Early identification of Parkinson’s disease with anxiety based on combined clinical and MRI features

ObjectiveTo identify cortical and subcortical volume, thickness and cortical area features and the networks they constituted related to anxiety in Parkinson’s disease (PD) using structural magnetic resonance imaging (sMRI), and to integrate multimodal features based on machine learning to identify PD-related anxiety.MethodsA total of 219 patients with PD were retrospectively enrolled in the study. 291 sMRI features including cortical volume, subcortical volume, cortical thickness, and cortical area, as well as 17 clinical features, were extracted. Graph theory analysis was used to explore structural networks. A support vector machine (SVM) combination model, which used both sMRI and clinical features to identify participants with PD-related anxiety, was developed and evaluated. The performance of SVM models were evaluated. The mean impact value (MIV) of the feature importance evaluation algorithm was used to rank the relative importance of sMRI features and clinical features within the model.Results17 significant sMRI variables associated with PD-related anxiety was used to build a brain structural network. And seven sMRI and 5 clinical features with statistically significant differences were incorporated into the SVM model. The comprehensive model achieved higher performance than clinical features or sMRI features did alone, with an accuracy of 0.88, a precision of 0.86, a sensitivity of 0.81, an F1-Score of 0.83, a macro-average of 0.85, a weighted-average of 0.92, an AUC of 0.88, and a result of 10-fold cross-validation of 0.91 in test set. The sMRI feature right medialorbitofrontal thickness had the highest impact on the prediction model.ConclusionWe identified the brain structural features and networks related to anxiety in PD, and developed and internally validated a comprehensive model with multimodal features in identifying

Specific two-photon imaging of live cellular and deep-tissue lipid droplets by lipophilic AIEgens at ultra-low concentration

Lipid droplets are highly associated with obesity, diabetes, inflammatory disorders and cancer. A reliable two-photon dye for specific lipid droplets imaging in live cells and live tissues at ultra-low concentration has rarely been reported. In this work, four new aggregation-induced emission luminogens (AIEgens) based on the naphthalene core were designed and synthesized for specific two-photon lipid droplets staining. The new molecules, namely NAP AIEgens, exhibit large Stokes shift (>110 nm), high solid-state fluorescence quantum yield (up to 30%), good two-photon absorption cross section (45–100 GM at 860 nm), high biocompatibility and good photostability. They could specifically stain lipid droplets at ultra-low concentration (50 nM) in a short time of 15 min. Such ultra-low concentration is the lowest value for lipid droplets staining in live cells reported so far. In vitro and ex vivo two-photon imaging of lipid droplets in live cells and live mice liver tissues were successfully demonstrated. In addition, selective visualization of lipid droplets in live mice liver tissues could be achieved at a depth of about 70 μm. These excellent properties render them as promising candidates for investigating lipid droplets-associated physiological and pathological processes in live biological samples

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 - Meeting Abstracts - Antwerp, Belgium. 15–20 July 2017

This work was produced as part of the activities of FAPESP Research,\ud Disseminations and Innovation Center for Neuromathematics (grant\ud 2013/07699-0, S. Paulo Research Foundation). NLK is supported by a\ud FAPESP postdoctoral fellowship (grant 2016/03855-5). ACR is partially\ud supported by a CNPq fellowship (grant 306251/2014-0)

Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN

Aiming at the problem that the roller bearings early fault features are faint that difficult to be effectively identified,a fault diagnosis method of roller bearing based on hybrid feature set and weighted K- nearest- neighbor（ KNN） is proposed. Firstly,those early fault features of roller bearing are calculated based on the signal processing method in time domain,frequency domain and time- frequency domain to construct hybrid feature set. Then,those hybrid feature set are inputted into weighted K- nearest- neighbor for roller bearing early fault identification. The experimental results show that this proposed rolling bearing fault diagnosis method can effectively extract more sensitive early fault features,and the structure is stable,the diagnosis precision is high. It can be applied in the roller bearing real- time on- line monitoring

Preparation of Unsaturated Polyester Composite Reinforced with Jute Fiber

Jute fiber treated with NaOH and large molecules surface modifier synthesized with diphenyl methane diisocyanate-silane coupling agents(MDI-KH550), respectively, were employed to reinforce unsaturated polyester composite by laminating modeling to enlarge its scope of application. The prepared composite were characterized. Comparison of structure of jute fiber treated with alkali and macromolecular surface modifier were carried out by IR. The properties of composite material such as mechanics and linear shrinkage were tested and fracture morphology was also observed. The results show that the surface modifier is grafted on the jute fiber;hence the tensile strength,flexural strength and impact strength of composite are reinforced and toughened, and the line shrinkage rate of composite can be reduced to 0.24%

CSE triggers ferroptosis via SIRT4-mediated GNPAT deacetylation in the pathogenesis of COPD

