SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

Integration of genomic and pharmacokinetic data to predict clinical outcomes in HIV-associated cryptococcal meningitis.

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

[img]
Preview
PDF Published Version
Available under License Creative Commons Attribution.

Download (832kB) | Preview

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:
DateEvent
16 October 2024Published
27 August 2024Published Online
15 July 2024Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
R01 AI073896NIAID NIH HHSUNSPECIFIED
R01 AI093257NIAID NIH HHSUNSPECIFIED
203919/Z/16/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
AI73896National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
AI93257National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
NIHR134342National Institute for Health and Care Researchhttps://doi.org/10.13039/501100000272
TRIA2015-1092European and Developing Countries Clinical Trials Partnershiphttp://dx.doi.org/10.13039/501100001713
RP-2017-08-ST2-012National Institute for Health and Care Researchhttps://doi.org/10.13039/501100000272
MR/P006922/1Joint Global Health Trials schemeUNSPECIFIED
PubMed ID: 39189739
Web of Science ID: WOS:001299459000001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/117106
Publisher's version: https://doi.org/10.1128/mbio.01592-24

Actions (login required)

Edit Item Edit Item