miRNA MARKER FOR DIAGNOSIS AND/OR TREATMENT OF ALZHEIMER'S DISEASE
The disclosure provides a miRNA marker for the treatment and/or diagnosis of Alzheimer's disease (AD), and the miRNA marker is a miRNA23 cluster. The disclosure provides use of the miRNA23 cluster in the diagnosis and treatment of AD. The expression of the miRNA23 cluster is detected using primers for the microRNA marker through AD model cells, AD model animals and natural aging animals, and blood of AD patients, and it is found that the expression of the miRNA23 cluster is significantly reduced during the progression of AD, which reduces neuronal apoptosis by inhibiting the GSK-3β-mediated tau protein phosphorylation. Therefore, the miRNA23 cluster can be used as a novel biomarker and therapeutic target for the early, non-invasive diagnosis and treatment of AD.
This patent application claims the benefit and priority of Chinese Patent Application No. 2019110783208, filed on Nov. 6, 2019, with the name “miRNA marker for diagnosis and/or treatment of alzheimer's disease”, the disclosure of which is incorporated by reference herein in its entirety as part of the present application.
TECHNICAL FIELDThe disclosure relates to the field of biotechnology, and in particular, to the use of a microRNA (miRNA for short) marker for diagnosing and/or treating Alzheimer's disease (AD).
BACKGROUNDAt present, Alzheimer's disease (AD) is defined as a neurodegenerative disease with senile plaques, neurofibrillary tangles, and neuron loss as main pathological features, which is mainly characterized by progressive memory impairment, cognitive impairment, and neuropsychiatric symptoms such as personality changes and language disorders. Existing studies have shown that amyloid-beta peptide (AD) hypothesis, tau protein hyperphosphorylation hypothesis, and cholinergic imbalance hypothesis are the main pathogenetic theories in the pathological process of AD, and most of the drugs currently in clinical research are also based on the above hypotheses. At present, there are mainly the following problems in the prevention and treatment of AD: lack of non-invasive and early diagnostic biomarkers, unclear pathological mechanisms, and lack of credible drug targets. Therefore, seeking reliable diagnostic markers for AD and elucidating the pathogenesis of AD are scientific problems that need to be solved urgently in the prevention and treatment of AD so far. Studies have shown that familial Alzheimer's disease (FAD) involves mutation of genes such as PSEN1, PSEN2, and APP, which can be found through early genetic screening. However, specific pathogenic genes associated with sporadic Alzheimer's disease (SAD) have not been reported so far, and patients with SAD account for 95% of the total AD patients. In the study of SAD, targeting disease-modified specific functional genes is of great significance for the prevention, treatment, and discovery of clinical biomarkers in AD.
SUMMARYTo this end, the examples of the disclosure provide a miRNA marker for the diagnosis of AD to solve the problem that there is no diagnostic marker for AD at the gene level at present.
To achieve the foregoing objective, the examples of the disclosure provide the following technical solutions:
The disclosure provides a miRNA marker for diagnosing and/or treating AD, and the miRNA marker is a miRNA23 cluster.
Preferably, the miRNA23 cluster is selected from hsa-miR-23b, with a nucleotide sequence shown in SEQ ID NO. 1;
the miRNA23 cluster is selected from hsa-miR-23b-3p, with a nucleotide sequence shown in SEQ ID NO. 2.
The examples of the disclosure further provide use of a primer in the preparation of a kit, and the primer is a primer specific for the miRNA marker described above.
Preferably, the kit is used to diagnose AD, predict the risk of developing AD, or predict the outcome of AD in patients suffering from or at risk of developing AD.
Preferably, the primer is used to determine the expression level of the miRNA marker in a sample.
Preferably, the sample is serum.
Preferably, the expression level of the miRNA marker is based on the expression level of the miRNA marker in a patient and the reference expression level of the miRNA marker in a healthy subject.
Preferably, the expression level of the miRNA marker is determined by a sequencing-based method, an array-based method, or a PCR-based method.
The examples of the disclosure further provide use of an agonist for the miRNA marker described above in the preparation of a medicament for treating AD.
