Development of an ELISA to detect Sin Nombre virus-specific IgM from deer mice (Peromyscus maniculatus)

Mariana G Bego1, Darcy Bawiec1, Deepa Dandge1

  • 1University of Nevada, Reno, School of Medicine, Department of Microbiology, 1664 N Virginia St. MS 200, Reno, NV 89557, USA.

Insights

Deer mice are reservoirs for Sin Nombre virus (SNV). A new IgM enzyme-linked immunosorbent assay (ELISA) detects early SNV infections in rodents, offering a key diagnostic tool for active disease surveillance.

Area of Science:

  • * Virology
  • * Immunology
  • * Ecology

Background:

  • * Peromyscus maniculatus (deer mouse) serves as the primary reservoir for Sin Nombre virus (SNV).
  • * Antibody detection is crucial for understanding viral circulation in wildlife populations.
  • * Immunoglobulin G (IgG) antibodies indicate past infections, while Immunoglobulin M (IgM) antibodies suggest active or recent infection.

Purpose of the Study:

  • * To develop and validate a sensitive assay for detecting SNV-specific IgM antibodies.
  • * To assess the utility of IgM detection for identifying early-stage SNV infections in deer mice.
  • * To determine the persistence duration of SNV-specific IgM responses.

Main Methods:

  • * Development of a mu-capture SNV-specific IgM enzyme-linked immunosorbent assay (ELISA).
  • * Analysis of 68 rodent sera collected from live-trap and release studies.
  • * Simultaneous testing for both SNV-specific IgG and IgM antibodies.

Main Results:

  • * The developed IgM ELISA successfully detected SNV-specific IgM responses in a subset of the analyzed rodent sera.
  • * In several cases, IgM antibodies were detected earlier than IgG antibodies, indicating early-stage infection.
  • * SNV-specific IgM responses persisted for 1 to over 2 months, with a median duration under 1 month.

Conclusions:

  • * Anti-SNV IgM is a valuable biomarker for detecting early Sin Nombre virus infections in rodent populations.
  • * The developed IgM ELISA is a critical diagnostic tool for active disease surveillance in wildlife reservoirs.
  • * Understanding IgM antibody dynamics aids in accurately assessing current viral transmission patterns.

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