Cellular Biomechanic Impairment in Cardiomyocytes Carrying the Progeria Mutation: An Atomic Force Microscopy Investigation.
Brisa PeñaShanshan GaoDaniele BorinGiorgia Del FaveroMostafa Abdel-HafizNasim FarahzadPaola LorenzonGianfranco SinagraMatthew R G TaylorLuisa MestroniOrfeo SbaizeroPublished in: Langmuir : the ACS journal of surfaces and colloids (2022)
Given the clinical effect of progeria syndrome, understanding the cell mechanical behavior of this pathology could benefit the patient's treatment. Progeria patients show a point mutation in the lamin A/C gene (LMNA), which could change the cell's biomechanical properties. This paper reports a mechano-dynamic analysis of a progeria mutation (c.1824 C > T, p.Gly608Gly) in neonatal rat ventricular myocytes (NRVMs) using cell indentation by atomic force microscopy to measure alterations in beating force, frequency, and contractile amplitude of selected cells within cell clusters. Furthermore, we examined the beating rate variability using a time-domain method that produces a Poincaré plot because beat-to-beat changes can shed light on the causes of arrhythmias. Our data have been further related to our cell phenotype findings, using immunofluorescence and calcium transient analysis, showing that mutant NRVMs display changes in both beating force and frequency. These changes were associated with a decreased gap junction localization (Connexin 43) in the mutant NRVMs even in the presence of a stable cytoskeletal structure (microtubules and actin filaments) when compared with controls (wild type and non-treated cells). These data emphasize the kindred between nucleoskeleton (LMNA), cytoskeleton, and the sarcolemmal structures in NRVM with the progeria Gly608Gly mutation, prompting future mechanistic and therapeutic investigations.
Keyphrases
- atomic force microscopy
- single cell
- cell therapy
- induced apoptosis
- wild type
- single molecule
- high speed
- emergency department
- chronic kidney disease
- heart failure
- newly diagnosed
- end stage renal disease
- cell cycle arrest
- blood pressure
- left ventricular
- big data
- signaling pathway
- gene expression
- artificial intelligence
- deep learning
- case report
- functional connectivity
- brain injury
- endothelial cells