pH responsive and zwitterionic micelle for enhanced cellular uptake and antitumor performance.

The side effects of small molecule chemotherapeutic drugs (SMCD) have brought great pain to the cancer patients. Many nanodrug carriers can relieve the shortcomings of SMCD, but they have complex synthesis processes and lack biodegradability. To overcome both problems, we synthesized a pH responsive biodegradable zwitterionic molecules (EK-D) by linking zwitterionic polypeptide (EK7) and dodecyl acrylate through a simple click reaction.

Achieving deep intratumoral penetration and multimodal combined therapy for tumor through algal photosynthesis.

Background: Elevated interstitial fluid pressure within tumors, resulting from impaired lymphatic drainage, constitutes a critical barrier to effective drug penetration and therapeutic outcomes.

Results: In this study, based on the photosynthetic characteristics of algae, an active drug carrier (CP@ICG) derived from Chlorella pyrenoidosa (CP) was designed and constructed. Leveraging the hypoxia tropism and phototropism exhibited by CP, we achieved targeted transport of the carrier to tumor sites.

Zwitterionic dendrimer self-assembled nanodrugs with high drug loading for enhanced anti-tumor ability.

Zwitterionic dendrimers have been used to construct many nanomedicines due to their ability to achieve controlled drug release, but their low drug loading content limits their application in nanodrug delivery. To solve this problem, the surface of second generation polypropylimine (G2 PPI) was modified with mercapturized paclitaxel (PTX-SH) and zwitterionic groups to prepare zwitterionic prodrug molecule (PPIMPC), and then zwitterionic dendrimer self-assembled nanodrugs (PPIMPC-DOX micelles) were prepared by incorporating doxorubicin (DOX) into the micelles. The DOX loading and paclitaxel (PTX) loading in PPIMPC-DOX micelles was 6.

Design and Test of Spatial Cognitive Training and Evaluation System Based on Virtual Reality Head-Mounted Display With EEG Recording.

The field of spatial cognitive training and evaluation has rapidly evolved. However, the low learning motivation and engagement of the subjects hinder the widespread use of spatial cognitive training. This study designed a home-based spatial cognitive training and evaluation system (SCTES), which aimed to train subjects on spatial cognitive tasks for 20 days, and compared the brain activities before and after the training.

Feature Extraction Method of EEG Signals Evaluating Spatial Cognition of Community Elderly With Permutation Conditional Mutual Information Common Space Model.

In order to improve the traditional common space pattern (CSP) algorithm pattern in EEG feature extraction, this study proposes a feature extraction method of EEG signals based on permutation conditional mutual information common space pattern (PCMICSP), which used the sum of the permutation condition mutual information matrices of each lead to replacing the mixed spatial covariance matrix in the traditional CSP algorithm, and its eigenvectors and eigenvalues are used to construct a new spatial filter. Then the spatial features in the different time domains and frequency domains are combined to construct the two-dimensional pixel map, Finally, a convolutional neural network (CNN) is used for binary classification. The EEG signals of 7 community elderly before and after spatial cognitive training in virtual reality (VR) scenes were used as the test data set.

Low-intensity pulsed ultrasound triggers a beneficial neuromodulation in dementia mice with chronic cerebral hypoperfusion via activation of hippocampal Fndc5/irisin signaling.

Background: Exercise-related signaling Fndc5/irisin expresses in brain and acts as a crucial regulator of cognitive function, but its detailed roles in vascular dementia (VaD) are still unclear. Low intensity pulsed ultrasound (LIPUS), a novel brain stimulation approach, has been suggested as a promising treatment for dementia. Here, we investigated the activity and efficacy of Fndc5/irisin in experimental VaD, further explored whether the potential effects of LIPUS on VaD is related to Fndc5/irisin.

Task-State EEG Signal Classification for Spatial Cognitive Evaluation Based on Multiscale High-Density Convolutional Neural Network.

In this study, a multi-scale high-density convolutional neural network (MHCNN) classification method for spatial cognitive ability assessment was proposed, aiming at achieving the binary classification of task-state EEG signals before and after spatial cognitive training. Besides, the multi-dimensional conditional mutual information method was used to extract the frequency band features of the EEG data. And the coupling features under the combination of multi-frequency bands were transformed into multi-spectral images.

