Publications by authors named "Jiang Wang"

899 Publications

SAMHD1 associates with inflammation and vasculitis in paediatric-onset systemic lupus erythematosus.

Clin Exp Rheumatol 2022 May 10. Epub 2022 May 10.

Department of Rheumatology, National Centre for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China.

Objectives: In this study, we aimed to explore the expression of the Aicardi-Goutières syndrome (AGS) mutant gene SAMHD1 in paediatric-onset systemic lupus erythematosus (pSLE), its correlations with clinical and laboratory parameters, and the relationship between its expression and the type 1 interferon (IFN) signalling pathway.

Methods: Peripheral blood from 98 pSLE patients and 44 gender and age-matched healthy individuals were examined. Gene expression levels of SAMDH1 and interferon-stimulated genes (ISGs; MxA, IRF3 and IRF7) were evaluated using real-time RT-PCR assays.

Results: SAMHD1 levels in pSLE patients were significantly increased compared to those in healthy donors (p<0.001). SAMHD1 was associated with serum ferritin (r=0.221, p=0.042) in pSLE patients. SAMHD1 levels were significantly increased (p<0.05) in pSLE patients with butterfly erythema, alopecia, and photosensitivity. SAMHD1 was positively correlated with MxA, IRF3 and IRF7 levels, indicating that SAMHD1 was associated with the type 1 IFN signalling pathway.

Conclusions: SAMHD1 was significantly increased and correlated with MxA, IRF3 and IRF7 in pSLE patients.
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http://dx.doi.org/10.55563/clinexprheumatol/4k3gauDOI Listing
May 2022

Inosine and D-Mannose Secreted by Drug-Resistant Affect Viability of Lung Epithelial Cells.

Molecules 2022 May 6;27(9). Epub 2022 May 6.

College of Pulmonary and Critical Care Medicine, Chinese People's Liberation Army General Hospital, Beijing 100853, China.

The antibiotic resistance rates of have been steadily increasing in recent years. Nevertheless, the metabolic features of the drug-resistant and its associated benefits for bacterial pathogenicity are far from expounded. This study aims to unravel the unique physiological and metabolic properties specific to drug-resistant . Using scanning electron microscopy (SEM), we observed a thicker extracellular mucus layer around a drug-resistant strain (Kp-R) than a drug-sensitive strain (Kp-S). Kp-R also produced more capsular polysaccharide (CPS) and biofilm, and appeared to have a significant competitive advantage when co-cultured with Kp-S. Moreover, Kp-R was easier to adhere to and invade A549 epithelial cells than Kp-S but caused less cell-viability damage according to cell counting kit-8 (CCK-8) tests. Immunofluorescence revealed that both Kp-R and Kp-S infection destroyed the tight junctions and F-actin of epithelial cells, while the damage caused by Kp-S was more severe than Kp-R. We detected the extracellular metabolites secreted by the two strains with UHPLC-Q-TOF MS to explore the critical secretion products. We identified 16 predominant compounds that were differentially expressed. Among them, inosine increased the viability of epithelial cells in a dose-dependent manner, and an AR antagonist can abolish such enhancement. D-mannose, which was secreted less in Kp-R, inhibited the viability of A549 cells in the range of low doses. These findings provide potential targets and research strategies for preventing and treating drug-resistant infections.
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http://dx.doi.org/10.3390/molecules27092994DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106066PMC
May 2022

SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory.

Front Neurosci 2022 18;16:850945. Epub 2022 Apr 18.

Microelectronics Institute of Seville, Seville, Spain.

Working memory is a fundamental feature of biological brains for perception, cognition, and learning. In addition, learning with working memory, which has been show in conventional artificial intelligence systems through recurrent neural networks, is instrumental to advanced cognitive intelligence. However, it is hard to endow a simple neuron model with working memory, and to understand the biological mechanisms that have resulted in such a powerful ability at the neuronal level. This article presents a novel self-adaptive multicompartment spiking neuron model, referred to as SAM, for spike-based learning with working memory. SAM integrates four major biological principles including sparse coding, dendritic non-linearity, intrinsic self-adaptive dynamics, and spike-driven learning. We first describe SAM's design and explore the impacts of critical parameters on its biological dynamics. We then use SAM to build spiking networks to accomplish several different tasks including supervised learning of the MNIST dataset using sequential spatiotemporal encoding, noisy spike pattern classification, sparse coding during pattern classification, spatiotemporal feature detection, meta-learning with working memory applied to a navigation task and the MNIST classification task, and working memory for spatiotemporal learning. Our experimental results highlight the energy efficiency and robustness of SAM in these wide range of challenging tasks. The effects of SAM model variations on its working memory are also explored, hoping to offer insight into the biological mechanisms underlying working memory in the brain. The SAM model is the first attempt to integrate the capabilities of spike-driven learning and working memory in a unified single neuron with multiple timescale dynamics. The competitive performance of SAM could potentially contribute to the development of efficient adaptive neuromorphic computing systems for various applications from robotics to edge computing.
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http://dx.doi.org/10.3389/fnins.2022.850945DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074872PMC
April 2022

Correlation Analysis Between Magnetic Resonance Imaging-Based Anatomical Assessment and Behavioral Outcome in a Rat Contusion Model of Chronic Thoracic Spinal Cord Injury.

Front Neurosci 2022 21;16:838786. Epub 2022 Apr 21.

Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.

Although plenty of evidences from preclinical studies have led to potential treatments for patients with spinal cord injury (SCI), the failure to translate promising preclinical findings into clinical advances has long puzzled researchers. Thus, a more reliable combination of anatomical assessment and behavioral testing is urgently needed to improve the translational worth of preclinical studies. To address this issue, the present study was designed to relate magnetic resonance imaging (MRI)-based anatomical assessment to behavioral outcome in a rat contusion model. Rats underwent contusion with three different heights to simulate various severities of SCI, and their locomotive functions were evaluated by the grid-walking test, Louisville swim scale (LSS), especially catwalk gait analysis system and basic testing, and Basso, Beattie, Bresnahan (BBB) score. The results showed that the lesion area (LA) is a better indicator for damage assessment compared with other parameters in sagittal T2-weighted MRI (T2WI). Although two samples are marked as outliers by the box plot analysis, LA correlated closely with all of the behavioral testing without ceiling effect and floor effect. Moreover, with a moderate severity of SCI in a contusion height of 25 mm, the smaller the LA of the spinal cord measured on sagittal T2WI the better the functional performance, the smaller the cavity region and glial scar, the more spared the myelin, the higher the volatility, and the thicker the bladder wall. We found that LA significantly related with behavior outcomes, which indicated that LA could be a proxy of damage assessment. The combination of sagittal T2WI and four types of behavioral testing can be used as a reliable scheme to evaluate the prognosis for preclinical studies of SCI.
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http://dx.doi.org/10.3389/fnins.2022.838786DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9069114PMC
April 2022

Autophagy induced by taurolidine protects against polymicrobial sepsis by promoting both host resistance and disease tolerance.

