Systematic Interrogation of Angiogenesis in the Ischemic Mouse Hind Limb: Vulnerabilities and Quality Assurance

Jason J Lee1,2,3, John-Michael Arpino1,3, Hao Yin1

  • 1Robarts Research Institute (J.J.L., J.-M.A., H.Y., Z.N., A.S., J.C., C.O., J.G.P.), Western University, London, Ontario, Canada.

Abstract

Insights

Mouse hind limb ischemia studies often fail to translate to patient benefit. Angiogenesis, or new blood vessel growth, primarily occurs in regenerating muscle zones, a factor rarely analyzed in published research.

Area of Science:

  • Cardiovascular Research
  • Regenerative Medicine
  • Preclinical Models

Background:

  • Translating preclinical mouse hind limb ischemia studies to peripheral artery disease patient benefit remains a challenge.
  • Understanding the precise injury and angiogenesis patterns in mouse models is crucial for improving study relevance.

Purpose of the Study:

  • To map ischemic injury and angiogenesis in mouse hind limbs.
  • To assess if existing studies analyze angiogenesis concordantly with injury and regeneration patterns.

Main Methods:

  • Generated injury maps based on myofiber nuclei loss/centralization in 22 hind limb muscles.
  • Mapped angiogenesis using CD31-positive capillary content.
  • Conducted a systematic review of 509 mouse hind limb angiogenesis studies.

Main Results:

  • Consistent muscle injury was observed in only 10 of 33 muscle territories, predominantly distal anterior hind limb muscles.
  • Angiogenesis was exclusively associated with regenerating muscle zones (central nuclei), not necrotic or normal muscle.
  • Only 7% of reviewed studies analyzed angiogenesis in distal anterior hind limb muscles, and 15% examined regenerating zones.

Conclusions:

  • Angiogenesis in mouse hind limb ischemia models occurs exclusively in regenerating muscle zones.
  • Current preclinical studies often fail to analyze angiogenesis in relevant muscle regeneration areas or high-likelihood injury territories.
  • Implementing quality assurance standards based on detailed mapping can improve data reliability and translational potential.

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