LEADER 04259namaa2200937uu 4500
001 doab53236
003 oapen
005 20210211
006 m o d
007 cr|mn|---annan
008 210211s2020 xx |||||o ||| 0|eng d
020 |a 9783039280407 
020 |a 9783039280414 
020 |a books978-3-03928-041-4 
024 7 |a 10.3390/books978-3-03928-041-4  |2 doi 
040 |a oapen  |c oapen 
041 0 |a eng 
042 |a dc 
072 7 |a PS  |2 bicssc 
720 1 |a Green, Brian  |4 aut 
245 0 0 |a Metabolomics in Neurodegenerative Disease 
260 |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2020 
300 |a 1 online resource (184 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
506 0 |a Open Access  |f Unrestricted online access  |2 star 
520 |a The range of human neurodegenerative diseases continues to pose significant unmet medical needs for societies around the world. The progressive and terminal nature of these conditions places a considerable personal burden on the individual affected but also on public health systems and health services. Tens of millions of people are indiscriminately affected by various dementias, which are rising at an alarming rate. There are no cures for many conditions, and it is clear that treatments applied as early as possible could greatly improve outcomes for patients. Therefore, new disease classification and diagnostic tools should be a key priority. Metabolomics represents a relatively new field of analytical science, which can be extremely useful in the early diagnosis of disease. The relatively unique feature of metabolites is that they sit at the intersection between the genetic background of an organism and its environment. Because many neurodegenerative diseases are not genetically inherited (instead having a range of known genetic risk factors and also a large number of unknown environmental triggers) the field of metabolomics offers great promise for the discovery of new, biologically, and clinically relevant biomarkers for neurodegenerative disorders. It is already bringing forward new knowledge in terms of the mechanisms of neurodegenerative disease. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-nc-nd/4.0/  |2 cc  |u https://creativecommons.org/licenses/by-nc-nd/4.0/ 
546 |a English 
650 7 |a Biology, life sciences  |2 bicssc 
653 |a ?-synuclein aggregates 
653 |a 13C-labeled succinate 
653 |a 1H NMR 
653 |a 6-OHDA 
653 |a age-related macular degeneration 
653 |a Alzheimer's disease 
653 |a bile acids 
653 |a biomarkers 
653 |a C. elegans 
653 |a cerebral ischemia 
653 |a cerebral palsy 
653 |a dementia with Lewy bodies 
653 |a direct mass spectrometry 
653 |a drusen 
653 |a endothelin-1 
653 |a energy metabolism 
653 |a excitotoxicity 
653 |a fatty acid 
653 |a fatty acid metabolism 
653 |a GC-MS 
653 |a glutamic acid 
653 |a imaging mass spectrometry 
653 |a LC-MS 
653 |a lipidomics 
653 |a malonate 
653 |a mass spectrometry 
653 |a metabolic pathways 
653 |a metabolism 
653 |a metabolomics 
653 |a micro-dialysis 
653 |a midbrain 
653 |a mitochondrial dysfunction 
653 |a myo-inositol 
653 |a n/a 
653 |a natural product 
653 |a neurodegeneration 
653 |a Parkinson's disease 
653 |a Parkinson's disease dementia 
653 |a pathogenesis 
653 |a plasma 
653 |a prodromal Parkinson's disease 
653 |a reperfusion 
653 |a retinal pigment epithelium 
653 |a Streptomyces venezuelae 
653 |a subacute mild traumatic brain injury 
653 |a targeted mass spectrometry 
653 |a tricarboxylic acid cycle 
793 0 |a DOAB Library. 
856 4 0 |u https://directory.doabooks.org/handle/20.500.12854/53236  |7 0  |z Open Access: DOAB: description of the publication 
856 4 0 |u https://mdpi.com/books/pdfview/book/2226  |7 0  |z Open Access: DOAB, download the publication