Evidence map›Paper›PMID 41737250›Full record

ArticleJournal of inflammation research2026

Identification of Monocyte CD11c as a Potential Biomarker for Distinguishing Sepsis From Non-Infectious Inflammation and Predicting the Outcome of Sepsis.

Limin Kong, Yujun Zhou, Dawei Li, Ning Hua, Yanfang Zhang, Hangyang Li, Peili Ding, Yuyu Nan, Hua Zhou, Ping Yang and 8 more

Abstract read
In one paragraph

Article in Journal of inflammation research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

18 authors.

Limin Kong *Department of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Yujun Zhou *Department of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Dawei Li *College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, People's Republic of China.
Ning HuaDepartment of Biophysics, and Department of Neurology of The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, People's Republic of China.
Yanfang ZhangDepartment of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Hangyang LiDepartment of Intensive Care Unit, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Peili DingDepartment of Intensive Care Unit, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Yuyu NanDepartment of Intensive Care Unit, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Hua ZhouDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.ORCID 0000-0001-6397-3203
Ping YangDepartment of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Wuping ShuaiDepartment of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Sheng ZhangDepartment of Intensive Care Unit, Taizhou Hospital of Zhejiang Province, Taizhou, People's Republic of China.
Yuanzhi JuDepartment of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Xiaohui YangSchool of Pharmacy, Hangzhou Normal University, Hangzhou, People's Republic of China.
Jiasheng SongSchool of Pharmacy, Hangzhou Normal University, Hangzhou, People's Republic of China.
Xuesong LiuCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, People's Republic of China.
Wenqiao YuDepartment of Intensive Care Unit, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Saiping JiangDepartment of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate whether monocyte CD11c (mCD11c) can serve as a promising biomarker for the diagnosis and prognosis of sepsis, distinguishing it from non-infectious inflammatory conditions. Methods: A prospective, observational cohort study was conducted using a discovery cohort (sepsis, mild infection, patients after cardiovascular surgery, recovered sepsis patients, and healthy controls) and a validation cohort (sepsis, mild infection, and patients after cardiovascular surgery). Peripheral blood samples were analyzed using Cytometry by Time-of-Flight (CyTOF), single-cell RNA sequencing, and flow cytometry to assess the immune cell composition and mCD11c expression. Clinical data and outcomes were collected for analysis. Results: The discovery cohort showed a significant downregulation of mCD11c in patients with sepsis. The validation cohort confirmed a lower mCD11c% in sepsis than in the other groups. Receiver operating characteristic (ROC) curve analysis showed that mCD11c had a higher AUC (0.939, Conclusion: mCD11c is a promising biomarker for early sepsis diagnosis and short-term survival prediction, outperforming the traditional markers. Larger multicenter studies are needed to validate these findings and to explore their potential as intervention targets.

Indexed as

biomarkerdiagnostic valuemonocyte CD11csepsissurvival prognosis

Identifiers

PMID41737250
PMCPMC12927843

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.