The influence of Lactobacillus johnsonii on tumor growth and lymph node metastasis in papillary thyroid carcinoma.

Lymph node metastasis (LNM) is a key factor in the prognosis of papillary thyroid carcinoma (PTC). This study explores the effect of intratumoral bacteria on LNM in PTC. The intrathyroidal microbiome is analyzed in 55 PTC patients by 16S rRNA gene sequencing.

Aerobic Exercise Activates Fibroblast Growth Factor 21 and Alleviates Cardiac Ischemia/Reperfusion-induced Neuronal Oxidative Stress and Ferroptosis in Paraventricular Nucleus.

Cardiac ischemia/reperfusion (I/R) induces systemic oxidative stress, which in turn gives rise to the development of multiple organ abnormalities, including brain injury. The paraventricular nucleus (PVN) of the hypothalamus is a cardiovascular regulatory center. Aerobic exercise is an effective intervention to protect the heart against I/R injury.

Lack of ALCAT1 enhances the protective effects of aerobic exercise on kidney in HFpEF mice.

Aims: Heart failure with preserved ejection fraction (HFpEF) is an increasingly prevalent cardiovascular disease, which is often accompanied by kidney dysfunction. Exercise has been recognized as a feasible strategy to improve renal function. The aim of this study was to investigate whether aerobic exercise (AE) could ameliorate HFpEF-induced renal injury by regulating the expression of acyl-coenzyme A: lysocardiolipin acyltransferase-1 (ALCAT1).

Ferrostatin-1 mitigates acute lung injury by reducing ferroptosis levels in gas explosions.

Background: Gas explosion injuries are a severe form of trauma with high incidence and mortality rates, both in daily life and industrial settings. Acute lung injury (ALI) is one of the most serious complications of gas explosion injuries and is a leading cause of mortality in such cases. However, the mechanisms underlying gas explosion-induced ALI have not been fully elucidated, and the treatment process consumes a significant amount of medical resources.

Development and evaluation of the mrTE scoring system for MRI-detected tumor deposits and extramural venous invasion in rectal cancer.

Purpose: Tumor deposits (TDs) and extramural venous invasion (EMVI) in locally advanced rectal cancer (LARC) are MRI-detectable markers that reflect the invasive and metastatic potential of tumors. However, both mrTDs and mrEMVI are closely associated with peritumoral vascular signals, and they show a high degree of statistical correlation. We developed a novel scoring system that integrates mrTDs and mrEMVI into a single parameter, simplifying the assessment process and capturing the prognostic value of both factors simultaneously.

COVID-19 recognition from chest X-ray images by combining deep learning with transfer learning.

Objective: Based on the current research status, this paper proposes a deep learning model named Covid-DenseNet for COVID-19 detection from CXR (computed tomography) images, aiming to build a model with smaller computational complexity, stronger generalization ability, and excellent performance on benchmark datasets and other datasets with different sample distribution features and sample sizes.

Methods: The proposed model first extracts and obtains features of multiple scales from the input image through transfer learning, followed by assigning internal weights to the extracted features through the attention mechanism to enhance important features and suppress irrelevant features; finally, the model fuses these features of different scales through the multi-scale fusion architecture we designed to obtain richer semantic information and improve modeling efficiency.

Results: We evaluated our model and compared it with advanced models on three publicly available chest radiology datasets of different types, one of which is the baseline dataset, on which we constructed the model Covid-DenseNet, and the recognition accuracy on this test set was 96.

Tear glucose is associated with the presence and severity of diabetic retinopathy.

Purpose: To examine the association between tear glucose (TG) and the presence and severity of diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM).

Methods: A cross-sectional study. TG was examined by rapid qualitative test strip in 160 patients.

Anchoring Ru single-atoms on MXene achieves dual-enzyme activities for mild photothermal augmented nanocatalytic therapy.

Single-atom catalysts with abnormally high catalytic activity have garnered extensive attention and interest for their application in tumor therapy. Despite the advancements made with current nanotherapeutic agents, developing efficient systems for cancer treatment remains challenging due to low activity, uncontrollable behavior, and nonselective interactions. Herein, we have constructed Ru single-atom-anchored MXene nanozymes (Ru-TiCT-PEG) with a mild photothermal effect and multi-enzyme catalytic activity for synergistic tumor therapy.

PLL-g-HPA Hydrogel Loaded Human Umbilical Cord Mesenchymal Stem Cells Promote Burn Wound Healing in Rat Model by Regulating Inflammation Response.

Purpose: Treatment of severe burn wound injury remains a significant clinical challenge as serious infections/complex repair process and irregulating inflammation response. Human umbilical cord mesenchymal stem cells (hUC-MSCs) have a multidirectional differentiation potential and could repair multiple injuries under appropriate conditions. Poly(L-lysine)-graft-4-hydroxyphenylacetic acid (PLL-g-HPA) hydrogel is an enzyme-promoted biodegradable in hydrogel with good water absorption, biocompatibility and anti-bacterial properties.

Evaluation and improvement of nursing undergraduates' informatics competencies using a hybrid multi-criteria decision-making model.

Background: Nursing staff need to be constantly exposed to information systems at work and encounter patients who share medical data obtained from the internet; this was widely observed during the coronavirus disease 2019 (COVID-19) pandemic. Hence, nursing staff should have the necessary skills and education that can help them develop nursing students' informatics competencies. However, research on assessing and improving nursing students' informatics competencies remains scarce.

Characterization and expression analysis of heat shock proteins HfHspc1 and HfHspc4 in Haemaphysalis flava ticks.

