Evidence map›Paper›PMID 39717392›Full record

ArticleInternational journal of women's health2024

Genetic Causality of Hypothyroidism and Adverse Pregnancy Outcomes: A Combined Mendelian Randomisation Study and Bioinformatics Analysis.

Zichen Feng, Chunxiao Dang, Zhiwei Xu, Yongchen Zhang

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Article in International journal of women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Zichen FengCollege of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, People's Republic of China.
Chunxiao DangFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, People's Republic of China.
Zhiwei XuCollege of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, People's Republic of China.
Yongchen ZhangCollege of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Observational studies have shown that hypothyroidism is strongly associated with adverse pregnancy outcomes, and that thyroxine during pregnancy comes mainly from the mother; therefore, thyroid defects in women may lead to problems such as miscarriage due to hormonal instability in early pregnancy, and foetal neurological deficits in mid- to late gestation, but whether there is a genetic causality between the two is still a matter of some controversy. Objective: Goal to investigate the possible causal association between hypothyroidism and unfavorable pregnancy outcomes through the use of bioinformatics and Mendelian randomization (MR). Methods: We used Mendelian randomization (MR) analyses using single nucleotide polymorphism (SNP) sites as instrumental variables to infer causal associations between exposures and outcomes. The inverse variance weighting method was primarily used in the analysis. Heterogeneity and horizontal multiplicity tests were also conducted to evaluate the results' robustness and the degree of causality. Lastly, preliminary bioinformatics analyses were conducted to investigate the underlying biological mechanisms. Results: The resultant variance inverse weighting method found that hypothyroidism increased the risk of developing gestational hypertension (OR=1.054, 95% CI: 1.002-1.110 P=0.042) and poor foetal growth (OR=1.081, 95% CI:1.005-1.162 P=0.035). Heterogeneity tests, multiplicity tests and leave-one-out sensitivity analyses did not reveal any heterogeneity or multiplicity effects in the estimated effects of these three exposure factors on the risk of ovarian dysfunction. Conclusion: Our research establishes genetically the causal relationship between pregnancy-related hypertension, hypothyroidism, and poor fetal growth-a relationship that could be linked to endosomal and cellular transport.

Indexed as

adverse pregnancy outcomeshypothyroidismintegrated bioinformaticsMendelian randomization

Identifiers

PMID39717392
PMCPMC11665139

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