Опубликована: Май 8, 2024
Язык: Английский
Nature Communications, Год журнала: 2023, Номер 14(1)
Опубликована: Янв. 11, 2023
Nanozymes with superoxide dismutase (SOD)-like activity have attracted increasing interest due to their ability scavenge anion, the origin of most reactive oxygen species in vivo. However, SOD nanozymes reported thus far yet approach natural enzymes. Here, we report a carbon dot (C-dot) nanozyme catalytic over 10,000 U/mg, comparable that Through selected chemical modifications and theoretical calculations, show SOD-like C-dots relies on hydroxyl carboxyl groups for binding anions carbonyl conjugated π-system electron transfer. Moreover, C-dot exhibit intrinsic targeting oxidation-damaged cells effectively protect neuron ischemic stroke male mice model. Together, our study sheds light structure-activity relationship nanozymes, demonstrates potential treating oxidation stress related diseases.
Язык: Английский
Процитировано
331
International Journal of Nanomedicine, Год журнала: 2025, Номер Volume 20, С. 2427 - 2443
Опубликована: Фев. 1, 2025
The increasing global prevalence of cardiovascular diseases highlights the urgent need for innovative diagnostic and therapeutic strategies. Aptamers, small single-stranded nucleic acid molecules with exceptional specificity affinity target biomolecules, have emerged as promising tools precise diagnostics targeted therapies. Their selective binding capabilities provide valuable insights into molecular mechanisms underlying conditions. When integrated nanosystems, aptamers enhance delivery, bioavailability, stability agents, addressing challenges solubility degradation. This integration enables more drug advanced imaging techniques, improved interventions, ultimately improving management diseases. Recent advancements in aptamer selection methodologies, coupled their unique three-dimensional structures, significantly expanded application potential health. By combining novel approaches to disease diagnosis treatment are emerging, enhanced efficacy, safety, precision. review explores recent progress development aptamer-based nanosystems
Язык: Английский
Процитировано
2
Inflammopharmacology, Год журнала: 2024, Номер 32(2), С. 1387 - 1400
Опубликована: Март 2, 2024
Язык: Английский
Процитировано
6
Medicine, Год журнала: 2024, Номер 103(15), С. e37793 - e37793
Опубликована: Апрель 12, 2024
Acute myocardial infarction (AMI), the most severe cardiovascular event in clinical settings, imposes a significant burden with its annual increase morbidity and mortality rates. However, it is noteworthy that due to AMI developed countries has experienced decline, largely attributable advancements medical interventions such as percutaneous coronary intervention. This trend highlights importance of accurate diagnosis effective treatment preserve myocardium at risk improve patient outcomes. Conventional biomarkers myoglobin, creatine kinase isoenzymes, troponin have been instrumental AMI. recent years witnessed emergence new demonstrating potential further enhance accuracy diagnosis. literature review focuses on biomarker research context
Язык: Английский
Процитировано
5
Clinica Chimica Acta, Год журнала: 2024, Номер 561, С. 119766 - 119766
Опубликована: Июнь 8, 2024
Язык: Английский
Процитировано
5
Mathematics, Год журнала: 2024, Номер 12(17), С. 2693 - 2693
Опубликована: Авг. 29, 2024
Electrocardiography (ECG) plays a pivotal role in monitoring cardiac health, yet the manual analysis of ECG signals is challenging due to complex task identifying and categorizing various waveforms morphologies within data. Additionally, datasets often suffer from significant class imbalance issue, which can lead inaccuracies detecting minority samples. To address these challenges enhance effectiveness efficiency arrhythmia detection imbalanced datasets, this study proposes novel approach. This research leverages MIT-BIH dataset, encompassing total 109,446 beats distributed across five classes following Association for Advancement Medical Instrumentation (AAMI) standard. Given dataset’s inherent imbalance, 1D generative adversarial network (GAN) model introduced, incorporating Bi-LSTM synthetically generate two signal classes, represent mere 0.73% fusion (F) 2.54% supraventricular (S) The generated are rigorously evaluated similarity real data using three key metrics: mean squared error (MSE), structural index (SSIM), Pearson correlation coefficient (r). In addition addressing work presents deep learning models tailored classification: SkipCNN (a convolutional neural with skip connections), SkipCNN+LSTM, SkipCNN+LSTM+Attention mechanisms. further accuracy, test dataset assessed an ensemble model, consistently outperforms individual models. performance evaluation employs standard metrics such as precision, recall, F1-score, along their average, macro weighted average counterparts. Notably, SkipCNN+LSTM emerges most promising, achieving remarkable F1-scores 99.3%, were elevated impressive 99.60% through techniques. Consequently, innovative combination balancing techniques, GAN-SkipNet not only resolves posed by but also provides robust reliable solution detection. stands poised clinical applications, offering potential be deployed hospitals real-time detection, thereby benefiting patients healthcare practitioners alike.
Язык: Английский
Процитировано
5
Algorithms, Год журнала: 2024, Номер 17(8), С. 364 - 364
Опубликована: Авг. 19, 2024
Heart diseases such as cardiovascular and myocardial infarction are the foremost reasons of death in world. The timely, accurate, effective prediction heart is crucial for saving lives. Electrocardiography (ECG) a primary non-invasive method to identify cardiac abnormalities. However, manual interpretation ECG recordings disease diagnosis time-consuming inaccurate process. For accurate efficient detection from 12-lead dataset, we have proposed hybrid residual/inception-based deeper model (HRIDM). In this study, utilized datasets various sources, which multi-institutional large datasets. trained on data over 10,000 patients. We compared with several state-of-the-art (SOTA) models, LeNet-5, AlexNet, VGG-16, ResNet-50, Inception, LSTM, same training test To show effectiveness computational efficiency model, only 20 epochs without GPU support achieved an accuracy 50.87% dataset 27 categories found that our outperformed previous studies participated official PhysioNet/CinC Challenge 2020 fourth place 41 ranking teams. result study indicates implying new predicting using ECGs.
Язык: Английский
Процитировано
4
Drug Discovery Today, Год журнала: 2023, Номер 28(10), С. 103695 - 103695
Опубликована: Июль 4, 2023
Язык: Английский
Процитировано
11
Sensors & Diagnostics, Год журнала: 2024, Номер 3(6), С. 1020 - 1027
Опубликована: Янв. 1, 2024
Schematic illustration of the developed aptasensor for multiplex detection AMI biomarkers.
Язык: Английский
Процитировано
4
Biosensors and Bioelectronics, Год журнала: 2025, Номер 283, С. 117527 - 117527
Опубликована: Апрель 28, 2025
Язык: Английский
Процитировано
0