Nickel-based nanomaterials: a comprehensive analysis of risk assessment, toxicity mechanisms, and future strategies for health risk prevention.

Nickel-based nanomaterials (NBNs) have seen a surge in usage across a variety of applications. However, the widespread use of NBNs has led to increased human exposure, raising questions about their associated health risks, both in the short and long term. Additionally, the spread of NBNs in the environment has attracted considerable attention, emerging as a vital focus for research and development.

Automatic and integrated detection of nucleic acid by using a dual-mode thermal controlled digital microfluidic chip.

The detection of nucleic acids, which typically consists of nucleic acid extraction, reverse transcription and amplification, is a crucial component of molecular diagnostics. However, traditional methods have several limitations, including high reliance on skilled personnel, low degree of automation and lengthy assay times. Additionally, these methods also require separate areas for the different steps to avoid contamination.

Myelin Sheath-Inspired Hydrogel Electrode for Artificial Skin and Physiological Monitoring.

Significant advancements in hydrogel-based epidermal electrodes have been made in recent years. However, inherent limitations, such as adaptability, adhesion, and conductivity, have presented challenges, thereby limiting the sensitivity, signal-to-noise ratio (SNR), and stability of the physiological-electrode interface. In this study, we propose the concept of myelin sheath-inspired hydrogel epidermal electronics by incorporating numerous interpenetrating core-sheath-structured conductive nanofibers within a physically cross-linked polyelectrolyte network.

DNA-DISK: Automated end-to-end data storage via enzymatic single-nucleotide DNA synthesis and sequencing on digital microfluidics.

In the age of information explosion, the exponential growth of digital data far exceeds the capacity of current mainstream storage media. DNA is emerging as a promising alternative due to its higher storage density, longer retention time, and lower power consumption. To date, commercially mature DNA synthesis and sequencing technologies allow for writing and reading of information on DNA with customization and convenience at the research level.

An aberration-free line scan confocal Raman imager and type classification and distribution detection of microplastics.

An aberration-free line scanning confocal Raman imager (named AFLSCRI) is developed to achieve rapid Raman imaging. As an application example, various types and sizes of MPs are identified through Raman imaging combined with a machine learning algorithm. The system has excellent performance with a spatial resolution of 2 µm and spectral resolution of 4 cm.

Label-free analysis of the β-hydroxybutyricacid drug on mitochondrial redox states repairment in type 2 diabetic mice by resonance raman scattering.

Background: Mitochondrial redox imbalance underlies the pathophysiology of type2 diabetes mellitus (T2DM), and is closely related to tissue damage and dysfunction. Studies have shown the beneficial effects of dietary strategies that elevate β-hydroxybutyrate (BHB) levels in alleviating T2DM. Nevertheless, the role of BHB has not been clearly elucidated.

MMCT-Loop: a mix model-based pipeline for calling targeted 3D chromatin loops.

Protein-specific Chromatin Conformation Capture (3C)-based technologies have become essential for identifying distal genomic interactions with critical roles in gene regulation. The standard techniques include Chromatin Interaction Analysis by Paired-End Tag (ChIA-PET), in situ Hi-C followed by chromatin immunoprecipitation (HiChIP) also known as PLAC-seq. To identify chromatin interactions from these data, a variety of computational methods have emerged.

GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information.

Identifying drug-target affinity (DTA) has great practical importance in the process of designing efficacious drugs for known diseases. Recently, numerous deep learning-based computational methods have been developed to predict drug-target affinity and achieved impressive performance. However, most of them construct the molecule (drug or target) encoder without considering the weights of features of each node (atom or residue).

A low-temperature digital microfluidic system used for protein-protein interaction detection.

The occurrence, development and prediction of various biological processes and diseases are inseparable from the protein-protein interaction (PPI), so it is extremely meaningful to perfect PPI networks. However, shortcomings of traditional detection methods, such as protein degradation, long detection time, complex operation, poor automation and high cost, restrict the rapid development of PPI networks. Here, a low-temperature digital microfluidic (LTDMF) system-based PPI detection box (LTDMF-PPI-Box) was developed to achieve rapid, lossless and efficient PPI detection.

A capillary-based microfluidic chip with the merits of low cost and easy fabrication for the rapid detection of acute myocardial infarction.

Point-of-care testing methods currently utilize rapid, portable, inexpensive, and multiplexed on-site detection. Microfluidic chips have become a very promising platform with broad development prospects due to their breakthrough improvement in miniaturization and integration. However, the conventional microfluidic chips still have disadvantages, such as difficulty in fabrication processing, long production time and high cost, which hinder its applications in the fields of POCT and in vitro diagnostics.

Molecular mechanism of XB130 adaptor protein mediates trastuzumab resistance in gastric cancer.

Background: Recent studies have shown that the activation of PI3K/AKT signaling pathway is an essential molecular mechanism participating in trastuzumab resistance in HER2 + GC (gastric cancer). However, how can we effectively inhibit AKT activity associated with drug resistance during trastuzumab treatment? Screening inhibitors against the upstream receptors of PI3K/AKT signaling pathway or interacting proteins of members has become an important way.

Methods: In this study, western blot, qRT-PCR, CCK8, Co-IP and other techniques were used to explore possible mechanisms participating in trastuzumab resistance in vitro.

Detecting the research trends and evolution of energy resilience: a bibliometric analysis.