Proc Natl Acad Sci U S A 2022 May 5;119(19):e2121244119. Epub 2022 May 5.

Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou 215025, China.

SignificanceDisease resistance and tolerance are evolutionarily conserved yet distinct defense strategies that protect the host against microbial infection. Here, we report that taurolidine administered before the start of infection confers protection against polymicrobial sepsis by promoting resistance and tolerance. Notably, taurolidine given after the onset of infection also rescues mice from sepsis-associated lethality by enhancing disease tolerance to organ damage. This protection relies on an intact autophagy pathway, as taurolidine fails to protect autophagy-deficient mice against microbial sepsis. Specifically, taurolidine induces light chain 3-associated phagocytosis, but not xenophagy, in macrophages, resulting in an augmented bactericidal activity with enhanced cellular resistance to infection. These results highlight the importance of autophagy induction for taurolidine-augmented host resistance and disease tolerance and subsequent protection.
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http://dx.doi.org/10.1073/pnas.2121244119DOI Listing
May 2022

Objective evaluation of wearable thermoelectric generator: From platform building to performance verification.

Rev Sci Instrum 2022 Apr;93(4):045105

State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, China.

Wearable thermoelectric generators can harvest heat from the human body to power an intelligent electronic device, which plays an important role in wearable electronics. However, due to the complexity of human skin, there is still no unified standard for performance testing of wearable thermoelectric generators under wearable conditions. Herein, a test platform suitable for a wearable thermoelectric generator was designed and built by simulating the structure of the arm. Based on the biological body temperature regulation function, water flow and water temperature substitute blood flow and blood temperature, the silicone gel with some thickness simulates the skin layer of the human arm, thus achieving the goal of adjusting the thermal resistance of human skin. Meanwhile, the weight is used as the contact pressure to further ensure the reliability and accuracy of the test data. In addition, the environment regulatory system is set up to simulate the outdoor day. Actually, the maximum deviation of the performance of the thermoelectric generator worn on the test platform and human arm is ∼5.2%, indicating the accuracy of objective evaluation.
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http://dx.doi.org/10.1063/5.0087672DOI Listing
April 2022

Early onset is an indication of the severity of DADA2 disease.

Rheumatology (Oxford) 2022 Apr 26. Epub 2022 Apr 26.

Department of Rheumatology, National Centre for Children's Health; Beijing Children's Hospital, Capital Medical University, Beijing, China.

Objective: To find indicators of disease severity and factors of early remission in patients with the deficiency of adenosine deaminase 2 (DADA2). We enrolled 6 DADA2 patients from 6 families.

Methods: Direct sequencing of ADA2 was performed by Sanger analysis. A literature review was conducted for articles regarding pediatric DADA2.

Results: We have found that more organs were involved in early-onset DADA2 patients and early-onset patients had high level inflammatory responses, such as elevated ESR, SF, serum amyloid A (SAA) and CRP. Disease severity was not significantly different from missense and frameshift mutation. Early administration of tumor necrosis factor (TNF) inhibitor might result in better remission and reduce recurrence. In the literature, 4 articles describing 51 pediatric DADA2 patients were identified. We also found more organs involved in early onset DADA2 patients. Fever, stroke, peripheral nervous system involvement, hypogammaglobulinemia (HGGN), and hypertension were more frequent in early onset DADA2 patients.

Conclusion: Early-onset DADA2 may be more severe. Early administration of TNF inhibitor can effectively reduce recurrence and quickly alleviate the disease.
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http://dx.doi.org/10.1093/rheumatology/keac233DOI Listing
April 2022

A new occluded face recognition framework with combination of both Deocclusion and feature filtering methods.

Multimed Tools Appl 2022 Apr 21:1-30. Epub 2022 Apr 21.

College of Aeronautics and Astronautics, Sichuan University, Chengdu, China.

Face recognition plays the significant role in many human-computer interaction decvices and applications, whose access control systems are based on the verification of face biometrical features. Though great improvement in the recognition performances have been achieved, when under some specific conditions like faces with occlusions, the performance would suffer a severe drop. Occlusion is one of the most significant reasons for the performance degrade of the existing general face recognition systems. The biggest problem in occluded face recognition (OFR) lies in the lack of the occluded face data. To mitigate this problem, this paper has proposed one new OFR network DOMG-OFR (Dynamic Occlusion Mask Generator based Occluded Face Recognition), which keeps trying to generate the most informative occluded face training samples on feature level dynamically, in this way, the recognition model would always be fed with the most valuable training samples so as to save the labor in preparing the synthetic data while simultaneously improving the training efficiency. Besides, this paper also proposes one new module called Decision Module (DM) in an attempt to combine both the merits of the two mainstream methodologies in OFR which are face image reconstruction based methodologies and the face feature filtering based methodologies. Furthermore, to enable the existing face deocclusion methods that mostly target at near frontal faces to work well on faces under large poses, one head pose aware deocclusion pipeline based on the Condition Generative Adversarial Network (CGAN) is proposed. In the experimental parts, we have also investigated the effects of the occlusions upon face recognition performance, and the validity and the efficiency of our proposed Decision based OFR pipeline has been fully proved. Through comparing both the verification and the recognition performance upon both the real occluded face datasets and the synthetic occluded face datasets with other existing works, our proposed OFR architecture has demonstrated obvious advantages over other works.
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http://dx.doi.org/10.1007/s11042-022-12851-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022165PMC
April 2022

In Vitro Testing of Sunscreens for Dermal Absorption: Method Comparison and Rank Order Correlation with In Vivo Absorption.

