Hypermobility Article 1: Hypermobile EDS and the Connective-Tissue Connection to ME/CFS — Why Flexible Tissue Feeds the Cascade

Hypermobility
hEDS
ME/CFS
Pathophysiology
Connective Tissue
A plain-language guide to hypermobile Ehlers-Danlos syndrome and how it overlaps with ME/CFS — why flexible tissue does not hold together, the five mechanistic pathways linking loose connective tissue to systemic illness, how mast cells may actively degrade collagen (acquired hypermobility), the TNXB genetics, the neurodivergence axis, and the difference between being hypermobile on its own and being hypermobile on top of ME/CFS.
Author

Yannick Loth

Published

August 3, 2026

Your joints bend a little further than they should — always have. You are “just flexible.” You could do the party tricks as a kid: palms flat on the floor, thumb to forearm, a knee that bent backwards enough to make people wince. Nobody told you that flexible tissue does not hold together.

Now, years later, the pieces do not hold. Your blood pools in your legs when you stand. Your heart races to compensate — the POTS you already read about in this series. Your skin stretches. Your gut empties slowly. And somewhere in that loose connective tissue, your mast cells — the immune sentinels that sit embedded in the collagen scaffold of every tissue — fire at trivial pressure, because the matrix that should keep them quiet is too soft to dampen the signal [Magadmi et al. (2019)](Wilson et al. 2026).

This article is the conceptual overview. What hypermobile Ehlers-Danlos syndrome actually is, why it has no identified genetic defect (unlike every other EDS subtype), the five mechanistic pathways linking it to ME/CFS, the mast-cell → collagen degradation story that means hypermobility can be acquired as well as congenital, the TNXB genetics, the neurodivergence axis, and the difference between being hypermobile on its own and being hypermobile on top of ME/CFS. The treatments — physiotherapy, bracing, supplements, emerging therapies, and the permanent energy-tax model — are covered in the companion treatment article, and the honest “what if the drugs don’t work” discussion in the companion article on treatment failure.


1 First, a plain warning

This is an explanation, not self-medication advice, and I am not a doctor. Hypermobility syndromes involve structural tissue weakness that can affect the spine, the blood vessels, and the internal organs. If you have progressive neurological symptoms, new-onset severe headaches, or loss of bowel or bladder control, that is a medical emergency — go to a hospital. Everything below about management is a conversation to have with a specialist.


2 The short version, if you only read one part

  • hEDS stands for hypermobile Ehlers-Danlos syndrome. Unlike other EDS subtypes (classical, vascular, kyphoscoliotic), which have identified genetic defects in specific collagen or collagen-processing genes, hEDS has no identified connective tissue defect despite extensive investigation (ME/CFS Science 2024).
  • About 15.5% of ME/CFS patients meet strict hEDS criteria, and up to 81% are hypermobility-positive on the broader Brighton criteria — and this subgroup is measurably sicker: worse quality of life, more autonomic symptoms, higher rates of POTS (33% vs. 20%) and formal EDS diagnosis (29% vs. 3%) (Eccles et al. 2021).
  • The overlap is not coincidence. There are five mechanistic pathways, plus two deeper biological threads: (1) mast cells can actively degrade collagen through tryptase and chymase, producing an acquired progressive hypermobility on top of any congenital laxity; (2) TNXB haploinsufficiency explains ~5–10% of hypermobility independently of mast cells (Imanaka et al. 2026).
  • There is a neurodivergence connection. Autistic individuals have 22.3% joint hypermobility; children with hEDS show 16% ADHD and 6% autism rates — the connective-tissue-neurodevelopmental link is real and under-appreciated [Baeza-Velasco et al. (2025)](Kindgren, Quiñones Perez, and Knez 2021).
  • The ODE models predict a permanent 10–20% energy tax on upright posture in hEDS — not from mitochondria or immune dysfunction, but from the physics of loose vessels and compensatory heart work — providing a quantitative explanation for why hEDS+ME/CFS patients tend toward greater severity (Loth 2026).
  • hEDS is not the cause of ME/CFS. It is a permissive substrate — a constitutional tissue trait that lowers the threshold for the cascade to run. Fixing the connective tissue itself is not possible with current medicine; treating the downstream amplifiers (POTS, MCAS) is where the clinical levers are.

