Clinico-pathological factors and [F]FDG PET/CT metabolic parameters for prediction of progression-free survival in radioiodine refractory differentiated thyroid carcinoma.

Objective: Identifying prognostic markers for clinical outcomes is crucial in selecting appropriate treatment options for patients with radioiodine-refractory (RAI-R) differentiated thyroid carcinoma (DTC). The aim of this study was to investigate the prognostic value of clinico-pathological features and semiquantitative [F]FDG PET/CT metabolic parameters in predicting progression-free survival (PFS) in DTC patients with RAI-R.

Patients And Methods: This prospective cohort study included 110 consecutive RAI-R DTC patients who were referred for [F]FDG PET/CT imaging.

Enhanced prediction of beta-secretase inhibitory compounds with mol2vec technique and machine learning algorithms.

A comprehensive computational strategy that combined QSAR modelling, molecular docking, and ADMET analysis was used to discover potential inhibitors for β-secretase 1 (BACE-1). A dataset of 1,138 compounds with established BACE-1 inhibitory activities was used to build a QSAR model using mol2vec descriptors and support vector regression. The obtained model demonstrated strong predictive performance (training set:  = 0.

The protective role of anti-parkinsonian drugs in pancreatic cancer risk: A comprehensive case-control study in Taiwan.

Pancreatic cancer is among the deadliest cancers, with a grim prognosis despite advances in treatment. We conducted a population-based case-control study from Taiwan, linking Health and Welfare Data Science Center data to the Taiwan Cancer Registry, which offers a promising strategy for its treatment through drug repurposing. The study aims to identify the association of anti-parkinsonian drugs with pancreatic cancer risk across different age groups.

The impact of qualitative [18F]FDG PET/CT in predicting clinical outcomes of post-surgical differentiated thyroid cancer patients with elevated thyroglobulin and negative radioiodine whole-body scan.

Background: [F]FDG PET/CT has been widely used as a diagnostic tool in detection and localization of recurrent non-avid radioiodine lesions in post-operative differentiated thyroid cancer (DTC) patients with elevated serum thyroglobulin but negative radioiodine whole-body scan (TENIS) syndrome. The aim of our study was to evaluate the role of [F]FDG PET/CT in prediction on outcomes of these DTC patients.

Methods: Post-operative DTC patients with TENIS syndrome were collected in the department of nuclear medicine, Hospital 108 from 2019 to 2023.

Anti-NMDA receptor autoimmune encephalitis associated with ovarian teratoma: A case series and literature review.

Autoimmune encephalitis is a group of disorders characterized by symptoms of dysfunction of the limbic and extra-limbic systems that occur in association with antibodies against intracellular antigens, synapses, or proteins located on the surface of nerve cells. Anti-NMDA (N-methyl-D-aspartate) receptor encephalitis was first described in 2007 and has become one of the most commonly recognized autoimmune encephalitides. The disease is predominantly female (81%) and affects young patients (37% <18 years old, 95% <45 years old), with up to 58% of women over 18 years old having ovarian teratoma.

Lipopolysaccharide-Induced Delirium-Like Behavior and Microglial Activation in Mice Correlate With Bispectral Electroencephalography.

Delirium is a multifactorial medical condition characterized by impairment across various mental functions and is one of the greatest risk factors for prolonged hospitalization, morbidity, and mortality. Research focused on delirium has proven to be challenging due to a lack of objective measures for diagnosing patients, and few laboratory models have been validated. Our recent studies report the efficacy of bispectral electroencephalography (BSEEG) in diagnosing delirium in patients and predicting patient outcomes.

Exploring possible controlling factors of spatial distribution of microplastics in sediments of a river segment (Loire River, France).

Microplastics (MP) have been reported in many rivers across the globe but their depositional and archiving mechanisms in sediments are not fully understood yet. The aim of this study was to identify potential controlling factors of MP spatial distribution in surface sediment after a characterisation (sediment composition, hydrological conditions, sedimentary environment) of 14 sampling sites in an 8 km segment of the Loire river. Samples were collected from 3 sedimentary environments (sandbars, riverbanks and semi-active channels) with diverse flooding frequencies, grain size distributions and total organic carbon (TOC) contents.

Effects of Organic Substrate Amendments on Selected Organic Fractions and Biochemical Parameters under Different Soils.

The application of organic substrates can affect soil respiration, dehydrogenase (DH-ase) activity, dissolved organic carbon (DOC), and humic acid (HA) fractions. This study aimed to evaluate the effects of five organic substrates in the organic fractions of degraded alluvial soil, acid sulfate soil, and sandy soils and the physicochemical properties of the soil. Soil samples were amended at a rate of 5 tons ha with (1) water hyacinth compost, (2) sugarcane filter cake compost, (3) biogas sludge-rice straw compost, (4) vermicompost, and (5) sludge.

