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Front. Aging Neurosci., 04 August 2020
Sec. Alzheimer's Disease and Related Dementias
This article is part of the Research Topic Translational Advances in Alzheimer's, Parkinson's, and other Neurodegenerative Dementias View all 70 articles

Progress of RAGE Molecular Imaging in Alzheimer’s Disease

\r\nYanyan KongYanyan Kong1Cuiping LiuCuiping Liu2Yinping ZhouYinping Zhou2Jingxuan QiJingxuan Qi2Chencheng ZhangChencheng Zhang3Bomin Sun*Bomin Sun3*Jiao Wang*Jiao Wang2*Yihui Guan*Yihui Guan1*
  • 1PET Center, Huashan Hospital, Fudan University, Shanghai, China
  • 2Laboratory of Molecular Neural Biology, School of Life Sciences, Shanghai University, Shanghai, China
  • 3Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Alzheimer’s disease (AD) is a progressive neurodegenerative disease characterized by senile plaques (SPs), which are caused by amyloid beta (Aβ) deposition and neurofibrillary tangles (NFTs) of abnormal hyperphosphorylated tau protein. The receptor for advanced glycation end products (RAGE) binds to advanced glycation end products deposited during vascular dysfunction. Alzheimer’s disease may occur when RAGE binds to Aβ and releases reactive oxygen species, further exacerbating Aβ deposition and eventually leading to SPs and NFTs. As it is involved in early AD, RAGE may be considered as a more potent biomarker than Aβ. Positron emission tomography provides valuable information regarding the underlying pathological processes of AD many years before the appearance of clinical symptoms. Thus, to further reveal the role of RAGE in AD pathology and for early diagnosis of AD, a tracer that targets RAGE is needed. In this review, we first describe the early diagnosis of AD and then summarize the interaction between RAGE and Aβ and Tau that is required to induce AD pathology, and finally focus on RAGE-targeting probes, highlighting the potential of RAGE to be used as an effective target. The development of RAGE probes is expected to aid in AD diagnosis and treatment.

Introduction

Alzheimer’s disease (AD) is the first major neurodegenerative disease with irreversible, occult, and rapid progression. With aging of the population, AD has become a major disease affecting public health (Nebel et al., 2018; Bo et al., 2019). The etiology and pathogenesis of AD are not fully understood, and currently, there is no specific treatment. More importantly, early diagnosis of AD is limited. The cost of treatment and care for AD is enormous, imposing a heavy burden on patients, families, and the society. Therefore, brain function imaging, developed on the basis of brain metabolism research targeting AD pathogenesis, plays an increasingly important role in the study of pathological processes in the AD brain.

The pathological features of AD are senile plaques (SPs), containing neurotoxic amyloid beta (Aβ) as the main component, and neurofibrillary tangles (NFTs), with abnormally activated tau as the main component in nerve cells. Neurofibrillary tangles and SPs are currently recognized as the earliest pathological changes in AD, with SPs reaching their maximum deposition in the early stage of AD, termed the “capping effect,” which allows for amyloid plaque imaging in vivo. Tracking the slow progress of AD is difficult (Dubois et al., 2018). Therefore, an in-depth exploration of AD pathogenesis with the development of new radioactive probes that detect pathological changes earlier to Aβ deposition is currently a hotspot in AD research.

The receptor for advanced glycation end products (RAGE) belongs to the immunoglobulin superfamily of cell surface molecules and is situated in the major histocompatibility complex class III locus (Xue et al., 2011; Han et al., 2014). It binds to its ligand, advanced glycation end products (AGEs), through its V-type region, which is a key site that mediates intracellular signal transduction (Kim et al., 2013; Abedini et al., 2018). While mild hypoperfusion can increase the levels of neuronal Aβ and NFTs, expressed as paired helix filaments, increasing evidence shows that RAGE levels are significantly elevated in patients with AD and AD models (Cai et al., 2016; Chellappa and Rani, 2020; Paudel et al., 2020). Receptor for advanced glycation end products-mediated Aβ-injured tight junctions may also be associated with a variety of intracellular signal transduction pathways, Ca2+, or inflammatory damage (Nelson et al., 2016; Cai et al., 2017; Sole et al., 2019). Further, immunohistochemical evidence shows that the distribution of RAGE abnormalities is consistent with that of NFTs and SPs. In addition, glycosylated tau can induce significant oxidative stress and cause neuronal insufficiency or death (Srikanth et al., 2011; Cai et al., 2016). Receptor for advanced glycation end products may play an important role in the occurrence and development of AD, yet its underlying mechanism is still unclear. Thus, it is necessary to lay emphasis on the role of RAGE in AD pathology.

Early Progression of AD

The etiology of AD is complex, and there are currently no specific drugs and methods to treat AD. Many drugs can only achieve remission (Wong et al., 2019). Positron emission tomography (PET), as a molecular imaging technique, can reflect pathological changes at the molecular level and can non-invasively detect the distribution of radionuclides in the body, which reflects physiological, biochemical, metabolic, and receptor changes, as well as gene expression and other abnormal changes (Hannestad, 2018; Mankoff and Katz, 2018). Thus, it is an important auxiliary tool for AD research. At present, there are several types of AD PET imaging agents (Bao et al., 2017) targeting glucose metabolism, receptors, or transmitters, Aβ, Tau protein, neuroinflammation, and monoamine oxidase. However, these agents have certain limitations for the early diagnosis of AD.

In recent years, research on AD has mainly focused on the two major pathological features of AD: Aβ and tau. However, although some individuals show Aβ or Tau deposition as detected on medical images, they exhibit no dementia symptoms (Hardy and Selkoe, 2002). Moreover, studies have shown that Aβ deposition is slow and protracted, likely lasting over 20 years, while the association of Aβ accumulation with cognitive impairments is weak (Villemagne et al., 2013). Additionally, the current probes cannot distinguish among the six subtypes of Tau protein, and their off-target effects are more serious (Robertson et al., 2017). Therefore, finding new targets and developing the corresponding probes for AD are particularly important for AD research.