In an example of the disclosure, the expression of the microRNA of miRNA23 cluster is reduced during AD, which inhibits the GSK-3β-mediated tau protein phosphorylation to reduce the apoptosis of neuronal cells. The miRNA of miRNA23 cluster is:
(1) The miRNA23 cluster is selected from the following: (a) classification of microRNAs, where, the miRNA 23b is selected from hsa-miR-23b, with a sequence shown in SEQ ID NO. 1: cucaggugcucuggcugcuuggguuccuggcaugcugauuugugacuuaagauuaaaaucacauugccag ggauuaccacgcaaccacgaccuuggc, and the default mature body (hsa-miR-23b-3p) thereof has a sequence shown in SEQ ID NO. 2: aucacauugccagggauuaccac; and (b) modified derivatives of microRNAs; or microRNAs or modified miRNA derivatives with the same or substantially the same functions as microRNAs length of 18 nt to 26 nt.
The examples of the disclosure provide a preparation and a medicament, which are agonists for the microRNA in (1).
The examples of the disclosure have the following advantages:
The examples of the disclosure show that the miRNA23 cluster plays a role in the diagnosis and treatment of AD. The expression of the miRNA23 cluster is detected using primers and/or probes for the microRNA marker through AD model cells, AD model animals and natural aging animals, and blood samples of AD patients, and it is found that the expression of the miRNA23 cluster is significantly reduced during the progression of AD. Therefore, the miRNA23 cluster can be used as a novel AD marker for the early diagnosis of AD. The examples of the disclosure show that the up-regulation of miRNA23 cluster decreases the expression of GSK-3β, inhibits the tau protein phosphorylation, and reduces neuronal apoptosis; the down-regulation of miRNA23 cluster increases the tau protein phosphorylation level and promotes the neuronal apoptosis; the miRNA23 cluster exerts the neuroprotective effect by down-regulating the expression of GSK-3β during the progression of AD. Collectively, the examples of the disclosure reveal the functions of the miRNA23 cluster in AD. Based on the above findings, the miRNA23 cluster can be used as a new therapeutic target and an early non-invasive diagnostic biomarker for AD, which provides a new idea and technique for the specific-target therapy using the miRNA23 cluster.
In order to more clearly illustrate the implementations of the disclosure or the technical solutions in the prior art, the following will briefly introduce the figures that need to be used in the description of the implementations or the prior art. It should be noted that these figures in the following description only give typical examples, and other implementation figures can be derived from the provided figures without creative work for ordinary skill in the art.
The implementation of the disclosure will be illustrated below in conjunction with specific examples. Those skilled in the art can easily understand other advantages and effects of the disclosure from the content disclosed in this specification. Obviously, the described examples are merely a part rather than all of the examples of the disclosure. All other examples obtained by a person of ordinary skill in the art based on the examples of the disclosure without creative efforts shall fall within the protection scope of the disclosure.
In the examples of the disclosure, the term “expression level” refers to a measured expression level compared with a reference nucleic acid (for example, from a control), or a calculated average expression value (for example, in RNA microarray analysis). A specified “expression level” can also be used as a result and determined by the comparison and measurement of a plurality of nucleic acids of interest disclosed below, and show the relative abundance of these transcripts with each other. The expression level can also be evaluated relative to the expression of different tissues, patients versus healthy controls, etc.
In the context of the disclosure, a “sample” or “biological sample” is a sample that is derived from or has been in contact with a biological organism. Examples of biological samples are cells, tissues, body fluids, biopsy samples, blood, urine, saliva, sputum, plasma, serum, cell culture supernatant, etc.
A “gene” is a nucleic acid segment that carries the information necessary to produce a functional RNA product in a controlled manner. A “gene product” is a biomolecule produced by gene transcription or expression, such as mRNA or translated protein.
“miRNA” is a short, naturally occurring RNA molecule and should have the general meaning understood by those skilled in the art. A “miRNA-derived molecule” is a molecule obtained from a miRNA template chemically or enzymatically, such as cDNA.
In the examples of the disclosure, the term “array” refers to an arrangement of addressable positions on a device (such as a chip device). The number of locations can vary from a few to at least hundreds or thousands. Each position represents an independent reaction site. Arrays include, but are not limited to, nucleic acid arrays, protein arrays, and antibody arrays. “Nucleic acid array” refers to an array including nucleic acid probes, such as oligonucleotides, polynucleotides, or large portions of genes. The nucleic acids on the array are preferably single-stranded.
