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

doi:10.1128/mbio.01592-24

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Article

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

mBio - 16 Oct 2024

Stott Katharine E, Mohabir Jason T, Bowers Katharine, Tenor Jennifer L, Toffaletti Dena L, Unsworth Jennifer, Jimenez-Valverde Ana, Ahmadu Ajisa, Moyo Melanie, Gondwe Ebbie, Chimang'anga Wezi, Chasweka Madalitso, Lawrence David S, Jarvis Joseph N, Harrison Tom, Hope William, Lalloo David G, Mwandumba Henry C, Perfect John R, Cuomo Christina A

Abstract excerpt

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...

Topics

Meningitis, Cryptococcal
Humans
Antifungal Agents
HIV Infections
Malawi
Treatment Outcome
Genotype
Amphotericin B
Male
Female

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Adult

Cryptococcus

Drug Resistance, Fungal

Genomics

Cryptococcus neoformans

Microbial Sensitivity Tests

Source

Open in PubMed Open full text

Identifiers

PMID: 39189739
DOI: 10.1128/mbio.01592-24
PMCID: PMC11481554

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 30 Aug 2026. Prepared record publication-39189739-2026-08-30.1. Manifest publication-graph-cohort-2026-08-30.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 30 Aug 2026.

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