A predictive algorithm to identify genes that discriminate individuals with fibromyalgia syndrome diagnosis from healthy controls, 2018, Saliqan et al

Open access at https://www.dovepress.com/a-predict...ndividuals-peer-reviewed-fulltext-article-JPR

 

@Andy

cc : @ScottTriGuy @JaimeS


Making a correction / addition from other part of the text :

and to be fair :

 

This is true and it’s been discussed in the text.

I think that we must see the bigger picture since we have from previous research work from Hanson, Naviaux , Flugge / Mella :

-Impaired Bile Acids metabolism
-Impaired phospholipid metabolism
-Metabolites suggesting hepatotoxicity
-Impaired Vitamin E metabolism which may be attributed to impaired hepatic function

All these may suggest that we must pay closer attention to the Liver

 

This is vaguely interesting - the question is are these directly involved in fatigue signalling mechanisms or are they merely a nonspecific side effect of different activity patterns of people who happen to be suffering from severe fatigue.

 

Good question.

For the record, the techniques that i use agree with other mentions in the paper for Protein Kinase B (PKB) and Nf-kΒ pathway.


In any case, i am really happy that these techniques are being put into use more and more. Used correctly, they may prove to be very useful in generating interesting hypotheses for ME/CFS.

 

I agree, but virtually impossible to get anyone to consider this. I' ve given up with my GP and no private providers do any other investigative processes anywhere near us. I am hoping that this gets further study.

 

Just wanted also to add, as shown on the figure 4C of the paper below, although not a strong signal, Tyrosine is being mentioned :












I would like to confirm that based on the techniques i use, Tyrosine metabolism is an important element of ME/CFS (hypothesis). This was also discussed in the following post :



https://www.s4me.info/threads/machine-learning-assisted-research-on-me-cfs.5015/page-2#post-109782