Burdock Tea Affects Pulmonary Microbiota and Physiology Through Short-Chain Fatty Acids in Wistar Rats.

The impact of burdock tea (BT) made from burdock () roots in normal individuals and animal models remains largely unknown, particularly on lung protection. This study examined responses of oxidative stress, inflammation, and the microbiota within the cecum and the lung to BT treatment in healthy Wistar rats. A middle-dose BT reduced the Chao1 and Shannon indices, and both low and middle doses induced structural alterations in the cecal microbiota.

SurvGraph: A hybrid-graph attention network for survival prediction using whole slide pathological images in gastric cancer.

Whole slide pathological images have shown significant potential for patient prognostication. Graph representation learning provides a robust framework for in-depth analysis of whole-slide images to construct predictive models. In this study, we introduce SurvGraph, an innovative graph-based deep learning network designed for gastric cancer survival prediction using whole slide pathological images.

Multimodal fusion of radio-pathology and proteogenomics identify integrated glioma subtypes with prognostic and therapeutic opportunities.

Integrating multimodal data can uncover causal features hidden in single-modality analyses, offering a comprehensive understanding of disease complexity. This study introduces a multimodal fusion subtyping (MOFS) framework that integrates radiological, pathological, genomic, transcriptomic, and proteomic data from 122 patients with IDH-wildtype adult glioma, identifying three subtypes: MOFS1 (proneural) with favorable prognosis, elevated neurodevelopmental activity, and abundant neurocyte infiltration; MOFS2 (proliferative) with the worst prognosis, superior proliferative activity, and genome instability; MOFS3 (TME-rich) with intermediate prognosis, abundant immune and stromal components, and sensitive to anti-PD-1 immunotherapy. STRAP emerges as a prognostic biomarker and potential therapeutic target for MOFS2, associated with its proliferative phenotype.

Pre-Operative Overall Survival Prediction of Diffuse Glioma Enhanced by Longitudinal Data.

Many pre-operative overall survival (OS) prediction methods have been proposed to assist personalized treatment of diffuse glioma for better prognosis. Most of them utilize pre-operative data, while post-operative data, which contains essential prognosis-related information (e.g.

Enantioselective Acylation of Benzylic C(sp)-H Bond Enabled by a Cooperative Photoredox and N-Heterocyclic Carbene Catalysis.

Organocatalyzed direct and asymmetric functionalization of benzylic C(sp)─H bond is attractive yet challenging. Herein, we report the enantioselective acylation of benzylic C(sp)─H bond via a cooperative photoredox and N-heterocyclic carbene (NHC) catalysis, affording the corresponding chiral α-aryl ketones in moderate to good yields with good to excellent enantioselectivities (up to 99:1 er). The rational design of novel NHCs guided by the initial evaluation of available catalysts and their application promotes the asymmetric transformation.

Reduced DTI-ALPS index in tinnitus patients: DTI-ALPS as a mediator of sleep on tinnitus.

Background: Sleep disturbance is a common comorbidity in tinnitus patients, which may be attributed to changes in brain structure and function. The aim of this study was to explore the potential role of the glymphatic system (GS), a recently discovered pathway for brain waste clearance, in tinnitus and the associated sleep disturbance.

Methods: The DTI-ALPS index of 22 tinnitus patients and 22 healthy controls (18-60 years old) were compared after controlling for age, sex, and handedness.

IDH-mutant glioma risk stratification via whole slide images: Identifying pathological feature associations.

This article aims to develop and validate a pathological prognostic model for predicting prognosis in patients with isocitrate dehydrogenase (IDH)-mutant gliomas and reveal the biological underpinning of the prognostic pathological features. The pathomic model was constructed based on whole slide images (WSIs) from a training set ( = 486) and evaluated on internal validation set ( = 209), HPPH validation set ( = 54), and TCGA validation set ( = 352). Biological implications of PathScore and individual pathomic features were identified by pathogenomics set ( = 100).

