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The status of and future research into Myalgic Encephalomyelitis and Chronic Fatigue Syndrome

Discussion in 'Latest ME/CFS Research' started by A.B., Apr 26, 2014.

  1. A.B.

    A.B. Senior Member

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    The status of and future research into Myalgic Encephalomyelitis and Chronic Fatigue Syndrome: the need of accurate diagnosis, objective assessment, and acknowledging biological and clinical subgroups

    Abstract

    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974331/
    Last edited: Apr 26, 2014
    NK17, peggy-sue, elbosque and 5 others like this.
  2. Cheshire

    Cheshire Senior Member

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    France
    Great article. Sums up the whole ME/CFS debate and underlines the physiological findings.
    elbosque likes this.
  3. SOC

    SOC Moderator and Senior Member

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    Who is Frank Twisk?
  4. Valentijn

    Valentijn Activity Level: 3

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    I think he's an ME patient in the Netherlands, who writes some very nice letters to the editor, etc, in response to bad CBT/GET research, and such. Basically a Dutch Tom Kindlon? :D
    NK17 and SOC like this.
  5. lansbergen

    lansbergen Senior Member

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    Valentijn and SOC like this.
  6. Tom Kindlon

    Tom Kindlon Senior Member

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    Thanks. Although I should say Frank Twisk has written or co-written a lot more full papers than me (I've only published one) and has letters published in Dutch, English and even Norwegian (while all mine are in English).
  7. 4ME

    4ME

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    This Research is from 2006, I am a loss to understand why the ME Community don't seem to be aware of the findings, if or how it has developed, anyone know more http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1860619/#__ffn_sectitle summary - We have carried out a pilot study of this approach at Imperial College London (London, UK), which has identified significant protein biomarkers in the blood of patients with CFS (PC, AH, PRL, JRK). In this study, serum samples from 30 patients with CFS and 30 normal blood donors (age‐matched and sex‐matched) were examined. Each serum was tested using CM10 and Q10 chips with a matrix consisting of a saturated solution of sinapic acid in 50% acetonitrile and 0.5% trifluoroacetic acid. Pooled sera from each group (10 pools each of 3 sera for each group) were then anionically fractionated using resin by a standard protocol and analysed using normal‐phase‐20 chips (NP20). This resulted in a collection of six fractions containing eluants of flow‐through with pH 9, pH 7, pH 5, pH 4, pH 3 and acid–organic solvent. These fractions were analysed using the NP20 arrays, and the spectra were analysed using Ciphergen Express Data Manager software (http://ciphergen.com). Biomarkers were found that differentiated the groups, and some of these were found to be reproducible (fig 1
  8. elbosque

    elbosque

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    I am interested in finding these: "Larger‐scale studies are now being carried out to confirm and further detail these promising results."

    Anyone know where they are to be found?

    John
  9. 4ME

    4ME

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    They do indeed seem promising, I would also be interested to know if these results have been followed up. This was published in 2006, since then the Psychological approach to ME/CFS has gathered momentum in UK. Awareness of this Research may have readdressed the balance and saved many PWME having to undergo inappropriate treatment.
    NK17 likes this.
  10. 4ME

    4ME

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    Many thanks to Annette for the following information Kerr lost his lab in St George's after this paper and went on to study gene expression
    http://www.biomedcentral.com/1755-8794/2/38
    http://www.cfids-cab.org/MESA/Kerr-5.pdf
    Differential expression of key genes identified in this study offer an insight into the possible mechanism of chronic fatigue following infection. The representative biomarkers identified in this research appear promising as potential biomarkers for diagnosis and treatment. This in 2009, so why are PWME in the UK treated with Antidepressants, CBT/GET?
    NK17 and peggy-sue like this.
  11. 4ME

    4ME

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    This research in 2011 http://www.plosone.org/article/info:doi/10.1371/journal.pone.0016872
    Here we have assessed the ability of a proposed 44 gene classifier [8] to discriminate between CFS patients and healthy control individuals. This classifier was able to discriminate correctly between CFS and healthy control samples in 95% of the training samples. However, when assessed on a new, blinded 128 sample test set only 58% of samples were predicted correctly. Importantly, a high number of false-positive predictions were made, with 31% of CFS-positive predictions being from healthy volunteers. In addition, a high number of false negative predictions were made, 57% of the CFS samples being predicted as healthy controls. Therefore, with the methods used here we cannot predict CFS disease based on the analysis of expression of 44 classifier genes in the peripheral blood.
    Valentijn likes this.
  12. 4ME

    4ME

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    elbosque likes this.
  13. 4ME

    4ME

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