Effects of water ammonia nitrogen on hemolymph and intestinal microbiota of Litopenaeus vannamei.

Ammonia stress was detrimental to shrimp, but how water ammonia nitrogen (ammonia-N) influences the shrimp's health remains unclear. Thus, this study was designed to investigate the effects of water ammonia-N on hemolymph ammonia-N concentration, hepatopancreas structure, and the intestinal microbiota of Litopenaeus vannamei with four experiments. We found that the concentration of ammonia-N in shrimp hemolymph was significantly higher than that in pond water, indicating that water ammonia-N stimulates the accumulation of hemolymph ammonia-N.

Regulation of autophagy by protein lipidation.

Autophagy is a conserved catabolic recycling pathway that can eliminate cytosolic materials to maintain homeostasis and organelle functions. Many studies over the past few decades have demonstrated that abnormal autophagy is associated with a variety of diseases. Protein lipidation plays an important role in the regulation of autophagy by affecting protein trafficking, localization, stability, interactions and signal transduction.

Partially hydrolyzed guar gum alleviates neurological deficits and gastrointestinal dysfunction in mice with traumatic brain injury.

Traumatic brain injury (TBI)-associated neuroinflammation and neurotoxicity can induce gastrointestinal dysfunction through the brain-gut axis. Partially hydrolyzed guar gum (PHGG) was demonstrated to exert beneficial health effects by altering gut microbiota and short-chain fatty acids (SCFAs) production. Our study aimed to explore the effects of PHGG on gastrointestinal dysfunction in TBI mouse models.

Comprehensive evaluation of groundwater quality in population-dense and extensive agricultural regions and study on its relationship with agricultural production and human activities.

Extensive agricultural regions commonly face issues of poor groundwater management, non-standard agricultural production practices, and unordered discharge of domestic pollution, leading to a continuous decline in groundwater quality and a sharp increase in risks. A comprehensive understanding of groundwater conditions and pollution is a crucial step in effectively addressing the water quality crisis. This study employs the Comprehensive Water Quality Index, Irrigation parameter, and Pollution Index to comprehensively investigate the groundwater quality in a typical agricultural area in Shandong, China, and assesses the suitability of groundwater for irrigation and the risks to human health.

Studying plant autophagy: challenges and recommended methodologies.

In plants, autophagy is a conserved process by which intracellular materials, including damaged proteins, aggregates, and entire organelles, are trafficked to the vacuole for degradation, thus maintaining cellular homeostasis. The past few decades have seen extensive research into the core components of the central autophagy machinery and their physiological roles in plant growth and development as well as responses to biotic and abiotic stresses. Moreover, several methods have been established for monitoring autophagic activities in plants, and these have greatly facilitated plant autophagy research.

Global identification and regulatory network analysis reveal the significant roles of lncRNAs during anther and pollen development in Arabidopsis.

A high-throughput sequencing identified 1283 lncRNAs in anthers at different stages in Arabidopsis and their relationship with protein-coding genes and miRNAs during anther and pollen development were analyzed. Long non-coding RNAs (lncRNAs) are important regulatory molecules involved in various biological processes. However, their roles in male reproductive development and interactions with miRNAs remained elusive.

Plasma-driven synthesis of nitrogen-doped graphene: unveiling the reaction mechanism and kinetic insights.

Context: The rotating arc plasma technique for the synthesis of nitrogen-doped graphene capitalizes on the distinctive attributes of plasma, presenting a straightforward, efficient, and catalyst-free strategy for the production of nitrogen-doped graphene. However, experimental outcomes generally fail to elucidate the atomic-level mechanism behind this process. Our research utilizes molecular dynamics simulations to explore theoretically the formation of radicals during the plasma-driven reaction between methane (CH₄) and nitrogen (N₂).

Three-dimensional MRI follicle segmentation and counting using SegmentWithSAM in the diagnosis of polycystic ovary syndrome.

Objective: This study aimed to investigate the diagnostic performance of Follicle numbers measured on ultrasound (US), conventional magnetic resonance imaging (2D MRI), and three-dimensional (3D) MRI in patients with polycystic ovary syndrome (PCOS) and to compare the diagnostic efficacy of these imaging modalities.

