AKR1D1 suppresses liver cancer progression by promoting bile acid metabolism-mediated NK cell cytotoxicity.

Bile acid metabolism and antitumor immunity are both disrupted during liver cancer progression. However, the complex regulatory relationship between them remains largely unclear. Here, we find that loss of aldo-keto reductase 1D1 (AKR1D1) promotes the accumulation of isolithocholic acid (iso-LCA) through gut microbiome dysregulation, thereby impairing the cytotoxic function of natural killer (NK) cells and leading to the accelerated development of hepatocellular carcinoma (HCC).

Deciphering the Effect of Postharvest 1-MCP Treatment Coupled with Low-Temperature Storage on the Physiological Activities and Edible Quality of Melon.

Fruits are an important source of a healthy diet due to their essential nutrients for daily intake. Melon is known as a significant fruit crop of the Cucurbitaceae family based on its various dietary benefits, but its shelf life needs to be maintained for long-term usage. 1-Methylcyclopropene (1-MCP) is a cyclopropene-derived synthetic plant growth regulator (PGR) that is used for significantly delaying the ripening process and maintaining the shelf life of climacteric fruits during storage.

A facile liquid biopsy assay for highly efficient CTCs capture and reagent-less monitoring of immune checkpoint PD-L1 expression on CTCs with non-small cell lung cancer patients.

Programmed cell death 1 ligand 1 (PD-L1) immunotherapy holds a pivotal role in lung cancer treatment. However, current methods for monitoring PD-L1 expression exhibit several limitations, including hysteresis and the invasive nature of tissue sampling. Circulating tumor cells (CTCs), the important biomarkers in liquid biopsy, are minimally invasive and facilitate continuous monitoring.

Cerebrospinal Fluid (CSF) Proteomic Signature in Preclinical and Clinical Alzheimer's disease (AD): Role of Adhesion Molecules.

Background: Although Amyloid-beta and Tau are the hallmarks of Alzheimer's Disease (AD), other protein pathways such as endothelial dysfunction may be involved and may precede cognitive symptoms. Our objective was to characterize the cerebrospinal fluid (CSF) proteomic profiles focusing on cardiometabolic-related protein pathways in individuals on the AD spectrum.

Methods: We performed CSF and plasma-targeted proteomics (276 proteins) from 354 participants of the Brain Stress Hypertension and Aging Program (BSHARP), of which 8% had preclinical AD, and 24% had MCI due to AD.

Rapid detection of Pan-Avian Influenza Virus and H5, H7, H9 subtypes of Avian Influenza Virus using CRISPR/Cas13a and lateral flow assay.

Avian Influenza Virus (AIV) has been prevalent worldwide in recent years, resulting in substantial economic losses in the poultry industry. More importantly, AIV is capable of cross-species transmission among mammals, posing a dormant yet considerable threat to human health and safety. In this study, two rapid detection methods for AIV based on the CRISPR-Cas13a were developed.

Technology literacy and access to digital resources for remote assessment among adults enrolled in Alzheimer's disease research.

Background: The SARS-CoV-2 pandemic accelerated development of innovative methods for conducting research remotely via digital technologies. However, few studies have examined participant technological literacy skills or access as key social determinants of brain health in aging populations at risk of Alzheimer's disease and other dementias.

Objective: To identify associations of sociodemographic and clinical characteristics, cognitive status and geolocation with digital technology access and skill within dementia research cohorts.

Signal pathways involved in contrast-induced acute kidney injury.

Contrast-induced acute kidney injury (CI-AKI) has emerged as a global public health concern, ranking as the third most prevalent cause of hospital-acquired acute kidney injury, which is related to adverse outcomes. However, its precise pathogenesis remains elusive. Consequently, researchers are dedicated to uncovering CI-AKI's pathophysiology and signaling pathways, including inflammation, oxidative stress, apoptosis, and ferroptosis, to improve prevention and treatment.

Transcriptomic analysis of melatonin on the mechanism of embryonic gonadal development in female Jilin white geese.

The goose industry represents a significant sector within the broader waterfowl industry in China, with early gonadal development playing a pivotal role in enhancing population productivity. Melatonin plays a crucial role in regulating early gonadal development, but the molecular mechanism underlying the effect of melatonin as a regulator remains unclear. In this study, the relationship between melatonin and egg production performance in Jilin white goose was first established, then, an in Ovo injection of melatonin in goose embryos on the embryonic day 12 (E12) was performed to evaluate the impact of melatonin on the gonadal development in Jilin white goose.