AAPS PharmSciTech 2022 Apr 22;23(5):121. Epub 2022 Apr 22.

Division of Product Quality Research, Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, FDA, 10903 New Hampshire Avenue, WO64-Rm1032, Silver Spring, Maryland, 20993, USA.

Evaluating the dermal absorption of sunscreen UV filters requires the development of a bio-predictable in vitro permeation test (IVPT). This work describes the comparison of two IVPT methods and rank order correlations of in vitro absorption (skin permeation and retention) with the in vivo absorption (AUC and skin retention) of sunscreens. The IVPT was compared regarding the following elements: (1) application of a single finite dose vs. an infinite dose and (2) the use of heat-separated human epidermis vs. dermatomed skin models. The IVPT was used to evaluate dermal absorption of six UV filters (avobenzone, homosalate, octinoxate, octisalate, octocrylene, and oxybenzone) in commercial sunscreens. Both the in vivo and in vitro permeation studies demonstrated that all UV filters were absorbed following a single-dose application. Sunscreens were rank ordered by the amount of the UV filters absorbed. Data obtained from the IVPT method using a single finite dose and heat-separated human epidermis was found to correlate with the clinical data. Rank orders of the cumulative in vitro skin permeation and the in vivo AUC were found comparable for oxybenzone, homosalate, octisalate, and octinoxate. Rank orders of the in vitro and in vivo skin retention of oxybenzone and octinoxate were also comparable. Additional IVPT parameters may be optimized to enhance the discriminatory power for UV filters with low skin permeation potential (e.g., avobenzone and octocrylene).
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http://dx.doi.org/10.1208/s12249-022-02275-zDOI Listing
April 2022

An EEG-based systematic explainable detection framework for probing and localizing abnormal patterns in Alzheimer's disease.

J Neural Eng 2022 May 11;19(3). Epub 2022 May 11.

School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, People's Republic of China.

Electroencephalography (EEG) is a potential source of downstream biomarkers for the early diagnosis of Alzheimer's disease (AD) due to its low-cost, noninvasive, and portable advantages. Accurately detecting AD-induced patterns from EEG signals is essential for understanding AD-related neurodegeneration at the EEG level and further evaluating the risk of AD at an early stage. This paper proposes a deep learning-based, functional explanatory framework that probes AD abnormalities from short-sequence EEG data.The framework is a learning-based automatic detection system consisting of three encoding pathways that analyze EEG signals in frequency, complexity, and synchronous domains. We integrated the proposed EEG descriptors with the neural network components into one learning system to detect AD patterns. A transfer learning-based model was used to learn the deep representations, and a modified generative adversarial module was attached to the model to overcome feature sparsity. Furthermore, we utilized activation mapping to obtain the AD-related neurodegeneration at brain rhythm, dynamic complexity, and functional connectivity levels.The proposed framework can accurately (100%) detect AD patterns based on our raw EEG recordings without delicate preprocessing. Meanwhile, the system indicates that (a) the power of different brain rhythms exhibits abnormal in the frontal lobes of AD patients, and such abnormality spreads to central lobes in the alpha and beta rhythms, (b) the difference in nonlinear complexity varies with the temporal scales, and (c) all the connections of pair-wise brain regions except bilateral temporal connectivity are weak in AD patterns. The proposed method outperforms other related methods in detection performance.We provide a new method for revealing abnormalities and corresponding localizations in different feature domains of EEG from AD patients. This study is a significant foundation for our future work on identifying individuals at high risk of AD at an early stage.
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http://dx.doi.org/10.1088/1741-2552/ac697dDOI Listing
May 2022

Serotype Features of 17 Suspected Cases of Foodborne Botulism in China 2019-2022 Revealed by a Multiplex Immuno-Endopep-MS Method.

Front Microbiol 2022 5;13:869874. Epub 2022 Apr 5.

Beijing Institute of Pharmacology and Toxicology, Beijing, China.

Diagnosis of botulism caused by multiple serotypes of botulinum neurotoxin (BoNT) is still a challenge due to the lack of a reliable detection method. The present study develops a feasible laboratorial method based on an isotope dilution Immuno-Endopep-MS to detect BoNTs and determine their serotypes and activities in clinical samples. Eleven positive foodborne botulism cases out of a total of 17 suspected cases in China, 2019-2022, were determined by the established method. Blood, urine, vomitus, gastric mucosa samples, and food samples were employed and evidenced to be suitable for the detection. Results showed that, although single type A-intoxication was still the first cause among these foodborne botulism cases, other causes involving type E, type B, and their mixed types were also determined, providing a glimpse to the serotype profile of botulism happened in recent years in China. Furthermore, in order to provide insights into profiles of toxin serotypes, a comprehensive analysis of clinical specimens collected from one family of four patients was performed during a clinically and therapeutically relevant time frame. Serotypes and concentrations of BoNT in specimens revealed a good correlation with symptoms and progresses of disease. Additionally, serum was proved to be more suitable for detection of BoNT/A with a detection window up to 12 days. A urine sample, although rarely reported for foodborne botulism diagnosis, was validated to be suitable for testing BoNTs, with a longer detection window up to 25 days. To the best of our knowledge, this is the first comprehensive analytical research on profiles of serotypes A, B, and E in different types of specimens from mixed botulism cases. Our method and findings facilitate the toxin detection and identification by clinical diagnostic laboratories.
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http://dx.doi.org/10.3389/fmicb.2022.869874DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016322PMC
April 2022

Preparation and Properties of Thin-Film Composite Forward Osmosis Membranes Supported by Cellulose Triacetate Porous Substrate via a Nonsolvent-Thermally Induced Phase Separation Process.

Membranes (Basel) 2022 Apr 10;12(4). Epub 2022 Apr 10.

School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China.

