Multicohort Analysis of Bronchial Epithelial Cell Expression in Healthy Subjects and Patients with Asthma Reveals Four Clinically Distinct Clusters.

Asthma is a heterogeneous disease with variable presentation and characteristics. There is a critical need to identify underlying molecular endotypes of asthma. We performed the largest transcriptomic analysis of 808 bronchial epithelial cell (BEC) samples across 11 independent cohorts, including 3 cohorts from the Severe Asthma Research Program (SARP).

Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier.

Introduction: This study aimed to devise a diagnostic algorithm, termed the Refined Radiomics and Deep Learning Features-Guided CatBoost Classifier (RRDLC-Classifier), and evaluate its efficacy in predicting pathological high-grade patterns in patients diagnosed with clinical stage I solid lung adenocarcinoma (LADC).

Methods: In this retrospective study, a total of 371 patients diagnosed with clinical stage I solid LADC were randomly categorized into training and validation sets in a 7:3 ratio. Uni- and multivariate logistic regression analyses were performed to examine the imaging findings that can be used to predict pathological high-grade patterns meticulously.

Research on Multi-Scale Spatio-Temporal Graph Convolutional Human Behavior Recognition Method Incorporating Multi-Granularity Features.

Aiming at the problem that the existing human skeleton behavior recognition methods are insensitive to human local movements and show inaccurate recognition in distinguishing similar behaviors, a multi-scale spatio-temporal graph convolution method incorporating multi-granularity features is proposed for human behavior recognition. Firstly, a skeleton fine-grained partitioning strategy is proposed, which initializes the skeleton data into data streams of different granularities. An adaptive cross-scale feature fusion layer is designed using a normalized Gaussian function to perform feature fusion among different granularities, guiding the model to focus on discriminative feature representations among similar behaviors through fine-grained features.

At-RS31 orchestrates hierarchical cross-regulation of splicing factors and integrates alternative splicing with TOR-ABA pathways.

Alternative splicing is essential for plants, enabling a single gene to produce multiple transcript variants to boost functional diversity and fine-tune responses to environmental and developmental cues. At-RS31, a plant-specific splicing factor in the Serine/Arginine (SR)-rich protein family, responds to light and the Target of Rapamycin (TOR) signaling pathway, yet its downstream targets and regulatory impact remain unknown.To identify At-RS31 targets, we applied individual-nucleotide resolution crosslinking and immunoprecipitation (iCLIP) and RNAcompete assays.

Chinese guidelines for minimally invasive donor hepatectomy in living donor liver transplantation (2024 edition).

Background: Minimally invasive surgeries are increasingly central to modern medicine, particularly in liver transplantation. These techniques, which offer reduced trauma, precise operations, minimal bleeding, and swift recovery, are, however, unevenly adopted across China. Only a limited number of centers routinely perform minimally invasive donor hepatectomies, indicating a significant imbalance in the development and application of these advanced procedures.

The complete genomic sequence of Magnaporthe oryzae polymycovirus 1.

A novel double-stranded RNA virus, designated as "Magnaporthe oryzae polymycovirus 1" (MoPmV1), was identified in Magnaporthe oryzae strain TM02. MoPmV1 has four dsRNA fragments, ranging from 1324 to 2401 bp in length. DsRNA1, 2, and 3 of MoPmV1 each possess a single large open reading frame (ORF), whereas dsRNA4 contains two ORFs.

Integrated multi-omics and machine learning reveal a gefitinib resistance signature for prognosis and treatment response in lung adenocarcinoma.

Gefitinib resistance (GR) presents a significant challenge in treating lung adenocarcinoma (LUAD), highlighting the need for alternative therapies. This study explores the genetic basis of GR to improve prediction, prevention, and treatment strategies. We utilized public databases to obtain GR gene sets, single-cell data, and transcriptome data, applying univariate and multivariate regression analyses alongside machine learning to identify key genes and develop a predictive signature.

International multi-cohort analysis identifies novel framework for quantifying immune dysregulation in critical illness: results of the SUBSPACE consortium.

Progress in the management of critical care syndromes such as sepsis, Acute Respiratory Distress Syndrome (ARDS), and trauma has slowed over the last two decades, limited by the inherent heterogeneity within syndromic illnesses. Numerous immune endotypes have been proposed in sepsis and critical care, however the overlap of the endotypes is unclear, limiting clinical translation. The SUBSPACE consortium is an international consortium that aims to advance precision medicine through the sharing of transcriptomic data.

GHT-SELEX demonstrates unexpectedly high intrinsic sequence specificity and complex DNA binding of many human transcription factors.