Method: In this prospective study, 58 PCOS patients and 60 healthy women underwent US, conventional 2D MRI, and 3D MRI. Clinical laboratory tests and ovarian volume were compared between PCOS and control groups.

Multiparametric MRI-based machine learning system of molecular subgroups and prognosis in medulloblastoma.

Objectives: We aimed to use artificial intelligence to accurately identify molecular subgroups of medulloblastoma (MB), predict clinical outcomes, and incorporate deep learning-based imaging features into the risk stratification.

Methods: The MRI features were extracted for molecular subgroups by a novel multi-parameter convolutional neural network (CNN) called Bi-ResNet-MB. Then, MR features were used to establish a prognosis model based on XGBoost.

(ZnO) Cluster Decorated 2D Porous CN Materials as Efficient Solar Cells.

Developing high-performance solar cells is a practical way to improve clean energy conversion efficiency. However, the performance of solar cells faces challenges such as fast carrier combination, poor stability, and limited solar light harvesting. Herein, we propose a strategy by decorating periodic holes in two-dimensional (2D) porous carbon-nitrogen (CN) materials with a zero-dimensional (0D) semiconducting (ZnO) cluster.

A High-Throughput Integrated Nontargeted Metabolomics and Lipidomics Workflow Using Microelution Enhanced Matrix Removal-Lipid for Comparative Analysis of Human Maternal and Umbilical Cord Blood Metabolomes.

Sample pretreatment for mass spectrometry (MS)-based metabolomics and lipidomics is normally conducted independently with two sample aliquots and separate matrix cleanup procedures, making the two-step process sample-intensive and time-consuming. Herein, we introduce a high-throughput pretreatment workflow for integrated nontargeted metabolomics and lipidomics leveraging the enhanced matrix removal (EMR)-lipid microelution 96-well plates. The EMR-lipid technique was innovatively employed to effectively separate and isolate non-lipid small metabolites and lipids in sequence using significantly reduced sample amounts and organic solvents.

FAP-targeted PET/CT imaging in patients with breast cancer from a prospective bi-center study: insights into diagnosis and clinic management.

Purpose: To evaluate the diagnostic accuracy and clinical impact of fibroblast activation protein (FAP)-targeted PET/CT imaging in primary and metastatic breast cancer and compare the results with those of standard-of-care imaging (SCI) and [F]FDG PET/CT.

Methods: We prospectively analyzed patients with diagnosed or suspected breast cancer who underwent concomitant FAP-targeted PET/CT (radiotracers including either [Ga]Ga-FAPI-46 or [F]FAPI-42) and [F]FDG PET/CT scans from June 2020 to January 2024 at two medical centers. Breast ultrasound (US) imaging was performed in all treatment-naïve patients as SCI.

An explainable transformer model integrating PET and tabular data for histologic grading and prognosis of follicular lymphoma: a multi-institutional digital biopsy study.

Background: Pathological grade is a critical determinant of clinical outcomes and decision-making of follicular lymphoma (FL). This study aimed to develop a deep learning model as a digital biopsy for the non-invasive identification of FL grade.

Methods: This study retrospectively included 513 FL patients from five independent hospital centers, randomly divided into training, internal validation, and external validation cohorts.

Comparisons among radiologist, MR findings and radiomics-clinical models in predicting placenta accreta spectrum disorders: a multicenter study.

Objective: To assess and compare the diagnostic accuracy of radiologist, MR findings, and radiomics-clinical models in the diagnosis of placental implantation disorders.

Methods: Retrospective collection of MR images from patients suspected of having placenta accreta spectrum (PAS) was conducted across three institutions: Institution I (n = 505), Institution II (n = 67), and Institution III (n = 58). Data from Institution I were utilized to form a training set, while data from Institutions II and III served as an external test set.

Development and Validation of Machine Learning Models for Risk Prediction of Postpartum Stress Urinary Incontinence: A Prospective Observational Study.

Introduction And Hypothesis: This study aims to develop a postpartum stress urinary incontinence (PPSUI) risk prediction model based on an updated definition of PPSUI, using machine learning algorithms. The goal is to identify the best model for early clinical screening to improve screening accuracy and optimize clinical management strategies.

Methods: This prospective study collected data from 1208 postpartum women, with the dataset randomly divided into training and testing sets (8:2).

