Oncogenic PIK3CA corrupts growth factor signaling specificity.

Technical limitations have prevented understanding of how growth factor signals are encoded in distinct activity patterns of the phosphoinositide 3-kinase (PI3K)/AKT pathway, and how this is altered by oncogenic pathway mutations. We introduce a kinetic, single-cell framework for precise calculations of PI3K-specific information transfer for different growth factors. This features live-cell imaging of PI3K/AKT activity reporters and multiplexed CyTOF measurements of PI3K/AKT and RAS/ERK signaling markers over time.

Clinical significance and biological roles of lncRNA CTBP1-AS in polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) is among the most prevalent endocrine and metabolic disorders affecting women of reproductive age. Multiple factors, including genetic predisposition, environmental influences, and lifestyle choices, are considered significant contributors to the development of PCOS. A kind of long noncoding RNA-C-Terminal binding protein 1 antisense (lncRNA CTBP1-AS) has been proven to be a new androgen receptor regulator.

RNF144A inhibits autophagy by targeting BECN1 for degradation during infection.

is widely used in the laboratory as an infection model for the research on pathogenesis and host defense against gram-positive intracellular bacteria. Macroautophagy (called simply "autophagy" hereafter), is important in the host defense against pathogens, such as bacteria, viruses, and parasites. BECN1 plays a pivotal role in the initiation of autophagy and accumulating evidence indicates that post-translational modifications of BECN1 provide multiple strategies for autophagy regulation.

Prediction model for laser marking colors based on color mixing.

The current techniques for coloring surfaces using lasers necessitate the identification of numerous laser marking parameters, which is a laborious process. Furthermore, the quantitative analysis of generating a wide variety of colors through fewer sets of laser marking parameters is a huge challenge. This work employs a nanosecond laser to generate mixed structural colors from micro-nano structures on the surface of stainless steel in order to address these issues.

Facial Rejuvenation Strategy in Asian Women with Autologous Fat Transplantation.

Objective: To explore the clinical strategy of autologous fat transplantation in facial rejuvenation.

Methods: From September 2016 to May 2023, 2715 female patients with facial filling by autologous fat were retrospectively analysed. After treatment, they were followed up for 3-6 months to summarize the relationship between aesthetic design and treatment outcomes.

Construction of nomogram prediction model using heart rate and pulse perfusion variability index as predictors for hypotension in cervical cancer patients with spinal epidural anesthesia.

The prevention and treatment strategies for cervical cancer patients undergoing spinal epidural anesthesia have increasingly focused on early screening for high-risk factors associated with potential hypotension. We analyze the general conditions and preoperative examination results of 312 cervical cancer patients who received spinal epidural anesthesia, in order to identify independent risk factors for hypotension, assess their predictive efficacy, and construct a nomogram. 312 patients with cervical cancer received spinal epidural anesthesia were included in this study.

Efficacy of Sacubitril Valsartan sodium tablets in patients with heart failure combined with pulmonary infection and long-term recurrence rate.

Objective: To observe the therapeutic effect of Sacubitril Valsartan sodium tablets (SVST) on heart failure (HF) complicated by pulmonary infection (PI), and to provide a reference for future medication.

Methods: A total of 89 patients with HF complicated by PI who were treated at Dongying People's Hospital from January 2019 to May 2020 were selected as study subjects in this retrospective study. The control group consisted of 41 patients who received conventional treatment, while the study group included 48 patients who received SVST in addition to conventional treatment.

A diffusion model multi-scale feature fusion network for imbalanced medical image classification research.

Background And Objective: Medicine image classification are important methods of traditional medical image analysis, but the trainable data in medical image classification is highly imbalanced and the accuracy of medical image classification models is low. In view of the above two common problems in medical image classification. This study aims to: (i) effectively solve the problem of poor training effect caused by the imbalance of class imbalanced data sets.

N, N'-bidentate ligand anchored palladium catalysts on MOFs for efficient Heck reaction.

Metal-organic frameworks (MOFs), recognized as advanced catalyst carriers due to their adjustable porous, diverse structure and highly exposed active sites, have earned increasing attention for their potential to address the longevity of catalytic centers. In this manuscript, we have devised and synthesized a multifunctional amino-pyridine benzoic acid (APBA) ligand to replace the modulator ligand of the MOF-808 and disperse the palladium catalytic centers atomically on the MOF-APBA. The resulting single-site catalytic system, Pd@MOF-APBA, demonstrates preeminent efficiency and stability, as evidenced by a high average turnover number (95000) and a low metal residue (4.

Curcumin suppresses copper accumulation in non-small cell lung cancer by binding ATOX1.

Background: Non-small cell lung cancer (NSCLC) is associated with intracellular copper accumulation. Antioxidant 1 (ATOX1) is a copper chaperone. This study aimed to analyze the anti-cancer effects of curcumin on the ATOX1-mediated copper pathway in NSCLC.

