A transcriptome-wide association study integrating multi-omics bioinformatics and Mendelian randomization reveals the prognostic value of ADAMDEC1 in colon cancer.

An abundant amount of colon cancers is diagnosed every year, accounting for 9% of malignant tumors. Even with the progress of relevant research, the 5-year survival rate for colon cancer is still less than 60%, indicating that improving the prognosis of colon cancer is still a challenge that needs to be overcome. This study employed the algorithm "scissor" to integrate the single-cell sequencing data and bulk transcriptome data with prognosis information to predict prognosis-associated cells (PAC).

Targeting DTX2/UFD1-mediated FTO degradation to regulate antitumor immunity.

Here, we show that vitamin E succinate (VES) acts as a degrader for the mA RNA demethylase fat mass and obesity-associated protein (FTO), thus suppressing tumor growth and resistance to immunotherapy. FTO is ubiquitinated by its E3 ligase DTX2, followed by UFD1 recruitment and subsequent degradation in the proteasome. VES binds to FTO and DTX2, leading to enhanced FTO-DTX2 interaction, FTO ubiquitination, and degradation in FTO-dependent tumor cells.

Radiomics Harmonization in Ultrasound Images for Cervical Cancer Lymph Node Metastasis Prediction Using Cycle-GAN.

Ultrasound (US) based radiomics is susceptible to variations in scanners, sonographers. To retrospectively investigate the feasibility of an adapted cycle generative adversarial networks (CycleGAN) in the style transfer to improve US based radiomics in the prediction of lymph node metastasis (LNM) with images from multiple scanners for patients with early cervical cancer (ECC). The CycleGAN was firstly trained to transfer paired US phantom images from one US device to another one; the model was then further trained and tested with clinical US images of ECC by transferring images from four US devices to one specific device; finally, the adapted model was tested with its effects on the radiomics feature harmonization and accuracy of LNM prediction in US based radiomics for ECC patients.

Distributional uniformity quantification in heterogeneous prepared dishes combined the hyperspectral imaging technology with Moran's I: A case study of pizza.

Quality detection is critical in the development of prepared dishes, with distributional uniformity playing a significant role. This study used hyperspectral imaging (HSI) and Moran's I to quantify distributional uniformity, employing pizza as case. Pizza ingredients' spectra were collected, pre-processed with Detrended Fluctuation Analysis (DFA), Savitzky-Golay (SG) and Standard Normal Variate (SNV), and down-scaled with Principal Component Analysis (PCA).

6.7-8.1 µm tunable single-frequency difference frequency generation in ZGP for high-resolution spectroscopy.

Difference frequency generation (DFG) based tunable single-frequency mid-infrared (MIR) light sources are desirable for high-resolution spectroscopy, sensing, and imaging. In this work, we demonstrate a continuous-wave (CW) single-frequency DFG in a ZnGeP (ZGP) crystal driven by all-fiber near-infrared (NIR) fiber lasers, for the first time to our knowledge. The all-fiber NIR laser sources consist of a 1.

Preparation and characterization of andrographolide nano-cocrystals using hummer acoustic resonance technology.

Andrographolide (AG) is a diterpene lactone with significant anti-inflammatory and antitumor activities. However, the poor water solubility limits its clinical application. An andrographolide-salicylic acid (AG-SLA) nano-cocrystal delivery system was rapidly developed using hummer acoustic resonance (HAR) technology in this research.

Portable Raman spectroscopy and fourier transform near infrared spectroscopy for the quantification of different sinomenine hydrochloride crystal forms.

The objective of this paper is to rapidly and accurately quantify the content of the dominant crystal form of Sinomenine hydrochloride (SH) and to evaluate the respective characteristics of Raman spectroscopy and Fourier transform near infrared spectroscopy techniques for rapid quantification of crystalline substances. In this study, we performed an adulterated gradient quantification based on two new crystalline forms of SH prepared in the laboratory in combination with commercially available products. And established 86 samples containing 66 batches of ternary and 20 batches of binary mixtures.

Fractionation and tidal characteristics of per- and polyfluoroalkyl substances in the estuarine maximum turbidity zone.

Complex tidal processes and suspended particulate matter (SPM) behavior influence the land-sea transport of terrestrial contaminants in estuaries. Contaminants are generally trapped within the estuarine maximum turbidity zone (MTZ), where SPM concentrations peak, misleading flux estimation. Here, we conducted high-resolution continuous sampling over two tidal cycles within the MTZ of a semidiurnal estuary.

A Machine Learning-Based Approach for the Prediction of Anticoagulant Activity of Hypericum perforatum L. and Evaluation of Compound Activity.

Introduction: Hypericum perforatum L. (HPL) is extensively researched domestically and internationally as a medicinal plant. However, no reports of studies related to the anticoagulant activity of HPL have been retrieved.

Radiomics-guided generative adversarial network for automatic primary target volume segmentation for nasopharyngeal carcinoma using computed tomography images.