Current studies have shown that in early vascular dysfunction of AD, inflammatory mediators, such as tumor necrosis factor alpha (TNF-α), in brain microvascular endothelial cells (BMECs), are released, thus increasing cerebral vascular permeability (Qiu et al., 2016), enabling AGEs and other neurotoxicants to cross the blood–brain barrier (BBB) and cause AGE deposition. This leads to a significant upregulation of RAGE in BMECs (Liang et al., 2015), which leads to an inflammatory response by vascular endothelial and nerve cells, activates the release of reactive oxygen species (ROS), which promotes oxidative stress, and results in the secretion of nitric oxide synthase and further increases Aβ deposition in the brain. Aβ increases the activation of microglia, which, in turn, accelerates nerve vessel dysfunction. Neuronal dysfunction promotes the pathogenesis of NFTs, thus causing the formation of additional SPs and NFTs, disturbing the balance in the chemical components of the neuro-microenvironment. This further promotes neuronal dysfunction, injury, and loss (Wells et al., 2015; Cai et al., 2016) (see Figure 1). Based on the above, RAGE and AGEs could play an important role in the early pathological changes of AD.

FIGURE 1
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Figure 1. Receptor of advanced glycation end products (RAGE) mediates the possible mechanism of Alzheimer’s disease (AD). Interaction of RAGE with advanced glycation end products (AGEs) and β-amyloid (Aβ) allows them to cross the blood–brain barrier and enter the brain. Aβ deposition in the brain promotes the expression of tumor necrosis factor α (TNF-α), interleukin (IL)-1, and IL-6, and exacerbates the inflammatory response. Increased binding of Aβ to RAGE after entering the brain can also upregulate RAGE expression, resulting in increased release of reactive oxygen species (ROS) and upregulation of Aβ expression, which then promotes the generation of senile plaques (SPs). The upregulation of RAGE exacerbates phosphorylation of tau protein and promotes the generation of neurofibrillary tangles (NFTs). AGEs and RAGE phosphorylate glycogen synthase kinase 3 (GSK-3β), which, in turn, exacerbates the phosphorylation of tau protein and promotes the generation of NFTs. Upregulation of Aβ and tau protein levels promote the occurrence and development of AD.

AGE-Related RAGE Processes and NFTs

Abnormally activated tau is the main component of NFTs, and NFT deposition in the hippocampus and entorhinal cortex is correlated with the severity of behavioral degeneration in the progression of dementia (Saint-Aubert et al., 2017). Advanced glycation end products are the final products of the non-enzymatic glycation of proteins, which is irreversible. The non-enzymatic saccharification processes accompanying neuronal metabolism have far-reaching effects despite the slow and insignificant cell damage they cause (Kamynina et al., 2018). In AD, AGEs have been shown to induce tau hyperphosphorylation in SK-N-SH cells, primary hippocampal neurons, and rat brains through the RAGE/GSK-3 pathway (Li X.H. et al., 2012; Son et al., 2012). As AGEs downregulate the brain-derived neurotrophic factor–tyrosine receptor kinase B pathway in rat brains and N2A cells (Li X.H. et al., 2012), they could activate glycogen synthase kinase 3 at Ser9, thus regulating its phosphorylation, which was found to be a trigger of tau hyperphosphorylation (Wu et al., 2019). Simultaneously, in situ techniques have shown that the major structures recognized by anti-AGE antibodies, hydroxymethyl lysine (CML) and glycosylated precursor hexitol-lysine, increase in the NFTs of patients with AD. In these patients, CML colocalizes with the tau protein. Immunostaining experiments have shown that almost all AGE-immunoreactive neurons contain the hyperphosphorylated tau protein, confirming the role of AGE aggregation in early NFT formation and neuronal degeneration (Qi et al., 2017) (see Figure 2). As an increase in AGEs causes an upregulation of RAGE, the connection between AGEs and NFTs indicates a strong link between RAGE and tau hyperphosphorylation.

FIGURE 2
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Figure 2. Receptor of advanced glycation end products (RAGE) mediates the possible mechanism of neurofibrillary tangle (NFT) formation in the pathogenesis of dementia complicated with Alzheimer’s disease.

The deposition of AGEs in the brain participates in the pathogenesis of AD through RAGE and cross-links with NFTs. This deposition activates microglia and nicotinamide adenine dinucleotide phosphate oxidase, leading to ROS release and the formation of peroxynitrite, a potent oxidant of proteins, lipids, and DNA (Nam et al., 2012), ultimately causing nerve destruction. Therefore, treating AGEs may become a new way to treat AD.

Role of the Interaction Between RAGE and Aβ in AD

A growing body of evidence suggests that RAGE is an important regulator of Aβ neurotoxicity. Aβ-damaged BMECs and the destruction of the BBB may be new characteristic pathological changes in AD (Lv et al., 2014). In AD, RAGE expression is significantly upregulated in areas where Aβ is deposited (Wang et al., 2009). Receptor for advanced glycation end products is a pattern recognition receptor, and Aβ, as one of its ligands, was shown to interact with it (Paudel et al., 2020); however, the specific mechanism underlying this interaction and its role in patients with AD need further clarification.

The interaction of RAGE with Aβ activates inflammatory signaling pathways, releases ROS to produce oxidative stress, and causes neuroinflammation, thus inducing the dysfunction of mitochondria and neurons (Deane et al., 2008), as well as changes in various signaling mechanisms such as the mitogen-activated protein kinase pathway (Deane, 2012). Further, RAGE accelerates the uptake and transport of Aβ, which causes Aβ to cross the BBB and enter the central nervous system through endocytosis (Deane et al., 2003), causing cerebrovascular dysfunction, eventually leading to neurovascular inflammation and subsequent synaptic toxicity (Deane and Zlokovic, 2007), thereby affecting the normal activity of the central nervous system (Zhang et al., 2011; Galasko et al., 2014; Wang et al., 2014; Cai et al., 2016; Fang et al., 2018). The interaction between RAGE and Aβ is harmful to the body. Studies have found that, in transgenic mice with defective RAGE expression, Aβ in the brain is completely inhibited from crossing the BBB (Deane and Zlokovic, 2007).

High expression of RAGE is also harmful to the body. First, it activates the nuclear factor κB, further increasing the expression of RAGE and forming a positive feedback effect on inflammation (Wan et al., 2015; Fang et al., 2018). Second, it increases the expression of nuclear factor-1 in activated T-cells and of amyloid precursor protein (APP) β-site cleavage enzyme 1 (also known as BACE1), an important enzyme that cleaves amyloid precursors (Yan et al., 1996; Fang et al., 2010; Guglielmotto et al., 2012; Galasko et al., 2014). Increased BACE1 activity increases Aβ production (Maesako et al., 2019). In addition, Aβ can activate RAGE, increasing the expression of pro-inflammatory cytokines like TNF-α, interleukin 6 (IL-6), and macrophage colony-stimulating factor (Dukic-Stefanovic et al., 2003). In turn, RAGE activation exacerbates the production and aggregation of Aβ and the formation of NFTs and destroys synaptic transmission and neurons (Cai et al., 2016) (see Figure 3), which promote the occurrence and development of AD.

