Environmental Drivers
of Complex Chronic IllnessScott Daniska
Cropped detail of the same transmission electron micrograph shown in full further down this page: the myelinated nerve's dense cluster of dark particles, at wide banner aspect.

Evidence

A collection of evidence supporting the environmental illness model, including imaging, electron microscopy, capillaroscopy, antibody testing and clinical photographs — with a focus on a collection of primary observations.

Transmission electron micrograph from the subject's own punch biopsy, 4800×.

A Nikon microscope on a desk with a camera and a small monitor mounted on top; the screen shows a stained tissue section, and a slide sits on the lit stage.
A microscope I put together myself to do nailfold capillaroscopy, 2023.

Epithelial barrier damage

Two-panel figure of human airway tissue exposed to clean air or 30 ppm formaldehyde. Panel A, purple-stained sections after five exposures: the clean-air lining is a tall, orderly layer of cells, with an enlarged inset of its surface; the formaldehyde-exposed lining is ragged, with detached and dead cells, an inset labeled necrosis, decreased ciliation, loss of goblet cells and loss of ciliated columnar cells, and a second section that is thin and flattened, labeled atrophy and squamous differentiation. Panel B, brown staining for involucrin and CK13 in clean air and formaldehyde, after five exposures (T5) and after 10 days of recovery (PT10): at T5 the formaldehyde tissue is stained dark brown for both markers, far more than clean air; at PT10 the difference is much smaller.
From published research E1 — A. Human airway tissue after five daily 4-hour exposures (T5). Clean air: an intact lining of ciliated columnar cells and mucus-producing goblet cells. 30 ppm formaldehyde: necrosis, fewer cilia, loss of goblet cells and ciliated columnar cells, and in other areas a thinned (atrophic) lining with squamous differentiation, where the normal airway lining turns into flat, skin-like cells. After 10 days of recovery in clean air (PT10, not shown), goblet cells had only partly returned and were smaller than normal, and cystic degeneration and squamous differentiation persisted.

B. Staining for involucrin and CK13, two markers of squamous (skin-like) cells. After the fifth exposure (T5), both rose sharply in formaldehyde-exposed tissue: involucrin at the airway surface, CK13 throughout the tissue. After 10 days of recovery (PT10), both had fallen but stayed slightly above clean-air levels.

Adapted (cropped and relabeled) from Ren B, Wu Q, Muskhelishvili L, et al., “Evaluating the Sub-Acute Toxicity of Formaldehyde Fumes in an In Vitro Human Airway Epithelial Tissue Model,” Int J Mol Sci 2022;23(5):2593, Fig. 8 (CC BY 4.0).

The first stage of the model is damage to the epithelial barrier. Although that initial damaging event for myself was chemical, it doesn't have to be for others. It can come from infection, such as COVID-19, a respiratory virus that first infects the lining of the nose and airways, or from an inherited weakness in connective tissue that leaves the structural integrity more vulnerable. Because the damage is non-specific, the illness can begin in many different ways and look different from one person to the next, which is part of why these conditions are so heterogeneous.

So what evidence is there that epithelial barrier damage is occurring, and what further testing could we do to prove and categorize the type of damage further? Photographing barrier damage in my own airway would be the most concrete way to prove this and it could be done, but only with an invasive biopsy. That would not be a standard clinical test, which is why I haven't had it done. We do know however that environmental exposures can cause this type of change, as it has been shown directly in laboratory airway epithelium directly exposed to formaldehyde (E1).

What viral infections do to the epithelial barrier

Six scanning electron micrographs in two columns, infected chip epithelium on the left and mock-infected on the right, at 200x, 2000x and 60000x. The infected surface carries scattered rounded dead cells and cell remnants, a ruptured cell with a torn membrane, and clusters of spherical virus particles; the mock surface is comparatively smooth and densely covered in microvilli.
From published research E2 — Scanning electron microscopy of the chip epithelium 28 hours after SARS-CoV-2 infection (left) against mock infection (right), at 200×, 2,000× and 60,000×. Figure 5A of Deinhardt-Emmer et al., 2021, reproduced under CC BY 4.0.

A common respiratory virus destroying human airway epithelial cells: dead cells and remnants, disrupted membranes and loss of microvilli 28 hours after infection, against an intact mock-infected surface.

We also now have evidence of this in people with Long COVID. Baalbaki et al. (2026) studied nasal epithelial cells from Long COVID patients in the Dutch P4O2 cohort, alongside people who had recovered from COVID-19 and healthy controls. In the subgroup of Long COVID patients that this test was conducted on, the nasal epithelium showed impaired barrier function in all patients, with reduced levels of the tight-junction proteins ZO-1 and occludin, and were more sensitive to viral triggers. Barrier repair was impaired despite faster wound closure, and it produced more inflammatory signaling, including IL-1β, which in turn activated immune cells in the blood. The authors conclude that nasal epithelial dysfunction in this subgroup may contribute to the wider immune dysregulation seen in Long COVID.

So chemical exposures are one way to damage this barrier, viral infections are another, and now SARS-CoC-2 infections have been studied very closely. In a human chip model built from epithelial cells, endothelial cells and immune cells, SARS-CoV-2 infected the epithelial layer efficiently, reaching high viral loads and provoking a strong inflammatory and interferon response (Deinhardt-Emmer et al., 2021).

Twenty-eight hours after infection that epithelium was visibly coming apart. Electron microscopy showed dead cells and cell remnants lying on the layer, with the plasma membrane disrupted and the microvilli lost. Lactate dehydrogenase, which a cell releases when its membrane ruptures, rose significantly on the epithelial side. Over the same window the barrier itself began leaking: permeability was unaffected at eight hours and significantly increased at twenty-eight.

What happened underneath is the part I keep returning to. The endothelial layer was never productively infected — no viral components were visible inside endothelial cells at eight, twenty-eight or forty hours — and yet by forty hours its barrier function was failing too. The paper puts that down to cytokines released by the infected epithelium beside it, and reports viral particles crossing the disturbed barrier. The authors note this matches what was found at autopsy in people who died of COVID-19: the endothelial layers of the alveolar capillaries still intact, the epithelial tissue seriously damaged (Deinhardt-Emmer et al., 2021b).

That is the shape of the argument this whole site makes, arrived at from a completely different direction: damage the epithelial barrier, and things that were never meant to get through start getting through.

