ArticleCells2022
The Dynamics of
Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Molecular remodelling ofJournal of medical microbiology · 2026Article
- Cryptococcal Infection Across Disease Stages: Host-Pathogen Interactions, Tissue Niches, and Translational Priorities.Pathogens (Basel, Switzerland) · 2026Review
- Ovoid cell is an inducible small-sized morphotype that enhances proliferation and antifungal drug tolerance in the human fungal pathogen Cryptococcus neoformans.PLoS pathogens · 2026Article
- Genomic and physiological signatures of adaptation in pathogenic fungi.Nature communications · 2026Article
- An integrative ultrastructural and transcriptomic analysis of host-pathogen interactions with human brain microvascular endothelial cells during cryptococcal infection: a preliminary study.Frontiers in cellular and infection microbiology · 2026Article
- Article
- Effects of simulated microgravity on biological features and virulence of the fungal pathogenApplied and environmental microbiology · 2025Article
- Cryptococcal nutrient acquisition and pathogenesis: dining on the host.Microbiology and molecular biology reviews : MMBR · 2025Review
- Adaptative Divergence ofJournal of fungi (Basel, Switzerland) · 2025Article
- The impact of phenotypic heterogeneity on fungal pathogenicity and drug resistance.FEMS microbiology reviews · 2025Review
- Is Cryptococcus neoformans a pleomorphic fungus?Current opinion in microbiology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 4 institutions in 2 countries.
Funding
Abstract
The phenotypic plasticity of Cryptococcus neoformans is widely studied and demonstrated in vitro, but its influence on pathogenicity remains unclear. In this study, we investigated the dynamics of cryptococcal cell and transcriptional remodeling during pulmonary infection in a murine model. We showed that in Cryptococcus neoformans, cell size reduction (cell body ≤ 3 µm) is important for initial adaptation during infection. This change was associated with reproductive fitness and tissue invasion. Subsequently, the fungus develops mechanisms aimed at resistance to the host’s immune response, which is determinant for virulence. We investigated the transcriptional changes involved in this cellular remodeling and found an upregulation of transcripts related to ribosome biogenesis at the beginning (6 h) of infection and a later (10 days) upregulation of transcripts involved in the inositol pathway, energy production, and the proteasome. Consistent with a role for the proteasome, we found that its inhibition delayed cell remodeling during infection with the H99 strain. Altogether, these results further our understanding of the infection biology of C. neoformans and provide perspectives to support therapeutic and diagnostic targets for cryptococcosis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.