Skip to main content

ORIGINAL RESEARCH article

Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 15 - 2024 | doi: 10.3389/fimmu.2024.1431261
This article is part of the Research Topic Novel Approaches for Immunotherapy of Lymphoma View all 6 articles

Metabolite, immunocyte phenotype, and lymphoma: a Mendelian randomization Study

Provisionally accepted
Chenyang Fan Chenyang Fan 1,2Pengying Yuan Pengying Yuan 3*Xiangdong Yang Xiangdong Yang 1,2*Weifeng Zhang Weifeng Zhang 1,2*Xingli Wang Xingli Wang 1,2*Juan Xie Juan Xie 1,2*Jing He Jing He 1,2*Haijing Chen Haijing Chen 1,2*Lixiang Yan Lixiang Yan 1,2*Zhexin Shi Zhexin Shi 1,2*
  • 1 First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China
  • 2 National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, tianjing, China
  • 3 University Hospital of International Business and Economics, Beijing, China

The final, formatted version of the article will be published soon.

    Recent studies have confirmed that metabolites and immunocyte phenotype may be associated with the risk of lymphoma. However, the bidirectional causality between metabolites, immunocyte phenotype, disease risk, and whether immunity is an intermediate mediator between metabolism and lymphoma causality is still unclear.To elucidate the causal relationship between metabolites, immune cell phenotypes, and lymphomas, we used two-sample Mendelian randomization (MR) and two-step MR analysis.Applying large-scale genome-wide association studies (GWAS) pooled data, we selected 1400 metabolites and 731 immunocyte phenotypes with eight lymphoma subtypes for two-sample bi-directional MR analysis. In addition, we used two-step MR to quantify the proportion of metabolite effects on lymphomas mediated by immunocyte phenotype.This study yielded a bidirectional causal relationship between 17 metabolites and lymphoma and a bidirectional causal relationship between 12 immunocyte phenotypes and lymphoma.In addition, we found causal associations between metabolites and lymphomas, three groups of which were mediated by immunocyte phenotypes. Among them, CD27 on plasmablast/plasma cell (PB/PC) was a mediator of the positive association of arginine to glutamate ratio with chronic lymphocytic leukemia, with a mediator ratio of 14.60% (95% 3 CI=1.29-28.00%, P=3.17 × 10-2). Natural killer (NK) cells as a percentage of all lymphocytes(NK %lymphocyte) was a mediator of the negative association of X-18922 ( unknown metabolite ) levels with diffuse large B-cell lymphoma, with a mediation proportion of -8.940% (95% CI=-0.063-(-17.800) %, P=4.84 × 10-2). CD25 on IgD-CD24-B cell was the mediator of the positive association between X-24531 ( unknown metabolite ) levels and diffuse large B-cell lymphoma, with a mediation proportion of 13.200% (95% CI=-0.156-26.200%, P=4.73 × 10-2).In the present study, we identified a causal relationship between metabolites and lymphoma, in which immunocyte phenotypes as mediators are involved in only a minor part. The mediators by which most metabolites affect the risk of lymphoma development remain unclear and require further exploration in the future.

    Keywords: immunocyte phenotype, Mendelian randomization, Lymphoma, metabolite, intermediation factor

    Received: 11 May 2024; Accepted: 09 Sep 2024.

    Copyright: © 2024 Fan, Yuan, Yang, Zhang, Wang, Xie, He, Chen, Yan and Shi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Pengying Yuan, University Hospital of International Business and Economics, Beijing, China
    Xiangdong Yang, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China
    Weifeng Zhang, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China
    Xingli Wang, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China
    Juan Xie, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China
    Jing He, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China
    Haijing Chen, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China
    Lixiang Yan, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China
    Zhexin Shi, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.