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.

A modular approach to catalytic stereoselective synthesis of chiral 1,2-diols and 1,3-diols.

Optically pure 1,2-diols and 1,3-diols are the most privileged structural motifs, widely present in natural products, pharmaceuticals and chiral auxiliaries or ligands. However, their synthesis relies on the use of toxic or expensive metal catalysts or suffer from low regioselectivity. Catalytic asymmetric synthesis of optically pure 1,n-diols from bulk chemicals in a highly stereoselective and atom-economical manner remains a formidable challenge.

Gene-level analysis reveals the genetic aetiology and therapeutic targets of schizophrenia.

Genome-wide association studies (GWASs) have reported multiple risk loci for schizophrenia (SCZ). However, the majority of the associations were from populations of European ancestry. Here we conducted a large-scale GWAS in Eastern Asian populations (29,519 cases and 44,392 controls) and identified ten Eastern Asian-specific risk loci, two of which have not been previously reported.

Association between alcohol consumption and risk of type 2 diabetes in Japan: a population-base longitudinal cohort study.

Heavy alcohol consumption is a known risk factor for type 2 diabetes (T2D), However, the moderating effect of fasting plasma glucose (FPG) levels remains unclear. This study explores the relationship between alcohol intake and T2D risk across FPG strata in a Japanese cohort. Data from 15,453 participants in the NAGALA cohort were analyzed over 5.

Unconventional hexagonal open Prussian blue analog structures.

Prussian blue analogs (PBAs), as a classical kind of microporous materials, have attracted substantial interests considering their well-defined framework structures, unique physicochemical properties and low cost. However, PBAs typically adopt cubic structure that features small pore size and low specific surface area, which greatly limits their practical applications in various fields ranging from gas adsorption/separation to energy conversion/storage and biomedical treatments. Here we report the facile and general synthesis of unconventional hexagonal open PBA structures.

Triboelectric tactile sensor for pressure and temperature sensing in high-temperature applications.

Skin-like sensors capable of detecting multiple stimuli simultaneously have great potential in cutting-edge human-machine interaction. However, realizing multimodal tactile recognition beyond human tactile perception still faces significant challenges. Here, an extreme environments-adaptive multimodal triboelectric sensor was developed, capable of detecting pressure/temperatures beyond the range of human perception.

Predictive value of cough peak flow for successful extubation in mechanically ventilated patients after craniotomy: a single-centre prospective diagnostic study.

Objectives: The purpose of this study was to evaluate the predictive value of the cough peak flow (CPF) for successful extubation in postcraniotomy critically ill patients.

Design: This was a single-centre prospective diagnostic study.

Setting: The study was conducted in three intensive care units (ICUs) of a teaching hospital.

Epigenetics in autosomal dominant polycystic kidney disease.

Autosomal dominant polycystic kidney disease (ADPKD) is the fourth leading cause of end-stage renal disease, contributing substantially to patient morbidity, mortality, and healthcare system strain. Emerging research highlights a pivotal role of epigenetics in ADPKD's pathophysiology, where mechanisms like DNA methylation, histone modifications, and non-coding RNA regulation significantly impact disease onset and progression. These epigenetic factors influence gene expression and regulate key processes involved in cyst formation and expansion, fibrosis, and inflammatory infiltration, thus accelerating ADPKD progression.

Evolutionary study and structural basis of proton sensing by Mus GPR4 and Xenopus GPR4.

Animals have evolved pH-sensing membrane receptors, such as G-protein-coupled receptor 4 (GPR4), to monitor pH changes related to their physiology and generate adaptive reactions. However, the evolutionary trajectory and structural mechanism of proton sensing by GPR4 remain unresolved. Here, we observed a positive correlation between the optimal pH of GPR4 activity and the blood pH range across different species.

Predictive value of epicardial adipose tissue volume for early detection of left ventricular dysfunction in patients suspected of coronary artery disease.

Aim: To investigate the relationship between epicardial adipose tissue (EAT) and myocardial strain and the severity of coronary artery disease (CAD), and to evaluate the predictive value of EAT parameters in early left ventricular (LV) diastolic dysfunction.

Materials And Methods: One hundred seventy patients with suspected CAD who underwent both coronary computed tomography angiography and echocardiography were enrolled in 2020. LV global strains were calculated using commercial software.

CPI-GGS: A deep learning model for predicting compound-protein interaction based on graphs and sequences.

Background: Compound-protein interaction (CPI) is essential to drug discovery and design, where traditional methods are often costly and have low success rates. Recently, the integration of machine learning and deep learning in CPI research has shown potential to reduce costs and enhance discovery efficiency by improving protein target identification accuracy. Additionally, with an urgent need for novel therapies against complex diseases, CPI investigation could lead to the identification of effective new drugs.

β-cyclodextrin polymers as a new sorbent for solid-phase extraction of xenobiotics in Urine.

This study systematically assessed the performance of a newly developed solid-phase extraction (SPE) material, cellulose-supported aminated β-cyclodextrin polymer (amine-β-CDP@Cellulose), in determining 44 xenobiotics, encompassing endocrine-disrupting chemicals (EDCs), pharmaceuticals, and food additives in urine samples. The primary objective of the research was to synthesize a new sorbent, optimize the extraction protocol, and elucidate the underlying adsorption and desorption mechanisms. Following optimization, it was observed that amine-β-CDP@Cellulose achieved recoveries ranging from 80 % to 120 % for 28 of the 44 targeted xenobiotics, with only three compounds showing recoveries below 50 %.

