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肾移植受者外周血淋巴细胞亚群监测与新型冠状病毒肺炎的相关性

Correlation between peripheral lymphocyte subsets monitoring and COVID-19 pneumonia in kidney transplant recipients.

作者信息

Zhuang Quan, Zhu Jiang, Peng Bo, Zhu Yi, Cheng Ke, Ming Yingzi

机构信息

Transplantation Center, Third Xiangya Hospital, Central South University, Changsha, 410013, China.

Key Laboratory of Translational Research in Transplantation Medicine of National Health Commission, Third Xiangya Hospital, Central South University, Changsha, 410013, China.

出版信息

BMC Infect Dis. 2025 Mar 27;25(1):426. doi: 10.1186/s12879-025-10581-7.

Abstract

OBJECTIVES

In kidney transplant recipients (KTRs), immune monitoring of peripheral lymphocyte subsets (PLS) reflects the real immune status and aids in the diagnosis of the occurrence and development of infectious diseases, including COVID-19. Exploring the PLS of COVID-19 pneumonia in KTRs is important.

METHODS

In this study, a total of 103 KTRs were divided into mild pneumonia (MP) and severe pneumonia (SP) groups, as well as a stable group. The clinical information and PLS data were assessed via t or Mann-Whitney test and receiver operating curve analysis. Logistic regression was employed to identify the risk factors, and Spearman's correlation analysis was used to identify correlations.

RESULTS

Lymphopenia is a common manifestation of COVID-19 in KTRs, and it is positively related to the severity of COVID-19 pneumonia. The CD3 + T-cell count had the highest AUC between the MP and the SP. Multiple PLS measures were found to be independent risk factors for COVID-19 pneumonia progression in KTRs.

CONCLUSIONS

This study revealed a robust correlation between PLS and severe COVID-19 pneumonia progression in KTRs. PLS monitoring could facilitate real-time diagnosis and therapy for infection, as well as timely and precisive adjustment of immunosuppression instructions, for KTRs with COVID-19.

摘要

目的

在肾移植受者(KTRs)中,对外周淋巴细胞亚群(PLS)进行免疫监测可反映真实的免疫状态,并有助于诊断包括新型冠状病毒肺炎(COVID-19)在内的传染病的发生和发展。探索KTRs中COVID-19肺炎的PLS情况具有重要意义。

方法

在本研究中,共103名KTRs被分为轻症肺炎(MP)组、重症肺炎(SP)组以及稳定组。通过t检验或曼-惠特尼检验以及受试者工作特征曲线分析来评估临床信息和PLS数据。采用逻辑回归来确定危险因素,并使用斯皮尔曼相关性分析来确定相关性。

结果

淋巴细胞减少是KTRs中COVID-19的常见表现,且与COVID-19肺炎的严重程度呈正相关。在MP组和SP组之间,CD3 + T细胞计数的曲线下面积(AUC)最高。发现多项PLS指标是KTRs中COVID-19肺炎进展的独立危险因素。

结论

本研究揭示了KTRs中PLS与重症COVID-19肺炎进展之间存在密切相关性。PLS监测有助于对感染进行实时诊断和治疗,以及对患有COVID-19的KTRs及时、精确地调整免疫抑制方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84f5/11948920/c30d487255cd/12879_2025_10581_Fig1_HTML.jpg

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