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Machine learning identifies PPARG as a diagnostic biomarker for sepsis linked to CD14/NF-κB signaling: integrated transcriptomics and experimental validation.

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Title: Machine learning identifies PPARG as a diagnostic biomarker for sepsis linked to CD14/NF-κB signaling: integrated transcriptomics and experimental validation.
Authors: Ji Y; Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China., Xiao X; Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China., Li Y; Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China., Meng H; Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China., Huang F; Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China., Wang J; Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Source: Frontiers in cellular and infection microbiology [Front Cell Infect Microbiol] 2026 May 28; Vol. 16, pp. 1800050. Date of Electronic Publication: 2026 May 28 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101585359 Publication Model: eCollection Cited Medium: Internet ISSN: 2235-2988 (Electronic) Linking ISSN: 22352988 NLM ISO Abbreviation: Front Cell Infect Microbiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine learning identifies PPARG as a diagnostic biomarker for sepsis linked to CD14/NF-κB signaling: integrated transcriptomics and experimental validation.
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  Data: <searchLink fieldCode="AU" term="%22Ji+Y%22">Ji Y</searchLink>; Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.<br /><searchLink fieldCode="AU" term="%22Xiao+X%22">Xiao X</searchLink>; Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.<br /><searchLink fieldCode="AU" term="%22Meng+H%22">Meng H</searchLink>; Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.<br /><searchLink fieldCode="AU" term="%22Huang+F%22">Huang F</searchLink>; Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
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  Data: <searchLink fieldCode="JN" term="%22101585359%22">Frontiers in cellular and infection microbiology</searchLink> [Front Cell Infect Microbiol] 2026 May 28; Vol. 16, pp. 1800050. <i>Date of Electronic Publication: </i>2026 May 28 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+SA%22">Frontiers Media SA </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101585359 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2235-2988 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222352988%22">22352988 </searchLink><i>NLM ISO Abbreviation: </i>Front Cell Infect Microbiol <i>Subsets: </i>MEDLINE
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        Value: 10.3389/fcimb.2026.1800050
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              Text: 2026 May 28
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