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Using circulating microbial cell-free DNA to identify persistent Treponema pallidum infection in serofast syphilis patients.


ABSTRACT: The question of whether serofast status of syphilis patients indicates an ongoing low-grade Treponema pallidum (T. pallidum) infection remains unanswered. To address this, we developed a machine learning model to identify T. pallidum in cell-free DNA (cfDNA) using next-generation sequencing (NGS). Our findings showed that a TP_rate cut-off of 0.033 demonstrated superior diagnostic performance for syphilis, with a specificity of 92.3% and a sensitivity of 71.4% (AUROC = 0.92). This diagnosis model predicted that 20 out of 92 serofast patients had a persistent low-level infection. Based on these predictions, re-treatment was administered to these patients and its efficacy was evaluated. The results showed a statistically significant decrease in RPR titers in the prediction-positive group compared to the prediction-negative group after re-treatment (p < 0.05). These findings provide evidence for the existence of T. pallidum under serofast status and support the use of intensive treatment for serofast patients at higher risk in clinical practice.

SUBMITTER: Wu MY 

PROVIDER: S-EPMC10959656 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature

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Using circulating microbial cell-free DNA to identify persistent <i>Treponema pallidum</i> infection in serofast syphilis patients.

Wu Meng Yin MY   Chen Lu L   Liu Li Cheng LC   Liu Ming Juan MJ   Li Yan Feng YF   Zheng He Yi HY   Leng Ling L   Zou Yi Jun YJ   Chen Wei Jun WJ   Li Jun J  

iScience 20240301 4


The question of whether serofast status of syphilis patients indicates an ongoing low-grade <i>Treponema pallidum (T. pallidum)</i> infection remains unanswered. To address this, we developed a machine learning model to identify <i>T. pallidum</i> in cell-free DNA (cfDNA) using next-generation sequencing (NGS). Our findings showed that a TP_rate cut-off of 0.033 demonstrated superior diagnostic performance for syphilis, with a specificity of 92.3% and a sensitivity of 71.4% (AUROC = 0.92). This  ...[more]

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