Evidence map›Paper›PMID 40411399›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Multi-Omics and -Organ Insights into Energy Metabolic Adaptations in Early Sepsis Onset.

Lin-Lin Xu, Zhengyuan Zhou, Sascha Schäuble, Wolfgang Vivas, Karen Dlubatz, Michael Bauer, Sebastian Weis, Mervyn Singer, Roman Lukaszewski, Gianni Panagiotou

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Multi-Omics and -Organ Insights into Energy Metabolic Adaptations in Early Sepsis Onset.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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

10 authors.

Lin-Lin XuMicrobiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology- Hans Knöll Institute, 07745, Jena, Germany.
Zhengyuan ZhouMicrobiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology- Hans Knöll Institute, 07745, Jena, Germany.
Sascha SchäubleMicrobiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology- Hans Knöll Institute, 07745, Jena, Germany.
Wolfgang VivasDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, 07747, Jena, Germany.
Karen DlubatzDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, 07747, Jena, Germany.
Michael BauerDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, 07747, Jena, Germany.
Sebastian WeisDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, 07747, Jena, Germany.
Mervyn SingerBloomsbury Institute of Intensive Care Medicine, Division of Medicine, University College London, London, NW1 2BU, UK.
Roman LukaszewskiBloomsbury Institute of Intensive Care Medicine, Division of Medicine, University College London, London, NW1 2BU, UK.
Gianni PanagiotouMicrobiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology- Hans Knöll Institute, 07745, Jena, Germany.ORCID https://orcid.org/0000-0001-9393-124X

Funding

Interdisziplinäres Zentrum für Klinische Forschung, Universitätsklinikum Jena project number MSP19Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie - Hans-Knöll-InstitutResearch Grants Council, University Grants Committee 5/2019-4/2027
6 · The paper itself

Abstract

Systemic metabolic dysregulation in sepsis critically impacts patient survival. To better understand its onset, untargeted serum metabolomics and lipidomics are analyzed from 152 presymptomatic patients undergoing major elective surgery, and identified key metabolites, including serine and aminoadipic acid, that differentiate postoperative uncomplicated infection from sepsis. Using single-nucleus RNA sequencing data from an in vivo mouse model of sepsis, tissue-independent down-regulation and tissue-specific differences of serine and energy-related genes including key module roles for the mitochondria-linked genes, Cox4i1, Cox8a, and Ndufa4 are identified. Finally, serine-dependent metabolic shifts, especially in the liver, are revealed by using

Indexed as

Energy MetabolismMetabolomicsSepsisAdaptation, PhysiologicalAgedAnimalsDisease Models, AnimalFemaleHumansMaleMiceMiddle AgedMitochondriaMultiomicscell–cell communicationenergy imbalancelipid metabolismmetabolic modelingsepsis biomarkerssingle‐nucleus RNA sequencing (snRNA‐Seq)

Identifiers

PMID40411399
PMCPMC12376650

What Socratic holds

Textmetadata
LicenceCC BY
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.