DPP-4 exacerbates LPS-induced endothelial cells inflammation via integrin-α5ß1/FAK/AKT signaling.

Endothelial dysfunction plays a pivotal role in the pathogenesis of acute lung injury (ALI)/acute respiratory distress syndrome (ARDS). Dipeptidyl peptidase IV (DPP-4), a cell surface glycoprotein, has been implicated in endothelial inflammation and barrier dysfunction. In this study, the role of DPP-4 on lipopolysaccharide (LPS)-induced pulmonary microvascular endothelial cells (HPMECs) dysfunction and the underlying mechanism were investigated by siRNA-mediated knockdown of DPP-4. Our results indicated that LPS (1 µg/ml) challenge resulted in either the production and releasing of DPP-4, as well as the secretion of IL-6 and IL-8 in HPMECs. DPP-4 knockdown inhibited chemokine releasing and monolayer hyper-permeability in LPS challenged HPMECs. When cocultured with human polymorphonuclear neutrophils (PMNs), DPP4 knockdown suppressed LPS-induced neutrophil-endothelial adhesion, PMN chemotaxis and trans-endothelial migration. Western blotting showed that DPP-4 knockdown attenuated LPS-induced activation of TLR4/NF-κB pathway. Immunoprecipitation and liquid chromatography-tandem mass spectrometry revealed that DPP-4 mediated LPS-induced endothelial inflammation by interacting with integrin-α5ß1. Moreover, exogenous soluble DPP-4 treatment sufficiently activated integrin-α5ß1 downstream FAK/AKT/NF-κB signaling, thereafter inducing ICAM-1 upregulation in HPMECs. Collectively, our results suggest that endothelia synthesis and release DPP-4 under the stress of endotoxin, which interact with integrin-α5ß1 complex in an autocrine or paracrine manner to exacerbate endothelial inflammation and enhance endothelial cell permeability. Therefore, blocking DDP-4 could be a potential therapeutic strategy to prevent endothelial dysfunction in ALI/ARDS.

Microfluidic Approaches for Microactuators: From Fabrication, Actuation, to Functionalization.

Microactuators can autonomously convert external energy into specific mechanical motions. With the feature sizes varying from the micrometer to millimeter scale, microactuators offer many operation and control possibilities for miniaturized devices. In recent years, advanced microfluidic techniques have revolutionized the fabrication, actuation, and functionalization of microactuators. Microfluidics can not only facilitate fabrication with continuously changing materials but also deliver various signals to stimulate the microactuators as desired, and consequently improve microfluidic chips with multiple functions. Herein, this cross-field that systematically correlates microactuator properties and microfluidic functions is comprehensively reviewed. The fabrication strategies are classified into two types according to the flow state of the microfluids: stop-flow and continuous-flow prototyping. The working mechanism of microactuators in microfluidic chips is discussed in detail. Finally, the applications of microactuator-enriched functional chips, which include tunable imaging devices, micromanipulation tools, micromotors, and microsensors, are summarized. The existing challenges and future perspectives are also discussed. It is believed that with the rapid progress of this cutting-edge field, intelligent microsystems may realize high-throughput manipulation, characterization, and analysis of tiny objects and find broad applications in various fields, such as tissue engineering, micro/nanorobotics, and analytical devices.

Sub-regional phase error compensation based on a probability distribution function and gamma precoding.

In this paper, a phase error compensation method based on a probability distribution function (PDF) is proposed to improve the accuracy of phase extraction, which is helpful for three-dimensional (3D) reconstruction. First, the relationship between the gamma and the gray values is established to segment the projection regions. Then a new method based on a PDF is designed to represent the variation degree of phase error, which fits the precoded gamma value in the minimum range of the phase error. After that, the error compensation method is applied to the self-built system and packaged independently from the 3D reconstruction system to unwrap phases with high precision. The experimental results show that the proposed method can reduce the standard deviation of the phase error by 46.9% compared without phase error compensation, and decrease the standard deviation of the phase error by 30% compared with the whole precoding. Generally, our method can effectively avoid overcompensation or under-compensation caused by single global gamma precoding correction, and better reduce the phase error and improve the 3D reconstruction accuracy in the fringe projection system.

Generic Orbital Design of Higher-Order Topological Quasicrystalline Insulators with Odd Five-Fold Rotation Symmetry.

