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Skeletal muscle apoptotic signaling predicts thigh muscle volume and gait speed in community-dwelling older persons: an exploratory study.

Emanuele Marzetti | Hazel A Lees | Todd M Manini | Thomas W Buford | Juan M Aranda | Riccardo Calvani | Giorgio Capuani | Michael Marsiske | Donovan J Lott | Krista Vandenborne | Roberto Bernabei | Marco Pahor | Christiaan Leeuwenburgh | Stephanie E Wohlgemuth
PloS one | 2012

Preclinical studies strongly suggest that accelerated apoptosis in skeletal myocytes may be involved in the pathogenesis of sarcopenia. However, evidence in humans is sparse. In the present study, we investigated whether apoptotic signaling in the skeletal muscle was associated with indices of muscle mass and function in older persons.

Pubmed ID: 22389725

Research resources used in this publication

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Associated grants

  • Agency: NIA NIH HHS, United States
    Id: P30 AG028740
  • Agency: NCATS NIH HHS, United States
    Id: UL1 TR000064
  • Agency: NIA NIH HHS, United States
    Id: 1P30AG028740

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MIPAV: Medical Image Processing and Visualization (tool)

RRID:SCR_007371

A Java-based application that enables quantitative analysis and visualization of medical images of numerous modalities such as DTI, PET, MRI, CT, or microscopy. Using MIPAV's standard user-interface and analysis tools, researchers at remote sites (via the internet) can easily share research data and analyses, thereby enhancing their ability to research, diagnose, monitor, and treat medical disorders. MIPAV can be run on any Java-enabled platform such as Windows, UNIX, or Macintosh OS X. Functionality includes segmentation, inter- and intra multi-modality registration, surface rendering, volume rendering and reading and writing a large number of biomedical file formats including: DICOM 3.0, Analyze, NIFTI, SPM, MINC, Phillips, GE, Zeiss, Biorad, jpeg, png, tiff, mrc, fits, interfile, and many more.

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