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"Lin, Yuqing"
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Single-atom Ni-N4 provides a robust cellular NO sensor
Nitric oxide (NO) has been implicated in a variety of physiological and pathological processes. Monitoring cellular levels of NO requires a sensor to feature adequate sensitivity, transient recording ability and biocompatibility. Herein we report a single-atom catalysts (SACs)-based electrochemical sensor for the detection of NO in live cellular environment. The system employs nickel single atoms anchored on N-doped hollow carbon spheres (Ni SACs/N-C) that act as an excellent catalyst for electrochemical oxidation of NO. Notably, Ni SACs/N-C shows superior electrocatalytic performance to the commonly used Ni based nanomaterials, attributing from the greatly reduced Gibbs free energy that are required for Ni SACs/N-C in activating NO oxidation. Moreover, Ni SACs-based flexible and stretchable sensor shows high biocompatibility and low nanomolar sensitivity, enabling the real-time monitoring of NO release from cells upon drug and stretch stimulation. Our results demonstrate a promising means of using SACs for electrochemical sensing applications.
The monitoring of nitric oxide is important to a number of disease states and biomedical applications. Here, the authors report on a single nickel atom catalyst based sensor for detecting nitric oxide production from cells.
Journal Article
A Comparative Study of Machine Learning and Deep Learning Techniques for Fake News Detection
Efforts have been dedicated by researchers in the field of natural language processing (NLP) to detecting and combating fake news using an assortment of machine learning (ML) and deep learning (DL) techniques. In this paper, a review of the existing studies is conducted to understand and curtail the dissemination of fake news. Specifically, we conducted a benchmark study using a wide range of (1) classical ML algorithms such as logistic regression (LR), support vector machines (SVM), decision tree (DT), naive Bayes (NB), random forest (RF), XGBoost (XGB) and an ensemble learning method of such algorithms, (2) advanced ML algorithms such as convolutional neural networks (CNNs), bidirectional long short-term memory (BiLSTM), bidirectional gated recurrent units (BiGRU), CNN-BiLSTM, CNN-BiGRU and a hybrid approach of such techniques and (3) DL transformer-based models such as BERTbase and RoBERTabase. The experiments are carried out using different pretrained word embedding methods across four well-known real-world fake news datasets—LIAR, PolitiFact, GossipCop and COVID-19—to examine the performance of different techniques across various datasets. Furthermore, a comparison is made between context-independent embedding methods (e.g., GloVe) and the effectiveness of BERTbase—contextualised representations in detecting fake news. Compared with the state of the art’s results across the used datasets, we achieve better results by solely relying on news text. We hope this study can provide useful insights for researchers working on fake news detection.
Journal Article
Association of the non-HDL cholesterol to HDL cholesterol ratio with possible sarcopenic obesity in Chinese adults
Sarcopenic obesity (SO) is a major public health concern linked to lipid metabolism disorders. This study investigated the association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and possible SO prevalence in China using data from the 2015 China Health and Retirement Longitudinal Study (CHARLS). Among 3,320 participants(21.02% men; median age 66.00 years [interquartile range, IQR 62.00–71.00]), multivariate logistic regression revealed that individuals in the highest NHHR tertile had a 66% increased risk of possible SO compared to the lowest tertile. Restricted cubic spline analysis identified a significant nonlinear relationship (
p
< 0.05). A two-piecewise regression model showed that for NHHR < 3.262, the adjusted odds ratio (OR) for possible SO was 2.27 (95% CI, 1.48–3.45;
p
< 0.001), whereas for NHHR ≥ 3.262, the OR was 0.97 (95% CI, 0.78–1.21;
p
= 0.78). This finding suggests that NHHR could serve as a novel and convenient biomarker for possible SO risk stratification; maintaining an NHHR below 3.262 may be a valuable target for preventing possible SO in the middle-aged and elderly Chinese population.