In addition to crystals, topological phases in quasicrystals and disorder systems have drawn increasing attention lately. Here, we propose a generic double band-inversion mechanism underlying the higher-order topological phase in quasicrystals, that is.,"higher-order topological quasicrystalline insulator" (HOTQI), which exploits local atomic orbital and lattice symmetries. It is generally applicable to both quasicrystals and crystals with either odd-rotational (OR) or even-rotational symmetry (ERS), different from previous HOTI mechanisms whose applicability is limited by symmetry types. The HOTQI is characterized by topological corner states at the nonordinary corners of pentagonal (octagonal) samples of five-fold (eight-fold) quasicrystals, which violate the translational invariance and ordinary crystalline symmetries. The role of quasicrystalline symmetry, the robustness against symmetry breaking, and possible experimental realizations are discussed. Our findings not only provide a concrete example of HOTQIs that is incompatible with classical crystallographic symmetry but also offer useful guidance to the search of higher-order topological materials and metamaterials.

Low serum Maresin-1 levels are associated with non-alcoholic fatty liver disease: a cross-sectional study.

BACKGROUND: Maresin-1 (MaR1) is an anti-inflammatory pro-resolving mediator and is considered a potential regulator of metabolic diseases. Non-alcoholic fatty liver disease (NAFLD) is a very common metabolic liver disease. However, little information is available on the relationship between MaR1 and NAFLD in humans. Therefore, the study explored the association between serum MaR1 levels and NAFLD. METHODS: A cross-sectional study was conducted in 240 Chinese people, including 116 non-NAFLD subjects and 124 NAFLD patients. Serum MaR1 levels were determined by enzyme-linked immunosorbent assay (ELISA). The association between MaR1 and NAFLD was assessed. RESULTS: Circulating MaR1 levels in NAFLD patients were markedly lower than those in non-NAFLD subjects (63.63 [59.87-73.93] vs 73.11 [65.12-84.50] pg/mL, P = 0.000). The percentages of patients with NAFLD gradually decreased with the increase of MaR1 quartiles (P < 0.001). Furthermore, serum MaR1 levels were positively associated with aspartate aminotransferase/alanine aminotransferase (AST/ALT), albumin, the albumin-globulin-ratio, and high-density lipoprotein cholesterol (HDL-C) (all P < 0.05) and negatively associated with body mass index (BMI), waist circumference, hip circumference, the waist-to-hip ratio, ALT, gamma-glutamyl transpeptidase (GGT), uric acid, triglyceride (TG), and fasting blood glucose (FBG) (all P < 0.05) after adjusting for sex and age. Binary logistic regression analysis revealed that serum MaR1 levels were significantly associated with NAFLD. CONCLUSIONS: Circulating MaR1 levels were decreased in patients with NAFLD, and a negative correlation was identified between NAFLD and serum MaR1 concentrations. Decreased MaR1 might be involved in the development of NAFLD.

Assessment of 2-allyl-4,5-dimethoxyphenol safety and attractiveness to mature males of Bactrocera dorsalis (Hendel).

Males of the Oriental fruit fly Bactrocera dorsalis (Hendel) are highly attracted to, and compulsively feed, on methyl eugenol (ME). ME is converted into 2-allyl-4,5-dimethoxyphenol (DMP) and (E)-coniferyl alcohol (E-CF), which are temporarily sequestered in the fly's rectal gland prior to being released at dusk. Previous research initially confirmed that DMP is a relatively strong lure to B. dorsalis males. However, the characteristics of males' response to DMP and toxicology of DMP remains largely unclear. In our study, we demonstrated that DMP was more attractive to sexually mature males than E-CF tested in laboratory bioassays. Interestingly, the responsiveness of mature males to DMP was not uniform throughout the day, eliciting the highest response during the day and dropping to a low level at night. Furthermore, there were no significant differences between the olfactory responses of virgin and mated mature males to DMP. No obvious signs of toxic symptom and deaths were observed in mice during a 14-day acute oral toxicity testing. Further, toxicologically significant changes were not observed in body weight, water intake, food consumption, and absolute and relative organ weights between control and treated groups, implying DMP could be regarded as nontoxic. Lastly, the cytotoxicity data of DMP on cells showed that it exhibited no significant cytotoxicity to normal human and mouse cells. Taken together, results from both the acute and cellular toxicity experiments demonstrated the nontoxic nature of DMP. In conclusion, DMP shows promise as an effective and eco-friendly lure for B. dorsalis males, and may contribute to controlling B. dorsalis in the flied.

