极早期高血压脑出血(HICH) mRNA生物标志物的鉴定

IF 2.1 3区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Proteome Science Pub Date : 2024-11-30 DOI:10.1186/s12953-024-00237-w
Haidong Gao, Jian Zhang, Xinjun Wang, Jixin Shou, Jianye Wang, Peng Yang
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引用次数: 0

摘要

高血压脑出血是原发性高血压的重要并发症之一。因此,研究信使RNA (mRNA)生物标志物变得势在必行,提供潜在的靶点。本研究旨在阐明血液mRNA生物标志物在high - ich中的表达谱。方法:25例HICH患者组成HICH组。22名健康志愿者被招募并组成对照组。提取外周血细胞,鉴定候选mRNA。验证两组之间已确定的基因差异表达,并分析这些差异表达基因与不良事件之间的潜在关联。建立DEGs的GO和KEGG富集、加权基因共表达网络和蛋白相互作用网络。筛选目标mRNA。结果:在HICH中鉴定出3163个差异表达基因。确定了8个候选mRNA (SPI1、HK3、HCK、SYK、CD14、FCER1G、CYBB、FGR)。影响HICH发展的相关途径包括HIF-1信号、nf - κ B信号和c型凝集素受体信号。在high组中,与对照组相比,HK3、HCK、SYK、CD14、FCER1G、CYBB、FGR表达较高,SPI1表达较低。high患者的并发症发生率很高:肺部感染(84%)、癫痫(16%)、血肿扩大(20%)、胃肠道出血(48%)、营养不良(84%)和下肢深静脉血栓形成(12%)。导致肺部感染的因素包括年龄和HCK、SYK、CD14和FGR的表达升高。SPI1与癫痫有关,而其低表达与血肿增大有关。胃肠道出血与脑出血增加有关。营养不良与年龄增大、HK3、HCK、SYK、CD14、FCER1G、CYBB和FGR的表达有关。下肢深静脉血栓患者所鉴定的基因表达升高。结论:高血压脑出血中HK3、HCK、SYK、CD14、FCER1G、CYBB、FGR表达升高,SPI1表达降低。此外,年龄、HCK、SYK、CD14和FGR的表达升高是导致患者肺部感染的影响因素。
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Identification of mRNA biomarkers in extremely early hypertensive intracerebral hemorrhage (HICH).

Introduction: Hypertensive intracerebral hemorrhage (HICH) stands out as a critical complication of primary hypertension. Consequently, investigating messenger RNA (mRNA) biomarkers becomes imperative, offering potential targets. This study is conducted for elucidating the expression profile of blood mRNA biomarkers in HICH.

Methods: Twenty-five HICH patients were constituted the HICH group.Twenty-two healthy volunteers recruited and comprised the control group. Peripheral blood cells were extracted to identify candidate mRNA. The identified differential expressions of genes between the two groups were validated, and the potential associations between these differentially expressed genes and adverse events were analyzed. GO and KEGG enrichment of DEGs, Weighted Gene Co-expression Network and Protein Interaction Network were established. target mRNA was screened.

Results: The study identified 3163 differentially expressed genes in HICH. 8 candidate mRNA (SPI1, HK3, HCK, SYK, CD14, FCER1G, CYBB, FGR) were pinpointed. Associations with pathways affecting HICH development included HIF-1 signaling, NF-kappa B signaling, and C-type lectin receptor signaling. In the HICH group, higher expressions of HK3, HCK, SYK, CD14, FCER1G, CYBB, and FGR, and lower SPI1 expression compared to the control group. HICH patients experienced high rates of complications: pulmonary infection (84%), epilepsy (16%), enlarged hematoma (20%), gastrointestinal bleeding (48%), malnutrition (84%), and lower limb deep vein thrombosis (DVT) (12%). Factors contributing to pulmonary infection included age and elevated expression of HCK, SYK, CD14, and FGR. SPI1 was associated with epilepsy, while its lower expression correlated with hematoma enlargement. Gastrointestinal bleeding was linked to increased cerebral hemorrhage. Malnutrition was associated with higher age, and expressions of HK3, HCK, SYK, CD14, FCER1G, CYBB, and FGR. Patients with lower limb DVT had elevated expressions of the identified genes.

Conclusion: In hypertensive intracerebral hemorrhage, there are elevated expressions of HK3, HCK, SYK, CD14, FCER1G, CYBB, and FGR, along with reduced expression of SPI1. Furthermore, age, along with elevated expressions of HCK, SYK, CD14, and FGR, serves as influencing factors contributing to pulmonary infection in patients.

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来源期刊
Proteome Science
Proteome Science 生物-生化研究方法
CiteScore
2.90
自引率
0.00%
发文量
17
审稿时长
4.5 months
期刊介绍: Proteome Science is an open access journal publishing research in the area of systems studies. Proteome Science considers manuscripts based on all aspects of functional and structural proteomics, genomics, metabolomics, systems analysis and metabiome analysis. It encourages the submissions of studies that use large-scale or systems analysis of biomolecules in a cellular, organismal and/or environmental context. Studies that describe novel biological or clinical insights as well as methods-focused studies that describe novel methods for the large-scale study of any and all biomolecules in cells and tissues, such as mass spectrometry, protein and nucleic acid microarrays, genomics, next-generation sequencing and computational algorithms and methods are all within the scope of Proteome Science, as are electron topography, structural methods, proteogenomics, chemical proteomics, stem cell proteomics, organelle proteomics, plant and microbial proteomics. In spite of its name, Proteome Science considers all aspects of large-scale and systems studies because ultimately any mechanism that results in genomic and metabolomic changes will affect or be affected by the proteome. To reflect this intrinsic relationship of biological systems, Proteome Science will consider all such articles.
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