Association between gut microbiota and preeclampsia-eclampsia: a two-sample Mendelian randomization study

被引:391
作者
Li, Pengsheng [1 ,2 ]
Wang, Haiyan [1 ,2 ,3 ]
Guo, Lan [4 ]
Gou, Xiaoyan [1 ,2 ,3 ]
Chen, Gengdong [1 ,2 ]
Lin, Dongxin [1 ,2 ]
Fan, Dazhi [1 ,2 ]
Guo, Xiaoling [2 ]
Liu, Zhengping [1 ,2 ]
机构
[1] Southern Med Univ, Affiliated Foshan Matern & Child Healthcare Hosp, Foshan Fetal Med Res Inst, Foshan, Peoples R China
[2] Southern Med Univ, Affiliated Foshan Matern & Child Healthcare Hosp, Dept Obstet, 11 Renminxi, Foshan 528000, Guangdong, Peoples R China
[3] Southern Med Univ, Affiliated Foshan Matern & Child Healthcare Hosp, Foshan Fetal Med Res Inst, Biobank, Foshan, Peoples R China
[4] Sun Yat Sen Univ, Sch Publ Hlth, Dept Epidemiol, Guangzhou, Peoples R China
关键词
Preeclampsia; Eclampsia; Gut microbiota; Causal inference; Mendelian randomization study; CHAIN FATTY-ACIDS; INSTRUMENTAL VARIABLES; BLOOD-PRESSURE; TYROSINE KINASE-1; HYPERTENSION; CONTRIBUTE; BIAS;
D O I
10.1186/s12916-022-02657-x
中图分类号
R5 [内科学];
学科分类号
100201 [内科学];
摘要
Background Several recent observational studies have reported that gut microbiota composition is associated with preeclampsia. However, the causal effect of gut microbiota on preeclampsia-eclampsia is unknown. Methods A two-sample Mendelian randomization study was performed using the summary statistics of gut microbiota from the largest available genome-wide association study meta-analysis (n=13,266) conducted by the MiBioGen consortium. The summary statistics of preeclampsia-eclampsia were obtained from the FinnGen consortium R7 release data (5731 cases and 160,670 controls). Inverse variance weighted, maximum likelihood, MR-Egger, weighted median, weighted model, MR-PRESSO, and cML-MA were used to examine the causal association between gut microbiota and preeclampsia-eclampsia. Reverse Mendelian randomization analysis was performed on the bacteria that were found to be causally associated with preeclampsia-eclampsia in forward Mendelian randomization analysis. Cochran's Q statistics were used to quantify the heterogeneity of instrumental variables. Results Inverse variance weighted estimates suggested that Bifidobacterium had a protective effect on preeclampsia-eclampsia (odds ratio = 0.76, 95% confidence interval: 0.64-0.89, P = 8.03 x 10(-4)). In addition, Collinsella (odds ratio = 0.77, 95% confidence interval: 0.60-0.98, P = 0.03), Enterorhabdus (odds ratio = 0.76, 95% confidence interval: 0.62-0.93, P = 8.76 x 10(-3)), Eubacterium (ventriosum group) (odds ratio = 0.76, 95% confidence interval: 0.63-0.91, P = 2.43 x 10(-3)), Lachnospiraceae (NK4A136 group) (odds ratio = 0.77, 95% confidence interval: 0.65-0.92, P = 3.77 x 10(-3)), and Tyzzerella 3 (odds ratio = 0.85, 95% confidence interval: 0.74-0.97, P = 0.01) presented a suggestive association with preeclampsia-eclampsia. According to the results of reverse MR analysis, no significant causal effect of preeclampsia-eclampsia was found on gut microbiota. No significant heterogeneity of instrumental variables or horizontal pleiotropy was found. Conclusions This two-sample Mendelian randomization study found that Bifidobacterium was causally associated with preeclampsia-eclampsia. Further randomized controlled trials are needed to clarify the protective effect of probiotics on preeclampsia-eclampsia and their specific protective mechanisms.
引用
收藏
页数:10
相关论文
共 72 条
[1]
Global and regional estimates of preeclampsia and eclampsia: a systematic review [J].
Abalos, Edgardo ;
Cuesta, Cristina ;
Grosso, Ana L. ;
Chou, Doris ;
Say, Lale .
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY, 2013, 170 (01) :1-7
[2]
Pre-Eclampsia: Microbiota possibly playing a role [J].
Ahmadian, Elham ;
Saadat, Yalda Rahbar ;
Khatibi, Seyed Mahdi Hosseiniyan ;
Nariman-Saleh-Fam, Ziba ;
Bastami, Milad ;
Vahed, Fatemeh Zununi ;
Ardalan, Mohammadreza ;
Vahed, Sepideh Zununi .
PHARMACOLOGICAL RESEARCH, 2020, 155
[3]
Pregnant women who develop preeclampsia have lower abundance of the butyrate-producer Coprococcus in their gut microbiota [J].
Altemani, Faisal ;
Barrett, Helen L. ;
Gomez-Arango, Luisa ;
Josh, Peter ;
McIntyre, H. David ;
Callaway, Leonie K. ;
Morrison, Mark ;
Tyson, Gene W. ;
Nitert, Marloes Dekker .
PREGNANCY HYPERTENSION-AN INTERNATIONAL JOURNAL OF WOMENS CARDIOVASCULAR HEALTH, 2021, 23 :211-219
[4]
Phylogenetic relationships of butyrate-producing bacteria from the human gut [J].
Barcenilla, A ;
Pryde, SE ;
Martin, JC ;
Duncan, SH ;
Stewart, CS ;
Henderson, C ;
Flint, HJ .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2000, 66 (04) :1654-1661
[5]
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression [J].
Bowden, Jack ;
Smith, George Davey ;
Burgess, Stephen .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2015, 44 (02) :512-525
[6]
Can probiotics modulate human disease by impacting intestinal barrier function? [J].
Bron, Peter A. ;
Kleerebezem, Michiel ;
Brummer, Robert-Jan ;
Cani, Patrice D. ;
Mercenier, Annick ;
MacDonald, Thomas T. ;
Garcia-Rodenas, Clara L. ;
Wells, Jerry M. .
BRITISH JOURNAL OF NUTRITION, 2017, 117 (01) :93-107
[7]
Archaebiotics Proposed therapeutic use of archaea to prevent trimethylaminuria and cardiovascular disease [J].
Brugere, Jean-Francois ;
Borrel, Guillaume ;
Gaci, Nadia ;
Tottey, William ;
O'Toole, Paul W. ;
Malpuech-Brugere, Corinne .
GUT MICROBES, 2014, 5 (01) :5-10
[8]
Burgess S., Online sample size and power calculator for Mendelian randomization with a binary outcome
[9]
Bias due to participant overlap in two-sample Mendelian randomization [J].
Burgess, Stephen ;
Davies, Neil M. ;
Thompson, Simon G. .
GENETIC EPIDEMIOLOGY, 2016, 40 (07) :597-608
[10]
Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods [J].
Burgess, Stephen ;
Dudbridge, Frank ;
Thompson, Simon G. .
STATISTICS IN MEDICINE, 2016, 35 (11) :1880-1906