Meta-analysis of Natural Killer (NK) cell cytotoxicity in Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME/CFS), 2024, Baraniuk et al

Nightsong

Senior Member (Voting Rights)
Reduced Natural Killer (NK) cell cytotoxicity is the most consistent immune finding in Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME/CFS). Meta-analysis of the published literature determined the effect size of the decrement in ME/CFS. Databases were screened for papers comparing NK cell cytotoxicity in ME/CFS and healthy controls. Twenty-eight papers and 55 effector : target cell ratio (E:T) data points were collected. Cytotoxicity in ME/CFS was significantly reduced to about half of healthy control levels, with an overall Hedges' g of 0.96 [0.75 to 1.18]. Heterogeneity was high but was explained by the range of E:T ratios, different methods and potential outliers. The outcomes confirm reproducible NK cell dysfunction in ME/CFS and will guide studies using the NK cell model system for pathomechanistic investigations.

Front Immunol (September 2024) | Link
 
Just to clarify, is this a replication of the Australian studies from Griffith Uni we were discussing/criticising a few weeks back for having no replication attempts? Becuase if so thats big.
 
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Pleased to hear this stands up because it's one of those things where I wasn't sure if it was folklore. I've heard it repeated a lot but also seen it questioned in these pages.
A solid finding is a relief.
I doubt it is a solid finding as there has been several studies that could not find a difference with controls. It's mostly this Australian group (and earlier the one by Nancy Klimas in Florida) that has been pushing this narrative.

Eaton-Fitch and Marshall-Gradisnik already did a review on this in 2019, discussed here:
A systematic review of natural killer cells profile and cytotoxic function in ME/CFS. Eaton-Fitch et al. 2019 | Science for ME (s4me.info)

The MCAM study of 174 patients found no significant difference:
Natural killer cytotoxicity in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): a multi-site clinical assessment of ME/CFS (MCAM) sub-study | Journal of Translational Medicine | Full Text (biomedcentral.com)
 
Heterogeneity was high but was explained by the range of E:T ratios, different methods and potential outliers.

I think perhaps this should be:Heterogeneity was high but might be explained by the range of E:T ratios, different methods and potential outliers. The whole problem with NK assays is that nobody actually knows what results with any of the methods means much, other than complete failure of function in rare deficiency syndromes.

Otherwise the abstract doesn't tell us anything new.

I may be hallucinating but my memory is that at an IiME meeting James Baraniuk made a comment about Nancy Klimas's NK work that 'she can't even reproduce her own data'.

I think if we want confirmation of the solidity of the NK claim it needs to come from somewhere other than the Klimas/Gradisnik stable.
 
I think perhaps this should be:Heterogeneity was high but might be explained by the range of E:T ratios, different methods and potential outliers. The whole problem with NK assays is that nobody actually knows what results with any of the methods means much, other than complete failure of function in rare deficiency syndromes.

I once consulted with a MD at a local university teaching hospital here in the USA who spent his whole career (he was close to retirement) working in the innate immune system realm because I had a couple anomalous immune system blood test results that were consistently appearing, of which one of them was a Natural Killer (NK) cell cytotoxicity assay. His take was just like Jonathan's. He said in his experience he didn’t trust any of the commercial lab results and only one university lab did he think that it was useful to use their results. He also said that he never relied on one result for NK cells and got multiple results from that Lab before he started making evaluations.
 
Effect sizes for the studies:
fimmu-15-1440643-g002.jpg

They looked at 28 total studies. There are multiple per study in the chart because they were stratified by E:T ratio.

What they said about Mawle et al:
The study of Mawle et al. (71) contributed five E:T data points and appeared to be an outlier in the meta-analysis because NK cell cytotoxicity was equivalent between ME/CFS and HC. The authors reported no differences by subgroup analysis for sudden or gradual onset, duration of illness, or health status. Criticism of this study (71) noted that subjects with ME/CFS for longer than 10 years were excluded from recruitment (19), and frozen blood from the ME/CFS subjects did not show evidence of active or latent infection by herpes virus 6 (HHV-6) (141) in contrast to other studies (142144). This study was considered a potential outlier for heterogeneity analysis.