3 What is hypermobile EDS, for real?

Connective tissue is the scaffolding of the body. Collagen, the most abundant protein in humans, forms the extracellular matrix — the structural mesh that holds organs in place, gives blood vessels their tone, anchors muscles to bone, and surrounds every mast cell and nerve ending with a calibrated physical environment.

In classical EDS, a specific collagen gene (COL5A1, COL5A2) is broken and the molecular defect is known. In vascular EDS, COL3A1 is broken, and the fragile arteries and hollow organs are understood. In hypermobile EDS — the most common subtype and the one that overlaps with ME/CFS — no gene, no protein, and no structural defect has been identified despite decades of searching (ME/CFS Science 2024).

This creates an uncomfortable situation. The diagnosis of hEDS is based entirely on clinical features: joint hypermobility measured by the Beighton score, skin hyperextensibility, chronic pain, and a family history. But 10–20% of the general population is joint hypermobile to some degree, and skin stretchiness, joint clicking, and chronic pain are individually common (A. J. Hakim and Grahame 2003). Whether hEDS is a distinct disease or the tail end of a normal distribution is a live controversy — and the diagnosis remains clinical, not molecular (Wirth 2026).

3.1 The 81% vs 15.5% gap — and what it means

This is the single most important number to understand about hypermobility in ME/CFS. When researchers use the broad Brighton criteria — which capture joint hypermobility by Beighton score plus related features — about 81% of ME/CFS patients are hypermobility-positive. When they use the strict 2017 hEDS diagnostic criteria — which require a specific combination of joint, skin, pain, and family-history features — that number drops to 15.5–18% (Eccles et al. 2021).

The gap is enormous: 81% v. 15.5%. It means most ME/CFS patients have some degree of connective-tissue laxity, but only a minority have the full clinical syndrome. The primary document interprets this as evidence that hypermobility is a permissive substrate, not a primary driver — a constitutional tissue trait that lowers the threshold for other amplifiers (MCAS, POTS, SFN) to take hold, but not itself sufficient to cause ME/CFS (Loth 2026). If hypermobility were the cause, the 81% figure would be harder to reconcile with the 15.5% strict hEDS figure. The gap is consistent with a gradient model: tissue laxity makes the system vulnerable, and the disease arises when enough other amplifiers stack on top.

3.2 A competing genetic mechanism: TNXB and tenascin-X

While hEDS has no identified primary gene, a small but important fraction of hypermobility has a known genetic cause that is not a collagen defect. The TNXB gene encodes tenascin-X, an extracellular matrix protein that regulates collagen fibril spacing and elastic fibre integrity. Biallelic TNXB mutations cause classical-like EDS, and heterozygous (haploinsufficient) carriers account for approximately 5–10% of clinical hypermobility — a competing genetic mechanism independent of mast cells and independent of the “no molecular defect” hEDS consensus (Imanaka et al. 2026).

This matters because it fragments the hypermobility phenotype: some patients have congenital collagen laxity (currently unidentified gene), some have tenascin-X deficiency, and — as the next section explains — some have acquired hypermobility driven by mast-cell enzymes actively degrading their connective tissue. The three mechanisms can coexist in one patient.


4 Acquired progressive hypermobility: mast cells degrade collagen

Here is the deep thread that runs through the entire primary document and that most clinical discussions miss: hypermobility is not always congenital. Mast cells can actively degrade collagen and extracellular matrix, producing an acquired progressive hypermobility that worsens over time on top of any baseline laxity (Loth 2026).

4.1 The enzyme chain

Mast cells store two serine proteases — tryptase and chymase — inside their granules. When mast cells degranulate, these enzymes are released into the surrounding tissue. Their normal job is tissue remodelling and defence, but in chronic mast cell activation, they become a collagen-destruction machine:

  • Tryptase activates pro-MMP-3 (stromelysin) and pro-MMP-13 (collagenase-3), enzymes that cleave collagen and proteoglycans (Magarinos et al. 2013). Tryptase also cleaves protease-activated receptor 2 (PAR2) on fibroblasts, triggering more MMP release.
  • Chymase directly cleaves pro-MMP-1 (collagenase-1), the primary enzyme that degrades fibrillar collagen type I — the main structural collagen of ligaments, tendons, and blood vessel walls (Saarinen et al. 1994).
  • The tryptase–chymase–MMP cascade degrades collagen and elastin in cardiac tissue, vessel walls, and joint ligaments — connective tissue everywhere mast cells reside (Janicki et al. 2006).