A porous substrate plays an important role in constructing a thin-film composite forward osmosis (TFC-FO) membrane. To date, the morphology and performance of TFC-FO membranes are greatly limited by porous substrates, which are commonly fabricated by non-solvent induced phase separation (NIPS) or thermally induced phase separation (TIPS) processes. Herein, a novel TFC-FO membrane has been successfully fabricated by using cellulose triacetate (CTA) porous substrates, which are prepared using a nonsolvent-thermally induced phase separation (N-TIPS) process. The pore structure, permeability, and mechanical properties of CTA porous substrate are carefully investigated via N-TIPS process (CTA). As compared with those via NIPS and TIPS processes, the CTA substrate shows a smooth surface and a cross section combining interconnected pores and finger-like macropores, resulting in the largest water flux and best mechanical property. After interfacial polymerization, the obtained TFC-FO membranes are characterized in terms of their morphology and intrinsic transport properties. It is found that the TFC-FO membrane supported by CTA substrate presents a thin polyamide film full of nodular and worm-like structure, which endows the FO membrane with high water permeability and selectivity. Moreover, the TFC-FO membrane supported by CTA substrate displays a low internal concentration polarization effect. This work proposes a new insight into preparing TFC-FO membrane with good overall performance.
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http://dx.doi.org/10.3390/membranes12040412DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025079PMC
April 2022

Novel Sphingosine Kinase 1 Inhibitor Suppresses Growth of Solid Tumor and Inhibits the Lung Metastasis of Triple-Negative Breast Cancer.

J Med Chem 2022 Apr 19. Epub 2022 Apr 19.

State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zu Chong Zhi Road, Shanghai 201203, China.

Targeting sphingosine kinase 1 (SphK1) has become a novel strategy for the treatment of inflammatory bowel disease and cancer the SphK1/S1P signaling pathway. However, exploration of SphK1 inhibitor therapeutic applications has been hampered by the poor pharmacokinetic properties of these SphK1 inhibitors. Herein, we report the structural optimization and structure-activity relationship studies of a series of novel SphK1 inhibitors. The novel compound selectively inhibits SphK1 and exhibits higher anti-proliferative activity compared to the positive compound in various cancer cells, which is associated with the induction of G0/G1 phase arrest and apoptosis; besides, it could also inhibit the cell migration. Further, compound can suppress growth of both colon tumor and triple-negative breast tumor and inhibits the lung metastasis of triple-negative breast cancer with higher potency compared with that of . Collectively, compound represents a promising lead compound for the treatment of solid tumor and the metastasis.
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http://dx.doi.org/10.1021/acs.jmedchem.2c00040DOI Listing
April 2022

Analysis of bacterial spectrum, activin A, and CD64 in chronic obstructive pulmonary disease patients complicated with pulmonary infections.

World J Clin Cases 2022 Mar;10(8):2382-2392

Department of Laboratory Medicine, Lianyungang Second People's Hospital, Lianyungang 222006, Jiangsu Province, China.

Background: Pulmonary infections often lead to poor prognoses in patients with chronic obstructive pulmonary disease (COPD). Activin A and CD64 play crucial pathological roles in the development of COPD.

Aim: To explore the bacterial spectrum analysis of activing A levels, CD64 index, and related mechanisms in COPD patients complicated with pulmonary infection.

Methods: Between March 2015 and January 2018, a total of 85 patients with COPD, who also suffered from pulmonary infections, were enrolled in this study as the pulmonary infection group. In addition, a total of 96 COPD patients, without pulmonary infection, were selected as the control group. Sputum samples of patients in the pulmonary infection group were cultivated for bacterial identification prior to administration of antibiotics. The neutrophil CD64 index was measured using flow cytometry, serum activin A levels were detected an enzyme-linked immunosorbent assay, and activin A, Smad3, TLR4, MyD88, and NFκB protein expression was analyzed by Western blotting.

Results: Gram-negative bacteria were identified in 57.65% of the sputum samples in the pulmonary infection group. The most prevalent Gram-negative species were and . Conversely, Gram-positive bacteria were identified in 41.18% of the sputum samples in the pulmonary infection group. The most common Gram-positive species was . Fungi were identified in 1.17% of the sputum samples in the pulmonary infection group. The CD64 index was significantly higher in the pulmonary infection group (0.91 ± 0.38) than in the control group (0.23 ± 0.14, < 0.001). The serum activin A levels were significantly higher in the pulmonary infection group (43.50 ± 5.22 ng/mL), compared to the control group (34.82 ± 4.16 ng/mL, < 0.001). The relative expression levels of activin A, Smad3, TLR4, MyD88, and NFκB were all significantly higher in the pulmonary infection group, compared to the control group (all < 0.001).

Conclusion: Pulmonary infections in COPD patients are mainly caused by , , and . Pulmonary infections can significantly increase neutrophil CD64 index and serum levels of activin A, thereby activating the activin A/Smad3 signaling pathway, which may positively regulate the TLR4/MyD88/NFκB signaling pathway.
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http://dx.doi.org/10.12998/wjcc.v10.i8.2382DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968607PMC
March 2022

Identification and evaluation of a lipid-lowering small compound in preclinical models and in a Phase I trial.

Cell Metab 2022 May 14;34(5):667-680.e6. Epub 2022 Apr 14.

State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing 100049, China; School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing 210023, China. Electronic address:

Developing non-statin-based small compounds to battle the global epidemic of hyperlipidemia remains challenging. Here, we report the discovery of DC371739, an indole-containing tetrahydroisoquinoline compound with promising lipid-lowering effects, both in vitro and in vivo, and with good tolerability in a Phase I clinical trial (NCT04927221). DC371739 significantly reduced the plasma levels of total cholesterol, low-density lipoprotein cholesterol, and triglycerides simultaneously in several animal models and showed preliminary positive results in the Phase I trial. Mechanistically, DC371739 acts in a distinct manner from other known lipid-lowering reagents. We show that it physically binds HNF-1α, impeding the transcription of both PCSK9 and ANGPTL3, two genes that are known to contribute to hypercholesterolemia and dyslipidemia. Moreover, the distinct mechanism of action of DC371739 allows its combination with atorvastatin treatment to additively improve dyslipidemia, while providing a potential alternative therapeutic strategy for individuals with statin intolerance.
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http://dx.doi.org/10.1016/j.cmet.2022.03.006DOI Listing
May 2022

Subthalamic and pallidal stimulation in Parkinson's disease induce distinct brain topological reconstruction.

Neuroimage 2022 Jul 9;255:119196. Epub 2022 Apr 9.

