Identification of lncRNA in circulating exosomes as potential biomarkers for MCI among the elderly

The abnormal expression of lncRNA in elderly patients with mild cognitive impairment (MCI), and the ability of exosomes to stably carry non-coding RNAs provide a reliable physiological basis for exosomal lncRNA in plasma as a biomarker of MCI. This case-control study enrolled 155 patients with MCI a...

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Veröffentlicht in:Journal of affective disorders 2025-02, Vol.370, p.401-411
Hauptverfasser: Gao, Jian, Chen, Peiliang, Li, Zhihao, Zhong, Wenfang, Huang, Qingmei, Zhang, Xiru, Zhong, Yishi, Wu, Yinru, Chen, Yingjun, Song, Weiqi, You, Fangfei, Li, Shangjie, Liang, Fen, Nan, Ying, Ren, Jiaojiao, Wang, Xiaomeng, Shen, Qiaoqiao, Fu, Qi, Zhang, Xiaoxia, Ouyang, Yijiang, Ni, Jindong, Mao, Chen
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container_title Journal of affective disorders
container_volume 370
creator Gao, Jian
Chen, Peiliang
Li, Zhihao
Zhong, Wenfang
Huang, Qingmei
Zhang, Xiru
Zhong, Yishi
Wu, Yinru
Chen, Yingjun
Song, Weiqi
You, Fangfei
Li, Shangjie
Liang, Fen
Nan, Ying
Ren, Jiaojiao
Wang, Xiaomeng
Shen, Qiaoqiao
Fu, Qi
Zhang, Xiaoxia
Ouyang, Yijiang
Ni, Jindong
Mao, Chen
description The abnormal expression of lncRNA in elderly patients with mild cognitive impairment (MCI), and the ability of exosomes to stably carry non-coding RNAs provide a reliable physiological basis for exosomal lncRNA in plasma as a biomarker of MCI. This case-control study enrolled 155 patients with MCI and 155 healthy controls from a community-based population aged≥60 years. The expression profiles of lncRNA and mRNA in plasma exosomes were analyzed and validated using high-throughput RNA sequencing and qRT-PCR. Pathway enrichment analysis were performed on differentially expressed transcripts to screen for target lncRNAs and genes. Multivariate logistic regression models were used to construct clinical predictive models. The receiver operating characteristic curve was used to analyze the predictive value, with an 184-sample external database validated. 132 lncRNAs and 459 mRNAs were significantly changed in plasma exosomes of MCI patients compared to healthy controls. LINC001380, ENST00000484033, and ENST00000531087 were screened as candidate exo-lncRNAs for predicting MCI. In logistic regression models, odds ratios and 95%CI for target exo-IncRNAs in MCI patients compared to healthy controls were 1.15(1.03–1.28) for LINC001380, 1.21(1.10–1.34) for ENST00000484033, and 1.23(1.08–1.40) for ENST00000531087, respectively. ROC curve analysis showed that the AUC of the combined predicted probability of target lncRNAs was 70.0 %(64.1 %–76.0 %). In the external database, the AUC for the target genes ATP2A2 and PSEN1 was 69.5 %(61.8 %–77.15 %). This study provided evidence for the specific expression of plasma exosomal lncRNAs in MCI and its possible biological mechanism. The combined detection of the expression levels of lncRNA-LINC001380, lncRNA-ENST00000484033, and lncRNA-ENST00000531087 in plasma exosomes may provide early diagnosis and prevention of cognitive impairment. •There has been no direct evidence of lncRNA in circulating exosomes for MCI among the population.•MCI is the preclinical stage of AD and dementia, and its early diagnosis is critical to stop disease progression and avoid worsening. The abnormal expression of lncRNA in elderly patients with AD may play an essential role in the early occurrence and progression of neurological disease. As an important factor of intercellular communication, exosomes can stably carry lncRNA.•These results provide a reliable physiological basis for plasma exosomes lncRNA as a stable biomarker for the progression of co
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This case-control study enrolled 155 patients with MCI and 155 healthy controls from a community-based population aged≥60 years. The expression profiles of lncRNA and mRNA in plasma exosomes were analyzed and validated using high-throughput RNA sequencing and qRT-PCR. Pathway enrichment analysis were performed on differentially expressed transcripts to screen for target lncRNAs and genes. Multivariate logistic regression models were used to construct clinical predictive models. The receiver operating characteristic curve was used to analyze the predictive value, with an 184-sample external database validated. 