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EMF Modulome

Systematic mapping of electromagnetic susceptibility across the human body

Calcium · redox · hormone production

One receiving state, several routes to hormone production

Calcium signalling, redox reserve and cellular maintenance meet at cholesterol supply and StAR-mediated mitochondrial transport. BERM connects field experiments and component interventions through these measured biological stages. Local hormone production then joins the existing hormone-availability and tissue-response pathway.

The direct CaMKI–NUR77–StAR branch and the RORα–BMAL1 clock branch converge on steroidogenesis while retaining their own evidence.

Qin et al. (2018)iMartin et al. (2008)iGao et al. (2018)i
Explore the shared mechanism and its studies

THE HUMAN BODY AS AN ELECTROMAGNETIC SYSTEM

Every cell maintains voltage, every mitochondrion sustains ΔΨm, every barrier guards a gradient, every gland secretes via Ca²⁺-dependent exocytosis, every heartbeat is paced by VGCCs. The EMF Modulome maps this: 12 layers, 12 target organs, 4 independent routes.

What is the EMF Modulome?

The EMF Modulome is BERM’s systematic mapping of electromagnetic susceptibility across the human body, analogous to how the genome maps genetic information and the proteome maps protein expression.

03Twelve Layers

From molecular spin physics to population patterns — each imported L3 response is named separately from χ_geo

EMF Modulome: Twelve Layers of Biological Susceptibility

The modulome maps electromagnetic susceptibility from molecular spin physics to population-level patterns. Each layer moderates the open L2 biological application of the L1-derived χ coefficient; it does not alter χ's geometric derivation. Twelve layers, twelve target organs, four candidate routes to fertility decline.

12Population & EnvironmentElectrification, urbanization, dairy consu…11Individual VariationMeasured exposure-by-genotype interactions…10Circadian TimingLight spectrum, CRY photocycle, melatonin9Endocrine Axes (HPG, HPA, HPT)Pituitary T-type channels → all hormone se…8Autonomic Nervous System (System-Wide Modulator)HRV, vagal tone, sympathetic/parasympathet…7Organ (Composite χ_organ Profile)Combined cell types + vascularization + ba…6Cell Type (χ_tissue Expression Profile)Cell-specific channel expression, plus pol…5Redox Defense (Buffer Capacity)Repair capacity measured separately from d…4Membrane & Biological BarriersMembrane composition, protein complexes an…3Mitochondrial (ΔΨm Ca²⁺→ROS Converter)ΔΨm ≈ −180 mV (>2× plasma membrane), read …2Ion Channel (Gating Dynamics)Vm vs channel threshold; store load and re…1Molecular (Spin & Chromophore)Flavin redox state, binding occupancy and …

Click a layer to see details

Epistemic note: Each layer's evidence is marked independently. The modulome as a unified framework is a BERM-specific synthesis [C] — the individual components carry their own evidence levels.

04The Receiver as a Measured State

The modulome names which measurable cell state sets the strength, the direction and the time course of a field response. Three quantities are kept apart because a single effect size cannot tell them apart: the receptor state s, which decides what the next exposure transduces; the repair capacity A, which processes the load that is produced; and the damage load D, which is what remains at the moment of measurement.

Separating them makes the history effect explainable. A small additional response can mean strengthened repair, a weakened receptor, or a baseline that has already moved. It also sharpens the replication question: instead of a publication year, what a second laboratory has to match is the declared cell history — passage number, differentiation, culture conditions and prior exposures.

Readiness, repair and damage move apart

One exposure schedule, three quantities. The receptor state s gates what the next exposure transduces, the repair capacity A processes the load, and the damage load D is what remains at the moment of measurement. The probe response is what a challenge experiment actually reads, and it falls for more than one reason.

ExposureRecovery0.000.250.500.751.00Interval 0Interval 28
Receptor state sRepair capacity ADamage load DProbe response

Four cells, two of them indistinguishable by the probe alone

CellsADProbe response
Baseline1.0000.5000.0000.495
Repair strengthened1.0000.9000.0000.411
Receptor weakened0.8300.5000.0000.411
Baseline already moved1.0000.5000.6000.495
The middle two rows return the same probe response through different routes. Absolute baseline levels, recovery curves and challenge tolerance at a matched baseline separate them; the response difference alone does not. Curve shapes come from the registered kinetics (modulome.state.illustrative-shape-v1).

