New approaches for the treatment of Alzheimer’s disease

Alzheimer’s disease (AD) is the most prevalent chronic neurodegenerative disease. Current approved therapies are symptomatic treatments having some effect on cognitive function. Therapies that target β-amyloid (Aβ) have been the focus of efforts to develop a disease modification treatment for AD but these approaches have failed to show any clinical benefit so far. Beyond the ‘Aβ hypothesis’, there are a number of newer approaches to treat AD with neuroinflammation emerging as a very active area of research based on risk gene analysis. This short review will summarize approved drug therapies, recent clinical trials and new approaches for the treatment of AD.     

First Issue of 2013: What’s New for JIPB

It is no exaggeration to say that 2012 was an eventful year.China has a new president, Xi Jinping, and the US re-elected Barack Obama. Gmail was ranked as the world’s number one email service, and astronomers measured light from the universe’s first stars. JIPB has also undergone     

Spatial Patterns of Prisoner’s Dilemma Game in Metapopulations

Because to defect is the evolutionary stable strategy in the prisoner’s dilemma game (PDG), understanding the mechanism generating and maintaining cooperation in PDG, i.e. the paradox of cooperation, has intrinsic significance for understanding social altruism behaviors. Spatial structure serves as the key to this dilemma. Here, we build the model of spatial PDG under a metapopulation framework: the sub-populations of cooperators and defectors obey the rules in spatial PDG as well as the colonization–extinction process of metapopulations. Using the mean-field approximation and the pair approximation, we obtain the differential equations for the dynamics of occupancy and spatial correlation. Cellular automaton is also built to simulate the spatiotemporal dynamics of the spatial PDG in metapopulations. Join-count statistics are used to measure the spatial correlation as well as the spatial association of the metapopulation. Simulation results show that the distribution is self-organized and that it converges to a static boundary due to the boycotting of cooperators to defectors. Metapopulations can survive even when the colonization rate is lower than the extinction rate due to the compensation of cooperation rewards for extinction debt. With a change of parameters in the model, a metapopulation can consist of pure cooperators, pure defectors, or cooperator–defector coexistence. The necessary condition of cooperation evolution is the local colonization of a metapopulation. The spatial correlation between the cooperators tends to be weaker with the increase in the temptation to defect and the habitat connectivity; yet the spatial correlation between defectors becomes stronger. The relationship between spatial structure and the colonization rate is complicated, especially for cooperators. The metapopulation may undergo a temporary period of prosperity just before the extinction, even while the colonization rate is declining. An erratum to this article can be found at     

New Directions for Understanding the Spatial Resilience of Social–Ecological Systems

The concept of spatial resilience has brought a new focus on the influence of multi-scale processes on the dynamics of ecosystems. Initial ideas about spatial resilience focused on coral reefs and emphasized escalating anthropogenic disturbances across the broader seascape. This perspective resonated with a new awareness of global drivers of change, such as growth in international trade and shifts in climate, and the need to respond by scaling up governance and management. We review recent trends and emerging ideas in spatial resilience, using coral reefs and dependent communities as exemplars of multi-scale social–ecological systems. Despite recent advances, management and governance of ecosystems remain spatially fragmented and constrained to small scales. Temporally, many interventions still miss or ignore warning signals and struggle to cope with history, politics, long-term cumulative pressures, feedbacks, and sudden surprises. Significant recent progress has been made in understanding the relevance of spatial and temporal scale, heterogeneity, networks, the importance of place, and multi-scale governance. Emerging themes include better integration of ecology and conservation with social and economic science, and incorporating temporal dynamics in spatial analyses. A better understanding of the multi-scale spatial and temporal processes that drive the resilience of linked social-ecosystems will help address the widespread mismatch between the scales of ongoing ecological change and effective long-term governance of land- and seascapes.     

The biogeography of New Zealand’s terrestrial vertebrates

Abstract

New Zealand’s peculiar biota has fueled more than a century of biogeographic interest. During this time a number of workers have offered classifications synthesising biotic and geographical relationships. More recently, Fleming (1963, 1979) has recognised that these systems have much in common and tried to reconcile them into a more general scheme. He distinguished seven elements emphasising relationships with Australia and the southern ocean with less important “Holarctic” and tropical “Malayo-Pacific” components and a “New Zealand Element” in the Pacific. The remainder are “Endemic” with no close relatives to indicate their “place of origin” and “Cosmopolitan” for those “embarrassing organisms” too widely distributed to be included elsewhere. Only the ratites, tuatara, and frog were considered old enough to have used terrestrial links, the remainder having crossed over water from the terminals of dispersal pathways recognised in the classification. The colonisation of New Zealand by Australian birds in historic times were regarded as examples of this mechanism in action (Falla 1953; Fleming 1962). This view of biogeographic relationship necessarily plays down the wider perspectives used by such workers as Hutton (1872, 1904) and Croizat (1958).     

What’s New?

What's New

What’s New?     

What’s New?

What's New?

What’s New?     

What’s New?

What's New?

What’s New?     

What’s New?

What's New

What’s New?