FIGURE 3
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Figure 3. Receptor of advanced glycation end products (RAGE) mediates the possible mechanism of Aβ in the pathogenesis of Alzheimer’s disease.

Inhibition of RAGE can prevent Aβ damage in nerve cells and cerebral vasculature. The possible mechanism of RAGE function in AD provides a theoretical basis and new ideas for the early diagnosis of AD and development of new drugs for the prevention and treatment of AD.

RAGE and RAGE-Targeting Brain Imaging

Many studies have shown that AGEs are important in neurodegenerative diseases (Li J. et al., 2012; Nenna et al., 2015), while in vitro and in vivo studies have demonstrated the potential of RAGE as a receptor for AGE and as a therapeutic target in neurodegeneration (Sparvero et al., 2009; Deane et al., 2012; Nasser et al., 2015; Ray et al., 2016). Receptor for advanced glycation end products PET imaging has also been proven to assist in the diagnosis and treatment of neurodegenerative diseases (Kim et al., 2018; Konopka et al., 2018; Goldklang et al., 2019). The full-length human RAGE consists of three domains, namely, the extracellular, the hydrophobic transmembrane, and the cytoplasmic domains, while the main binding domain structure V is located on the extracellular part of the receptor (Bongarzone et al., 2017). Receptor for advanced glycation end products is expressed in a regulated manner, at low levels, in most differentiated adult cells, whereas its expression is high in embryonic cells (Demling et al., 2006). Moreover, RAGE is highly expressed in many inflammation-related pathological states such as vascular disease, diabetes, and neurodegeneration (Hudson et al., 2008; Sparvero et al., 2009). It is important in Aβ-mediated neurotoxicity (Piras et al., 2014), and its signaling pathway is also essential in AGE-induced tau phosphorylation and spatial memory impairment (Choi et al., 2014). Studies using murine models of chronic disease have demonstrated the involvement of RAGE in pathophysiological processes by means of a receptor decoy of soluble RAGE (Bierhaus et al., 2005). Moreover, RAGE was found to be relatively increased on the membrane of neurons and microglia in AD-related neuronal dysfunction (Yan et al., 1996; Cai et al., 2016). Considering the key functions of RAGE, there is a need for molecular imaging agents to measure RAGE expression in neurodegenerative diseases.

For developing novel RAGE inhibitors as potential AD therapeutics, Han et al. (2014) designed and synthesized a series of pyrazole-5-carboxamides to screen for excellent RAGE inhibitors. Screening identified a 4-fluorophenoxy analog with significant brain Aβ-lowering effects, as well as favorable aqueous solubility named 40, which were determined to be excellent RAGE inhibitors. Deane et al. (2012) synthesized a high-affinity RAGE-specific inhibitor, FPS-ZM1, which was selected after screening a second-generation library of compounds designed based on the common structural features of three leading compounds in a primary screen. Compared to other analogs (e.g., FPS1, FPS2, and FPS3), the functional groups of the leading tertiary amides in FPS-ZM1 were altered to reduce the molecular weight to less than 450 Da and decrease the number of hydrogen bonds. FPS-ZM1 has a molecular weight of 327 Da and 1 H-bond (see Table 1). The authors verified its effect using APPsw/0 mice, an AD model, and found that it can cross the BBB, acts on the V-type region of RAGE, and can still bind to RAGE after crossing the BBB, thereby blocking the role of intracranial RAGE (Lv et al., 2015; Hong et al., 2016). These results indicated the guaranteed binding ability of FPS-ZM1. In addition, FPS-ZM1 was shown to completely restore cerebral blood flow, inhibit neurotoxicity, microglial activity, and the neuroinflammatory response and improve cognitive behavior. Moreover, FPS-ZM1 has a wide safety range, with no toxic effects, even when using doses 500 times higher than the therapeutic dose (Deane et al., 2012). The above suggest that FPS-ZM1 is a potent multimodal RAGE blocker that effectively controls the progression of Aβ-mediated neurodegeneration and, thus, may be used as a disease-modifying agent for AD.

TABLE 1
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Table 1. Features of FPS1-3 and FPS-ZM1.

Based on the importance of the RAGE signaling pathway in AGE-induced tau phosphorylation and spatial memory impairment, research and development of imaging agents with characteristics that can reflect the early pathological mechanism of AD is a highly active field. According to the above characteristics of FPS-ZM1, Cary et al. (2016) synthesized the first small-molecule BBB-permeable PET radioligand for RAGE, [18F] RAGER, and conducted a preliminary preclinical study. Micro-PET imaging in rodents and non-human primates indicated that [18F] RAGER clusters in the expression area of RAGE, while further molecular docking experiments determined the binding site of RAGER, indicating that [18F] RAGER and RAGE distribution area colocalization may have a binding effect. Kong et al. (2016) identified a new [18F]-FPS-ZM1 probe targeting RAGE among thousands of small molecules by testing different radiolabeling methods. The probe was radioactively synthesized with a purity of up to 99% and an activity of 30 mCi/ml and was shown to be lipophilic. The authors also studied the probe’s hemodynamics and verified its safety by performing animal experiments. They found that the low-molecular-weight [18F]-FPS-ZM1 is stable, electrically neutral, lipophilic, and weight independent. Micro-PET imaging and autoradiography results also indicated that [18F]-FPS-ZM1 is a promising RAGE-specific probe.

