Evidence map›Paper›PMID 41399355›Full record

ArticleMaterials today. Bio2025

Hollow CuS nanocubes enhance serum metabolic profiles for rapid diagnosis and severity grading of traumatic brain injury.

Lei Shi, Ping Yuan, Jiaxin Hou, Junxi Pan, Kejia Cao, Yanhui Wang, Si Cheng, Xuting Shen, Yongli Yang, Nengrui Guo and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Lei ShiThe Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
Ping YuanDepartment of Cardio-Pulmonary Circulation, Innovation and Incubation Center (IIC), Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Jiaxin HouSchool of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, China.
Junxi PanDepartment of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University & Yunnan Province Clinical Research Center for Laboratory Medicine, Kunming, 650032, China.
Kejia CaoInstitute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200241, China.
Yanhui WangSchool of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, China.
Si ChengDepartment of Clinical Laboratory, Shuguang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Shanghai, 201203, China.
Xuting ShenDepartment of Clinical Laboratory, Shuguang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Shanghai, 201203, China.
Yongli YangThe Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
Nengrui GuoThe Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
Yizhen PanThe Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
Rongxin LiSchool of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, China.
Weian YuanClinical Research Center, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Lijun BaiThe Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic brain injury (TBI) remains a significant global health burden and demands rapid, objective diagnostics that work outside imaging suites and intensive lab workflows. Here, we developed a copper sulfide (CuS) nanocube-assisted laser desorption/ionization mass spectrometry (LDI-MS) platform to acquire serum metabolic profiles (SMPs) with high sensitivity, low background in the low-m/z region, and excellent reproducibility for TBI diagnosis and severity grading. Using this platform, we profiled serum from individuals with TBI and healthy controls and achieved high-accuracy discrimination of TBI from Healthy Controls (HCs) (AUC = 0.999 in both training and independent test sets). The model further enabled reliable grading between mild and severe TBI. Feature selection yielded a panel of discriminative

Identifiers

PMID41399355
PMCPMC12702368

What Socratic 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 Socratic graph.