A separate, MMP-independent mechanism also operates: histaminylation, in which mast-cell histamine covalently modifies collagen fibrils through transglutaminase, altering their mechanical properties — making collagen softer and weaker without degrading it. This has been shown in vitro and may represent a distinct route to tissue laxity that is invisible to MMP assays (Zhu et al. 2026).

4.2 Congenital vs acquired hypermobility — a triage with treatment consequences

The primary document distinguishes congenital hypermobility (present from childhood, stable over time, TNXB or unknown genetic basis) from acquired progressive hypermobility (worsens in adulthood, correlates with MCAS flares, reversible if mast-cell activation is controlled). The distinction matters because the two respond differently to treatment (Loth 2026):

  • Congenital laxity is a structural trait — bracing, physiotherapy, and joint protection are the main levers. Mast-cell stabilisers may help the symptoms (pain, swelling) but will not tighten the collagen, because the collagen was never tight to start.
  • Acquired laxity is driven by ongoing enzymatic degradation — mast-cell stabilisers and MMP inhibitors (doxycycline at the sub-antimicrobial dose, 20 mg twice daily = 40 mg/day total, which selectively inhibits MMP-9) may partially reverse the tissue damage, because the degradation process is ongoing and blockable.

In practice, many patients have both — congenital baseline laxity plus an acquired degradation layer from chronic MCAS — and the art is in triaging which component is dominant.

4.3 The matrix-stiffness feedback loop

Mast cells anchor to extracellular matrix proteins (fibronectin, vitronectin) through integrin receptors and — critically — through CADM1, a cell-adhesion molecule that physically couples mast cells to sensory nerve endings. In hypermobile tissue, the ECM is softer, so mechanical pressure that would be damped in a normal matrix transmits to the mast cell surface with less attenuation (Magadmi et al. 2019). This is a bidirectional positive-feedback loop:

loose ECM → less mechanical damping → mast cells fire more easily
→ release tryptase/chymase → activate MMPs → degrade ECM further
→ even looser ECM → mast cells fire even more easily → ...

The primary document formalises this as a bistable model: the mast-cell–ECM system has two stable states — a “healthy” state with firm matrix and quiet mast cells, and a “degraded” state with soft matrix and hyper-reactive mast cells. Once the system crosses the tipping point (a severe MCAS flare, a viral infection that massively activates mast cells, a period of prolonged inactivity that weakens connective tissue), it may not spontaneously return to the healthy state. The model predicts that treatment must be sustained — intermittent antihistamines or occasional stabilisers may not be enough to flip the system back — and that once the collagen is structurally degraded past a certain point, even complete mast-cell control may not reverse the laxity (Loth 2026).


5 The hEDS–ME/CFS overlap, in numbers

The epidemiological evidence for hypermobility enrichment in ME/CFS is strong but the interpretation is contested:

In a UK registry of 815 ME/CFS patients: - 81% met broad Brighton criteria for hypermobility - 15.5% met strict 2017 hEDS diagnostic criteria - The hypermobility-positive subgroup had significantly worse quality of life, more autonomic symptoms, higher POTS rates (33% vs. 20%), and higher formal EDS diagnosis rates (29% vs. 3%) compared to non-hypermobile ME/CFS patients (Eccles et al. 2021)

In the hEDS-autonomic data: - Up to 70% of hEDS patients report dysautonomia symptoms - Up to 40% meet formal POTS criteria (Mathias et al. 2021) - Exercise intolerance is among the most commonly reported symptoms, and sedentary behaviour rises markedly after symptom onset (the article on treatment failure discusses this pattern) - Dysautonomic hEDS patients show measurable cardiac atrophy — smaller cardiac chambers and reduced left ventricular end-diastolic volume — consistent with chronic deconditioning from orthostatic intolerance (Ruiz Maya et al. 2021)

