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Alemtuzumab and T-cell network recovery

Explore treatment-driven peripheral immune recovery and CNS accumulation under explicitly defined continuous network configurations.

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MODEL IN MOTION 18 sec

How do the three declared immune-network configurations change Th1 and Th17?

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Group 1 — common colored continuous configuration

Declared continuous network context with formal model marking units and explicit pretreatment history.

0–2,520 day

Group 1 — common colored continuous configuration

Declared continuous network context with formal model marking units and explicit pretreatment history.

Readouts

TH1 · dimensionless
TH1 over the selected simulation window.
TH17 · dimensionless
TH17 over the selected simulation window.
Regulatory T-cell · dimensionless
Regulatory T-cell over the selected simulation window.
Cns effector regulatory proxy · dimensionless
Cns effector regulatory proxy over the selected simulation window.

Study purpose

  • How do the model's key biological readouts change under group 1 — common colored continuous configuration?

Assumptions

  • Continuous reconstruction with ordinary mass action x^m/m! and directly transcribed custom reaction rates; no stochastic distribution or fitted-patient replay.
  • State values are formal dimensionless model markings. Treatment is an abstract scaled marking, not mg, mol, concentration or receptor occupancy.
  • The colored configuration has self-Th17 passage kBBB*Th17^2/2 with net loss of one Th17 and entry of one CNS effector. Separate constitutive configurations add one to each pool at rate kBBB.
  • Both regulatory duplication transitions use peripheral Th1. Effector-antigen killing consumes both antigen and the effector; regulatory and treatment killing return their catalysts.
  • Raw day0 starts180days before treatment; full horizon2520days corresponds to clinical day−180..2340, including six months beyond the observed72month follow-up.
  • Two course-level marking jumps occur at raw days180/540. An additional what-if course occurs at1260; within-course daily administrations and infusion pharmacokinetics are not modeled.
  • The alternate forcing has a Gaussian input-rate envelope centered at raw1230days, width147days. Neither this center nor the integrated antigen maximum is asserted to match a clinical month30 peak.
  • CNS pools have no exit in the specified network. Their regularized ratio is an exploratory network proxy, not measured CNS damage or relapse probability.
  • The normalized immune denominator is positive in admitted contexts; a numerical zero extension does not define a new empty-system biological model.
  • No individual random effects, original clustering, calibration uncertainty, statistical likelihood or clinical optimization is reproduced.

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Simulation time
day
day
2520 → 168

Time between reported samples.

day
5 → 1

2 changes · Variation 1

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Biology

Explore treatment-driven peripheral immune recovery and CNS accumulation under explicitly defined continuous network configurations.

Explore treatment-driven peripheral immune recovery and CNS accumulation under explicitly defined continuous network configurations.

Model details

24 parameters · 9 states · 9 equations · 31 derived outputs

Classification & API access
Therapeutic
Alemtuzumab
Modality
Monoclonal antibody
Target
CD52
Disease / scope
Multiple sclerosis immune-network exploration
ParameterDefaultUnitDescription
AtzkillATZkill0.041/dayFixed coefficient of the canonical primary analysis, using formal dimensionless marking scales.
ConsuptionConsuption0.061/dayFixed coefficient of the canonical primary analysis, using formal dimensionless marking scales.
Pass bbbPass_BBB0.00011/dayFixed coefficient of the canonical primary analysis, using formal dimensionless marking scales.
Te dupTeDup0.99981/dayFixed coefficient of the canonical primary analysis, using formal dimensionless marking scales.
Te DUP2TeDup20.000241/dayFixed coefficient of the canonical primary analysis, using formal dimensionless marking scales.
Tek aTekA0.091/dayFixed coefficient of the canonical primary analysis, using formal dimensionless marking scales.
Tr dupTrDup0.471/dayFixed coefficient of the canonical primary analysis, using formal dimensionless marking scales.
Tr DUP2TrDup20.000151/dayFixed coefficient of the canonical primary analysis, using formal dimensionless marking scales.
Trk teTrkTe0.011/dayFixed coefficient of the canonical primary analysis, using formal dimensionless marking scales.
Ventry effector T-cellVentryTeff_10.821/dayFixed coefficient of the canonical primary analysis, using formal dimensionless marking scales.
Ventry effector T-cell 17VentryTeff_170.111/dayFixed coefficient of the canonical primary analysis, using formal dimensionless marking scales.
Ventry regulatory T-cellVentryTreg0.721/dayFixed coefficient of the canonical primary analysis, using formal dimensionless marking scales.
Atz scaleatz_scale10000000000000—Explicit fixed reconstruction input; see equation and event conventions.
Base amplitudebase_amplitude11/dayExplicit fixed reconstruction input; see equation and event conventions.
Base offsetbase_offset11/dayExplicit fixed reconstruction input; see equation and event conventions.
Base periodbase_period_day180dayExplicit fixed reconstruction input; see equation and event conventions.
Constitutive self modeconstitutive_self_mode0—Explicit fixed reconstruction input; see equation and event conventions.
Effector deatheffector_death11/dayExplicit fixed reconstruction input; see equation and event conventions.
Degradation ratekdeg0.0055555561/dayExplicit fixed reconstruction input; see equation and event conventions.
Pulse amplitudepulse_amplitude51/dayExplicit fixed reconstruction input; see equation and event conventions.
Pulse centerpulse_center_day1230dayExplicit fixed reconstruction input; see equation and event conventions.
Pulse modepulse_mode0—Explicit fixed reconstruction input; see equation and event conventions.
Pulse widthpulse_width_day147dayExplicit fixed reconstruction input; see equation and event conventions.
Regulatory deathregulatory_death11/dayExplicit fixed reconstruction input; see equation and event conventions.

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