AD is a progressive neurodegenerative disease and the most prevalent form of dementia among older people worldwide. This irreversible disorder gradually reduces the behavioral and mental functions and the person’s ability to learn (
32). The pathophysiology of AD is very complex. One of the most important histopathologic features of AD is the presence of extracellular beta-amyloid (Aβ) plaques and tau protein aggregates in intracellular neurofibrillary tangles (
33). More recognized histopathologic features include oxidative stress, mitochondrial dysfunction, neuroinflammation, and BBB dysfunction (
34).
Currently, the lack of effective preventive and therapeutic strategies is one of the most serious challenges of patients with AD (
35). Acetylcholinesterase inhibitors and glutamate antagonists (N-methyl D-aspartate NMDA) are the most widely used treatments for AD. These pharmacological compounds have a minimal effect on the disease. As a result of obtaining a deeper understanding of the pathophysiology of AD, researchers are more focused on the direct targeting of underlying disease mechanisms (
32). New methods for AD treatment are based on inhibiting the production and accumulation of unfolded Aβ proteins and phosphorylated tau and antagonists of the neurotransmitter system. Most of these new therapeutic approaches are highly complex and time-consuming projects.
Of course, considering the complex and multifactorial nature of AD, selecting only one molecular target or specific mechanism for its treatment seems impossible. Therefore, new therapeutic approaches should focus on compounds that can target multiple targets (
36,
37). Liu et al. (
38) showed that GQDs can prevent the accumulation of Aβ1-42 peptides and mentioned therapeutic applications of this complication (
Figure 1). Furthermore, Xiao et al. (
39), in an in vivo assay using APP/PS1 transgenic mice, used a new nanomaterial combination of GQDs and neuroprotective peptide containing glycine-proline-glutamate (GQDG). They injected this compound into the transgenic mice and reported that it could inhibit the accumulation of AB1-42 fibers, and the level of deposited platelets was lower than the control group. Also, inflammatory cytokines, including TNFα, IL 6, and others, were decreased. Thereby, they found an increase in the memory of mice (
39). Tang et al. (
40) used a sensitive and reliable sandwich immunoassay to detect the Aβ1-42 peptides using QDs, as fluorescent labels. They showed that under optimal conditions, the linear range of Aβ1-42 assay from 5.0 to 100 pM (0.023 - 0.45 ng mL-1) and the detection limit was reduced to 1.7 pM (7.6 pg.mL
-1). Furthermore, they used this method to detect Aβ1-42 in a human cerebrospinal fluid sample and reported successful results (
40). Medina-Sanchez et al. (
41) evaluated On-chip magneto-immunoassay for AD’s biomarker (apolipoprotein E (ApoE)) electrochemical detection using QDs as labels. They evaluated ApoE detection with high sensitivity and acceptable precision and accuracy. The linear range of ApoE assay ranged from 10 to 200 ng.mL
-1, and the detection limit was as low as 12.5 ng.mL
-1 and with high accuracy for diluted human plasma (
41). Furthermore, Pi et al. (
42) developed a sandwich immunoassay for detecting Aβ1-42 using QDs as fluorescent labels. In the presence of Aβ1-42, QDs connected to magnetic beads through the formation of immune-sandwich complex and can be eliminated by a magnetic field. The linear range of Aβ1-42 assay was 0.50 to 8.0nM (2.25 - 36 ng.mL
-1) and the detection limit was declined to 0.2 nM (0.9 ng.mL
-1) (
42).