Targeting OXCT1-mediated ketone metabolism reprograms macrophages to promote antitumor immunity via CD8 T cells in hepatocellular carcinoma.

Background & Aims: The liver is the main organ of ketogenesis, while ketones are mainly metabolized in peripheral tissues via the critical enzyme 3-oxoacid CoA-transferase 1 (OXCT1). We previously found that ketolysis is reactivated in hepatocellular carcinoma (HCC) cells through OXCT1 expression to promote tumor progression; however, whether OXCT1 regulates antitumor immunity remains unclear.

Methods: To investigate the expression pattern of OXCT1 in HCC in vivo, we conducted multiplex immunohistochemistry experiments on human HCC specimens.

Alzheimer's disease cerebrospinal fluid biomarkers and kidney function in normal and cognitively impaired older adults.

Introduction: Recent Alzheimer's disease (AD) clinical trials have used cerebrospinal fluid (CSF) biomarker levels for screening and enrollment. Preliminary evidence suggests that AD risk is related to impaired renal function. The impact of kidney function on commonly used AD biomarkers remains unknown.

Dermal FOXO3 activity in response to Wnt/β-catenin signaling is required for feather follicle development of goose embryos (Anser cygnoides).

Feather is an important economic trait of poultry, and growth and development state of feathers plays an important role in the economic value of poultry. Dermal fibroblasts are required for structural integrity of the skin and for feather follicle development. How FOXO3 affects feather follicle development as skin tissues change during goose embryo (Anser cygnoides) development and growth is not well understood.

Unlocking the Molecular Variations of a Micron-Scale Amyloid Plaque in an Early Stage Alzheimer's Disease by a Cellular-Resolution Mass Spectrometry Imaging Platform.

Uncovering the molecular changes at the site where Aβ is deposited plays a critical role in advancing the diagnosis and treatment of Alzheimer's disease. However, there is currently a lack of a suitable label-free imaging method with a high spatial resolution for brain tissue analysis. In this study, we propose a modified desorption electrospray ionization (DESI) mass spectrometry imaging (MSI) method, called segmented temperature-controlled DESI (STC-DESI), to achieve high-resolution and high-sensitivity spatial metabolomics observation by precisely controlling desorption and ionization temperatures.

Reactive Matrices for MALDI-MS of Cholesterol.

Cholesterol is a critical molecule whose dysregulation in certain brain regions is related to multiple neurological disorders. It is of pathological importance to map the distribution of cholesterol in brain. Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) has been widely used in the molecular imaging of metabolites at a high spatial resolution.

Protein Tyrosine Phosphatase SHP2 in Macrophages Acts as an Antiatherosclerotic Regulator in Mice.

Background: Macrophages have versatile roles in atherosclerosis. SHP2 (Src homology 2 containing protein tyrosine phosphatase 2) has been demonstrated to play a critical role in regulating macrophage activation. However, the mechanism of SHP2 regulation of macrophage function in an atherosclerotic microenvironment remains unknown.

Determination of oxylipins and their precursors in breast milk by solid phase extraction-ultra high performance liquid chromatography-triple quadrupole tandem mass spectrometry.

Oxylipins and their precursors (long-chain polyunsaturated fatty acids, LCPUFAs) are key intercellular signaling molecules influencing the inflammatory response. Each oxylipin has pro- and/or anti-inflammatory effects, and the relative abundance of different oxylipins can alter the inflammatory balance, making it important to clarify the oxylipin profile of breast milk for optimal infant health. The extraction, identification, and simultaneous quantification of oxylipins in breast milk are challenging due to the structural similarity, limited stability, and the low endogenous concentration of oxylipins and the complex matrix of breast milk.

Subjective cognitive complaints in White and African American older adults: associations with demographic, mood, cognitive, and neuroimaging features.

Subjective cognitive complaints (SCC) in cognitively intact older adults have been investigated as a clinically important symptom that may portend the onset of a neurodegenerative disorder such as Alzheimer's disease. Few studies have concurrently incorporated demographic features, depressive symptoms, neuropsychological status, and neuroimaging correlates of SCC and evaluated whether these differ in White and African American older adults. In the current study, 131 (77 White, 54 African American) healthy participants ≥50 years old completed the Cognitive Function Instrument (CFI) to assess SCC, and they underwent objective cognitive testing, assessment of mood, and brain magnetic resonance imaging.

