Known and unknown: Exosome secretion in tumor microenvironment needs more exploration.

Exosomes, extracellular vesicles originating from endosomes, were discovered in the late 1980s and their function in intercellular communication has since garnered considerable interest. Exosomes are lipid bilayer-coated vesicles that range in size from 30 to 150 nm and appear as sacs under the electron microscope. Exosome secretion is crucial for cell-to-cell contact in both normal physiology and the development and spread of tumors.

Predicting survival benefits of immune checkpoint inhibitor therapy in lung cancer patients: a machine learning approach using real-world data.

Background: Due to the heterogeneity in the effectiveness of immunotherapy for lung cancer, identifying predictors is crucial.

Aim: This study aimed to develop a machine learning model to identify predictors of overall survival in lung cancer patients treated with immune checkpoint inhibitors (ICIs).

Method: A retrospective analysis was performed on data from 1314 lung cancer patients at the Chongqing University Cancer Hospital from September 2018 to September 2022.

Ratiometric fluorescence probe based on boric acid-modified carbon dots and alizarin red for sensitive and rapid detection of glyphosate.

By combining boric acid-modified carbon dots (p-CDs) and alizarin red (ARS), a double emission probe p-CDs@ARS with fluorescence at 410 nm and 600 nm is designed for the detection of glyphosate. When Cu is added, it binds with ARS to cause ARS release from p-CDs@ARS, which decreases the fluorescence at 600 nm. However, in the presence of glyphosate, glyphosate competes to the binding of Cu, releasing ARS to bind with p-CDs again.

PTFE-based antistatic coatings by incorporating modified carbon black.

A kind of antistatic coatings which were applied to nonconductive surfaces were prepared with Polytetrafluoroethylene (PTFE) as matrix, modified carbon black (CB) as conductive filler. Compared to sodium dodecyl sulfate, poly(vinyl pyrrolidone), the TMN-10 modified CB has better wettability, dispersion, stability and re-disperse. When CBcontent is 5 wt.

Long Noncoding RNA NKX2-1-AS1 Accelerates Non-Small Cell Lung Cancer Progression through the miR-589-5p/NME1 Axis.

Non-small cell lung cancer (NSCLC) is the most common malignancy worldwide, with a high death rate. Long noncoding RNA (LncRNA) NKX2-1 antisense RNA 1 (NKX2-1-AS1) has been reported to be an oncogene in lung tumorigenesis. However, the precise mechanism of NKX2-1-AS1 underlying NSCLC progression is blurry.

Quantifying Muscle Co-Activation for Impaired Finger Independence in Stroke Survivors.

Objective: Hand impairment frequently occurs in individuals following a stroke. There is evidence of abnormal muscle co-activation that contributes to impaired control of finger independence. This study quantitatively analyzed hand muscle co-activation patterns of chronic stroke survivors.

Unsupervised separation of nonlinearly mixed event-related potentials using manifold clustering and non-negative matrix factorization.

Event-related potentials (ERPs) can quantify brain responses to reveal the neural mechanisms of sensory perception. However, ERPs often reflect nonlinear mixture responses to multiple sources of sensory stimuli, and an accurate separation of the response to each stimulus remains a challenge. This study aimed to separate the ERP into nonlinearly mixed source components specific to individual stimuli.

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.

Killing Two Birds with One Stone: Shape-Memory Cryogels for Hemostasis and Wound Repair.

The development of shape-memory hemostatic agents is crucial for the treatment of deep incompressible bleeding tissue. However, there are few reports on biomaterials that can monitor bacterial infection at the wound site in real time following hemostasis and effectively promote repair. In this study, we propose a multifunctional QCSG/FLZ cryogel composed of glycidyl methacrylate-functionalized quaternary chitosan (QCSG), fluorescein isothiocyanate (FITC), and a lysozyme (LYZ)-modified zeolitic imidazolate framework (ZIF-8) for incompressible bleeding tissue hemostasis and wound repair.

Efficacy of transjugular intrahepatic portosystemic shunts in treating cirrhotic esophageal-gastric variceal bleeding.

Background: Esophageal-gastric variceal bleeding (EGVB) represents a severe complication among patients with cirrhosis and often culminates in fatal outcomes. Interventional therapy, a rapidly developing treatment modality over the past few years, has found widespread application in clinical practice due to its minimally invasive characteristics. However, whether transjugular intrahepatic portosystemic shunt (TIPS) treatment has an impact on patient prognosis remains controversial.

Correlation between serum markers and transjugular intrahepatic portosystemic shunt prognosis in patients with cirrhotic ascites.

Background: Individuals with refractory ascites in the context of liver cirrhosis typically face an adverse prognosis. The transjugular intrahepatic portosystemic shunt (TIPS) is an efficacious intervention, but there is a lack of reliable tools for postoperative prognosis assessment. Previously utilized clinical biochemical markers, such as the serum albumin concentration (Alb), sodium (Na) concentration, and serum creatinine (Scr), have limited predictive value.

