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Herpes simplex virus encephalitis: cranial magnetic resonance imaging and neuropathology in a mouse model

U Meyding-Lamadé1, W Lamadé, R Kehm

  • 1Department of Neurology, INF 400 Kopfklinik, Heidelberg, Germany. j79@ix.urz.uni-heidelberg.de

Neuroscience Letters
|July 17, 1998
PubMed

Insights

Magnetic resonance imaging (MRI) effectively tracked structural brain changes in mice with herpes simplex virus encephalitis. This non-invasive technique correlated well with histopathology, showing disease progression over six months.

Area of Science:

  • Neuroscience
  • Virology
  • Medical Imaging

Background:

  • Herpes simplex virus encephalitis is a severe neurological condition.
  • Long-term studies of its effects on brain structure are crucial.
  • Mouse models are essential for understanding disease progression.

Purpose of the Study:

  • To evaluate magnetic resonance imaging (MRI) as a tool for monitoring herpes simplex virus encephalitis in a mouse model.
  • To correlate MRI findings with neuropathological changes over time.
  • To assess the long-term structural impact of the infection.

Main Methods:

  • Infection of mice with herpes simplex virus type 1 (HSV-1).
  • Longitudinal in vivo magnetic resonance imaging (MRI) using a 1.5-T scanner.
  • Histopathological analysis including immunohistochemistry.
  • Polymerase chain reaction (PCR) for HSV DNA detection.

Main Results:

  • Clinical signs of encephalitis were severe in the first two weeks, followed by recovery.
  • MRI abnormalities corresponded well with histopathological findings.
  • HSV DNA was detectable both initially and at six months post-infection.
  • Structural brain abnormalities detected by MRI increased in extent and severity at six months.

Conclusions:

  • Magnetic resonance imaging (MRI) provides a valuable in vivo method for detecting structural changes during experimental herpes simplex virus encephalitis.
  • MRI findings correlate with neuropathological outcomes.
  • The study demonstrates the utility of MRI for long-term disease monitoring in this model.

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