Several studies have documented other PET imaging probes for early AD diagnosis, such as those aimed at various targets, including Aβ, tau, and others. Tau-targeting imaging probes such as [18F]-THK-5351, [18F]-THK-5117, and [18F]-AV-1451 show a high uptake in the patients’ cortex (Harada et al., 2015; Lemoine et al., 2015; Passamonti et al., 2017; Kobayashi et al., 2018; Valotassiou et al., 2018), which means that they can accurately detect NFTs, thus helping in the early diagnosis of AD. At the same time, [11C] PiB, an analog of thioflavin-T and a benzothiazole derivative, was the first probe specifically targeting Aβ (Rabinovici et al., 2007; Lim et al., 2014; Lemoine et al., 2015; Kobayashi et al., 2018). Since then, many new probes targeting Aβ have appeared, including [18F]-florbetapir, [18F]-florbetaben, and [18F]-flutemetamol, all showing high affinity and specificity for Aβ (Valotassiou et al., 2018). These tau and Aβ-targeting probes can also be used for quantification analysis to further validate the role of RAGE in the pathogenesis of AD (Fang et al., 2018). As RAGE overexpression precedes Aβ plaque formation (Luzi et al., 2020), [18F]-FPS-ZM1 PET/CT imaging is expected to be more sensitive than traditional Aβ imaging. It can monitor changes in cerebrovascular function over time and thus provide accurate, reliable, and reproducible non-invasive in vivo quantitative data for local or whole-brain pathological changes.

Although many tracers have been developed to aid in the diagnosis and treatment of AD, including those targeting tau, P2X7, phosphodiesterase PDE10A, and synaptic vesicle glycoprotein 2A (McCluskey et al., 2020), only few RAGE-targeting imaging tracers are currently available apart from [18F]-FPS-ZM1, and they all have certain limitations in the diagnosis of AD. Available RAGE probes include the 99mTc-F(ab′)2 anti-RAGE fragment developed by Tekabe et al. (Shan, 2004; Tekabe et al., 2010), which has only been applied in atherosclerosis and peripheral arterial disease, but not in AD. Another probe was developed by Hoppmann et al. (2008) on the basis of a multigenic family of Ca2+-modulated proteins, namely, S100, as RAGE ligands. However, compared with the high affinity and specificity of FPS-ZM1 for RAGE, this probe lacks stability and has low affinity for RAGE (Wolf et al., 2011). Recently, another RAGE-targeting probe, 64Cu-Rho-G4-CML, was developed by Konopka et al. (2018), which may be the best RAGE-targeting imaging agent currently available for cancer. However, its size prevents it from crossing the BBB, rendering it ineffective for neurological assessments (Konopka et al., 2018). Compared with these three probes, [18F]-F PS-ZM1 is expected to be more potent and could greatly improve early diagnosis, prevention, screening, and evaluation of AD and could help develop an imaging agent with appropriate characteristics that can reflect the early pathological mechanism of AD (Table 2).

TABLE 2
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Table 2. PET and SPECT radioligands for imaging RAGE.

Conclusion

There is currently no breakthrough drug treatment for AD, which has become a serious social and economic problem. Although the progression of AD cannot be prevented or reversed, the availability of radioactive tracers for RAGE PET imaging will allow us to monitor RAGE brain expression levels in AD. Receptor for advanced glycation end products has an important role in the development of AD, but the kind of state RAGE exists in AD and the way it acts on Aβ and tau have yet to be determined. It is unclear whether increased RAGE expression affects the behavior and pathophysiology of AD models. Thus, an in-depth study of the mechanism of action of RAGE is essential for the further understanding of neurological diseases.

In this review, we introduced the RAGE-targeting probe [18F]-FPS-ZM1. Compared with probes targeting Aβ and the tau protein, [18F]-FPS-ZM1 has advantages in exploring the involvement of RAGE in AD pathogenesis. Due to its high specificity and affinity for RAGE, [18F]-FPS-ZM1 is believed to provide accurate and reliable in vivo data for studying local or whole-brain pathological changes. Thus, [18F]-FPS-ZM1 could greatly promote the early diagnosis and evaluation of AD and provide a way to reflect the early pathological mechanism of AD.

Author Contributions

YK, BS, JW, and YG guided the study. YK, CL, YZ, JQ, and CZ wrote the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the National Natural Science Foundation of China (Project Nos. 81571345 and 81701732), Shanghai Municipal Science and Technology Major Project (No. 2018SHZDZX01), and ZJLab, Shanghai Municipal Key Clinical Specialty (shslczdzk03402).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Abedini, A., Cao, P., Plesner, A., Zhang, J., He, M., Derk, J., et al. (2018). RAGE binds preamyloid IAPP intermediates and mediates pancreatic beta cell proteotoxicity. J. Clin. Invest. 128, 682–698. doi: 10.1172/jci85210

PubMed Abstract | CrossRef Full Text | Google Scholar

Bao, W., Jia, H., Finnema, S., Cai, Z., Carson, R. E., and Huang, Y. H. (2017). PET imaging for early detection of Alzheimer’s disease: from pathologic to physiologic biomarkers. PET Clin. 12, 329–350.

Google Scholar

Bierhaus, A., Humpert, M., Morcos, M., Wendt, T., Chavakis, T., Arnold, B., et al. (2005). Understanding RAGE, the receptor for advanced glycation end products. J. Mol. Med. (Berl) 83, 876–886.

Google Scholar

Bo, Z., Wan, Y., Meng, S. S., Lin, T., Kuang, W., Jiang, L., et al. (2019). The temporal trend and distribution characteristics in mortality of Alzheimer’s disease and other forms of dementia in China: Based on the National Mortality Surveillance System (NMS) from 2009 to 2015. PLoS One 14:e0210621. doi: 10.1371/journal.pone.0210621

PubMed Abstract | CrossRef Full Text | Google Scholar

Bongarzone, S., Savickas, V., Luzi, F., and Gee, A. D. (2017). Targeting the receptor for advanced glycation endproducts (RAGE): a medicinal chemistry perspective. J. Med. Chem. 60, 7213–7232. doi: 10.1021/acs.jmedchem.7b00058

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, W., Zhang, K., Li, P., Zhu, L., Xu, J., Yang, B., et al. (2017). Dysfunction of the neurovascular unit in ischemic stroke and neurodegenerative diseases: an aging effect. Ageing Res. Rev. 34, 77–87. doi: 10.1016/j.arr.2016.09.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, Z., Liu, N., Wang, C., Qin, B., Zhou, Y., Xiao, M., et al. (2016). Role of RAGE in Alzheimer’s Disease. Cell Mol. Neurobiol. 36, 483–495.