The gap in Long COVID research

Immunofluorescence panels comparing mock-infected cells to cells infected with three SARS-CoV-2 patient isolates, stained for viral spike protein, DAPI, VE-cadherin and a merged channel. The VE-cadherin junction pattern is less continuous in the infected samples than in the mock control.
From published research E3 — VE-cadherin junction staining in mock-infected cells versus cells infected with three SARS-CoV-2 patient isolates (source: Deinhardt-Emmer et al., 2021).

SARS-CoV-2 infection disrupting the same junction-protein pattern in cultured cells, across three patient isolates versus mock infection.

We already know an acute respiratory infection can strip away this barrier. E2 shows it happening within a day, and that part isn't controversial. What I find strange is how little of the Long COVID research effort has followed it. The field has concentrated on viral persistence, immune dysregulation and microclots. Barrier damage is not absent from that literature — but it is not being treated as a central mechanism either.

The evidence that the damage persists is there to be picked up. In one study, 100% of tested Long COVID patients showed impaired nasal epithelial barrier function, including near-total loss of Occludin, one of the core proteins holding the tight junctions between epithelial cells together, compared with healthy controls (Baalbaki et al., 2026). In hamsters, upper respiratory tract tissue stayed inflamed and epithelial cells kept dying for months after the infectious virus itself was gone (Liu et al., 2026) — damage outlasting the trigger.

Barrier integrity has also been measured as a predictor of how badly the acute illness goes. In 328 COVID-19 patients against 49 controls, severe cases carried significantly more circulating bacterial DNA, and a panel of proteins tracking bacterial translocation separated the severe cases out (Yazici et al., 2023). That study measures the gut barrier rather than the airway, and I include it for what it shows about barrier integrity being treated as a determinant of outcome, not as evidence about the tissue this site is concerned with.

Epithelial Barrier Theory

Damage to the epithelial barrier has already been implicated in a wide range of diseases, most firmly allergies and asthma, but also eczema and inflammatory bowel conditions. What has barely been considered is its role in complex chronic illnesses like ME/CFS and Long COVID. The researcher who has done the most work on this is Cezmi Akdis, at the Swiss Institute of Allergy and Asthma Research. His Epithelial Barrier Theory proposes that barrier damage plays a general role in many illnesses: toxic substances introduced by industrialization and modern lifestyles disrupt the epithelial barrier of the skin, the upper and lower airways and the gut, causing microbial dysbiosis and an inflammatory immune response that can initiate or aggravate more than 70 chronic inflammatory diseases (Epithelial Barrier Theory; Akdis, 2021). The model on this site is my own, but it builds on that foundation.

The exposures it names are the ones this site is about, and the airway work is specific. Laundry detergent, diluted 1 in 25,000, disrupts the tight junction barrier of primary human bronchial epithelial cells — and so does the residue left behind after rinsing (Wang et al., 2019). PM2.5 lowers transepithelial resistance and cuts claudin-1, occludin and ZO-1 in human nasal epithelium, and pretreatment with a steroid does not restore the barrier (Xian et al., 2020). Microplastic particles cross a human lung epithelial model, and nylon fibers and cleaned polyethylene disrupt that barrier and trigger IL-6 release without killing the cells (Donkers et al., 2022).

Where my argument departs from theirs is the disease list. The 2024 survey of the theory works through roughly 68 conditions across skin, airway, digestive, neuropsychiatric, autoimmune, metabolic and ocular categories (Sun et al., 2024). ME/CFS is not among them. Neither is fibromyalgia, and neither is multiple chemical sensitivity — none of the three is mentioned anywhere in that paper. Long COVID is discussed, but only as a possibility, and it appears in none of the paper's tables; severe COVID-19, by contrast, gets a table row and a firm statement that it fits the theory. So the mechanism is established and published. The connection is well established for allergies and asthma. It has not been made for ME/CFS or multiple chemical sensitivity, and that is the part I am arguing for.

Three findings that don't fit neatly under skin or vasculature, but that I think belong in the same barrier-damage picture.

Extreme close-up of a red, inflamed lower eyelid with a small clump of mucus visible at the lid margin. A
A visibly bloodshot eye during the mucus-shedding period, with fluid pooling along the lower lid. B
Own observation E4 — A: mucus clump (arrow) on the lower lid. B: the same eye during the shedding period (arrow: mucus clump).

A: a mucus clump (arrow) on the lower lid during a months-long shedding event. B: redness in the same eye during the shedding period (arrow: mucus clump). Both were followed later by a corneal neuropathic pain diagnosis.

Ocular mucus shedding. In 2025, mucus began coming off the surface of my eye in small clumps, repeatedly, for several months — not a one-off irritation. I had to remove clumps from the lower lid several times a day at the worst of it. It has not recurred since. I read a single shedding event like this as a permanent change to the eye's surface rather than a repeating condition, and I've since been diagnosed with corneal neuropathic pain, with neuropathy, neuromas and Langerhans-cell infiltrates found on corneal exam.

The eye's surface is protected by the same kind of barrier as the airway: a mucus layer, built from mucin proteins, that keeps irritants off the epithelium beneath it. Huitsing et al. (2024), working with Nancy Klimas's group, proposed that this layer may be compromised in ME/CFS. They point out that roughly 70% of ME/CFS patients report sicca symptoms (dry eyes and mouth) and 75–80% an irritant rhinitis with increased mucin production. In a pilot genetic dataset of 383 ME/CFS patients, they also report variants in the mucin genes MUC16, MUC19 and MUC22 in most of them. Their argument is that a weakened mucus layer leaves the epithelium exposed to repeated irritation, which could drive the kind of chronic low-grade inflammation seen in ME/CFS. What I saw in my own eye (E4) fits that picture from the other direction. Months of mucus shedding from the eye's surface were followed by a diagnosis of corneal neuropathy, with neuromas and immune-cell infiltrates in the cornea: the outcome you would expect if the protective layer failed and the tissue underneath was left exposed. The paper is a hypothesis, not a measurement. It doesn't examine anyone's eyes, and the effect of those gene variants is unknown. But it is the closest published account of what happened to mine.

An open mouth photographed from the front: the uvula in the center, and on either side of it a darker red band arching down the front pillar of the throat, each ringed in red.
Shared publicly E5 — Crimson crescents (circled): crimson discoloration along the anterior pharyngeal pillars, either side of the throat. Photo shared on r/covidlonghaulers; original source unknown.