“PCR-based method” refers to a method involving polymerase chain reaction (PCR). This is a method of exponentially amplifying nucleic acids “such as DNA or RNA” using one, two or more primers to replicate enzymatically in vitro. For RNA amplification, reverse transcription can be used as the first step. PCR-based methods include kinetic or quantitative PCR (qPCR), particularly suitable for analyzing expression levels. When it achieves the determination of the expression level, for example, a PCR-based method can be used to detect the presence of a given mRNA, which reverse transcribes a complete mRNA library (the so-called transcriptome) into cDNA with the help of reverse transcriptase. The presence of a given cDNA is detected with the help of corresponding primers. This method is commonly referred to as reverse transcriptase PCR (RT-PCR).
In the examples of the disclosure, the term “PCR-based method” includes both end-point PCR applications and kinetic/real-time PCR techniques using special fluorophores or intercalating dyes, which emit fluorescent signals as functions of amplification targets and allow monitoring and quantification of the targets.
In the examples of the disclosure, the term “marker” or “biomarker” refers to a biomolecule whose presence or concentration can be detected and associated with known conditions (such as a disease state) or clinical outcomes (such as response to treatment), such as nucleic acids, peptides, proteins, and hormones.
Example 1 Detection of Aberrant Expression of miR-23b in Brain Tissues of AD Model Animals and WT Animals Using Microarray1, 3, 6, and 9-month-old APP/PS1 double-transgenic mice were selected, RNA was extracted from the brain tissues of the mice, and miRNA was labeled. The miRNA of miRNA23 cluster in the examples of the disclosure was hsa-miR-23b, with a sequence shown in SEQ ID NO. 1: cucaggugcucuggcugcuuggguuccuggcaugcugauuugugacuuaa gauuaaaaucacauugccagggauuaccacgcaaccacgaccuuggc. The default mature body (hsa-miR-23b-3p) thereof had a sequence shown in SEQ ID NO. 2: aucacauugccagggauuaccac. The mature body (hsa-miR-23b-3p) miRNA involved: reverse transcription primer: SEQ ID NO. 3: gtcgtatcca gtgcagggtc cgaggtattcgcactggatacgacgtggta; quantitative PCR (qPCR) forward primer: SEQ ID NO. 4: cgatcacattgccagggat; and reverse primer: SEQ ID NO. 5: agtgcagggtccgaggtatt. Then the sample was hybridized on the miRCURY™ LNA Array (v.18.0). A microarray was scanned with Axon GenePix 4000B microarray scanner, and the original data were analyzed using GenePix pro V6.0 software. As shown in
An AD cell model with Cu2+-induced damage to APPswe cells was constructed, and the expression change of miR-23b during the pathological process of the AD cell model was detected by the qPCR technology. As shown in A of
The hippocampal and cortical tissues were collected from 1, 3, 6 and 9-month-old APP/PS1 double-transgenic mice and senescence-accelerated mouse/prone 8 (SAMP8) mice, and the qPCR technology was adopted to detect the expression changes of miR-23b during the pathological process of AD. As shown in B and C of
The serum of patients who were clinically diagnosed with AD were collected, and the qPCR technology was adopted to detect the miR-23b expression in the serum of the AD patients. As shown in D of
An in-vitro model with up-regulated miR-23b expression was established by transfecting miR-23b mimics into AD model cells, and the MTS colorimetric method was utilized to detect cell viability. As shown in A and B of
An in-vitro model with up-regulated miR-23b expression was established by transfecting miRNA mimics into AD model cells, and flow cytometry (FC) was utilized to detect cell apoptosis. As shown in C and D of
miRNA target gene prediction software (TargetScan and miRanda) was used to predict the binding site of miR-23b with GSK3B, and a fragment of about 150 bp upstream and downstream of the binding site was selected and cloned to the downstream of the luciferase reporter gene to construct a luciferase reporter vector Luc-GSK3B-WT. Based on the principle of changing the base arrangement, a mutant luciferase reporter vector Luc-GSK3B-MUT was constructed, as shown in A and B of