Journal Article
Gallic Acid Alleviates Gouty Arthritis by Inhibiting NLRP3 Inflammasome Activation and Pyroptosis Through Enhancing Nrf2 Signaling
Gallic acid is an active phenolic acid widely distributed in plants, and there is compelling evidence to prove its anti-inflammatory effects. NLRP3 inflammasome dysregulation is closely linked to many inflammatory diseases. However, how gallic acid affects the NLRP3 inflammasome remains unclear. Therefore, in the present study, we investigated the mechanisms underlying the effects of gallic acid on the NLRP3 inflammasome and pyroptosis, as well as its effect on gouty arthritis in mice. The results showed that gallic acid inhibited lactate dehydrogenase (LDH) release and pyroptosis in lipopolysaccharide (LPS)-primed and ATP-, nigericin-, or monosodium urate (MSU) crystal-stimulated macrophages. Additionally, gallic acid blocked NLRP3 inflammasome activation and inhibited the subsequent activation of caspase-1 and secretion of IL-1β. Gallic acid exerted its inhibitory effect by blocking NLRP3-NEK7 interaction and ASC oligomerization, thereby limiting inflammasome assembly. Moreover, gallic acid promoted the expression of nuclear factor E2-related factor 2 (Nrf2) and reduced the production of mitochondrial ROS (mtROS). Importantly, the inhibitory effect of gallic acid could be reversed by treatment with the Nrf2 inhibitor ML385. NRF2 siRNA also abolished the inhibitory effect of gallic acid on IL-1β secretion. The results further showed that gallic acid could mitigate MSU-induced joint swelling and inhibit IL-1β and caspase 1 (p20) production in mice. Moreover, gallic acid could moderate MSU-induced macrophages and neutrophils migration into joint synovitis. In summary, we found that gallic acid suppresses ROS generation, thereby limiting NLRP3 inflammasome activation and pyroptosis dependent on Nrf2 signaling, suggesting that gallic acid possesses therapeutic potential for the treatment of gouty arthritis.
Journal Article
Corilagin Restrains NLRP3 Inflammasome Activation and Pyroptosis through the ROS/TXNIP/NLRP3 Pathway to Prevent Inflammation
Corilagin, a gallotannin, shows excellent antioxidant and anti-inflammatory effects. The NLRP3 inflammasome dysfunction has been implicated in a variety of inflammation diseases. However, it remains unclear how corilagin regulates the NLRP3 inflammasome to relieve gouty arthritis. In this study, bone marrow-derived macrophages (BMDMs) were pretreated with lipopolysaccharide (LPS) and then incubated with NLRP3 inflammasome agonists, such as adenine nucleoside triphosphate (ATP), nigericin, and monosodium urate (MSU) crystals. The MSU crystals were intra-articular injected to induce acute gouty arthritis. Here we showed that corilagin reduced lactate dehydrogenase (LDH) secretion and the proportion of propidium iodide- (PI-)stained cells. Corilagin suppressed the expression of N-terminal of the pyroptosis executive protein gasdermin D (GSDMD-NT). Corilagin restricted caspase-1 p20 and interleukin (IL)-1β release. Meanwhile, corilagin attenuated ASC oligomerization and speck formation. Our findings confirmed that corilagin diminished NLRP3 inflammasome activation and macrophage pyroptosis. We further discovered that corilagin limited the mitochondrial reactive oxygen species (ROS) production and prevented the interaction between TXNIP and NLRP3, but ROS activator imiquimod could antagonize the inhibitory function of corilagin on NLRP3 inflammasome and macrophage pyroptosis. Additionally, corilagin ameliorated MSU crystals induced joint swelling, inhibited IL-1β production, and abated macrophage and neutrophil migration into the joint capsule. Collectively, these results demonstrated that corilagin suppressed the ROS/TXNIP/NLRP3 pathway to repress inflammasome activation and pyroptosis and suggest its potential antioxidative role in alleviating NLRP3-dependent gouty arthritis.