Crimson crescents. This is a recognized clinical sign in ME/CFS — crimson discoloration along the anterior pharyngeal pillars, seen in roughly 80% of patients at one CFS clinic, without accompanying pharyngitis (Cunha, 1992) (E5). Its cause has never been established. I think two things combine to produce them. The first is breathing pattern: when the brain is short of oxygen, breathing shifts toward the mouth, which takes in more air with less effort than breathing through the nose. That sends more unfiltered, unhumidified air across the back of the throat. The second is barrier damage. In tissue whose barrier is already compromised, irritation concentrates where friction from airflow is greatest. As air turns down into the throat it meets the most resistance against the pillars at the sides, the way an aircraft wing's leading edge takes the most force. Inhaled VOCs and particles would irritate and deplete tissue exactly there. That would explain why the discoloration forms crescents at the sides rather than spreading evenly across the throat. It is my hypothesis; the cause has never been established.

Own observation
ParameterCut offUnits/ml
Anti AT1R Antibodies <10.0 U/ml: negative
10.0 – 17.0 U/ml: at risk
> 17.0 U/ml: positive
23.2
(positive)
Anti ETAR Antibodies <10.0 U/ml: negative
10.0 – 17.0 U/ml: at risk
> 17.0 U/ml: positive
21.8
(positive)
Anti α-1-adrenergic Antibodies <7.0 U/ml: negative
> 7.0 U/ml: positive
10.5
(positive)
Anti α-2-adrenergic Antibodies <15.0 U/ml: negative
> 15.0 U/ml: positive
8.1
(negative)
Anti β-1-adrenergic Antibodies <15.0 U/ml: negative
> 15.0 U/ml: positive
8.5
(negative)
Anti β-2-adrenergic Antibodies <8.0 U/ml: negative
8.0 – 14.0 U/ml: at risk
> 14.0 U/ml: positive
7.5
(negative)

View original report scan

E6 — My own CellTrend panel: positive for anti-AT1R (23.2 U/ml), anti-ETAR (21.8 U/ml) and anti-α1-adrenergic receptor antibodies (10.5 U/ml); negative for anti-α2, anti-β1 and anti-β2-adrenergic receptor antibodies.

A positive result on three of six antibody markers tested, on a single draw.

GPCR autoantibodies. Autoantibodies against G protein-coupled receptors (GPCRs), chiefly the adrenergic and muscarinic receptors, have been one of the main threads in ME/CFS research for the past decade. The study that did most to put them there tested 268 patients against 108 healthy controls and found antibodies against the β2, M3 and M4 receptors significantly elevated in patients (Loebel et al., 2016).

They are not specific to ME/CFS. A screen of 408 healthy people aged six months to 85 found 10.0% positive for anti-β1-adrenoceptor and 11.3% for anti-M2-muscarinic antibodies, with the frequency rising significantly with age (Liu et al., 1999), and they turn up across conditions with nothing in common — heart failure (Markousis-Mavrogenis et al., 2023), Sjögren’s syndrome and systemic sclerosis (Cabral-Marques & Riemekasten, 2017), periodontitis (Scherbaum et al., 2020). The clearest test is POTS: 116 patients and 81 healthy controls run on the same kind of commercial ELISA these panels use showed no significant difference for any of the eleven receptors tested, and 98.3% of the patients and 100% of the controls scored above the manufacturer’s own threshold for a positive anti-α1-adrenergic result (Hall et al., 2022). None of that has moved them off center stage. They remain at the forefront of a lot of people’s attention.

The Sfera hypothesis also offers a different reading of the adrenergic autoantibodies. If those antibodies arise from microbial molecules translocating across a permeable gut barrier and cross-reacting with host receptors, then they are a marker of barrier permeability rather than a primary autoimmune driver.

That reading is set out in detail by Sfera et al., 2021. These antibodies are usually read as the immune system attacking altered self proteins. The paper offers an alternative: that they may instead be directed at microbial molecules translocated out of the gut through a disrupted barrier. Many gut microbes express muscarinic and adrenergic receptors of their own, so antibodies raised against a translocated organism's receptors can cross-react with the host's own — the paper works the case through with the β1 and β2-adrenergic receptors of translocated E. coli. On that reading an autoantibody panel is a downstream marker of barrier failure rather than a primary autoimmune process.

Two limits on how far that argument reaches these results. Its cross-reactivity case is built on β2-adrenergic and muscarinic cholinergic receptors, and those are not what this panel came back positive for: β1, β2 and α2 were all negative here, and the positives were AT1R, ETAR and α1-adrenergic (E6). And the paper is about the intestinal barrier and translocation from the gut, while the barrier this site argues about is the respiratory epithelium — applying the logic to a different barrier is an extension of the paper's argument, not something the paper itself says.

Tissue depletion

Tissue depletion is Stage 2 of the model. The airway lining is constantly repaired by its own stem cells, the basal cells, which divide to replace cells that are damaged or killed. Every inhaled exposure that kills lining cells spends some of that repair capacity, and my hypothesis is that repeated injury eventually uses it up faster than it can recover, leaving the barrier thinner, slower to heal and easier to breach. Because the central airways take the heaviest share of everything we breathe in, I would expect that depletion to be concentrated in the central chest. The evidence below is what led me there: what I felt, what other patients describe, and what my own imaging shows.

Since many of the studies I would love to see done in Complex Chronic Illness haven't been done, I have to fill in the gaps with the only information source more trustworthy than peer-reviewed scientific studies: primary observation. While my own lived experience has been a fantastic (and horrible) lens through which to view these illnesses, I have to add the disclaimer that the sample size is obviously small. However, I've compared my experiences with the stories of enough people in the community who have the same diagnoses, and seen the same patterns, to justify a broader relevance. I might even speculate that the relevance here across the community is significantly larger than that of much better-known comorbidities, including CCI, MCAS, IBS and SFN.