Adjusting for publication bias gave effect size of 0.75 (95% CI, 0.67–0.83):
Publication bias was suggested by the funnel plot (Figure 3) (96, 99) and significant Egger (p = 0.014) and Begg and Mazumdar (p = 0.001) tests (Supplementary Table S4). The trim and fill method predicted eight missing studies (Supplementary Table S5). The method of Gleser and Olkin (100) predicted that 53 unpublished studies (i.e., E:T ratios) would be needed to overcome the published literature (Supplementary Table S6). Rosenthal’s Failsafe N of 9,556 (z = 21.74) (101) and Fisher Failsafe-N of 3,571 (Fisher’s chi-squared p<0.0001) (102) suggested that large numbers of unpublished data would be required to negate the current meta-analysis. Reiteration to account for these influences led to an adjusted combined effect size of 0.75 (95% CI, 0.67–0.83).
 
What they said about Mawle et al:

Also, Mawle et al, one of the few negative results, used 1988 Holmes criteria, which does not require PEM.
Persons in Atlanta who currently met the 1988 CFS research case definition [22] and who had been sick ~ 10 years were eligible for the study.

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I think perhaps this should be:Heterogeneity was high but might be explained by the range of E:T ratios, different methods and potential outliers.
The full text says it a little less confidently:
Heterogeneity was high but likely due to small effect sizes at low E:T ratios for PBMC and NK studies, especially large effect sizes in three studies (70, 85, 93) and apparently negative outcomes from Mawle et al. (71).
 

This meta-analysis excluded the MCAM study for the following reason:
Three papers were excluded for technical reasons including using cells that had been frozen or shipped overnight (32, 45, 49)

[...]

Querec et al. (32) used shipped cells and measured cytotoxicity by intracellular DNA staining that does not provide a suitable measure of early apoptotic cells (111).

I doubt it is a solid finding as there has been several studies that could not find a difference with controls. It's mostly this Australian group (and earlier the one by Nancy Klimas in Florida) that has been pushing this narrative.

The chart of studies certainly looks like something real to me, assuming their reasons for excluding papers were sound.

There were diverse reasons for study exclusion. Two studies found equivalent cytotoxicity in ME/CFS and HC but did not report the data (40, 41). Nine records reported significantly reduced cytotoxicity in ME/CFS, but six did not include control subjects (19, 43–45, 65, 68) and four did not provide any quantitative data (46–48, 66). Five cytotoxicity studies did not use accepted
definitions of ME/CFS but instead defined subjects as low NK cell syndrome (51–54) and EBV infection (50). Seven studies did not report cytotoxicity (55–60, 67). Three papers were excluded for technical reasons including using cells that had been frozen or shipped overnight (32, 45, 49) and measurement of cytoplasmic LDH release into the supernatant (42). Four other papers did not meet the search criteria (61–63)
 
Oh, only 2 out of 28 of the studies used ICC, one of which had a small effect size. The rest used Fukuda or Holmes. (Reference 3 is the paper about ICC.)
ME/CFS was diagnosed using 1988 Holmes (1) criteria (9, 12, 13, 6978), 1994 Center for Disease Control “Fukuda” (2) criteria (14, 15, 79, 8385, 8793), and 2011 International Consensus Criteria (3, 86, 94).

Still, might give insight into whatever Fukuda is measuring.
 
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12 out of the 28 studies in the review came from the same research team as the reviewers at Griffith University. There are also 4 from the Klimas group in Florida who previously advocated this line of research. Other studies are rather old, from before 2000.

upload_2024-12-8_14-30-0.png
 
It also seems that the authors have included multiple estimates from the same study (for example different E:T ratios). I don't think their modelling accounts from the correlation between these, so it is similar to counting some studies multiple times.
 
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