Case Report: Successful Treatment of Cerebral Phaeohyphomycosis with Voriconazole: A Case Report and Literature Review.

Fonsecaea monophora is a species of Fonsecaea that belongs to Chaetothyriales. It is usually isolated from tropical and subtropical regions, causing reactive inflammation, skin abscesses, and pain. Cerebral infection caused by F.

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.

E2F3/5/8 serve as potential prognostic biomarkers and new therapeutic direction for human bladder cancer.

Objects: Human bladder cancer (BC) is the most common urogenital system malignancy. E2F transcription factors (E2Fs) have been reported to be involved in the growth of various cancers. However, the expression patterns, prognostic value and immune infiltration in the tumor microenvironment of the 8 E2Fs in BC have yet fully to be explored.

Modified motor unit properties in residual muscle following transtibial amputation.

Neural signals in residual muscles of amputated limbs are frequently decoded to control powered prostheses. Yet myoelectric controllers assume muscle activities of residual muscles are similar to that of intact muscles. This study sought to understand potential changes to motor unit (MU) properties after limb amputation.

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.

Association between glucose-to-lymphocyte ratio and in-hospital mortality in acute myocardial infarction patients.

Background: Inflammation is involved in the development and progression of atherosclerosis. Recent studies indicated that glucose-to-lymphocyte ratio (GLR) level were significantly associated with the risk of mortality from inflammatory diseases, and showed a specific prognostic value. Herein, this study intended to explore the association between GLR level and in-hospital mortality in patients with acute myocardial infarction (AMI), and evaluate the predictive value of GLR on AMI prognosis.

Ankle Torque Estimation With Motor Unit Discharges in Residual Muscles Following Lower-Limb Amputation.

There has been increased interest in using residual muscle activity for neural control of powered lower-limb prostheses. However, only surface electromyography (EMG)-based decoders have been investigated. This study aims to investigate the potential of using motor unit (MU)-based decoding methods as an alternative to EMG-based intent recognition for ankle torque estimation.

Evaluation of brain nerve function in ICU patients with Delirium by deep learning algorithm-based resting state MRI.

The purpose of this study was to explore the value of resting-state magnetic resonance imaging (MRI) based on the brain extraction tool (BET) algorithm in evaluating the cranial nerve function of patients with delirium in intensive care unit (ICU). A total of 100 patients with delirium in hospital were studied, and 20 healthy volunteers were used as control. All the subjects were examined by MRI, and the images were analyzed by the BET algorithm, and the convolution neural network (CNN) algorithm was introduced for comparison.

Salicylic acid doped silica nanoparticles as a fluorescent nanosensor for the detection of Fe in aqueous solution.

A novel organic-inorganic hybrid nanosensor (SASP) was prepared by a one-step sol-gel method and characterized by scanning electron microscopy, transmission electron microscopy, Fourier transform infrared spectroscopy, thermogravimetric analysis, N adsorption-desorption, fluorescence spectroscopy, The nanosensor showed almost 3-fold fluorescence emission quenching upon excitation with a 293 nm wavelength in the presence of 20 μM Fe ions. The presence of 18 other metal ions had no observable effect on the sensitivity and selectivity of the nanosensor. A fluorescence analysis method based on the SASP for the selective detection of Fe was established under optimal conditions.

Development of hydroxypropyl cellulose and graphene oxide modified molecularly imprinted polymers for separation and enrichment of podophyllotoxin.

A novel hydroxylpropyl cellulose (HPC) modified graphene oxide (GO)-based molecularly imprinted polymers (HPC-GO-MIP) have been developed as a solid phase extraction (SPE) material for the selective separation and extraction of podophyllotoxin. In this strategy, the cellulose with rich hydroxyl groups was introduced to form bi-functional monomers with methacrylic acid to provide more recognition sites for the improving of extraction efficiency, then GO was added as a two-dimensional substrate for MIP to improve the material morphology and surface area. The extraction performances of obtained HPC-GO-MIP material were tested, and the results prove its high efficiency and selectivity for podophyllotoxin extraction.

A quantum dot aptamer fluorescent sensor based on magnetic graphene oxide for the detection of zearalenone.

As an estrogenic mycotoxin found in a wide range of agricultural crops, the toxicity of zearalenone (ZEN) poses a serious risk to human health. Accordingly, to achieve rapid detection of zearalenone in complex samples, an aptamer fluorescence sensor based on magnetic graphene oxide was developed. Compared with traditional methods, this technique has the virtues of simple operation, low cost, and reliable performance.

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.

Concurrent and Continuous Prediction of Finger Kinetics and Kinematics via Motoneuron Activities.

Objective: Robust neural decoding of intended motor output is crucial to enable intuitive control of assistive devices, such as robotic hands, to perform daily tasks. Few existing neural decoders can predict kinetic and kinematic variables simultaneously. The current study developed a continuous neural decoding approach that can concurrently predict fingertip forces and joint angles of multiple fingers.