Diagnostic Value of Metagenomic Next Generation Sequencing for <i>Ureaplasma urealyticum</i> Infection: A Case Report

Ruan, Xuelian; Li, Meng; Xue, Qiang

doi:10.1093/labmed/lmab091

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…In a study performed by Ruan et al, authors have evaluated the diagnostic value of mNGS in U. urealyticum pneumonia. 9 In this case, U. urealyticum was identified by mNGS and confirmed by mycoplasma culture and qRT-PCR. After then, U. urealyticum sensitive drugs were used and the skin lesions of the patient were significantly improved without recurrence.…”

Section: Discussionmentioning

confidence: 63%

Recurrent Skin and Soft Tissue Infections Caused by Ureaplasma urealyticum in an Immunocompromised Adult Patient: A Case Report

Zhang¹,

Huang²,

Yang³

et al. 2022

IDR

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Ureaplasma urealyticum (U. urealyticum) is a normal commensal that colonizes the human genital tract and usually of low virulence; however, it can trigger serious extragenital infections in immunocompromised patient. In this case, a 48-year-old female immunocompromised patient with a four-year history of recurrent ulcer on extremities was presented to our hospital due to aggravation of lesions 10 months before. She was initially diagnosed as Pseudomonas aeruginosa infection secondary to lupus panniculitis and slightly responded to ceftazidime treatment; however, a new rash appeared on her left hip 16 days after admission, which was aggravated even under antibiotic treatment. After multiple negative cultures, U. urealyticum was identified in her left hip tissue using metagenomic next-generation sequencing (mNGS). U. urealyticum was also confirmed in her secretion samples from left hip, left thigh, right calf and uterine neck using mycoplasma culture and quantitative real-time polymerase chain reaction. Her lesions, especially the new rash, were positively responded to sensitive antibiotic treatment. To the best of our knowledge, this is the first case of U. urealyticum induced recurrent skin and soft-tissue infections (SSTIs) in an immunocompromised adult patient. This case suggests that the prevalence of this kind of infections may be underestimated because of the limitation of routine culture. mNGS may be considered to look for atypical pathogens to improve the antimicrobial treatment of complicated infections.

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Section: Discussionmentioning

confidence: 63%

Recurrent Skin and Soft Tissue Infections Caused by Ureaplasma urealyticum in an Immunocompromised Adult Patient: A Case Report

Zhang¹,

Huang²,

Yang³

et al. 2022

IDR

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“…Respiratory tract infections are responsible for the most fatalities among all infectious diseases. Despite the widespread use of molecular biology methods, a significant number of respiratory tract infections remain unidentified for the associated pathogens due to the diverse range of relevant pathogens (8,9). Conventional detection methods typically take several years to complete human genome sequencing, whereas mNGS can be completed in about a week.…”

Section: Discussionmentioning

confidence: 99%

Exploring the pathogen diagnosis and prognostic factors of severe COVID-19 using metagenomic next-generation sequencing: A retrospective study

Zeng,

Liang,

et al. 2024

J Med Biochemistry

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Background: This study aimed to identify pathogens and factors that predict the outcome of severe COVID-19 by utilizing metagenomic next-generation sequencing (mNGS) technology. Methods: We retrospectively analyzed data from 56 severe COVID-19 patients admitted to our hospital between December 2022 and March 2023. We analyzed the pathogen types and strains detected through mNGS and conventional microbiological testing and collected general patient information. Results: In this study, 42 pathogens were detected using mNGS and conventional microbiological testing. mNGS had a significantly higher detection rate of 90.48% compared to 71.43% for conventional testing (P=0.026). A total of 196 strains were detected using both methods, with a significantly higher detection rate of 70.92% for mNGS compared to 49.49% for conventional testing (P=0.000). The 56 patients were divided into a survival group (33 cases) and a death group (23 cases) based on clinical outcomes. The survival group had significantly lower age, number of pathogens detected by mNGS, number of pathogens detected by conventional testing, APACHE-II score, SOFA score, high-sensitivity troponin, creatine kinase-MB subtype, and lactate dehydrogenase compared to the death group (P<0.05). Multivariate logistic regression analysis showed that these factors were risk factors for mortality in severe COVID-19 patients (P<0.05). In contrast, ROC curve analysis revealed that these factors had diagnostic values for mortality, with AUC values ranging from 0.657 to 0.963. The combined diagnosis of these indicators had an AUC of 0.924. Conclusion: The use of mNGS technology can significantly enhance the detection of pathogens in severe cases of COVID-19 and also has a solid ability to predict clinical outcomes.

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Ureaplasma infections: update on epidemiology, antimicrobial resistance, and pathogenesis

Liu,

Yang,

Kong

et al. 2024

Critical Reviews in Microbiology

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Diagnostic Value of Metagenomic Next Generation Sequencing for Ureaplasma urealyticum Infection: A Case Report

Cited by 3 publications

References 14 publications

Recurrent Skin and Soft Tissue Infections Caused by Ureaplasma urealyticum in an Immunocompromised Adult Patient: A Case Report

Recurrent Skin and Soft Tissue Infections Caused by Ureaplasma urealyticum in an Immunocompromised Adult Patient: A Case Report

Exploring the pathogen diagnosis and prognostic factors of severe COVID-19 using metagenomic next-generation sequencing: A retrospective study

Ureaplasma infections: update on epidemiology, antimicrobial resistance, and pathogenesis

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