The Journal of infectious diseases · 2026
Insights on Recurrent and Sequential Clostridioides difficile Infections From Genomic Surveillance in Minnesota, USA, 2019-2021.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Evans Daniel, Friedman Bree, Pung Kelly, Weber Bonnie, Plumb Matthew, Garfin Jacob, Lees Christine, Holzbauer Stacy, Lynfield Ruth, Wang Xiong
Аннотация
BACKGROUND: The frequent temporal recurrence of Clostridioides difficile infection (CDI) may be the result of relapse with the same strain or reinfection with a different strain. We used whole-genome sequencing (WGS) to assess the genetic diversity and molecular evolution of strains that caused recurrent or sequential CDI.
METHODS: We analyzed data from active population- and laboratory-based surveillance of CDI in Minnesota, USA. We performed WGS on isolates collected from 306 patients with multiple CDI events during 2019-2021. We identified multi-locus sequence types (MLSTs), nucleotide variants, and putative mobile genetic elements (MGEs) from WGS data to study the genetic similarity and evolution of those C. difficile genomes.
RESULTS: Among patients with multiple CDI events in the surveillance period, 198 (64.7%) had multiple infections of the same MLST, including 49.6% of patients with subsequent infections beyond the 8-week limit of the case definition for recurrent CDI Among 232 temporally defined events of recurrent CDI, 155 (66.8%) involved isolates of the same MLST. There were no statistically significant correlations between accumulated mutations and elapsed time between same-MLST CDI events. Analysis of sequential same-MLST C. difficile genomes showed evidence of gain or loss of putative mobile genetic elements (MGEs) in 45.6% of genome pairs.
CONCLUSIONS: Leveraging the largest CDI genomic dataset to date, our results confirm prior findings that recurrent CDI is a combination of reinfection and/or change in the ascendant strain in mixed infection, and relapse, while expanding knowledge on the evolution of pathogenic C. difficile strains in the human gastrointestinal tract.
METHODS: We analyzed data from active population- and laboratory-based surveillance of CDI in Minnesota, USA. We performed WGS on isolates collected from 306 patients with multiple CDI events during 2019-2021. We identified multi-locus sequence types (MLSTs), nucleotide variants, and putative mobile genetic elements (MGEs) from WGS data to study the genetic similarity and evolution of those C. difficile genomes.
RESULTS: Among patients with multiple CDI events in the surveillance period, 198 (64.7%) had multiple infections of the same MLST, including 49.6% of patients with subsequent infections beyond the 8-week limit of the case definition for recurrent CDI Among 232 temporally defined events of recurrent CDI, 155 (66.8%) involved isolates of the same MLST. There were no statistically significant correlations between accumulated mutations and elapsed time between same-MLST CDI events. Analysis of sequential same-MLST C. difficile genomes showed evidence of gain or loss of putative mobile genetic elements (MGEs) in 45.6% of genome pairs.
CONCLUSIONS: Leveraging the largest CDI genomic dataset to date, our results confirm prior findings that recurrent CDI is a combination of reinfection and/or change in the ascendant strain in mixed infection, and relapse, while expanding knowledge on the evolution of pathogenic C. difficile strains in the human gastrointestinal tract.