Predictive model for novel subtypes of patients undergoing lower extremity amputation for peripheral artery disease: An unsupervised machine learning study.

Background: Peripheral artery disease (PAD) represents the frequently seen circulatory condition related to a risk of critical limb ischemia and amputation. Critical lower extremity ischemia may require amputation, and the outcomes vary. In this study, we developed an artificial intelligence (AI)-driven predictive model for PAD subtypes to assess risk among patients more precisely and accurately to predict disease progression.

Sport anxiety and subjective happiness of college athletes: a self-determination theory perspective.

Introduction: Sport anxiety not only impacts the performance of college athletes but also influences their psychological well-being. The psychological well-being of sports students is crucial for both academic performance and competition, as they need to balance their academic performance with professional athletic training.

Method: Based on self-determination theory, this study examines the relationship between various factors in sport anxiety (somatic anxiety, worry, and concentration disruption) and subjective happiness, as well as the mediating role of need satisfaction in this relationship.

Microbial and transcriptional response of Acropora valida and Turbinaria peltata to Vibrio coralliilyticus challenge: insights into corals disease resistance.

Background: Coral diseases are significant drivers of global coral reef degradation, with pathogens dominated by Vibrio coralliilyticus playing a prominent role in the development of coral diseases. Coral phenotype, symbiotic microbial communities, and host transcriptional regulation have been well-established as factors involved in determining coral disease resistance, but the underlying mechanisms remain incompletely understood.

Methods: This study employs high-throughput sequencing to analyse the symbiotic microbial and transcriptional response of the hosts in order to evaluate the disease resistance of Acropora valida and Turbinaria peltata exposed to Vibrio coralliilyticus.

Artificial intelligence-driven multiomics predictive model for abdominal aortic aneurysm subtypes to identify heterogeneous immune cell infiltration and predict disease progression.

Background: Abdominal aortic aneurysm (AAA) poses a significant health risk and is influenced by various compositional features. This study aimed to develop an artificial intelligence-driven multiomics predictive model for AAA subtypes to identify heterogeneous immune cell infiltration and predict disease progression. Additionally, we investigated neutrophil heterogeneity in patients with different AAA subtypes to elucidate the relationship between the immune microenvironment and AAA pathogenesis.

Construction of prediction models for novel subtypes in patients with arteriosclerosis obliterans undergoing endovascular therapy: an unsupervised machine learning study.

Background: Arteriosclerosis obliterans (ASO) is a chronic arterial disease that can lead to critical limb ischemia. Endovascular therapy is increasingly used for limb salvage in ASO patients, but the outcomes vary. The development of prediction models using unsupervised machine learning may lead to the identification of novel subtypes to guide patient prognosis and treatment.

Clinical Effect of Dermatologic Trephination Combined With Radiotherapy in the Treatment of Keloids.

Background: Keloids are excessive formations of scar tissue that develop at the site of a skin injury. Due to their invasive nature, they have a negative impact on the skin's appearance and are prone to recurrence, making them a challenging condition to treat with regard to skin aesthetics.

Objectives: The objective of this article was to compare the long-term effects of dermatologic trephination with nonsurgical treatments for scars and evaluate the clinical value of the treatments.

Systematic investigation of for treating diabetic peripheral neuropathy disease based on network Pharmacology.

Background: Diabetic peripheral neuropathy (DPN) is a debilitating complication of diabetes mellitus with limited available treatment options. , a traditional Chinese herb, has shown promise in treating DPN, but its therapeutic mech-anisms have not been systematically investigated.

Aim: (Danshen in pinin), a traditional Chinese medicine (TCM), is widely used to treat DPN in China.

Investigating pigeon circovirus infection in a pigeon farm: molecular detection, phylogenetic analysis and complete genome analysis.

Background: Pigeon circovirus infections in pigeons (Columba livia domestica) have been reported worldwide. Pigeons should be PiCV-free when utilized as qualified experimental animals. However, pigeons can be freely purchased as experimental animals without any clear guidelines to follow.

Pivotal Evaluation of Novel Dedicated Venous Stent for Iliofemoral Venous Obstruction: A Prospective Cohort Study.

Purpose: The purpose was to evaluate the clinical outcomes of a dedicated venous stent with the tripartite composite segments for the treatment of iliofemoral venous obstruction (IVO) in a mixed cohort of nonthrombotic iliac vein lesion (NIVL) and post-thrombotic syndrome (PTS) over a period of 12 months.

Methods: The Grency Trial is a prospective, multicenter, single-arm, open-label, pivotal study, which was conducted at 18 large tertiary hospitals in China from August 2019 to October 2020. A total of 133 hospitalized patients were screened and 110 patients with clinical, etiology, anatomical, and pathophysiology clinical class (CEAP) clinical grade C>3 and iliac vein stenosis >50% or occlusion, including 72 patients with NIVL and 38 patients with PTS, were implanted with Grency venous stents.