In the EDS-MCAS-POTS triad: - Approximately 31% of patients with both POTS and EDS also have MCAS, compared to 2% of those without EDS — an odds ratio of 32.5, one of the strongest comorbidity signals in the entire ME/CFS literature (Wang et al. 2021) - But a critical 2025 review found that “an evidence-based, common pathophysiologic mechanism between any of the two, much less all three conditions, has yet to be described” (Yao et al. 2025) — so the triad is real at the epidemiological level but the causal arrows are not drawn

A hard honesty check. The autonomic profile of hEDS — measured by heart rate variability, tilt-table testing, and baroreflex sensitivity — resembles fibromyalgia more closely than it resembles other EDS subtypes. If hEDS shared the same structural connective-tissue mechanism as classical or vascular EDS, you would expect similar autonomic phenotypes across EDS types. The fact that hEDS is the outlier — with an autonomic signature that looks more like a central-sensitisation disorder than a structural collagenopathy — is evidence that the mechanism may not be what the “loose tissue → stretched vessels → POTS” story implies (ME/CFS Science 2024).

The honest position: the clinical association between hypermobility and ME/CFS is real, but the mechanistic basis is uncertain. The connective-tissue story is plausible and internally consistent; it is also competing with simpler explanations (hypermobility and ME/CFS co-occur because both are common in the same demographic; hypermobility amplifies symptoms without a specific causal pathway). Neither side has settled the question.


6 Five pathways from loose connective tissue to systemic illness

The primary document identifies five mechanistic pathways by which connective tissue laxity could contribute to the ME/CFS picture, listed here in decreasing order of evidence strength.

6.1 Pathway 1: Vascular laxity → autonomic dysfunction (HIGH EVIDENCE)

This is the best-supported link and the one that directly explains the POTS overlap. Defective connective tissue in blood vessel walls has measurable consequences:

  • Increased arterial compliance. hEDS patients show significantly lower pulse wave velocity than controls — the arteries are too elastic. This impairs baroreceptor signalling: the stretch receptors in vessel walls cannot accurately detect blood pressure changes when the walls are too compliant, so the brain receives a degraded pressure signal (A. Hakim et al. 2017).
  • Excessive venous pooling. Abnormal connective tissue in veins allows excessive distension under normal hydrostatic pressures. Blood pools in the lower extremities on standing, reducing venous return and cardiac preload. The heart races to compensate (Mathias et al. 2021).
  • Cerebral hypoperfusion follows. The same chain — loose vessels → poor baroreflex → venous pooling → compensatory tachycardia → inadequate cerebral blood flow on standing — produces dizziness, brain fog, and orthostatic intolerance indistinguishable from POTS (Campen et al. 2020).

This pathway does not require any novel biology. It is a direct, structural consequence of the same connective-tissue abnormality that makes joints hypermobile, applied to blood vessels instead of ligaments.

6.2 Pathway 2: Craniocervical instability → brainstem dysfunction (MODERATE EVIDENCE)

Ligamentous laxity at the craniocervical junction (C0–C2, where the skull meets the spine) can cause structural instability with neurological consequences. The brainstem — which controls heart rate, blood pressure, respiratory drive, and alertness — passes through this junction. Intermittent compression or stretching could theoretically produce autonomic dysfunction, fatigue, and cognitive symptoms.

Bragée et al. studied 229 ME/CFS patients with upright MRI and found: 80% had craniocervical obstructions, 78% had indicators of intracranial hypertension, 75% had hypermobility indicators, 45% had Chiari malformation. The correlation between CCI severity and orthostatic intolerance was r=0.42 — modest but significant (Bragée et al. 2020).

The honest limit. The CCI–ME/CFS connection remains largely anecdotal. No controlled studies have established true CCI prevalence in ME/CFS, whether CCI causes symptoms or merely co-occurs, or what long-term surgical outcomes look like (Wirth 2026). Some patients report dramatic improvement after surgical stabilisation (one series reported 60–80% improvement rates), but these are uncontrolled individual cases, and surgery at the skull-spine junction carries serious risks including a 19% complication rate. Screening for CCI may be appropriate in ME/CFS patients with hypermobility and progressive neurological symptoms, but the evidence base does not support routine surgical referral.

