Molecular profiling of the intestinal mucosa and immune cells of the colon by multi-parametric histological techniques

Sci Rep. 2021 May 28;11(1):11309. doi: 10.1038/s41598-021-90761-y.

Abstract

The impact of the post-mortem interval (PMI) on the optical molecular characteristics of the colonic mucosa and the gut-associated lymphoid tissue (GALT) were examined by multi-parametric measurements techniques. Inflammatory cells were identified by immunohistochemical staining. Molecular parameters were estimated using the Raman spectroscopy (RS) and Fourier Transform Infrared (FTIR) spectroscopic imaging. The 3D refractive index (3D-RI) distributions of samples were determined using the digital holographic tomography. The distribution of immune cells between post-mortem (PM) and normal controls did show significant differences for CD4 (P = 0.0016) or CD8 (P < 0.0001), whose expression level was decreased in PM cases. No association was found between individual PMI values and inflammatory cell distribution. However, there was a tendency for a negative correlation between CD4+ cells and PMI (r = - 0.542, P = 0.032). The alterations ongoing in post-mortem tissue may suggest that PMI has a suppressive effect on the effector properties of the cell-mediated immunity. Moreover, it was confirmed that spectroscopic and digital holotomographic histology are also a useful technique for characterization of the differences in inflammation of varying intensity and in GALT imaging in a solid tissue. Anatomical location of immune cells and methods of tissue fixation determine the molecular and optical parameters of the examined cases.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antigens, CD / metabolism
  • Histological Techniques*
  • Humans
  • Intestinal Mucosa / diagnostic imaging
  • Intestinal Mucosa / metabolism
  • Intestinal Mucosa / pathology*
  • Lymphoid Tissue / diagnostic imaging
  • Lymphoid Tissue / metabolism
  • Lymphoid Tissue / pathology*
  • Postmortem Changes*
  • Spectroscopy, Fourier Transform Infrared
  • Spectrum Analysis, Raman

Substances

  • Antigens, CD