05Field Sensitivity in Transferable Membrane Machinery

Membrane vesicles prepared from myoblasts answered a 1.5 mT pulsed field with a calcium signal, while vesicles from TRPC1-silenced cells did not. Vesicles from normal cells also partly restored field-associated respiratory and growth responses in TRPC1-silenced recipient cells. Producing the acute local response did not require an intact source cell, so the receptor coordinate is not a channel count: it is the membrane itself, its protein complexes and their location. Vesicles also give a way to localise the mechanism, because the receiver can be studied before any hormonal or behavioural response. That design used prepared vesicles; an equivalent natural transfer inside tissue is a separate hypothesis.

06Calcium as a Circulation Between Compartments

A 50 Hz field at 1 mT reduced inward and transient outward membrane currents in hippocampal neurons, and interfering with release from the ER store or with reuptake into it prevented those changes. The layer is therefore written as membrane channels ↔ cytosolic Ca²⁺ ↔ ER store ↔ mitochondria, and the model predicts the first calcium response, the change in the store and the later current change as three separate quantities. Measurable inputs are the resting potential, the ER calcium load, the release and recovery rates and the mitochondrial response.

The calcium cycle, and what each intervention removes

Channels, cytosol, store and mitochondria form one circulation. The model predicts three things separately: the first calcium response, the change in the store, and the later change in membrane currents. Blocking release from the store or reuptake into it removes the third while leaving the first.

Membrane channelsCytosolic Ca²⁺ER storeMitochondriaSERCA reuptakeRyR releaseMCU uptake

Cytosolic Ca²⁺ under the same exposure

0.00.51.00 seconds28
IntactRelease blockedReuptake blockedMitochondrial uptake blocked

The three predictions, per arm

ArmFirst responseStore changeStore cyclingLate current change
Intact1.029-0.5431.398-0.769
Release blocked0.8300.3000.0000.000
Reuptake blocked1.236-0.9530.0000.000
Mitochondrial uptake blocked1.273-0.5121.675-0.921

Same channel expression, different store load

ER loadFirst responseLate current change
1.41.178-0.758
1.01.029-0.769
0.30.788-0.583
A change in membrane current is therefore readable as a consequence of intracellular regulation, not only as a direct action on the channel protein. The same channel expression level gives a different response in a different cell state.

07Flavin State and the Order of the Light

CRY2 amount, the RFK/FAD system, field direction and light history all changed the pulsed-field response in muscle cells. In purified human CRY1, a conformational change accompanied the move from the neutral radical to the fully reduced flavin, and the process involved the sequential absorption of two photons. The usable extension is that the same total light dose can leave a different molecular state when the order of wavelengths and the delay between them change, so the inputs become the CRY subtype, isoform and compartment, the flavin binding occupancy and redox state, and the light spectrum, intensity and temporal order. The photochemical change is observed; its magnetic modulation is the next separate test. Subtype differences matter as well, which is why no single CRY sensitivity coefficient is used for every protein.

Same total dose, different order and delay

The transition to the fully reduced flavin needs two photons in sequence, and the intermediate decays while the light is away. Both curves below deliver exactly the same total photon dose. Only the order of the wavelengths and the delay between them differ.

0.000.020.030.050.0602468Delay between the two episodes (s)Fraction reaching the fully reduced stateTotal dose held constant: 3.0
Blue first, then greenGreen first, then blueRegistered subtypes: human:CRY1, human:CRY2, erithacus_rubecula:CRY1
Because the second step acts only on what the first step produced, a light history is an ordered input, not a summed one. Parameters are registered per cryptochrome, so a robin CRY1 parameterisation is never applied to a human protein.

08Position and Direction as a Functional Dimension

A screen of ion-transport genes located field-directed migration to the KCNJ15/Kir4.2 channel acting together with polyamines, using a 200 mV/mm direct field. Silencing KCNJ15 removed orientation while basic motility was retained, and interfering with polyamine level or binding changed the response; PI3Kγ and PTEN interventions likewise changed electrically guided movement in wound healing. This gives the modulome an endpoint that no damage measure reaches: a cell can stay alive and motile while processing directional information incorrectly. Polarity, the spatial PIP₃ distribution and directed movement enter layers 2, 4 and 6. What these experiments establish is a capability at the stated local field magnitudes; which of BERM's own exposures actually perturb the same machinery is a separate calculation or measurement.

