Reliability of baseline self-reported information in the AGRICAN cohort.

PURPOSE: An important challenge in epidemiology is to ensure the reliability of collected data. Very few studies have been conducted in farming populations. We assessed the reliability of self-reported data on lifestyle, reproductive history, health and agricultural activities and tasks from the AGRICAN cohort. METHODS: Our analysis focused on 739 individuals from the 181,842 cohort members who completed the questionnaire twice between 2005 and 2007 with a median time interval of 452 days. Consistency in the responses to questionnaire items (lifestyle, health and agricultural activities including pesticide treatments) was assessed by the percentage of exact agreement (PA), Cohen's Kappa value (K) and the intraclass correlation coefficient (ICC). RESULTS: Agreement was substantial to almost perfect for education, smoking, reproductive history and most health indicators (K/ICC > 0.61). Agreement was moderate for alcohol consumption and fair for diet. Agreement was substantial for animal and crop farming activities and tasks such as pesticide use on crops and protective equipment use (PA 81-99%, K/ICC 0.61-0.96). Most tasks showed moderate to substantial agreement, except a few with low agreement. Substantial to perfect agreement was observed for the duration of tasks, based on exact years of beginning and ending. CONCLUSION: Farmers' answers appeared reliable for most occupational data, including data used to assess individual exposure to specific pesticides, and for most potential confounders.

Quinazoline-based VEGFR-2 inhibitors as potential anti-angiogenic agents: A contemporary perspective of SAR and molecular docking studies.

Angiogenesis, the formation of new blood vessels from the existing vasculature, is pivotal in the migration, growth, and differentiation of endothelial cells in normal physiological conditions. In various types of tumour microenvironments, dysregulated angiogenesis plays a crucial role in supplying oxygen and nutrients to cancerous cells, leading to tumour size growth. VEGFR-2 tyrosine kinase has been extensively studied as a critical regulator of angiogenesis; thus, inhibition of VEGFR-2 has been widely used for cancer treatments in recent years. Quinazoline nucleus is a privileged and versatile scaffold with a broad range of pharmacological activity, especially in the field of tyrosine kinase inhibitors with more than twenty small molecule inhibitors approved by the US Food and Drug Administration in the last two decades. As of now, the U.S. FDA has approved eleven small chemical inhibitors of VEGFR-2 for various types of malignancies, with a prime example being vandetanib, a quinazoline derivative, which is a multi targeted kinase inhibitor used for the treatment of late-stage medullary thyroid cancer. Despite of prosperous discovery and development of VEGFR-2 down regulator drugs, there still exists limitations in clinical efficacy, adverse effects, a high rate of clinical discontinuation and drug resistance. Therefore, there is an urgent need for the design and synthesis of more selective and effective inhibitors to tackle these challenges. Through the gathering of this review, we have strived to broaden the extent of our view over the entire scope of quinazoline-based VEGFR-2 inhibitors. Herein, we give an overview of the importance and advancement status of reported structures, highlighting the SAR, biological evaluations and their binding modes.

Towards a partial order graph for interactive pharmacophore exploration: extraction of pharmacophores activity delta.

This paper presents a novel approach called Pharmacophore Activity Delta for extracting outstanding pharmacophores from a chemogenomic dataset, with a specific focus on a kinase target known as BCR-ABL. The method involves constructing a Hasse diagram, referred to as the pharmacophore network, by utilizing the subgraph partial order as an initial step, leading to the identification of pharmacophores for further evaluation. A pharmacophore is classified as a 'Pharmacophore Activity Delta' if its capability to effectively discriminate between active vs inactive molecules significantly deviates (by at least δ standard deviations) from the mean capability of its related pharmacophores. Among the 1479 molecules associated to BCR-ABL binding data, 130 Pharmacophore Activity Delta were identified. The pharmacophore network reveals distinct regions associated with active and inactive molecules. The study includes a discussion on representative key areas linked to different pharmacophores, emphasizing structure-activity relationships.

On the Tracks of the Aggregation Mechanism of the PHF6 Peptide from Tau Protein: Molecular Dynamics, Energy, and Interaction Network Investigations.

The formation of neurofibrillary tangles (NFTs), composed of tau protein aggregates, is a hallmark of some neurodegenerative diseases called tauopathies. NFTs are composed of paired helical filaments (PHFs) of tau protein with a dominant ß-sheet secondary structuration. The NFT formation mechanism is not known yet. This study focuses on PHF6, a crucial hexapeptide responsible for tau aggregation. A 2 µs molecular dynamics simulation was launched to determine the keys of the PHF6 aggregation mechanism. Hydrogen bonding, van der Waals, and other non-covalent interactions as π-stacking were investigated. Parallel aggregation was slightly preferred due to its adaptability, but antiparallel aggregation remained widely present during the PHF6 aggregation. The analysis highlighted the leading role of hydrogen bonds identified at the atomic level for each aggregation process. The aggregation study emphasized the importance of Tyr310 during the ß-sheets' complexation through π-stacking.

Tau protein aggregation: Key features to improve drug discovery screening.

Tauopathies are neurodegenerative disorders associated with the accumulation of abnormal tubulin associated unit (tau) protein in the brain. Tau pathologies include a broad spectrum of diseases, with Alzheimer's disease (AD) being the most common tauopathy. The pathophysiological mechanisms of AD are still only partially understood. As a consequence, attempts to establish therapeutic approaches have led to numerous clinical trial failures and, to date, no curative treatment is available for AD despite the considerable number of research programs. Therefore, over the past decade, the aggregation of the tau protein in AD has become a therapeutic target of interest. In this review, we gather in silico, in vitro, and in vivo methodologies that are relevant to assess compounds targeting tau aggregation, from early drug design to clinical trials.