Plerixafor for pathogen-agnostic treatment in murine thigh infection and zebrafish sepsis.
Martin Oman EvansDarren M SmithAdrian T KressRobert J NadeauDaniel J SeligDiana CaridhaRatanachat RacharaksThomas LangowskiMichael S MadejczykChance M CarbaughDavid SaundersMark WidderJason De MeesePatricia J LeeJesse P DeLucaPublished in: Clinical and translational science (2024)
Plerixafor is a CXCR4 antagonist approved in 2008 by the FDA for hematopoietic stem cell collection. Subsequently, plerixafor has shown promise as a potential pathogen-agnostic immunomodulator in a variety of preclinical animal models. Additionally, investigator-led studies demonstrated plerixafor prevents viral and bacterial infections in patients with WHIM syndrome, a rare immunodeficiency with aberrant CXCR4 signaling. Here, we investigated whether plerixafor could be repurposed to treat sepsis or severe wound infections, either alone or as an adjunct therapy. In a Pseudomonas aeruginosa lipopolysaccharide (LPS)-induced zebrafish sepsis model, plerixafor reduced sepsis mortality and morbidity assessed by tail edema. There was a U-shaped response curve with the greatest effect seen at 0.1 μM concentration. We used Acinetobacter baumannii infection in a neutropenic murine thigh infection model. Plerixafor did not show reduced bacterial growth at 24 h in the mouse thigh model, nor did it amplify the effects of a rifampin antibiotic therapy, in varying regimens. While plerixafor did not mitigate or treat bacterial wound infections in mice, it did reduce sepsis mortality in zebra fish. The observed mortality reduction in our LPS model of zebrafish was consistent with prior research demonstrating a mortality benefit in a murine model of sepsis. However, based on our results, plerixafor is unlikely to be successful as an adjunct therapy for wound infections. Further research is needed to better define the scope of plerixafor as a pathogen-agnostic therapy. Future directions may include the use of longer acting CXCR4 antagonists, biased CXCR4 signaling, and optimization of animal models.
Keyphrases
- septic shock
- acute kidney injury
- intensive care unit
- pseudomonas aeruginosa
- lps induced
- acinetobacter baumannii
- inflammatory response
- cardiovascular events
- risk factors
- drug resistant
- multidrug resistant
- hematopoietic stem cell
- cystic fibrosis
- cardiovascular disease
- type diabetes
- risk assessment
- sars cov
- stem cells
- climate change
- staphylococcus aureus
- adipose tissue
- current status
- metabolic syndrome
- machine learning
- biofilm formation
- soft tissue
- surgical site infection
- human health
- wound healing
- bone marrow
- skeletal muscle