Exploration of Human Activity Recognition Using a Single Sensor for Stroke Survivors and Able-Bodied People.

Commonly used sensors like accelerometers, gyroscopes, surface electromyography sensors, etc., which provide a convenient and practical solution for human activity recognition (HAR), have gained extensive attention. However, which kind of sensor can provide adequate information in achieving a satisfactory performance, or whether the position of a single sensor would play a significant effect on the performance in HAR are sparsely studied. In this paper, a comparative study to fully investigate the performance of the aforementioned sensors for classifying four activities (walking, tooth brushing, face washing, drinking) is explored. Sensors are spatially distributed over the human body, and subjects are categorized into three groups (able-bodied people, stroke survivors, and the union of both). Performances of using accelerometer, gyroscope, sEMG, and their combination in each group are evaluated by adopting the Support Vector Machine classifier with the Leave-One-Subject-Out Cross-Validation technique, and the optimal sensor position for each kind of sensor is presented based on the accuracy. Experimental results show that using the accelerometer could obtain the best performance in each group. The highest accuracy of HAR involving stroke survivors was 95.84 ± 1.75% (mean ± standard error), achieved by the accelerometer attached to the extensor carpi ulnaris. Furthermore, taking the practical application of HAR into consideration, a novel approach to distinguish various activities of stroke survivors based on a pre-trained HAR model built on healthy subjects is proposed, the highest accuracy of which is 77.89 ± 4.81% (mean ± standard error) with the accelerometer attached to the extensor carpi ulnaris.

Long-term results of variceal bleeding management in 302 patients with chronic extrahepatic portal vein obstruction.

BACKGROUND AND AIM: Treatment modalities of variceal bleeding or rebleeding for extrahepatic portal vein obstruction (EHPVO) are limited, and their long-term results and prognostic factors are unclear. This study aimed at assessing the long-term results of EHPVO treated with current recommendations and investigating the influencing factors. METHODS: Between 2009 and 2016, 302 consecutive patients with EHPVO were included. Watch-and-wait policy was applied for those with no (n = 59) or small varices (n = 55), nonselective beta-adrenergic blocker and nonselective beta-adrenergic blocker plus endotherapy were for primary (n = 115) and secondary prophylaxis (n = 87), transjugular intrahepatic portosystemic shunt (TIPS) or combination therapy was for those with recurrent bleeding (n = 92). RESULTS: The median follow up was 58.8 months. The 1-, 3-, and 5-year cumulative rates were 3.6%, 19.2%, 32.3% for small varices development and 4.5%, 30.9%, 53.4% for large varices development. The 1-, 3-, and 5-year cumulative rates were 11.1%, 20.9%, and 34.9% for first variceal bleeding and 16.0%, 26.9%, and 33.6% for variceal rebleeding. For those with recurrent variceal bleeding, only TIPS (n = 37, technical success rate: 90.2%) was associated with a reduced risk of variceal rebleeding (1-, 3-, and 5-year: 5.6%, 11.7%, and 21.9%). The 1-, 3-, and 5-year survival rates were 96.9%, 95.8%, and 91.9%. Prothrombotic factors and anticoagulation did not influence the risk of variceal bleeding, rebleeding, and survival. CONCLUSIONS: By applying the same variceal management as recommended for patients with liver cirrhosis, patients with non-cirrhotic EHPVO showed a similar development of varices and variceal bleeding. This is also true for the beneficial effect of TIPS to prevent rebleeding.

Prevalence of prothrombotic factors in patients with Budd-Chiari syndrome or non-cirrhotic nonmalignant portal vein thrombosis: A hospital-based observational study.

