APOM Modulates the Glycolysis Process in Liver Cancer Cells by Controlling the Expression and Activity of HK2 via the Notch Pathway.

The metabolic pathway of aerobic glycolysis in tumor cells has garnered significant attention in tumor research because of its high activation in cancer cells. Previous research conducted by our team has demonstrated that Apolipoprotein M (APOM) exhibits potential as a factor against liver cancer. However, further investigations are needed to elucidate the precise approach and mechanism that are involved in this process.

The link between eye movements and cognitive function in mild to moderate Alzheimer's disease.

This study investigated the relationship between eye movement parameters and cognitive function in patients with mild to moderate Alzheimer's disease (AD). A total of 80 patients with AD (mild and moderate) and 34 normal controls (NC) participated. Neuropsychological assessments were conducted using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), while eye movements were recorded using eye-tracking technology.

Chiral Nanostructures from Artificial Helical Polymers: Recent Advances in Synthesis, Regulation, and Functions.

Helical structures such as right-handed double helix for DNA and left-handed α-helix for proteins in biological systems are inherently chiral. Importantly, chirality at the nanoscopic level plays a vital role in their macroscopic chiral functionalities. In order to mimic the structures and functions of natural chiral nanoarchitectures, a variety of chiral nanostructures obtained from artificial helical polymers are prepared, which can be directly observed by atomic force microscopy (AFM), scanning tunneling microscopy (STM), scanning electron microscopy (SEM), and transmission electron microscopy (TEM).

Advances and Challenges in Speciation Measurement and Microkinetic Modeling for Gas-Solid Heterogeneous Catalysis.

Microkinetic modeling of heterogeneous catalysis serves as an efficient tool bridging atom-scale first-principles calculations and macroscale industrial reactor simulations. Fundamental understanding of the microkinetic mechanism relies on a combination of experimental and theoretical studies. This Perspective presents an overview of the latest progress of experimental and microkinetic modeling approaches applied to gas-solid catalytic kinetics.

Validity and normative scores of finger flexor strength and endurance tests estimated from a large sample of female and male climbers.

Recent reviews have highlighted conflicting findings regarding the validity of finger flexor strength and endurance tests in sport climbers, often due to small sample sizes and low ecological validity of the tests used. To address these gaps, 185 male and 122 female climbers underwent maximal finger flexor strength, intermittent and continuous finger flexor endurance, and the finger hang tests in a sport-specific setting to determine the predictive and concurrent validity of these tests. The finger hang test showed the strongest relationship to climbing ability for both sexes ( ≈ 0.

Clinicopathological Features and Prognoses of Patients With Splenic Metastases From Breast Cancer: A Single-Centre, Retrospective Study.

Purpose: Splenic metastases (SM) from breast cancer (SMBC) are exceedingly rare. To date, the relevant literature is primarily based on pan-tumour species, with only a few studies exploring SM specifically in relation to breast cancer. As such, the present retrospective study explored the clinicopathological characteristics and prognoses of patients with SMBC at the breast care centre of the authors' hospital.

The present and future of digital health, digital medicine, and digital therapeutics for allergic diseases.

Background: Digital health, digital medicine, and digital therapeutics integrate advanced computer technologies into healthcare, aiming to improve efficiency and patient outcomes. These technologies offer innovative solutions for the management of allergic diseases, which affect a significant proportion of the global population and are increasing in prevalence. BODY: This review examines the current progress and future potential of digital health in allergic disease management.

Development of machine learning models for diagnostic biomarker identification and immune cell infiltration analysis in PCOS.

Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of reproductive age. It is characterized by symptoms such as hyperandrogenemia, oligo or anovulation and polycystic ovarian, significantly impacting quality of life. However, the practical implementation of machine learning (ML) in PCOS diagnosis is hindered by the limitations related to data size and algorithmic models.

A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma.

Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.

Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).

Prominent efficacy and good safety of sequential CD19 and CD22 CAR-T therapy in relapsed/refractory adult B-cell acute lymphoblastic leukemia.

Background: Sequential CD19 and CD22 chimeric antigen receptor (CAR)-T cell therapy offers a promising approach to antigen-loss relapse in relapsed/refractory (R/R) B-cell acute lymphoblastic leukemia (B-ALL); however, research in adults remains limited.

Methods: This study aimed to evaluate the efficacy and safety of sequential CD19 and CD22 CAR-T cell therapy in adult patients with R/R B-ALL between November 2020 and November 2023 (ChiCTR2100053871). Key endpoints included the adverse event incidence, overall survival (OS), and leukemia-free survival (LFS).

CYP3A5 promotes glioblastoma stemness and chemoresistance through fine-tuning NAD/NADH ratio.

Background: Glioblastoma multiforme (GBM) exhibits a cellular hierarchy with a subpopulation of stem-like cells known as glioblastoma stem cells (GSCs) that drive tumor growth and contribute to treatment resistance. NAD(H) emerges as a crucial factor influencing GSC maintenance through its involvement in diverse biological processes, including mitochondrial fitness and DNA damage repair. However, how GSCs leverage metabolic adaptation to obtain survival advantage remains elusive.

Development of a Korean clinical decision-making ability scale for hospital nurses.

Background: A hospital nurse's clinical decision-making ability is an important core competency that identifies and solves patient problems in nursing practice. This study aimed to develop a Korean clinical decision-making scale for hospital nurses, and verify its validity and reliability.

Methods: A methodological design that develops a scale was used.

A staged integrated model informing the promotion of healthy dietary behaviors in adolescents: a prospective study.