Hypothetical acceptability of minimally invasive tissue sampling and considerations for practice: A qualitative study in Vietnam.

The exact aetiology of the cause of death (COD) remains unknown for a high proportion of deaths caused by infectious diseases. Complete diagnostic autopsy (CDA) is considered the gold standard to determine COD, but it is often not used in low and middle-income countries (LMIC), including Vietnam, for a variety of reasons. One alternative is minimally invasive tissue sampling (MITS).

Effect of coatings containing 1-methylcyclopropane or mandarin peel extract on the freshness and metabolic profiles of cold stored strawberry.

The application of coatings is a strategy for maintaining the freshness of highly perishable fruits. This research aimed to evaluate the quality indices of strawberries (Amaou) coated with new coatings based on the sodium carboxymethyl cellulose (CMC) and cellulose nanofibres (CNF) with incorporated mandarin peel extract (ME) or 1-methylcyclopropene (1-MCP) during storage at 20days at 5 °C and 85% relative humidity (RH). Dissolving the coating solution containing ME in 1-MCP maintained its colour for up to 50 days.

Expression of SUMO and NF-κB genes in hepatitis B virus-associated hepatocellular carcinoma patients: An observational study.

Alterations in signaling pathways and modulation of cell metabolism are associated with the pathogenesis of cancers, including hepatocellular carcinoma (HCC). Small ubiquitin-like modifier (SUMO) proteins and NF-κB family play major roles in various cellular processes. The current study aims to determine the expression profile of SUMO and NF-κB genes in HCC tumors and investigate their association with the clinical outcome of HCC.

Novel Semi-Nested Real-Time PCR Assay Leveraging Extendable Blocking Probes for Improved Methylation Analysis in Lung Cancer.

Lung cancer is the leading cause of cancer deaths globally, necessitating effective early detection methods. Traditional diagnostics like low-dose computed tomography (LDCT) often yield high false positive rates. gene methylation has emerged as a promising biomarker.

In silico screening of Fyn kinase inhibitors using classification-based QSAR model, molecular docking, molecular dynamics and ADME study.

This study aimed to use a computational approach that combined the classification-based QSAR model, molecular docking, ADME studies, and molecular dynamics (MD) to identify potential inhibitors of Fyn kinase. First, a robust classification model was developed from a dataset of 1,078 compounds with known Fyn kinase inhibitory activity, using the XGBoost algorithm. After that, molecular docking was performed between potential compounds identified from the QSAR model and Fyn kinase to assess their binding strengths and key interactions, followed by MD simulations.

The Bispectral Electroencephalography Method Quantifies Postoperative Delirium-Like States in Young and Aged Male Mice After Head-Mount Implantation Surgery.

Delirium, a syndrome characterized by an acute change in attention, awareness, and cognition, is commonly observed in older adults, although there are few quantitative monitoring methods in the clinical setting. We developed a bispectral electroencephalography (BSEEG) method capable of detecting delirium and can quantify the severity of delirium using a novel algorithm. Preclinical application of this novel BSEEG method can capture a delirium-like state in mice following lipopolysaccharide administration.

Enhancing catalytic activity of CuCoFe-layered double oxide towards peroxymonosulfate activation by coupling with biochar derived from durian peel for antibiotic degradation: The role of C=O in biochar and underlying mechanism of built-in electric field.

CuCoFe-LDO/BCD was successfully synthesized from CuCoFe-LDH and biochar derived from durian shell (BCD). Ciprofloxacin (CFX) degraded more than 95% mainly by O and O in CuCoFe-LDO/BCD(2/1)/PMS system within 10 min with a rate constant of 0.255 min, which was 14.

Anthropogenic particle abundance and characteristics in seawater and intertidal sediments of the Tonkin Bay Coast (North Vietnam).

Microplastics (MPs, plastic items from 1 µm to 5 mm in size) are present in all environmental compartments. The evaluation of their concentration, fate, and spatial distribution is still a challenge for the scientific community. This concern is just debuting in developing countries, (i.

Epidural injection-related pneumorrhachis: A case report with cauda equina syndrome.

Pneumorrhachis (PR) is an uncommon condition characterized by the accumulation of air within the spinal canal. This finding may occur due to various causes, mostly after trauma and medical procedures. It can manifest with various features depending on the underlying cause, the location, and the extent of the air trapped.

Identification of potential FAK inhibitors using mol2vec molecular descriptor-based QSAR, molecular docking, ADMET study, and molecular dynamics simulation.

This study aims to identify potential focal adhesion kinase (FAK) inhibitors through an integrated computational approach, combining mol2vec descriptor-based QSAR, molecular docking, ADMET study, and molecular dynamics simulation. A dataset of 437 compounds with known FAK inhibitory activities was used to develop QSAR models using machine learning algorithms combined with mol2vec descriptors. Subsequently, the most promising compounds were subjected to molecular docking against FAK to evaluate their binding affinities and key interactions.