BACKGROUND AND AIM: Comprehensive investigations on the prothrombotic factors of splanchnic vein thrombosis (SVT), including Budd-Chiari syndrome (BCS) and non-cirrhotic nonmalignant portal vein thrombosis (PVT), in Eastern patients are scarce. METHODS: Between March 2012 and July 2017, 812 consecutive patients, including 418 BCS and 394 non-cirrhotic nonmalignant PVT patients, were admitted to Xijing Hospital (a Chinese tertiary academic hospital) and screened for prothrombotic factors. Odds ratios (ORs), 95% confidence intervals (CIs), and P-trends were calculated by using conditional logistic regression. RESULTS: The prevalence of myeloproliferative neoplasms (MPNs) was only 6.3% among BCS patients but 28.3% among PVT patients. Notably, the presence of MPNs was associated with a higher risk of hepatic vein-type BCS (OR 9.9, 95% CI 3.6-26.7, P-trend < 0.001) and extensive thrombosis in PVT (OR 4.1, 95% CI 1.9-8.9, P-trend < 0.001). Calreticulin mutations existed in 2.7% of SVT patients. Furthermore, the prevalence of antiphospholipid antibody syndrome and protein C, protein S, or antithrombin deficiency in BCS patients was 7.3% and 22.5%, respectively, similar to that in patients with PVT (7.4% and 25.7%). In addition, factor V Leiden mutation, prothrombin G20210A mutation, and paroxysmal nocturnal hemoglobinuria were identified in < 1% of both BCS and PVT patients. CONCLUSION: There is a significant positive association between MPNs and hepatic vein-type BCS or non-cirrhotic nonmalignant PVT with extensive thrombosis. Additionally, calreticulin mutations should be tested in JAK2V617F -negative SVT patients in China. However, screening for factor V Leiden mutation, prothrombin G20210A mutation, and paroxysmal nocturnal hemoglobinuria may be unnecessary.

Retinoid X Receptor α-Dependent HBV Minichromosome Remodeling and Viral Replication.

BACKGROUND AND AIM: The HBV covalently closed circular DNA (cccDNA) is organized into a minichromosome in the nuclei of infected hepatocytes through interactions with histone and nonhistone proteins. Retinoid X receptor α (RXRα), a liver-enriched nuclear receptor, participates in regulation of HBV replication and transcription through modulation of HBV enhancer 1 and core promoter activity. MATERIAL AND METHODS: This study investigated RXRα involvement in HBV cccDNA epigenetic modifications. Quantitative cccDNA chromatin immunoprecipitation (ChIP) was applied to study the recruitment of RXRα, histones, and chromatin-modifying enzymes to HBV minichromosome in HepG2 cells after transfection of the linear HBV genome. RESULTS: RXRα Was found to directly bind to HBV cccDNA; recruitment of RXRα to HBV mini-chromosome paralleled HBV replication, histone recruitment, and histone acetylation in HBVcccDNA. Moreover, RXRα overexpression or knock-down significantly increased or impaired the recruitment of the p300 acetyltransferase to cccDNAminichromosome. CONCLUSIONS: Our results confirmed the regulation of RXRα on HBV replication in vitro and demonstrated the modulation of RXRα on HBV cccDNA epigenetics. These findings provide a profound theoretical and experimental basis for late-model antiviral treatment acting on the HBV cccDNA and minichromosome.

Association of HLA-DQ and IFNL4 polymorphisms with susceptibility to hepatitis B virus infection and clearance.

UNLABELLED:  Background and aim. Leukocyte antigen DQ (HLA-DQ) and interferon-λ4 (IFNL4) gene polymorphisms were associated with susceptibility to chronic hepatitis B and C virus infection. This study further confirmed that variants of these genes were associated with susceptibility and spontaneous clearance of HBV infection in a Chinese population. MATERIAL AND METHODS: A total of 1,069 subjects were recruited and divided into three groups i.e. 397 with CLD (HBV-related chronic liver disease), 434 with SC (spontaneous clearance), and 238 HC (healthy controls). HLA-DQrs9275319 and IFNL4rs368234815, rs12971396, rs12979860, and rs8099917SNPs were genotyped using the Sequenom MassARRAY MALDI-TOF system. RESULTS: HLA-DQ rs9275319 showed a significant association with HBV infection (allele model, OR, 0.514; 95% CI, 0.359-0.738, adjusted p = 0.0003) and with natural clearance (allele model, OR, 1.659; 95% CI, 1.197-2.300, adjusted. However, there was no association between IFNL4 polymorphism and HBV susceptibility or natural clearance (all p > 0.05). The multifactor dimensionality reduction (MDR) test with permutation correction showed that a three-way interaction between IFNL4 and HLA-DQ SNPs was identified for HBV susceptibility (permutation p = 0.009 for the best factor model) and clearance (permutation p = 0.014 for the best factor model). CONCLUSIONS: The data from the current study provided additional evidence for an SNP-SNP interaction between HLA-DQ and IFNL4 in regulation to HBV infection and natural clearance.