Journal Article
A lightweight cryptographic algorithm incorporating path coloring of cartesian product of graphs
Labeling or coloring the vertices of a graph is called vertex labeling or coloring. The
path coloring of a graph is one on which vertices at distances
and 3 on a path are labeled with a minimum label difference of
and 1 respectively and one such path exists between all pairs of vertices. The
connection number,
, is the minimum value of the greatest integer used in any viable
path coloring of the graph. Finding the
of a graph is highly non-trivial and the primary objective of this work is to determine the
for the Cartesian product of any two graphs. An efficient and computationally simpler cryptographic algorithm is developed by using these concepts in cryptography. This work aims to implement this cryptographic algorithm to support devices with constrained storage and energy capacities. With these ideas, the article attempts to improve the scope of application of graph labeling in cryptographic algorithms. Progressing further, the work evaluates parameters such as key strength, key randomness and security of the encryption algorithm through four statistical tests conducted at a high level of confidence. The tests proved that the proposed method is best suited for applications requiring shorter but stronger keys, compared to the existing graph labeling methods, which are algorithmically complex.
Journal Article
Cardiac repair using regenerating neonatal heart tissue-derived extracellular vesicles
Neonatal mammalian hearts are capable of regenerating by inducing cardiomyocyte proliferation after injury. However, this regenerative capability in adult mammalian hearts almost disappears. Extracellular vesicles (EVs) have been shown to play vital cardioprotective roles in heart repair. Here, we report that EVs from regenerating neonatal heart tissues, after apical resection surgery (AR-Neo-EVs), exhibit stronger pro-proliferative, anti-apoptotic, and pro-angiogenesis activities than EVs from neonatal mouse cardiac tissues (Neo-EVs), effects which are absent in adult mouse heart-derived EVs (Adu-EVs). Proteomic analysis reveals the expression of Wdr75 protein, a regulator of p53, is higher in AR-Neo-EVs than in Neo-EVs. It is shown the regenerative potential of AR-Neo-EVs is abrogated when Wdr75 is knocked down. We further show that delivery of AR-Neo-EVs by sodium alginate hydrogel microspheres is an effective treatment in myocardial infraction. This work shows the potential of using EVs from regenerating tissue to trigger protective and regenerative mechanisms.
Unlike neonatal mammalian hearts, adult hearts have limited regenerative capacity. Here, the authors explore the use of extracellular vesicles collected from neonatal hearts flowing damage, explore the difference in protein expression and delivery potential to trigger myocardial repair.
Journal Article
Nanoscaffolds in promoting regeneration of the peripheral nervous system
The ability to surgically repair peripheral nerve injuries is urgently needed. However, traditional tissue engineering techniques, such as autologous nerve transplantation, have some limitations. Therefore, tissue engineered autologous nerve grafts have become a suitable choice for nerve repair. Novel tissue engineering techniques derived from nanostructured conduits have been shown to be superior to other successful functional neurological structures with different scaffolds in terms of providing the required structures and properties. Additionally, different biomaterials and growth factors have been added to nerve scaffolds to produce unique biological effects that promote nerve regeneration and functional recovery. This review summarizes the application of different nanoscaffolds in peripheral nerve repair and further analyzes how the nanoscaffolds promote peripheral nerve regeneration.
Journal Article
An Experimental Study on the Influence of Drastically Varying Discharge Ratios on Bed Topography and Flow Structure at Urban Channel Confluences
The confluences of rivers are important nodes for energy conversion and material transport in the river network. A slight morphological alteration of the confluences may trigger the “butterfly effect”, which will bring about changes in the ecology and environment of the entire river network. During the transition period of the wet and dry seasons, the variation of discharge ratio will make the originally balanced river bed change again, which will bring a series of follow-up effects. This research mainly studied the features of water flow itself and results showed that the variation of discharge ratio caused secondary erosion of the balanced bed surface and transported the sediment downstream. Thus, the zone of maximum velocity was enlarged and the maximum flow velocity at the equal discharge was reduced, and more intense vortex and turbulence were generated. The lateral velocity, vertical velocity, and turbulent structure were mainly controlled by the quantity and ratio of the discharge, and the varying topography only played a minor role in local areas. Nowadays, some scholars have been studying the combination of flow field features and various environmental substances and biological habitats, and the basic work done in this article has laid the foundation for these studies.
Journal Article