School of Electrical and Information Engineering, Tianjin University, Tianjin, China. Electronic address:

The subthalamic nucleus (STN) and globus pallidus internus (GPi) are the two most common and effective target brain areas for deep brain stimulation (DBS) treatment of advanced Parkinson's disease. Although DBS has been shown to restore functional neural circuits of this disorder, the changes in topological organization associated with active DBS of each target remain unknown. To investigate this, we acquired resting-state functional magnetic resonance imaging (fMRI) data from 34 medication-free patients with Parkinson's disease that had DBS electrodes implanted in either the subthalamic nucleus or internal globus pallidus (n = 17 each), in both ON and OFF DBS states. Sixteen age-matched healthy individuals were used as a control group. We evaluated the regional information processing capacity and transmission efficiency of brain networks with and without stimulation, and recorded how stimulation restructured the brain network topology of patients with Parkinson's disease. For both targets, the variation of local efficiency in motor brain regions was significantly correlated (p < 0.05) with improvement rate of the Uniform Parkinson's Disease Rating Scale-III scores, with comparable improvements in motor function for the two targets. However, non-motor brain regions showed changes in topological organization during active stimulation that were target-specific. Namely, targeting the STN decreased the information transmission of association, limbic and paralimbic regions, including the inferior frontal gyrus angle, insula, temporal pole, superior occipital gyri, and posterior cingulate, as evidenced by the simultaneous decrease of clustering coefficient and local efficiency. GPi-DBS had a similar effect on the caudate and lenticular nuclei, but enhanced information transmission in the cingulate gyrus. These effects were not present in the DBS-OFF state for GPi-DBS, but persisted for STN-DBS. Our results demonstrate that DBS to the STN and GPi induce distinct brain network topology reconstruction patterns, providing innovative theoretical evidence for deciphering the mechanism through which DBS affects disparate targets in the human brain.
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http://dx.doi.org/10.1016/j.neuroimage.2022.119196DOI Listing
July 2022

EGCG Restricts PRRSV Proliferation by Disturbing Lipid Metabolism.

Microbiol Spectr 2022 Apr 11;10(2):e0227621. Epub 2022 Apr 11.

School of Food and Bioengineering, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan Province, People's Republic of China.

Porcine reproductive and respiratory syndrome virus (PRRSV) infection leads to late-term reproductive failure and respiratory illness that affect the global swine industry. Epigallocatechin gallate (EGCG) is a polyphenolic compound from green tea that exerts antiviral activity against diverse viruses. This study aimed to report an uncharacterized mechanism of how EGCG restricted PRRSV proliferation. EGCG showed no significant effects on cell viability, cell cycle progression, and apoptosis in porcine alveolar macrophages and MARC-145 cells. The treatment of cells with EGCG attenuated the replication of both highly pathogenic and less pathogenic PRRSV . The viral life cycle analysis demonstrated that EGCG affected PRRSV replication and assembly, but not viral attachment, entry, or release. Interestingly, EGCG treatment abrogated the increased lipid droplets formation and lipid content induced by PRRSV infection. We further demonstrated that EGCG blocked PRRSV-stimulated expression of the key enzymes in lipid synthesis. In addition, EGCG attenuated PRRSV-induced autophagy that is critical for PRRSV proliferation. The supplementation of oleic acid restored PRRSV replication and assembly under EGCG treatment. Together, our results support that EGCG inhibits PRRSV proliferation through disturbing lipid metabolism. Porcine reproductive and respiratory syndrome virus (PRRSV) is an enveloped single-positive-stranded RNA virus that causes acute respiratory distress in piglets and reproductive failure in sows, resulting in huge economic losses to the global swine industry. Several lines of evidence have suggested the crucial roles of lipids in PRRSV proliferation. Our previous report demonstrated that PRRSV activated lipophagy to facilitate viral replication through downregulating the expression of N-Myc downstream-regulated gene 1. The manipulation of lipid metabolism may be a new perspective to prevent PRRSV spread. In the present study, we reported that epigallocatechin-3-gallate (EGCG), the major component of green tea catechins, significantly attenuated PRRSV infection through inhibiting lipid synthesis and autophagy. Given that natural products derived from plants have helped in the prevention and treatment of various infectious diseases, EGCG has a great potential to serve as a safe and environmentally friendly natural compound to treat PRRSV infection.
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http://dx.doi.org/10.1128/spectrum.02276-21DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045245PMC
April 2022

Analysis of complexity and dynamic functional connectivity based on resting-state EEG in early Parkinson's disease patients with mild cognitive impairment.

Cogn Neurodyn 2022 Apr 12;16(2):309-323. Epub 2021 Sep 12.

School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072 China.

To explore the abnormal brain activity of early Parkinson's disease with mild cognitive impairment (ePD-MCI) patients, the study analyzed the dynamic fluctuation of electroencephalogram (EEG) signals and the dynamic change of information communication between EEG signals of ePD-MCI patients. In this study, we recorded resting-state EEG signals of 30 ePD-MCI patients and 37 early Parkinson's disease without mild cognitive impairment (ePD-nMCI) patients. First, we analyzed the difference of the complexity of EEG signals between the two groups. And we found that the complexity in the ePD-MCI group was significantly higher than that in the ePD-nMCI group. Then, by analyzing the dynamic functional network (DFN) topology based on the optimal sliding-window, we found that the temporal correlation coefficients of ePD-MCI patients were lower in the delta and theta bands than those in the ePD-nMCI patients. The temporal characteristic path length of ePD-MCI patients in the alpha band was higher than that of ePD-nMCI patients. In the theta and alpha bands, the temporal small world degrees of ePD-MCI patients were lower than that of patients with ePD-nMCI. In addition, the functional connectivity strength of ePD-MCI patients affected by cognitive impairment was weaker than that of ePD-nMCI patients, and the stability of dynamic functional connectivity network was decreased. This finding may serve as a biomarker to identify ePD-MCI and contribute to the early intervention treatment of ePD-MCI.
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http://dx.doi.org/10.1007/s11571-021-09722-wDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934826PMC
April 2022

Epileptic Seizure Detection Using Brain-Rhythmic Recurrence Biomarkers and ONASNet-Based Transfer Learning.

IEEE Trans Neural Syst Rehabil Eng 2022 19;30:979-989. Epub 2022 Apr 19.

Objective: The electroencephalogram (EEG) tool has great potential for real-time monitoring of abnormal brain activities, such as preictal and ictal seizures. Developing an EEG-based detection system for patients with epilepsy is vital for clinical management and targeted therapy.