In this study, the cDNAs of heat shock cognate 90 protein 1 (HfHspc1) and heat shock cognate 90 protein 4 (HfHspc4) from Haemaphysalis flava (Acari: Ixodidae) were obtained using the rapid amplification of cDNA ends (RACE) approach, and the expression patterns of HfHspc1 and HfHspc4 in different developmental stages, engorgement stages and tick organs were analyzed by qPCR. The full length of HfHspc1 was 2411 bp, and its open reading frame (ORF) was 2196 bp, encoding a protein of 732 aa, containing five HSPC family signatures, with MEEVD motif at its extreme C-terminal. The full length of HfHspc4 was 2800 bp, and its ORF was 2364 bp, encoding a protein of 789 aa, containing a signal peptide and five family signatures, with HEEL motif at its extreme C-terminal.

Coassembly of Dual-Modulated AIE-ESIPT Photosensitizers and UCNPs for Enhanced NIR-Excited Photodynamic Therapy.

Aggregation-induced emission (AIE) photosensitizers are promising for photodynamic therapy, yet their short excitation wavelengths present a limitation. In this study, we develop a series of organic photosensitizers with dual modulation capabilities based on excited-state intramolecular proton transfer (ESIPT) and AIE. Notably, we synthesize near-infrared (NIR)-excited photosensitive nanoparticles through a coassembly strategy utilizing upconversion nanoparticles (UCNPs) and amphiphilic polymers.

Thermoelectric Nanoheterojunction-Mediated Multiple Energy Conversion for Enhanced Cancer Therapy.

Electron-hole recombination and exogenous local hypoxia both impede the effectiveness of thermoelectric tumor catalytic therapy. Here, a thermoelectric heterojunction (Pt-TiO/TiCT-PEG) was developed to enhance charge carrier separation and alleviate tumor hypoxia. By incorporating titanium oxide with oxygen vacancies and platinum single atoms onto TiCT MXene, we not only improve the charge separation efficiency but also prevent the recombination of positive and negative charges generated by the thermoelectric effect, leading to an increased production of reactive oxygen species (ROS).

Comparative analysis of tertiary lymphoid structures for predicting survival of colorectal cancer: a whole-slide images-based study.

Background: Tertiary lymphoid structures (TLS) are major components in the immune microenvironment, correlating with a favorable prognosis in colorectal cancer. However, the methods used to define and characterize TLS were not united, hindering its clinical application. This study aims to seek a more stable method to characterize TLS and clarify their prognostic value in larger multicenter cohorts.

Interleukin-10 deficiency suppresses colorectal cancer metastasis by enriching gut Parabacteroides distasonis.

Introduction: The intricate interplay of interleukin-10 (IL-10) and gut microbiota influences tumor development and progression, yet the impacts on colorectal cancer (CRC) metastasis remain incompletely understood.

Methods: The impact of Il10 deficiency on CRC metastasis was first evaluated in CRC metastasis tumor samples and mouse model. Antibiotic sterilization and fecal microbiota transplantation (FMT) experiment were used to assess the role of gut microbiota in IL-10 mediated CRC metastasis, and full-length 16S rDNA sequencing analysis further identified the potential target bacteria influencing CRC metastasis.

Single-cell proteomics delineates murine systemic immune response to blast lung injury.

Victims of explosive events frequently suffer from blast lung injuries. Immune system has been implicated in the pathogenesis of this disease. However, systemic immune responses underlying the progression and recovery of injury repair remain poorly understood.

Synergistic Strengthening Mechanisms of Dual-Phase (TiN+AlN) Reinforced Aluminum Matrix Composites Prepared by Laser Powder Bed Fusion.

Dual-phase reinforcing approach provides a novel and efficient strategy for the fabrication of advanced aluminum matrix composites (AMCs). The devisable and desirable performance could be achieved by tuning dual-phase reinforcing system. However, it is still challenging to design a dual-phase reinforcing system with synergistic strengthening effect, especially for the laser powder bed fusion (LPBF) characterized by nonequilibrium metallurgical process.

Whole-genome sequencing reveals cellular origin of concomitant chronic lymphocytic leukemia and multiple myeloma: a case report.

Chronic lymphocytic leukemia (CLL) and multiple myeloma (MM) are hematological disorders affecting B cells. The clonal relationship between CLL and MM has not always been clarified, although this information is critical to understanding its pathogenesis. Here, we present a rare clinical case of synchronous CLL and MM.

The emerging role of exercise in Alzheimer's disease: Focus on mitochondrial function.

Alzheimer's disease (AD) is an age-related neurodegenerative disease characterized by memory impairment and cognitive dysfunction, which eventually leads to the disability and mortality of older adults. Although the precise mechanisms by which age promotes the development of AD remains poorly understood, mitochondrial dysfunction plays a central role in the development of AD. Currently, there is no effective treatment for this debilitating disease.

AI-Driven Diagnostic Assistance in Medical Inquiry: Reinforcement Learning Algorithm Development and Validation.

Background: For medical diagnosis, clinicians typically begin with a patient's chief concerns, followed by questions about symptoms and medical history, physical examinations, and requests for necessary auxiliary examinations to gather comprehensive medical information. This complex medical investigation process has yet to be modeled by existing artificial intelligence (AI) methodologies.

Objective: The aim of this study was to develop an AI-driven medical inquiry assistant for clinical diagnosis that provides inquiry recommendations by simulating clinicians' medical investigating logic via reinforcement learning.