[Expression relationship and significance of NEAT1 and miR-27a-3p in serum and cerebrospinal fluid of patients with Alzheimer disease].

Q3 Medicine
北京大学学报(医学版) Pub Date : 2024-04-18
Lijie He, Chunyan Zhang, Jing Wang
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引用次数: 0

Abstract

Objective: To explore the expression relationship and significance of long chain non-coding RNA nuclear-enriched abundant transcript 1 (LncRNA NEAT1) and miR-27a-3p in serum and cerebrospinal fluid of patients with Alzheimer disease (AD).

Methods: Sixty-six AD patients received by the department of neurology of our hospital from October 2019 to September 2021 were gathered, according to the clinical dementia rating scale score, they were grouped into mild group (≤1 point, n=41) and moderate-to-severe group (>1 point, n=25). Another 66 cases of serum and cerebrospinal fluid samples from outpatient physical examination personnel were regarded as the control group. The general information on all subjects was recorded and cognition was assessed; real-time quantitative PCR was performed to measure the expression levels of miR-27a-3p and NEAT1 in serum and cerebrospinal fluid; enzyme-linked immunosorbent assay was performed to measure the protein levels of β-amyloid precursor protein cleaving enzyme 1 (BACE1), β-amyloid (Aβ) 40 and Aβ42 in cerebrospinal fluid; Spearman' s method was performed to analyze the correlation of serum miR-27a-3p and NEAT1 levels with mini-mental state examination (MMSE) and montreal cognitive assessment (MoCA) scores; Pearson method was performed to analyze the correlation between serum miR-27a-3p and NEAT1 levels and Aβ deposition standard uptake value ratio (SUVR) and cerebrospinal fluid miR-27a-3p, NEAT1, BACE1, Aβ42 and Aβ40 levels.

Results: The MMSE score [21 (17, 25), 9(7, 11) vs. 27 (21, 34)], MoCA score [17 (12, 21), 10 (7, 13) vs. 27 (21, 31)], serum miR-27a-3p level (0.55±0.13, 0.46±0.06 vs. 0.97±0.22), cerebrospinal fluid miR-27a-3p (0.48±0.10, 0.35±0.10 vs. 1.03±0.31), Aβ42 levels [(303.55±36.77) ng/L, (231.45±34.14) ng/L vs. (499.99±53.63) ng/L] and Aβ42/Aβ40 ratio (0.030±0.008, 0.022±0.007 vs. 0.048±0.010) of AD patients in mild group and moderate-to-severe group were all lower than those in the control group, and the moderate-to-severe group were lower than the mild group (all P < 0.05); the serum NEAT1 level (2.31±0.64, 3.13±0.76 vs. 1.05±0.20), SUVR (1.50±0.29, 1.76±0.52 vs. 0.74±0.15), and cerebrospinal fluid NEAT1 (3.51±1.24, 4.30±1.65 vs. 1.01±0.23) and BACE1 levels [(55.78±5.98) μg/L, (72.32±16.08) μg/L vs. (21.39±3.73) μg/L] were higher than those in the control group, and the moderate-to-severe group were higher than the mild group (all P < 0.05). Serum NEAT1 level in AD patients was positively correlated with SUVR, cerebrospinal fluid NEAT1 and BACE1 (r=0.350, 0.606, 0.341, P < 0.05), and negatively correlated with MMSE score and MoCA score (r=-0.473, -0.482, all P < 0.05); serum miR-27a-3p level was positively correlated with cerebrospinal fluid miR-27a-3p level, MMSE score and MoCA score (r=0.695, 0.424, 0.412, all P < 0.05), and negatively correlated with SUVR and cerebrospinal fluid BACE1 level (r=-0.521, -0.447, all P < 0.05).

Conclusion: The expression trends of NEAT1 and miR-27a-3p in the serum and cerebrospinal fluid of AD patients are consistent, the level of NEAT1 is increased, and the level of miR-27a-3p is decreased. The levels of the two are negatively correlated, which is related to the degree of Aβ deposition in the brain of AD patients and is involved in the progression of AD.