Google Scholar

Cary, B. P., Brooks, A. F., Fawaz, M. V., Drake, L. R., Desmond, T. J., Sherman, P., et al. (2016). Synthesis and evaluation of [(18)F]RAGER: a first generation small-molecule PET radioligand targeting the receptor for advanced glycation endproducts. ACS Chem. Neurosci. 7, 391–398. doi: 10.1021/acschemneuro.5b00319

PubMed Abstract | CrossRef Full Text | Google Scholar

Chellappa, R. C., and Rani, P. (2020). G82S RAGE polymorphism is associated with Alzheimer’s disease. Front. Biosci. (Elite Ed.) 12:150–161. doi: 10.2741/e864

CrossRef Full Text | Google Scholar

Choi, B. R., Cho, W. H., Kim, J., Lee, H. J., Chung, C., Jeon, W. K., et al. (2014). Increased expression of the receptor for advanced glycation end products in neurons and astrocytes in a triple transgenic mouse model of Alzheimer’s disease. Exp. Mol. Med. 46:e75. doi: 10.1038/emm.2013.147

PubMed Abstract | CrossRef Full Text | Google Scholar

Deane, R., Du Yan, S., Submamaryan, R. K., LaRue, B., Jovanovic, S., Hogg, E., et al. (2003). RAGE mediates amyloid-beta peptide transport across the blood-brain barrier and accumulation in brain. Nat. Med. 9, 907–913. doi: 10.1038/nm890

PubMed Abstract | CrossRef Full Text | Google Scholar

Deane, R., Sagare, A., and Zlokovic, B. V. (2008). The role of the cell surface LRP and soluble LRP in blood-brain barrier Abeta clearance in Alzheimer’s disease. Curr. Pharm. Des. 14, 1601–1605. doi: 10.2174/138161208784705487

PubMed Abstract | CrossRef Full Text | Google Scholar

Deane, R., Singh, I., Sagare, A. P., Bell, R. D., Ross, N. T., LaRue, B., et al. (2012). A multimodal RAGE-specific inhibitor reduces amyloid beta-mediated brain disorder in a mouse model of Alzheimer disease. J. Clin. Invest. 122, 1377–1392. doi: 10.1172/jci58642

PubMed Abstract | CrossRef Full Text | Google Scholar

Deane, R., and Zlokovic, B. V. (2007). Role of the blood-brain barrier in the pathogenesis of Alzheimer’s disease. Curr. Alzheimer Res. 4, 191–197. doi: 10.2174/156720507780362245

PubMed Abstract | CrossRef Full Text | Google Scholar

Deane, R. J. (2012). Is RAGE still a therapeutic target for Alzheimer’s disease? Future Med. Chem. 4, 915–925. doi: 10.4155/fmc.12.51

PubMed Abstract | CrossRef Full Text | Google Scholar

Demling, N., Ehrhardt, C., Kasper, M., Laue, M., Knels, L., and Rieber, E. P. (2006). Promotion of cell adherence and spreading: a novel function of RAGE, the highly selective differentiation marker of human alveolar epithelial type I cells. Cell Tissue Res. 323, 475–488. doi: 10.1007/s00441-005-0069-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Dubois, B., Epelbaum, S., Nyasse, F., Bakardjian, H., Gagliardi, G., Uspenskaya, O., et al. (2018). Cognitive and neuroimaging features and brain beta-amyloidosis in individuals at risk of Alzheimer’s disease (INSIGHT-preAD): a longitudinal observational study. Lancet Neurol. 17, 335–346. doi: 10.1016/s1474-4422(18)30029-2

CrossRef Full Text | Google Scholar

Dukic-Stefanovic, S., Gasic-Milenkovic, J., Deuther-Conrad, W., and Munch, G. (2003). Signal transduction pathways in mouse microglia N-11 cells activated by advanced glycation endproducts (AGEs). J. Neurochem. 87, 44–55. doi: 10.1046/j.1471-4159.2003.01988.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Fang, F., Lue, L. F., Yan, S., Xu, H., Luddy, J. S., Chen, D., et al. (2010). RAGE-dependent signaling in microglia contributes to neuroinflammation, Abeta accumulation, and impaired learning/memory in a mouse model of Alzheimer’s disease. FASEB J. 24, 1043–1055. doi: 10.1096/fj.09-139634

PubMed Abstract | CrossRef Full Text | Google Scholar

Fang, F., Yu, Q., Arancio, O., Chen, D., Gore, S. S., Yan, S. S., et al. (2018). RAGE mediates Abeta accumulation in a mouse model of Alzheimer’s disease via modulation of beta- and gamma-secretase activity. Hum. Mol. Genet. 27, 1002–1014. doi: 10.1093/hmg/ddy017

PubMed Abstract | CrossRef Full Text | Google Scholar

Galasko, D., Bell, J., Mancuso, J. Y., Kupiec, J. W., Sabbagh, M. N., Van Dyck, C., et al. (2014). Clinical trial of an inhibitor of RAGE-Abeta interactions in Alzheimer disease. Neurology 82, 1536–1542. doi: 10.1212/wnl.0000000000000364

PubMed Abstract | CrossRef Full Text | Google Scholar

Goldklang, M. P., Tekabe, Y., Zelonina, T., Trischler, J., Xiao, R., Stearns, K., et al. (2019). Single-photon emission computed tomography/computed tomography imaging of RAGE in smoking-induced lung injury. Respir Res. 20:116.

Google Scholar

Guglielmotto, M., Aragno, M., Tamagno, E., Vercellinatto, I., Visentin, S., Medana, C., et al. (2012). AGEs/RAGE complex upregulates BACE1 via NF-kappaB pathway activation. Neurobiol. Aging 33, 13–27.

Google Scholar

Han, Y. T., Kim, K., Choi, G. I., An, H., Son, D., Kim, H., et al. (2014). Pyrazole-5-carboxamides, novel inhibitors of receptor for advanced glycation end products (RAGE). Eur. J. Med. Chem. 79, 128–142. doi: 10.1016/j.ejmech.2014.03.072

PubMed Abstract | CrossRef Full Text | Google Scholar

Hannestad, J. (2018). PET imaging in psychoneuroimmunology research. Methods Mol. Biol. 1781, 287–307. doi: 10.1007/978-1-4939-7828-1_15

CrossRef Full Text | Google Scholar

Harada, R., Okamura, N., Furumoto, S., Furukawa, K., Ishiki, A., Tomita, N., et al. (2015). [(18)F]THK-5117 PET for assessing neurofibrillary pathology in Alzheimer’s disease. Eur. J. Nucl. Med. Mol. Imaging 42, 1052–1061. doi: 10.1007/s00259-015-3035-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Hardy, J., and Selkoe, D. J. (2002). The amyloid hypothesis of Alzheimer’s disease: progress and problems on the road to therapeutics. Science 297, 353–356. doi: 10.1126/science.1072994

