Genetically predicted metabolites mediate the causal associations between autoimmune thyroiditis and immune cells

被引:2
作者
Chen, Yongzhao [1 ]
Jiang, Bo [2 ]
Qu, Cheng [2 ]
Jiang, Chaoyu [2 ]
Zhang, Chen [2 ]
Wang, Yanxue [2 ]
Chen, Fei [3 ]
Sun, Xitai [4 ]
Su, Lei [2 ]
Luo, Yuqian [5 ]
机构
[1] Nanjing Univ Chinese Med, Nanjing Drum Tower Hosp, Dept Gen Surg, Affiliated Hosp, Nanjing, Peoples R China
[2] Nanjing Univ, Nanjing Drum Tower Hosp, Dept Gen Surg, Affiliated Hosp,Med Sch, Nanjing, Peoples R China
[3] Southern Med Univ, Zhujiang Hosp, Gen Surg Ctr, Dept Thyroid Surg, Guangzhou, Peoples R China
[4] Nanjing Univ Chinese Med, Nanjing Drum Tower Hosp, Dept Gen Surg, Div Pancreas & Metab Surg,Affiliated Hosp, Nanjing, Peoples R China
[5] Nanjing Univ, Nanjing Drum Tower Hosp, Clin Med Res Ctr, Affiliated Hosp,Med Sch, Nanjing, Peoples R China
来源
FRONTIERS IN ENDOCRINOLOGY | 2024年 / 15卷
基金
中国国家自然科学基金;
关键词
autoimmune thyroiditis; immune cells; metabolites; Mendelian randomization; mediation effects; MENDELIAN RANDOMIZATION; T-CELLS; INSTRUMENTS; LEPTIN; EPIDEMIOLOGY; DISEASES; COMPLEX; CHOLINE; BIAS;
D O I
10.3389/fendo.2024.1424957
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction We aimed to comprehensively investigate the causal relationship between 731 immune cell traits and autoimmune thyroiditis (AIT) and to identify and quantify the role of 1400 metabolic traits as potential mediators in between.Methods Using summary-level data from genome-wide association studies (GWAS) we performed a two-sample bidirectional Mendelian randomization (MR) analysis of genetically predicted AIT and 731 immune cell traits. Furthermore, we used a two-step MR analysis to quantify the proportion of the total effects (that the immune cells exerted on the risk of AIT) mediated by potential metabolites.Results We identified 24 immune cell traits (with odds ratio (OR) ranging from 1.3166 6 to 0.6323) and 10 metabolic traits (with OR ranging from 1.7954 to 0.6158) to be causally associated with AIT, respectively. Five immune cell traits (including CD38 on IgD+ CD24-, CD28 on CD28+ CD45RA+ CD8br, HLA DR+ CD4+ AC, TD CD4+ %CD4+, and CD8 on EM CD8br) were found to be associated with the risk of AIT, which were partially mediated by metabolites (including glycolithocholate sulfate, 5alpha-androstan-3alpha,17beta-diol disulfate, arachidonoylcholine, X-15486, and kynurenine). The proportion of genetically predicted AIT mediated by the identified metabolites could range from 5.58% to 17.7%.Discussion Our study identified causal associations between AIT and immune cells which were partially mediated by metabolites, thus providing guidance for future clinical and basic research.
引用
收藏
页数:13
相关论文
共 70 条
  • [1] Neuroprotective and Antioxidant Activity of Arachidonoyl Choline, Its Bis-Quaternized Analogues and Other Acylcholines
    Akimov, M. G.
    Dudina, P. V.
    Fomina-Ageeva, E. V.
    Gretskaya, N. M.
    Bosaya, A. A.
    Rudakova, E. V.
    Makhaeva, G. F.
    Kagarlitsky, G. O.
    Eremin, S. A.
    Tsetlin, V. I.
    Bezuglov, V. V.
    [J]. DOKLADY BIOCHEMISTRY AND BIOPHYSICS, 2020, 491 (01) : 93 - 97
  • [2] Arachidonoylcholine and Other Unsaturated Long-Chain Acylcholines Are Endogenous Modulators of the Acetylcholine Signaling System
    Akimov, Mikhail G.
    Kudryavtsev, Denis S.
    Kryukova, Elena, V
    Fomina-Ageeva, Elena, V
    Zakharov, Stanislav S.
    Gretskaya, Natalia M.
    Zinchenko, Galina N.
    Serkov, Igor, V
    Makhaeva, Galina F.
    Boltneva, Natalia P.
    Kovaleva, Nadezhda, V
    Serebryakova, Olga G.
