工业工程最新文献

Voltage-gated ion channels (VGICs) are central to cellular excitation, orchestrating skeletal and cardiac muscle contractions and enabling neural signal transduction. Among these, voltage-gated potassium (Kv) channels are particularly significant in cardiac electrophysiology, especially during the repolarization phase of the cardiac action potential. In cardiac myocytes, Kv channels are integral to a multitude of sophisticated functions, including electrical conduction. Despite their importance, research on Kv channels in the context of cardiovascular diseases is limited. This review offers a comprehensive summary of the structural complexities of Kv channels, delineating the regulatory mechanisms involved in channel gating, expression, and membrane localization. Additionally, we examine the role of different Kv α-subunits in modulating Kv channels and their impact on cardiac remodeling, and assess the potential of targeting Kv channels for the development of anti-arrhythmic therapies.

The aim of this study was to investigate the effects of exogenous erythropoietin (EPO) on intermittent hypoxia (IH)-induced neuronal injury and the underlying mechanism. Mouse hippocampal neuron HT22 cells were exposed to IH for different durations (1% O₂ for 7 min/21% O₂ for 3 min, one cycle for 10 min). Cell viability was detected by CCK-8. EPO content in the supernatant of cell culture medium was detected by ELISA kit, and the protein expression was detected by Western blot. EPO receptor (EPOR) protein expression was detected by immunofluorescence staining and Western blot. Cellular apoptosis and mitochondrial membrane potential were detected by the corresponding kits. Reactive oxygen species (ROS) level was detected by DCFH probe, and expression levels of JAK2-STAT5 signaling pathway-related proteins were detected by Western blot. The results showed that IH exposure significantly decreased HT22 cell activity. EPO and EPOR protein expressions were significantly up-regulated at 12 h of IH exposure, but down-regulated at 24 and 48 h. In IH-treated HT22 cells, exogenous EPO significantly increased cell activity and mitochondrial membrane potential, decreased ROS levels and cell apoptosis, up-regulated Nrf-2 and heme oxygenase 1 (HO-1) protein expression levels, decreased Cleaved-Caspase-3/Caspase-3 and Bax/Bcl-2 ratios, and promoted the phosphorylation of JAK2-STAT5 pathway-related proteins. Whereas JAK2 and STAT5 blockers both reversed these neuronal protective effects of EPO. These results suggest exogenous EPO inhibits IH-induced oxidative stress and apoptosis by activating the JAK2-STAT5 signaling pathway, thus exerting a neuronal protective effect.

Ischemic stroke is an acute cerebrovascular disease caused by cerebral vascular obstruction, which is the third leading cause of human death and disability. Multiple studies have demonstrated that autophagy plays a positive role in neurons after ischemic stroke. Autophagy is the main intracellular mechanism that mediates the degradation and recycling of various substrates in lysosomes, so it is very important to maintain normal function of lysosomes. However, cerebral ischemia can result in significant impairment of lysosomal function, subsequently leading to disruption in autophagy flow and exacerbation of neuronal injury. This review elucidates the mechanism of autophagic flux injury resulting from lysosomal dysfunction induced by impaired fusion between autophagosomes and lysosomes, alterations in the acidic environment within lysosomes, and diminished biosynthesis of lysosomes following ischemic stroke. The lysosome is regarded as the primary focal point for investigating the mechanism of autophagic flux injury, with the aim of modulating neuronal autophagic flux to improve cerebral ischemia-induced brain injury. This approach holds potential for exerting a neuroprotective effect and providing a novel avenue for stroke treatment.

The kynurenine pathway (KP) is the main metabolic pathway of tryptophan in the diet. Existing research has shown that KP plays a key role in the pathogenesis of various diseases. It has been demonstrated that kynurenine metabolic enzymes, such as indoleamine 2,3-dioxygenase (IDO) and kynurenine monooxygenase (KMO), are involved in various types of pain, particularly the occurrence and development of neuropathic pain. This article reviewed the role of KP, metabolites and enzymes, as well as the analgesic effects and mechanisms of KP in neuropathic pain, providing reference for the application of KP in the basic research and clinical treatment of neuropathic pain.

Existing classification methods for myositis ultrasound images have problems of poor classification performance or high computational cost. Motivated by this difficulty, a lightweight neural network based on a soft threshold attention mechanism is proposed to cater for a better IIMs classification. The proposed network was constructed by alternately using depthwise separable convolution (DSC) and conventional convolution (CConv). Moreover, a soft threshold attention mechanism was leveraged to enhance the extraction capabilities of key features. Compared with the current dual-branch feature fusion myositis classification network with the highest classification accuracy, the classification accuracy of the network proposed in this paper increased by 5.9%, reaching 96.1%, and its computational complexity was only 0.25% of the existing method. The obtained results support that the proposed method can provide physicians with more accurate classification results at a lower computational cost, thereby greatly assisting them in their clinical diagnosis.

To assist grassroots sonographers in accurately and rapidly detecting intussusception lesions from children's abdominal ultrasound images, this paper proposes an improved YOLOv8n children's intussusception detection algorithm, called EMC-YOLOv8n. Firstly, the EfficientViT network with a cascaded group attention module was used as the backbone network to enhance the speed of target detection. Secondly, the improved C2fMBC module was used to replace the C2f module in the neck network to reduce network complexity, and the coordinate attention (CA) module was introduced after each C2fMBC module to enhance attention to positional information. Finally, experiments were conducted on the self-built dataset of intussusception in children. The results showed that the recall rate, average detection accuracy (mAP@0.5) and precision of the EMC-YOLOv8n algorithm improved by 3.9%, 2.1% and 0.9%, respectively, compared to the baseline algorithm. Despite slightly increased network parameters and computational load, significant improvements in detection accuracy enable efficient completion of detection tasks, demonstrating substantial economic and social value.

Microbial cell factories (MCFs) are extensively used to produce a wide array of bioproducts, such as bioenergy, biochemical, food, nutrients, and pharmaceuticals, and have been regarded as the "chips" of biomanufacturing that will fuel the emerging bioeconomy era. Biotechnology advances have led to the screening, investigation, and engineering of an increasing number of microorganisms as diverse MCFs, which are the workhorses of biomanufacturing and help develop the bioeconomy. This review briefly summarizes the progress and strategies in the development of robust and efficient MCFs for sustainable and economic biomanufacturing. First, a comprehensive understanding of microbial chassis cells, including accurate genome sequences and corresponding annotations; metabolic and regulatory networks governing substances, energy, physiology, and information; and their similarity and uniqueness compared with those of other microorganisms, is needed. Moreover, the development and application of effective and efficient tools is crucial for engineering both model and nonmodel microbial chassis cells into efficient MCFs, including the identification and characterization of biological parts, as well as the design, synthesis, assembly, editing, and regulation of genes, circuits, and pathways. This review also highlights the necessity of integrating automation and artificial intelligence (AI) with biotechnology to facilitate the development of future customized artificial synthetic MCFs to expedite the industrialization process of biomanufacturing and the bioeconomy.