Towards Efficient Neural Decoder for Dexterous Finger Force Predictions.

OBJECTIVE: Dexterous control of robot hands requires a robust neural-machine interface capable of accurately decoding multiple finger movements. Existing studies primarily focus on single-finger movement or rely heavily on multi-finger data for decoder training, which requires large datasets and high computation demand. In this study, we investigated the feasibility of using limited single-finger surface electromyogram (sEMG) data to train a neural decoder capable of predicting the forces of unseen multi-finger combinations. METHODS: We developed a deep forest-based neural decoder to concurrently predict the extension and flexion forces of three fingers (index, middle, and ring-pinky). We trained the model using varying amounts of high-density EMG data in a limited condition (i.e., single-finger data). RESULTS: We showed that the deep forest decoder could achieve consistently commendable performance with 7.0% of force prediction errors and R2 value of 0.874, significantly surpassing the conventional EMG amplitude method and convolutional neural network approach. However, the deep forest decoder accuracy degraded when a smaller amount of data was used for training and when the testing data became noisy. CONCLUSION: The deep forest decoder shows accurate performance in multi-finger force prediction tasks. The efficiency aspect of the deep forest lies in the short training time and small volume of training data, which are two critical factors in current neural decoding applications. SIGNIFICANCE: This study offers insights into efficient and accurate neural decoder training for advanced robotic hand control, which has the potential for real-life applications during human-machine interactions.

Decomposing Task-Relevant Information From Surface Electromyogram for User-Generic Dexterous Finger Force Decoding.

Existing electromyographic (EMG) based motor intent detection algorithms are typically user-specific, and a generic model that can quickly adapt to new users is highly desirable. However, establishing such a model remains a challenge due to high inter-person variability and external interference with EMG signals. In this study, we present a feature disentanglement approach, implemented by an autoencoder-like architecture, designed to decompose user-invariant, motor-task-sensitive high-level representations from user-sensitive, task-irrelevant representations in EMG amplitude features. Our method is user-generic and can be applied to unseen users for continuous multi-finger force predictions. We evaluated our approach on eight subjects, predicting the force of three fingers (index, middle, and ring-pinky) concurrently. We assessed the decoder's performance through a rigorous leave-one-subject-out validation. Our developed approach consistently outperformed both the conventional EMG amplitude method and a commonly used feature projection approach, principal component analysis (PCA), with a lower force prediction error (RMSE: 6.91 ± 0.45 % MVC; R2: 0.835 ± 0.026) and a higher finger classification accuracy (83.0 ± 4.5%). The comparison with the state-of-the-art neural networks further demonstrated the superior performance of our method in user-generic force predictions. Overall, our methods provide novel insights into the development of user-generic and accurate neural decoding for myoelectric control of assistive robotic hands.

A Robust Gaze Estimation Approach via Exploring Relevant Electrooculogram Features and Optimal Electrodes Placements.

Gaze estimation, as a technique that reflects individual attention, can be used for disability assistance and assisting physicians in diagnosing diseases such as autism spectrum disorder (ASD), Parkinson's disease, and attention deficit hyperactivity disorder (ADHD). Various techniques have been proposed for gaze estimation and achieved high resolution. Among these approaches, electrooculography (EOG)-based gaze estimation, as an economical and effective method, offers a promising solution for practical applications. OBJECTIVE: In this paper, we systematically investigated the possible EOG electrode locations which are spatially distributed around the orbital cavity. Afterward, quantities of informative features to characterize physiological information of eye movement from the temporal-spectral domain are extracted from the seven differential channels. METHODS AND PROCEDURES: To select the optimum channels and relevant features, and eliminate irrelevant information, a heuristical search algorithm (i.e., forward stepwise strategy) is applied. Subsequently, a comparative analysis of the impacts of electrode placement and feature contributions on gaze estimation is evaluated via 6 classic models with 18 subjects. RESULTS: Experimental results showed that the promising performance was achieved both in the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) within a wide gaze that ranges from -50° to +50°. The MAE and RMSE can be improved to 2.80° and 3.74° ultimately, while only using 10 features extracted from 2 channels. Compared with the prevailing EOG-based techniques, the performance improvement of MAE and RMSE range from 0.70° to 5.48° and 0.66° to 5.42°, respectively. CONCLUSION: We proposed a robust EOG-based gaze estimation approach by systematically investigating the optimal channel/feature combination. The experimental results indicated not only the superiority of the proposed approach but also its potential for clinical application. Clinical and translational impact statement: Accurate gaze estimation is a key step for assisting disabilities and accurate diagnosis of various diseases including ASD, Parkinson's disease, and ADHD. The proposed approach can accurately estimate the points of gaze via EOG signals, and thus has the potential for various related medical applications.