Alive, motile, misdirected

Direction and speed are separate outputs. Silencing the sensing channel removes orientation in the field while leaving migration speed untouched, and the polarity arm changes direction without killing the cell. A damage measure never reaches this endpoint.

at 200 mV/mmIntact0.670.90KCNJ15 silenced0.000.90Polyamines depleted0.000.90PI3Kγ lost0.000.90PTEN lost0.000.90
Directedness in the fieldMigration speed
The magnitudes here are the local direct-current fields used in the source experiments. Which of BERM's own exposures reach a field that perturbs the same machinery is a separate calculation, and the model keeps the field magnitude explicit so that question stays visible.

09Cell-to-Cell Signalling and Immune State

Culture medium from radiofrequency-exposed cells carried a protective effect to unexposed recipient cells. That completes the vesicle result from the other side: both the receiver machinery and the later biological message can move between cells. A brief pulsed exposure also changed macrophage function through a TRPC1–STING–NF-κB route, with phagocytosis of co-cultured cancer cells as the endpoint and TRPC1 silencing or blocking removing the responses. The modulome therefore carries a local tissue environment — cell density, secreted mediators, recipient-cell state and immune-cell function — which is why an isolated cell and the same cell type in tissue can respond differently. In this line of work the responses were often functionally useful, so a rise in an inflammatory or calcium signal is always reported together with the function it changes.

10A Response Window That Depends on the State

The response-window test connects to all of this through the frequency selectivity of the receiver. The natural continuation is R²_j = ∫ W(f; s_j, B₀) S_d,j(f) df, where S_d,j is the spectrum of a defined biological driver and s_j is the cell state measured before the experiment. The same window law applies to every technology, and a technology name is not a biological tuning coefficient: the model only accepts coefficients keyed on measured state quantities. The earlier locked window remains its own comparison candidate. The state-dependent window is a new version to be tested separately, its parameters have to come from independent measurements, and the present calculation is not yet a biologically validated ordering prediction for experiments.

A response window that moves with the measured state

The locked window has a fixed centre and width, so it returns the same response power whatever the cell is doing. The candidate window takes its centre and width from measured state coordinates, so the same driver spectrum produces a different response in a loaded and a depleted cell. Both are evaluated against the same biological driver.

0.00.51.01020304050Frequency (Hz)Window weight
Locked comparison windowLoaded storeReference stateDepleted storeBiological driver spectrum

Response power against the same driver

WindowCentre (Hz)Width σ (Hz)vs locked
Locked comparison window25.202.004.4521.000
Loaded store27.011.884.4831.007
Reference state25.202.004.4521.000
Depleted store22.482.123.6700.824
The same window law applies to every technology: the coefficients may only be keyed on measured cell-state quantities, and the model refuses a coefficient named after a device, a network or a country. The locked window stays available unchanged as its own comparison candidate; the state-dependent version is a new one whose parameters have to come from independent measurements before it can order any experiment.

11Feedback Loops Written Out

With x a barrier disturbance and y a hormonal disturbance, a simple local model is ẋ = au + by − r_x x and ẏ = cu + dx − r_y y, where b and d are the mutual gains and r_x and r_y the recovery rates. With positive recovery rates the equilibrium of this linear model is stable when bd < r_x r_y. That gives BERM a precise new target: does chronic exposure move the ratio of gain to recovery toward instability? Near the boundary recovery slows, and the slowdown can be looked for in existing time series before any large functional change. Positive feedback on its own does not settle irreversibility.

Gain against recovery, and the slowing that precedes the crossing

With x a barrier disturbance and y a hormonal disturbance, the loop is stable exactly while the round-trip gain stays below the product of the two recovery rates. Along a chronic-exposure axis that raises the gains and lowers the recovery rates, the two curves cross. Before they do, recovery slows sharply.

