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Low Dose Naltrexone Treatment of Established Relapsing-Remit | 46210

Revista de esclerosis múltiple

ISSN - 2376-0389

Abstracto

Low Dose Naltrexone Treatment of Established Relapsing-Remitting Experimental Autoimmune Encephalomyelitis

Leslie A Hammer, Ian S Zagon and Patricia J McLaughlin

Background: Relapse-remitting multiple sclerosis is a chronic disorder that affects more than 400,000 individuals in the United States, often reducing their quality of life, increasing medical expenses, and limiting mobility. This study examines modulation of the opioid growth factor (OGF) – OGF receptor (OGFr) axis by low dosages of naltrexone (LDN) as a disease modifying therapy using a mouse model of relapse-remitting experimental autoimmune encephalomyelitis (RR-EAE).

Methods: RR-EAE was induced by immunization of SJL/J mice with proteolipid protein 139-151. After two days of clinical disease, mice were injected intraperitoneally with 0.1 mg/kg naltrexone (LDN) or saline for 40 days. Behavior was observed daily, and periodically, mice were euthanized and spinal cords collected for neuropathological evaluation of glia, T lymphocyte infiltration, and demyelination.

Results: LDN treatment significantly reduced behavioral scores across the 40 day observation period. LDN therapy increased the length of remission, as well as the duration of mild disease. A bimodal distribution of behavioral response to LDN was noted that distinguished “responders” from “non-responders”. Pathological analyses of spinal cord tissue from all LDN-treated mice revealed reductions in the number of inflammatory cells (microglia/macrophages), activated astrocytes, and proliferating cells, as well as decreases in areas of demyelination relative to saline-treated mice with RR-EAE.

Conclusions: These data are the first to demonstrate that modulation of the OGF-OGFr axis by LDN in mice with established RR-EAE is effective at reducing clinical behavior and central nervous system neuropathology.

Descargo de responsabilidad: Este resumen fue traducido utilizando herramientas de inteligencia artificial y aún no ha sido revisado ni verificado.