    Lushchekina, Sofya, V
    Palikov, Victor A.
    Palikova, Yulia
    Dyachenko, Igor A.
    Kasheverov, Igor E.
    Tsetlin, Victor, I
    Bezuglov, Vladimir V.
    [J]. BIOMOLECULES, 2020, 10 (02)
  • [3] A global reference for human genetic variation
    Altshuler, David M.
    Durbin, Richard M.
    Abecasis, Goncalo R.
    Bentley, David R.
    Chakravarti, Aravinda
    Clark, Andrew G.
    Donnelly, Peter
    Eichler, Evan E.
    Flicek, Paul
    Gabriel, Stacey B.
    Gibbs, Richard A.
    Green, Eric D.
    Hurles, Matthew E.
    Knoppers, Bartha M.
    Korbel, Jan O.
    Lander, Eric S.
    Lee, Charles
    Lehrach, Hans
    Mardis, Elaine R.
    Marth, Gabor T.
    McVean, Gil A.
    Nickerson, Deborah A.
    Wang, Jun
    Wilson, Richard K.
    Boerwinkle, Eric
    Doddapaneni, Harsha
    Han, Yi
    Korchina, Viktoriya
    Kovar, Christie
    Lee, Sandra
    Muzny, Donna
    Reid, Jeffrey G.
    Zhu, Yiming
    Chang, Yuqi
    Feng, Qiang
    Fang, Xiaodong
    Guo, Xiaosen
    Jian, Min
    Jiang, Hui
    Jin, Xin
    Lan, Tianming
    Li, Guoqing
    Li, Jingxiang
    Li, Yingrui
    Liu, Shengmao
    Liu, Xiao
    Lu, Yao
    Ma, Xuedi
    Tang, Meifang
    Wang, Bo
    [J]. NATURE, 2015, 526 (7571) : 68 - +
  • [4] Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis
    Beecham, Ashley H.
    Patsopoulos, Nikolaos A.
    Xifara, Dionysia K.
    Davis, Mary F.
    Kemppinen, Anu
    Cotsapas, Chris
    Shah, Tejas S.
    Spencer, Chris
    Booth, David
    Goris, An
    Oturai, Annette
    Saarela, Janna
    Fontaine, Bertrand
    Hemmer, Bernhard
    Martin, Claes
    Zipp, Frauke
    D'Alfonso, Sandra
    Martinelli-Boneschi, Filippo
    Taylor, Bruce
    Harbo, Hanne F.
    Kockum, Ingrid
    Hillert, Jan
    Olsson, Tomas
    Ban, Maria
    Oksenberg, Jorge R.
    Hintzen, Rogier
    Barcellos, Lisa F.
    Agliardi, Cristina
    Alfredsson, Lars
    Alizadeh, Mehdi
    Anderson, Carl
    Andrews, Robert
    Sondergaard, Helle Bach
    Baker, Amie
    Band, Gavin
    Baranzini, Sergio E.
    Barizzone, Nadia
    Barrett, Jeffrey
    Bellenguez, Celine
    Bergamaschi, Laura
    Bernardinelli, Luisa
    Berthele, Achim
    Biberacher, Viola
    Binder, Thomas M. C.
    Blackburn, Hannah
    Bomfim, Izaura L.
    Brambilla, Paola
    Broadley, Simon
    Brochet, Bruno
    Brundin, Lou
    [J]. NATURE GENETICS, 2013, 45 (11) : 1353 - +
  • [5] Statistical methods for Mendelian randomization in genome-wide association studies: A review
    Boehm, Frederick J.
    Zhou, Xiang
    [J]. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2022, 20 : 2338 - 2351
  • [6] Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
    Bowden, Jack
    Smith, George Davey
    Haycock, Philip C.
    Burgess, Stephen
    [J]. GENETIC EPIDEMIOLOGY, 2016, 40 (04) : 304 - 314
  • [7] Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
    Bowden, Jack
    Smith, George Davey
    Burgess, Stephen
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2015, 44 (02) : 512 - 525
  • [8] A review of instrumental variable estimators for Mendelian randomization
    Burgess, Stephen
    Small, Dylan S.
    Thompson, Simon G.
    [J]. STATISTICAL METHODS IN MEDICAL RESEARCH, 2017, 26 (05) : 2333 - 2355
  • [9] Burgess S, 2017, EUR J EPIDEMIOL, V32, P377, DOI 10.1007/s10654-017-0255-x
  • [10] Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods
    Burgess, Stephen
    Dudbridge, Frank
    Thompson, Simon G.
    [J]. STATISTICS IN MEDICINE, 2016, 35 (11) : 1880 - 1906