6.3 Pathway 3: Extracellular matrix → mast cell dysregulation (LOW EVIDENCE)

Mast cells anchor to ECM proteins via integrins and CADM1. Bidirectional signalling means abnormal ECM composition could alter mast cell activation thresholds. The hypothesis, developed extensively in the primary document, is that a softer ECM (as in hypermobility) transmits mechanical force to mast cells with less damping — so a given pressure on the tissue is more likely to trigger degranulation (Magadmi et al. 2019).

But as noted above, a 2025 critical review found no established mechanism for this link. The epidemiological triad is real; the biochemistry of what connects ECM to mast cell firing thresholds is not. The primary document’s matrix-stiffness hypothesis (certainty: 0.45) attempts to fill this gap, but it remains a theoretical model awaiting direct testing (Loth 2026).

6.4 Pathway 4: Tissue fragility → purinergic signalling (SPECULATIVE)

The cell danger response hypothesis proposes that damaged cells release ATP into the extracellular space, activating P2X and P2Y purinergic receptors and triggering a protective hypometabolic state. hEDS patients experience more microtrauma from daily activities because their tissues are mechanically fragile. If this microtrauma is ongoing, the purinergic alarm might never reset, maintaining the hypometabolic state characteristic of ME/CFS.

The honest limit. No studies have measured extracellular ATP or purinergic receptor activation in hEDS patients. This pathway is mechanistically coherent but entirely unvalidated (Wirth 2026).

6.5 Pathway 5: Small fiber neuropathy as common downstream pathway (MODERATE EVIDENCE)

In one study, all 24 hEDS patients showed decreased intraepidermal nerve fibre density consistent with SFN, with 95% meeting criteria for neuropathic pain (Cazzato et al. 2016). ME/CFS patients show evidence of C-fibre denervation on quantitative sensory testing, with 31% meeting POTS criteria and 34% showing non-length-dependent SFN patterns (Azcue et al. 2023). SFN affects both sensory and autonomic small fibres — explaining the widespread autonomic dysfunction in both conditions. SFN may be the point where the EDS structural abnormality and the ME/CFS functional abnormality converge, though whether the aetiology is the same in both conditions remains unknown.


7 The neurodivergence connection

One of the more striking findings of the last decade is the statistical link between connective tissue laxity and neurodevelopmental conditions:

  • Autism + hypermobility. A 2025 meta-analysis of 20 studies found 22.3% joint hypermobility in autistic individuals (rising to 31% when only clinical assessments were considered). The direction is not established — hypermobility may predispose to autism-relevant sensory processing differences through altered interoceptive signalling (the brain receiving degraded proprioceptive input from lax joints), or the same developmental genes may affect both connective tissue and neural wiring (Baeza-Velasco et al. 2025).
  • ADHD and hEDS in children. In a study of children with hEDS/HSD, 16% met criteria for ADHD and 6% for autism — rates substantially above the general paediatric population (Kindgren, Quiñones Perez, and Knez 2021).
  • The mediating pathway appears to be dysautonomia. One study found that 51% of a neurodivergent-hypermobile cohort had joint hypermobility, and that hypermobility statistically mediated the relationship between neurodivergence and dysautonomia — suggesting the connective-tissue trait is the physical link between the neural wiring difference and the autonomic symptoms (Csecs et al. 2022).

This is not a causal claim. It does not mean hypermobility “causes” autism or ADHD, or that neurodivergence “causes” tissue laxity. The honest reading is that the same developmental pathways — possibly involving shared extracellular matrix proteins that guide both connective tissue formation and neural migration during embryogenesis — produce both phenotypes, and the correlation is a clue to a deeper shared biology that we do not yet understand.


8 hEDS by itself vs ME/CFS with hEDS

This is the core distinction of the series, and it applies to hypermobility more starkly than to any other co-occurring condition — because hEDS is a constitutional tissue trait present from birth (or, in the case of acquired hypermobility, accumulating over years), not an acquired disease.

hEDS on its own (no ME/CFS). Hypermobility is the dominant feature. Joints ache, ligaments strain, skin stretches, the gut is sluggish. Treatment is mechanical and symptomatic: physiotherapy, bracing, pain management, and — for the most severe — surgical stabilisation. There is no drug that fixes collagen. People with isolated hEDS can be highly functional with appropriate joint protection and pacing.

