4.8 Article

The use of nanovibration to discover specific and potent bioactive metabolites that stimulate osteogenic differentiation in mesenchymal stem cells

Journal

SCIENCE ADVANCES
Volume 7, Issue 9, Pages -

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.abb7921

Keywords

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Funding

  1. BBSRC [BB/P00220X/1]
  2. EPSRC [EP/P001114/1, EP/N013905/1, EP/P029868/1]
  3. European Research Council [788753]
  4. U.K. Regenerative Medicine Platform Acellular/Smart Materials-3D Architecture [MR/R015651/1]
  5. MRC [MR/R015651/1] Funding Source: UKRI

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This study demonstrates the use of nanovibrational stimulation to induce osteogenic differentiation of mesenchymal stem cells without the need for exogenous growth factors. By identifying specific bioactive metabolites through this method, such as cholesterol sulfate and fludrocortisone acetate, the researchers were able to optimize metabolite potency by examining structure-function relationships with cytoskeletal contractility and cell stiffness as measures.
Bioactive metabolites have wide-ranging biological activities and are a potential source of future research and therapeutic tools. Here, we use nanovibrational stimulation to induce osteogenic differentiation of mesenchymal stem cells, in the absence of off-target, nonosteogenic differentiation. We show that this differentiation method, which does not rely on the addition of exogenous growth factors to culture media, provides an artifact-free approach to identifying bioactive metabolites that specifically and potently induce osteogenesis. We first identify a highly specific metabolite, cholesterol sulfate, an endogenous steroid. Next, a screen of other small molecules with a similar steroid scaffold identified fludrocortisone acetate with both specific and highly potent osteogenic-inducing activity. Further, we implicate cytoskeletal contractility as a measure of osteogenic potency and cell stiffness as a measure of specificity. These findings demonstrate that physical principles can be used to identify bioactive metabolites and then enable optimization of metabolite potency can be optimized by examining structure-function relationships.

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