PubMed Abstract | CrossRef Full Text | Google Scholar

Hong, Y., Shen, C., Yin, Q., Sun, M., Ma, Y., and Liu, X. (2016). Effects of RAGE-specific inhibitor FPS-ZM1 on amyloid-beta metabolism and ages-induced inflammation and oxidative stress in rat hippocampus. Neurochem. Res. 41, 1192–1199. doi: 10.1007/s11064-015-1814-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoppmann, S., Haase, C., Richter, S., and Pietzsch, J. (2008). Expression, purification and fluorine-18 radiolabeling of recombinant S100 proteins–potential probes for molecular imaging of receptor for advanced glycation endproducts (RAGE) in vivo. Protein Expr. Purif 57, 143–152. doi: 10.1016/j.pep.2007.10.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Hudson, B. I., Carter, A. M., Harja, E., Kalea, A. Z., Arriero, M., Yang, H., et al. (2008). Identification, classification, and expression of RAGE gene splice variants. FASEB J. 22, 1572–1580. doi: 10.1096/fj.07-9909com

PubMed Abstract | CrossRef Full Text | Google Scholar

Kamynina, A. V., Esteras, N., Koroev, D. O., Bobkova, N. V., Balasanyants, S. M., Simonyan, R. A., et al. (2018). Synthetic fragments of receptor for advanced glycation end products bind Beta-Amyloid 1-40 and protect primary brain cells from beta-amyloid toxicity. Front. Neurosci. 12:681.

Google Scholar

Kim, H. Y., Wang, X., Kang, R., Tang, D., Boone, B. A., and Zeh, H. J. III, et al. (2018). RAGE-specific single chain Fv for PET imaging of pancreatic cancer. PLoS One 13:e0192821. doi: 10.1371/journal.pone.0192821

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, S. J., Ahn, J. W., Kim, H., Ha, H. J., Lee, S. W., Kim, H. K., et al. (2013). Two beta-strands of RAGE participate in the recognition and transport of amyloid-beta peptide across the blood brain barrier. Biochem. Biophys. Res. Commun. 439, 252–257. doi: 10.1016/j.bbrc.2013.08.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Kobayashi, R., Hayashi, H., Kawakatsu, S., Ishiki, A., Okamura, N., Arai, H., et al. (2018). [(18)F]THK-5351 PET imaging in early-stage semantic variant primary progressive aphasia: a report of two cases and a literature review. BMC Neurol. 18:109.

Google Scholar

Kong, Y., Hua, F., Guan, Y., and Zhao, B. (2016). RAGE-specific probe 18F-FPS-ZM1 may be a promising biomarker for early detection of diabetes with Alzheimer’s disease. J. Nuc. Med. 57(Suppl. 2), 1049–1049.

Google Scholar

Konopka, C. J., Wozniak, M., Hedhli, J., Ploska, A., Schwartz-Duval, A., Siekierzycka, A., et al. (2018). Multimodal imaging of the receptor for advanced glycation end-products with molecularly targeted nanoparticles. Theranostics 8, 5012–5024. doi: 10.7150/thno.24791

PubMed Abstract | CrossRef Full Text | Google Scholar

Lemoine, L., Saint-Aubert, L., Marutle, A., Antoni, G., Eriksson, J. P., Ghetti, B., et al. (2015). Visualization of regional tau deposits using (3)H-THK5117 in Alzheimer brain tissue. Acta Neuropathol. Commun. 3:40. doi: 10.1016/0006-8993(93)90478-6

CrossRef Full Text | Google Scholar

Li, J., Liu, D., Sun, L., Lu, Y., and Zhang, Z. (2012). Advanced glycation end products and neurodegenerative diseases: mechanisms and perspective. J. Neurol. Sci. 317, 1–5. doi: 10.1016/j.jns.2012.02.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, X. H., Lv, B. L., Xie, J. Z., Liu, J., Zhou, X. W., and Wang, J. Z. (2012). AGEs induce Alzheimer-like tau pathology and memory deficit via RAGE-mediated GSK-3 activation. Neurobiol. Aging 33, 1400–1410. doi: 10.1016/j.neurobiolaging.2011.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Liang, W., Zhang, W., Zhao, S., Li, Q., Liang, H., and Ceng, R. (2015). Altered expression of neurofilament 200 and amyloid-beta peptide (1-40) in a rat model of chronic cerebral hypoperfusion. Neurol. Sci. 36, 707–712. doi: 10.1007/s10072-014-2014-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Lim, Y. Y., Maruff, P., Pietrzak, R. H., Ames, D., Ellis, K. A., Harrington, K., et al. (2014). Effect of amyloid on memory and non-memory decline from preclinical to clinical Alzheimer’s disease. Brain 137(Pt 1), 221–231. doi: 10.1093/brain/awt286

PubMed Abstract | CrossRef Full Text | Google Scholar

Luzi, F., Savickas, V., Taddei, C., Hader, S., Singh, N., Gee, A. D., et al. (2020). Radiolabeling of [(11)C]FPS-ZM1, a receptor for advanced glycation end products-targeting positron emission tomography radiotracer, using a [(11)C]CO2-to-[(11)C]CO chemical conversion. Future Med. Chem. 12, 511–521. doi: 10.4155/fmc-2019-0329

PubMed Abstract | CrossRef Full Text | Google Scholar

Lv, C., Wang, L., Liu, X., Cong, X., Yan, S. S., Wang, Y., et al. (2014). Geniposide attenuates oligomeric Abeta(1-42)-induced inflammatory response by targeting RAGE-dependent signaling in BV2 cells. Curr. Alzheimer Res. 11, 430–440. doi: 10.2174/1567205011666140514111204

PubMed Abstract | CrossRef Full Text | Google Scholar

Lv, C., Wang, L., Liu, X., Yan, S., Yan, S. S., Wang, Y., et al. (2015). Multi-faced neuroprotective effects of geniposide depending on the RAGE-mediated signaling in an Alzheimer mouse model. Neuropharmacology 89, 175–184. doi: 10.1016/j.neuropharm.2014.09.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Maesako, M., Zoltowska, K. M., and Berezovska, O. (2019). Synapsin 1 promotes Abeta generation via BACE1 modulation. PLoS One 14:e0226368. doi: 10.1371/journal.pone.0226368

