Volume 27, Issue 3 e15017
LETTER TO THE EDITOR

Integrated bioinformatics analysis reveals vital genes and immune infiltration for the co-occurrence of Epstein–Barr virus-related infectious mononucleosis and systemic lupus erythematosus

Yuchen Liu

Yuchen Liu

Division of Infectious Diseases, Department of Internal Medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Clinical Epidemiology Unit, Peking Union Medical College, International Clinical Epidemiology Network, Beijing, China

Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

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Lifan Zhang

Corresponding Author

Lifan Zhang

Division of Infectious Diseases, Department of Internal Medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Clinical Epidemiology Unit, Peking Union Medical College, International Clinical Epidemiology Network, Beijing, China

Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Correspondence

Lifan Zhang, Division of Infectious Diseases, Department of Internal Medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.

Email: [email protected]

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First published: 05 March 2024

Yuchen Liu and Lifan Zhang contributed equally to this study.

No abstract is available for this article.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available in GEO at https://www.ncbi.nlm.nih.gov/geo, reference number 1314. These data were derived from the following resources available in the public domain: - GSE45919, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45919 - GSE81622, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE81622.

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