Wow you said a new study that shows a simple test that can
detect MS,
Hailing from “Gods own Country”, I thought I would Investigate
The local Huddersfield rag (Newspaper) says
“They have worked
out how it can be detected using a simple blood test - up to now the only way
to diagnose the disease has been through an invasive and often painful process
of collecting fluid from the brain and spine”.
So already you know the newspaper is already talking rubbish
and giving you visions of needles in the head.
A lumbar puncture is not the
typical diagnostic test these days and it is certainly not diagnostic as many
conditions have oligoclonal bands. Importantly let’s not forget the good old
magnetic resonance imaging machine for spotting those lesions. This is far more
diagnostic.
Michael I. Page MI, McHugh P, Powles NT. Sphingosine and dihydrosphingosine as biomarkers for multiple sclerosis identified by metabolomic profiling using coupled UPLC-MS. Analytical Methods 2017.
The project aim was to identify differences in the metabolomic profiles in the serum of patients with multiple sclerosis (MS), those with neuropathic pain (NP) and those with both MS and NP compared with controls and to identify potential biomarkers of each disease state. Metabolomic profiling was performed using ultra-high-performance liquid chromatography coupled to mass spectrometry and the data analysis involved parametric methods, principal component analysis, and discriminating filter analysis to determine the differences between disease and control serum samples. Sphingosine and dihydrosphingosine were identified as significant biomarkers.
The project aim was to identify differences in the metabolomic profiles in the serum of patients with multiple sclerosis (MS), those with neuropathic pain (NP) and those with both MS and NP compared with controls and to identify potential biomarkers of each disease state. Metabolomic profiling was performed using ultra-high-performance liquid chromatography coupled to mass spectrometry and the data analysis involved parametric methods, principal component analysis, and discriminating filter analysis to determine the differences between disease and control serum samples. Sphingosine and dihydrosphingosine were identified as significant biomarkers.