Fragmentomics of plasma mitochondrial and nuclear DNA inform prognosis in COVID-19 patients with critical symptoms.

IF 2.1 4区 医学 Q3 GENETICS & HEREDITY
Haiqiang Zhang, Lingguo Li, Yuxue Luo, Fang Zheng, Yan Zhang, Rong Xie, Rijing Ou, Yilin Chen, Yu Lin, Yeqin Wang, Yan Jin, Jinjin Xu, Ye Tao, Ruokai Qu, Wenwen Zhou, Yong Bai, Fanjun Cheng, Xin Jin
{"title":"Fragmentomics of plasma mitochondrial and nuclear DNA inform prognosis in COVID-19 patients with critical symptoms.","authors":"Haiqiang Zhang, Lingguo Li, Yuxue Luo, Fang Zheng, Yan Zhang, Rong Xie, Rijing Ou, Yilin Chen, Yu Lin, Yeqin Wang, Yan Jin, Jinjin Xu, Ye Tao, Ruokai Qu, Wenwen Zhou, Yong Bai, Fanjun Cheng, Xin Jin","doi":"10.1186/s12920-024-02022-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The mortality rate of COVID-19 patients with critical symptoms is reported to be 40.5%. Early identification of patients with poor progression in the critical cohort is essential to timely clinical intervention and reduction of mortality. Although older age, chronic diseases, have been recognized as risk factors for COVID-19 mortality, we still lack an accurate prediction method for every patient. This study aimed to delve into the cell-free DNA fragmentomics of critically ill patients, and develop new promising biomarkers for identifying the patients with high mortality risk.</p><p><strong>Methods: </strong>We utilized whole genome sequencing on the plasma cell-free DNA (cfDNA) from 33 COVID-19 patients with critical symptoms, whose outcomes were classified as survival (n = 16) and death (n = 17). Mitochondrial DNA (mtDNA) abundance and fragmentomic properties of cfDNA, including size profiles, ends motif and promoter coverages were interrogated and compared between survival and death groups.</p><p><strong>Results: </strong>Significantly decreased abundance (~ 76% reduction) and dramatically shorter fragment size of cell-free mtDNA were observed in deceased patients. Likewise, the deceased patients exhibited distinct end-motif patterns of cfDNA with an enhanced preference for \"CC\" started motifs, which are related to the activity of nuclease DNASE1L3. Several dysregulated genes involved in the COVID-19 progression-related pathways were further inferred from promoter coverages. These informative cfDNA features enabled a high PPV of 83.3% in predicting deceased patients in the critical cohort.</p><p><strong>Conclusion: </strong>The dysregulated biological processes observed in COVID-19 patients with fatal outcomes may contribute to abnormal release and modifications of plasma cfDNA. Our findings provided the feasibility of plasma cfDNA as a promising biomarker in the prognosis prediction in critically ill COVID-19 patients in clinical practice.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11451003/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Medical Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12920-024-02022-2","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The mortality rate of COVID-19 patients with critical symptoms is reported to be 40.5%. Early identification of patients with poor progression in the critical cohort is essential to timely clinical intervention and reduction of mortality. Although older age, chronic diseases, have been recognized as risk factors for COVID-19 mortality, we still lack an accurate prediction method for every patient. This study aimed to delve into the cell-free DNA fragmentomics of critically ill patients, and develop new promising biomarkers for identifying the patients with high mortality risk.

Methods: We utilized whole genome sequencing on the plasma cell-free DNA (cfDNA) from 33 COVID-19 patients with critical symptoms, whose outcomes were classified as survival (n = 16) and death (n = 17). Mitochondrial DNA (mtDNA) abundance and fragmentomic properties of cfDNA, including size profiles, ends motif and promoter coverages were interrogated and compared between survival and death groups.

Results: Significantly decreased abundance (~ 76% reduction) and dramatically shorter fragment size of cell-free mtDNA were observed in deceased patients. Likewise, the deceased patients exhibited distinct end-motif patterns of cfDNA with an enhanced preference for "CC" started motifs, which are related to the activity of nuclease DNASE1L3. Several dysregulated genes involved in the COVID-19 progression-related pathways were further inferred from promoter coverages. These informative cfDNA features enabled a high PPV of 83.3% in predicting deceased patients in the critical cohort.

Conclusion: The dysregulated biological processes observed in COVID-19 patients with fatal outcomes may contribute to abnormal release and modifications of plasma cfDNA. Our findings provided the feasibility of plasma cfDNA as a promising biomarker in the prognosis prediction in critically ill COVID-19 patients in clinical practice.

血浆线粒体和核DNA片段组学为COVID-19危重症患者的预后提供信息。
背景:据报道,COVID-19 危重症患者的死亡率为 40.5%。及早发现病情进展不佳的危重患者对于及时进行临床干预和降低死亡率至关重要。虽然高龄、慢性疾病已被认为是 COVID-19 死亡率的风险因素,但我们仍缺乏针对每位患者的准确预测方法。本研究旨在深入研究重症患者的无细胞DNA片段组学,并开发新的有前景的生物标志物,以识别高死亡率风险患者:我们对 33 名 COVID-19 重症患者的血浆无细胞 DNA(cfDNA)进行了全基因组测序,结果分为存活(16 人)和死亡(17 人)。对线粒体DNA(mtDNA)的丰度和cfDNA的片段组学特性(包括大小轮廓、末端基序和启动子覆盖率)进行了研究,并在存活组和死亡组之间进行了比较:结果:在死亡患者中观察到细胞游离 mtDNA 的丰度显著下降(约减少 76%),片段大小急剧缩短。同样,死亡患者的 cfDNA 也表现出独特的末端突变模式,更偏爱 "CC "起始突变,这与核酸酶 DNASE1L3 的活性有关。根据启动子覆盖率,进一步推断出了几个参与 COVID-19 进展相关通路的失调基因。这些信息丰富的cfDNA特征使预测临界队列中死亡患者的PPV值高达83.3%:结论:在COVID-19致死患者中观察到的生物过程失调可能会导致血浆cfDNA的异常释放和改变。我们的研究结果提供了血浆 cfDNA 作为临床实践中预测 COVID-19 重症患者预后的生物标志物的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
BMC Medical Genomics
BMC Medical Genomics 医学-遗传学
CiteScore
3.90
自引率
0.00%
发文量
243
审稿时长
3.5 months
期刊介绍: BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信