ME/CFS with hEDS (the situation this series is about). When hypermobility sits on top of ME/CFS, three things are different:

  • hEDS is a permissive substrate, not the core disease. Loose connective tissue lowers the threshold — vessels pool more, mast cells fire more easily, tissue microtrauma releases more ATP — but the energy failure and immune dysregulation of ME/CFS are not caused by the hypermobility. They run on it (Loth 2026).
  • Treating the joints does not fix the energy crisis. Physiotherapy and bracing may reduce pain and stabilise function, but they do not address PEM, immune dysfunction, or cerebral hypoperfusion. Aggressive physiotherapy that ignores PEM can make ME/CFS worse.
  • The treatment of downstream amplifiers becomes proportionally more important. Because you cannot fix the collagen, the clinical levers are the conditions the loose tissue enables: treating the POTS with volume expansion, treating the MCAS with antihistamines and stabilisers, protecting the joints with bracing and pacing. The clinical art is not in fixing the collagen — it is in managing the cascade that the loose collagen lets through.

9 The permanent energy tax

The ODE models in the primary document include an explicit parameter for the hEDS vascular effect: a venous compliance amplification factor κ, set at 1.3–2.0 (a heuristic model parameter chosen in the primary document, not a measured quantity). The model predicts that hEDS imposes a permanent 10–20% reduction in energy available for upright activity — not from mitochondria, not from immune dysfunction, not from deconditioning, but from the physics of loose vessels requiring greater compensatory sympathetic drive and higher cardiac work just to maintain standing blood pressure (Loth 2026).

This prediction has direct clinical implications: supine positioning and compression garments benefit hEDS patients disproportionately, because they mechanically reduce the gravitational pooling that the loose vessels cannot control. It also explains why hEDS+ME/CFS patients tend toward greater severity — the connective-tissue deficit is a permanent tax on an energy budget that is already depleted by the core disease.


10 The bottom line

Hypermobile EDS is real as a clinical entity — about 1 in 6 ME/CFS patients meet strict diagnostic criteria, and up to 81% are hypermobility-positive on broader screening — but it has no identified molecular defect, its diagnostic boundaries are contested, and its mechanistic link to ME/CFS is supported by physiological plausibility more than by direct evidence [Eccles et al. (2021)](ME/CFS Science 2024).

The deeper biology, developed extensively in the primary document, proposes that hypermobility is not merely a congenital trait but can be acquired through mast-cell–mediated collagen degradation (tryptase → MMP-3/-13, chymase → MMP-1, histaminylation), and that the matrix-stiffness feedback loop creates a bistable system that, once tipped, may not spontaneously recover [Loth (2026)](Zhu et al. 2026). A small fraction (~5–10%) of hypermobility is explained by TNXB haploinsufficiency, an independent genetic mechanism (Imanaka et al. 2026).

The honest read: hEDS is best understood as a permissive substrate that makes every other amplifier louder — and the permanent energy tax on upright posture means the substrate itself is never neutral, even when the downstream amplifiers are controlled. The treatment companion article covers the mechanical, pharmacological, and emerging-therapy options, and the failure companion article covers what happens when they don’t work.

Next in this mini-series: how to actually manage hypermobility on top of ME/CFS — physiotherapy, bracing, supplements, circadian collagen support, isometric resistance training, doxycycline for MMP-9, tVNS, HIF-1α inhibitors, and the honest “what if nothing helps” discussion [see the treatment article] and [the article on treatment failure].

For the comprehensive, fully-cited picture of how connective tissue disorders are weighed among the many candidate mechanisms in ME/CFS, see (Loth 2026).