In my own case, after my decline in 2021, I started noticing this "crack" forming in my chest. I first noticed it when I drank something cold: it felt as if I had spilled ice water down my chest, and I could turn the sensation on and off just by tightening or relaxing my chest muscles. Earlier, I could also temporarily tolerate environments with bad air quality by tightening those same muscles. My interpretation is that compressing the tissue closed gaps that exposures were otherwise getting through. I have wondered whether this is partly why so many people with these illnesses slouch: not only because of spinal laxity, but because compressing the chest may close tissue gaps in the airway. It sounds weird, but it's the best way I can describe it. It was something unusual that I had never felt before in my life, and I knew there had to be some clinical meaning behind it. As time went on, I could tell this exposed area in my chest was growing. Noticing it took careful attention to subtle sensations of blood flow, very mild burning, weakness when breathing, and more. I found that other members of the community, even some with very different onsets from mine, described some of these bizarre symptoms exactly the way I would (see the patient testimony below).

Axial chest CT slice from the subject's 2017 scan, showing an arrow marking the retrosternal space behind the sternum, with a 100 millimeter scale bar at the right edge.
Own observation

My thymus

Axial chest CT slice used for comparison, with an arrow marking thymic tissue in the retrosternal space. Publicly available healthy control

“Normal” thymus from internet

The two scans are shown at their own scale, not matched to each other: they were taken at different fields of view, and only the left-hand scan carries a scale bar.

E7 — Chest CT, 2017. The retrosternal space where the thymus sits appears compressed relative to a typical scan. Read as normal at the time.

A compressed retrosternal space in my 2017 scan, in the region where the thymus sits.

“Anyone else have an empty feeling deep in the middle of their chest. Like something is missing? Like a large area just isn’t there anymore?” Patient testimonyApril 14, 2025

The chest CT scan I had in 2017 shows the region (E7) where I have always felt the root of my illness lies, and it sits right beside the central airways, where I would expect the effects of repeated airway injury to be greatest. Although the radiologist reviewing the scan deemed it normal, the area where the thymus sits in the retrosternal space looks, in my opinion, very compressed relative to healthy scans. Because I'm convinced that damage to this area is at the heart of my illness, I keep coming back to this scan; I know for certain that something is not right there. I think compression here could affect the heart and great vessels next to it. The area is densely innervated by the vagus nerve and sits adjacent to the airway and to the vessels that carry blood out of the heart.

Entry of abrasive nanoparticles and connective tissue failure

Histology of rat myocardium after titanium dioxide exposure, showing marked separation of cardiomyocytes, deeply stained necrotic muscle fibers, pyknotic nuclei, inflammatory infiltration and hemorrhage.A — Rats exposed to titanium dioxide (heart muscle)
A bar chart headed Necrosis, percentage of participants at baseline and one day after post-exertional malaise: the red bars rise from about 10 to about 40 percent, the white bars from none to about 10 percent. Beside it, a stained section of skeletal muscle in which a large pale area crowded with small dark nuclei has replaced the pink muscle fibers.B — Long COVID, one day after post-exertional malaise (skeletal muscle)
From published research E8 — A: rat heart muscle after titanium dioxide nanoparticle exposure, showing marked separation of fibers, necrotic fibers, pyknotic nuclei, inflammatory infiltration (circle) and hemorrhage (El-Bestawy & Tolba, 2020). B: skeletal muscle from people with Long COVID one day after an exercise-induced crash (post-exertional malaise), with large areas of necrotic fibers; the share of participants showing necrosis rose sharply after the crash, to 36% of those with Long COVID (red bars; white bars are healthy controls) (Appelman et al., 2024, Fig. 5B, cropped, CC BY 4.0).

Similar tissue changes after titanium dioxide exposure in rats (A) and after post-exertional malaise in Long COVID (B).

Published research Two magnified vessel images side by side, labeled Control and 8 micrograms per kilogram: the treated sample shows a wider halo of dye leakage around the vessels than the control. A
Own observation B
E9 — A: Dye leakage around blood vessels in a control sample versus a titanium dioxide nanomaterial-treated sample, showing increased vascular permeability at the treated dose (source: Setyawati et al., 2013). B: Nailfold capillaroscopy at 150×. Left (arrow): a giant capillary with asymmetric limb dilation. Right (arrow): a microhemorrhage. Microhemorrhages occur at an above-normal rate and are consistently associated with dark spots.

Published findings of leaking blood vessels after a titanium dioxide nanomaterial dose (A) beside microhemorrhages and dark spots in my own nailfold capillaries (B).

Stage 3 of this model is the separation of tissue by abrasive nanoparticles, which causes blood vessel leakage and perforation of collagen bundles. Because dermal manifestations are the easiest to track and image without an invasive biopsy, I frequently took photographs of the changes that followed major exposures and health changes. This is yet another reason to acknowledge that these illnesses are systemic: doing so allows us to acquire cheap and concrete data sets. After the painted room, the changes to my skin were rapid and shocking: my skin became pale, striated, slow to heal and almost unrecognizable compared with what I had seen every day for the prior 30 years of my life.

Petechiae. The red dots shown (E10) are not a rash — they're not raised, not itchy, and only triggered by mechanical means. I believe what we are seeing here is blood. Titanium dioxide nanomaterials have been shown to cause endothelial cell leakiness by disrupting VE-cadherin, and they are able to penetrate cell junctions because of their small size. This results in blood vessel leakage. Under normal circumstances of daily activities, I never saw them. They were only brought on by two things: excessive vasodilation from heat (hot showers), or the physical pressure of lying on my arms while I was asleep on my side, which is the mechanical-stress reading of post-exertional malaise set out on the Model page. No other types of exposures triggered them. Diet didn't trigger them. Anti-inflammatories and allergy medications didn't get rid of them. The mechanical nature of their presence, in my view, necessitates strong consideration of the mechanical nature of this disease.

Forearm skin covered in scattered small red dots beneath the surface.
Own observation E10 — Red dots under the skin, appearing after suspected titanium dioxide exposure.

Red dots under the skin consistent with blood vessel leakage.

Ligament laxity. Signs of this particulate exposure show up in deeper tissue as well. Once the fibers within collagen and elastin bundles separate and lose their alignment, interstitial pockets enlarge and become places for waste and contaminants to collect. That separation is also my working explanation for the ligament laxity described on the Personal Journey page — acquired structural damage to connective tissue from environmental causes, not genetic ones (E12). This goes against all current medical knowledge on the subject of connective tissue. If a patient is suspected of having a connective tissue disease, they are given either an antibody test for autoimmune disease or a genetic test to identify genetic connective tissue disorders. There is no clinical test for acquired connective tissue disease from environmental causes, nor is there even any test for directly observing it. TEM of collagen structure was once used more widely in diagnosis, but it is now rarely used clinically and has largely given way to genetic testing, which is cheaper, quicker, and less open to varying interpretations.

