Evidence map›Paper›PMID 41324739›Full record

ReviewMolecular biology reports2025

Sepsis-associated immunosuppression: mechanistic Insights, Biomarkers, and therapeutic perspectives.

Mehmet Akif Ovali, Sevval Percin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
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

2 authors.

Mehmet Akif OvaliFaculty of Medicine, Department of Physiology, Çanakkale Onsekiz Mart University, Çanakkale, Türkiye, Turkey. maovali@comu.edu.tr.
Sevval PercinFaculty of Medicine, Department of Physiology, Çanakkale Onsekiz Mart University, Çanakkale, Türkiye, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is recognized as a major global health concern, characterized by a dysregulated and uncontrolled host response to infection that results in organ dysfunction and high mortality. Clinically, the course of sepsis typically begins with an intense hyperinflammatory phase, which is often followed by an immunosuppressive stage in many patients. This immunosuppressive state significantly increases susceptibility to secondary infections, complicates treatment, and worsens overall survival. The immunopathogenesis of sepsis-associated immune dysfunction involves profound alterations in immune cells, particularly monocytes, macrophages, and T lymphocytes. In addition, metabolic reprogramming through signaling pathways such as mTOR, AMPK, and PI3K-Akt contributes to the imbalance of immune responses and the deepening of immunosuppression. Currently, biomarkers such as HLA-DR expression are employed to monitor immune status and to predict clinical outcomes in septic patients. From a therapeutic perspective, the use of immunostimulatory agents, biomarker-guided monitoring, and personalized immunomodulatory strategies has gained increasing attention. Recent clinical and experimental findings suggest that these approaches may help restore immune competence and improve patient outcomes. The aim of this review is to provide a comprehensive synthesis of current knowledge regarding the cellular, molecular, and metabolic mechanisms underlying sepsis-associated immunosuppression and to discuss their potential implications for the development of targeted therapeutic strategies.

Indexed as

Immune ToleranceImmunosuppression TherapySepsisAnimalsBiomarkersHumansSignal TransductionT-LymphocytesBiomarkersImmune monitoringImmunosuppressionImmunotherapyMonocyte dysfunctionSepsis

Identifiers

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.