ẋ = a·u + b·y − r_x·x ẏ = c·u + d·x − r_y·y stable while b·d < r_x·r_y

StableUnstable00.41Slowest recovery time30Chronic-exposure axis
Mutual gain b·dRecovery product r_x·r_ySlowest recovery time
This gives a specific new target: does chronic exposure move the ratio of gain to recovery toward the boundary? Near the boundary the slowest recovery time diverges, so a slowdown appears before any large functional change and can be looked for in existing time series. Positive feedback alone does not settle irreversibility. A stable linear loop with positive mutual gain returns to baseline after the drive is removed. Irreversibility requires a separately named nonlinearity, threshold crossing, or a state variable that cannot be restored.

12Mechanism Cards: One Structure

The twelve-layer navigation stays as it is. What is added is the same structure on every mechanism card, so the exposure, the receiver, the baseline state, the proximal response, the propagation, the memory, the functional consequence and the bounding intervention are recorded in the same places every time.

Every mechanism card answers the same eight questions, so two mechanisms can be compared without rereading their prose. The eighth field is the one that makes a card more than a summary: a card that states no intervention result cannot bound its own mechanism.

Exposure

Local E/B, waveform, background field, temperature, light where relevant

Pulsed magnetic field, 1.5 mT, brief exposure of a cell-free vesicle preparation at controlled temperature.
Receptor

Protein, isoform, complex, compartment

TRPC1 in the vesicle membrane, together with the lipid environment and complex partners that travel with it.
Baseline state

The biological state measured before exposure

Donor myoblasts with normal TRPC1 expression versus donors in which TRPC1 was silenced; recipient cells silenced for TRPC1.
Proximal response

The first observable change and its latency

A calcium signal in vesicles from normal cells; no corresponding response in vesicles from TRPC1-silenced cells.
Propagation

Intracellular route, medium-borne message, or tissue interaction

Vesicles applied to recipient cells partly restored field-associated respiratory and growth responses.
Memory

Persistence and recovery

Restoration was measured over the recipient culture interval; persistence beyond it was not part of the design.
Functional consequence

Protection, disturbance or altered capability at a named endpoint

Recovery of respiratory and proliferative capacity in cells that had lost the channel.
Mechanism bounding

What a deletion, restoration or other intervention changed

TRPC1 silencing in the donor removed the response; supplying donor vesicles restored it. The acute local response did not require an intact source cell. Natural transfer inside tissue is a separate hypothesis.
Sources:Kurth et al. (2020)iModel module: berm.modulome.membrane

13Four Independent Routes

Gonadal (Routes A + D)

Mechanism

EMF → Cav3/Cav1 in testes/ovaries → Ca²⁺ → sperm damage + testosterone decline

Blocked by

T-type blocker (ethosuximide), L-type blocker (nifedipine)

Organ links

testes

Circadian (Route B)

Mechanism

EMF → CRY in retina → circadian disruption → melatonin ↓ → HPG ↓

Blocked by

Blue-light filter, melatonin supplementation, darkness

Organ links

eye

Pituitary (NEW)

NEW

Mechanism

EMF → Cav3 in gonadotroph → FSH/LH pulse disruption (OUTSIDE BBB)

Blocked by

T-type blocker (systemic)

Organ links

pituitary

Autonomic (NEW)

NEW

Mechanism

EMF → SA node Cav3 → HRV ↓ → sympathetic dominance → HPA → cortisol → HPG ↓

Blocked by

Vagal stimulation, HRV biofeedback

Organ links

heart

14Twelve Target Organs

Eye

M|C

CRY1 + CRY2 + dual-band candidate convergence. Six BERM tissue-response criteria proposed; L2 operator conditional and calibration open.

Cav3 subtype

CRY1/CRY2 (not Cav3)

View organ profile

Pituitary

M|C

Outside BBB. Cav3 in ALL hormone cells. EMF hub.

Cav3 subtype

Cav3 (T-type)

View organ profile

Testes

M|C

Cav3 Leydig → testosterone. BTB = barrier multiplier.

Cav3 subtype

Cav3 (Leydig) + CatSper (sperm)

View organ profile

Pancreas

M|C

Imported L3 glucose-response candidate χ_beta. β-cell Cav1+Cav3 → insulin.