NLRP3 inflammasome mediates abnormal epithelial regeneration and distal lung remodeling in silica­induced lung fibrosis.

NOD-like receptor protein 3 (NLRP3) inflammasome is closely related to silica particle­induced chronic lung inflammation but its role in epithelial remodeling, repair and regeneration in the distal lung during development of silicosis remains to be elucidated. The present study aimed to determine the effects of the NLRP3 inflammasome on epithelial remodeling and cellular regeneration and potential mechanisms in the distal lung of silica­treated mice at three time points. Pulmonary function assessment, inflammatory cell counting, enzyme­linked immunosorbent assay, histological and immunological analyses, hydroxyproline assay and western blotting were used in the study. Single intratracheal instillation of a silica suspension caused sustained NLRP3 inflammasome activation in the distal lung. Moreover, a time­dependent increase in airway resistance and a decrease in lung compliance accompanied progression of pulmonary fibrosis. In the terminal bronchiole, lung remodeling including pyroptosis (membrane­distributed GSDMD+), excessive proliferation (Ki67+), mucus overproduction (mucin 5 subtype AC and B) and epithelial­mesenchymal transition (decreased E­Cadherin+ and increased Vimentin+), was observed by immunofluorescence analysis. Notably, aberrant spatiotemporal expression of the embryonic lung stem/progenitor cell markers SOX2 and SOX9 and ectopic distribution of bronchioalveolar stem cells were observed in the distal lung only on the 7th day after silica instillation (the early inflammatory phase of silicosis). Western blotting revealed that the Sonic hedgehog/Glioma­associated oncogene (Shh/Gli) and Wnt/ß­catenin pathways were involved in NLRP3 inflammasome activation­mediated epithelial remodeling and dysregulated regeneration during the inflammatory and fibrotic phases. Overall, sustained NLRP3 inflammasome activation led to epithelial remodeling in the distal lung of mice. Moreover, understanding the spatiotemporal profile of dysregulated epithelial repair and regeneration may provide a novel therapeutic strategy for inhalable particle­related chronic inflammatory and fibrotic lung disease.

Gallnut tannic acid alleviates gut damage induced by Salmonella pullorum in broilers by enhancing barrier function and modulating microbiota.

Pullorum disease (PD) is a bacterial infection caused by Salmonella pullorum (S. pullorum) that affects poultry. It is highly infectious and often fatal. Antibiotics are currently the mainstay of prophylactic and therapeutic treatments for PD, but their use can lead to the development of resistance in pathogenic bacteria and disruption of the host's intestinal flora. We added neomycin sulfate and different doses of tannic acid (TA) to the drinking water of chicks at 3 days of age and infected them with PD by intraperitoneal injection of S. pullorum at 9 days of age. We analyzed intestinal histopathological changes and the expression of immune-related genes and proteins by using the plate smear method, histological staining, real-time fluorescence quantitative PCR, ELISA kits, and 16S rRNA Analysis of intestinal flora. The results demonstrate that S. pullorum induces alterations in the immune status and impairs the functionality of the liver and intestinal barrier. We found that tannic acid significantly ameliorated S. pullorum-induced liver and intestinal damage, protected the intestinal physical and chemical barriers, restored the intestinal immune barrier function, and regulated the intestinal flora. Our results showed that TA has good anti-diarrhoeal, growth-promoting, immune-regulating, intestinal barrier-protecting and intestinal flora-balancing effects, and the best effect was achieved at an additive dose of 0.2%.

