ArticleBMC medicine2024
NLRC5 exerts anti-endometriosis effects through inhibiting ERβ-mediated inflammatory response.
Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Molecular Insights Into Endometriosis for Early Detection and Therapeutic Targets.Reproductive sciences (Thousand Oaks, Calif.) · 2026Review
- SIRT1-mediated deacetylation of HMGB1 promotes the progression of endometriosis by regulating autophagy.Scientific reports · 2026Article
- Genome-Wide Association Study on the Estimated Breeding Values for Udder and Longevity and the Candidate Genes in Holstein-Friesian Cows in Hungary.Animals : an open access journal from MDPI · 2025Article
- Molecular mechanisms underlying the inhibition of cell migration and invasion in endometriosis: Advances in pharmacological research (Review).Biomedical reports · 2025Review
- Endometriosis: An Immunologist's Perspective.International journal of molecular sciences · 2025Review
- Effects of cold environment exposure on female reproductive health and its regulatory mechanisms.Frontiers in genetics · 2025Article
- Exploring the link between serum uric acid and endometriosis: a cross-sectional analysis utilizing NHANES data from 1999-2006.Frontiers in endocrinology · 2025Article
Corrections and comments
- Retracted
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEndometriosis is well known as a chronic inflammatory disease. The development of endometriosis is heavily influenced by the estrogen receptor β (ERβ), while NOD-like receptors (NLRs) family CARD domain-containing 5 (NLRC5) exhibits anti-inflammatory properties during endometriosis. However, whether NLRC5-mediated anti-inflammation is involved in the ERβ-mediated endometriosis is still uncertain. This study aimed to assess that relation.
methodsNine cases of eutopic endometrial tissue and ten cases of ectopic endometrial tissue were collected from patients with endometriosis, and endometrial samples from ten healthy fertile women were analyzed, and the expression levels of ERβ were quantified using immunohistochemistry (IHC). Subsequently, we constructed mouse model of endometriosis by intraperitoneal injection. We detected the expression of ERβ, NLRC5, tumor necrosis factor-alpha (TNF-α), interleukin (IL)-6, and IL-10 and measured the volume of ectopic lesions in mice with endometriosis. In vitro, human endometrial stromal cells (hESCs) were transfected respectively with ERβ-overexpressing and NLRC5-overexpressing plasmids. We then assessed the expression of ERβ and NLRC5 using quantitative real-time PCR (qRT-PCR) and western blot analysis. Furthermore, we measured the concentrations of TNF-α, IL-6, and IL-10 in the cell culture supernatant through enzyme-linked immunosorbent assay (ELISA). Additionally, we evaluated the migration and invasion ability of hESCs using transwell and wound healing assays.
resultsInhibition of NLRC5 expression promotes the development of ectopic lesions in mice with endometriosis, upregulates the expression of pro-inflammatory factors TNF-α and IL-6, and downregulates the expression of anti-inflammatory factor IL-10. The high expression of NLRC5 in endometriosis depended on the ERβ overexpression. And ERβ promoted the migration of hESCs partially depend on inflammatory microenvironment. Lastly, NLRC5 overexpression inhibited ERβ-mediated development and inflammatory response of endometriosis.
conclusionsOur results suggest that the innate immune molecule NLRC5-mediated anti-inflammation participates in ERβ-mediated endometriosis development, and partly clarifies the pathological mechanism of endometriosis, expanding our knowledge of the specific molecules related to the inflammatory response involved in endometriosis and potentially providing a new therapeutic target for endometriosis.
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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 Socratic graph.