Background: The promotion of healthy dietary behaviors in adolescence is critical, which have long-term implications for lifelong health. Integration is an important method for improving limited theories of dietary behavior change. The present study proposes an integrated model aimed at identifying the diverse determinants of healthy dietary behaviors in adolescents and assesses its stage-specific nature as the potential for effective interventions.

Association between obstructive sleep apnea and hyperuricemia/gout in the general population: a cross-sectional study.

Background: Obstructive sleep apnea (OSA) is linked to various health conditions, including cardiovascular diseases and metabolic disorders. Hyperuricemia and gout may be associated with OSA, but large-scale studies on this are limited. This study aimed to investigate the association between hyperuricemia/gout and OSA using data from the Korea National Health and Nutrition Survey (KNHANES).

Machine learning based identification of an amino acid metabolism related signature for predicting prognosis and immune microenvironment in pancreatic cancer.

Background: Pancreatic cancer is a highly aggressive neoplasm characterized by poor diagnosis. Amino acids play a prominent role in the occurrence and progression of pancreatic cancer as essential building blocks for protein synthesis and key regulators of cellular metabolism. Understanding the interplay between pancreatic cancer and amino acid metabolism offers potential avenues for improving patient clinical outcomes.

Emergence and clinical challenges of ST11-K64 carbapenem-resistant Klebsiella pneumoniae: molecular insights and implications for antimicrobial resistance and virulence in Southwest China.

Background: In clinical practice, the emergence of ST11-K64 carbapenem-resistant Klebsiella pneumoniae (ST11-K64 CRKP) has become increasingly alarming. Despite this trend, limited research has been conducted to elucidate the clinical and molecular characteristics of these strains.

Objectives: This study aimed to comprehensively investigate the clinical characteristics, antimicrobial resistance patterns, resistance and virulence-associated genes, and molecular epidemiology of ST11-K64 CRKP in Southwest China.

Clinicogenomic landscape of pancreatic adenocarcinoma identifies KRAS mutant dosage as prognostic of overall survival.

Nearly all pancreatic adenocarcinomas (PDAC) are genomically characterized by KRAS exon 2 mutations. Most patients with PDAC present with advanced disease and are treated with cytotoxic therapy. Genomic biomarkers prognostic of disease outcomes have been challenging to identify.

Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations.

Randomized controlled trials (RCTs) evaluating anti-cancer agents often lack generalizability to real-world oncology patients. Although restrictive eligibility criteria contribute to this issue, the role of selection bias related to prognostic risk remains unclear. In this study, we developed TrialTranslator, a framework designed to systematically evaluate the generalizability of RCTs for oncology therapies.

Sustained virologic suppression of multidrug-resistant HIV in an individual treated with anti-CD4 domain 1 antibody and lenacapavir.

The clinical management of people with multidrug-resistant (MDR) human immunodeficiency virus (HIV) remains challenging despite continued development of antiretroviral agents. A 58-year-old male individual with MDR HIV and Kaposi sarcoma (KS) was treated with a new antiretroviral regimen consisting of anti-CD4 domain 1 antibody UB-421 and capsid inhibitor lenacapavir. The individual experienced delayed but sustained suppression of plasma viremia and a substantial increase in the CD4 T cell count.

Establishing bio-logging data collections as dynamic archives of animal life on Earth.

Rapid growth in bio-logging-the use of animal-borne electronic tags to document the movements, behaviour, physiology and environments of wildlife-offers opportunities to mitigate biodiversity threats and expand digital natural history archives. Here we present a vision to achieve such benefits by accounting for the heterogeneity inherent to bio-logging data and the concerns of those who collect and use them. First, we can enable data integration through standard vocabularies, transfer protocols and aggregation protocols, and drive their wide adoption.

Home Urine Dipstick Screening for Bladder and Kidney Cancer in High-Risk Populations in England: A Microsimulation Study of Long-Term Impact and Cost-Effectiveness.

Background: Testing high-risk populations for non-visible haematuria may enable earlier detection of bladder cancer, potentially decreasing mortality. This research aimed to assess the cost-effectiveness of urine dipstick screening for bladder cancer in high-risk populations in England.

Methods:  A microsimulation model developed in R software was calibrated to national incidence data by age, sex and stage, and validated against mortality data.

Identification of important genes related to ferroptosis in early missed abortion based on WGCNA.

Early missed abortion is defined as a pregnancy of ≤ 12 weeks in which there is a cessation of life in the developing embryo or fetus, leading to its retention within the uterine cavity without being spontaneously expelled promptly. This condition is commonly observed and significantly impacts human reproductive health. This study aimed to identify key genes related to ferroptosis that could serve as novel biomarkers for early missed abortion.

Measurement of natural radionuclides and health risk assessment in soil samples of the Main Central Thrust region in Garhwal Himalaya, India.

Ionizing radiation emitted from radionuclides is present everywhere in the environment. It is the main source of health hazards to the general public. The present study elaborates on the analysis of primordial radionuclides in the collected soil samples from the Main Central Thrust (MCT) region of Uttarakhand Himalaya in a grid pattern.

Estimating forest aboveground carbon sink based on landsat time series and its response to climate change.

Accurately estimating forest carbon sink and exploring their climate-driven mechanisms are critical to achieving carbon neutrality and sustainable development. Fewer studies have used machine learning-based dynamic models to estimate forest carbon sink. The climate-driven mechanisms in Shangri-La have yet to be explored.

Circulating tumor cell plasticity determines breast cancer therapy resistance via neuregulin 1-HER3 signaling.

Circulating tumor cells (CTCs) drive metastasis, the leading cause of death in individuals with breast cancer. Due to their low abundance in the circulation, robust CTC expansion protocols are urgently needed to effectively study disease progression and therapy responses. Here we present the establishment of long-term CTC-derived organoids from female individuals with metastatic breast cancer.