Evidence map›Paper›PMID 40998960›Full record

ArticleScientific reports2025

Single-Cell transcriptomic profiles of peripheral blood immune cells reveal early monocyte and platelet activation in the transition from high-risk states to clinical sepsis.

Lanlan Sun, Peng Zhang, Haikun Zhang, Hailang Fan, Yansheng Li, Yaqian Zhao, Mengtong Wang, Yingdi Huang, Mingyang Liu, Dake Zhang and 1 more

Abstract read
In one paragraph

Article in Scientific 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
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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

11 authors.

Lanlan Sun *Key Laboratory of Biomechanics and Mechanobiology (Ministry of Education), Key Laboratory of Innovation and Transformation of Advanced Medical Devices (Ministry of Industry and Information Technology), National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Engineering Medicine, Beihang University, Beijing, 100191, People's Republic of China.
Peng Zhang *Department of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, People's Republic of China.
Haikun ZhangCenter for Human Genomics and Precision Medicine, Department of Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA.
Hailang FanKey Laboratory of Biomechanics and Mechanobiology (Ministry of Education), Key Laboratory of Innovation and Transformation of Advanced Medical Devices (Ministry of Industry and Information Technology), National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Engineering Medicine, Beihang University, Beijing, 100191, People's Republic of China.
Yansheng LiDepartment of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, People's Republic of China.
Yaqian ZhaoKey Laboratory of Biomechanics and Mechanobiology (Ministry of Education), Key Laboratory of Innovation and Transformation of Advanced Medical Devices (Ministry of Industry and Information Technology), National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Engineering Medicine, Beihang University, Beijing, 100191, People's Republic of China.
Mengtong WangDepartment of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, People's Republic of China.
Yingdi HuangKey Laboratory of Biomechanics and Mechanobiology (Ministry of Education), Key Laboratory of Innovation and Transformation of Advanced Medical Devices (Ministry of Industry and Information Technology), National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Engineering Medicine, Beihang University, Beijing, 100191, People's Republic of China.
Mingyang LiuDepartment of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, People's Republic of China.
Dake ZhangKey Laboratory of Biomechanics and Mechanobiology (Ministry of Education), Key Laboratory of Innovation and Transformation of Advanced Medical Devices (Ministry of Industry and Information Technology), National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Engineering Medicine, Beihang University, Beijing, 100191, People's Republic of China. dakezhang@buaa.edu.cn.
Xin ZhangDepartment of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, People's Republic of China. zhangxin19731@hotmail.com.

Funding

Beijing Nova Program NO.20240484538Higher Education Discipline Innovation Project 111 Project No. B13003
6 · The paper itself

Abstract

Sepsis, due to dysregulated host responses to infection, demands early intervention. Nevertheless, it is challenging to identify immune changes in the transition from high-risk states to sepsis, which remains unclear. Here, we profiled the single-cell transcriptome of peripheral blood immune cells in healthy controls, high-risk individuals, and clinical sepsis patients to characterize the transcriptomic reprogramming featured by the monocyte and platelet activation across sepsis progression. Particularly, a core gene set (S100A8, S100A9, IFITM2, IFITM3) showed significant upregulation in monocytes in both the high-risk stage and clinical sepsis. Moreover, platelets also exhibited early activation of coagulation and inflammatory pathways, notably sharing this core gene set upregulation. We further analyzed Single-cell RNA Sequencing (scRNA-seq) data from independent cohorts of very preterm infants with sepsis and elderly patients with diabetes. The consistent, early, and persistent upregulation of the S100A8/A9 and IFITM2/3 monocyte signature was strikingly observed across these diverse, high-risk populations. This study provides novel single-cell insights into immune dysregulation during sepsis onset, pinpointing specific transcriptomic signatures in monocytes and platelets emerging during the high-risk phase.

Indexed as

Leukocytes, MononuclearMonocytesPlatelet ActivationSepsisSingle-Cell Gene Expression AnalysisBlood PlateletsHumansTranscriptomeHigh-RiskMonocytePlateletSepsisSingle-cell RNA sequencing (scRNA-seq)

Identifiers

PMID40998960
PMCPMC12464160

What OpenQuestion holds

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Registered trials

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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.