TY - JOUR
T1 - Metagenomic Identification of Fusarium solani Strain as Cause of US Fungal Meningitis Outbreak Associated with Surgical Procedures in Mexico, 2023
AU - Chiu, Charles Y.
AU - Servellita, Venice
AU - de Lorenzi-Tognon, Mikael
AU - Benoit, Patrick
AU - Sumimoto, Nanami
AU - Foresythe, Abiodun
AU - Cerqueira, Filipe M.
AU - Williams-Bouyer, Natalie
AU - Ren, Ping
AU - Herrera, Lauren Nicholas S.
AU - Gaston, David C.
AU - Sayyad, Leanna
AU - Whitmer, Shannon L.
AU - Klena, John
AU - Vikram, Holenarasipur R.
AU - Gold, Jeremy A.W.
AU - Gade, Lalitha
AU - Parnell, Lindsay
AU - Misas, Elizabeth
AU - Chiller, Tom M.
AU - Griffin, Isabel S.
AU - Basavaraju, Sridhar V.
AU - Smith, Dallas J.
AU - Litvintseva, Anastasia P.
AU - Chow, Nancy A.
N1 - Publisher Copyright:
© 2025 Centers for Disease Control and Prevention (CDC). All rights reserved.
PY - 2025/5
Y1 - 2025/5
N2 - We used metagenomic next-generation sequencing (mNGS) to investigate an outbreak of Fusarium solani meningitis in US patients who had surgical procedures under spinal anesthesia in Matamoros, Mexico, during 2023. Using a novel method called metaMELT (metagenomic multiple extended locus typing), we performed phylogenetic analysis of concatenated mNGS reads from 4 patients (P1–P4) in parallel with reads from 28 fungal reference genomes. Fungal strains from the 4 patients were most closely related to each other and to 2 cultured isolates from P1 and an additional case (P5), suggesting that all cases arose from a point source exposure. Our findings support epidemiologic data implicating a contaminated drug or device used for epidural anesthesia as the likely cause of the outbreak. In addition, our findings show that the benefits of mNGS extend beyond diagnosis of infections to public health outbreak investigation.
AB - We used metagenomic next-generation sequencing (mNGS) to investigate an outbreak of Fusarium solani meningitis in US patients who had surgical procedures under spinal anesthesia in Matamoros, Mexico, during 2023. Using a novel method called metaMELT (metagenomic multiple extended locus typing), we performed phylogenetic analysis of concatenated mNGS reads from 4 patients (P1–P4) in parallel with reads from 28 fungal reference genomes. Fungal strains from the 4 patients were most closely related to each other and to 2 cultured isolates from P1 and an additional case (P5), suggesting that all cases arose from a point source exposure. Our findings support epidemiologic data implicating a contaminated drug or device used for epidural anesthesia as the likely cause of the outbreak. In addition, our findings show that the benefits of mNGS extend beyond diagnosis of infections to public health outbreak investigation.
UR - https://www.scopus.com/pages/publications/105004294785
UR - https://www.scopus.com/pages/publications/105004294785#tab=citedBy
U2 - 10.3201/eid3105.241657
DO - 10.3201/eid3105.241657
M3 - Article
C2 - 40180580
AN - SCOPUS:105004294785
SN - 1080-6040
VL - 31
SP - 948
EP - 949
JO - Emerging infectious diseases
JF - Emerging infectious diseases
IS - 5
ER -