Sentence examples for considerable clinical implication from inspiring English sources

Therefore, identification of cells equivalent to these mesenchymal progenitors in humans has considerable clinical implication.

The considerable clinical implication in cancer derives from the fact that DP is expressed on human NK cells and PGD2 mediated activation of this receptor leads to inhibition of the cytotoxic and chemotactic effects as well as decreased accumulation of type 1 cytokine.

Besides that, sphingolipids have considerable clinical implications in numerous diseases, including gastrointestinal tumorigenesis and inflammation.

There are considerable clinical implications of an exercise-induced modulation of GABA activity.

Thus, a thorough understanding of molecular alterations in primary tumours and corresponding metastases of CRCs may have considerable clinical implications.

The identification of inflammation and endothelial dysfunction markers associated with the development of nephropathy and CVD in patients with type 1 diabetes has considerable clinical implications.

The classic prognostic parameters remain highly important and a simpler one, the biological profile, is emerging as an easily assessable descriptor with considerable clinical implications.

Confirmation of the fact that baseline HbA1c was the main risk factor for hospitalization due to acute complications may be one with considerable clinical implications.

With the substantial increase in the prevalence of obesity over the last three decades, these findings have considerable clinical implications for the treatment of metabolic dysfunction and prevention of type 2 diabetes.

29 The combination of pathology-specific neuronal loss together with the preservation of neurons containing peptides involved in feeding regulation may have considerable clinical implications as targeted therapeutic interventions are developed.

The sensitivity of newer technologies can have considerable clinical implications, underscoring the importance of gaining a better understanding of the plausibility of hypotheses such as sensitivities, over-diagnosis and initial difference in data from large scale trials such as the MLP.