Hypertension and Atrial Fibrillation: Insight From Basic to Translational Science Into the Mechanisms and Management.

There is a parallel epidemic of atrial fibrillation (AF) and hypertension (HTN) occurring globally. Both AF and HTN are no longer confined to the older population. The pathophysiology of AF related to HTN is complex with many inter-related factors.

Realizing the Ultrafast Recovery of the Monolayer MoS-Based NH Sensor by Gas-Ion-Gate.

Over the past decade, the two-dimensional material MoS has attracted great attention due to its room temperature stability, high surface area-to-volume ratios, abundance of active sites at the edges, and exceptional surface sensitivity to the environment, which are key characteristics for applications in chemical sensing. However, the slow recovery of ammonia (NH) sensors based on MoS materials at room temperature has restricted their further development. This paper presents a novel approach to address this limitation by demonstrating a monolayer MoS-based NH sensor with rapid recovery capabilities, leveraging O generated through gas-ion-gate (GIG) technology.

Co-training semi-supervised medical image segmentation based on pseudo-label weight balancing.

Purpose: Major challenges in current semi-supervised segmentation methods: (1) The complementary nature of information in pseudo-label: a key limitation of consistent regularization methods is the tendency of sub-networks to converge to the consensus case early on, leading to the degradation of co-trained models into self-trained models, whereas disagreement between sub-networks is important for joint training. (2) Quantity-quality weighting imbalance in pseudo-label methods: threshold-based pseudo-label is to train the model with pseudo-labels whose predicted confidence is higher than a hard threshold. In contrast, other pseudo-labels are simply ignored.

HAS-CIRCpedia-5280 sponges miR-4712-5p inhibited colon cancer autophagyinduced by human beta-defensin-1.

Background: Among all malignancies, colorectal cancer ranks third in incidence rate and second in mortality rate. Human beta-defensin-1 (hBD-1) has broad-spectrum antimicrobial properties, and it plays an important role in the tumor microenvironment. Circular ribonucleic acids (circRNAs) regulate the proliferation and progression of colorectal cancer cells via cancer-related signaling pathways.

Injectable celastrol-loading emulsion hydrogel for immunotherapy of low-immunogenic cancer.

Immunotherapy, exemplified by immune checkpoint blockade (ICB), has been extensively employed in antitumor treatments. Nevertheless, its efficacy in addressing low-immunogenic tumors has not yielded satisfactory results, primarily due to the depletion and inadequate infiltration of effector T cells within the tumor microenvironment (TME). Here, we construct an injectable water-in-oil emulsion hydrogel to load clinically used Celastrol (Gel@Cel), which addresses the limitations of Cel's hydrophobicity.

Effects of hypoxia stress on the milk synthesis in bovine mammary epithelial cells.

Background: Milk synthesis is an energy-intensive process influenced by oxygen availability. This study investigates how hypoxia affects milk synthesis in BMECs, focusing on key genes involved in lactation and energy metabolism.

Methods: BMECs were cultured in a normoxic environment and then transferred to a hypoxia chamber with 1% O for specified durations.

Association between metabolic visceral fat score and left ventricular hypertrophy in individuals with type 2 diabetes.

Background: Left ventricular hypertrophy (LVH), a hallmark of early-stage heart failure (HF), is a common complication in individuals with type 2 diabetes mellitus (T2DM). Metabolic Visceral Fat Score (METS-VF), a novel metric for estimating visceral adiposity, may provide valuable insights into LVH risk. This study explores the association between METS-VF and LVH in T2DM and compare its predictive performance to traditional abdominal obesity indices.

Application of family-centered care in cardiac surgery: a scoping review.

Background: Family-centered care (FCC) has been widely implemented in various medical settings, its application in cardiac surgery remains underexplored. Given the complexity of cardiac surgery and the significant impact on both patients and families, understanding FCC's role in this context is essential to improving patient outcomes and family well-being.

Objectives: To identify the current state of the application of FCC in the families of cardiac surgery.

Antiviral treatment for viral pneumonia: current drugs and natural compounds.

In recent years, viral pneumonia has become a significant challenge to global public health, particularly during the COVID-19 pandemic. Viral pneumonia can be caused by various viruses, including influenza virus, RSV, and adenovirus. These viruses trigger inflammatory responses by invading the respiratory epithelial cells, leading to lung damage.

Educational efficacy of the simulation-based episiotomy training: a multi-center observational study.

Background: Interprofessional training programmes are now widely used for training junior doctors and nurses. This study aimed to evaluate the educational efficacy of an obstetric operative simulation programme in both junior and senior obstetricians and midwives.

Methods: We conducted a 30-minute professional course in midwifery at three obstetric centers in Zhejiang, China.

Multi-omics analysis of synovial tissue and fluid reveals differentially expressed proteins and metabolites in osteoarthritis.

Background: Knee osteoarthritis is a common degenerative joint disease involving multiple pathological processes, including energy metabolism, cartilage repair, and osteogenesis. To investigate the alterations in critical metabolic pathways and differential proteins in osteoarthritis patients through metabolomic and proteomic analyses and to explore the potential mechanisms underlying synovial osteogenesis during osteoarthritis progression.

Methods: Metabolomics was used to analyze metabolites in the synovial fluid and synovium of osteoarthritis patients (osteoarthritis group: 10; control group: 10), whereas proteomics was used to examine differential protein expression.

Abnormal arterial ligation alone for patients with anomalous systemic arterial supply to the left basal segment of the lung: three case series.

Background: Anomalous systemic arterial supply to the left basal segment of the lung is a rare congenital pulmonary vascular malformation, historically classified as a variant of intra-lobar pulmonary sequestration. The standard surgical approach has typically involved ligation of the anomalous artery in combination with lobectomy or segmentectomy.