Extraction of tiger nut oil using ultrasound-assisted immiscible binary solvents and its effect on the quality of extracted oil and starch.

Tiger nuts are rich in both oil and starch. In this paper, an immiscible binary solvent consisted of water and hexane was used to separate oil and starch from tiger nut with the assistance of ultrasound. The effects of various factors including ultrasonic power, ultrasonic time, extraction temperature, water-hexane ratio and solid-liquid ratio on the oil yield were examined.

Habitat Imaging With Tumoral and Peritumoral Radiomics for Prediction of Lung Adenocarcinoma Invasiveness on Preoperative Chest CT: A Multicenter Study.

Tumor growth processes result in spatial heterogeneity, with the development of tumor subregions (i.e., habitats) having unique biologic characteristics.

Four new guaiane sesquiterpenes from Agarwood of Aquilaria sinensis and their biological activity toward renal fibrosis.

Four undescribed guaiane sesquiterpenes, aquisinenoids I-L (2-5) and five known compounds were isolated from the resins of Aquilaria sinensis. Their structures were deduced based on spectroscopic data analysis, X-ray crystallography and ECD calculations. Biologically, compounds 1, 5, 6 and 9 showed anti-renal fibrosis activity, significantly reducing the levels of fibronectin, collagen I, and α-SMA.

Effect of electroacupuncture of "Zusanli" (ST36) combined with capeOX on apoptosis and ferroptosis in nude mice with colorectal cancer.

Objectives: To investigate the impact of combined treatment of colorectal cancer (CRC) with electroacupuncture (EA) and capeOX (combined administration of fluorouracil, oxaliplatin and capecitabine) on the tumor volume, weight, spleen coefficient, apoptosis and ferroptosis of tumor tissue, and liver and kidney functions in nude mice with CRC, so as to explore its mechanisms underlying inhibiting CRC and alleviating toxic reactions of capeOX.

Methods: Female Balb/c nude mice were randomly assigned to 3 groups：model, capeOX, and EA+capeOX, with 8 nude mice in each group. The CRC model was established by subcutaneous injection of colon cancer cells at the right inguinal region.

Neighborhood evaluator for efficient super-resolution reconstruction of 2D medical images.

Background: Deep learning-based super-resolution (SR) algorithms aim to reconstruct low-resolution (LR) images into high-fidelity high-resolution (HR) images by learning the low- and high-frequency information. Experts' diagnostic requirements are fulfilled in medical application scenarios through the high-quality reconstruction of LR digital medical images.

Purpose: Medical image SR algorithms should satisfy the requirements of arbitrary resolution and high efficiency in applications.

Computational Pathology for Prediction of Isocitrate Dehydrogenase Gene Mutation from Whole Slide Images in Adult Patients with Diffuse Glioma.

Isocitrate dehydrogenase gene (IDH) mutation is one of the most important molecular markers of glioma. Accurate detection of IDH status is a crucial step for integrated diagnosis of adult-type diffuse gliomas. Herein, a clustering-based hybrid of a convolutional neural network and a vision transformer deep learning model was developed to detect IDH mutation status from annotation-free hematoxylin and eosin-stained whole slide pathologic images of 2275 adult patients with diffuse gliomas.

Semi-supervised Medical Image Segmentation with Multiscale Contrastive Learning and Cross-Supervision.

We propose a semi-supervised segmentation method based on multiscale contrastive learning to solve the problem of shortage of annotations in medical image segmentation tasks. We apply perturbations to the input image and encoded features and make the output as consistent as possible by cross-supervision, which is a way to improve the generalizability of the model. Two scales of contrastive learning, patch-level and pixel-level, are employed to enhance the intra-class compactness and inter-class separability of the features.

Effect of Food Restriction on Food Grinding in Brandt's Voles.

