Background: This study aimed to investigate the effect of long noncoding ribonucleic acids (RNAs) metastasis-associated lung adenocarcinoma transcript 1 (lnc-MALAT1) on regulating neuron apoptosis, neurite outgrowth and inflammation, and further explore its molecule mechanism in Alzheimer’s disease (AD). Methods: Control overexpression, lnc-MALAT1 overexpression, control shRNA, and lnc-MALAT1 shRNA were transfected into NGF-stimulated PC12 cellular AD model and cellular AD model from primary cerebral cortex neurons of rat embryo, which were established by Aβ1-42 insult. Rescue experiments were performed by transferring lnc-MALAT1 overexpression and lnc-MALAT1 overexpression & miR-125b overexpression plasmids. Neuron apoptosis, neurite outgrowth and inflammation were detected by Hoechst-PI/apoptosis marker expressions, and observations were made using microscope and RT-qPCR/Western blot assays. PTGS2, CDK5 and FOXQ1 expressions in rescue experiments were also determined. Results: In two AD models, lnc-MALAT1 overexpression inhibited neuron apoptosis, promoted neurite outgrowth, reduced IL-6 and TNF-α levels, and increased IL-10 level compared to control overexpression, while lnc-MALAT1 knockdown promoted neuron apoptosis, repressed neurite outgrowth, elevated IL-6 and TNF-α levels, but reduced IL-10 level compared to control shRNA. Additionally, lnc- MALAT1 reversely regulated miR-125b expression, while miR-125b did not influence the lnc- MALAT1 expression. Subsequently, rescue experiments revealed that miR-125b induced neuron apoptosis, inhibited neurite outgrowth and promoted inflammation, also increased PTGS2 and CDK5 expressions but decreased FOXQ1 expression in lnc-MALAT1 overexpression treated AD models. Conclusion: Lnc-MALAT1 might interact with miR-125b to inhibit neuron apoptosis and inflammation while promote neurite outgrowth in AD.

The Internet of Things (IoT) has a significant effect on the development of manufacturing technology. Therefore, according to the analysis of the challenges and opportunities faced by manufacturing industry, this study uses the assembly process of mechanical products as the research object and analyzes the characteristics of IoT-based manufacturing systems. To improve the interconnection, perception, efficiency, and intelligence of the assembly system, this study proposes the concept of IoT-enabled intelligent assembly system for mechanical products (IIASMP). The IIASMP framework, which is based on advanced techniques such as information and communication technology, sensor network, and radio-frequency identification, is then presented. Key technologies under this framework, including assembly resources identification, information interaction technology, multi-source data perception and fusion, intelligent assembly agent, and value-added data and dynamic self-adaptive optimization, are described. Finally, the current results of IIASMP are described in the case study. The proposed framework and methods aims to have an important reference value for applying the key technologies and be used widely in the intelligent manufacturing field.

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1. Cytochrome P450 2D (CYP2D) protein is widely expressed across brain regions in human and rodents. We investigated the interactions between tramadol, a clinically used analgesic, and brain CYP2D regulators, by establishing concentration-time curves of tramadol and O-desmethyltramadol (M1) in rat cerebrospinal fluid (CSF) and plasma, as well as by analyzing the analgesia-time course of tramadol. 2. Propranolol (20 μg, intracerebroventricular injection), CYP2D inhibitor, prolonged the elimination t1/2 of tramadol (40 mg/kg, intraperitoneal injection) in the CSF; meanwhile, lower Cmax and AUC0-∞ values of M1 were observed. Nicotine (1 mg base/kg, subcutaneous injection, seven days), brain CYP2D inducer, induced a shorter Tmax and elevated Cmax of M1 in CSF. No differences in the peripheral metabolism of tramadol were observed following propranolol and nicotine pretreatment. Nicotine increased areas under the analgesia-time curve (AUC) for 0-45 min and 0-90 min of tramadol, which was attenuated by propranolol administration. The analgesic actions of tramadol positively correlated with cerebral M1 concentration. 3. The results suggest that the regulation of brain CYP2D by xenobiotics may cause drug-drug interactions (DDIs) of tramadol. Brain CYPs may play an important role in DDIs of centrally active substances.