Long non-coding RNAs as key regulators in sepsis: from immune response to organ dysfunction

Sepsis remains a leading cause of morbidity and mortality in intensive care units worldwide, driven by a dysregulated host response to infection that culminates in multi-organ dysfunction. Current diagnostic biomarkers and therapeutic strategies lack the needed sensitivity, specificity and efficacy, underscoring an urgent need for novel molecular insights. Long non-coding RNAs (lncRNAs), a diverse class of transcripts exceeding 200 nucleotides without protein-coding capacity, have emerged as pivotal regulators of sepsis pathophysiology. They orchestrate immune responses, inflammatory cascades, cellular apoptosis, metabolic reprogramming and the lethal cross-talk among diverse cell death pathways. Through intricate interactions with DNA, RNA and proteins, lncRNAs also drive organ-specific injury via distinct cell-type specific mechanisms. Specific lncRNAs, including NEAT1, MALAT1 and GAS5, are deeply implicated in disease onset, progression and prognosis, highlighting their potential as both biomarkers and therapeutic targets. In this review, we synthesize current evidence on the roles of lncRNAs in immune modulation, organ dysfunction and metabolic regulation during sepsis. We also evaluate their promise in diagnosis, prognosis and therapy, and discuss major translational barriers, such as physicochemical instability, poor permeability and disease heterogeneity, that must be overcome for clinical application. A deeper understanding of these molecules may unlock novel strategies for the early diagnosis, prognosis, and treatment of sepsis.

Authors

Institutions

Publication Details

Journal
European journal of medical research
Published
2026-02-09
DOI
https://doi.org/10.1186/s40001-026-04018-3
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Long non-coding RNAs as key regulators in sepsis: from immune response to organ dysfunction

Zhengjun Liu, Guiyang Yu, Jian Xue, Yumei Zhang
European journal of medical research
Cancer-related molecular mechanisms research
article

Long non-coding RNAs as key regulators in sepsis: from immune response to organ dysfunction

Zhengjun Liu, Guiyang Yu, Jian Xue, Yumei Zhang
article en

Abstract

Sepsis remains a leading cause of morbidity and mortality in intensive care units worldwide, driven by a dysregulated host response to infection that culminates in multi-organ dysfunction. Current diagnostic biomarkers and therapeutic strategies lack the needed sensitivity, specificity and efficacy, underscoring an urgent need for novel molecular insights. Long non-coding RNAs (lncRNAs), a diverse class of transcripts exceeding 200 nucleotides without protein-coding capacity, have emerged as pivotal regulators of sepsis pathophysiology. They orchestrate immune responses, inflammatory cascades, cellular apoptosis, metabolic reprogramming and the lethal cross-talk among diverse cell death pathways. Through intricate interactions with DNA, RNA and proteins, lncRNAs also drive organ-specific injury via distinct cell-type specific mechanisms. Specific lncRNAs, including NEAT1, MALAT1 and GAS5, are deeply implicated in disease onset, progression and prognosis, highlighting their potential as both biomarkers and therapeutic targets. In this review, we synthesize current evidence on the roles of lncRNAs in immune modulation, organ dysfunction and metabolic regulation during sepsis. We also evaluate their promise in diagnosis, prognosis and therapy, and discuss major translational barriers, such as physicochemical instability, poor permeability and disease heterogeneity, that must be overcome for clinical application. A deeper understanding of these molecules may unlock novel strategies for the early diagnosis, prognosis, and treatment of sepsis.

European journal of medical researchVol. 31(1)
Northern Jiangsu People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 63%
Cancer-related molecular mechanisms research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.