Multi-omics identifies lipid accumulation in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome cell lines: a case-control study, 2026, Missailidis et

OK I did a second pass of the study and I believe that the PTDSS1 upregulation could be a cause of impaired efferocytosis.

From the hypothesis named "A Proposed Mechanism for ME/CFS Invoking Macrophage FcγRI and Interferon Gamma" from @Jonathan Edwards , we read :

"Even if generated locally, interferons on their own may be adapted to mediating a ‘tidy’ process of removing defective or infected cells by apoptosis, with minimal inflammatory signs."

@Jonathan Edwards could impaired apoptotic cell clearance be a plausible factor related to your hypothesis (forgive me if I asked this before)?

Just to note, from the reference section of the paper we find "efferocytosis" (line 1001) being mentioned (as well as the ER / mitochondria crosstalk) which I am happy to see being discussed :





Screenshot 2026-01-09 at 09.01.50.png
 
Looks really interesting and lots to digest and think about. And thanks for the summaries and discussion from those more knowledgeable on this stuff!

@DMissa I’d like to create and share an audio version of the paper if this is okay with you? If you have the plain text of the paper available and could message me with it that would help avoid the hassle of text extraction from the pdf and dealing with formatting etc. if not, no worries.
 
BioPAN pathway analysis of our lipidomic dataset was undertaken to highlight potential pathways and genes of interest relating to lipid reactions. BioPAN is a web-based tool which uses known biochemical reactions to predict important gene products using a user-submitted mammalian lipidomic dataset (25). In this application, we’ve used BioPAN to examine the levels of lipids involved in known reactions to predict whether the involved enzymes are more or less active.
135 lipid pathways and reactions were identified as significantly suppressed or activated in ME/CFS LCLs compared with HCs with the full results provided in Supplementary Table S8. Most importantly, each identified pathway or reaction in BioPAN is accompanied by a list of implicated proteins. In order to investigate whether abnormal expression of these proteins could be driving this wide-ranging lipid dysregulation, we assembled a list of all 43 implicated unique gene products. We then checked for their differential expression using our complementary proteomic and transcriptomic datasets which were generated in previous studies using our ME/CFS and HC LCL collection (5, 6), however using only the female data in this instance.
Of the 43 gene products identified by BioPAN, 25 were detected in our gene expression datasets and 8 of these were differentially expressed (Table 2). Noteworthy among these gene products was Phosphatidylserine synthase 1 (PTDSS1) which was upregulated at both the mRNA and protein level (57.64% higher at the protein level).
Strikingly, PTDSS1 was identified as possessing one of the single nucleotide polymorphisms most associated with ME/CFS diagnosis in a 2016 genome-wide association study (34)

So they used a tool to identify pathways of interest based on levels of lipids in this cohort. The tool gives genes associated with the pathways as well.

The tool gave 25 genes that they could check the expression of using their previous RNA data, which I think was from the same cohort. 8 of these genes were differentially expressed. Of these, they also had protein level data for the gene PTDSS1, and it was significantly upregulated there too.

And a SNP near PTDSS1 was one of the most significant in a GWAS of ME/CFS (Schlauch 2016).

Maybe expression of this gene (or the other 7) could be checked in other existing RNA expression datasets [edit: though this is expression specifically in the lymphoblastoid cells, so it might be specific to that.]
 
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I was surprised to get an email saying that this was out prior to final publication (which is delayed only due to administrative delays caused by the festive season)... I don't recall approving something like this (I don't like pre-prints, I feel it muddies the waters when there are two versions of a paper in circulation, and can cause mistakes to become spread through the broader community) but anyway... enough of that.

Context for this study:
  • IMO the most useful property of these cell lines is that we already have them and we can grow them in huge quantities, reasonably cheaply, compared with the labour and reagents costs involved in sampling patients, so this makes them good for screening for "barn door" changes that are worth validating in primary cells.
  • So, this study was a relatively cheap and quick screen (smallish sample) to see whether anything clearly stood out as metabolically wrong so that we can have some pilot data to help us fund next steps that are less likely to be dead ends.
Main finding:
The big, clear thing that stood out is that the ME/CFS cell lines have way more lipid content that I don't think is explicable by culture medium (discussed in paper, basically the content of this stuff in the medium is really low). I've attached a simple graphical representation of this for people's ease of viewing (every circle is one lipid, and every lipid above the central dotted line is above healthy control levels).

We can speculate endlessly about why it's happening and what the consequences might be, and specifically in a B cell context... if you're interested in all of the plausible speculation that I could come up with, I would direct people to the Discussion... it's too much and too dense to repeat here.

I think the most obvious and potentially relevant consequence would be differences in cell membrane fluidity and lipid raft dynamics (due to the specific classes of compounds involved, including cholesterol). This would affect BCR engagement. A next step would be to verify whether this lipid profile change occurs in primary B cell populations (or other cell populations of interest) and whether it is associated with aberrant BCR engagement. That would be a very detailed and probably expensive study, so it's not been started yet.

Sorry if the "next step" wasn't clear to anyone, I originally had a far less vague final sentence of abstract and Conclusions to make this clearer, but reviewers were asking for very expensive and lengthy validation experiments clearly out of scope so I confined speculation and future steps to the Discussion to emphasise that this was speculation about next steps and not direct conclusions of the data. @Jonathan Edwards I dislike vague interpretation as much as the next guy.

