Scientific Reports (Sep 2023)

Computational immunohistochemical mapping adds immune context to histological phenotypes in mouse models of colitis

  • Soma Kobayashi,
  • Christopher Sullivan,
  • Agnieszka B. Bialkowska,
  • Joel H. Saltz,
  • Vincent W. Yang

DOI
https://doi.org/10.1038/s41598-023-41574-8
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 17

Abstract

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Abstract Inflammatory bowel disease (IBD) is characterized by chronic, dysregulated inflammation in the gastrointestinal tract. The heterogeneity of IBD is reflected through two major subtypes, Crohn’s Disease (CD) and Ulcerative Colitis (UC). CD and UC differ across symptomatic presentation, histology, immune responses, and treatment. While colitis mouse models have been influential in deciphering IBD pathogenesis, no single model captures the full heterogeneity of clinical disease. The translational capacity of mouse models may be augmented by shifting to multi-mouse model studies that aggregate analysis across various well-controlled phenotypes. Here, we evaluate the value of histology in multi-mouse model characterizations by building upon a previous pipeline that detects histological disease classes in hematoxylin and eosin (H&E)-stained murine colons. Specifically, we map immune marker positivity across serially-sectioned slides to H&E histological classes across the dextran sodium sulfate (DSS) chemical induction model and the intestinal epithelium-specific, inducible Villin-CreER T2 ;Klf5 fl/fl (Klf5 ΔIND ) genetic model. In this study, we construct the beginning frameworks to define H&E-patch-based immunophenotypes based on IHC-H&E mappings.