I sure will @Trish
Just to let you know and also others, there is this thing called negative bias. As I am rushing at the moment, I will post ASAP my reply.
Merry Christmas !
One more data point suggesting N-Linked glycosylation defects. From the study, we read noting GMPPB below :
and
And looking closer at GMPPB we see N-linked oligosaccharides :
and asparagine + ER Stress, coming up . Again :
Yes I also have noticed this. Tinnitus was for me a key predictor for the induction of my symptoms. When I was sick I had no tinnitus. The moment during my infection that I would get tinnitus , I knew this was a sign that the viral infection would go away. Every single time.
I believe that this...
Related to Vitamin A toxicity, there may be a connection which I have also seen during my research. We will have to investigate whether ME patients have been taking the drug Accutane.
https://meassociation.org.uk/2013/01/parliamentary-question-safety-assessments-of-roaccutane-21-january-2013/...
I wanted to start a thread that is looking to potential information after I came across a PDF which I will link below. I do not know if -looking at the associations below- it is warranted that patients are screened for such conditions. Recall that @Chris Ponting study identified "Liver disease"...
No this would not happen.
Again, this would not happen
All of your concerns are valid and there are actually many other issues, for example Liver X Receptor may be found in the literature as LXR, NR1H3, NR1H2 so these discrepancies introduce further problems. You will have to see however...
From what I saw, the following genes from Paolo's list are new :
OTX1
WDPCP
UGP2
VPS54
PREX1
There are several reasons why these may be important. More specifically (not meant to be a complete list of related functions):
OTX1 : Neuronal involvement and could be important...
I see so my understanding is that you reference Garbage-In, Garbage-Out (GIGO). If the input data is garbage then the output is Garbage.
The thing is that in my analysis I did not look at the results of the studies. The search space of the analysis was built by identifying which concepts...
OK so apparently the timing was great. He corrected the metanalysis and he says that the glutamatergic finding is confirmed with a smaller p value ! He updated it just yesterday!
Here is the correct repository :
https://github.com/paolomaccallini-hub/MetaME
I spoke with Paolo and he said that he should re run the analysis shown on his blog. I will PM him again.
If you want any help on coding I may be of help as I have the time now !
So I used the DAVID tool to enter the core genes identified by the study and I am providing the results of a Pathway analysis :
First KEGG Pathway Analysis. of particular interest the Glutamatergic synapse entry, GABAergic synapse cc @ME/CFS Science Blog
Next Reactome :
Of interest : NR1H3...
Link for the full text :
https://www.researchgate.net/publication/390473147_Omics-Based_Computational_Approaches_for_Biomarker_Identification_Prediction_and_Treatment_of_Long_COVID#fullTextFileContent
First of all, Thank you for the reply. Much appreciated.
What you say is correct. All of the work that was made was an attempt to connect medical concepts that have been appearing to the text of the abstracts. This was the first part of the work , the Network Analysis (which was later used by...
Just to give an update after the last study by PrecisionLife (entries of last four rows) here is how it looks like. @ME/CFS Science Blog would you like to comment or you believe that this work is not even worth commenting (as above) ? Tagging also @Hutan @forestglip @Trish @Andy
I look...
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