A nomogram for the prediction of co-infection in MDA5 dermatomyositis: A rapid clinical assessment model.

Background: Patients with anti-melanoma differentiation-associated gene 5-positive dermatomyositis (MDA5 DM) are prone to infections, but there is a lack of rapid methods to assess infection risk, which greatly affects patient prognosis. This study aims to analyze the clinical features of MDA5 DM patients systematically and develop a predictive model for infections.

Methods: Retrospective analysis was performed on clinical data from 118 hospitalized patients with MDA5 DM.

Transcriptome analysis of regenerated dermis stimulated by mechanical stretch.

Background: Mechanical stretch is utilized in the process of tissue expansion to promote skin regeneration, which is crucial for wound healing and organ reconstruction purposes. Enlarged dermal area is one of the significant histological characteristics of the expanded skin. However, the underlying biological processes and molecular pathways associated with dermal regeneration triggered by mechanical stretch are still not well understood.

Comprehensive analysis of protein post-translational modifications reveals PTPN2-STAT1-AOX axis-mediated tumor progression in hepatocellular carcinomas.

Hepatocellular carcinoma (HCC) is a common malignant tumor. Although the proteomics of HCC is well studied, the landscape of post-translational modifications (PTMs) in HCC is poorly understood. The PTMs themselves and their crosstalk might be deeply involved in HCC development and progression.

Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model.

Introduction: The risk of mortality associated with cardiac arrhythmias is considerable, and their diagnosis presents significant challenges, often resulting in misdiagnosis. This situation highlights the necessity for an automated, efficient, and real-time detection method aimed at enhancing diagnostic accuracy and improving patient outcomes.

Methods: The present study is centered on the development of a portable deep learning model for the detection of arrhythmias via electrocardiogram (ECG) signals, referred to as CardioAttentionNet (CANet).

TRAF6 promotes abdominal aortic aneurysm development by activating macrophage pyroptosis via the NLRP3/Caspase1/GSDMD pathway.

Abdominal aortic aneurysm represents a critical pathology of the aorta that currently lacks effective pharmacological interventions. TNF receptor-associated factor 6 (TRAF6) has been established to be involved in cardiovascular diseases such as atherosclerosis, hypertension, and heart failure. However, its role in abdominal aortic aneurysm (AAA) remains unclear.

A new selective mediastinal lymph node dissection for clinical peripheral stage IA invasive non-small-cell lung cancer: a propensity-score matching study.

Background: The optimal extent of lymph node resection for early-stage non-small cell lung cancer (NSCLC) remains a topic of debate in the medical community. We aimed to assess the surgical and prognostic outcomes based on the extent of mediastinal lymph node dissection (MLND) for resectable clinical stage IA NSCLC.

Methods: From 2016 to 2018, 1,166 patients with clinical stage IA NSCLC who underwent lobectomy or segmentectomy with complete mediastinal lymph node dissection (C-MLND) or selective mediastinal lymph node dissection (S-MLND) at five hospitals were enrolled.

ACE2 Inhibits Dermal Regeneration Through Ang II in Tissue Expansion.

Background: Tissue expansion is a widely employed technique in reconstructive surgery aimed at addressing considerable skin defects. Nevertheless, matters like inadequate expansion capability and the potential for skin breakage due to the fragility of the expanded tissue present notable hurdles in enhancing skin regeneration during this process. Angiotensin-converting enzyme 2 (ACE2) is recognized for its essential role in facilitating tissue renewal and regeneration.

Predictive tool for the risk of hypothermia during laparoscopic gynecologic tumor resection.

Objective: Based on the machine learning algorithm, construct a hypothermia prediction model for gynecological tumor resection under laparoscopic general anesthesia.

Methods: This research conducted a retrospective analysis, gathering data from individuals who had undergone minimally invasive surgical procedures for gynecological tumors in a Chinese Hospital, ranging from June 2018 to August 2024. During this timeframe, a total of 308 cases were examined for analysis, with 70% of the cases allocated to the modeling dataset and the remaining 30% designated for the validation dataset.

Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens.

Artificial intelligence (AI) is a promising approach to identify new antimicrobial compounds in diverse microbial species. Here we developed an AI-based, explainable deep learning model, EvoGradient, that predicts the potency of antimicrobial peptides (AMPs) and virtually modifies peptide sequences to produce more potent AMPs, akin to in silico directed evolution. We applied this model to peptides encoded in low-abundance human oral bacteria, resulting in the virtual evolution of 32 peptides into potent AMPs.

Uniaxial compressive damage evolution and constitutive modeling of fissure-like rocks under different loading rates based on acoustic emission.

In natural environments, most rocks possess internal fissures and are often exposed to diverse external loads arising from engineering activities and ground stress, among other factors. This study aims to explore the influence of different loading rates on the mechanical properties and acoustic emission (AE) characteristics of fissured rocks and to develop an intrinsic damage model. To achieve this, prefabricated fissured rock specimens that mimic natural rocks were prepared.

A position coding model that accounts for the effects of event boundaries on temporal order memory.

Episodic memories, particularly temporal order memory, are influenced by event boundaries. Although numerous theoretical and computational models have been developed to explain this phenomenon, creating a model that can explain a wide range of behavioral data and is supported by neural evidence remains a significant challenge. This study presented a new model, grounded in ample evidence of position coding, to account for the impact of event boundaries on temporal order memory.

Theoretical Study of the Reversible Hydrogenation of Carbon Dioxide to Formate on Mn-pincer Complexes.

Recently, Beller and coworkers reported a study on the reversible hydrogenation of CO2 to formic acid using a Mn(I)-PN5P complex. In this paper, we performed DFT calculations to understand the mechanism for this reversible reaction occurring on the Mn-PN5P, Mn-PN3P, and Mn-PNP catalysts. Through investigating in detail two possible routes for CO2 hydrogenation to formic acid, we noticed that the production of formic acid is not thermodynamically favorable.

Deproteinized Bovine Bone Mineral With Collagen for Anterior Maxillary Ridge Augmentation: A Retrospective Cohort Study.

Objectives: This study aimed to assess the effects of deproteinized bovine bone mineral with collagen (DBBMC) combined with deproteinized bovine bone mineral (DBBM) on facial alveolar bone augmentation in the anterior maxillary region.

Materials And Methods: Patients receiving dental implant placement with simultaneous lateral bone augmentation using DBBM (control group) or DBBMC combined with DBBM (test group) were included in the study. The radiographic assessment of facial alveolar bone, such as facial horizontal bone thickness (FHBT), facial vertical bone level (FVBL), and square of facial bone (SFB), was taken by cone beam computed tomography (CBCT).

Activation of mTOR/HK2 signaling mitigates effects of PYCR2 depletion in colorectal cells.

Background: Colorectal cancer (CRC) is one of the aggressive malignant tumors. Studies have shown that glycolysis promotes the proliferation of colorectal cancer cells and that PYCR2 is involved in cancer progression by affecting cellular glycolysis. In addition, PYCR2 is upregulated in colorectal cancer cell lines and can affect cellular autophagy.

Association between cardiometabolic index and overactive bladder in adult American women: A cross-sectional study.

Background: Overactive bladder (OAB) is a common disorder, particularly in women, and its symptoms, including urgency, frequency, and nocturia, can significantly affect quality of life. The cardiometabolic index (CMI) is a novel metabolic risk indicator that has been receiving more attention lately. This study investigated the association between CMI and OAB in adult women.

The microenvironment cell index is a novel indicator for the prognosis and therapeutic regimen selection of cancers.

Background: It is worthwhile to establish a prognostic prediction model based on microenvironment cells (MCs) infiltration and explore new treatment strategies for triple-negative breast cancer (TNBC).

