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Tissue-layer-resolved proteome landscape of Crohn’s disease strictures highlights potential drivers of fibrosis progression
Johannes Alfredsson, Carina Sihlbom Wallem, Maja Östling, Hanna de la Croix, Elinor Bexe-Lindskog, Mary Jo Wick
Johannes Alfredsson, Carina Sihlbom Wallem, Maja Östling, Hanna de la Croix, Elinor Bexe-Lindskog, Mary Jo Wick
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Research Article Cell biology Gastroenterology

Tissue-layer-resolved proteome landscape of Crohn’s disease strictures highlights potential drivers of fibrosis progression

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Abstract

The chronic inflammation of Crohn’s disease frequently leads to fibrosis and muscular hypertrophy of the intestinal wall. This often culminates in strictures, a serious condition lacking directed therapy. Severe pathological changes occur in the submucosa and muscularis propria intestinal wall layers of strictures, yet stricture-associated proteome changes in these layers is unexplored. We perform unbiased proteomics on submucosa and muscularis propria microdissected from transmural sections of strictured and nonstrictured ileum. Proteome changes in strictured submucosa reflected a transition from homeostasis to tissue remodeling, inflammation, and smooth muscle changes. Top submucosal features included reduced vascular components and lipid metabolism proteins accompanied by increased proteins with immune-, ECM-, or stress-related functions, including CTHRC1, TNC, IL-16, MZB1, and TXNDC5. In parallel, predominant changes in strictured muscularis propria included increased ECM (POSTN) and immune (mast cell CPA3) proteins alongside decreased proteins with lipid metabolic, mitochondrial, or key muscle functions. Finally, trends of differentially expressed proteins along nonstrictured submucosa suggest progressive profibrotic tissue remodeling and muscle expansion as proximity to strictures increases. The comprehensive proteome map presented here offers tissue-layer-resolved insight into the stricture microenvironment and potential drivers of fibrotic disease, providing a valuable resource to fuel biomarker and therapeutic target research.

Authors

Johannes Alfredsson, Carina Sihlbom Wallem, Maja Östling, Hanna de la Croix, Elinor Bexe-Lindskog, Mary Jo Wick

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Figure 8

Interlayer analysis of top-ranked DE proteins in the SM and MP layers reveals shared and layer-dominant features.

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Interlayer analysis of top-ranked DE proteins in the SM and MP layers re...
(A and B) DE proteins in the SM and MP layers were categorized as concordant, discordant, or layer-predominant DE (A). The scatter plot (B) illustrates the magnitude of change in SM versus MP for all 1,359 DE proteins, using average weighted estimates (WE, log2 scale) from the STRvCTRL and STRvNSTR comparisons as proxies for the relative change in each layer. For proteins not quantified in 1 layer, the average WE was set to zero. Dots are color coded according to A. (C and D) Further assessment focused on the 228 proteins in the union of the top 30 DE proteins of each layer and direction (“Top 30”). (C) Three proteins (MZB1, FABP1, FABP6) fall outside the displayed axis range in B. Note that Top 30 within each layer and DE direction denotes proteins ranked among the Top 30 in any of the 4 comparisons; as rankings differ in the 4 comparisons, the Top 30 contains more than 30 proteins (see SM, Figure 4D and Figure 5D; MP, Figure 6D and Figure 7D). The scatter plots show the magnitude of change in SM versus MP as in B but limited to the Top 30 proteins mapped to the concordant (C) or the layer-predominant/discordant category (D). Dots are color coded according to A. Symbols indicate in which layer they were Top 30 (squares, SM; diamonds, MP; circles, both layers). In C, concordantly expressed proteins within the Top 30 of both layers are labeled. In D, selected top proteins discussed in Figures 4–7 are labeled. In C and D, proteins discussed in the text are in bold. In D, ellipses refer to protein categories discussed in the text. (E) A summary of the protein categories showing shared concordant or layer-predominant DE.

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