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It does say on wiki Checkpoint inhibitors effect/inhibit T Cells - is there some chance they could work in LC/ME by that mechnism?

Well, we know that knocking down T cells isn't so bad (with AIDS things are more complicated). We also know that trials of treatments designed to zip up T cells have led to deaths of healthy volunteers (Northwick Park). Blocking checkpoints should zip T cells up. The only theories I can think of for ME/CFS that involve T cells would argue for cooling them down. The rationale for zipping up is killing cancer. I guess it might be killing virus infected cells but the likelihood of that being the problem looks slim to me.

I can't remember what the argument for this was either.
 
What is a “data project” in the context of journalism?
Think maybe as an example looking through disability data pre-post pandemic and trying to find a story/estimate how much the burden of long covid is undercounted.

In general data journalism just kind of means using a lot of graphs/basing a story on data instead of using data to illustrate a story. So often this is the case in things like election analysis after the results have come in or election polling or financial markets etc.
 
Well, we know that knocking down T cells isn't so bad (with AIDS things are more complicated). We also know that trials of treatments designed to zip up T cells have led to deaths of healthy volunteers (Northwick Park). Blocking checkpoints should zip T cells up. The only theories I can think of for ME/CFS that involve T cells would argue for cooling them down. The rationale for zipping up is killing cancer. I guess it might be killing virus infected cells but the likelihood of that being the problem looks slim to me.

I can't remember what the argument for this was either.
That's concerning.

I had a scan of Billy Hanlons Bluesky thread and Nath's rationale seems to be something vague about viral remnants. And something about B cells not maturing.
 
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FoxNews(?!) has an OK(?!) article on ME/CFS.

AI Summary:
Misunderstood illness leaves millions exhausted, with most cases undiagnosed
Chronic fatigue syndrome affects 3.3 million people in US, with one in four confined to bed at some point


The article explains that chronic fatigue syndrome (CFS), also known as myalgic encephalomyelitis (ME), is a poorly understood condition affecting approximately 3.3 million people in the United States. Fatigue from many causes is common, but when severe exhaustion lasts for months, often after an infection, it may signal CFS. About one in four patients are confined to bed at some point, yet past research suggests only around 15% are correctly diagnosed.

CFS is defined by severe new-onset fatigue lasting at least six months that limits daily activities, worsening malaise after physical or mental exertion, and unrefreshing sleep. Patients may also experience brain fog or lightheadedness when standing. There are no definitive diagnostic tests, so doctors rely on patient history, examinations, and ruling out other conditions such as hypothyroidism or depression.

Experts describe CFS as an immune-related disorder, more common in women, with possible genetic links on the X chromosome. Triggers can include infections, chronic stress, nutritional deficiencies, hormone imbalances, sleep problems, trauma, pregnancy-related hormonal shifts, and sudden infections like COVID or mononucleosis. Treatment varies, focusing on symptom management through lifestyle changes, therapies, and medications, as no single therapy works for everyone.
 
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