Neurotrophin growth factors and their receptors as promising blood biomarkers for Alzheimer's Disease: a gene expression analysis study

Mol Biol Rep. 2024 Jan 2;51(1):49. doi: 10.1007/s11033-023-08959-4.

Abstract

Background: Alzheimer's disease (AD) is a multifaceted neurological ailment affecting more than 50 million individuals globally, distinguished by a deterioration in memory and cognitive abilities. Investigating neurotrophin growth factors could offer significant contributions to understanding AD progression and prospective therapeutic interventions.

Methods and results: The present investigation collected blood samples from 50 patients diagnosed with AD and 50 healthy individuals serving as controls. The mRNA expression levels of neurotrophin growth factors and their receptors were measured using quantitative PCR. A Bayesian regression model was used in the research to assess the relationship between gene expression levels and demographic characteristics such as age and gender. The correlations between variables were analyzed using Spearman correlation coefficients, and the diagnostic potential was assessed using a Receiver Operating Characteristic curve. NTRK2, TrkA, TrkC, and BDNF expression levels were found to be considerably lower (p-value < 0.05) in the blood samples of AD patients compared to the control group. The expression of BDNF exhibited the most substantial decrease in comparison to other neurotrophin growth factors. Correlation analysis indicates a statistically significant positive association between the genes. The ROC analysis showed that BDNF exhibited the greatest Area Under the Curve (AUC) value of 0.76, accompanied by a sensitivity of 70% and specificity of 66%. TrkC, TrkA, and NTRK2 demonstrated considerable diagnostic potential in distinguishing between cases and controls.

Conclusion: The observed decrease in the expression levels of NTRK2, TrkA, TrkC, and BDNF in AD patients, along with the identified associations between specific genes and their diagnostic capacity, indicate that these expressions have the potential to function as biomarkers for the diagnosis and treatment of AD.

Keywords: Alzheimer’s Disease; Bayesian regression; Biomarkers; Gene expression; Neurotrophin growth factors; Peripheral blood; ROC curve analysis.

MeSH terms

  • Alzheimer Disease* / diagnosis
  • Alzheimer Disease* / genetics
  • Bayes Theorem
  • Biomarkers
  • Brain-Derived Neurotrophic Factor / genetics
  • Humans
  • Receptor Protein-Tyrosine Kinases

Substances

  • Brain-Derived Neurotrophic Factor
  • Receptor Protein-Tyrosine Kinases
  • Biomarkers