The in-vitro models with up-regulated or down-regulated miR-23b expression were established by transfecting miRNA mimics/inhibitor into AD model cells. The qPCR technology was utilized to detect the GSK-3βmRNA expression in the cells, and the Western Blot technology was utilized to detect the expression of GSK-3β protein in the cells. As shown in D to F of
The in-vitro models with up-regulated or down-regulated miR-23b expression were established by transfecting miRNA mimics/inhibitor into AD model cells, and the Western Blot technology was utilized to detect the phosphorylation of tau protein at Ser396 site and the expression of apoptosis-related proteins Bax and caspase-3. As shown in
An in-vitro model with up-regulated miR-23b expression was established by transfecting miR-23b mimics into AD model cells, and FC and Western Blot were utilized to detect the apoptosis rate, phosphorylation of tau protein at Ser396 site, and apoptosis-related proteins Bax and caspase-3. Moreover, the over-expression of GSK-3β was achieved by a transfection method, and then the above methods were tested again. As shown in A and B of
6-month-old APP/PS1 mice were selected and intracerebroventricularly injected with miR-23b adeno-associated virus (AAV) and negative control AAV. The Morris water maze test was used to detect the changes in the learning and memory functions of APP/PS1 mice. As shown in
The hippocampal and cortical tissues were collected from 1, 3, 6, and 9-month-old APP/PS1 double-transgenic mice and 3, 6, and 9-month-old SAMP8 mice, separately. The qPCR technology was utilized to detect the miR-23b expression in the hippocampal and cortical tissues, and the Western Blot technology was adopted to detect the expression level of related proteins in the hippocampal and cortical tissues.
As shown in A to D of
As shown in E to H of
The test results of Examples 1 to 11 of the disclosure show that the expression of the miRNA23 cluster is significantly reduced during the pathological process of AD, which has a function to delay the progression of AD by down-regulating the expression of GSK-3β, inhibiting the phosphorylation of tau protein, and reducing the cell apoptosis of neuronal cells. The miRNA23 cluster is expected to become a new target for the diagnosis and treatment of AD.
Although the disclosure has been described in detail above with general descriptions and specific examples, it will be apparent to those skilled in the art that some modifications or improvements can be made on the basis of the disclosure. Therefore, all these modifications or improvements made without departing from the spirit of the disclosure fall within the scope of the disclosure.
Claims
1.-22. (canceled)
23. Use of an agonist for a miRNA marker in the preparation of a medicament for treating AD, wherein the miRNA marker is a miRNA23 cluster; and the miRNA23 cluster is hsa-miR-23b, with a nucleotide sequence shown in SEQ ID NO. 1; or the miRNA23 cluster is hsa-miR-23b-3p, with a nucleotide sequence shown in SEQ ID NO. 2.
24. Use of a primer in the preparation of a kit, wherein, the primer is a primer specific for the miRNA marker according to claim 23.
25. The use according to claim 24, wherein, the kit is used to diagnose AD, predict the risk of developing AD, or predict the outcome of AD in patients suffering from or at risk of developing AD.
26. The use according to claim 24, wherein the primer is used to determine the expression level of the miRNA marker in a sample.
27. The use according to claim 26, wherein the sample is serum.
28. The use according to claim 26, wherein, the expression level of the miRNA marker is based on the expression level of the miRNA marker in a patient and the reference expression level of the miRNA marker in a healthy subject.
29. The use according to claim 28, wherein, the expression level of the miRNA marker is determined by a sequencing-based method, an array-based method, or a PCR-based method.
30. The use according to claim 28, wherein, the expression level of the miRNA marker is determined by a sequencing-based method, an array-based method, or a PCR-based method.
Type: Application
Filed: Apr 14, 2020
Publication Date: Aug 18, 2022
Applicant: INSTITUTE OF MEDICINAL BIOTECHNOLOGY, CHINES ACADEMY OF MEDICAL SCIENCES AND PEKING UNION MEDICAL (Beijing)
Inventors: Rui LIU (Beijing), Zhuorong LI (Beijing), Li ZENG (Beijing), Hailun JIANG (Beijing), Ting SUN (Beijing), Mimin LIU (Beijing), Junxia ZHANG (Beijing)
Application Number: 17/614,414