Institut de Génétique Moléculaire de Montpellier CNRS-UMR 5535, 1919 Route de Mende, 34293 Montpellier, Cedex 5, France.
Published: July 2011
AI Article Synopsis
Article Abstract
Rheumatoid arthritis (RA) is a chronic inflammatory disease affecting synovial joints. Therapies blocking tumor necrosis factor-alpha (TNFα) are now routinely used in the management of RA. However, a significant number of patients with RA do not respond or develop resistance to anti-TNF therapies, and the participation of other cytokines in RA pathogenesis has been reported as well. Lymphotoxin alpha (LTα) is the closest homolog to TNFα and has been implicated in inflammation and autoimmunity since its original description in 1968. In spite of that, little is known about the role of LTα in RA or the potential of blocking this cytokine as an alternative therapeutic approach. In this review, we aim to summarize the general features of LTα and what is currently known about its participation in RA.
Background: Genetic markers are crucial for breeding crops with desired agronomic traits, and their development can be expedited using next-generation sequencing (NGS) and bioinformatics tools. Numerous tools have been developed to design molecular markers, enhancing the convenience, accuracy, and efficiency of molecular breeding. However, these tools primarily focus on genetic variants within short user-input sequences, despite the availability of extensive omics data for genomic variants.
Background: The order Rodentia is the largest group of mammals. Diversification of vocal communication has contributed to rodent radiation and allowed them to occupy diverse habitats and adopt different social systems. The mechanism by which efficient vocal sounds, which carry over surprisingly large distances, are generated is incompletely understood.
To address the limitations of weak information extraction of rolling bearing fault features and the poor generalization performance of diagnostic methods, a novel method was proposed based on sparrow search algorithm (SSA)-Variational Mode Decomposition (VMD) and refined composite multi-scale dispersion entropy (RCMDE). Firstly, SSA optimized the key parameters of VMD to decompose the fault signal. The time-frequency domain comprehensive evaluation factor algorithm was then employed to select the sensitive intrinsic mode function (IMF) components for reconstruction.
A complex interplay of genetic and environmental factors influences bacterial growth. Understanding these interactions is crucial for insights into complex living systems. This study employs a data-driven approach to uncover the principles governing bacterial growth changes due to genetic and environmental variation.
Background: Hypertrophic cardiomyopathy (HCM) is a common heritable heart disease where the most frequently associated mutations occur in the myosin-binding protein C () sarcomere-associated gene. HCM is also a common veterinary clinical problem in certain cat breeds such as Maine Coons and Ragdolls, also most associated with mutations in . Mouse models of HCM in which mutations are introduced recapitulate some, but not all, features of human HCM.