That H9N2 avian influenza viruses circulating in different regions gather in the same live-poultry market poses a potential threat to public health.

H9N2 avian influenza viruses are endemic and persistent in China, but those that are prevalent in different provinces are also causes of wide epidemics, related to the spread of wild birds and the cross-regional trade in live poultry. For the past 4 years, beginning in 2018, we have sampled a live-poultry market in Foshan, Guangdong, in this ongoing study. In addition to the prevalence of H9N2 avian influenza viruses in China during this period, we identified isolates from the same market belonging to clade A and clade B, which diverged in 2012-2013, and clade C, which diverged in 2014-2016, respectively.

Identification of Key Biomarkers and Candidate Molecules in Non-Small-Cell Lung Cancer by Integrated Bioinformatics Analysis.

Background: Non-small cell lung cancer (NSCLC) is the most prevalent malignant tumor of the lung cancer, for which the molecular mechanisms remain unknown. In this study, we identified novel biomarkers associated with the pathogenesis of NSCLC aiming to provide new diagnostic and therapeutic approaches for NSCLC by bioinformatics analysis.

Methods: From the Gene Expression Omnibus database, GSE118370 and GSE10072 microarray datasets were obtained.

Deep learning-assisted diagnosis of parotid gland tumors by using contrast-enhanced CT imaging.

Objectives: Imaging interpretation of the benignancy or malignancy of parotid gland tumors (PGTs) is a critical consideration prior to surgery in view of therapeutic and prognostic values of such discrimination. This study investigates the application of a deep learning-based method for preoperative stratification of PGTs.

Materials And Methods: Using the 3D DenseNet-121 architecture and a dataset consisting of 117 volumetric arterial-phase contrast-enhanced CT scans, we developed a binary classifier for PGT distinction and tested it.

SHP2 inhibition mitigates adaptive resistance to MEK inhibitors in KRAS-mutant gastric cancer through the suppression of KSR1 activity.

Despite the promising antitumor activity of RAF/MEK inhibitors for RAS-driven cancers, not all patients respond to these therapies. Adaptive resistance has been reported as a major culprit in non-responders, which can be reversed by SHP2 inhibitors (SHP2is) in multiple cancer cells; however, the underlying mechanisms remain unknown. In this study, we found that KRAS-mutant gastric cancer cells respond to MEK inhibitors (MEKis) with adaptive resistance.

PFAS-induced lipidomic dysregulations and their associations with developmental toxicity in zebrafish embryos.

Per- and polyfluoroalkyl substances (PFASs) are persistent environmental contaminants, posing developmental toxicity to fish and human. PFAS-induced lipid metabolism disorders were demonstrated using the zebrafish (Danio rerio) embryo model, but the detailed changes of lipid compositions and the influence of these changes on the biological development are still unclear. Herein, lipidomics analysis was performed to reveal the dysregulations of lipid metabolism in zebrafish embryos exposed to perfluorooctanoic acid (PFOA) or perfluorooctane sulfonate (PFOS) through microinjection.

Safety and biomarker effects of candesartan in non-hypertensive adults with prodromal Alzheimer's disease.

Observational studies suggest that angiotensin receptor blockers in hypertensive adults are associated with lower post-mortem indicators of Alzheimer's disease pathology. Candesartan, an angiotensin receptor blocker, has a positive cognitive effect in mild cognitive impairment with hypertension. However, its safety and effects in non-hypertensive individuals with Alzheimer's disease are unclear.

A Novel Domain Adversarial Networks Based on 3D-LSTM and Local Domain Discriminator for Hearing-Impaired Emotion Recognition.

Recent research on emotion recognition suggests that deep network-based adversarial learning has an ability to solve the cross-subject problem of emotion recognition. This study constructed a hearing-impaired electroencephalography (EEG) emotion dataset containing three emotions (positive, neutral, and negative) in 15 subjects. The emotional domain adversarial neural network (EDANN) was carried out to identify hearing-impaired subjects' emotions by learning hidden emotion information between the labeled data and the data with no-label.