Methods: This paper proposes a single-channel seizure detection system using brain-rhythmic recurrence biomarkers (BRRM) and an optimized model (ONASNet). BRRM is a direct mapping of the recurrence morphology of brain rhythms in phase space; it reflects the nonlinear dynamics of original EEG signals. The architecture of ONASNet is determined through a modified neural network searching strategy. Then, we exploited transfer learning to apply ONASNet to our EEG data. The combination of BRRM and ONASNet leverages the multiple channels of a neural network to extract features from different brain rhythms simultaneously.

Results: We evaluated the efficiency of BRRM-ONASNet on the real EEG recordings derived from Bonn University. In the experiments, different transfer-learning models (TLMs) are respectively constructed using ONASNet and seven well-known neural network structures (VGG16/VGG19/ResNet50/InceptionV3/DenseNet121/Xception/NASNet). Moreover, we compared those TLMs by model size, computing complexity, learning capability, and prediction latency. ONASNet outperforms other structures by strong learning capability, high stability, small model size, short latency, and less requirement of computing resources. Comparing BRRM-ONASNet with other existing methods, our work performs better than others with 100% accuracy under the identical dataset and same detection task. Contributions: The proposed method in this study, analyzing nonlinear features from phase-space representations using a deep neural network, provides new insights for EEG decoding. The successful application of this method in epileptic-seizure detection contributes to computationally medical assistance for epilepsy.
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http://dx.doi.org/10.1109/TNSRE.2022.3165060DOI Listing
April 2022

Decoding Digital Visual Stimulation From Neural Manifold With Fuzzy Leaning on Cortical Oscillatory Dynamics.

Front Comput Neurosci 2022 11;16:852281. Epub 2022 Mar 11.

School of Electrical and Information Engineering, Tianjin University, Tianjin, China.

A crucial point in neuroscience is how to correctly decode cognitive information from brain dynamics for motion control and neural rehabilitation. However, due to the instability and high dimensions of electroencephalogram (EEG) recordings, it is difficult to directly obtain information from original data. Thus, in this work, we design visual experiments and propose a novel decoding method based on the neural manifold of cortical activity to find critical visual information. First, we studied four major frequency bands divided from EEG and found that the responses of the EEG alpha band (8-15 Hz) in the frontal and occipital lobes to visual stimuli occupy a prominent place. Besides, the essential features of EEG data in the alpha band are further mined two manifold learning methods. We connect temporally consecutive brain states in the distribution random adjacency embedded (t-SNE) map on the trial-by-trial level and find the brain state dynamics to form a cyclic manifold, with the different tasks forming distinct loops. Meanwhile, it is proved that the latent factors of brain activities estimated by t-SNE can be used for more accurate decoding and the stable neural manifold is found. Taking the latent factors of the manifold as independent inputs, a fuzzy system-based Takagi-Sugeno-Kang model is established and further trained to identify visual EEG signals. The combination of t-SNE and fuzzy learning can highly improve the accuracy of visual cognitive decoding to 81.98%. Moreover, by optimizing the features, it is found that the combination of the frontal lobe, the parietal lobe, and the occipital lobe is the most effective factor for visual decoding with 83.05% accuracy. This work provides a potential tool for decoding visual EEG signals with the help of low-dimensional manifold dynamics, especially contributing to the brain-computer interface (BCI) control, brain function research, and neural rehabilitation.
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http://dx.doi.org/10.3389/fncom.2022.852281DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961731PMC
March 2022

Fate and emission behavior of heavy metals during hazardous chemical waste incineration.

J Hazard Mater 2022 Jun 9;431:128656. Epub 2022 Mar 9.

State Key Laboratory of Coal Combustion, School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China. Electronic address:

The fate and emission behavior of heavy metals (As, Cd, Co, Cr, Cu, Ni, Pb, Se, and Zn) from a hazardous chemical waste incinerator were systematically explored. The results show that the main components of incineration fly ashes and slags contain minerals such as salt, plagioclase, pyroxene, gypsum, calcite, and slaked lime. The elements As, Cd, Pb, and Se are enriched in the fly ash particles during flue gas condensation. Co and Ni are more likely to be deposited in the rotary kiln slag and cooling tower slag owing to their lower volatility. Zn, Cr, and Cu are usually volatilized into the flue gas as oxides or chlorides are condensed and enriched in the slag of the cooling tower during the flue gas cooling process. The content of As, Cd, Pb, Ni, Cr, and Se increase with decreasing fly ash particle size. After the flue gas purification equipment was employed, the concentration of particulate metals significantly reduced. In the exhaust flue gas, the concentrations of Cu and Zn are 29.85 and 28.47 μg/m, those of As, Cr, Ni, Pb, and Se range from 2.54 to 9.25 μg/m, and those of Co and Cd are 0.42 and 0.13 μg/m, respectively.
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http://dx.doi.org/10.1016/j.jhazmat.2022.128656DOI Listing
June 2022

The passive properties of dendrites modulate the propagation of slowly-varying firing rate in feedforward networks.

Neural Netw 2022 Jun 9;150:377-391. Epub 2022 Mar 9.

School of Electrical and Information Engineering, Tianjin University, No. 92 Weijin Road, Nankai District Tianjin, 300072, China. Electronic address:

The propagation of slowly-varying firing rates has been proved significant for the development of the central nervous system. Recent reports have shown that the membrane passive properties of dendrites play a key role in the computation of the single neuron, which is of great importance to the function of neural networks. However, it is still unclear how dendritic passive properties affect the ability of cortical networks to propagate slowly-varying spiking activity. Here, we use two-compartment biophysical models to construct multilayered feedforward neural networks (FFNs) to investigate how dendritic passive properties affect the propagation of the slow-varying inputs. In the two-compartment biophysical models, one compartment represents apical dendrites, and the other compartment describes the soma plus the axon initial segment. Area proportion occupied by somatic compartment and coupling conductance between dendritic and somatic compartments are abstracted to capture the dendritic passive properties. A time-varying signal is injected into the first layer of the FFNs and the fidelity of the signal during propagation is used to qualify the ability of the FFN to transmit wave-like signals. Numerical results reveal an optimal value of coupling conductance between dendritic and somatic compartments to maximize the fidelity of the initial spiking activity. An increase of the dendritic area enhances the initial firing rate of neurons in the first layer by increasing the response of neurons to slow-varying wave-like input, resulting in a delay of attenuation of the firing rate, thus promoting the transmission of signals in FFN. Using a mean-field approach, we examine that changes in area proportion occupied by somatic compartment and coupling conductance between dendritic and somatic compartment affect the signal propagation ability of the FFN by adjusting the input-output transform of a single neuron. With the participation of external noise, a wide range of initial firing rates maintains a unique representation during propagation, which ensures the reliable transmission of slow-varying signals in FFNs. These findings are helpful to understand how passive properties of dendrites participate in the propagation of slowly varying signals in the cerebellum.
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http://dx.doi.org/10.1016/j.neunet.2022.03.001DOI Listing
June 2022

Cyclic mechanical strain with high-tensile triggers autophagy in growth plate chondrocytes.