Methods: The xCell algorithm was used to quantify the cellular components of the TNBC microenvironment based on bulk RNA sequencing (bulk RNA-seq) data. The MCs index (MCI) was constructed using the least absolute shrinkage and selection operator Cox (LASSO-Cox) regression analysis.

Serum assisted PD-L1 aptamer screening for improving its stability.

Aptamers have shown potential for diagnosing clinical markers and targeted treatment of diseases. However, their limited stability and short half-life hinder their broader applications. Here, a real sample assisted capture-SELEX strategy is proposed to enhance the aptamer stability, using the selection of specific aptamer towards PD-L1 as an example.

Understanding the relationship between silicone implants, tumor antigens, and breast cancer risk: An immunological study in rats.

This study aimed to investigate the effects of silicone implants on the incidence of breast cancer in rats, as well as their impact on immune surveillance mechanisms. Female SD rats were divided into three groups: a Placebo Surgery Group (PSG), a Thoracic Implant Group (TIG), and a Back Implant Group (BIG). Following the corresponding surgical procedures, we measured Secretoglobin Family 2A, Member 2(SCGB2A2) and Mucin-1 (MUC1) antigen levels using ELISA, and statistical analyses were conducted to evaluate immune responses.

Emission reduction characteristics of heavy-fuel aircraft piston engine fueled with 100% HEFA sustainable aviation fuel.

With the projected expansion of the general aviation sector and recent breakthroughs in sustainable aviation fuels (SAF), accurately measuring emissions from novel aircraft engines powered by SAF is paramount for evaluating the role of aviation industry in emission reduction trends and environmental consequences. Current SAF research primarily centers on low blend ratios, neglecting data on 100% SAF. This study bridges this gap by experimentally determining emissions indices for gaseous pollutants (CO, CO, HC, NOx), total particulate matter (PM) counts and sizes, and non-volatile particulate matter (nvPM) number and mass concentrations from a heavy-fuel aircraft piston engines (HF-APE) using hydroprocessed esters and fatty acids-derived SAF (HEFA-SAF), adhering to airworthiness-standard sampling and measurement protocols.

Synergistically effects of n-3 PUFA and B vitamins prevent diabetic cognitive dysfunction through promoting TET2-mediated active DNA demethylation.

Diabetic cognitive dysfunction (DCD) refers to the cognitive impairment observed in individuals with diabetes. Epidemiological studies have suggested that supplementation with n-3 polyunsaturated fatty acid (PUFA) or B vitamins may prevent the development of diabetic complications. Post hoc studies indicate a potential synergistic effect of n-3 PUFA and B vitamins in preventing cognitive impairment.

Discovering Cell-Targeting Ligands and Cell-Surface Receptors by Selection of DNA-Encoded Chemical Libraries against Cancer Cells without Predefined Targets.

Small molecules that can bind to specific cells have broad application in cancer diagnosis and treatment. Screening large chemical libraries against live cells is an effective strategy for discovering cell-targeting ligands. The DNA-encoded chemical library (DEL or DECL) technology has emerged as a robust tool in drug discovery and has been successfully utilized in identifying ligands for biological targets.

DMSO-Assisted Control Enables Highly Efficient 2D/3D Hybrid Perovskite Solar Cells.

Building 2D/3D heterojunction is a promising approach to passivate surface defects and improve the stability of perovskite solar cells (PSCs). Developing effective methods to build high-quality 2D/3D heterojunction is in demand. The formation of 2D/3D heterojunction involves both the diffusion of 2D spacer molecules and phase transition from 3D to 2D structure.

Excessive copper induces lignin biosynthesis in the leaves and roots of two citrus species: Physiological, metabolomic and anatomical aspects.

Excessive copper (Cu) of rhizosphere inhibited the growth and development of citrus seedlings. Lignin deposition on the cell wall promotes plant Cu tolerance. However, the lignin biosynthesis in citrus leaves and roots that respond to Cu toxicity is not fully understood.