» Articles » PMID: 38342110

Development and Validation of Quantitative PCR Assays for HIV-associated Cryptococcal Meningitis in Sub-Saharan Africa: A diagnostic Accuracy Study

Abstract

Background: HIV-associated cryptococcal meningitis is the second leading cause of AIDS-related deaths, with a 10-week mortality rate of 25-30%. Fungal load assessed by colony-forming unit (CFU) counts is used as a prognostic marker and to monitor response to treatment in research studies. PCR-based assessment of fungal load could be quicker and less labour-intensive. We sought to design, optimise, and validate quantitative PCR (qPCR) assays for the detection, identification, and quantification of Cryptococcus infections in patients with cryptococcal meningitis in sub-Saharan Africa.

Methods: We developed and validated species-specific qPCR assays based on DNA amplification of QSP1 (QSP1A specific to Cryptococcus neoformans, QSP1B/C specific to Cryptococcus deneoformans, and QSP1D specific to Cryptococcus gattii species) and a pan-Cryptococcus assay based on a multicopy 28S rRNA gene. This was a longitudinal study that validated the designed assays on cerebrospinal fluid (CSF) of 209 patients with cryptococcal meningitis at baseline (day 0) and during anti-fungal therapy (day 7 and day 14), from the AMBITION-cm trial in Botswana and Malawi (2018-21). Eligible patients were aged 18 years or older and presenting with a first case of cryptococcal meningitis.

Findings: When compared with quantitative cryptococcal culture as the reference, the sensitivity of the 28S rRNA was 98·2% (95% CI 95·1-99·5) and of the QSP1 assay was 90·4% (85·2-94·0) in CSF at day 0. Quantification of the fungal load with QSP1 and 28S rRNA qPCR correlated with quantitative cryptococcal culture (R=0·73 and R=0·78, respectively). Both Botswana and Malawi had a predominant C neoformans prevalence of 67% (95% CI 55-75) and 68% (57-73), respectively, and lower C gattii rates of 21% (14-31) and 8% (4-14), respectively. We identified ten patients that, after 14 days of treatment, harboured viable but non-culturable yeasts based on QSP1 RNA detection (without any positive CFU in CSF culture).

Interpretation: QSP1 and 28S rRNA assays are useful in identifying Cryptococcus species. qPCR results correlate well with baseline quantitative cryptococcal culture and show a similar decline in fungal load during induction therapy. These assays could be a faster alternative to quantitative cryptococcal culture to determine fungal load clearance. The clinical implications of the possible detection of viable but non-culturable cells in CSF during induction therapy remain unclear.

Funding: European and Developing Countries Clinical Trials Partnership; Swedish International Development Cooperation Agency; Wellcome Trust/UK Medical Research Council/UKAID Joint Global Health Trials; and UK National Institute for Health Research.

Citing Articles

Insight into the Mechanisms and Clinical Relevance of Antifungal Heteroresistance.

Su Y, Li Y, Yi Q, Xu Y, Sun T, Li Y J Fungi (Basel). 2025; 11(2).

PMID: 39997437 PMC: 11856953. DOI: 10.3390/jof11020143.


Molecular diagnostics in cerebrospinal fluid for the diagnosis of central nervous system infections.

Olie S, Andersen C, van de Beek D, Brouwer M Clin Microbiol Rev. 2024; 37(4):e0002124.

PMID: 39404267 PMC: 11629637. DOI: 10.1128/cmr.00021-24.


Molecular Diagnostics for Invasive Fungal Diseases: Current and Future Approaches.

Pham D, Sivalingam V, Tang H, Montgomery J, Chen S, Halliday C J Fungi (Basel). 2024; 10(7).

PMID: 39057332 PMC: 11278267. DOI: 10.3390/jof10070447.


Population heterogeneity in Cryptococcus neoformans: Impact on pathogenesis.

Agrawal R, de Castro R, Sturny-Leclere A, Alanio A PLoS Pathog. 2024; 20(7):e1012332.

PMID: 38990818 PMC: 11239025. DOI: 10.1371/journal.ppat.1012332.

References
1.
Delliere S, Hamane S, Aissaoui N, Gits-Muselli M, Bretagne S, Alanio A . Increased sensitivity of a new commercial reverse transcriptase-quantitative PCR for the detection of Pneumocystis jirovecii in respiratory specimens. Med Mycol. 2021; 59(8):845-848. DOI: 10.1093/mmy/myab029. View

2.
Mohamed S, Nyazika T, Ssebambulidde K, Lionakis M, Meya D, Drummond R . Fungal CNS Infections in Africa: The Neuroimmunology of Cryptococcal Meningitis. Front Immunol. 2022; 13:804674. PMC: 9010970. DOI: 10.3389/fimmu.2022.804674. View

3.
Bustin S, Benes V, Garson J, Hellemans J, Huggett J, Kubista M . The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem. 2009; 55(4):611-22. DOI: 10.1373/clinchem.2008.112797. View

4.
Hagen F, Khayhan K, Theelen B, Kolecka A, Polacheck I, Sionov E . Recognition of seven species in the Cryptococcus gattii/Cryptococcus neoformans species complex. Fungal Genet Biol. 2015; 78:16-48. DOI: 10.1016/j.fgb.2015.02.009. View

5.
Perfect J, Bicanic T . Cryptococcosis diagnosis and treatment: What do we know now. Fungal Genet Biol. 2014; 78:49-54. PMC: 4395512. DOI: 10.1016/j.fgb.2014.10.003. View