J Orthop Surg Res 2022 Mar 28;17(1):191. Epub 2022 Mar 28.

Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei Province, People's Republic of China.

Background: Mechanical loading has been widely considered to be essential for growth plate to maintain metabolism and development. Cyclic mechanical strain has been demonstrated to induce autophagy, whereas the relationship between cyclic tensile strain (CTS) and autophagy in growth plate chondrocytes (GPCs) is not clear. The objective of this study was to investigate whether CTS can regulate autophagy in GPCs in vitro and explore the potential mechanisms of this regulation.

Methods: The 2-week-old Sprague-Dawley rat GPCs were subjected to CTS of varying magnitude and duration at a frequency of 2.0 Hz. The mRNA levels of autophagy-related genes were measured by RT-qPCR. The autophagy in GPCs was verified by transmission electron microscopy (TME), immunofluorescence and Western blotting. The fluorescence-activated cell sorting (FACS) was employed to detect the percentage of apoptotic and necrotic cells.

Results: In GPCs, CTS significantly increased the mRNA and protein levels of autophagy-related genes, such as LC3, ULK1, ATG5 and BECN1 in a magnitude- and time-dependent manner. There was no significant difference in the proportion of apoptotic and necrotic cells between control group and CTS group. The autophagy inhibitors, 3-methyladenine (3MA) and chloroquine (CQ) reversed the CTS-induced autophagy via promoting the formation of autophagosomes. Cytochalasin D (cytoD), an inhibitor of G-actin polymerization into F-actin, could effectively block the CTS-induced autophagy in GPCs.

Conclusion: Cyclic mechanical strain with high-tensile triggers autophagy in GPCs, which can be suppressed by 3MA and CQ, and cytoskeletal F-actin microfilaments organization plays a key role in chondrocytes' response to mechanical loading.
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http://dx.doi.org/10.1186/s13018-022-03081-wDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962562PMC
March 2022

Pseudorabies Virus Inhibits Expression of Liver X Receptors to Assist Viral Infection.

Viruses 2022 03 3;14(3). Epub 2022 Mar 3.

College of Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China.

Pseudorabies virus (PRV) is a contagious herpesvirus that causes Aujeszky's disease and economic losses worldwide. Liver X receptors (LXRs) belong to the nuclear receptor superfamily and are critical for the control of lipid homeostasis. However, the role of LXR in PRV infection has not been fully established. In this study, we found that PRV infection downregulated the mRNA and protein levels of LXRα and LXRβ in vitro and in vivo. Furthermore, we discovered that LXR activation suppressed PRV proliferation, while LXR inhibition promoted PRV proliferation. We demonstrated that LXR activation-mediated reduction of cellular cholesterol was critical for the dynamics of PRV entry-dependent clathrin-coated pits. Replenishment of cholesterol restored the dynamics of clathrin-coated pits and PRV entry under LXR activation conditions. Interestingly, T0901317, an LXR agonist, prevented PRV infection in mice. Our results support a model that PRV modulates LXR-regulated cholesterol metabolism to facilitate viral proliferation.
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http://dx.doi.org/10.3390/v14030514DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954865PMC
March 2022

A Study of the Detection of SARS-CoV-2 ORF1ab Gene by the Use of Electrochemiluminescent Biosensor Based on Dual-Probe Hybridization.

Sensors (Basel) 2022 Mar 21;22(6). Epub 2022 Mar 21.

State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.

To satisfy the need to develop highly sensitive methods for detecting the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) and further enhance detection efficiency and capability, a new method was created for detecting SARS-CoV-2 of the open reading frames 1ab (ORF1ab) target gene by a electrochemiluminescence (ECL) biosensor based on dual-probe hybridization through the use of a detection model of "magnetic capture probes-targeted nucleic acids-Ru(bpy) labeled signal probes". The detection model used magnetic particles coupled with a biotin-labeled complementary nucleic acid sequence of the SARS-CoV-2 ORF1ab target gene as the magnetic capture probes and Ru(bpy) labeled amino modified another complementary nucleic acid sequence as the signal probes, which combined the advantages of the highly specific dual-probe hybridization and highly sensitive ECL biosensor technology. In the range of 0.1 fM~10 µM, the method made possible rapid and sensitive detection of the ORF1ab gene of the SARS-CoV-2 within 30 min, and the limit of detection (LOD) was 0.1 fM. The method can also meet the analytical requirements for simulated samples such as saliva and urine with the definite advantages of a simple operation without nucleic acid amplification, high sensitivity, reasonable reproducibility, and anti-interference solid abilities, expounding a new way for efficient and sensitive detection of SARS-CoV-2.
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http://dx.doi.org/10.3390/s22062402DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954742PMC
March 2022

[email protected]@PEI Core-Shell Microspheres as a Novel Magnetic Sorbent for the Rapid and Broad-Spectrum Separation of Bacteria in Liquid Phase.

Materials (Basel) 2022 Mar 10;15(6). Epub 2022 Mar 10.

State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.