Cav3 subtype

Cav1 (L-type) + Cav3 (T-type)

View organ profile

Brain

M|C

Cav3.2 hippocampus, CACNA1C 5 disorders, 7 developmental channels.

Cav3 subtype

Cav3.2 (highest T-type density in brain)

View organ profile

Heart

M

SA node Cav3 pacemaking. HRV = early EMF biomarker.

Cav3 subtype

Cav3 (SA pacemaking) + Cav1.2 (contraction)

View organ profile

Thyroid

M|C

Anterior neck = direct phone exposure. HPT axis disruption.

Cav3 subtype

Cav3 (thyrotroph) → TSH

View organ profile

Adrenal

M|C

Cav3.2 glomerulosa → aldosterone → hypertension.

Cav3 subtype

Cav3.2

View organ profile

Inner Ear

M|C

Cav1.3 in IHC synapses. IL-6→Cav1.3↑. Bluetooth/earphone EMF.

Cav3 subtype

Cav1.3 (L-type)

View organ profile

Spinal Cord (DRG)

M|C

Cav3.2 in nociceptors. Primary pain channel. Sex-differential expression.

Cav3 subtype

Cav3.2 (T-type)

View organ profile

Hypothalamus (ARC)

E

ARC glia Ca²⁺ → AgRP/NPY ↑ → appetite. Direct Ca²⁺→feeding link (eLife 2016).

Cav3 subtype

VGCC (glia + neurons)

View organ profile

Brown Adipose Tissue

E

CaMKII/CREB → UCP1 ↓ + SERCA2b/RyR2 Ca²⁺ cycling ↓. Two thermogenic pathways disrupted.

Cav3 subtype

VGCC → CaMKII

View organ profile

15Candidate χ_pop Profiles

χ_pop is an imported L3 population-response candidate built from genetic, dietary and technology-timing variables. It is distinct from χ_geo; its weights, exposure mapping and fertility endpoint require the open L2 bridge and independent calibration against the 54-country data.

Explore evolution & population data

16Testable Predictions

The Modulome generates specific, falsifiable predictions. Seven representative MOD-level predictions:

  • MOD-001: T-type Ca²⁺ channel blockers (ethosuximide) will attenuate RF-EMF effects on testosterone in Leydig cells.
  • MOD-002: Populations with higher dairy consumption (B2 source) will show slower fertility decline rates.
  • MOD-003: HRV reduction will precede measurable hormonal changes in chronic EMF exposure.
  • MOD-004: Blue-eyed individuals (higher CRY sensitivity) will show stronger circadian disruption from evening screen use.
  • MOD-005: Pituitary gonadotroph LH pulse frequency will be directly modulable by specific EMF frequencies.
  • MOD-006: Mitochondrial age (measured by ΔΨm) will correlate with EMF susceptibility within the same cell type.
  • MOD-007: EMF-induced sperm DNA methylation changes are detectable in occupationally exposed men and include VGCC-related gene loci (CACNA1C, CACNA1G). Preprint support: Research Square 2025 (radar-exposed men).
  • MOD-008: Vesicles prepared from cells with an intact receptor complex restore a field-associated calcium response in channel-silenced recipient cells, while vesicles from silenced donors do not.
  • MOD-009: The late change in membrane currents after a 50 Hz exposure disappears when either ER release or ER reuptake is blocked, while the first calcium response survives both interventions.
  • MOD-010: At matched channel expression, cells differing only in ER calcium load show different first calcium responses to the same exposure.
  • MOD-011: A reduced response after pre-exposure is attributable to repair capacity when absolute baseline damage and recovery curves are measured; matched-baseline challenge tolerance separates it from receptor desensitisation.
  • MOD-012: Two light protocols with identical total photon dose but reversed wavelength order leave different flavin redox states, and the difference shrinks as the inter-episode delay grows beyond the intermediate lifetime.
  • MOD-013: An exposure that removes field-directed migration leaves migration speed unchanged, so directional error and motility dissociate in the same cells.
  • MOD-014: Along a chronic-exposure series, recovery time after a standard perturbation lengthens before any large change in the functional endpoint, and the lengthening tracks the gain-to-recovery ratio.
Full predictions register

See also