Background: Automatic primary gross tumor volume (GTVp) segmentation for nasopharyngeal carcinoma (NPC) is a quite challenging task because of the existence of similar visual characteristics between tumors and their surroundings, especially on computed tomography (CT) images with severe low contrast resolution. Therefore, most recently proposed methods based on radiomics or deep learning (DL) is difficult to achieve good results on CT datasets.

Purpose: A peritumoral radiomics-guided generative adversarial network (PRG-GAN) was proposed to address this challenge.

Advancing characterization of VOC diffusion in indoor fabrics: A dual-porosity modeling approach.

Volatile organic compounds (VOCs) are major chemical pollutants in indoor air. Indoor fabrics, such as curtains, carpets, sofas, and clothes, strongly adsorb VOCs due to their high loading rates and large specific surface areas. The desorption of VOCs from these fabrics can act as a secondary source, worsening indoor air pollution and prolonging its effects.

An Integrated Approach to Identify the Q-Markers of Banxia-Houpo Decoction Based on Nontargeted Multicomponent Profiling, Network Pharmacology, and Chemometrics.

Introduction: The inherent complexity of traditional Chinese medicine (TCM) poses significant challenges in directly correlating quality evaluation with clinical efficacy. Banxia-Houpo Decoction (BHD), a classical TCM formula, has demonstrated efficacy in treating globus hystericus. However, the intricate composition of BHD, which contains both volatile and non-volatile active components, complicates efforts to ensure its consistent quality and clinical effectiveness.

Differential Occupational Health Risks between Methylated PAHs and PAHs: Monitoring 126 PAHs and 6 Oxidative Stress Markers in Paired Serum-Urine Samples.

The hazards of polycyclic aromatic hydrocarbons (PAHs) on occupationally exposed population have been widely acknowledged. However, the occupational exposure risks associated their derivatives, methylated PAHs, remain poorly understood. This study conducted a screen of 126 PAHs and 6 oxidative stress biomarkers (OSBs) in paired serum-urine samples from 110 petrochemical workers to assess the risk associated with different PAHs exposure.

Optimization of polishing fluid composition for single crystal silicon carbide by ultrasonic assisted chemical-mechanical polishing.

Silicon carbide (SiC) is renowned for its exceptional hardness, thermal conductivity, chemical stability, and wear resistance. However, the existing process is difficult to meet the high standards of uniform corrosion in its polishing process and surface roughness and flatness after polishing, new polishing fluids and technique optimization are crucial for development. The study optimized and validated the composition of the polishing fluid used in ultrasonic-assisted chemical-mechanical polishing (UACMP).

Efficient Uranium Removal from Aqueous Solutions Using Silica-Based Adsorbents Functionalized with Various Polyamines.

With the rapid development of nuclear energy, the contamination of environmental water systems by uranium has become a significant threat to human health. To efficiently remove uranium from these systems, three types of silica-based polyamine resins-SiPMA-DETA (SiPMA: silica/poly methyl acrylate; DETA: diethylenetriamine), SiPMA-TETA (TETA: triethylenetetramine), and SiPMA-TEPA (TEPA: tetraethylenepentamine)-were successfully prepared, characterized, and evaluated in batch experiments. Characterization results showed that the silica-based polyamine resins were successfully prepared, and they exhibited a uniform shape and high specific surface area.

Innovative cellulose-lactone hybrid material for efficient rhodamine 6G dye adsorption: Synthesis and characterization.

This study uses a simple solvent casting technique to offer an innovative, cost-effective synthesis of a cellulose-lactone hybrid material for Rhodamine 6G dye adsorption. The modified cellulose revealed superior adsorption competencies, triumphing a maximum dye removal efficiency of 97.8 % under neutral pH.

In vitro digestion and fermentation of polysaccharides from nine common Polygonatum spp. and their impact on human gut microbiota.

This study aimed to investigate the dynamic changes in the physicochemical properties of polysaccharides from nine common Polygonatum spp. during in vitro simulated saliva-gastrointestinal digestion, in vitro fermentation, and their subsequent effects on human gut microbiota. Results revealed that the total sugar contents of Polygonatum spp.

Developing diagnostic biomarkers for Alzheimer's disease based on histone lactylation-related gene.

Background: Research underscores the significant influence of histone lactylation pathways in the progression of Alzheimer's disease (AD), though the molecular mechanisms associated with histone lactylation-related genes (HLRGs) in AD are still insufficiently investigated.

Methods: This study employed datasets GSE85426 and GSE97760 to identify candidate genes by intersecting weighted gene co-expression network analysis (WGCNA) module genes with AD-control differentially expressed genes (DEGs). Subsequently, machine learning refined key genes, validated by receiver operating characteristic (ROC) curve performance.

Cancer-Associated Fibroblasts: From Spectators to Protagonists in Pancreatic Cancer Progression.

Our knowledge of the origins, heterogeneity, and functions of cancer-associated fibroblasts (CAF) in pancreatic ductal adenocarcinoma (PDAC) has exponentially increased over the last two decades. This has been facilitated by the implementation of new models and single-cell technologies. However, a few key studies preceded the current exciting times in CAF research and were fundamental in initiating the investigation of CAFs and of their roles in PDAC.