Diagnosis based in serum lipids. Focus on lipid metabolism?
Posted: Sun Oct 14, 2018 12:22 pm
Excerpts:
Based on increasing evidence suggesting that MS pathology involves alterations in bioactive lipid metabolism, the present analysis was aimed at generating a complex serum lipid-biomarker. [...] a cluster structure was found [...] comprising serum concentrations of d = 43 different lipid-markers of various classes.
With a diagnostic accuracy of 95% or better, the present serum lipidomics-based diagnostic biomarker compares to, or outperforms the previously best alternative approaches. For example, based on oligoclonal bands analyzed in paired CSF and serum specimens, MS could be diagnosed at 84.9% sensitivity and 78.9% specificity91.
Based on gene expression signatures in peripheral blood mononuclear cells, a combination of expression levels of five genes segregated a multiple sclerosis cohort from the respective control cohort with a sensitivity of 91% and specificity of 98%92. A miRNA-based marker comprising miR-181c and miR-633 in CSF could differentiate relapsing-remitting from secondary progressive MS courses with 82% specificity and 69% sensitivity93. The latter study points towards subtype differences, which were not addressed in the present cohort.
Source: https://www.nature.com/articles/s41598- ... rigin=ppub
Based on increasing evidence suggesting that MS pathology involves alterations in bioactive lipid metabolism, the present analysis was aimed at generating a complex serum lipid-biomarker. [...] a cluster structure was found [...] comprising serum concentrations of d = 43 different lipid-markers of various classes.
With a diagnostic accuracy of 95% or better, the present serum lipidomics-based diagnostic biomarker compares to, or outperforms the previously best alternative approaches. For example, based on oligoclonal bands analyzed in paired CSF and serum specimens, MS could be diagnosed at 84.9% sensitivity and 78.9% specificity91.
Based on gene expression signatures in peripheral blood mononuclear cells, a combination of expression levels of five genes segregated a multiple sclerosis cohort from the respective control cohort with a sensitivity of 91% and specificity of 98%92. A miRNA-based marker comprising miR-181c and miR-633 in CSF could differentiate relapsing-remitting from secondary progressive MS courses with 82% specificity and 69% sensitivity93. The latter study points towards subtype differences, which were not addressed in the present cohort.
Source: https://www.nature.com/articles/s41598- ... rigin=ppub