Abstract Background It is now understood that ferroptosis plays a significant role in the progression of chronic obstructive pulmonary disease (COPD) induced by cigarette smoke extract (CSE). However, the mechanisms underlying this relationship remain largely unclear. Methods In this study, we established a COPD mouse model through exposure to cigarette smoke particulates, followed by H&E staining, analysis of bronchoalveolar lavage fluid, and immunohistochemistry assay. A549 cells were exposed to increasing concentrations of CSE, with the addition of the ferroptosis activator erastin or the inhibitor Fer-1. Cell viability, LDH (lactate dehydrogenase) release, inflammatory cytokines, total ROS (reactive oxygen species), and lipid ROS were measured using the corresponding assay kits. The acetylation level of GNPAT was determined through immunoprecipitation. We assessed the expression levels of molecules involved in plasmalogen biosynthesis (FAR1, AGPS, and GNPAT), GPX4, and SIRT4 using quantitative real-time PCR, western blot analysis, and immunofluorescence staining. Results CSE-induced lung tissue damage was initially observed, accompanied by oxidative stress, ferroptosis, and increased plasmalogen biosynthesis molecules (FAR1, AGPS, and GNPAT). CSE also induced ferroptosis in A549 cells, resulting in reduced cell viability, GSH, and GPX4 levels, along with increased LDH, ROS, MDA (malondialdehyde) levels, oxidized lipids, and elevated FAR1, AGPS, and GNPAT expression. Knockdown of GNPAT mitigated CSE-induced ferroptosis. Furthermore, we found that CSE regulated the acetylation and protein levels of GNPAT by modulating SIRT4 expression. Importantly, the overexpression of GNPAT countered the inhibitory effects of SIRT4 on ferroptosis. Conclusions Our study revealed GNPAT could be deacetylated by SIRT4, providing novel insights into the mechanisms underlying the relationship between CSE-induced ferroptosis and COPD

Ultrafast Delivery of Aggregation-Induced Emission Nanoparticles and Pure Organic Phosphorescent Nanocrystals by Saponin Encapsulation

Saponins are a class of naturally occurring bioactive and biocompatible amphiphilic glycosides produced by plants. Some saponins, such as α-hederin, exhibit unique cell membrane interactions. At concentrations above their critical micelle concentration, they will interact and aggregate with membrane cholesterol to form transient pores in the cell membrane. In this project, we utilized the unique permeabilization and amphiphilic properties of saponins for the intracellular delivery of deep-red-emitting aggregation-induced emission nanoparticles (AIE NPs) and pure organic room-temperature phosphorescent nanocrystals (NCs). We found this method to be biocompatible, inexpensive, ultrafast, and applicable to deliver a wide variety of AIE NPs and NCs into cancer cells

Interhemispheric cortical long-term potentiation in the auditory cortex requires heterosynaptic activation of entorhinal projection

Summary: Long-term potentiation (LTP), which underlies learning and memory, can be induced by high-frequency electrical stimulation (HFS or HFES) and is thought to occur at the synapses of efferent projection. Here, the contralateral connectivity in mice auditory cortex was investigated to reveal the fundamental corticocortical connection properties. After HFES, plasticity was not observed at the terminal synapses at the recording site. The optogenetic HFS at the recording site of the interhemispheric cortical projections could not induce LTP, but HFES at the recording site could induce the interhemispheric cortical LTP. Our subsequent results uncovered that it is the cholecystokinin (CCK) released from the entorhino-neocortical pathway induced by HEFS that modulates the neuroplasticity of the afferent projections, including interhemispheric auditory cortical afferents. Our study illustrates a heterosynaptic mechanism as the basis for cortical plasticity. This regulation might contribute new spots for the understanding and treatment of neurological disorders

DRB2 Modulates Leaf Rolling by Regulating Accumulation of MicroRNAs Related to Leaf Development in Rice

As an important agronomic trait in rice (Oryza sativa), moderate leaf rolling helps to maintain the erectness of leaves and minimize shadowing between leaves, leading to improved photosynthetic efficiency and grain yield. However, the molecular mechanisms underlying rice leaf rolling still need to be elucidated. Here, we isolated a rice mutant, rl89, showing adaxially rolled leaf phenotype due to decreased number and size of bulliform cells. We confirmed that the rl89 phenotypes were caused by a single nucleotide substitution in OsDRB2 (LOC_Os10g33970) gene encoding DOUBLE-STRANDED RNA-BINDING2. This gene was constitutively expressed, and its encoded protein was localized to both nucleus and cytoplasm. Yeast two-hybrid assay showed that OsDRB2 could interact with DICER-LIKE1 (DCL1) and OsDRB1-2 respectively. qRT-PCR analysis of 29 related genes suggested that defects of the OsDRB2-miR166-OsHBs pathway could play an important role in formation of the rolled leaf phenotype of rl89, in which OsDRB2 mutation reduced miR166 accumulation, resulting in elevated expressions of the class III homeodomain-leucine zipper genes (such as OsHB1, 3 and 5) involved in leaf polarity and/or morphology development. Moreover, OsDRB2 mutation also reduced accumulation of miR160, miR319, miR390, and miR396, which could cause the abnormal leaf development in rl89 by regulating expressions of their target genes related to leaf development