Continuous metabolic monitoring based on multi-analyte biomarkers to predict exhaustion.
Continuous metabolic monitoring based on multi-analyte biomarkers to predict exhaustion.
复制标题
DOI：
10.1038/srep10603
复制
发表时间：
2015-06-01
影响因子：
4.6
通讯作者：
Burgess DJ
中科院分区：
文献类型：
--
作者：
Kastellorizios M;Burgess DJ
This work introduces the concept of multi-analyte biomarkers for continuous metabolic monitoring. The importance of using more than one marker lies in the ability to obtain a holistic understanding of the metabolism. This is showcased for the detection and prediction of exhaustion during intense physical exercise. The findings presented here indicate that when glucose and lactate changes over time are combined into multi-analyte biomarkers, their monitoring trends are more sensitive in the subcutaneous tissue, an implantation-friendly peripheral tissue, compared to the blood. This unexpected observation was confirmed in normal as well as type 1 diabetic rats. This study was designed to be of direct value to continuous monitoring biosensor research, where single analytes are typically monitored. These findings can be implemented in new multi-analyte continuous monitoring technologies for more accurate insulin dosing, as well as for exhaustion prediction studies based on objective data rather than the subject’s perception.
登录
查看更多内容
影响因子：
--
作者：
Ishii H;Nishida Y
通讯作者：
Nishida Y
影响因子：
12.6
作者：
Vaddiraju S;Burgess DJ;Jain FC;Papadimitrakopoulos F
通讯作者：
Papadimitrakopoulos F
影响因子：
5.1
作者：
Mader, Julia K.;Feichtner, Franz;Ellmerer, Martin
通讯作者：
Ellmerer, Martin
DOI：
10.1186/1550-2783-7-6
发表时间：
2010-01-29
影响因子：
5.1
作者：
Roschel H;Gualano B;Marquezi M;Costa A;Lancha AH Jr
通讯作者：
Lancha AH Jr
DOI：
10.1038/nrendo.2010.98
发表时间：
2010-08-01
期刊：
Nature reviews. Endocrinology
影响因子：
--
作者：
Greenhill, Claire
通讯作者：
Greenhill, Claire