通过将可溶性 ACE2 浓度与淋巴细胞计数交叉耦合来预测维持性血液透析患者对 COVID-19 感染的易感性:一种算法方法。

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Frontiers in Medicine Pub Date : 2024-10-30 eCollection Date: 2024-01-01 DOI:10.3389/fmed.2024.1444719
Shuang Yuan, FuLei Meng, Shuai Zhou, XiaoYing Liu, XiaoMing Liu, LiHong Zhang, Tao Wang
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引用次数: 0

摘要

简介:在COVID-19大流行期间,接受维持性血液透析(MHD)的患者更容易感染病毒,死亡率也更高。由于血管紧张素转换酶 2 (ACE2) 和跨膜丝氨酸蛋白酶 S1 成员 2 (TMPRSS2) 在病毒进入人类宿主细胞的过程中起着关键作用,因此我们在 MHD 患者中调查了它们的血浆水平是否与 COVID-19 的易感性有关:方法:2022 年 12 月初解除严格的隔离措施后,我们立即在当时无 COVID-19 中心采集了患者的血样,并在随后的 2 周内观察了感染情况。采用酶联免疫吸附法测定血浆中可溶性 ACE2(sACE2)、ACE(sACE)和 TMPRSS2(sTMPRSS2)的水平。分别采用多元逻辑回归法、接收者工作特征曲线法和多重降维法对数据进行逐步检验,以确定其对易感性的独立影响、相关作用和协同作用:在符合条件的 174 名患者中,有 95 人(54.6%)在观察期内转为 COVID-19 阳性,男女比例为 1.57。与未感染者相比,在sACE浓度相当的情况下,感染者的sACE2水平明显较高,而sTMPRSS2水平较低。除 sACE2 外,与易感性相关的因素还有血液透析的年份和每次透析的时间、吸烟和合并肝炎,而淋巴细胞计数显示出一种趋势(p = 0.052)。经 MDR 方法证实,同时表现出较高 sACE2 水平和较低淋巴细胞计数的患者感染风险增加:结论:通过快速筛选出易感人群,这种算法可帮助原本易感的 MHD 患者渡过 COVID-19 变种或其他病毒性疾病爆发的难关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting susceptibility to COVID-19 infection in patients on maintenance hemodialysis by cross-coupling soluble ACE2 concentration with lymphocyte count: an algorithmic approach.

Introduction: Patients on maintenance hemodialysis (MHD) were more vulnerable to and had a higher mortality during the COVID-19 pandemic. As angiotensin converting enzyme 2 (ACE2) and transmembrane protease serine S1 member 2 (TMPRSS2) played crucial roles in viral entry into the human host cells, we therefore investigated in the MHD patients whether their plasma levels were associated with susceptibility to the COVID-19.

Methods: Blood samples were collected from the patients in our then COVID-19 free center immediately upon lifting of the stringent quarantine measures in early December of 2022 and infection situation was observed within the following 2 weeks. Plasma levels of the soluble ACE2 (sACE2), ACE (sACE) and TMPRSS2 (sTMPRSS2) were measured with ELISA method. Data were stepwisely tested for independent effect, relevant role and synergistic action on the susceptibility by multiple logistic regression, receiver operating characteristic curve and multiple dimensionality reduction (MDR) method, respectively.

Results: Among the 174 eligible patients, 95 (54.6%) turned COVID-19 positive with a male to female ratio of 1.57 during the observation period. Comparing with the uninfected, the infected had significantly higher sACE2 and lower sTMPRSS2 levels upon comparable sACE concentration. Besides the sACE2, factors associated with susceptibility were vintage and individual session time of the hemodialysis, smoking and comorbidity of hepatitis, whereas lymphocyte counts showed a tendency (p = 0.052). Patients simultaneously manifesting higher sACE2 level and lower lymphocyte counts had an increased infection risk as confirmed by the MDR method.

Conclusion: By sorting out the susceptible ones expeditiously, this algorithmic approach may help the otherwise vulnerable MHD patients weather over future wave of COVID-19 variants or outbreak of other viral diseases.

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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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