Bacterial infection is a significant cause of morbidity and mortality to humans worldwide. Thus, a method for nonspecific, sensitive, and rapid enrichment of such bacteria is essential for bacteria detection and treatment. This study demonstrates a self-made core-shell [email protected]@Polyethyleneimine magnetic beads ([email protected]@PEI MBs) with a high density positive charge-based magnetic separation scheme for the broad-spectrum rapid enrichment of microorganisms in the liquid phase. MBs with a high-density positive charge have a strong electrostatic attraction to most microorganisms in nature. Our scheme is as follows: (1) wrapping dopamine (DA) on the iron oxide through self-polymerization and wrapping PEI on the outermost shell layer in a mode of crosslinking with the PDA; (2) subsequently, the [email protected]@PEI MBs were used to concentrate microorganisms from the sample solution; (3) performing magnetic separation and calculating the adsorption efficiency. The as-prepared [email protected]@PEI MBs composite was carefully characterized by zeta potential analysis, Value stream-mapping (VSM), transmission electron microscopy (TEM), and Fourier transforms infrared spectrometry (FT-IR). In this study, both gram-positive and gram-negative bacteria could be captured in three minutes through electrostatic interaction. Furthermore, the adsorption efficiency on gram-negative (>98%) is higher than that on gram-positive (>95%), allowing for a simple, rapid assay to enrich organisms in resource-limited settings.
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http://dx.doi.org/10.3390/ma15062039DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949534PMC
March 2022

Deficiency of Integrin 4 Results in Increased Lung Tissue Stiffness and Responds to Substrate Stiffness Modulating RhoA Activity.

Front Cell Dev Biol 2022 3;10:845440. Epub 2022 Mar 3.

School of Basic Medicine, Central South University, Changsha, China.

The interaction between extracellular matrix (ECM) and epithelial cells plays a key role in lung development. Our studies found that mice with conditional integrin 4 (ITGB4) knockout presented lung dysplasia and increased stiffness of lung tissues. In accordance with our previous studies regarding the functions of ITGB4 in bronchial epithelial cells (BECs), we hypothesize that the decreased ITGB4 expression during embryonic stage leads to abnormal ECM remodeling and increased tissue stiffness, thus impairing BECs motility and compromising lung development. In this study, we examined lung tissue stiffness in normal and ITGB4 deficiency mice using Atomic Force Microscopy (AFM), and demonstrated that ITGB4 deficiency resulted in increased lung tissue stiffness. The examination of ECM components collagen, elastin, and lysyl oxidase (LOX) family showed that the expression of type VI collagen, elastin and LOXL4 were significantly elevated in the ITGB4-deficiency mice, compared with those in normal groups. Airway epithelial cell migration and proliferation capacities on normal and stiff substrates were evaluated through video-microscopy and flow cytometry. The morphology of the cytoskeleton was detected by laser confocal microscopy, and RhoA activities were determined by fluorescence resonance energy transfer (FRET) microscopy. The results showed that migration and proliferation of ITGB4 deficiency cells were noticeably inhibited, along decreased cytoskeleton stabilization, and hampered RhoA activity, especially for cells cultured on the stiff substrate. These results suggest that decreased ITGB4 expression results in increased lung tissue stiffness and impairs the adaptation of bronchial epithelial cells to substrate stiffness, which may be related to the occurrence of broncho pulmonary dysplasia.
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http://dx.doi.org/10.3389/fcell.2022.845440DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926985PMC
March 2022

Gating attractor dynamics of frontal cortex under acupuncture via recurrent neural network.

IEEE J Biomed Health Inform 2022 Mar 15;PP. Epub 2022 Mar 15.

Acupuncture can regulate the functions of human body and improve the cognition of brain. However, the mechanism of acupuncture manipulations remains unclear. Here, we hypothesis that the frontal cortex plays a gating role in information routing of brain network under acupuncture. To that end, the gating effect of frontal cortex under acupuncture is analyzed in combination with EEG data of acupuncture at Zusanli acupoints. In addition, recurrent neural network (RNN) is used to reproduce the dynamics of frontal cortex under normal state and acupuncture state. From low-dimensional view, it is shown that the brain networks under acupuncture state can show stable attractor cycle dynamics, which may explain the regulation effect of acupuncture. Comparing with different manipulations, we find that the attractor of low-dimensional trajectory varies under different frequencies of acupuncture. Besides, a strip gated band of neural dynamics is found by changing the frequency of stimulation and excitatory-inhibitory balance of network. The attractor state is found to transport in the gating area under different stimulation frequencies, and the probability of attractor migration is different across acupuncture manipulations. This reverse engineering of brain network indicates that the differences among acupuncture manipulations are caused by interaction and separation in the neural activity space between attractors that encode acupuncture function. Consequently, our results may provide help for quantitative analysis of acupuncture, and benefit for the clinical guidance of acupuncture clinicians.
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http://dx.doi.org/10.1109/JBHI.2022.3158963DOI Listing
March 2022

Latent Characteristics and Neural Manifold of Brain Functional Network Under Acupuncture.

IEEE Trans Neural Syst Rehabil Eng 2022 29;30:758-769. Epub 2022 Mar 29.

Acupuncture can regulate the cognition of brain system, and different manipulations are the keys of realizing the curative effect of acupuncture on human body. Therefore, it is crucial to distinguish and monitor the different acupuncture manipulations automatically. In this brief, in order to enhance the robustness of electroencephalogram (EEG) detection against noise and interference, we propose an acupuncture manipulation detecting framework based on supervised ISOMAP and recurrent neural network (RNN). Primarily, the low-dimensional embedding neural manifold of brain dynamical functional network is extracted via the reconstructed geodetic distance. It is found that there exhibits stronger acupuncture-specific reconfiguration of brain network. Besides, we show that the distance travel along this manifold correlates strongly with changes of acupuncture manipulations. The low-dimensional brain topological structure of all subjects shows crescent-like feature when acupuncturing at Zusanli acupoints, and fixed-points are varying under diverse manipulation methods. Moreover, Takagi-Sugeno-Kang (TSK) classifier is adopted to identify acupuncture manipulations according to the nonlinear characteristics of neural manifolds. Compared with different classifier, TSK can further improve the accuracy of manipulation identification at 96.71%. The results demonstrate the effectiveness of our model in detecting the acupuncture manipulations, which may provide neural biomarkers for acupuncture physicians.
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http://dx.doi.org/10.1109/TNSRE.2022.3157380DOI Listing
May 2022

NLP1 binds the CEP1 signalling peptide promoter to repress its expression in response to nitrate.

New Phytol 2022 06 18;234(5):1547-1552. Epub 2022 Mar 18.

National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200032, China.

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http://dx.doi.org/10.1111/nph.18062DOI Listing
June 2022
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