ArticleInternational journal of fertility & sterility2014
Toll-like receptors expression in follicular cells of patients with poor ovarian response.
Article in International journal of fertility & sterility, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Astaxanthin improves assisted reproductive technology outcomes in poor ovarian responders through alleviating oxidative stress, inflammation, and apoptosis: a randomized clinical trial.Journal of ovarian research · 2024Trial
- Oxidative-antioxidant status of follicular fluid in IVF patients: Influence of ovarian response and oocyte-cumulus complex morphology.JBRA assisted reproduction · 2026Article
- Gene expression analysis of ovarian follicles and stromal cells in girls with Turner syndrome.Molecular human reproduction · 2024Article
- Human closed and open apex premolar teeth express different toll-like receptor.Molecular genetics & genomic medicine · 2020Article
- Comparative evaluation of NOTCH signaling molecules in the endometrium of women with various gynecological diseases during the window of implantation.Iranian journal of basic medical sciences · 2019Article
- A comparative study on the results of agonist and antagonist protocols based on serum AMH levels in patients undergoing intracytoplasmic sperm injection.International journal of reproductive biomedicine · 2016Article
- The Effect of Estradiol and Progesterone on Toll Like Receptor Gene Expression in A Human Fallopian Tube Epithelial Cell Line.Cell journal · 2016Article
- Apolipoprotein A1 as a novel anti-implantation biomarker in polycystic ovary syndrome: A case-control study.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2015Article
- Detailed Investigation of Downstream TLR Signaling in the Follicular Cells of Women with Endometriosis.Journal of reproduction & infertilityArticle
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPoor ovarian response (POR) to gonadotropin stimulation has led to a significant decline in success rate of fertility treatment. The immune system may play an important role in pathophysiology of POR by dysfunctions of cytokines and the growth factor network, and the presence of ovarian auto-antibodies. The aim of this study is to investigate the expression of toll-like receptors (TLR) 1, 2, 4, 5, 6 and cyclooxygenase (COX) 2 genes in follicular cells and concentration of interleukin (IL)-6, IL-8 and macrophage migration inhibitory factor (MIF), as major parts of innate immunity, in follicular fluid (FF) obtained from POR women in comparison with normal women. MATERIALS AND
methodsIn this case-control study, 20 infertile POR patients and 20 normal women took part in this study and underwent controlled ovarian stimulation. The FF was obtained from the largest follicle (>18 mm). The FF was centrifuged and cellular pellet was then used for evaluation of expression of TLRs and COX2 genes by real-time PCR. FF was used for quantitative analysis for IL-6, IL-8 and MIF by enzyme-linked immunosorbent assay (ELISA).
resultsTLR1, 2, 4, 5, 6 and COX2 gene expression were significantly higher in POR (p<0.05). Concentration of IL-6, IL-8 and MIF proteins was significantly increased in POR compared with normal women (p<0.05).
conclusionThese findings support the hypothesis that the immune system may be involved in pathophysiology of POR through TLRs.
Indexed as
Identifiers
25083184PMC4107693W2279491576What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.