References

Azcue, Néstor, Rocio Del Pino, Miriam Acera, Teresa Fernández-Valle, Mayte Ayo-Gonzalez, Juan Carlos Gómez-Esteban, Beatriz Ibañez, David Otaegui, María Sanchez-Rodriguez, and Iñigo Gabilondo. 2023. “Dysautonomia and Small Fiber Neuropathy in Post-COVID Condition and Chronic Fatigue Syndrome.” Journal of Translational Medicine 21 (1): 814. https://doi.org/10.1186/s12967-023-04678-3.
Baeza-Velasco, Carolina, Judith Vergne, Marianna Poli, Larissa Kalisch, and Raffaella Calati. 2025. “Autism in the Context of Joint Hypermobility, Hypermobility Spectrum Disorders, and Ehlers-Danlos Syndromes: A Systematic Review and Prevalence Meta-Analyses.” Autism 29 (8): 1939–58. https://doi.org/10.1177/13623613251328059.
Bragée, Björn, Anastasios Michos, Brandon Drum, Marie Faber, Robert Szulkin, and Anders Wåhlin. 2020. “Signs of Intracranial Hypertension, Hypermobility, and Craniocervical Obstructions in Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.” Frontiers in Neurology 11: 828. https://doi.org/10.3389/fneur.2020.00828.
Campen, C Linda M C van, Freek W A Verheugt, Peter C Rowe, and Frans C Visser. 2020. “Cerebral Blood Flow Is Reduced in ME/CFS During Head-up Tilt Testing Even in the Absence of Hypotension or Tachycardia: A Quantitative, Controlled Study Using Doppler Echography.” Clinical Neurophysiology Practice 5: 50–58. https://doi.org/10.1016/j.cnp.2020.01.003.
Cazzato, Daniele, Marco Castori, Raffaella Lombardi, Federica Caravello, Enrico Damato Bella, Antonella Petrucci, Paola Grammatico, Chiara Dordoni, Marina Colombi, and Giuseppe Lauria. 2016. “Small Fiber Neuropathy Is a Common Feature of Ehlers-Danlos Syndromes.” Neurology 87 (2): 155–59. https://doi.org/10.1212/WNL.0000000000002847.
Csecs, Jenny L L, Valeria Iodice, Charlotte L Rae, Anna Brooke, Rosie Simmons, Lisa Quadt, Ginny K Savage, et al. 2022. “Joint Hypermobility Links Neurodivergence to Dysautonomia and Pain.” Frontiers in Psychiatry 12: 786916. https://doi.org/10.3389/fpsyt.2021.786916.
Eccles, K., A. Hakim, B. Tinkle, I. De Wandele, F. Malfait, and J. Simmonds. 2021. “Hypermobility Spectrum Disorders in ME/CFS and Fibromyalgia: Prevalence and Clinical Characteristics.” Clinical Rheumatology 40 (7): 2651–60. https://doi.org/10.1007/s10067-021-05678-3.
Hakim, Alan J., and Rodney Grahame. 2003. “Joint Hypermobility.” Best Practice and Research Clinical Rheumatology 17 (6): 989–1004. https://doi.org/10.1016/j.berh.2003.08.001.
Hakim, Alan, Chris O’Callaghan, Inge De Wandele, Lauren Stiles, Alan Pocinki, and Peter Rowe. 2017. “Cardiovascular Autonomic Dysfunction in Ehlers-Danlos Syndrome—Hypermobile Type.” American Journal of Medical Genetics Part C: Seminars in Medical Genetics 175 (1): 168–74. https://doi.org/10.1002/ajmg.c.31543.
Imanaka, B. et al. 2026. “Splicing Alterations Associated with Multiple Homozygous TNXB Variants in a Patient with Suspected Classical-Like Ehlers-Danlos Syndrome.” Biochemical Genetics. https://doi.org/10.1007/s10528-026-11416-z.
Janicki, J. S., G. L. Brower, J. D. Gardner, M. F. Forman, J. A. Jr. Stewart, D. B. Murray, and A. L. Chancey. 2006. “Cardiac Mast Cell Regulation of Matrix Metalloproteinase-Related Ventricular Remodeling in Chronic Pressure or Volume Overload.” Cardiovascular Research 69 (3): 657–65. https://doi.org/10.1016/j.cardiores.2005.10.020.
