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Transcriptome and Experimental Verification Identified Candidate Biomarkers Related to Mitochondrial Metabolism in Sepsis-Associated Encephalopathy.

Overview

Authors: Ran Zhou1, Hao Fang2,3, Herui Li1, Yunhui Zhang1, Xiaosan Su4
  1. Respiratory Department, The First People’s Hospital of Yunnan Province (The Affiliated Hospital of Kunming University of Science and Technology), Kunming, China
  2. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China
  3. Higher Educational Key Laboratory for Industrial Intelligence and Systems of Yunnan Province, Kunming University of Science and Technology, Kunming, China
  4. Scientific Research and Experimental Center, Yunnan University of Chinese Medicine, Kunming, China
Institutions: Kunming University of Science and Technology (China); First People's Hospital of Yunnan Province (China); Yunnan University of Traditional Chinese Medicine (China)
Journal: Shock (Augusta, Ga.), volume 66, issue 3, pages 848-862
Dates: received 22 February 2026; accepted 27 April 2026; published online 22 May 2026; in print September 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1097/shk.0000000000002867 · PMID 42172235 · PMCID PMC13456583 · OpenAlex W7162137802
Open access: hybrid, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), human (organism), mouse (organism), other condition (population)
Methods: Statistics, Machine learning, Preprocessing, Connectivity
Keywords: Biomarkers, machine learning, mitochondrial metabolism, immune infiltration, sepsis-associated encephalopathy
MeSH: Biomarkers*, Mitochondria*, Sepsis-Associated Encephalopathy*, Transcriptome*, Animals, Gene Expression Profiling, Humans, Mice (* major topic)
Topic: Neuroinflammation and Neurodegeneration Mechanisms (Neurology, Neuroscience), according to OpenAlex
Funding: Yunnan University; NIH Clinical Center
Citations: not cited yet (Europe PMC); 59 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Data

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Versions

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Version 2, 28 September 2026

  • Publisher: n/a → Lippincott Williams & Wilkins
  • Funding: added Yunnan University; NIH Clinical Center

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 5 keywords, 8 MeSH terms, 59 references.

Cite

This paper

Zhou, R., Fang, H., Li, H., Zhang, Y., & Su, X. (2026). Transcriptome and Experimental Verification Identified Candidate Biomarkers Related to Mitochondrial Metabolism in Sepsis-Associated Encephalopathy. Shock (Augusta, Ga.), 66(3), 848-862. https://doi.org/10.1097/shk.0000000000002867

BibTeX

@article{zhou2026transcriptome,
author = {Zhou, Ran and Fang, Hao and Li, Herui and Zhang, Yunhui and Su, Xiaosan},
title = {{Transcriptome and Experimental Verification Identified Candidate Biomarkers Related to Mitochondrial Metabolism in Sepsis-Associated Encephalopathy}},
journal = {Shock (Augusta, Ga.)},
year = {2026},
month = may,
volume = {66},
number = {3},
pages = {848--862},
publisher = {Lippincott Williams \& Wilkins},
issn = {1073-2322},
doi = {10.1097/shk.0000000000002867},
url = {https://doi.org/10.1097/shk.0000000000002867},
pmid = {42172235},
pmcid = {PMC13456583}
}

RIS

TY - JOUR
AU - Zhou, Ran
AU - Fang, Hao
AU - Li, Herui
AU - Zhang, Yunhui
AU - Su, Xiaosan
TI - Transcriptome and Experimental Verification Identified Candidate Biomarkers Related to Mitochondrial Metabolism in Sepsis-Associated Encephalopathy
T2 - Shock (Augusta, Ga.)
J2 - Shock
PY - 2026
DA - 2026/05/22
VL - 66
IS - 3
SP - 848
EP - 862
SN - 1073-2322
PB - Lippincott Williams & Wilkins
DO - 10.1097/shk.0000000000002867
UR - https://doi.org/10.1097/shk.0000000000002867
LA - en
ER -

CSL-JSON

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"container-title": "Shock (Augusta, Ga.)",
"author": [
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"family": "Zhou",
"given": "Ran"
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"ISSN": "1073-2322",
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"language": "en",
"issued": {
"date-parts": [
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}

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