The application discloses a
diagnostic marker detection
system of a star-shaped glial
cell IL-33 knockout EAE model, relates to the technical field of
in vitro diagnosis, and comprises the following steps: constructing direction consistency constraint, four-domain prior weight and
anchor point consistency scoring; selecting a minimum panel in four domains of
inflammation chemotaxis,
T cell subgroups,
myelin axons and
blood brain barrier, and generating Th17 / Th1 and MMP9 / closure
protein ratio and
chemotaxis combination; implementing standardized collection, platform alignment and bridge calibration, establishing intra-batch / between-batch
quality control and time window limitation; performing learning with monotone constraint and two-stage calibration, and reserving animal-to-human
population domain adaptation; and outputting star source index, double-threshold value stratification, longitudinal monitoring and interpretable report, so that cross-platform and cross-batch comparability, direction order preservation,
traceability and clinical bridgeability are realized, and robust discrimination and reproducibility are improved.