Menu
Peptide Database
Results
No peptides found
Featured

Use search to browse all 100+ peptides

P021

Peptide 021, GLXC-21260

Quick Stats
Studies 37
Trials 57
2024 pubmed 6 citations

Candidate serum protein biomarkers for active pulmonary tuberculosis diagnosis in tuberculosis endemic settings.

Ayalew. Sosina S; Wegayehu. Teklu T; Wondale. Biniam B; Tarekegn. Azeb A; Tessema. Bamlak B; Admasu. Filippos F; Piantadosi. Anne A; Sahi. Maryam M; Gebresilase. Tewodros Tariku TT; Fredolini. Claudia C; Mihret. Adane A

Key Findings

  • Eight serum proteins (IFN‑gamma, LIF, uPA, CSF‑1, SCF, SIRT2, 4E‑BP1, GDNF) differentiate active TB from other respiratory diseases
  • The protein panel achieved an AUC of ~0.94, indicating high diagnostic accuracy
  • Pathway analysis highlighted inflammatory response and cytokine‑receptor interactions as key mechanisms

Practical Outcomes

  • The main takeaway is that a blood‑based test for TB could become possible, but this finding isn’t directly useful for personal longevity, metabolic health, or performance optimization right now.

Summary

Researchers found a set of eight proteins in blood that can accurately tell if someone has active lung TB, even when other lung issues are present. This could lead to a simple blood test for TB, but it doesn’t change everyday health hacks or performance strategies.

Abstract

Identification of non-sputum diagnostic markers for tuberculosis (TB) is urgently needed. This exploratory study aimed to discover potential serum protein biomarkers for the diagnosis of active pulmonary TB (PTB). We employed Proximity Extension Assay (PEA) to measure levels of 92 protein biomarkers related to inflammation in serum samples from three patient groups: 30 patients with active PTB, 29 patients with other respiratory diseases with latent TB (ORD with LTBI+), and 29 patients with other respiratory diseases without latent TB (ORD with LTBI-). To understand the functional mechanisms associated with differentially expressed proteins, we performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Least absolute shrinkage and selection operator (LASSO) regression was employed to identify potential TB diagnostic protein biomarkers. Network interactions among the identified candidate diagnostic markers were then analyzed, and their diagnostic performance was evaluated using logistic regression and receiver operating characteristic (ROC) analysis. The analysis revealed 37 differentially expressed proteins (DEPs) in the active PTB group compared to both ORD with LTBI + and ORD with LTBI- groups. Gene Ontology analysis indicated that these DEPs were primarily involved in the inflammatory response, while KEGG enrichment analysis highlighted the cytokine-cytokine receptor interaction pathway as the top significant hit. LASSO regression identified eight promising candidate protein biomarkers: IFN-gamma, LIF, uPA, CSF-1, SCF, SIRT2, 4E-BP1, and GDNF. The combined set of these eight proteins yielded an AUC of 0.943 for differentiating active PTB from ORD with LTBI+, and an AUC of 0.927 for distinguishing PTB from ORD with LTBI-. We have identified eight protein markers that reliably differentiate active PTB from ORD irrespective of LTBI presence. Further large-scale validation and translation of these protein markers into a user-friendly and affordable point-of-care test hold the potential to significantly enhance TB control in high-burden regions.

Study Information

Provider

pubmed

Year

2024

Date

2024-11-21T00:00:00.000Z

DOI

10.1186/s12879-024-10224-3

Citations

6

References

50