis and verification, an ACE inhibitory peptide with IC50 value of 108 µM was identified to be VYP. Molecular docking results indicated that VYP bound to ACE via multiple binding sites. The present study demonstrated that MA-IML might be a useful tool for separating ACE inhibitory peptides from proteins hydrolysates.