ReviewTrends in immunology2023
Macrophage states: there's a method in the madness.
Review in Trends in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed.
- Harnessing macrophage signaling pathways and scalable engineering for next-generation immunotherapies.Signal transduction and targeted therapy · 2026Review
- CircSMAD4 shapes matrix-remodeling TAMs in lung adenocarcinoma.Non-coding RNA research · 2026Article
- Capturing the dynamics of STAT6 macrophage polarization using bioluminescence temporal signatures.Cell systems · 2026Article
- Integrated Transcriptomic Analysis Suggests a C1Q-Related Macrophage-Fibroblast Signaling Axis in Keloids.International journal of molecular sciences · 2026Article
- ZNF831 suppresses triple-negative breast cancer progression through NLRP3-associated pyroptotic signaling and M1-like macrophage phenotypic remodeling.Breast cancer research : BCR · 2026Article
- Characterizing Infiltrating Macrophages in Intracranial Aneurysm with IA Animal Models and Spatial Transcriptomics.Translational stroke research · 2026Review
- RAW 264.7 macrophage cell line as a metabolomic model for analyzing and understanding inflammation processes.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- ADAR1 Controls Macrophage Scavenging and Lipid-Buffering Programs in Metabolic Tissues.European journal of immunology · 2026Article
- ZXDB Drives Macrophage Inflammatory Programming in Sepsis-Induced Acute Kidney Injury by Recruiting EIF4A3 to Enhance ACACA Translation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Article
- Single-Cell Insights Into Macrophage Subtypes in Pulmonary Infections.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Exploring macrophage polarization: biological insights, key laboratory techniques and research perspectives.Frontiers in immunology · 2026Review
- Engineering nanoparticles for macrophage reprogramming in chronic inflammatory diseases: current advances, challenges, and future perspectives.Frontiers in bioengineering and biotechnology · 2026Review
- Immunity and Beyond: Emerging Roles of Monocytes and Macrophages in Cancer.Advances in experimental medicine and biology · 2026Review
- Macrophage spatiotemporal plasticity in pulmonary diseases: decoding the niche at single-cell resolution.Frontiers in immunology · 2026Review
- Lesion-specific features of macrophage polarization contribute toFrontiers in immunology · 2026Article
- Distinct colitis-associated macrophages drive NOD2-dependent bacterial sensing and gut homeostasis.The Journal of clinical investigation · 2025Article
- Integrative analysis of spatiotemporal transcriptomics delineates dynamic cell states in squamous tumorigenesis.bioRxiv : the preprint server for biology · 2025Article
- Mature and migratory dendritic cells promote immune infiltration and response to anti-PD-1 checkpoint blockade in metastatic melanoma.Nature communications · 2025Article
- Advancing tendon healing through nanoparticle-based drug delivery systems.Nanomedicine (London, England) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Single-cell approaches have shone a spotlight on discrete context-specific tissue macrophage states, deconstructed to their most minute details. Machine-learning (ML) approaches have recently challenged that dogma by revealing a context-agnostic continuum of states shared across tissues. Both approaches agree that 'brake' and 'accelerator' macrophage subpopulations must be balanced to achieve homeostasis. Both approaches also highlight the importance of ensemble fluidity as subpopulations switch between wide ranges of accelerator and brake phenotypes to mount the most optimal wholistic response to any threat. A full comprehension of the rules that govern these brake and accelerator states is a promising avenue because it can help formulate precise macrophage re-education therapeutic strategies that might selectively boost or suppress disease-associated states and phenotypes across various tissues.
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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.