The anti-diabetic effects of GLP-1-gastrin dual agonist ZP3022 in ZDF rats

Aims/hypothesisCombination treatment with exendin-4 and gastrin has proven beneficial in treatment of diabetes and preservation of beta cell mass in diabetic mice. Here, we examined the chronic effects of a GLP-1-gastrin dual agonist ZP3022 on glycemic control and beta cell dysfunction in overtly diabetic Zucker Diabetic Fatty (ZDF) rats.MethodsZDF rats aged 11 weeks were dosed s.c., b.i.d. for 8 weeks with vehicle, ZP3022, liraglutide, exendin-4, or gastrin-17 with or without exendin-4. Glycemic control was assessed by measurements of HbA1c and blood glucose levels, as well as glucose tolerance during an oral glucose tolerance test (OGTT). Beta cell dynamics were examined by morphometric analyses of beta and alpha cell fractions.ResultsZP3022 improved glycemic control as measured by terminal HbA1c levels (6.2 ± 0.12 (high dose) vs. 7.9 ± 0.07% (vehicle), P < 0.001), as did all treatments, except gastrin-17 monotherapy. In contrast, only ZP3022, exendin-4 and combination treatment with exendin-4 and gastrin-17 significantly improved glucose tolerance and increased insulin levels during an OGTT. Moreover, only ZP3022 significantly enhanced the beta cell fraction in ZDF rats, a difference of 41%, when compared to the vehicle group (0.31 ± 0.03 vs. 0.22 ± 0.02%, respectively, P < 0.05).ConclusionThese data suggest that ZP3022 may have therapeutic potential in the prevention/delay of beta cell dysfunction in type 2 diabetes.     

Molecular and biochemical properties and physiological roles of plant phospholipase D

Recent advances have thrust the study of plant phospholipase D (PLD) into the molecular era. This review will highlight some of the recent progress made in elucidating the molecular and biochemical nature of plant PLDs as well as their roles in plant physiology.     

整合冠心病风险SNPs功能及分子网络特征筛选疾病易感基因

目的:冠心病(Coronary Heart Disease,CHD)是一种由多因素(遗传因素、环境因素以及它们之间的相互作用)引起的复杂疾病。本文从遗传因素和分子互作模式识别新的冠心病易感基因。方法:结合冠心病群体遗传SNPs数据和PPI数据,通过群体遗传数据的风险评估、功能SNPs的判定和PPI网络基因的分类,以功能SNPs属性、网络拓扑属性和基因功能属性为特征,利用两步分类的方法筛选新的冠心病易感基因。结果:获得了69个新的冠心病易感基因,其中43个被文献证实与冠心病的发生发展密切相关,且识别的新的易感基因注释的KEGG通路中有很多是已知的易感基因所没有注释到的,如MAPK signaling pathway,Calcium signaling pathway,Focal adhesion和Chemokine signaling pathway等,其中Chemokine signaling pathway被证实是CHD发展的关键通路。结论:应用本文提出的整合筛选策略,能识别与冠心病相关的新的易感基因,可为冠心病的预防、诊断和治疗提供新的研究方向。     

Cell growth and cell cycle in Saccharomyces cerevisiae: basic regulatory design and protein-protein interaction network

In this review we summarize the major connections between cell growth and cell cycle in the model eukaryote Saccharomyces cerevisiae. In S. cerevisiae regulation of cell cycle progression is achieved predominantly during a narrow interval in the late G1 phase known as START (Pringle and Hartwell, 1981). At START a yeast cell integrates environmental and internal signals (such as nutrient availability, presence of pheromone, attainment of a critical size, status of the metabolic machinery) and decides whether to enter a new cell cycle or to undertake an alternative developmental program. Several signaling pathways, that act to connect the nutritional status to cellular actions, are briefly outlined. A Growth & Cycle interaction network has been manually curated. More than one fifth of the edges within the Growth & Cycle network connect Growth and Cycle proteins, indicating a strong interconnection between the processes of cell growth and cell cycle. The backbone of the Growth & Cycle network is composed of middle-degree nodes suggesting that it shares some properties with HOT networks. The development of multi-scale modeling and simulation analysis will help to elucidate relevant central features of growth and cycle as well as to identify their system-level properties. Confident collaborative efforts involving different expertises will allow to construct consensus, integrated models effectively linking the processes of cell growth and cell cycle, ultimately contributing to shed more light also on diseases in which an altered proliferation ability is observed, such as cancer.     

