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扩张型心肌病和心肌梗死中共享的脂肪酸代谢相关特征的鉴定。

Identification of shared fatty acid metabolism related signatures in dilated cardiomyopathy and myocardial infarction.

作者信息

Huang Baoyi, Lin Hanying, Zhang Qingfang, Luo Yujun, Zhou Biyao, Zhuo Zewei, Sha Weihong, Wei Jiahui, Luo Lihua, Zhang Huajuan, Chen Kequan

机构信息

Guangzhou Medical University, Guangzhou, 511436, China.

Department of Endocrinology, The First People's Hospital of Zhaoqing, Zhaoqing, 526020, China.

出版信息

Future Sci OA. 2023 Mar 28;9(3):FSO847. doi: 10.2144/fsoa-2023-0008. eCollection 2023 Mar.

DOI:10.2144/fsoa-2023-0008
PMID:37056578
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10088053/
Abstract

AIM

It is to be elucidated the risk-predictive role of differentially expressed fatty acid metabolism related genes (DE-FRGs) in dilated cardiomyopathy (DCM) and myocardial infarction.

MATERIALS & METHODS: Four gene enrichment analyses defined DE-FRGs' biological functions and pathways. Three strategies were applied to identify risk biomarkers and construct a nomogram. The 4-DE-FRG correlation with immune cell infiltration, drugs, and ceRNA was explored.

RESULTS

DE-FRGs were enriched in lipid metabolism. A risk nomogram was established by  and , demonstrating a good ability for DCM and myocardial infarction prediction. was positively correlated with adaptive immunocytes. Thirty-five drugs are candidate therapeutic targets.

CONCLUSION

A nomogram and new biological targets for early diagnosis and treatment of DCM and myocardial infarction were provided.

摘要

目的

阐明差异表达的脂肪酸代谢相关基因(DE-FRGs)在扩张型心肌病(DCM)和心肌梗死中的风险预测作用。

材料与方法

四项基因富集分析确定了DE-FRGs的生物学功能和途径。应用三种策略识别风险生物标志物并构建列线图。探讨了4-DE-FRG与免疫细胞浸润、药物和ceRNA的相关性。

结果

DE-FRGs在脂质代谢中富集。通过[具体方法1]和[具体方法2]建立了风险列线图,显示出对DCM和心肌梗死良好的预测能力。[基因名称]与适应性免疫细胞呈正相关。35种药物是候选治疗靶点。

结论

提供了用于DCM和心肌梗死早期诊断和治疗的列线图及新的生物学靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/e6837b6bd64c/fsoa-09-847-g8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/7cf0245b6606/fsoa-09-847-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/d766d8b3d9df/fsoa-09-847-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/77a7dea7645c/fsoa-09-847-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/c1cbc221ac1c/fsoa-09-847-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/5807ec947ad2/fsoa-09-847-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/95895eadcc37/fsoa-09-847-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/e6837b6bd64c/fsoa-09-847-g8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/7cf0245b6606/fsoa-09-847-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/d766d8b3d9df/fsoa-09-847-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/77a7dea7645c/fsoa-09-847-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/c1cbc221ac1c/fsoa-09-847-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/5807ec947ad2/fsoa-09-847-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/95895eadcc37/fsoa-09-847-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febe/10088053/e6837b6bd64c/fsoa-09-847-g8.jpg

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