Evidence map›Paper›PMID 42106604›Full record

ArticleBMC infectious diseases2026

Longitudinal blood transcriptome profiling reveals immune dynamics in sepsis.

Jinha Hwang, Jae Hyun Cha, Sejoong Ahn, Jong-Hak Park, Sua Kim, Minsuk Jung, Yunsang Choi, Hyeri Seok, Won Suk Choi, Myung-Hyun Nam and 1 more

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Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Jinha Hwang *Division of Diagnostic Hematology, Department of Laboratory Medicine, Korea University Anam Hospital, 73 Korea-daero, Seongbuk-gu, Seoul, 02841, Republic of Korea.
Jae Hyun Cha *Division of Diagnostic Hematology, Department of Laboratory Medicine, Korea University Anam Hospital, 73 Korea-daero, Seongbuk-gu, Seoul, 02841, Republic of Korea.
Sejoong AhnDepartment of Emergency Medicine, Korea University Ansan Hospital, Ansan, 15355, Republic of Korea.
Jong-Hak ParkDepartment of Emergency Medicine, Korea University Ansan Hospital, Ansan, 15355, Republic of Korea.
Sua KimDepartment of Critical Care Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, 15355, Republic of Korea.
Minsuk JungDivision of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, 123 Jeukgeum-ro, Danwon-gu, Ansan, 15355, Republic of Korea.
Yunsang ChoiDivision of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, 123 Jeukgeum-ro, Danwon-gu, Ansan, 15355, Republic of Korea.
Hyeri SeokDivision of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, 123 Jeukgeum-ro, Danwon-gu, Ansan, 15355, Republic of Korea.
Won Suk ChoiDivision of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, 123 Jeukgeum-ro, Danwon-gu, Ansan, 15355, Republic of Korea.
Myung-Hyun NamDivision of Diagnostic Hematology, Department of Laboratory Medicine, Korea University Anam Hospital, 73 Korea-daero, Seongbuk-gu, Seoul, 02841, Republic of Korea. yuret@korea.ac.kr.
Dae Won ParkDivision of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, 123 Jeukgeum-ro, Danwon-gu, Ansan, 15355, Republic of Korea. pugae1@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is a life-threatening condition caused by a dysregulated host response to infection, with significant biological heterogeneity. Transcriptomic profiling offers insights into immune-related gene expression patterns that may inform patient stratification. This study aimed to identify transcriptomic signatures of sepsis or septic shock.

methodEleven adult patients who presented to the emergency department with sepsis or septic shock were enrolled at a tertiary hospital in Korea. Serial whole-blood samples were collected on days 1, 3, and 7. RNA sequencing was performed using Illumina paired-end protocols. Principal component analysis (PCA) was performed on normalized transcriptomic data to derive a gene signature. Enrichment scores were calculated using single-sample gene set enrichment analysis and validated in external bulk and single-cell RNA-seq datasets.

resultsPCA identified first principal component (PC1) as the major axis of variation, separating samples by sepsis severity and timepoint. Clustering of the top 50 PC1 contributing genes identified three transcriptomic subgroups with distinct expression patterns. Enrichment scores for this gene set increased with severity and declined over time. In multiple external sepsis cohorts, enrichment scores showed consistent trends and were significantly associated with 28-day mortality. Functional analysis revealed predominant neutrophil-associated pathways, as further supported by external single-cell RNA-seq validation.

conclusionsWe identified a neutrophil-driven transcriptomic signature associated with sepsis severity and temporal immune dynamics. These findings suggest that longitudinal transcriptomic profiling may provide additional insight into the evolving host immune response during sepsis.

Indexed as

Gene Expression ProfilingSepsisTranscriptomeAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedNeutrophilsPrincipal Component AnalysisRepublic of KoreaShock, SepticBiomarkersNeutrophilsRNA-seqSepsisTranscriptomics

Identifiers

PMID42106604
PMCPMC13335145

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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 OpenQuestion graph.