scholarly journals Evaluation of cerebrospinal fluid proteins as potential biomarkers for early stage Parkinson’s disease diagnosis

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0206536 ◽  
Author(s):  
Marcia Cristina T. dos Santos ◽  
Dieter Scheller ◽  
Claudia Schulte ◽  
Irene R. Mesa ◽  
Peter Colman ◽  
...  
Metabolites ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 14
Author(s):  
Petr G. Lokhov ◽  
Dmitry L. Maslov ◽  
Steven Lichtenberg ◽  
Oxana P. Trifonova ◽  
Elena E. Balashova

A laboratory-developed test (LDT) is a type of in vitro diagnostic test that is developed and used within a single laboratory. The holistic metabolomic LDT integrating the currently available data on human metabolic pathways, changes in the concentrations of low-molecular-weight compounds in the human blood during diseases and other conditions, and their prevalent location in the body was developed. That is, the LDT uses all of the accumulated metabolic data relevant for disease diagnosis and high-resolution mass spectrometry with data processing by in-house software. In this study, the LDT was applied to diagnose early-stage Parkinson’s disease (PD), which currently lacks available laboratory tests. The use of the LDT for blood plasma samples confirmed its ability for such diagnostics with 73% accuracy. The diagnosis was based on relevant data, such as the detection of overrepresented metabolite sets associated with PD and other neurodegenerative diseases. Additionally, the ability of the LDT to detect normal composition of low-molecular-weight compounds in blood was demonstrated, thus providing a definition of healthy at the molecular level. This LDT approach as a screening tool can be used for the further widespread testing for other diseases, since ‘omics’ tests, to which the metabolomic LDT belongs, cover a variety of them.


Oncotarget ◽  
2018 ◽  
Vol 9 (25) ◽  
pp. 17455-17465 ◽  
Author(s):  
Marcia Cristina T. dos Santos ◽  
Miguel Arturo Barreto-Sanz ◽  
Bruna Renata S. Correia ◽  
Rosie Bell ◽  
Catherine Widnall ◽  
...  

2017 ◽  
Vol 8 (9) ◽  
pp. 696-700 ◽  
Author(s):  
Hongli Zhao ◽  
Jue Zhao ◽  
Jiapeng Hou ◽  
Siqing Wang ◽  
Yu Ding ◽  
...  

2013 ◽  
Vol 120 (11) ◽  
pp. 1559-1563 ◽  
Author(s):  
Michaela Kaiserová ◽  
Hana Přikrylová Vranová ◽  
David Stejskal ◽  
Kateřina Menšíková ◽  
Petr Kaňovský

2016 ◽  
Vol 139 ◽  
pp. 290-317 ◽  
Author(s):  
Brit Mollenhauer ◽  
Lucilla Parnetti ◽  
Irena Rektorova ◽  
Milica G. Kramberger ◽  
Maria Pikkarainen ◽  
...  

2015 ◽  
Vol 78 (6) ◽  
pp. 1000-1004 ◽  
Author(s):  
Angela Pyle ◽  
Rebecca Brennan ◽  
Marzena Kurzawa-Akanbi ◽  
Alison Yarnall ◽  
Anais Thouin ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document