Evidence map›Paper›PMID 38647743›Full record

ArticleJournal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology2024

Brain-Derived Exosomal CircRNAs in Plasma Serve as Diagnostic Biomarkers for Acute Ischemic Stroke.

Xinli Jiang, Rui Zhang, Geng Lu, Yu Zhou, Jianfeng Li, Xinrui Jiang, Shuangshuang Gu, Hongwei Liang, Jun Wang

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Article in Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xinli Jiang *Department of Emergency Medicine, Nanjing Drum Tower Hospital, Nanjing Drum Tower Hospital Clinical College of Nanjing University Of Chinese Medicine, Nanjing, Jiangsu, 210008, China.
Rui Zhang *Department of Emergency Medicine, Nanjing Drum Tower Hospital, Nanjing Drum Tower Hospital Clinical College of Nanjing University Of Chinese Medicine, Nanjing, Jiangsu, 210008, China.
Geng Lu *Department of Emergency, Nanjing Drum Tower Hospital of Nanjing University, Medical School, No. 321, Zhongshan Road, Nanjing, Jiangsu, 210008, China.
Yu ZhouOriental Fortune Capital Post-Doctoral Innovation Center, Shenzhen, China.
Jianfeng LiDepartment of Emergency Medicine, Nanjing Drum Tower Hospital, Nanjing Drum Tower Hospital Clinical College of Nanjing University Of Chinese Medicine, Nanjing, Jiangsu, 210008, China.
Xinrui JiangDepartment of Emergency, Nanjing Drum Tower Hospital of Nanjing University, Medical School, No. 321, Zhongshan Road, Nanjing, Jiangsu, 210008, China.
Shuangshuang GuDepartment of Emergency, Nanjing Drum Tower Hospital of Nanjing University, Medical School, No. 321, Zhongshan Road, Nanjing, Jiangsu, 210008, China. guss2926@njglyy.com.
Hongwei LiangDepartment of Emergency, Nanjing Drum Tower Hospital, School of Life Science and Technology, China Pharmaceutical University, Nanjing, Jiangsu, 210093, China. hwliang@cpu.edu.cn.
Jun WangDepartment of Emergency Medicine, Nanjing Drum Tower Hospital, Nanjing Drum Tower Hospital Clinical College of Nanjing University Of Chinese Medicine, Nanjing, Jiangsu, 210008, China. wjgaogou@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute ischemic stroke (AIS), commonly known as stroke, is a debilitating condition characterized by the interruption of blood flow to the brain, resulting in tissue damage and neurological deficits. Early diagnosis is crucial for effective intervention and management, as timely treatment can significantly improve patient outcomes. Therefore, novel methods for the early diagnosis of AIS are urgently needed. Several studies have shown that bioactive molecules contained in extracellular vesicles, especially circRNAs, could be ideal markers for the diagnosis of many diseases. However, studies on the effects of exosomes and their circRNAs on the development and prognosis of AIS have not been reported extensively. Therefore, we explored the feasibility of using circRNAs in plasma brain-derived exosomes as biomarkers for AIS. By high-throughput sequencing, we first identified 358 dysregulated circRNAs (including 23 significantly upregulated circRNAs and 335 significantly downregulated circRNAs) in the plasma brain-derived exosomes of the brain infarct patient group compared to those of the noninfarct control group. Five upregulated circRNAs (hsa_circ_0007290, hsa_circ_0049637, hsa_circ_0000607, hsa_circ_0004808, and hsa_circ_0000097) were selected for further validation via Real-Time Quantitative Reverse Transcription PCR (qRT‒PCR) in a larger cohort based on the exclusion criteria of log2FC > 1, p < 0.05 and measurable expression. We found that the expression levels of hsa_circ_0007290, hsa_circ_0049637, hsa_circ_0000607, hsa_circ_0004808 and hsa_circ_0000097 were significantly upregulated in AIS patients and could serve as potential biomarkers for AIS with high specificity and sensitivity. Moreover, the expression levels of hsa_circ_0007290, hsa_circ_0049637, hsa_circ_0000607, hsa_circ_0004808 and hsa_circ_0000097 were also found to be positively correlated with National Institutes of Health Stroke Scale (NISS) and modified Rankin scale (mRS) scores, which indicated that the presence of these circRNAs in plasma brain-derived exosomes could also determine the progression of AIS.

Indexed as

BiomarkersExosomesIschemic StrokeRNA, CircularAgedBrainFemaleHumansMaleMiddle AgedBiomarkersRNA, CircularAcute ischemic strokeBiomarkerBrain-derived exosomescircRNAPlasma

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.