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

被引:1
|
作者
Asadi, Mohammad Reza [1 ,2 ]
Gharesouran, Jalal [1 ,2 ]
Sabaie, Hani [1 ,2 ]
Zaboli Mahdiabadi, Morteza [3 ]
Mazhari, Seyed Amirhossein [4 ]
Sharifi-Bonab, Mirmohsen [1 ]
Shirvani-Farsani, Zeinab [5 ]
Taheri, Mohammad [6 ,7 ]
Sayad, Arezou [8 ]
Rezazadeh, Maryam [1 ,2 ]
机构
[1] Tabriz Univ Med Sci, Clin Res Dev Unit Tabriz Valiasr Hosp, Tabriz, Iran
[2] Tabriz Univ Med Sci, Fac Med, Dept Med Genet, Tabriz, Iran
[3] Shahid Sadoughi Univ Med Sci, Student Res Comm, Yazd, Iran
[4] Azerbaijan Med Univ, Student Res Comm, Baku, Azerbaijan
[5] Shahid Beheshti Univ, Fac Life Sci & Technol, Dept Cell & Mol Biol, Tehran, Iran
[6] Jena Univ Hosp, Inst Human Genet, Jena, Germany
[7] Shahid Beheshti Univ Med Sci, Urol & Nephrol Res Ctr, Tehran, Iran
[8] Shahid Beheshti Univ Med Sci, Loghman Hakim Hosp, Dept Med Genet, Tehran, Iran
关键词
Alzheimer's Disease; Neurotrophin growth factors; Biomarkers; Peripheral blood; Gene expression; Bayesian regression; ROC curve analysis; MILD COGNITIVE IMPAIRMENT; CHOLINERGIC NEURONS; NERVOUS-SYSTEM; TRK RECEPTORS; TAU-PROTEIN; BRAIN; BDNF; DEMENTIA; BETA; PROGRESSION;
D O I
10.1007/s11033-023-08959-4
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 neurotroph in 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.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] The potential impact of clinical factors on blood-based biomarkers for Alzheimer’s disease
    Fengfeng Pan
    Yan Lu
    Qi Huang
    Fang Xie
    Jingye Yang
    Qihao Guo
    Translational Neurodegeneration, 12
  • [32] Exosome-encapsulated microRNAs as promising biomarkers for Alzheimer's disease
    Chen, Jian-jiao
    Yang, Guang
    Yan, Qing-qing
    Zhao, Jie
    Li, Shao
    REVIEWS IN THE NEUROSCIENCES, 2020, 31 (01) : 77 - 87
  • [33] BLOOD EXOSOMES: ANALYSIS OF ISOLATION VARIABLES AND A SOURCE OF BIOMARKERS FOR ALZHEIMER'S DISEASE
    Harms, C.
    Crofton, A.
    Oh, N.
    Howard, K.
    Sanchez, N.
    Zabel, M.
    Antes, T.
    Sethi, J.
    Kirsch, W.
    JOURNAL OF INVESTIGATIVE MEDICINE, 2014, 62 (01) : 180 - 180
  • [34] Blood-based biomarkers for Alzheimer's disease
    Chohan, Priyanka
    Dashwood, Mark
    Theodoulou, George
    Reed, Hannah
    Kuruvilla, Tarun
    PROGRESS IN NEUROLOGY AND PSYCHIATRY, 2022, 26 (04) : 10 - 14
  • [35] Identifying Protein Biomarkers in Blood for Alzheimer's Disease
    Zhao, Tianyi
    Hu, Yang
    Zang, Tianyi
    Wang, Yadong
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2020, 8
  • [36] Blood Biomarkers for Alzheimer's Disease in Down Syndrome
    Montoliu-Gaya, Laia
    Strydom, Andre
    Blennow, Kaj
    Zetterberg, Henrik
    Ashton, Nicholas James
    JOURNAL OF CLINICAL MEDICINE, 2021, 10 (16)
  • [37] Exploring Erythrocytes as Blood Biomarkers for Alzheimer's Disease
    Stevenson, Anna
    Lopez, Dianne
    Khoo, Paul
    Kalaria, Rajesh N.
    Mukaetova-Ladinska, Elizabeta B.
    JOURNAL OF ALZHEIMERS DISEASE, 2017, 60 (03) : 845 - 857
  • [38] Blood-based biomarkers for Alzheimer's disease?
    Charlotte Harrison
    Nature Reviews Drug Discovery, 2014, 13 (5) : 336 - 336
  • [39] Blood biomarkers for Alzheimer's disease and related disorders
    Zetterberg, Henrik
    Schott, Jonathan M.
    ACTA NEUROLOGICA SCANDINAVICA, 2022, 146 (01): : 51 - 55
  • [40] Cerebrospinal fluid and blood biomarkers in Alzheimer's disease
    Humpel, Christian
    Hochstrasser, Tanja
    WORLD JOURNAL OF PSYCHIATRY, 2011, 1 (01): : 8 - 18