Food grinding is supposed to be influenced by multiple factors. However, how those factors affecting this behavior remain unclear. In this study, we investigated the effect of food restriction on food grinding in Brandt's voles (), as well as the potential role of the gut microbiota in this process, through a comparison of the variations between voles with different food supplies.

Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images.

Current diagnosis of glioma types requires combining both histological features and molecular characteristics, which is an expensive and time-consuming procedure. Determining the tumor types directly from whole-slide images (WSIs) is of great value for glioma diagnosis. This study presents an integrated diagnosis model for automatic classification of diffuse gliomas from annotation-free standard WSIs.

A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer.

Background: Accurate prediction of lymph node metastasis stage (LNMs) facilitates precision therapy for gastric cancer. We aimed to develop and validate a deep learning-based radio-pathologic model to predict the LNM stage in patients with gastric cancer by integrating CT images and histopathological whole-slide images (WSIs).

Methods: A total of 252 patients were enrolled and randomly divided into a training set (n = 202) and a testing set (n = 50).

Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomas.

Background: We aimed to develop machine learning models for prediction of molecular subgroups (low-risk group and intermediate/high-risk group) and molecular marker (KIAA1549-BRAF fusion) of pediatric low-grade gliomas (PLGGs) based on radiomic features extracted from multiparametric MRI.

Methods: 61 patients with PLGGs were included in this retrospective study, which were divided into a training set and an internal validation set at a ratio of 2:1 based on the molecular subgroups or the molecular marker. The patients were classified into low-risk and intermediate/high-risk groups, BRAF fusion positive and negative groups, respectively.

Recognizing Pediatric Tuberous Sclerosis Complex Based on Multi-Contrast MRI and Deep Weighted Fusion Network.

Multi-contrast magnetic resonance imaging (MRI) is wildly applied to identify tuberous sclerosis complex (TSC) children in a clinic. In this work, a deep convolutional neural network with multi-contrast MRI is proposed to diagnose pediatric TSC. Firstly, by combining T2W and FLAIR images, a new synthesis modality named FLAIR was created to enhance the contrast between TSC lesions and normal brain tissues.

-Heterocyclic Carbene-Catalyzed Atroposelective Synthesis of Axially Chiral α-Carbolinones via Heterocycle Formation.

An NHC-catalyzed atroposelective synthesis of axially chiral α-carbolinones from α,β-unsaturated iminoindole derivatives and α-chloroaldehydes was developed. The reaction proceeds through a cascade process including [4 + 2] annulation and then oxidative dehydrogenation with concomitant central-to-axial chirality conversion under mild conditions. The developed method opens a new avenue to efficiently access axially chiral α-carbolinones in moderate to good enantioselectivities.

Pharmacological targeting of Axin2 suppresses cell growth and metastasis in colorectal cancer.

Background And Purpose: The scaffold molecule Axin2 is constitutively activated in colorectal cancer (CRC) and functions as a potent promoter of CRC behaviour. Pharmacological targeting of Axin2 may therefore exert a therapeutic effect in patients with CRC. Here, we discovered a potent small-molecule inhibitor of Axin2, based on the mechanism by which Axin2 is regulated post-translationally, and investigated its antitumour effects.

Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: A multicenter study.

Tumor subtyping based on its immune landscape may guide precision immunotherapy. The aims of this study were to identify immune subtypes of adult diffuse gliomas with RNA sequencing data, and to noninvasively predict this subtype using a biologically interpretable radiomic signature from MRI. A subtype discovery dataset (n = 210) from a public database and two radiogenomic datasets (n = 130 and 55, respectively) from two local hospitals were included.

Glutathione metabolism in Cryptocaryon irritans involved in defense against oxidative stress induced by zinc ions.

Background: Cryptocaryon irritans is a fatal parasite for marine teleosts and causes severe economic loss for aquaculture. Galvanized materials have shown efficacy in controlling this parasite infestation through the release of zinc ions to induce oxidative stress.

Methods: In this study, the resistance mechanism in C.