TNIP3 overexpression protects against arrhythmogenic remodeling in the heart failure mice.

Aims: Ventricular arrhythmias (VAs), which can lead to sudden cardiac death, are the primary cause of mortality in patients with heart failure (HF). However, the precise mechanisms underlying these arrhythmias are not well understood. Recent studies have implicated tumor necrosis factor alpha-induced protein 3-interacting protein 3 (TNIP3) in pathological cardiac hypertrophy.

Efficient Degradation of Ciprofloxacin in Water Using nZVI/g-CN Enhanced Dielectric Barrier Discharge Plasma Process.

Residual antibiotics in aquatic environments pose health and ecological risks due to their persistence and resistance to biodegradation. Thus, it is crucial to develop efficient technologies for the degradation of such antibiotics. This study presents a novel approach using a nano zero-valent iron/graphitic carbon nitride (nZVI/g-CN)-enhanced dielectric barrier discharge (DBD) plasma process for the degradation of ciprofloxacin (CIP).

The pathogenesis of depression: roles of connexin 43-based gap junctions and inflammation.

Background: Depression is a leading chronic mental illness worldwide, characterized by anhedonia and pessimism. Connexin is a kind of widely distributed protein in the body. Connexin 43 (Cx43) plays an important role in the pathogenesis of depression.

Multiscale Understanding of Anion Exchange Membrane Fuel Cells: Mechanisms, Electrocatalysts, Polymers, and Cell Management.

Anion exchange membrane fuel cells (AEMFCs) are among the most promising sustainable electrochemical technologies to help solve energy challenges. Compared to proton exchange membrane fuel cells (PEMFCs), AEMFCs offer a broader choice of catalyst materials and a less corrosive operating environment for the bipolar plates and the membrane. This can lead to potentially lower costs and longer operational life than PEMFCs.

Multifunctional Organic Molecule for Defect Passivation of Perovskite for High-Performance Indoor Solar Cells.

Perovskite solar cells (PSCs) can utilize the residual photons from indoor light and continuously supplement the energy supply for low-power electron devices, thereby showing the great potential for sustainable energy ecosystems. However, the solution-processed perovskites suffer from serious defect stacking within crystal lattices, compromising the low-light efficiency and operational stability. In this study, we designed a multifunctional organometallic salt named sodium sulfanilate (4-ABS), containing both electron-donating amine and sulfonic acid groups to effectively passivate the positively-charged defects, like under-coordinated Pb ions and iodine vacancies.

Strategies for phosphorus management and greenhouse gas reduction via plant harvesting in the water-level fluctuation zone of the Three Gorges Reservoir.

The water-level fluctuation zones (WLFZ) in Three Gorges Reservoir encounter several ecological challenges, particularly potential greenhouse gas (GHG) emissions and water eutrophication due to water level variations. Therefore, to address those challenges, our study explores the relationships between soil properties (Phosphorus cycle), plant conditions, microbial community, and GHG emissions. Our findings reveal that aboveground plants are the key link in the WLFZ ecosystem, which has previously been overlooked.

Enhanced Osteoporosis Treatment via Nano Drug Coating Encapsulating GG.

Osteoporosis is the most common systemic skeletal disorder, particularly associated with aging and postmenopausal women. With the growing knowledge about the gut-bone axis, the therapeutic strategies for osteoporosis have been shifted toward regulating gut microbiota to promote positive bone metabolism. Although GG (LGG) is widely reported to positively regulate bone metabolism by restoring the dysbiotic microbiome, oral administration is associated with sensitivity to gastric fluid and low bioavailability.

Interpretable CT Radiomics-based Machine Learning Model for Preoperative Prediction of Ki-67 Expression in Clear Cell Renal Cell Carcinoma.

Rationale And Objectives: To develop and externally validate interpretable CT radiomics-based machine learning (ML) models for preoperative Ki-67 expression prediction in clear cell renal cell carcinoma (ccRCC).

Methods: 506 patients were retrospectively enrolled from three independent institutes and divided into the training (n=357) and external test (n=149) sets. Ki67 expression was determined by immunohistochemistry (IHC) and categorized into low (<15%) and high (≥15%) expression groups.

Aged polylactic acid microplastics with ultraviolet irradiation stunted pakchoi (Brassica chinensis L.) germination and growth with cadmium in hydroponics.

The presence of biodegradable microplastics (BMPs) alongside toxic metals in soil significantly threatens plant health. Current research mainly focuses on the effects of original BMPs. In contrast, the specific impacts of ultraviolet (UV)-aged BMPs and their interaction with Cadmium (Cd) on seed germination and growth are unclear.

A generalist medical language model for disease diagnosis assistance.

The delivery of accurate diagnoses is crucial in healthcare and represents the gateway to appropriate and timely treatment. Although recent large language models (LLMs) have demonstrated impressive capabilities in few-shot or zero-shot learning, their effectiveness in clinical diagnosis remains unproven. Here we present MedFound, a generalist medical language model with 176 billion parameters, pre-trained on a large-scale corpus derived from diverse medical text and real-world clinical records.

Accelerating repair of infected bone defects through post-reinforced injectable hydrogel mediated antibacterial/immunoregulatory microenvironment at bone-hydrogel interface.