The concept of resilience is widely used in many specific fields, such as energy. Energy resilience is receiving increasing scientific attention. In the long-term sustainable development of society, energy and resilience policies are the key strategies to achieve international development goals.

4D dual-mode staring hyperspectral-depth imager for simultaneous spectral sensing and surface shape measurement.

A 4D dual-mode staring hyperspectral-depth imager (DSHI), which acquire reflectance spectra, fluorescence spectra, and 3D structural information by combining a staring hyperspectral scanner and a binocular line laser stereo vision system, is introduced. A 405 nm laser line generated by a focal laser line generation module is used for both fluorescence excitation and binocular stereo matching of the irradiated line region. Under the configuration, the two kinds of hyperspectral data collected by the hyperspectral scanner can be merged into the corresponding points in the 3D model, forming a dual-mode 4D model.

MultiscaleDTA: A multiscale-based method with a self-attention mechanism for drug-target binding affinity prediction.

The task of predicting drug-target affinity (DTA) plays an increasingly important role in the early stage of in silico drug discovery and development. Currently, a variety of machine learning-based methods have been presented for DTA prediction and achieved outstanding performance, which is beneficial for speeding up the development of new drugs. However, most convolutional neural networks (CNNs) based methods ignore the significance of information from CNN layers with different scales for DTA prediction.

MiR-623 links lncRNA RP11-89 and cyclin D1 to regulate the proliferation of glioblastoma cells.

Purpose: The tumorigenesis of bladder cancer has been proven to be related to the increased expression of lncRNA RP11-89, the participation of which in glioblastoma (GBM) is unknown. We predicted that RP11-89 could be targeted by miR-623, which targets cyclin D1. We then analyzed the role of RP11-89 in GBM.

miR-301a-3p induced by endoplasmic reticulum stress mediates the occurrence and transmission of trastuzumab resistance in HER2-positive gastric cancer.

Trastuzumab resistance negatively influences the clinical efficacy of the therapy for human epidermal growth factor receptor 2 (HER2) positive gastric cancer (GC), and the underlying mechanisms remain elusive. Exploring the mechanisms and finding effective approaches to address trastuzumab resistance are of great necessity. Here, we confirmed that endoplasmic reticulum (ER) stress-induced trastuzumab resistance by up-regulating miR-301a-3p in HER2-positive GC cells.

Study on degradation of diesel pollutants in seawater by composite photocatalyst MnO/ZrO.

In this paper, the effectiveness of the composite photocatalyst was studied by using manganese dioxide (MnO)/zirconium dioxide (ZrO) to degrade diesel pollutants in seawater under visible light.The MnO/ZrO photocatalyst was prepared by co-precipitation and characterized by scanning electron microscopy, X-ray powder diffraction, energy-dispersive spectroscopy and UV-Vis diffuse reflectance spectroscopy analysis. This is the first report on a comprehensive analytical study on the effect of various physio-chemical parameters on diesel degradation using the synthesized MnO/ZrO photocatalysts.

Application of FeO/ZrO loaded polyhedron ball on photocatalytic degradation of diesel pollutants in seawater under visible light.

FeO/ZrO nanocomposite photocatalyst was successfully prepared by coprecipitation method for the degradation of diesel pollutants in seawater under visible light. The effects of doping ratio, calcination temperature, photocatalyst dosage, initial diesel concentration, HO concentration, and reaction time on the photocatalytic removal efficiency were investigated. Moreover, the optimal conditions for FeO/ZrO nanocomposite photocatalyst to degrade marine diesel pollution were determined.

Photocatalytic degradation of marine diesel oil spills using composite CuO/ZrO under visible light.

Diesel oil spills in marine environments pose a severe threat to both aquatic and terrestrial ecosystems. Photocatalysis is an environment-friendly method for marine oil remediation; however, its practical usage is limited due to several issues. In this study, we demonstrate the enhanced efficacy of doped CuO/ZrO photocatalyst at degrading marine diesel in comparison to undoped ZrO.

Adsorption of chlortetracycline from aquaculture wastewater using modified zeolites.

In this study, lanthanum modified zeolite (La-Z) was used to adsorb chlortetracycline (CTC) from aquaculture wastewater. La-Z was characterized by SEM, TEM, EDS, XRD, FTIR and BET. The effects various factors on the adsorption of CTC by La-Z were investigated, including the lanthanum modification concentration on zeolites, the dosage of La-Z, solution pH and reaction time.

Autofluorescence-Free Immunoassay Using X-ray Scintillating Nanotags.

Autofluorescence background in complex biological samples is a major challenge in achieving high sensitivity of fluorescence immunoassays (FIA). Here we report an X-ray luminescence-based immunoassay for high-sensitivity detection of biomarkers using X-ray scintillating nanotags. Due to the weak scattering and absorption of most biological chromophores by X-ray excitation, a low-dose X-ray source can be used to produce intense scintillating luminescence from the nanotags for autofluorescence-free biosensing.

Expression of Connexin43 in Cerebral Arteries of Patients with Moyamoya Disease.

Background And Purpose: Moyamoya disease has a high incidence of cerebral vascular accident in children and adolescents, which can endanger the physical and mental health of children and adults seriously. However, the etiology and the pathogenesis of moyamoya disease remain unclear. Connexin43 (Cx43) is a predominant intercellular gap junction protein that plays an important role in the normal function of arteries and the development of several cardiovascular diseases.