Did you see at the end of one graph what is more commonly known as African Sleeping Sickness? I wonder if this is important.With a bit of googling, supplementary materials :
Did you see at the end of one graph what is more commonly known as African Sleeping Sickness? I wonder if this is important.With a bit of googling, supplementary materials :
That holds vs healthy controls, see fig 1B for the two ME/CFS samples (ME/CFS 1=39, ME/CFS 2=30, healthy controls HC=36), p<0.001 for both. Third ME/CFS sample of 30 vs 20 HC also p<0.001 in supplementary material, which I can't find.[We] revealed that circulating EV levels are significantly increased in ME/CFS Patients.
Somewhat overstating things. Elsewhere they talk about how they did 2 independent analyses, but since one is 3 ME/CFS vs 3 HC and the other 4 each of ME/CFS, depression and idiopathic chronic fatigue this is far from convincing. Even so, it helps that the top proteins that differed in amount for ME/CFS vs others were pretty similar in both analyses. It’ll be very interesting to see if this replicates.These EVs contain a specific protein cargo, particularly actin network proteins and 14-3-3 family proteins, which represent novel-specific ME/CFS biomarkers and can distinguish this condition from ICF and clinical depression, which are two highly challenging differential diagnoses in the clinical arena.
That is suitably reasonable.Future studies including larger cohorts that would allow for matching the various conditions by key variables such as age and gender as well as external validation studies are warranted.
The novel findings of this study may open new windows to reveal ME/CFS pathogenic mechanisms and may aid in the development of better ME/CFS biomarkers and effective therapies.
Factually correct, but more useful is to look at the data in Fig 1B shown above - there is a lot of overlap between patients and controls (though the average difference between the 2 groups is unusually large).[Area under the curve, AUC] for circulating EVs was 0.802 allowing correct diagnosis in 90-94% of ME/CFS.
The skeletal claim is a bit of a push: the analysis of the proteomic results talked about proteins involved in regulation of the actin cytoskeleton, and the basis for skeletal regulation is more tenuous.Proteins in actin skeletal regulation and EB virus infection were identified in ME/CFS patients.
Actin network proteins also play important roles in the skeletal muscle as follows: 1) talin 1 regulates
the stability of myotendinous junctions [muscle-tendon junctions, not part of the key actin-myosin interaction that leads to muscle contraction] through the vinculin-talin-integrin system in skeletal
muscle (Conti et al., 2008); and 2) human serum gelsolin [note, not EV gelsolin, which is measured here] is mainly derived from skeletal muscle (Kwiatkowski et al., 1988).
In other words, low specificity.Also, a biomarker is only really useful for diagnosis if it distinguishes from similar-looking diseases, and there was no significant difference vs depression or chronic fatigue.
Did you see at the end of one graph what is more commonly known as African Sleeping Sickness? I wonder if this is important.
I am sure there will be fascinating things here once we start probing. The reason I am interested in African Sleeping Sickness is the finding that Ron Davis and team made that our micro RNA is a match for it, and the symptoms are often ME symptoms ... they sleep, but mostly and badly during the day, and even worse and even less at night. This more or less matches the circadian reversal we see in many ME patients. Yet we do not have a known trypanosome infection.Yes and perhaps there are more.
An AUC of 0.8 isn't that great given that a coin toss achieves an AUC of 0.5. Presumably, the 90-94% correct diagnosis is based on choosing a good EV threshold for this study's data, which might not work out so well in an independent cohort. And, if I've understood this right, an EV threshold identifying 90-94% of patients will then wrongly identify quite a high proportion of of healthy controls as having ME/CFS.
That said I tend to think that the obsession with a biomarker is perhaps wrong anyway. At this stage interesting differences (which can overlap as distributions such as in the plots you include) seem interesting.
Most people, regardless of cohort, had a CRP value of less that 0.05 mg/dL (0.5 mg/L), with just a small number of outliers (the outliers being both healthy controls and PwME).
This paper specifies skeletal muscle. Maybe the Australians were on to something with the calcium channelopathy theory. But the tie to EV escapes me. Are EVs remnants or blebs from skeletal muscle cells?
these proteins the scaffolding of cells?
When I read research like this it always strikes me that the 'something in the blood' mystery is going to prove hard to unpick until we find ways to study the process of PEM.
If the fabled Something is found in everybody's blood because it's perfectly normal, and the real problem is that it's triggering an abnormal reaction, then we could search for it till Kingdom Come and still get nowhere.
(Might possibly be evident that I'm feeling a bit grumpy today.)
I absolutely agree. To think that the reason for doing studies like this is to find an instant biomarker is naive and blinkered. Rheumatoid factor was never a very useful biomarker for RA but it led us to understand how to treat the disease.
Reading the paper as a whole I am not very impressed. The introduction, discussion and data presentation do not have the ring of people with a deep understanding of the problem. There is no mention of blinding of samples and the way repeated cohorts have been used does not look to have been done in a way to ensure bias is avoided.
My thought is that extracellular vesicles of this sort are basically cell debris - bits of those cells that have fallen apart. The most likely cells to fall apart and give rise to vesicles in venous blood are neutrophils. I think there may be a sample handling problem that might produce systematic bias. It is also quite possible that the different patterns of activity that occur in PWME have an effect on the number of senescent neutrophils in plasma.
The number of vesicles certainly does not give a diagnostic test since there is major overlap. Most ME patients fell within a normal range constructed from controls. The data on specific proteins looks limited and I suspect was not repeated on a second test cohort.
Some things have thresholds, below a certain amount is one response, sometimes a non-response, over that is another due to changes in molecular switches. This might have that kind of effect. However in the case of some chemical sensitivities, it looks like under a certain amount has no abnormal response, but over that has an increasing response according to dosage. This happens because compensating mechanisms, such as glutathione supply (and I am not just talking about the liver) are overwhelmed with respect to substances like salicylates.Isn't it possible that it's the way our cells react to " something in the blood" that matters, not the absolute level of the substance/ substances?
Pretty reasonable. The problem here is likely to be non-linear. There is a reaction to something that is out of proportion to initial conditions and if it happens entirely within cells we just don't have the tools to make it out yet.Isn't it possible that it's the way our cells react to " something in the blood" that matters, not the absolute level of the substance/ substances?
Technological progress seems to be about 90% of what makes medicine progress at all, if not more.
I think the calcium channelopathy theory was badly dented by Wenzhong Xiao at the OMF Stanford Conference a few years ago - there was no supporting evidence from the genetic work. I.e. people with ME were no more likely to have genetic problems, linked to calcium channelopathy, than healthy controls.
I think I've read that pretty much all cells produce exosomes (EDIT RED BLOOD CELLS DO PRODUCE EXOSOMES - https://www.hindawi.com/journals/bmri/2019/2045915/ ETC.). The role of exosomes in disease(s) is really only starting to be researched; Hanson is looking at micro-RNAs. Interesting that these researchers are finding proteins with specific functions - are these proteins the scaffolding of cells?
I think the calcium channelopathy theory was badly dented by Wenzhong Xiao at the OMF Stanford Conference a few years ago - there was no supporting evidence from the genetic work. I.e. people with ME were no more likely to have genetic problems, linked to calcium channelopathy, than healthy controls.