Multiplex Nontargeted Framework Enables Tracking Metabolic Profile of Oxymetholone and Methasterone In Vivo at Nanogram Level by GC-Orbitrap-HRMS for Antidoping Purpose.

Oxymetholone and methasterone are anabolic androgenic steroids prohibited by the World Anti-Doping Agency (WADA) for both in-competition and out-of-competition use. Detecting metabolites of exogenous steroids is crucial for establishing doping violations, making the study of these metabolites essential in antidoping efforts. This study investigated the urinary metabolic profiles of oxymetholone and methasterone using gas chromatography-orbitrap high-resolution mass spectrometry (GC-Orbitrap-HRMS) in nanogram level by utilizing a novel multiplex nontargeted framework protocol.

Direct Cross-Couplings of Aryl Nonaflates with Aryl Bromides under Nickel Catalysis.

The direct cross-couplings of aryl nonaflates with aryl bromides could be successfully accomplished by utilizing nickel as the catalyst, magnesium as the metal mediator, and lithium chloride as the additive. The reactions proceeded efficiently in THF at room temperature to produce the desired biaryls in moderate to good yields, showing both a reasonable substrate scope and functional group tolerance. Additionally, an equally good performance could be realized when the reaction was subjected to scale-up synthesis.

Serine Hydrolase-Catalyzed Polyol Lipids are Necessary for Rodlet Layer Formation on the Cell Wall of Entomopathogenic Fungi.

Some key secondary metabolism genes are important for driving the infection process of entomopathogenic fungi; however, their chemical substance basis has not been well investigated. Here, mixtures of polyol lipids are discovered, which are synthesized through iterative chain transfer-esterification-hydrolysis cycles catalyzed by serine hydrolase during the release of online highly reducing polyketide intermediates. Importantly, an gene knockout experiment revealed that the synthesis of polyol lipids is necessary for rodlet layer formation on the cell wall of .

Cost of lung cancer diagnosis: cost differences between national health system and private sector.

Lung cancer is still diagnosed at an advanced stage due to lack of early disease symptoms. We have techniques and equipment for rapid on site evaluation of pulmonary lesions. However, with new technology or a combination of technologies in the diagnostic suite the cost of biopsy is rising.

In-Cell Mass Spectrometry and Ultraviolet Photodissociation Navigates the Intracellular Protein Heterogeneity.

Directly probing the heterogeneous conformations of intracellular proteins within their native cellular environment remains a significant challenge in mass spectrometry (MS). Here, we establish an in-cell MS and ultraviolet photodissociation (UVPD) strategy that directly ejects proteins from living cells into a mass spectrometer, followed by 193 nm UVPD for structural analysis. Applying this approach to calmodulin (CaM), we reveal that it adopts more extended conformations within living cells compared with purified samples , highlighting the unique influence of intracellular environments on protein folding.

Rapid Electrochemical Uranium Extraction from Real Seawater via the Intermediate of Vacancy-Trapped Isolated Uranyl.

Electrochemical uranium extraction from seawater is a vital project for the sustainable development of the nuclear industry, which requires selective intrinsic binding sites for uranyl. In this work, oxygen vacancies (O vacancies) were developed as an atomically identified confinement for uranyl, and thus, rapid uranium extraction from seawater was achieved. In a short period of 700 s, InO nanosheets with rich O vacancies (V-rich InO nanosheets) exhibited a high extraction efficiency of 88.

Anti-GPC3 antibody and cell-penetrating peptide CPP44 dual-ligand modified liposomes for targeted delivery of arsenic trioxide in the treatment of hepatocellular carcinoma.

Arsenic trioxide (ATO), the active ingredient in Chinese arsenic, effectively inhibits hepatocellular carcinoma (HCC) cell growth, but its clinical application is limited by the lack of a targeted delivery system. Phosphatidylinositol proteoglycan 3 (GPC3) is specifically expressed in HCC, and CPP44 is a cell-penetrating peptide that targets HCC cells. Here, we developed a liposome incorporating ATO with dual surface modifications of anti-GPC3 antibody and CPP44.

Distinct seasonality of nutrients in twigs and leaves of temperate trees.

Seasonal variations of nutrients in different organs are an essential strategy for temperate trees to maintain growth and function. The seasonal variations and variability (i.e.