RevieweLife2025
Trained Immunity: RoadMap for drug discovery and development.
Review in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Drugging trained immunity: immunometabolic and epigenetic control of maladaptive inflammatory memory in chronic inflammatory diseases.Immunologic research · 2026Review
- AI-driven big data analysis and predictive modeling of infectious disease immunity: from correlates to causal, multiscale understanding.Archives of microbiology · 2026Review
- Trained Immunity Induced by Vaccines: A Shifting Paradigm for Infant and Adult Immunity.International journal of molecular sciences · 2026Review
- Tissue context as a determinant of trained innate immunity: a conserved molecular toolkit with divergent functional outputs.Journal of leukocyte biology · 2026Review
- Trained Immunity in Autoimmunity: Friend, Foe, or Therapeutic Target?Biomedicines · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Trained Immunity is the nonspecific (pathogen agnostic) memory of innate immune cells, characterized by altered responses upon secondary stimulation. This review provides a RoadMap for the discovery and development of therapeutics targeting Trained Immunity, aimed at researchers with strong scientific backgrounds but limited drug development experience. The article outlines five drug development domains - epigenetic, metabolic, differentiation, inflammatory, and memory changes - that guide the identification of molecular targets, model selection, and biomarker development for the discovery and development of Trained Immunity-based therapeutics. It emphasizes the application of preclinical models and artificial intelligence in target discovery and compound screening. Additionally, the review addresses challenges in translating preclinical Trained Immunity findings to clinical trials and highlights relevant disease indications and ongoing clinical trials. This review integrates scientific findings with development strategy and thereby aims to bridge the gap between discovery and clinical application, advancing the field of Trained Immunity-based therapeutics.
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.