Skin on the hand showing deep striations beneath the surface, after a nanoparticle exposure event.
Own observation E11 — Deep striations beneath the skin, after the exposure event described on the Personal Journey page. These are not cracks from dry skin; the lines sit well below the surface, consistent with separation between cells.

Deep lines under the skin following the exposure event.

Endothelial leakiness. Setyawati et al. (2013) exposed human blood-vessel cells to titanium dioxide nanoparticles 23.5 nm across and found the cell layer became leaky within 30 minutes, at concentrations as low as 10 µM. Titanium dioxide particles about 30 times larger had no effect. What stands out is how it happened. The leakiness began before the cells had taken up any meaningful number of particles, and blocking uptake didn't prevent it. The authors propose that, simply because they are so small, the nanoparticles migrate into the adherens junctions between endothelial cells and disrupt them directly. They showed the particles binding VE-cadherin, the protein that holds neighboring cells together, and that VE-cadherin was then broken down. In mice, a small subcutaneous dose increased dye leakage from blood vessels (E9A). This is the kind of mechanical, particle-driven damage stage 3 of my model describes: no toxicity or immune response is needed, only particles small enough to get between cells and pry them apart. The authors note that their mouse experiments used artificial delivery routes, and that reaching these doses in people would take extreme, long-term exposure across possibly damaged barriers. That is exactly the situation this model describes.

The same paper argues this is mechanical rather than oxidative: reactive oxygen species only rose significantly 24 hours after exposure, well after the leakiness itself appeared, across every concentration tested (Setyawati et al., 2013).

This same junction protein is not only vulnerable to titanium dioxide. SARS-CoV-2 has been shown to disrupt VE-cadherin directly, which is one of the reasons I think a virus and a nanoparticle can produce the same downstream barrier failure by different routes (E3).

Own observation E12 — Shoulder ligament laxity: excessive joint movement that started suddenly, with no injury, and that the other shoulder doesn't show.

A real, visible range-of-motion difference between the two shoulders, with no injury event to explain it.

Muscle fiber separation. The same exposure produced striations deep in the skin (E11) shortly afterward. Titanium dioxide has been shown to cause separation of muscle fibers through disruption of junction proteins. In 2024 a muscle-biopsy study of people with Long COVID found strikingly similar changes after a crash induced by exercise (E8B): large areas of necrotic fibers, small atrophic fibers and infiltration by immune cells, worsening between a baseline biopsy and one taken the day after post-exertional malaise (Appelman et al., 2024). Healthy controls showed some necrosis after the same exercise too, and the paper did not find the difference between groups statistically significant; what stands out is how much more common it was in the Long COVID group after the crash. The resemblance to titanium dioxide damage in animal tissue (E8A) is what led me to propose, in February 2024, that nanoparticles help drive post-exertional malaise. The comparison has clear limits: A is rat heart muscle after a controlled dose, B is human skeletal muscle, and the Long COVID study did not measure titanium dioxide or any other particle. It shows the same pattern of damage, not the same cause. Testing muscle biopsies like these for nanoparticles is the obvious next step.

Capillaroscopy. This capillaroscopy (E9B) is my own. I bought a microscope and examined my own nailbed with it, several times a day, over a period of six months to a year. That repeated-measures approach is the difference from a single clinical snapshot: it is the same patient, imaged many times, rather than one image taken once. The enlarged capillaries and microhemorrhages I see are not constant — only a small fraction are affected at any one look — but across that many looks, they are consistently there.

Those dark spots (E9B) are the finding I find most interesting. They could be hemosiderin from vessel damage, or they could be the microclots themselves. They are slightly larger than the microclots seen in blood testing, which would fit if clots continue to grow before becoming visible in the nailbed.

Two more physical signs from the same period, covered in more detail on the Personal Journey page: new fingernail changes appearing with each major step-down, and a sudden joint hypermobility with no injury behind it.

Where does injected titanium dioxide actually go? One of the older studies in the reference list injected it into animals and then measured where it ended up — the highest concentration by a wide margin was in the abdominal lymph nodes, well above any other organ tested. That is consistent with what I'd expect if lymph nodes are where clearance bottlenecks: material that cannot be filtered out efficiently accumulates exactly where filtering is supposed to happen.

Histology & Imaging

Nerve biopsy. The standard clinical practice for small fiber neuropathy (SFN) testing is highly flawed. Standard neuropathy tests count the nerve density in a skin punch biopsy. Density is a relative measure, not an absolute one: if the surrounding tissue structure is damaged and the total volume of skin shrinks along with the nerve endings, the density stays consistent, so the absolute count can fall while the relative density stays the same and reads as normal. Even then, the standard clinical biopsy will only tell you whether a nerve is dead — it says nothing about nerve compression, myelin damage, improper migration, or mitochondrial swelling. In other words, the standard clinical test is a measure of nerve death, not of damage or dysfunction. So I decided to take matters into my own hands, and in 2023 I had a 3 mm punch biopsy taken 3 cm above the medial side of my left elbow and imaged with transmission electron microscopy. I wanted to see what these peripheral nerves looked like down to the ultrastructural level, which would show the types of damage and dysfunction that the standard SFN tests would not, in addition to histological changes in other cell types.

Corneal imaging. In 2019, confocal microscopy of my corneas showed neuropathy: neuromas, areas of reduced nerve density, and inflammatory dendritic (Langerhans) cells clustered along the nerves (E13), and I was diagnosed with neuropathic corneal pain. Yet a standard small fiber neuropathy skin biopsy near my ankle came back normal. That is further proof that our current neuropathy testing is flawed. Beyond the problems with density measurement I've already described, there is a simpler one: if neuropathy is patchy, or confined to specific tissue types or locations, a single biopsy taken near the ankle will miss it entirely.

