Evidence map›Paper›PMID 38397416›Full record

ArticleBiomolecules2024

Identifying

Yihao Zhu, Bin Chen, Yao Zu

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Public Transcriptomic Data Mining for SCLC: From Candidate Ma rkers to Therapeutic Exploration.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

3 authors at 2 institutions in 1 country.

Yihao ZhuInternational Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Bin ChenDepartment of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Lin-gang), Shanghai 201306, China.
Yao ZuInternational Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0001-8081-9136
Shanghai Ocean University · CNShanghai Jiao Tong University · CN

Funding

Chenguang Program from the Shanghai Education Committee 14CG49National Natural Science Foundation of China 31501166National Natural Science Foundation of China 32170423Shanghai Sailing Program of Science and Technology Commission of Shanghai Municipality 15YF1405000
6 · The paper itself

Abstract

backgroundThe pathophysiologic heterogeneity of heart failure (HF) necessitates a more detailed identification of diagnostic biomarkers that can reflect its diverse pathogenic pathways.

methodsWe conducted weighted gene and multiscale embedded gene co-expression network analysis on differentially expressed genes obtained from HF and non-HF specimens. We employed a machine learning integration framework and protein-protein interaction network to identify diagnostic biomarkers. Additionally, we integrated gene set variation analysis, gene set enrichment analysis (GSEA), and transcription factor (TF)-target analysis to unravel the biomarker-dominant pathways. Leveraging single-sample GSEA and molecular docking, we predicted immune cells and therapeutic drugs related to biomarkers. Quantitative polymerase chain reaction validated the expressions of biomarkers in the plasma of HF patients. A two-sample Mendelian randomization analysis was implemented to investigate the causal impact of biomarkers on HF.

resultsWe first identified

conclusionsWe propose

Indexed as

Heart FailureMachine LearningBiomarkersCaptoprilCarrier ProteinsExtracellular Matrix ProteinsGlycoproteinsHumansIntercellular Signaling Peptides and ProteinsMolecular Docking SimulationOxidative PhosphorylationBiomarkersCaptoprilCarrier ProteinsExtracellular Matrix ProteinsGlycoproteinsIntercellular Signaling Peptides and ProteinsMFAP4 protein, humanOGN protein, humanbioinformaticsdiagnostic biomarkerheart failurepathogenic mechanism

Identifiers

PMID38397416
PMCPMC10886937
OpenAlexW4391470329

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.