Case Description: We present three cases of anomalous systemic arterial supply to the left basal segment of the lung, all successfully treated with thoracoscopic anomalous arterial ligation alone.

Genomic characterisation and traceability analysis of a Clostridium botulinum strain involved in a food poisoning incident.

Objective: To identify the source of Clostridium botulinum (C. botulinum) involved in a food poisoning case in Kunming and analyze its molecular characteristics.

Results: This study examined samples from a clustered food poisoning incident, including pickled pig liver consumed by three patients, hospital vomit from a deceased patient, and household waste mixed with vomit.

Analysis of features of papillary thyroid carcinoma on color Doppler ultrasound images: implications for lymph node metastasis.

Background: This study aimed to describe the color Doppler flow features of papillary thyroid carcinoma (PTC) and to further investigate the associations between these features and lymph node metastasis (LNM).

Methods: A retrospective analysis of the clinical data of 287 PTC patients confirmed by postoperative pathology at the Second Affiliated Hospital of Xi'an Jiaotong University from January 2022 to April 2023 was conducted. The Adler grading system and novel blood flow patterns were used to analyze the vascularity of the PTC lesions on color Doppler images.

Neuropilin-1-target self-assembled peptide nanoparticles contribute to tumor treatment by inducing pyroptosis.

Background: Expression of the Neuropilin-1 (NRP1) is reported in malignant cells of multiple human tumor types represented as a tumor marker. Targeting NRP1 with a peptide, CK3, is used for tumor molecular imaging, raising the question of the therapeutic potential of CK2, a peptide with a CK3 backbone which enhanced targeting and tumor enrichment properties.

Methods: The tumor targeting and enrichment capacity of CK2 was detected by IncuCyte, flow cytometry and animal living imaging.

Genome-wide characterization of effector proteins in Fusarium zanthoxyli and their effects on plant's innate immunity responses.

Background: Stem canker of Zanthoxylum bungeanum is a destructive forest disease, caused by Fusarium zanthoxyli, poses a serious threat to the cultivation of Z. bungeanum. The lack of research on effector proteins in F.

High-resolution genetic and physical mapping reveals a peanut spotted wilt disease resistance locus, PSWDR-1, to Tomato spotted wilt virus (TSWV), within a recombination cold-spot on chromosome A01.

Background: Peanut (Arachis hypogaea L.) is a vital global crop, frequently threatened by both abiotic and biotic stresses. Among the most damaging biotic stresses is Tomato spotted wilt virus (TSWV), which causes peanut spotted wilt disease resulting in significant yield loss.

The amelioration effect of sesamoside on inflammatory response in septic shock.

Sepsis shock is caused by a systemic infection characterized by circulatory disorders and metabolic abnormalities. Microorganisms or their toxins enter the bloodstream, releasing inflammatory mediators and triggering systemic inflammatory reactions, leading to multiple organ dysfunction and even failure. To explore new treatment methods, we studied the improvement effect of sesamoside on the inflammatory response in septic shock.

Improving drug repositioning accuracy using non-negative matrix tri-factorization.

Drug repositioning is a transformative approach in drug discovery, offering a pathway to repurpose existing drugs for new therapeutic uses. In this study, we introduce the IDDNMTF model designed to predict drug repositioning opportunities with greater precision. The IDDNMTF model integrates multiple datasets, allowing for a more comprehensive analysis of drug-disease associations.

An interpretable machine learning-assisted diagnostic model for Kawasaki disease in children.

Kawasaki disease (KD) is a syndrome of acute systemic vasculitis commonly observed in children. Due to its unclear pathogenesis and the lack of specific diagnostic markers, it is prone to being confused with other diseases that exhibit similar symptoms, making early and accurate diagnosis challenging. This study aimed to develop an interpretable machine learning (ML) diagnostic model for KD.

Early warning method for charging thermal runaway of electric vehicle lithium-ion battery based on charging network.

New energy vehicles are becoming a new trend in global transportation development due to the renewable and environmentally friendly nature of the fuel they consume. At the same time, the charging safety of electric vehicle (EV) lithium-ion battery limits the development of the industry. This paper obtains charging data through the EV charging network, takes the lithium-ion battery charging temperature as the observation value, and proposes an early warning method for EV lithium-ion battery based on the charging network according to the nonlinear relationship between the temperature and the charging voltage, current, and battery status.

Optimal farm size reduces global poverty-induced soil antibiotic exposure risk.

Farming activities contribute to soil antibiotic pollution, posing health risks for rural farm workers, especially on small farms in impoverished regions. The effectiveness of large farms in reducing poverty-induced soil antibiotic exposure risk (SABER) remains uncertain. Here we integrate global datasets on concentration of soil antibiotics, rural farm-worker employments and on-farm working hours to quantify SABER.

Metabolic crosstalk between the mitochondrion and the nucleus is essential for Toxoplasma gondii infection.

Toxoplasma gondii, an intracellular pathogenic protist with a remarkable ability to infect a wide range of host cells, displays an equally exceptional design of its carbon metabolism. There are, however, critical gaps in our understanding of the metabolic network in T. gondii.

MIML: multiplex image machine learning for high precision cell classification via mechanical traits within microfluidic systems.

Label-free cell classification is advantageous for supplying pristine cells for further use or examination, yet existing techniques frequently fall short in terms of specificity and speed. In this study, we address these limitations through the development of a novel machine learning framework, Multiplex Image Machine Learning (MIML). This architecture uniquely combines label-free cell images with biomechanical property data, harnessing the vast, often underutilized biophysical information intrinsic to each cell.