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One elephant in the room is whether what we've seen reflects a body-wide metabolic change or a cell type specific one. Gun to my head, I'd say this is chiefly evidence for the latter, because metabolic control in different lymphoid cell populations is tied up in complex signalling processes that aren't present elsewhere and which can cause total 180-degree flips in which fuel sources are being used. This is also why we need to validate these observations in primary cells next... complexities introduced by the EBV immortalisation used to create LCLs could explain these results. The fact that it's such a group-specific effect means that there is at least some sort of signalling aberration in the parental B cells used to make the cell lines, if not a metabolic one. So we'll see what the primary cells tell us. I think there is clearly something different about the original B cells, it just may not be the exact same differences that we're seeing in the cell lines.

We are also looking at other tissues and we've seen preliminary evidence of enlarged lipid droplets in fibroblasts which suggests something similar, but I don't want to run away with that just yet.

Sadly we did this experiment years ago, with older cohorts which we received from a clinic that has now closed down, so some of the older experiments like this one have limited clinical information attached to them. What we do have, as a strength, is confident CCC ascertainment. I am including more detailed characterisation plus FUNCAP in our newer work but this will take time to become apparent in the publication pipeline.

I will say, though; the circulating cells used to make the cell lines will have been in culture prior to immortalisation, and the cell lines have been cultured through enough passages that metabolically they shouldn't really "remember" what environment they were in effectively "weeks" prior. So while BMI is a possible confounding factor I don't suspect it would be in this case. I also don't suspect this particular group had many or even any pwME who were obese (obesity being a factor that may associate with elevated circulating lipid levels which could contribute to cellular hyperlipidaemia). What we are measuring here is pretty far removed from blood. It would have to result from a pretty stable epigenetic (outside of the regions altered by EBV) or regulatory effect.

I'm sure this has been speculated to death in the various blood-based metabolism studies that have reported related findings... I will refrain here from personally commenting on this as this paper only puts forward evidence for things happening inside cells and I don't want to go beyond that. Until we see more mature evidence in our other tissue samples I will be keeping the focus to first B cells and then other circulating immune cell populations.

Basically, it suggests something wrong with B cells that relates to their metabolism, so we need to next go to fresh cells from people's blood to validate what we saw here. If something similar does exist in cells from people with the illness it could arise from many potential reasons but the most obvious consequence would be abnormal immune function due to differences in an important protein complex called the B Cell Receptor.

Thank you, Trish, while the experiment was pretty quick I think I've spent something like 3 years analysing this data and trying to write it up as carefully as I could!!! I hope it is written clearly and within the evidence. I tried really hard to achieve this.


TLDR: immortalised B cells from pwME clearly have more lipid content, especially molecules that would lead to more rigid cell membranes. Next, this all needs to be verified in fresh, unimmortalised cells from better-characterised patients and in relation to relevant potential issues such as BCR engagement.

Really glad to see phospholipid research being done in ME and this is really great work, well done!

I am not an expert in this so please correct me if I get anything wrong but I wonder if the PTDSS1 signal could reflect a long-term membrane adaptation in the parental B cells rather than a de novo LCL effect. My thinking is that cells don’t really have many safe options when free cholesterol accumulates relative to phosphatidylcholine, they tend to adapt by changing phospholipid composition rather than trying to directly move or eliminate cholesterol. PS enrichment on the inner leaflet is a well-described way of stabilising membrane charge, curvature and protein anchoring when cholesterol ordering increases, and PTDSS1 sits right at the PC/PE to PS routing point that controls that balance.

I’m not assuming a simple “cholesterol turns PTDSS1 on” mechanism, as far as I know that hasn’t been shown directly. It’s more that sustained cholesterol/PC imbalance is known to drive broader membrane-remodelling programs, and increased PC/PE to PS flux is a plausible component of that. Once a cell spends long periods operating in that state, it doesn’t seem unreasonable that the associated transcriptional program could become fairly stable, particularly in immune cells where metabolic states are known to be reinforced over time.

So, could it be possible that the PTDSS1 findings represent epigenetic adaptations to dysregulation in the body that result in increased cholesterol accumulation or stress in B-cell membranes?

Of course, this is just speculative, I’m mainly interested in whether this kind of membrane-stress–driven adaptation sounds biologically plausible to you as an upstream contributor, rather than something that would be very unlikely given what we know. Also, sorry if this has already been suggested and I missed it!

I would also like to connect your research with the Ron Davis research showing reduced red blood cell deformability.

One thing that makes me wonder about a shared upstream influence is that reduced RBC deformability has been reported independently in ME/CFS, and RBCs are essentially passive with respect to membrane lipid regulation- they can’t transcriptionally or epigenetically remodel and largely integrate whatever membrane stress they experience over their lifespan. Reduced RBC deformability is quite plausibly explained by altered membrane lipid composition, including low phosphatidylcholine and an increased cholesterol/PC ratio, which in RBCs would have to arise from plasma-level influences rather than cell-intrinsic regulation.

If that’s the case, it suggests a systemic membrane environment capable of affecting multiple cell types. In that context, altered phospholipid routing in B cells could represent an adaptive response to the same underlying plasma-driven membrane stress that RBCs simply record, rather than an entirely independent, cell-specific phenomenon.
 
Reduced RBC deformability is quite plausibly explained by altered membrane lipid composition, including low phosphatidylcholine and an increased cholesterol/PC ratio, which in RBCs would have to arise from plasma-level influences rather than cell-intrinsic regulation.
PC's were some of the top differences between ME/CFS and Controls in Karl Mortens metabolomics work measuring ~10,000 metabolites. This is a slide from his 2018 New Zealand presentation. I think the work was written up in an ME Association report but I've no idea where to find that.

1768013648533.png
 
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