PubMed Abstract | CrossRef Full Text | Google Scholar

Mankoff, D. A., and Katz, S. I. (2018). PET imaging for assessing tumor response to therapy. J. Surg. Oncol. 118, 362–373. doi: 10.1002/jso.25114

PubMed Abstract | CrossRef Full Text | Google Scholar

McCluskey, S. P., Plisson, C., Rabiner, E. A., and Howes, O. (2020). Advances in CNS PET: the state-of-the-art for new imaging targets for pathophysiology and drug development. Eur. J. Nucl. Med. Mol. Imaging 47, 451–489. doi: 10.1007/s00259-019-04488-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Nam, J. H., Park, K. W., Park, E. S., Lee, Y. B., Lee, H. G., Baik, H. H., et al. (2012). Interleukin-13/-4-induced oxidative stress contributes to death of hippocampal neurons in abeta1-42-treated hippocampus in vivo. Antioxid Redox Signal 16, 1369–1383. doi: 10.1089/ars.2011.4175

PubMed Abstract | CrossRef Full Text | Google Scholar

Nasser, M. W., Wani, N. A., Ahirwar, D. K., Powell, C. A., Ravi, J., Elbaz, M., et al. (2015). RAGE mediates S100A7-induced breast cancer growth and metastasis by modulating the tumor microenvironment. Cancer Res. 75, 974–985. doi: 10.1158/0008-5472.can-14-2161

PubMed Abstract | CrossRef Full Text | Google Scholar

Nebel, R. A., Aggarwal, N. T., Barnes, L. L., Gallagher, A., Goldstein, J. M., Kantarci, K., et al. (2018). Understanding the impact of sex and gender in Alzheimer’s disease: a call to action. Alzheimers Dement 14, 1171–1183. doi: 10.1016/j.jalz.2018.04.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Nelson, A. R., Sweeney, M. D., Sagare, A. P., and Zlokovic, B. V. (2016). Neurovascular dysfunction and neurodegeneration in dementia and Alzheimer’s disease. Biochim. Biophys. Acta 1862, 887–900. doi: 10.1016/j.bbadis.2015.12.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Nenna, A., Spadaccio, C., Lusini, M., Ulianich, L., Chello, M., and Nappi, F. (2015). Basic and clinical research against advanced glycation end products (AGEs): new compounds to tackle cardiovascular disease and diabetic complications. Recent Adv. Cardiovasc. Drug. Discov. 10, 10–33. doi: 10.2174/1574890110666151104120039

PubMed Abstract | CrossRef Full Text | Google Scholar

Passamonti, L., Rodriguez, P. V., Hong, Y. T., Allinson, K. S., Williamson, D., Borchert, R. J., et al. (2017). 18F-AV-1451 positron emission tomography in Alzheimer’s disease and progressive supranuclear palsy. Brain 140, 781–791.

Google Scholar

Paudel, Y. N., Angelopoulou, E., Piperi, C., Othman, I., Aamir, K., and Shaikh, M. F. (2020). Impact of HMGB1, RAGE, and TLR4 in Alzheimer’s disease (AD): from risk factors to therapeutic targeting. Cells 9:383. doi: 10.3390/cells9020383

PubMed Abstract | CrossRef Full Text | Google Scholar

Piras, S., Furfaro, A. L., Piccini, A., Passalacqua, M., Borghi, R., Carminati, E., et al. (2014). Monomeric Abeta1-42 and RAGE: key players in neuronal differentiation. Neurobiol. Aging 35, 1301–1308. doi: 10.1016/j.neurobiolaging.2014.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Qi, L., Chen, Z., Wang, Y., Liu, X., Liu, X., Ke, L., et al. (2017). Subcutaneous liraglutide ameliorates methylglyoxal-induced Alzheimer-like tau pathology and cognitive impairment by modulating tau hyperphosphorylation and glycogen synthase kinase-3beta. Am. J. Transl. Res. 9, 247–260.

Google Scholar

Qiu, L., Ng, G., Tan, E. K., Liao, P., Kandiah, N., and Zeng, L. (2016). Chronic cerebral hypoperfusion enhances Tau hyperphosphorylation and reduces autophagy in Alzheimer’s disease mice. Sci. Rep. 6:23964.

Google Scholar

Rabinovici, G. D., Furst, A. J., O’Neil, J. P., Racine, C. A., Mormino, E. C., Baker, S. L., et al. (2007). 11C-PIB PET imaging in Alzheimer disease and frontotemporal lobar degeneration. Neurology 68, 1205–1212. doi: 10.1212/01.wnl.0000259035.98480.ed

CrossRef Full Text | Google Scholar

Ray, R., Juranek, J. K., and Rai, V. (2016). RAGE axis in neuroinflammation, neurodegeneration and its emerging role in the pathogenesis of amyotrophic lateral sclerosis. Neurosci. Biobehav. Rev. 62, 48–55. doi: 10.1016/j.neubiorev.2015.12.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Robertson, J. S., Rowe, C. C., and Villemagne, V. L. (2017). Tau imaging with PET: an overview of challenges, current progress, and future applications. Q. J. Nucl. Med. Mol. Imaging 61, 405–413.

Google Scholar

Saint-Aubert, L., Lemoine, L., Chiotis, K., Leuzy, A., Rodriguez-Vieitez, E., and Nordberg, A. (2017). Tau PET imaging: present and future directions. Mol. Neurodegener. 12:19.

Google Scholar

Shan, L. (2004). (99m)Tc-Labeled Anti-Receptor for Advanced Glycation Endproducts Polyclonal Antibody F(ab’)2 Fragments. Bethesda, MD: Molecular Imaging and Contrast Agent Database (MICAD).

Google Scholar

Sole, M., Esteban-Lopez, M., Taltavull, B., Fabregas, C., Fado, R., Casals, N., et al. (2019). Blood-brain barrier dysfunction underlying Alzheimer’s disease is induced by an SSAO/VAP-1-dependent cerebrovascular activation with enhanced Abeta deposition. Biochim. Biophys. Acta Mol. Basis Dis. 1865, 2189–2202. doi: 10.1016/j.bbadis.2019.04.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Son, S. M., Jung, E. S., Shin, H. J., Byun, J., and Mook-Jung, I. (2012). Abeta-induced formation of autophagosomes is mediated by RAGE-CaMKKbeta-AMPK signaling. Neurobiol. Aging 33, 1006.e11–23.