132 lncRNAs and 459 mRNAs were significantly changed in plasma exosomes of MCI patients compared to healthy controls. LINC001380, ENST00000484033, and ENST00000531087 were screened as candidate exo-lncRNAs for predicting MCI. In logistic regression models, odds ratios and 95%CI for target exo-IncRNAs in MCI patients compared to healthy controls were 1.15(1.03–1.28) for LINC001380, 1.21(1.10–1.34) for ENST00000484033, and 1.23(1.08–1.40) for ENST00000531087, respectively. ROC curve analysis showed that the AUC of the combined predicted probability of target lncRNAs was 70.0 %(64.1 %–76.0 %). In the external database, the AUC for the target genes ATP2A2 and PSEN1 was 69.5 %(61.8 %–77.15 %). This study provided evidence for the specific expression of plasma exosomal lncRNAs in MCI and its possible biological mechanism. The combined detection of the expression levels of lncRNA-LINC001380, lncRNA-ENST00000484033, and lncRNA-ENST00000531087 in plasma exosomes may provide early diagnosis and prevention of cognitive impairment. •There has been no direct evidence of lncRNA in circulating exosomes for MCI among the population.•MCI is the preclinical stage of AD and dementia, and its early diagnosis is critical to stop disease progression and avoid worsening. The abnormal expression of lncRNA in elderly patients with AD may play an essential role in the early occurrence and progression of neurological disease. As an important factor of intercellular communication, exosomes can stably carry lncRNA.•These results provide a reliable physiological basis for plasma exosomes lncRNA as a stable biomarker for the progression of cognitive dysfunction.•Further exploration was needed in prospective cohort studies or gene editing animal models in a broader context.</description><identifier>ISSN: 0165-0327</identifier><identifier>ISSN: 1573-2517</identifier><identifier>EISSN: 1573-2517</identifier><identifier>DOI: 10.1016/j.jad.2024.11.029</identifier><identifier>PMID: 39528147</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Aged ; Biomarkers - blood ; Case-Control Studies ; Case-control study ; Cognitive Dysfunction - blood ; Cognitive Dysfunction - genetics ; Cognitive impairment ; Exosome ; Exosomes - genetics ; Female ; Humans ; lncRNAs ; Logistic Models ; Male ; Middle Aged ; RNA, Long Noncoding - blood ; RNA, Long Noncoding - genetics ; RNA, Messenger - blood ; RNA, Messenger - genetics ; RNA-Seq ; ROC Curve</subject><ispartof>Journal of affective disorders, 2025-02, Vol.370, p.401-411</ispartof><rights>2024</rights><rights>Copyright © 2024. Published by Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c235t-ef2e12b7c5c93bcfd6085d8a3ffde9d302fc499bb290e4c3b947dab58ec9eec13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0165032724018627$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39528147$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gao, Jian</creatorcontrib><creatorcontrib>Chen, Peiliang</creatorcontrib><creatorcontrib>Li, Zhihao</creatorcontrib><creatorcontrib>Zhong, Wenfang</creatorcontrib><creatorcontrib>Huang, Qingmei</creatorcontrib><creatorcontrib>Zhang, Xiru</creatorcontrib><creatorcontrib>Zhong, Yishi</creatorcontrib><creatorcontrib>Wu, Yinru</creatorcontrib><creatorcontrib>Chen, Yingjun</creatorcontrib><creatorcontrib>Song, Weiqi</creatorcontrib><creatorcontrib>You, Fangfei</creatorcontrib><creatorcontrib>Li, Shangjie</creatorcontrib><creatorcontrib>Liang, Fen</creatorcontrib><creatorcontrib>Nan, Ying</creatorcontrib><creatorcontrib>Ren, Jiaojiao</creatorcontrib><creatorcontrib>Wang, Xiaomeng</creatorcontrib><creatorcontrib>Shen, Qiaoqiao</creatorcontrib><creatorcontrib>Fu, Qi</creatorcontrib><creatorcontrib>Zhang, Xiaoxia</creatorcontrib><creatorcontrib>Ouyang, Yijiang</creatorcontrib><creatorcontrib>Ni, Jindong</creatorcontrib><creatorcontrib>Mao, Chen</creatorcontrib><title>Identification of lncRNA in circulating exosomes as potential biomarkers for MCI among the elderly</title><title>Journal of affective disorders</title><addtitle>J Affect Disord</addtitle><description>The abnormal expression of lncRNA in elderly patients with mild cognitive impairment (MCI), and the ability of exosomes to stably carry non-coding RNAs provide a reliable physiological basis for exosomal lncRNA in plasma as a biomarker of MCI. This case-control study enrolled 155 patients with MCI and 155 healthy controls from a community-based population aged≥60 years. The expression profiles of lncRNA and mRNA in plasma exosomes were analyzed and validated using high-throughput RNA sequencing and qRT-PCR. Pathway enrichment analysis were performed on differentially expressed transcripts to screen for target lncRNAs and genes. Multivariate logistic regression models were used to construct clinical predictive models. The receiver operating characteristic curve was used to analyze the predictive value, with an 184-sample external database validated. 