Literature DB >> 15849225

Caffeine intake, CYP1A2 polymorphism and the risk of recurrent pregnancy loss.

Fumihiro Sata1, Hideto Yamada, Kana Suzuki, Yasuaki Saijo, Emi H Kato, Mamoru Morikawa, Hisanori Minakami, Reiko Kishi.   

Abstract

Some case-control studies have demonstrated that caffeine intake and high CYP1A2 activity increase risks of recurrent pregnancy loss (RPL) but the multifactorial effect is obscure. To investigate whether susceptible women who have more caffeine intake are at high risk of RPL, a case-control study of 58 cases with two or more RPL and fertile 147 controls was performed. The association between daily caffeine intake together with CYP1A21F (AA versus CA and CC) genotype and RPL was assessed. Without consideration of the genotype, there were no significant differences of the RPL risk in proportion to daily caffeine intake [less than 100 mg (reference); 100-299 mg: odds ratio (OR), 1.29; 95% confidence interval (CI), 0.66-2.50; 300 mg or more: OR, 1.82; 95% CI, 0.72-4.58; P for trend, 0.20]. However, the RPL risk significantly increased only among women who had homozygous CYP1A21F alleles with a dosage effect of daily caffeine intake [less than 100 mg (reference); 100-299 mg: OR, 1.94; 95% CI, 0.57-6.66; 300 mg or more: OR, 5.23; 95% CI, 1.05-25.9; P for trend, 0.03]. It was demonstrated for the first time that an increase in caffeine intake deteriorates the fecundity among susceptible women.

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Year:  2005        PMID: 15849225     DOI: 10.1093/molehr/gah175

Source DB:  PubMed          Journal:  Mol Hum Reprod        ISSN: 1360-9947            Impact factor:   4.025


  17 in total

1.  PharmGKB summary: caffeine pathway.

Authors:  Caroline F Thorn; Eleni Aklillu; Ellen M McDonagh; Teri E Klein; Russ B Altman
Journal:  Pharmacogenet Genomics       Date:  2012-05       Impact factor: 2.089

2.  Caffeine, selected metabolic gene variants, and risk for neural tube defects.

Authors:  Rebecca J Schmidt; Paul A Romitti; Trudy L Burns; Jeffrey C Murray; Marilyn L Browne; Charlotte M Druschel; Richard S Olney
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2010-07

Review 3.  Towards generating caffeine-free tea by metabolic engineering.

Authors:  Sudesh Kumar Yadav; Paramvir Singh Ahuja
Journal:  Plant Foods Hum Nutr       Date:  2007-10-11       Impact factor: 3.921

4.  p53 codon 72 polymorphism and recurrent pregnancy loss: a meta-analysis.

Authors:  Wenru Tang; Xuhong Zhou; Ying Chan; Xiaomin Wu; Ying Luo
Journal:  J Assist Reprod Genet       Date:  2011-08-13       Impact factor: 3.412

5.  Current status on genome-metabolome-wide associations: an opportunity in nutrition research.

Authors:  Ivan Montoliu; Ulrich Genick; Mirko Ledda; Sebastiano Collino; François-Pierre Martin; Johannes le Coutre; Serge Rezzi
Journal:  Genes Nutr       Date:  2012-10-16       Impact factor: 5.523

Review 6.  Impacts of Caffeine during Pregnancy.

Authors:  Jingjing Qian; Qi Chen; Sean M Ward; Enkui Duan; Ying Zhang
Journal:  Trends Endocrinol Metab       Date:  2019-12-06       Impact factor: 12.015

Review 7.  Evaluation of the reproductive and developmental risks of caffeine.

Authors:  Robert L Brent; Mildred S Christian; Robert M Diener
Journal:  Birth Defects Res B Dev Reprod Toxicol       Date:  2011-03-02

8.  Caffeine consumption during early pregnancy impairs oviductal embryo transport, embryonic development and uterine receptivity in mice.

Authors:  Jingjing Qian; Yunfang Zhang; Yongcun Qu; Liwen Zhang; Junchao Shi; Xudong Zhang; Shichao Liu; Bo Hyun Kim; Sung Jin Hwang; Tong Zhou; Qi Chen; Sean M Ward; Enkui Duan; Ying Zhang
Journal:  Biol Reprod       Date:  2018-12-01       Impact factor: 4.285

9.  Interaction between maternal caffeine intake during pregnancy and CYP1A2 C164A polymorphism affects infant birth size in the Hokkaido study.

Authors:  Seiko Sasaki; Mariko Limpar; Fumihiro Sata; Sumitaka Kobayashi; Reiko Kishi
Journal:  Pediatr Res       Date:  2017-05-24       Impact factor: 3.756

Review 10.  Stress and reproductive failure: past notions, present insights and future directions.

Authors:  Katrina Nakamura; Sam Sheps; Petra Clara Arck
Journal:  J Assist Reprod Genet       Date:  2008-02-15       Impact factor: 3.412

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