ReviewEBioMedicine2026
Sepsis modelling: current approaches and organ-on-chip perspectives.
Review in EBioMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Mitochondria-Macrophage Interactions in Sepsis at Different Immune Stages: Integrating Immunometabolic Reprogramming, Organ Damage, and Therapeutic Strategies.Journal of inflammation research · 2026Review
- Crosstalk between innate immune signaling pathways and integrated TLR, NLRP3 inflammasome, cGAS-STING, and NF-κB networks in sepsis.Frontiers in cell and developmental biology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis is a complex life-threatening condition involving immune dysregulation, endothelial dysfunction, and multi-organ failure. To investigate molecular and systemic processes driving disease progression, in vitro, in vivo, and ex vivo experimental methods have been developed. While these systems have advanced understanding of immune activation, cytokine signalling, and organ injury, differences in complexity, reproducibility, and alignment with human pathophysiology have limited the translation of many promising preclinical findings into clinical success. This review examines current literature on sepsis systems, evaluating them in terms of biological complexity, reproducibility, ethical constraints, and clinical applicability. In parallel, it discusses the potential use of microfluidic technology, particularly organ-on-chip, in replicating human physiology and capturing key features of sepsis. By comparing conventional and advanced systems, this review outlines challenges in sepsis research and identifies key directions for a more integrated approach to sepsis modelling, aiming to improve translational outcomes and therapeutic discovery. We aim to provide a structured basis for comparing models when selecting approaches for a given question or candidate therapy.
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.