132 lncRNAs and 459 mRNAs were significantly changed in plasma exosomes of MCI patients compared to healthy controls. LINC001380, ENST00000484033, and ENST00000531087 were screened as candidate exo-lncRNAs for predicting MCI. In logistic regression models, odds ratios and 95%CI for target exo-IncRNAs in MCI patients compared to healthy controls were 1.15(1.03–1.28) for LINC001380, 1.21(1.10–1.34) for ENST00000484033, and 1.23(1.08–1.40) for ENST00000531087, respectively. ROC curve analysis showed that the AUC of the combined predicted probability of target lncRNAs was 70.0 %(64.1 %–76.0 %). In the external database, the AUC for the target genes ATP2A2 and PSEN1 was 69.5 %(61.8 %–77.15 %). This study provided evidence for the specific expression of plasma exosomal lncRNAs in MCI and its possible biological mechanism. The combined detection of the expression levels of lncRNA-LINC001380, lncRNA-ENST00000484033, and lncRNA-ENST00000531087 in plasma exosomes may provide early diagnosis and prevention of cognitive impairment. •There has been no direct evidence of lncRNA in circulating exosomes for MCI among the population.•MCI is the preclinical stage of AD and dementia, and its early diagnosis is critical to stop disease progression and avoid worsening. The abnormal expression of lncRNA in elderly patients with AD may play an essential role in the early occurrence and progression of neurological disease. 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This case-control study enrolled 155 patients with MCI and 155 healthy controls from a community-based population aged≥60 years. The expression profiles of lncRNA and mRNA in plasma exosomes were analyzed and validated using high-throughput RNA sequencing and qRT-PCR. Pathway enrichment analysis were performed on differentially expressed transcripts to screen for target lncRNAs and genes. Multivariate logistic regression models were used to construct clinical predictive models. The receiver operating characteristic curve was used to analyze the predictive value, with an 184-sample external database validated. 132 lncRNAs and 459 mRNAs were significantly changed in plasma exosomes of MCI patients compared to healthy controls. LINC001380, ENST00000484033, and ENST00000531087 were screened as candidate exo-lncRNAs for predicting MCI. In logistic regression models, odds ratios and 95%CI for target exo-IncRNAs in MCI patients compared to healthy controls were 1.15(1.03–1.28) for LINC001380, 1.21(1.10–1.34) for ENST00000484033, and 1.23(1.08–1.40) for ENST00000531087, respectively. ROC curve analysis showed that the AUC of the combined predicted probability of target lncRNAs was 70.0 %(64.1 %–76.0 %). In the external database, the AUC for the target genes ATP2A2 and PSEN1 was 69.5 %(61.8 %–77.15 %). This study provided evidence for the specific expression of plasma exosomal lncRNAs in MCI and its possible biological mechanism. The combined detection of the expression levels of lncRNA-LINC001380, lncRNA-ENST00000484033, and lncRNA-ENST00000531087 in plasma exosomes may provide early diagnosis and prevention of cognitive impairment. •There has been no direct evidence of lncRNA in circulating exosomes for MCI among the population.•MCI is the preclinical stage of AD and dementia, and its early diagnosis is critical to stop disease progression and avoid worsening. The abnormal expression of lncRNA in elderly patients with AD may play an essential role in the early occurrence and progression of neurological disease. As an important factor of intercellular communication, exosomes can stably carry lncRNA.•These results provide a reliable physiological basis for plasma exosomes lncRNA as a stable biomarker for the progression of cognitive dysfunction.•Further exploration was needed in prospective cohort studies or gene editing animal models in a broader context.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>39528147</pmid><doi>10.1016/j.jad.2024.11.029</doi><tpages>11</tpages></addata></record>
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subjects Aged
Biomarkers - blood
Case-Control Studies
Case-control study
Cognitive Dysfunction - blood
Cognitive Dysfunction - genetics
Cognitive impairment
Exosome
Exosomes - genetics
Female
Humans
lncRNAs
Logistic Models
Male
Middle Aged
RNA, Long Noncoding - blood
RNA, Long Noncoding - genetics
RNA, Messenger - blood
RNA, Messenger - genetics
RNA-Seq
ROC Curve
title Identification of lncRNA in circulating exosomes as potential biomarkers for MCI among the elderly
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