Facile preparation of nanomicelles using polymyxin E for enhanced antitumor effects.

Chemotherapy is a major cancer treatment that uses antitumor drugs to kill fast-growing cancer cells. Many kinds of drug carriers have been developed to deliver and achieve controlled release of small-molecule therapeutic agents. However, many therapeutic agent carriers need complex preparation process.

Green synthesis of platinum nanoclusters using lentinan for sensitively colorimetric detection of glucose.

The sensitive colorimetric detection of glucose using nanomaterials has been attracting considerable attention. To improve the detection sensitivity, highly stable lentinan stabilized platinum nanoclusters (Pt-LNT NCs) were prepared, in which lentinan was employed as a mild reductant and stabilizer. The size of platinum nanoclusters (Pt NCs) was only 1.

Combining brain-computer interface and virtual reality for rehabilitation in neurological diseases: A narrative review.

Background: The traditional rehabilitation for neurological diseases lacks the active participation of patients, its process is monotonous and tedious, and the effects need to be improved. Therefore, a new type of rehabilitation technology with more active participation combining brain-computer interface (BCI) with virtual reality (VR) has developed rapidly in recent years and has been used in rehabilitation in neurological diseases.

Objectives: This narrative review analyzed and characterized the development and application of the new training system (BCI-VR) in rehabilitation of neurological diseases from the perspective of the BCI paradigm, to provide a pathway for future research in this field.

Association of Small Dense Low-Density Lipoprotein Cholesterol with Stroke Risk, Severity and Prognosis.

Aim: To investigate the association of small dense low-density lipoprotein cholesterol (sdLDL-C) and acute ischemic stroke (AIS) in terms of risk, severity, and outcomes. Prediction models were established to screen high-risk patients and predict prognosis of AIS patients.

Methods: We enrolled in this study 355 AIS patients and 171 non-AIS controls.

Wnt canonical pathway activator TWS119 drives microglial anti-inflammatory activation and facilitates neurological recovery following experimental stroke.

Background: Ischemic stroke is a leading cause of disability worldwide and characteristically accompanied by downregulation of the Wnt/β-catenin signaling. Activation of Wnt/β-catenin signaling emerges to attenuate neuroinflammation after ischemic stroke; however, its effect on modulating microglial polarization is largely unknown. Here, we explored whether Wnt/β-catenin pathway activator TWS119 facilitated long-term neurological recovery via modulating microglia polarization after experimental stroke.

Estimating coupling strength between multivariate neural series with multivariate permutation conditional mutual information.

Recently, coupling between groups of neurons or different brain regions has been widely studied to provide insights into underlying mechanisms of brain functions. To comprehensively understand the effect of such coupling, it is necessary to accurately extract the coupling strength information among multivariate neural signals from the whole brain. This study proposed a new method named multivariate permutation conditional mutual information (MPCMI) to quantitatively estimate the coupling strength of multivariate neural signals (MNS).

Enhanced glucose detection using dendrimer encapsulated gold nanoparticles benefiting from their zwitterionic surface.

The application of ultrasmall gold nanoparticles as enzyme mimics has been drawing great attention. Herein, we developed zwitterionic dendrimer encapsulated gold nanoparticles (Au-G5MC NPs) for highly sensitive and simple colorimetric detection of glucose. Au-G5MC NPs showed peroxidase-like property, which could efficiently catalyze oxidation of 3,3',5,5'-tetramethylbenzidine (TMB) in the presence of HO, producing a blue color product (oxTMB).

Granulocyte-colony stimulating factor inhibits neuronal apoptosis in a rat model of diabetic cerebral ischemia.

Incidence of cerebral vascular disease (CVD) is higher in patients with diabetes mellitus (DM) than that in individuals without DM, and neuronal apoptosis determines the severity of cerebral infarction. However, there is no effective therapy for CVD. Granulocyte-colony stimulating factor (G-CSF), a potent hematopoietic factor, could inhibit apoptosis of hematopoietic progenitor cells.