Evidence map›Paper›PMID 40447567›Full record

ArticleNature communications2025

Integrated plasma and vegetation proteomic characterization of infective endocarditis for early diagnosis and treatment.

Shiman He, Xuejiao Hu, Jiajun Zhu, Weiteng Wang, Chi Ma, Peng Ran, Oudi Chen, Fanyu Chen, Hongkun Qing, Jianhong Ma and 11 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. 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

21 authors.

Shiman He *Clinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.
Xuejiao Hu *Department of Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jiajun Zhu *Clinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.
Weiteng Wang *Department of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0000-0001-6480-9325
Chi Ma *Clinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.
Peng Ran *Clinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.
Oudi ChenDepartment of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Fanyu ChenDepartment of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0000-0001-6450-0344
Hongkun QingDepartment of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jianhong MaDepartment of Laboratory Medicine, Heyuan People's Hospital, Heyuan, China.
Danni ZengDepartment of Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yunzhi WangClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-1086-8896
Weijiang LiuDepartment of Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jinwen FengClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-1683-4280
Lixi GanDepartment of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Zhaoyu QinClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-4437-0268
Subei TanClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-9869-6074
Sha TianClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-4407-8873
Chen DingClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China. chend@fudan.edu.cn.ORCID http://orcid.org/0000-0001-8673-3464
Xuhua JianDepartment of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. jianxuhua@gdph.org.cn.ORCID http://orcid.org/0000-0002-8863-6665
Bing GuDepartment of Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. gubing@gdph.org.cn.ORCID http://orcid.org/0000-0001-7764-3213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infective endocarditis, a life-threatening condition, poses challenges for early diagnosis and personalized treatment due to insufficient biomarkers and limited understanding of its pathophysiology. Here, we performed proteomic profiling of plasma and vegetation samples from 238 patients with infective endocarditis and 100 controls, with validation in two external plasma cohorts (n = 328). We developed machine learning-based diagnostic and prognostic models for infective endocarditis, with area under the curve values of 0.98 and 0.87, respectively. Leucine-rich alpha-2-glycoprotein 1 and NADH:ubiquinone oxidoreductase subunit B4 are potential biomarkers associated with infection severity. Pathologically, protein networks characterized by glycometabolism, amino acid metabolism, and adhesion are linked to adverse events. Liver dysfunction may exacerbate the condition in patients with severe heart failure. Neutrophil extracellular traps emerge as promising therapeutic targets in Streptococcus or Staphylococcus aureus infections. Our findings provide insights into biomarker discovery and pathophysiological mechanisms in infective endocarditis, advancing early diagnosis and personalized medicine.

Indexed as

EndocarditisProteomicsAdultAgedBiomarkersEarly DiagnosisFemaleHumansMachine LearningMaleMiddle AgedPrognosisProteomeStaphylococcal InfectionsStaphylococcus aureusBiomarkersProteome

Identifiers

PMID40447567
PMCPMC12125238

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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.