Skip to content

Author

Zohreh Heidary

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Aug 2026

Mendelian randomization study of smoking exposure in relation to primary ovarian failure

Although observational data suggest a relationship between primary ovarian insufficiency (POI) and smoking, there remain questions about causality. An unhealthy lifestyle, including smoking, can accelerate the depletion of the follicular pool and the early onset of menopause. Extensive research has been conducted on the detrimental effects of tobacco smoke on the ovaries. Mendelian randomization (MR) is a method that uses genetic variants as instruments for making causal inferences about an exposure and an outcome. SNPs associated with smoking behaviors were assessed from recent work by the GWAS and Sequencing Consortium of Alcohol and Nicotine Use (GSCAN), which analyzed up to 1.2 million participants. For the exposure variable, genetic variants associated with smoking behavior were selected, specifically focusing on the quantitative trait cigarettes per day (CPD)—the average number of cigarettes smoked daily by ever-smokers. We then applied GWAS summary statistics from FinnGen consortium data for POI. The dataset included 254 POF cases and 118,228 controls. We identified 22 SNPs associated with CPD to serve as instrumental variables. Genetic predisposition to higher cigarettes per day showed a suggestive but nonsignificant association with increased POI risk (OR = 1.443, 95% CI: 0.731–2.849, P = .289). We found limited evidence for an association between genetically predicted cigarettes per day and POI and indicate that moderate effects cannot be ruled out. There was little evidence of heterogeneity [QIVW = 21.19, P = .447; QEgger = 21.16, P = .387; I2 = 5.5%, 95% CI: 0.0%, 38.2%; I2GX = 97.24%] and pleiotropy [MR-Eggerintercept = 0.0063, P = .872; MR-PRESSOGlobal Test = 0.516]. This finding was consistently supported across multiple analytical methods. We found no strong evidence of a causal association between genetically predicted cigarettes per day and POI under the current study design; however, moderate effects cannot be excluded.

Danial Habibi, M. Zaki-Dizaji, Reza Saeedinia et al. · 0 citations
Open access Jul 2026

Altered Expression of GABPB1-IT1 and SLC9A3-AS1 Long Non-Coding RNAs in Recurrent Implantation Failure

Background: Recurrent implantation failure (RIF) impairs assisted reproductive technology (ART) success, though its mechanisms remain unclear. Studies have implicated altered miRNA expression in the plasma and endometrium of patients with RIF. In this study, long non-coding RNA (lncRNA) expression in plasma was investigated, using RIF-specific lncRNA-miRNA-mRNA network as guide. Methods: This study included 30 women with RIF and 30 age-matched controls (Not RIF). RIF miRNA RNA-seq data (GSE108966) was downloaded from the Gene Expression Omnibus (GEO) database and used to identify differentially expressed miRNAs. Next, miRNet 2.0 database was used to integrate the latest miRNA-mRNA interactions; also, the linkages between lncRNA and miRNA were identified and the networks created. Plasma samples were collected from participants during the implantation window. Cell-free RNA was extracted from 500 μl of plasma using the TRIzol method, and statistical analyses were performed using Prism version 8.0. Results: Based on a lncRNA-miRNA-mRNA network analysis, two lncRNAs, including GABPB1-IT1 and SLC9A3-AS1, were selected for expression analysis in plasma. Notably, GABPB1-IT1 and SLC9A3-AS1 were significantly downregulated in RIF samples compared to controls. Conclusion: Our findings show that GABPB1-IT1 and SLC9A3-AS1 are significantly downregulated in the plasma of women with recurrent implantation failure. These findings suggest their potential involvement in RIF and warrant further studies to elucidate their biological functions and evaluate their utility as non-invasive biomarkers.

M. Zaki-Dizaji, Amir Ebrahimi, Behnoosh Jamshidi et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.