Diagnosis of lymph node metastasis in oral squamous cell carcinoma by an MRI-based deep learning model.

Background: Cervical lymph node metastasis (LNM) is a well-established poor prognosticator of oral squamous cell carcinoma (OSCC), in which occult metastasis is a subtype that makes prediction challenging. Here, we developed and validated a deep learning (DL) model using magnetic resonance imaging (MRI) for the identification of LNM in OSCC patients.

Methods: This retrospective diagnostic study developed a three-stage DL model by 45,664 preoperative MRI images from 723 patients in 10 Chinese hospitals between January 2015 and October 2020.

Estimating cardiovascular mortality in patients with hypertension using machine learning: The role of depression classification based on lifestyle and physical activity.

Purpose: This study aims to harness machine learning techniques, particularly the Random Survival Forest (RSF) model, to assess the impact of depression on cardiovascular disease (CVD) mortality among hypertensive patients. A key objective is to elucidate the interplay between mental health, lifestyle, and physical activity while comparing the effectiveness of the RSF model against the traditional Cox proportional hazards model in predicting CVD mortality.

Methods: Data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2014 were used for comprehensive depression screening.

Aidi injection inhibits the migration and invasion of gefitinib-resistant lung adenocarcinoma cells by regulating the PLAT/FAK/AKT pathway.

Background: With extended gefitinib treatment, the therapeutic effect in some non-small cell lung cancer (NSCLC) patients declined with the development of drug resistance. Aidi injection (ADI) is utilized in various cancers as a traditional Chinese medicine prescription. This study explores the molecular mechanism by which ADI, when combined with gefitinib, attenuates gefitinib resistance in PC9GR NSCLC cells.

Human amniotic epithelial stem cells, a potential therapeutic approach for diabetes and its related complications.

The escalating diabetes prevalence has heightened interest in innovative therapeutic strategies for this disease and its complications. Human amniotic epithelial stem cells (HAESCs), originate from the innermost layer of the placenta closest to the fetus and express stem cell markers in the amniotic membrane's umbilical cord attachment area, which have garnered significant attention. This article critically examines emerging research advancements and potential application values of hAESCs in treating diabetes and its complications.

Donafenib activates the p53 signaling pathway in hepatocellular carcinoma, induces ferroptosis, and enhances cell apoptosis.

Donafenib is an improved version of sorafenib in which deuterium is substituted into the drug's chemical structure, enhancing its stability and antitumor activity. Donafenib exhibits enhanced antitumor activity and better tolerance than sorafenib in preclinical and clinical studies. However, the specific mechanism of its effect on hepatocellular carcinoma has not been reported.

Impact of white matter hyperintensity location on outcome in acute ischemic stroke patients: a lesion-symptom mapping study.

Background: Studies on the impact of white matter hyperintensity (WMH) on function outcome have primarily concentrated on WMH volume, overlooking the potential significance of WMH location. This study aimed to investigate the relationship between WMH location and outcome in patients with their first-ever acute ischemic stroke (AIS).

Methods: Patients who underwent their first AIS between September 2021 and September 2022 were recruited.

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.

Identifying the burdens for informal caregivers of tracheostomy-dependent people: a scoping review protocol.

Introduction: It is complicated and time-consuming to care for tracheostomised patients, and many informal caregivers are said to feel a variety of burdens, although we are unsure of the specifics of this burden. This scoping review aims to identify and examine the caregiver burden encountered by informal caregivers of patients with tracheostomy.

Methods And Analysis: This scoping review will be carried out in accordance with Arksey and O'Malley and its extended framework, along with adherence to the guidelines provided by the Joanna Briggs Institute.

An Analysis of the Prevalence and Trends in Drug-Related Lyrics on Twitter (X): Quantitative Approach.

Background: The pervasiveness of drug culture has become evident in popular music and social media. Previous research has examined drug abuse content in both social media and popular music; however, to our knowledge, the intersection of drug abuse content in these 2 domains has not been explored. To address the ongoing drug epidemic, we analyzed drug-related content on Twitter (subsequently rebranded X), with a specific focus on lyrics.

Successful Treatment of Rosacea by Trephination combined with Photodynamic Therapy: A case report.

Rosacea is a chronic, inflammatory dermatological condition primarily affecting the central face, including the cheeks, nose, chin, and forehead[1]. It presents with erythema, phymatous changes, papules, pustules, and telangiectasia. The pathogenesis of rosacea is still unknown.

Contrasting effects of arsenic on mycorrhizal-mediated silicon and phosphorus uptake by rice.

Silicon (Si) and arbuscular mycorrhizal fungi (AMF) increase plant resistance to various environmental stresses, including heavy metal (and metalloid) toxicity. Although Si and AMF each independently enhance plant tolerance, the nature of their interactions and their combined impacts on nutrient uptake, especially in the context of toxic elements such as arsenic (As), remains to be elucidated. This study investigated AMF-mediated regulation of plant nutrient uptake under As stress using rice, a model Si-accumulating plant.