Four grayscale confocal microscopy images of corneal nerves, with bright clusters of inflammatory dendritic cells along the nerve fibers.
Own observation E13 — Corneal confocal microscopy, right eye, September 2019 (Heidelberg/Zeiss 63×, 400 µm field). Nerve fibers appear as thin white lines; the bright clusters are dendritic (Langerhans) cells, a sign of inflammation. The exam also found neuromas and areas of reduced nerve density.
Transmission electron micrograph of a myelinated peripheral nerve, with a dense cluster of dark granules and pale clumps in the surrounding Schwann cell cytoplasm. Transmission electron micrograph of a second myelinated nerve fiber, its thick dark myelin sheath bent into a curve, with a cluster of pale clumps edged by dark granules in the Schwann cell cytoplasm at upper left.
Own observation E14 — Punch biopsy, transmission electron microscopy. Left (4800×): abnormal inclusions in a myelinating Schwann cell. Right (4800×): a second myelinated nerve fiber from the same biopsy, with pale clumps edged by dark granules in the Schwann cell cytoplasm. Both confirmed as abnormal by outside nerve morphologists.
Electron micrograph of a normal collagen bundle showing evenly packed fibrils in cross-section. Electron micrograph of an ME/CFS collagen bundle showing scattered, disorganized fibrils.
Own observation E15 — A normal collagen bundle (left, reference image) compared with a bundle from my punch biopsy (right): fibrils of normal diameter, but separated and disorganized. Confirmed as abnormal by outside nerve morphologists.

It took me four and a half years, but I was finally able to get the TEM imaging I had always wanted through clinical means. However, I ran into a problem: a lack of control images. Even if I found some abnormalities, I had no idea whether they were medically relevant, because virtually everyone has some degree of histological variation in their samples. I needed input from someone who sits at a microscope and looks at these types of images day in and day out. I sent these images to dozens of nerve morphologists to try to find someone who could give input. Several confirmed the abnormality independently. Two of their assessments:

There is some sort of breakdown of the Schwann cell cytoplasm. The dark material in the cytoplasm is from breakdown. It is abnormal. Dr Mary Bartlett BungeUniversity of Miami
The white clumps with black dots are most likely glycogen depositions. The inclusions you see are in myelinating Schwann cells. They are not normally found in Schwann cells, but can be found in some pathological conditions. Dr Angelo QuattriniOspedale San Raffaele

On the collagen (E15): fibril diameter and fibril counts were normal (I counted and measured them myself using ImageJ software), but the bundles were separated and disorganized. A synthesis defect would be expected to change the fibrils themselves. Normal fibrils in disordered bundles read to me as mechanical disruption after the fact.

A second, independent observation

Side-by-side electron micrographs: reference titanium dioxide nanoparticles on the left, clustered dark spherical particles of similar size and shape, next to the subject sample on the right, showing a comparable cluster of dense dark particles.
Own observation E16 — Reference TiO2 nanoparticles (left) next to the dense particles from my own punch biopsy (right), for visual comparison only.

That the size, shape and clustering of the particles in my biopsy resemble reference images of titanium dioxide nanoparticles.

I had actually seen this exact pattern once before, years earlier, and never made it public until now. While working in ME/CFS research — before I had this illness myself — I looked at a small, limited number of tissue samples from other ME/CFS patients. Collagen diameter, calcium deposits, and signs of degradation all came back normal. The one abnormality, in every sample, was the same one I would later find in my own biopsy: collagen bundles that should be held tightly together were separated and distorted in direction, more so than in the healthy samples I compared them against. I want to be precise about what this is and isn't — it's my own reading of a small unpublished sample, not a peer-reviewed case-control study, and it predates my own diagnosis, so it isn't self-referential in the way my own biopsy is. But it is a second, independent observation of the same specific abnormality, in different patients, made before I had any stake in finding it.

Three things stand out to me. Glycogen deposits and Nissl substance in mass, pressing on nerves. Pockets of demyelination that do not look like MS or dense degeneration, and look more like puncture or tearing. And glycogen deposits in keratinocytes, the cells that form the epithelial barrier.

The peripheral nervous system does have a normal feature that produces myelin pockets — Schmidt-Lanterman incisures, which are stable, funnel-shaped openings that appear in every healthy nerve. I want to be upfront that these could just be that. But in my own view the openings I see do not look stable or uniformly organized the way incisures typically do, which is why I read them as mechanical damage rather than a normal structural feature. That is my interpretation, not a settled morphological finding.

The dense particles in the third image are the least settled finding here (E16). Size, shape and composition all affect how a particle interacts with a given cell type, and I have not been able to get compositional analysis done. I am not claiming these are titanium dioxide. I am saying they warrant testing.

Entry and lodging of fibers and polymers

Stage 4 of the model is about substances that are able to move through the bloodstream, but deposit and accumulate in the body: fibers and polymers from plastics, paint, adhesives, mulch and other substances with high adhesive properties and/or irregular shapes. Every day we breathe in fibers shed by bed sheets, carpets, adhesives, paint and plastics, which float through indoor air in large numbers. Research has already shown substances like microplastics can accumulate in the brain from inhalational exposures (Amato-Lourenço et al., 2024; Chen et al., 2025), and we know this is a phenomenon that affects everyone.

Plastics in the brain. The strongest published evidence that plastics accumulate in the human brain comes from Nihart et al. (2025) in Nature Medicine. They measured microplastics in liver, kidney and frontal-cortex tissue from people who had died, using pyrolysis gas chromatography–mass spectrometry. The brain held far more plastic than the other organs: a median of about 4,900 µg per gram in 2024 samples, against roughly 430 µg/g in liver and 400 µg/g in kidney. Brain concentrations rose significantly between 2016 and 2024, and about three-quarters of the plastic in brain tissue was polyethylene. Brains from people with dementia held considerably more (a median of about 26,000 µg/g), with notable deposits in the walls of the brain's blood vessels and in immune cells.

The authors stress, though, that the findings are associative and don't establish that plastics cause disease. The particles they imaged were mostly nanoscale shards about 100–200 nm long, not long fibers. They measured plastics, not paint, adhesive or other polymer sources, and they didn't measure perfusion, intracranial pressure or cognition. So the study supports the first step, that plastics reach and accumulate in the brain, including in vessel walls. The clogging, and what it does to perfusion and drainage, is my model's interpretation.