Isolation, purification, and structural characterization of polysaccharides from Codonopsis pilosula and its therapeutic effects on non-alcoholic fatty liver disease in vitro and in vivo.

Codonopsis pilosula is a famous edible and medicinal plants, in which polysaccharides are recognized as one of the important active ingredients. A neutral polysaccharide (CPP-1) was purified from C. pilosula. The structure was characterized by HPSEC-MALLS-RID, UV, FT-IR, GC-MS, methylation analysis, and NMR. The results showed that CPP-1 was a homogeneous pure polysaccharide, mainly containing fructose and glucose, and a small amount of arabinose. Methylation analysis showed that CPP-1 composed of →1)-Fruf-(2→, Fruf-(1→ and Glcp-(1→ residues. Combined the NMR results the structure of CPP-1 was confirmed as α-D-Glcp-(1 â†’ [2)-ß-D-Fruf-(1 â†’ 2)-ß-D-Fruf-(1]26 â†’ 2)-ß-D-Fruf with the molecular weight of 4.890 × 103 Da. The model of AML12 hepatocyte fat damage was established in vitro. The results showed that CPP-1 could increase the activity of SOD and CAT antioxidant enzymes and reduce the content of MDA, thus protecting cells from oxidative damage. Subsequently, the liver protective effect of CPP-1 was studied in the mouse model of nonalcoholic fatty liver disease (NAFLD) induced by the high-fat diet. The results showed that CPP-1 significantly reduced the body weight, liver index, and body fat index of NAFLD mice, and significantly improved liver function. Therefore, CPP-1 should be a potential candidate for the treatment of NAFLD.

Concurrent Prediction of Dexterous Finger Flexion and Extension Force via Deep Forest.

Neuromuscular injuries can impair hand function and profoundly impacting the quality of life. This has motivated the development of advanced assistive robotic hands. However, the current neural decoder systems are limited in their ability to provide dexterous control of these robotic hands. In this study, we propose a novel method for predicting the extension and flexion force of three individual fingers concurrently using high-density electromyogram (HD-EMG) signals. Our method employs two deep forest models, the flexor decoder and the extensor decoder, to extract relevant representations from the EMG amplitude features. The outputs of the two decoders are integrated through linear regression to predict the forces of the three fingers. The proposed method was evaluated on data from three subjects and the results showed that it consistently outperforms the conventional EMG amplitude-based approach in terms of prediction error and robustness across both target and non-target fingers. This work presents a promising neural decoding approach for intuitive and dexterous control of the fingertip forces of assistive robotic hands.

Robust neural decoding for dexterous control of robotic hand kinematics.

BACKGROUND: Manual dexterity is a fundamental motor skill that allows us to perform complex daily tasks. Neuromuscular injuries, however, can lead to the loss of hand dexterity. Although numerous advanced assistive robotic hands have been developed, we still lack dexterous and continuous control of multiple degrees of freedom in real-time. In this study, we developed an efficient and robust neural decoding approach that can continuously decode intended finger dynamic movements for real-time control of a prosthetic hand. METHODS: High-density electromyogram (HD-EMG) signals were obtained from the extrinsic finger flexor and extensor muscles, while participants performed either single-finger or multi-finger flexion-extension movements. We implemented a deep learning-based neural network approach to learn the mapping from HD-EMG features to finger-specific population motoneuron firing frequency (i.e., neural-drive signals). The neural-drive signals reflected motor commands specific to individual fingers. The predicted neural-drive signals were then used to continuously control the fingers (index, middle, and ring) of a prosthetic hand in real-time. RESULTS: Our developed neural-drive decoder could consistently and accurately predict joint angles with significantly lower prediction errors across single-finger and multi-finger tasks, compared with a deep learning model directly trained on finger force signals and the conventional EMG-amplitude estimate. The decoder performance was stable over time and was robust to variations of the EMG signals. The decoder also demonstrated a substantially better finger separation with minimal predicted error of joint angle in the unintended fingers. CONCLUSIONS: This neural decoding technique offers a novel and efficient neural-machine interface that can consistently predict robotic finger kinematics with high accuracy, which can enable dexterous control of assistive robotic hands.