Evidence map›Paper›PMID 42878083›Full record

ReviewThe Journal of clinical investigation2026

Sepsis-associated endothelial dysfunction: clinical phenotypes, biomarkers, bedside evidence, and translational implications.

Song Qin, Ninan Dai, Fengyun Xu, Cindy Zhuang, Judith Hellman

Abstract readReview
In one paragraph

Review in The Journal of clinical investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Song QinDepartment of Anesthesia and Perioperative Care, UCSF School of Medicine, San Francisco, California, USA.
Ninan DaiDepartment of Critical Care Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Fengyun XuDepartment of Anesthesia and Perioperative Care, UCSF School of Medicine, San Francisco, California, USA.
Cindy ZhuangDepartment of Anesthesia and Perioperative Care, UCSF School of Medicine, San Francisco, California, USA.
Judith HellmanDepartment of Anesthesia and Perioperative Care, UCSF School of Medicine, San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a systemic vascular disorder in which endothelial activation, dysfunction, and structural injury contribute to shock, microcirculatory failure, immunothrombosis, and multiorgan dysfunction. Sepsis-associated endotheliopathy is not a uniform process but a dynamic trajectory that evolves from adaptive endothelial activation toward functional disruption, structural injury, and organ-specific vascular failure. In this Review, we propose a phenotype- and trajectory-oriented framework that integrates clinical manifestations, molecular mechanisms, and translational assessment of endothelial dysfunction in sepsis. We focus on four major clinically recognizable modes of endothelial dysfunction that often overlap and evolve over the course of sepsis. We further discuss biology-anchored biomarker panels, bedside physiological surrogates, and serial trajectory-based assessment as complementary approaches for identifying endothelial states, refining risk stratification, and guiding future precision strategies. Finally, we describe implications for biomarker-enriched clinical trials, microvascular-informed resuscitation, and endotype-guided endothelial cell-targeted therapies. Viewing sepsis through the lens of dynamic endotheliopathy provides a framework linking vascular biology to clinically interpretable trajectories and may facilitate the development of personalized approaches to endothelial cell-directed care.

Indexed as

Endothelium, VascularSepsisAnimalsBiomarkersHumansPhenotypeTranslational Research, BiomedicalBiomarkers

Identifiers

PMID42878083
PMCPMC13668622

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.