Patient lying down, with visibly enlarged lymphatic vessels under the skin of the upper chest marked by an arrow.
Used with permission E17 — Visibly enlarged lymphatic collecting vessels (arrow) in a patient with ME/CFS. A normal lymphangion in the subcutaneous fascia is about 0.5 mm in diameter and can't be seen or felt; these measured around 0.5 cm, roughly ten times normal. Photograph taken in 2004 by Dr Raymond N Perrin DO, PhD, as part of his doctoral research. Used with permission.

Lymphatic vessels. Dr Raymond Perrin, an osteopath who has spent decades examining people with ME/CFS, describes visibly distended lymphatic vessels on the upper chest as one of the illness's physical signs. He attributes them to lymph backing up behind impaired drainage. If lymphatic vessels and nodes are distended, they are distended with something. The usual assumption is fluid or cell debris. I think it would take material that is thick, sticky or rigid to physically obstruct them for years, and fibers such as plastics and wood pulp are the kind of material I would look for. That isn't far-fetched: lymph nodes are known to trap insoluble particles the body can't break down. Tattoo pigment, including titanium dioxide nanoparticles, accumulates in the nearby nodes of tattooed people (Schreiver et al., 2017), and silicone from ruptured implants does the same (Zambacos et al., 2013). With plastics now found in almost every human tissue examined, including the brain, it is worth checking what these vessels and nodes contain.

When this sign was tested, though, in Hives et al., two examiners almost never agreed on whether it was present (κ = 0.03), and it did not improve diagnostic accuracy. The two most useful signs were thoracic spine changes and a tender celiac plexus. No one has analyzed what is inside these vessels or nodes in ME/CFS, so the material is my hypothesis. The test is straightforward: polymer analysis (pyrolysis GC-MS, or Raman/FTIR microscopy) of lymph node tissue from people with ME/CFS compared with controls.

Patients could see that something was wrong with their lymphatics years before research took an interest: engorged vessels like these are visible to the naked eye (E17). New sensing and imaging tools are welcome, but each measures one narrow thing. They can't tell us whether lymphatic vessels are compressed, engorged, malformed, clogged, stretched, distorted or leaking, or what they contain. Only tissue samples examined under the microscope can answer those questions. Sensors are good for deciding where to look; they can't replace looking. And as long as research focuses only on viruses and biological pathways, a physical blockage like this will never be found.

Systemic effects

Four fluorescence microscopy fields of a blood sample showing bright green-stained amyloid-fibrin microclots against a dark background.
Own observation E18 — Amyloid-fibrin microclots in my own blood, staged grade 3 of 4 (moderate) by the testing lab.

Stained microclots at a moderate grade, in a blood sample of mine.

Microclots. Amyloid-fibrin microclots have become a major focus in Long COVID and ME/CFS research (E18). My question is whether nanoparticles such as titanium dioxide could be nucleating them. No one has tested that directly, but each step has published support.

The first step is binding. Fibrinogen, the protein that forms clots, binds titanium dioxide strongly. Both fibrinogen and albumin adsorb irreversibly to titanium dioxide nanoparticles, even against electrostatic repulsion, probably changing shape or orientation as they do (Marucco et al., 2013). Fibrinogen adsorbed to titanium dioxide gradually loses part of its α-helical structure (Yongli et al., 1999), and how it unfolds depends on the particle's crystal phase, surface charge (Zhao et al., 2014) and even crystal facet (Struczyńska et al., 2023). A 2021 University of Akron honors research project found fibrinogen bound with similar affinity to titanium dioxide nanotubes and nanoparticles of different shapes, while albumin bound poorly (Miller, 2021).

The second step is nucleation. Amyloid forms slowly until a seed appears, then quickly. Titanium dioxide nanoparticles shorten that seeding step for β-amyloid (Wu et al., 2008), and stimulate the aggregation and fibrillation of α-synuclein (Slekiene et al., 2022), the proteins behind Alzheimer's and Parkinson's plaques. The proposed mechanism is that the particle surface concentrates the protein and helps it change shape. A single particle carrying many partly unfolded fibrinogen molecules is the same arrangement, applied to a different protein.

Titanium dioxide also acts on the cells involved in clotting. It raises calcium in human platelets and triggers their activation, aggregation and procoagulant activity (Bian et al., 2024), and it makes red blood cells expose phosphatidylserine, a surface that accelerates clotting (Bian et al., 2021).

What hasn't been shown: no study I know of has tested whether titanium dioxide nucleates fibrin amyloid, or looked for titanium inside microclots. The nucleation work is on β-amyloid and α-synuclein, not fibrin. And some binding studies find that tightly adsorbed fibrinogen can hide its platelet-binding sites, which would reduce clotting rather than drive it (Zhao et al., 2014; Struczyńska et al., 2023). So this is a hypothesis with plausible steps. The direct test, looking for particles at the center of microclots, is what's missing.

Own observation
The three markers also measured in panel B: succinic at 0 against a reference range of 2 to 12, 2-oxoglutaric at 0 against a range of less than or equal to 68, and citric at 112 against a range of 143 to 765.

Other results flagged low

Seventeen further rows from the same report, each flagged low: lactic 4 (16-93), glycolic 10 (43-151), 3-hydroxypropionic 0 (3-16), 2-hydroxyisovaleric 0 (2-5), 3-hydroxyisovaleric 0 (5-14), methylsuccinic 0 (1-4), glutaric 0 (1-3), 3-methylglutaconic 0 (1-10), malic 0 (1-10), 3-hydroxyadipic 1 (2-8), adipic 0 (1-5), pyruvic 0 (2-9), 5-oxoproline 5 (15-59), 2-hydroxyglutaric 1 (2-8), 4-hydroxyphenylacetic 2 (4-24), isocitric 18 (41-122) and VMA 0 (1-3), all in millimoles per mole of creatinine.

A My urine organic acid panel: markers also measured in panel B (top), then every other result flagged low

From published research
Stacked proton NMR spectra of rat urine between 2.45 and 4.1 ppm: a control trace and three traces at 4 days, 1 month and 2 months after titanium dioxide dosing, with the citrate, succinate and alpha-ketoglutarate peaks smaller in the treated traces.

B Rat urine NMR, titanium dioxide

E19 — A: my urine organic acid panel. B: urine NMR spectra from rats injected with titanium dioxide nanoparticles (0.5 g/kg), taken before exposure and at 4 days, 1 month and 2 months (Valentini et al., 2019, CC BY 4.0). Matching colors mark the same markers across time and in my panel.