[阿尔茨海默病患者血清和脑脊液中 NEAT1 和 miR-27a-3p 的表达关系及意义]。
目的探讨长链非编码RNA核富集丰转录本1(LncRNA NEAT1)和miR-27a-3p在阿尔茨海默病(AD)患者血清和脑脊液中的表达关系及意义:收集我院神经内科2019年10月-2021年9月接诊的66例AD患者,根据临床痴呆评定量表评分,将其分为轻度组(≤1分,n=41)和中重度组(>1分,n=25)。另有 66 例来自门诊体检人员的血清和脑脊液样本作为对照组。记录所有受试者的一般信息并评估认知能力;采用实时定量 PCR 法检测血清和脑脊液中 miR-27a-3p 和 NEAT1 的表达水平;采用酶联免疫吸附法检测脑脊液中 β 淀粉样前体蛋白裂解酶 1(BACE1)、β 淀粉样蛋白(Aβ)40 和 Aβ42 的蛋白水平;用Spearman法分析血清miR-27a-3p和NEAT1水平与迷你精神状态检查(MMSE)和蒙特利尔认知评估(MoCA)评分的相关性;用Pearson法分析血清miR-27a-3p和NEAT1水平与Aβ沉积标准摄取值比(SUVR)和脑脊液miR-27a-3p、NEAT1、BACE1、Aβ42和Aβ40水平的相关性。结果MMSE评分[21(17,25),9(7,11) vs. 27(21,34)]、MoCA评分[17(12,21),10(7,13) vs. 27(21,31)]、血清miR-27a-3p水平(0.55±0.13、0.46±0.06 vs. 0.97±0.22)、脑脊液 miR-27a-3p (0.48±0.10、0.35±0.10 vs. 1.03±0.31)、Aβ42 水平 [(303.55±36.77)ng/L、(231.45±34.14) ng/L vs. (499.99±53.63) ng/L]、Aβ42/Aβ40比值(0.030±0.008,0.022±0.007 vs. 0.048±0.010)均低于对照组,中重度组低于轻度组(均 P < 0.05);血清NEAT1水平(2.31±0.64,3.13±0.76 vs. 1.05±0.20)、SUVR(1.50±0.29,1.76±0.52 vs. 0.74±0.15)、脑脊液NEAT1(3.51±1.24,4.30±1.65 vs. 1.01±0.23)和BACE1水平[(55.78±5.98)μg/L,(72.32±16.08)μg/L vs. (21.39±3.73)μg/L]均高于对照组,中重度组高于轻度组(均P<0.05)。AD患者血清NEAT1水平与SUVR、脑脊液NEAT1和BACE1呈正相关(r=0.350,0.606,0.341,P<0.05),与MMSE评分和MoCA评分呈负相关(r=-0.473,-0.482,均P<0.05);血清miR-27a-3p水平与脑脊液miR-27a-3p水平、MMSE评分和MoCA评分呈正相关(r=0.695,0.424,0.412,均P<0.05),与SUVR和脑脊液BACE1水平呈负相关(r=-0.521,-0.447,均P<0.05):结论:NEAT1和miR-27a-3p在AD患者血清和脑脊液中的表达趋势一致,NEAT1水平升高,miR-27a-3p水平降低。两者的水平呈负相关,这与AD患者脑内Aβ的沉积程度有关,并参与了AD的进展。
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来源期刊
北京大学学报(医学版)
北京大学学报(医学版) Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
9815
期刊介绍: Beijing Da Xue Xue Bao Yi Xue Ban / Journal of Peking University (Health Sciences), established in 1959, is a national academic journal sponsored by Peking University, and its former name is Journal of Beijing Medical University. The coverage of the Journal includes basic medical sciences, clinical medicine, oral medicine, surgery, public health and epidemiology, pharmacology and pharmacy. Over the last few years, the Journal has published articles and reports covering major topics in the different special issues (e.g. research on disease genome, theory of drug withdrawal, mechanism and prevention of cardiovascular and cerebrovascular diseases, stomatology, orthopaedic, public health, urology and reproductive medicine). All the topics involve latest advances in medical sciences, hot topics in specific specialties, and prevention and treatment of major diseases. The Journal has been indexed and abstracted by PubMed Central (PMC), MEDLINE/PubMed, EBSCO, Embase, Scopus, Chemical Abstracts (CA), Western Pacific Region Index Medicus (WPR), JSTChina, and almost all the Chinese sciences and technical index systems, including Chinese Science and Technology Paper Citation Database (CSTPCD), Chinese Science Citation Database (CSCD), China BioMedical Bibliographic Database (CBM), CMCI, Chinese Biological Abstracts, China National Academic Magazine Data-Base (CNKI), Wanfang Data (ChinaInfo), etc.
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