Functional injectable hydrogel (IH) is promising for infected bone defects (IBDs) repair, but how to endow it with desired antibacterial/immunoregulatory functions as well as avoid mechanical failures during its manipulation has posed as main challenges. Herein, rosmarinic acid (RosA), a natural product with antibacterial/immunoregulatory activities, was utilized to develop a FCR IH through forming phenylboronic acid ester bonds with 4-formylphenyl phenylboronic acid (4-FPBA) grafted chitosan (CS) (FC). After being applied to the IBD site, the FCR IH was then injected with tobramycin (Tob) solution, another alkaline antibacterial drug, to induce in situ crystallization of the FC, endowing the resultant FCRT hydrogel with adaptively enhanced mechanical strength and structural stability.

Impact of normocapnia vs. mild hypercapnia on prognosis after cardiac arrest: A systematic review and meta-analysis.

Objective: To explore the impact of mild hypercapnia or normocapnia on the prognosis of patients after the return of spontaneous circulation (ROSC) following cardiac arrest (CA).

Methods: This systematic review and meta-analysis followed the guidelines in the PROSPERO report. Information was retrieved in PubMed, Cochrane Library, Embase, and Web of Science to collect all publications in English from January 1, 2000, to March 1, 2024, involving post-CA with mild hypercapnia.

Biomimetic Cerium-Assisted Supra-Carbon Dots Assembly for Reactive Oxygen Species-Activated Atherosclerosis Theranostic.

Theranostic applications in atherosclerosis plaque microenvironment-triggered nanoplatforms are significantly compromised by the complex synthesis procedure, non-specific distribution, and limited therapeutic function. Therefore, development of a facile and feasible method to construct a pathology-based stimuli-responsive nanoplatform with satisfactory theranostic performance remains a demanding and highly anticipated goal. Herein, a novel class of multifunctional supra-carbon dots (CDs), denoted as MM@Ce-CDs NPs, by a simple nanoassembly and a subsequent coating with macrophage membrane (MM), is developed for the targeted reactive oxygen species-trigged theranostic and positive regulation of the pathological plaque microenvironment in AS.

Comparative chloroplast genome analysis of five widespread species ( L.) and development of molecular markers for their discrimination.

Background: Zanthoxylum L., an important genus in the Rutaceae family, has great edible and medical values. However, the high degree of morphological similarity among species and the lack of sufficient chloroplast (cp) genomic resources have greatly impeded germplasm identification and phylogenetic analyses of

Methods: Here we assembled cp genomes of five widespread species (, , , and ) in China as a case study, comparative analysis of these assembled cp genomes.

Ultrasound radiomics model based on grayscale transrectal ultrasound-guided biopsy for diagnosing prostate cancer and predicting distant metastasis.

Objective: A prostate ultrasound (US) imaging omics model was established to assess its effectiveness in diagnosing prostate cancer (PCa), predicting Gleason score (GS), and determining the likelihood of distant metastasis.

Methods: US images of patients with prostate pathology confirmed by biopsy or surgery at our hospital were retrospectively analyzed. Regions of interest (ROI) segmentation, feature extraction, feature screening, and the construction and training of the radiomics model were performed.

HCG18 Promotes Cell Proliferation and Stemness in Cholangiocarcinoma via the miR-194-5p/KRT18/MAPK Signaling.

Accumulating evidence has demonstrated that Keratin18 (KRT18) functions as a pivotal gene in the progression of various cancers. However, its role in cholangiocarcinoma (CCA) remains unexplored. Our study elucidated the biological functions and underlying mechanisms of KRT18 in CCA.

Invasive Eye Infection Caused by Trichoderma Harzianum.

Trichoderma is a widely distributed thermophilic fungus that grows on moist soil, fallen leaves, and rotten wood. It plays an important role in agricultural production, food processing, and soil. However, some forms of Trichoderma can infect humans.

Noninvasive Oral Hyperspectral Imaging-Driven Digital Diagnosis of Heart Failure With Preserved Ejection Fraction: Model Development and Validation Study.

Background: Oral microenvironmental disorders are associated with an increased risk of heart failure with preserved ejection fraction (HFpEF). Hyperspectral imaging (HSI) technology enables the detection of substances that are visually indistinguishable to the human eye, providing a noninvasive approach with extensive applications in medical diagnostics.

Objective: The objective of this study is to develop and validate a digital, noninvasive oral diagnostic model for patients with HFpEF using HSI combined with various machine learning algorithms.

The Dual Role of ADAMTS9-AS1 in Various Human Cancers: Molecular Pathogenesis and Clinical Implications.

Long non-coding RNA (lncRNA) is a type of non-coding RNA distinguished by a length exceeding 200 nucleotides. Recent studies indicated that lncRNAs participate in various biological processes, such as chromatin remodeling, transcriptional and post-transcriptional regulation, and the modulation of cell proliferation, death, and differentiation, hence influencing gene expression and cellular function. ADAMTS9-AS1, an antisense long non-coding RNA situated on human chromosome 3p14.

Effects of Acceptance and Commitment Care in the Treatment of Aplastic Anemia Patients with Recombinant Human Thrombopoietin.

Background: This study was designed to determine the effects of acceptance and commitment care in the treatment of aplastic anemia (AA) patients with recombinant human thrombopoietin (rhTPO).

Methods: The clinical records of 100 AA patients treated at our hospital from March 2021 to March 2023 were analyzed in the retrospective study. All patients received immunosuppressants and rhTPO.

Energy-Efficient Collision-Free Machine/AGV Scheduling Using Vehicle Edge Intelligence.

With the widespread use of autonomous guided vehicles (AGVs), avoiding collisions has become a challenging problem. Addressing the issue is not straightforward since production efficiency, collision avoidance, and energy consumption are conflicting factors. This paper proposes a novel edge computing method based on vehicle edge intelligence to solve the energy-efficient collision-free machine/AGV scheduling problem.