Google Scholar

Sparvero, L. J., Asafu-Adjei, D., Kang, R., Tang, D., Amin, N., Im, J., et al. (2009). RAGE (Receptor for Advanced Glycation Endproducts), RAGE ligands, and their role in cancer and inflammation. J. Transl. Med. 7:17. doi: 10.1186/1479-5876-7-17

PubMed Abstract | CrossRef Full Text | Google Scholar

Srikanth, V., Maczurek, A., Phan, T., Steele, M., Westcott, B., Juskiw, D., et al. (2011). Advanced glycation endproducts and their receptor RAGE in Alzheimer’s disease. Neurobiol. Aging 32, 763–777. doi: 10.1016/j.neurobiolaging.2009.04.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Tekabe, Y., Luma, J., Einstein, A. J., Sedlar, M., Li, Q., Schmidt, A. M., et al. (2010). A novel monoclonal antibody for RAGE-directed imaging identifies accelerated atherosclerosis in diabetes. J. Nucl. Med. 51, 92–97. doi: 10.2967/jnumed.109.064659

PubMed Abstract | CrossRef Full Text | Google Scholar

Valotassiou, V., Malamitsi, J., Papatriantafyllou, J., Dardiotis, E., Tsougos, I., Psimadas, D., et al. (2018). SPECT and PET imaging in Alzheimer’s disease. Ann. Nucl. Med. 32, 583–593.

Google Scholar

Villemagne, V. L., Burnham, S., Bourgeat, P., Brown, B., Ellis, K. A., Salvado, O., et al. (2013). Amyloid beta deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer’s disease: a prospective cohort study. Lancet Neurol. 12, 357–367. doi: 10.1016/s1474-4422(13)70044-9

CrossRef Full Text | Google Scholar

Wan, W., Cao, L., Liu, L., Zhang, C., Kalionis, B., Tai, X., et al. (2015). Abeta(1-42) oligomer-induced leakage in an in vitro blood-brain barrier model is associated with up-regulation of RAGE and metalloproteinases, and down-regulation of tight junction scaffold proteins. J. Neurochem. 134, 382–393. doi: 10.1111/jnc.13122

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, M. Y., Ross-Cisneros, F. N., Aggarwal, D., Liang, C. Y., and Sadun, A. A. (2009). Receptor for advanced glycation end products is upregulated in optic neuropathy of Alzheimer’s disease. Acta Neuropathol. 118, 381–389. doi: 10.1007/s00401-009-0513-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, X., Yu, S., Hu, J. P., Wang, C. Y., Wang, Y., Liu, H. X., et al. (2014). Streptozotocin-induced diabetes increases amyloid plaque deposition in AD transgenic mice through modulating AGEs/RAGE/NF-kappaB pathway. Int. J. Neurosci. 124, 601–608. doi: 10.3109/00207454.2013.866110

PubMed Abstract | CrossRef Full Text | Google Scholar

Wells, J. A., Holmes, H. E., O’Callaghan, J. M., Colgan, N., Ismail, O., Fisher, E. M., et al. (2015). Increased cerebral vascular reactivity in the tau expressing rTg4510 mouse: evidence against the role of tau pathology to impair vascular health in Alzheimer’s disease. J. Cereb. Blood Flow. Metab. 35, 359–362. doi: 10.1038/jcbfm.2014.224

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolf, S., Haase-Kohn, C., Lenk, J., Hoppmann, S., Bergmann, R., Steinbach, J., et al. (2011). Expression, purification and fluorine-18 radiolabeling of recombinant S100A4: a potential probe for molecular imaging of receptor for advanced glycation endproducts in vivo? Amino. Acids 41, 809–820. doi: 10.1007/s00726-010-0822-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Wong, K. H., Riaz, M. K., Xie, Y., Zhang, X., Liu, Q., Chen, H., et al. (2019). Review of current strategies for delivering alzheimer’s disease drugs across the blood-brain barrier. Int. J. Mol. Sci. 20:381. doi: 10.3390/ijms20020381

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, B., Wang, Y., Shi, C., Chen, Y., Yu, L., Li, J., et al. (2019). Ribosylation-derived advanced glycation end products induce tau hyperphosphorylation through brain-derived neurotrophic factor reduction. J. Alzheimers Dis. 71, 291–305. doi: 10.3233/jad-190158

PubMed Abstract | CrossRef Full Text | Google Scholar

Xue, J., Rai, V., Singer, D., Chabierski, S., Xie, J., Reverdatto, S., et al. (2011). Advanced glycation end product recognition by the receptor for AGEs. Structure 19, 722–732. doi: 10.1016/j.str.2011.02.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, S. D., Chen, X., Fu, J., Chen, M., Zhu, H., Roher, A., et al. (1996). RAGE and amyloid-beta peptide neurotoxicity in Alzheimer’s disease. Nature 382, 685–691.

Google Scholar

Zhang, Z., Liu, S., Shi, R., and Zhao, G. (2011). miR-27 promotes human gastric cancer cell metastasis by inducing epithelial-to-mesenchymal transition. Cancer Genet. 204, 486–491. doi: 10.1016/j.cancergen.2011.07.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: AD, RAGE, PET, [18F]-FPS-ZM1, senile plaques, neurofibrillary tangles

Citation: Kong Y, Liu C, Zhou Y, Qi J, Zhang C, Sun B, Wang J and Guan Y (2020) Progress of RAGE Molecular Imaging in Alzheimer’s Disease. Front. Aging Neurosci. 12:227. doi: 10.3389/fnagi.2020.00227

Received: 16 March 2020; Accepted: 29 June 2020;
Published: 04 August 2020.

Edited by:

Woon-Man Kung, Chinese Culture University, Taiwan

Reviewed by:

Linjing Mu, ETH Zürich, Switzerland
Muh-Shi Lin, Kuang Tien General Hospital, Taiwan
Hiroshi Matsuda, National Center of Neurology and Psychiatry, Japan

Copyright © 2020 Kong, Liu, Zhou, Qi, Zhang, Sun, Wang and Guan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Bomin Sun, c2JtMTEyMjRAcmpoLmNvbS5jbg==; Jiao Wang, am83MTdAc2h1LmVkdS5jbg==; Yihui Guan, Z3VhbnlpaHVpQGhvdG1haWwuY29t

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