JCI InsightBioengineeringPeer-reviewed journal article
Rapid cyclic stretching induces synthetic, proinflammatory phenotypes in cultured human intestinal smooth muscle, with the potential to alter signaling to adjacent bowel cells
Sharon M. WolfsoniD, Katherine BeigeliD, Sierra E. AndersoniD, Brooke DealiD, Molly WeineriD, Se‐Hwan LeeiD, Deanne M. TayloriD, Su‐Jin HeoiD, Robert O. HeuckerothiD, Sohaib Khalid HashmiiD
Abstract
Background and AimsBowel smooth muscle experiences mechanical stress constantly during normal function, and pathologic mechanical stressors in disease states. We tested the hypothesis that pathologic mechanical stress could alter transcription to induce smooth muscle phenotypic class switching. MethodsPrimary human intestinal smooth muscle cells (HISMCs), seeded on electrospun aligned poly-{varepsilon}-caprolactone nano-fibrous scaffolds, were subjected to pathologic, high frequency (1 Hz) uniaxial 3% cyclic stretch (loaded) or kept unloaded in culture for 6 hours. Total RNA sequencing, qRT-PCR, and quantitative immunohistochemistry defined loading-induced changes in gene expression. NicheNet predicted how differentially expressed genes might impact HISMCs and other bowel cells. ResultsLoading induced differential expression of 4537 genes in HISMCs. Loaded HISMCs had a less contractile phenotype, with increased expression of synthetic SMC genes, proinflammatory cytokines, and altered expression of axon guidance molecules, growth factors and morphogens. Many differentially expressed genes encode secreted ligands that could act cell-autonomously on smooth muscle and on other cells in the bowel wall. DiscussionHISMCs demonstrate remarkably rapid phenotypic plasticity in response to mechanical stress that may convert contractile HISMCs into proliferative, fibroblast-like cells or proinflammatory cells. These mechanical stress-induced changes in HISMC gene expression may be relevant for human bowel disease.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 10
- FWCI
- 4.50
- Field percentile
- top 4%
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