A long-standing challenge in human regulatory genomics is that transcription factor (TF) DNA-binding motifs are short and degenerate, while the genome is large. Motif scans therefore produce many false-positive binding site predictions. By surveying 179 TFs across 25 families using >1,500 cyclic selection experiments with fragmented, naked, and unmodified genomic DNA - a method we term GHT-SELEX (Genomic HT-SELEX) - we find that many human TFs possess much higher sequence specificity than anticipated.

Extensive binding of uncharacterized human transcription factors to genomic dark matter.

Most of the human genome is thought to be non-functional, and includes large segments often referred to as "dark matter" DNA. The genome also encodes hundreds of putative and poorly characterized transcription factors (TFs). We determined genomic binding locations of 166 uncharacterized human TFs in living cells.

Sensitivity and Specificity of Chimerism Tests in Predicting Leukemia Relapse Using Increasing Mixed Chimerism.

Chimerism test was evaluated to predict leukemia relapse. Increasing mixed chimerism (IMC), defined as recipient increase ≥0.1% in peripheral blood total cell chimerism, was used as a surrogate of disease activity.

Sialylated IgG induces the transcription factor REST in alveolar macrophages to protect against lung inflammation and severe influenza disease.

While most respiratory viral infections resolve with little harm to the host, severe symptoms arise when infection triggers an aberrant inflammatory response that damages lung tissue. Host regulators of virally induced lung inflammation have not been well defined. Here, we show that enrichment for sialylated, but not asialylated immunoglobulin G (IgG), predicted mild influenza disease in humans and was broadly protective against heterologous influenza viruses in a murine challenge model.

All-dielectric structural coloration empowered by bound states in the continuum.

The technological requirements of low-power and high-fidelity color displays have been instrumental in driving research into advanced coloration technologies. At the forefront of these developments is the implementation of dye-free approaches, which overcome previous constraints related to color resolution and fading. Resonant dielectric nanostructures have emerged as a promising paradigm, showing great potential for high efficiency, high color saturation, wide gamut palette, and image reproduction.

Downregulation of neuronal nitric oxide synthase (nNOS) within the paraventricular nucleus in Ins2-type-1 diabetic mice contributes to sympatho-excitation.

Activation of both renin-angiotensin system (RAS) and the sympathetic system is the primary etiologic event in developing cardiovascular complications in diabetes mellitus (DM). However, the precise mechanisms for sympathetic activation in DM have not been elucidated. Here we attempted to investigate diabetes-linked cardiovascular dysregulation due to angiotensin II (Ang II)-mediated reduction in neuronal nitric oxide (NO) synthase (nNOS) within the paraventricular neuleus (PVN).

Using hyperspectral imaging to predict the occurrence of delayed graft function.

Delayed Graft Function (DGF) is a prevalent complication in kidney transplantation (KT) that significantly affects allograft function and patient prognosis. Early and precise identification of DGF is crucial for improving post-transplant outcomes. In this study, we present KGnet, a predictive model leveraging hyperspectral imaging (HSI) to assess delayed graft function status.

The Role of Disgust Certainty in Intuitive Thought Processing: Electrophysiological Evidence.

Introduction: The impact of emotions on intuitive and analytical thinking has been widely studied. Most research suggests that negative emotions enhance analytical processing. However, there are studies indicating that the sense of certainty associated with disgust can stimulate intuitive processing.

Reconstructing the sequence specificities of RNA-binding proteins across eukaryotes.

RNA-binding proteins (RBPs) are key regulators of gene expression. Here, we introduce EuPRI (Eukaryotic Protein-RNA Interactions) - a freely available resource of RNA motifs for 34,736 RBPs from 690 eukaryotes. EuPRI includes binding data for 504 RBPs, including newly collected RNAcompete data for 174 RBPs, along with thousands of reconstructed motifs.

A preliminary study on the effects of Xiang Shao granules on reproductive endocrinology in drugged ovariectomised rats.

Objective: To establish a rat model of pharmacological ovariectomy by GnRH-a injection and to preliminarily investigate the reproductive endocrine effects of Xiangshao granules on pharmacologically ovariectomized rats.

Methods: A rat model of pharmacological ovariectomy was established by injecting female rats with Gonadotropin-releasing hormone agonist(GnRH-a).The rats were randomly divided into four groups: GnRH-a injected saline group (GnRH-a + NS); GnRH-a injected oestradiol group (GnRH-a + E2); GnRH-a injected Xiangshao granule group (GnRH-a + Xiangshao), and the control group of saline-injected rats (NS + NS).