组织器官通讯对骨骼肌发育的作用及调控机制研究进展

骨骼肌是动物机体最重要的器官之一,研究骨骼肌发育调控机制对于肌肉相关疾病的诊断以及家畜肉质的改善都有着重要意义。骨骼肌发育调控是一个复杂的过程,受到大量肌肉分泌因子和信号通路的调节。此外,为了维持体内代谢稳态并最大限度地利用能量,机体协调多个组织器官形成了复杂而又精密的代谢调控网络,对于调控骨骼肌发育也发挥着重要的作用。随着组学技术的发展,人们对于组织器官通讯的潜在机制进行了深入研究。本文综述了脂肪组织、神经组织、肠道等组织器官通讯对于骨骼肌发育的影响,以期为靶向调控骨骼肌发育提供理论基础。     

Regulatory components involved in altering lateral root development in response to localized iron: Evidence for natural genetic variation

On the search for sparingly available nutrients, plants may alter their root architecture to improve soil exploration. So far, the examples for root system modifications induced by a heterogeneous availability of nutrients have been reported for the macronutrients nitrogen (N) and phosphorous (P). In an attempt to extend this type of knowledge to other nutrients, we recently provided evidence that Arabidopsis roots are able to sense a local availability of the micronutrient iron (Fe) and to respond with lateral root elongation into the Fe-containing patch. This specific root response was caused by enhanced elongation of cells leaving the root meristem and was dependent on an AUX1-mediated auxin accumulation in the lateral root apices. In this report, we compare mechanisms underlying this response with those known for other nutrients and show that a substantial genotypic variation exists among accessions of A. thaliana in the responsiveness of lateral roots toward localized Fe supplies.     

The neuroinflammatory biomarker YKL-40 for neurodegenerative diseases: advances in development

Introduction: Neuroinflammation is a common pathophysiological mechanism in neurodegenerative diseases (ND). Cerebrospinal fluid (CSF) YKL-40 has recently been candidated as a neuroinflammatory biomarker of ND.

Areas covered: We provide an update on the role of CSF YKL-40 as a pathophysiological biomarker of ND. YKL-40 may discriminate Alzheimer’s disease (AD) from controls and may predict the progression from the early preclinical to the late dementia stage. In genetic AD, YKL-40 increases decades before the clinical onset. It does not seem a specific biomarker of a certain ND although sporadic Creutzfeldt–Jacob disease shows the highest YKL-40 concentrations. YKL-40 may discriminate between amyotrophic lateral sclerosis (ALS) and ALS-mimics. YKL-40 is potentially associated with the rate of ALS progression. YKL-40 correlates with biomarkers of neuronal injury, large axonal damage and synaptic disruption in various ND. It is not associated with the presence of the APOE-ε4 allele whereas possibly linked to aging, female sex, Hispanic ethnicity and some genetic variants of the chitinase-3-like 1 locus.

Expert opinion: There is growing evidence expanding the relevance of CSF YKL-40 as a pathophysiological biomarker for ND. Patients showing high YKL-40 levels might benefit from targeted clinical trials that use compounds acting against neuroinflammatory mechanisms, independently of the initial clinical diagnosis of ND.     

The simplex algorithm for the rapid identification of operating conditions during early bioprocess development: case studies in FAb' precipitation and multimodal chromatography

This study describes a data-driven algorithm as a rapid alternative to conventional Design of Experiments (DoE) approaches for identifying feasible operating conditions during early bioprocess development. In general, DoE methods involve fitting regression models to experimental data, but if model fitness is inadequate then further experimentation is required to gain more confidence in the location of an optimum. This can be undesirable during very early process development when feedstock is in limited supply and especially if a significant percentage of the tested conditions are ultimately found to be sub-optimal. An alternative approach involves focusing solely upon the feasible regions by using the knowledge gained from each condition to direct the choice of subsequent test locations that lead towards an optimum. To illustrate the principle, this study describes the application of the Simplex algorithm which uses accumulated knowledge from previous test points to direct the choice of successive conditions towards better regions. The method is illustrated by two case studies; a two variable precipitation example investigating how salt concentration and pH affect FAb' recovery from E. coli homogenate and a three-variable chromatography example identifying the optimal pH and concentrations of two salts in an elution buffer used to recover ovine antibody bound to a multimodal cation exchange matrix. Two-level and face-centered central composite regression models were constructed for each study and statistical analysis showed that they provided a poor fit to the data, necessitating additional experimentation to confirm the robust regions of the search space. By comparison, the Simplex algorithm identified a good operating point using 50% and 70% fewer conditions for the precipitation and chromatography studies, respectively. Hence, data-driven approaches have significant potential for early process development when material supply is at a premium.