Kindgren, Erik, Antonia Quiñones Perez, and Rajna Knez. 2021. “Prevalence of ADHD and Autism Spectrum Disorder in Children with Hypermobility Spectrum Disorders or Hypermobile Ehlers-Danlos Syndrome: A Retrospective Study.” Neuropsychiatric Disease and Treatment 17: 379–88. https://doi.org/10.2147/NDT.S290494.
Loth, Yannick. 2026. “Myalgic Encephalomyelitis / Chronic Fatigue Syndrome: A Comprehensive Medical Documentation.” https://yannickloth.github.io/health-me-cfs/.
Magadmi, Rania, Judit Meszaros, Zoheir A. Damanhouri, and Elizabeth P. Seward. 2019. CADM1-Dependent Adhesion Between Mast Cells and Sensory Neurons Enhances Mast Cell Inflammatory Responses.” Frontiers in Cellular Neuroscience 13: 262. https://doi.org/10.3389/fncel.2019.00262.
Magarinos, N. J., K. J. Bryant, A. J. Fosang, R. Adachi, R. L. Stevens, and H. P. McNeil. 2013. “Mast Cell-Restricted, Tetramer-Forming Tryptases Induce Aggrecanolysis in Articular Cartilage by Activating Matrix Metalloproteinase-3 and -13 Zymogens.” Journal of Immunology 191 (3): 1404–12. https://doi.org/10.4049/jimmunol.1300856.
Mathias, Christopher J., Andrew Owens, Valeria Iodice, and Alan Hakim. 2021. “Dysautonomia in the Ehlers-Danlos Syndromes and Hypermobility Spectrum Disorders—with a Focus on the Postural Tachycardia Syndrome.” American Journal of Medical Genetics Part C: Seminars in Medical Genetics 187 (4): 510–19. https://doi.org/10.1002/ajmg.c.31951.
ME/CFS Science. 2024. hEDS and Hypermobility Spectrum Disorder.” 2024. https://mecfsscience.org/heds-and-hypermobility-spectrum-disorder/.
Ruiz Maya, Teresa, Virginia Fettig, Lori Mehta, Bruce D. Gelb, and Amy R. Kontorovich. 2021. “Dysautonomia in Hypermobile Ehlers-Danlos Syndrome and Hypermobility Spectrum Disorders Is Associated with Exercise Intolerance and Cardiac Atrophy.” American Journal of Medical Genetics Part A 185 (12): 3754–61. https://doi.org/10.1002/ajmg.a.62446.
Saarinen, J., N. Kalkkinen, H. G. Welgus, and P. T. Kovanen. 1994. Activation of Human Interstitial Procollagenase Through Direct Cleavage of the Leu83-Thr84 Bond by Mast Cell Chymase.” Journal of Biological Chemistry 269 (27): 18134–40.
Wang, Elena, Tara Ganti, Eleni Vaou, Krithika Bhaktipati, Naga Bhaktipati, Murali Bhaktipati, and Anna Hohler. 2021. “The Relationship Between Mast Cell Activation Syndrome, Postural Tachycardia Syndrome, and Ehlers-Danlos Syndrome.” Allergy and Asthma Proceedings 42 (3): 243–46. https://doi.org/10.2500/aap.2021.42.210022.
Wilson, F. C., D. J. Zangerle, L. E. Rozen, J. J. Fliess, A. A. Darakjian, K. A. Sacco, C. Hamilton, et al. 2026. “Mast Cell Score Associates with Wide-Spread Mast Cell Symptoms and Comorbidities in Patients with hEDS and HSD.” medRxiv [Preprint]. https://doi.org/10.64898/2026.05.31.26354552.
Wirth, Klaus J. 2026. “Connective Tissue Disorders and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).” Preprints 202605: 0876. https://doi.org/10.20944/preprints202605.0876.
Yao, Lily, Kritika Subramaniam, Kavitha M. Raja, et al. 2025. “Association of Postural Orthostatic Tachycardia Syndrome, Hypermobility Spectrum Disorders, and Mast Cell Activation Syndrome in Young Patients; Prevalence, Overlap and Response to Therapy Depends on the Definition.” Frontiers in Neurology 16: 1513199. https://doi.org/10.3389/fneur.2025.1513199.
Zhu, J., D. Sun, G. Zeng, K. Wu, X. Yang, X. Zhu, D. Aierken, et al. 2026. “Histaminylation Alters Collagen Matrix Mechanics and Attenuates Cardiac Fibrosis Post-Myocardial Infarction via Mechanotransduction Signaling Axis.” Signal Transduction and Targeted Therapy 11 (1): 229. https://doi.org/10.1038/s41392-026-02721-5.