Open Medicine
(Apr 2025)
Exploring causal relationship between 41 inflammatory cytokines and marginal zone lymphoma: A bidirectional Mendelian randomization study
Hu Xinhang,
Yu Fenglei,
Peng Muyun,
Yang Zhi,
Ouyang Yifan,
Zhang Zhe,
Zhao Wangcheng,
Yi Xuyang,
Hu Huali,
Huang Xingchun,
Wang Li
Affiliations
Hu Xinhang
Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410000, China
Yu Fenglei
Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410000, China
Peng Muyun
Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410000, China
Yang Zhi
Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410000, China
Ouyang Yifan
Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410000, China
Zhang Zhe
Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410000, China
Zhao Wangcheng
Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410000, China
Yi Xuyang
Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410000, China
Hu Huali
Department of Thoracic Surgery, Hunan Rehabilitation Hospital, Changsha, 410000, China
Huang Xingchun
Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410000, China
Wang Li
Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410000, China
DOI
https://doi.org/10.1515/med-2025-1171
Journal volume & issue
Vol. 20,
no. 1
pp.
639
– 56
Abstract
Read online
Marginal zone lymphoma (MZL) is a rare subtype of non-Hodgkin lymphoma, and its diagnosis primarily relies on pathological biopsy. The study aims to investigate the causal relationships between 41 inflammatory cytokines and MZL using a two-sample bidirectional Mendelian randomization (MR) approach, providing new insights and methodologies for rapid differential diagnosis and treatment strategies.
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