NUK - logo
E-viri
Celotno besedilo
Recenzirano Odprti dostop
  • Immunoglobulin M seroneutra...
    Bharucha, Tehmina; Ayhan, Nazli; Pastorino, Boris; Rattanavong, Sayaphet; Vongsouvath, Manivanh; Mayxay, Mayfong; Changthongthip, Anisone; Sengvilaipaseuth, Onanong; Phonemixay, Ooyanong; Pommier, Jean-David; Gorman, Christopher; Zitzmann, Nicole; Newton, Paul N; de Lamballerie, Xavier; Dubot-Pérès, Audrey

    Transactions of the Royal Society of Tropical Medicine and Hygiene, 11/2022, Letnik: 116, Številka: 11
    Journal Article

    The mainstay of diagnostic confirmation of acute Japanese encephalitis (JE) involves detection of anti-JE virus (JEV) immunoglobulin M (IgM) by enzyme-linked immunosorbent assay (ELISA). Limitations in the specificity of this test are increasingly apparent with the introduction of JEV vaccinations and the endemicity of other cross-reactive flaviviruses. Virus neutralization testing (VNT) is considered the gold standard, but it is challenging to implement and interpret. We performed a pilot study to assess IgG depletion prior to VNT for detection of anti-JEV IgM neutralizing antibodies (IgM-VNT) as compared with standard VNT. We evaluated IgM-VNT in paired sera from anti-JEV IgM ELISA-positive patients (JE n=35) and negative controls of healthy flavivirus-naïve (n=10) as well as confirmed dengue (n=12) and Zika virus (n=4) patient sera. IgM-VNT was subsequently performed on single sera from additional JE patients (n=76). Anti-JEV IgG was detectable in admission serum of 58% of JE patients. The positive, negative and overall percentage agreement of IgM-VNT as compared with standard VNT was 100%. A total of 12/14 (86%) patient samples were unclassified by VNT and, with sufficient sample available for IgG depletion and IgG ELISA confirming depletion, were classified by IgM-VNT. IgM-VNT enabled JE case classification in 72/76 (95%) patients for whom only a single sample was available. The novel approach has been readily adapted for high-throughput testing of single patient samples and it holds promise for incorporation into algorithms for use in reference centres.