Stott, KE;
Mohabir, JT;
Bowers, K;
Tenor, JL;
Toffaletti, DL;
Unsworth, J;
Jimenez-Valverde, A;
Ahmadu, A;
Moyo, M;
Gondwe, E;
et al.
Stott, KE; Mohabir, JT; Bowers, K; Tenor, JL; Toffaletti, DL; Unsworth, J; Jimenez-Valverde, A; Ahmadu, A; Moyo, M; Gondwe, E; Chimang'anga, W; Chasweka, M; Lawrence, DS; Jarvis, JN; Harrison, T; Hope, W; Lalloo, DG; Mwandumba, HC; Perfect, JR; Cuomo, CA; AMBITION Study Group
(2024)
Integration of genomic and pharmacokinetic data to predict clinical outcomes in HIV-associated cryptococcal meningitis.
mBio, 15 (10).
e0159224.
ISSN 2150-7511
https://doi.org/10.1128/mbio.01592-24
SGUL Authors: Harrison, Thomas Stephen
Abstract
UNLABELLED: Cryptococcal meningitis causes an estimated 112,000 global deaths per annum. Genomic and phenotypic features of the infecting strain of Cryptococcus spp. have been associated with outcomes from cryptococcal meningitis. Additionally, population-level pharmacokinetic variability is well documented in these patient cohorts. The relative contribution of these factors to clinical outcomes is unknown. Based in Malawi, we conducted a sub-study of the phase 3 Ambition-CM trial (ISRCTN72509687), collecting plasma and cerebrospinal fluid at serial time points during the first 14 days of antifungal therapy. We explored the relative contribution of pathogen genotype, drug resistance phenotype, and pharmacokinetics on clinical outcomes including lumbar opening pressure, pharmacodynamic effect, and mortality. We report remarkable genomic homogeneity among infecting strains of Cryptococcus spp., within and between patients. There was no evidence of acquisition of antifungal resistance in our isolates. Genotypic features of the infecting strain were not consistently associated with adverse or favorable clinical outcomes. However, baseline fungal burden and early fungicidal activity (EFA) were associated with mortality. The strongest predictor of EFA was the level of exposure to amphotericin B. Our analysis suggests the most effective means of improving clinical outcomes from HIV-associated cryptococcal meningitis is to optimize exposure to potent antifungal therapy. IMPORTANCE: HIV-associated cryptococcal meningitis is associated with a high burden of mortality. Research into the different strain types causing this disease has yielded inconsistent findings in terms of which strains are associated with worse clinical outcomes. Our study suggests that the exposure of patients to potent anti-cryptococcal drugs has a more significant impact on clinical outcomes than the strain type of the infecting organism. Future research should focus on optimizing drug exposure, particularly in the context of novel anticryptococcal drugs coming into clinical use.
Item Type: |
Article
|
Additional Information: |
© 2024 Stott et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: |
Cryptococcus, cryptococcal meningitis, genomics, pharmacodynamics, pharmacokinetics, Meningitis, Cryptococcal, Humans, Antifungal Agents, HIV Infections, Malawi, Treatment Outcome, Genotype, Amphotericin B, Male, Female, Adult, Cryptococcus, Drug Resistance, Fungal, Genomics, Cryptococcus neoformans, Microbial Sensitivity Tests, AMBITION Study Group, Humans, Cryptococcus, Cryptococcus neoformans, Meningitis, Cryptococcal, HIV Infections, Amphotericin B, Antifungal Agents, Treatment Outcome, Microbial Sensitivity Tests, Genomics, Drug Resistance, Fungal, Genotype, Adult, Malawi, Female, Male, Cryptococcus, pharmacokinetics, pharmacodynamics, cryptococcal meningitis, genomics, 0605 Microbiology |
SGUL Research Institute / Research Centre: |
Academic Structure > Infection and Immunity Research Institute (INII) |
Journal or Publication Title: |
mBio |
ISSN: |
2150-7511 |
Language: |
eng |
Dates: |
Date | Event |
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16 October 2024 | Published | 27 August 2024 | Published Online | 15 July 2024 | Accepted |
|
Publisher License: |
Creative Commons: Attribution 4.0 |
Projects: |
|
PubMed ID: |
39189739 |
Web of Science ID: |
WOS:001299459000001 |
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Go to PubMed abstract |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/117106 |
Publisher's version: |
https://doi.org/10.1128/mbio.01592-24 |
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