In the rats, these organic acids shift over the two months after exposure rather than all at once, and by two months citrate, α-ketoglutarate and succinate are all below control: a progressive suppression. Citrate and succinate are below reference range in my urine, and α-ketoglutarate is at zero. Scroll panel A to see the rest of my low results, across most other Krebs-cycle and related acids.

Forearm skin showing a rectangular area where the surface layer has been pulled away, matching the shape of an adhesive bandage.
Own observation E20 — Where an ordinary adhesive bandage made contact, at age 32.

Skin removed by an ordinary bandage after 24 hours with no prior sensitivity.

Organic acids. My organic acid panel came back chronically low across the board: succinic, methylsuccinic, glutaric, malic, adipic, pyruvic, isocitric and citric all below reference range, several at zero (E19). That isn't only a general sign of the low metabolic activity already described in ME/CFS. It also resembles the urinary profile of rats exposed to titanium dioxide nanoparticles. Valentini et al. (2019) injected rats with titanium dioxide nanoparticles and analyzed their urine by NMR spectroscopy at four days, one month and two months. Citrate, α-ketoglutarate and succinate decreased — at the two highest doses by four days, and at the lowest dose, the 0.5 g/kg group shown in E19, progressively over one and two months — alongside rises in markers of oxidative stress and liver and kidney strain. Citrate and succinate are both low on my panel. Bu et al. (2010), dosing rats orally, found pyruvate reduced in serum, as it is on my panel, although in that study urinary citrate rose rather than fell, so the published picture isn't uniform. Those rats were dosed by injection or by mouth, not by inhalation, and an NMR urine profile in rats isn't the same test as a human organic acid panel, so this is a resemblance in direction, not a measured match. It is still the closest published metabolic data I've found to what my own testing showed.

Skin fragility. I took this photograph (E20) in 2023, the day after the skin biopsy for my electron microscopy (E14). The biopsy site had been covered with an ordinary adhesive bandage for 24 hours. When I took it off, the skin where the adhesive had touched came away with it. That isn't normal for me. I've worn hundreds of bandages over my life, often for much longer than a day, and never had a problem.

This is the photograph I show people who tell me this illness is a problem of neural sensitization. Nothing about a sensitized nervous system removes skin, and no psychological process does either. This is an acquired chemical vulnerability with a visible physical result, from a product I had used my whole life without incident.

Chart of daily self-reported pain level (z-score) against Air Quality Index, banded into Good, Moderate and Unhealthy for Sensitive Groups. Pain rises sharply once air quality enters the Unhealthy for Sensitive Groups band.
From published research E21 — Self-reported daily pain versus Air Quality Index in an independent cohort of women with ME/CFS (source: Jones, Haskin & Younger, University of Alabama at Birmingham).

In a separate published cohort of women with ME/CFS, self-reported pain tracked measured air quality, rising sharply once it entered the "unhealthy for sensitive groups" range.

Air quality and pain. This one isn't my own data. Jones, Haskin and Younger (2024) followed 58 women with ME/CFS who rated their pain and fatigue every day for an average of 62 days. The researchers then matched those ratings against local weather and air quality records collected after the study ended, so participants didn't know what was being tested. Of the 14 weather and air quality measures examined, seven were significantly related to pain or fatigue.

The strongest link was between air quality and pain: on days with a worse Air Quality Index, pain was higher (p < 0.001). Pain was also higher on days with more particulate matter and lower wind speed. Fatigue did not track the overall Air Quality Index, but it was higher on days with more particulates and lower barometric pressure. Not every pollutant pointed the same way: pain was higher on days with lower carbon monoxide, sulfur dioxide and ozone. The authors describe these effects as small, apart from the link between the Air Quality Index and pain. In the figure (E21), the pain curve rises in the "unhealthy for sensitive groups" range, but the uncertainty band around it is wide.

Other patients describe the same experiences in their own words (E22).

Patient testimonies

Many of these comments were replies to my own public posts about this model. They come from people with ME/CFS and Long COVID describing, in their own words, how their surroundings affect their illness. I’ve collected a selection here, with names, handles and photos removed.

A few themes come up again and again. Many describe feeling markedly better away from home, whether on vacation in warmer, drier places, or after moving somewhere cleaner, and getting worse again once they’re back. Several name mold avoidance, or cutting out fragrances and household chemicals, as the most useful change they made. Others trace their decline to a specific environment: a newly built home, a freshly painted room, or a building whose ventilation had never been cleaned. And a number say they only became sensitive to chemicals, smoke and scents after COVID.

E22 — A collection of testimonies from patients with ME/CFS and Long COVID detailing how massively environments have affected them. Names, handles and photos removed.

Patients with ME/CFS and Long COVID describing their symptoms changing with their surroundings, in their housing and their travel: baselines rising on vacation in warmer, drier places, and improvement with moving, time spent away from home, mold avoidance, ventilation, filtered air, forest and semi-rural stays; and worsening around mold, construction, synthetic chemicals, paint, fragrance, solvents and smoke, in new or recently built accommodation, and with unclean ductwork and indoor air.

Time and Exposure Order Influences

This illness isn't a fixed state. It progresses, and the effects depend on time. Damage accumulates, and each exposure lands on tissue already changed by the ones before it, so the same exposure can do more harm later in the illness than it would have at the start. In my case the decline wasn't gradual. It came in step-downs: sharp drops in function after particular exposures that never fully recovered. Some of those step-downs left visible marks. My nails changed three times over six years (E23): Terry's nails and clubbing in 2017, ridging and opaqueness in 2021, and cuticle loss in 2023. Each change appeared with a step-down and persisted afterward. Taken together, they record a disease that moved forward in stages rather than holding still.

Fingernails in 2017 showing Terry's nails and mild clubbing, at the start of the illness. Fingernails in 2021 showing ridging and opaqueness, after the matte white paint exposure. Close-up of a fingernail cuticle in 2023 showing cuticle loss, after the cold weather step-down.
Own observation E23 — 2017, 2021, 2023: Terry's nails and clubbing; ridging and opaqueness; cuticle loss (arrows). Each change appeared with a step-down and persisted afterward.

Three distinct nail changes, each coinciding with a documented step-down in function.

References

These are the published studies the model draws on. They are real and independent of me; the synthesis and the application to ME/CFS are my own.

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