ArticleMolecular medicine reports2018
Proteomic profiling for plasma biomarkers of tuberculosis progression.
Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 33 citations in OpenAlex.
- Transcriptomic insights intoThe veterinary quarterly · 2025Article
- Mycobacterium tuberculosis-specific T cells restrain anti-cancer drug-induced neutrophilic lung inflammation in tuberculosis.Nature communications · 2025Article
- The Evolving Landscape of Host Biomarkers for Diagnosis and Monitoring of Tuberculosis.Biomedicines · 2025Review
- Identification of Specific LncRNA Markers in Severe Tuberculosis for Early Diagnosis.Infection and drug resistance · 2025Article
- The acute phase reactant orosomucoid-2 directly promotes rheumatoid inflammation.Experimental & molecular medicine · 2024Article
- VapC12 ribonuclease toxin modulates host immune response duringFrontiers in immunology · 2024Article
- Exploration of key factors in Gingival Crevicular fluids from patients undergoing Periodontally Accelerated Osteogenic Orthodontics (PAOO) using proteome analysis.BMC oral health · 2023Article
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- A protein signature associated with active tuberculosis identified by plasma profiling and network-based analysis.iScience · 2022Article
- Validation of Serotransferrin in the Serum as Candidate Biomarkers for the Diagnosis of Pulmonary Tuberculosis by Label-Free LC/MS.ACS omega · 2022Article
- Using Omics to Study Leprosy, Tuberculosis, and Other Mycobacterial Diseases.Frontiers in cellular and infection microbiology · 2022Review
- High levels of plasma S100A9 at admission indicate an increased risk of death in severe tuberculosis patients.Journal of clinical tuberculosis and other mycobacterial diseases · 2021Article
- A systematic review of potential screening biomarkers for active TB disease.Journal of clinical tuberculosis and other mycobacterial diseases · 2021Review
- Calprotectin: An Ignored Biomarker of Neutrophilia in Pediatric Respiratory Diseases.Children (Basel, Switzerland) · 2021Review
- Calprotectin in Lung Diseases.International journal of molecular sciences · 2021Review
- Granulocytes act as a niche for Mycobacterium tuberculosis growth.Mucosal immunology · 2021Article
- Immune Biomarkers for Diagnosis and Treatment Monitoring of Tuberculosis: Current Developments and Future Prospects.Frontiers in microbiology · 2019Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Severe pulmonary tuberculosis (STB) is a life‑threatening condition with high economic and social burden. The present study aimed to screen for distinct proteins in different stages of TB and identify biomarkers for a better understanding of TB progression and pathogenesis. Blood samples were obtained from 81 patients with STB, 80 with mild TB (MTB) and 50 healthy controls. Differentially expressed proteins were identified using liquid chromatography‑tandem mass spectrometry‑based label‑free quantitative proteomic analysis. Functional and pathway enrichment analyses were performed for the identified proteins. The expression of potential biomarkers was further validated by western blot analysis and enzyme‑linked immunosorbent assays. The accuracy, sensitivity and specificity for selected protein biomarkers in diagnosing STB were also evaluated. A total of 1,011 proteins were identified in all three groups, and 153 differentially expressed proteins were identified in patients with STB. These proteins were involved in 'cellular process', 'response to stimulus', 'apoptotic process', 'immune system process' and 'select metabolic process'. Significant differences in protein expression were detected in α‑1‑acid glycoprotein 2 (ORM2), interleukin‑36α (IL‑36α), S100 calcium binding protein A9 (S100‑A9), superoxide dismutase (SOD)1 in the STB group, compared with the MTB and control groups. The combination of plasma ORM2, IL‑36α, S100A9 and SOD1 levels achieved 90.00% sensitivity and 92.16% specificity to discriminate between patients with STB and MTB, and 89.66% sensitivity and 98.9% specificity to discriminate between patients with STB and healthy controls. ORM2, S100A9, IL‑36α and SOD1 were associated with the development of TB, and have the potential to distinguish between different stages of TB. Differential protein expression during disease progression may improve the current understanding of STB pathogenesis.
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