Sentence examples for multiple biological systems from inspiring English sources

Arsenic affects multiple biological systems, sometimes years or decades after exposure reductions.

A strong predictor for the development of type 2 diabetes mellitus (DM2) is insulin resistance [ 13, 14], which is caused by complex disturbances in multiple biological systems.

Given further and more widespread use of the triple-target approach, it may prove a valuable tool that can be standardised for multiple biological systems and dye-labels.

Aging-related mortality should thus be understood as reflecting the simultaneous senescence of multiple biological systems, a process that increases risk of death from many varied degenerative conditions (Bains 2000; Gavrilov and Gavrilova 2001; Laird and Sherratt 2009).

This is an indication that many researchers are studying and observing hormesis, using multiple biological systems, following a broad range of hypotheses, with wide and varied funding sources, and that their research has passed numerous independent peer reviews.

This approach to attaining and maintaining weight reduction is critically important both in alleviating the intensive defense of body weight by multiple biological systems and in reducing risk of β-cell decompensation and, over the long term, diabetes complications.

The application of "protective", low volume mechanical ventilation often leads to an increase of arterial CO2 levels which - if not corrected by the physician - is called permissive hypercapnia and has been shown to affect multiple biological system targets.

While candidate gene findings require further replication and confirmation, the evidence suggests that these genes lie in multiple, interacting biological systems.

Instead, it is important to study multiple scales of biological systems and identify potential signal transduction chains between molecules, cells, organs, and complex traits such as clinical syndromes.

The potential activation of multiple biological pathways and system-wide responses in vivo creates a substantial challenge to the understanding of stochastic mixtures containing a distribution of surface hydrophobicity.

Furthermore, our results open the question about whether the effects of temperature mean and variance on multiple traits in other biological systems may be decoupled as observed here in ways that have not been previously anticipated.