Structural Basis of Epitope Recognition by Heavy-Chain Camelid Antibodies

Truncated versions of heavy-chain antibodies (HCAbs) from camelids, also termed nanobodies, comprise only one-tenth the mass of conventional antibodies, yet retain similar, high binding affinities for the antigens. Here we analyze a large data set of nanobody–antigen crystal structures and investigate how nanobody–antigen recognition compares to the one by conventional antibodies. We find that nanobody paratopes are enriched in aromatic residues just like conventional antibodies, but additionally, they also bear a more hydrophobic character. Most striking differences were observed in the characteristics of the antigen's epitope. Unlike conventional antibodies, nanobodies bind to more rigid, concave, conserved and structured epitopes enriched with aromatic residues. Nanobodies establish fewer interactions with the antigens compared to conventional antibodies, and we speculate that high binding affinities are achieved due to less unfavorable conformational and more favorable solvation entropy contributions. We observed that interactions with antigen are mediated not only by three CDR loops but also by numerous residues from the nanobody framework. These residues are not distributed uniformly; rather, they are concentrated into four structurally distinct regions and mediate mostly charged interactions. Our findings suggest that in some respects nanobody–antigen interactions are more similar to the general protein–protein interactions rather than antibody–antigen interactions.     

Structural Principles Governing Disease-Causing Germline Mutations

Advancements in sequencing in the past decades enabled not only the determination of the human proteome but also the identification of a large number of genetic variations in the human population. The phenotypic effects of these mutations range from neutral for polymorphisms to severe for some somatic mutations. Disease-causing germline mutations (DCMs) represent a special and largely understudied class with relatively weak phenotypes. While for somatic mutations their effect on protein structure and regulation has been extensively studied in select cases, for germline mutations, this information is currently largely missing. In this analysis, a large amount of DCMs were analyzed and contrasted to polymorphisms from a structural point of view. Our results delineate the characteristic features of DCMs starting at the global level of partitioning proteins into globular, disordered and transmembrane classes, moving toward smaller structural units describing secondary structure elements and molecular surfaces, reaching down to the smallest structural entity, post-translational modifications. We show how these structural entities influence the emergence and possible phenotypic effects of DCMs.     

Structural property,molecular regulation,and functional diversity of glutamine synthetase in higher plants: a data-mining bioinformatics approach

Glutamine synthetase (GS; E.C.6.3.1.2) is a key enzyme in higher plants with two isozymes, cytosolic GS1 and plastidic GS2, and involves in the assimilation and recycling of NH₄⁺ ions and maintenance of complex traits such as crop nitrogen-use efficiency and yield. Our present understanding of crop nitrogen-use efficiency and its correlation with the functional role of the GS family genes is inadequate, which delays harnessing the benefit of this key enzyme in crop improvement. In this report, we performed a comprehensive investigation on the phylogenetic relationship, structural properties, complex multilevel gene regulation, and expression patterns of the GS genes to enrich present understanding about the enzyme. Our Gene Ontology and protein–protein interactions analysis revealed the functional aspects of GS isozymes in stress mitigation, aging, nucleotide biosynthesis/transport, DNA repair and response to metals. The insight gained here contributes to the future research strategies in developing climate-smart crops for global sustainability.     

Unraveling aquaporin interaction partners

Background

Insight into protein–protein interactions (PPIs) is highly desirable in order to understand the physiology of cellular events. This understanding is one of the challenges in biochemistry and molecular biology today, especially for eukaryotic membrane proteins where hurdles of production, purification and structural determination must be passed.

Scope of review

We have explored the common strategies used to find medically relevant interaction partners of aquaporins (AQPs). The most frequently used methods to detect direct contact, yeast two-hybrid interaction assay and co-precipitation, are described together with interactions specifically found for the selected targets AQP0, AQP2, AQP4 and AQP5.

Major conclusions

The vast majority of interactions involve the aquaporin C-terminus and the characteristics of the interaction partners are strikingly diverse. While the well-established methods for PPIs are robust, a novel approach like bimolecular fluorescence complementation (BiFC) is attractive for screening many conditions as well as transient interactions. The ultimate goal is structural evaluation of protein complexes in order to get mechanistic insight into how proteins communicate at a molecular level.

General significance

What we learn from the human aquaporin field in terms of method development and communication between proteins can be of major use for any integral membrane protein of eukaryotic origin. This article is part of a Special Issue entitled Aquaporins.