ArticleFrontiers in cellular and infection microbiology2023
Unravelling potential biomarkers for acute and chronic brucellosis through proteomic and bioinformatic approaches.
Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Host and Pathogen Genetic Determinants of Brucellosis in Veterinary-One Health Interface: A Review.Veterinary sciences · 2026Review
- Diagnostic Value of Mean Platelet Volume and Hematological Inflammatory Ratios in Brucellosis: A Case-Control Study.Life (Basel, Switzerland) · 2026Article
- Comprehensive analysis of molecular immunological characteristics and potential biomarkers in brucellosis.Frontiers in immunology · 2026Article
- A preliminary study of serum metabolomic profiling in male patients with acute brucellosis.Scientific reports · 2025Article
- Proteomic insights into molecular alterations associated with Kawasaki disease in children.Italian journal of pediatrics · 2025Article
- Machine learning-based prediction model for chronic brucellosis: a multi-feature approach using clinical and laboratory data.Frontiers in cellular and infection microbiology · 2025Article
- Establishment and application of a TaqMan-based quantitative PCR assay for simultaneous detection of bovineFrontiers in microbiology · 2025Article
- Unraveling brucellosis: advances in pathogenesis, diagnostic strategies, therapeutic innovations, and public health perspectives.Frontiers in medicine · 2025Review
- Analysis and validation of serum biomarkers in brucellosis patients through proteomics and bioinformatics.Frontiers in cellular and infection microbiology · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: This study aimed to identify biomarkers for acute and chronic brucellosis using advanced proteomic and bioinformatic methods. Methods: Blood samples from individuals with acute brucellosis, chronic brucellosis, and healthy controls were analyzed. Proteomic techniques and differential expression analysis were used to identify differentially expressed proteins. Co-expression modules associated with brucellosis traits were identified using weighted gene co-expression network analysis (WGCNA). Results: 763 differentially expressed proteins were identified, and two co-expression modules were found to be significantly associated with brucellosis traits. 25 proteins were differentially expressed in all three comparisons, and 20 hub proteins were identified. Nine proteins were found to be both differentially expressed and hub proteins, indicating their potential significance. A random forest model based on these nine proteins showed good classification performance. Discussion: The identified proteins are involved in processes such as inflammation, coagulation, extracellular matrix regulation, and immune response. They provide insights into potential therapeutic targets and diagnostic biomarkers for brucellosis. This study improves our understanding of brucellosis at the molecular level and paves the way for further research in targeted therapies and diagnostics.
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Registered trials
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.