Pelvic organ prolapse is a common condition, affecting up to a third of women throughout their lifetime. Genetic factors are believed to account for about 30% of the incidence, and are the least understood component of the disorder. Familial cases, particularly those in which prolapse manifests in young women, are especially valuable in the effort to find the genes involved. We recently reported autosomal dominant transmission as the most likely mode of inheritance, based on a collection of families with high incidence of prolapse. Of greatest interest was a family in which three generations of female relatives suffered from prolapse at a very young age. A genome-wide linkage scan performed using the Affymetrix GeneChip Human mapping 10K array identified ten regions with a LOD score of 1.5, the maximum possible for this family. Candidate genes within those regions were analyzed for expression in vaginal tissue by RT-PCR. Of the genes confirmed to be expressed, LAMC1 was further evaluated by sequencing and select single nucleotide polymorphism (SNP) genotyping for causative sequence variants in affected family members. We identified one such SNP, rs10911193. The rare T variant segregating with the condition is present at a frequency of 4.9% in the general population and 22% among probands from our cohort of families. It affects the binding site for NFIL3, a transcription factor that we verified to be co-expressed in vaginal tissue. Altogether these data suggest that a polymorphism in the promoter of LAMC1 may increase the susceptibility to early-onset pelvic organ prolapse.
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http://dx.doi.org/10.1007/s00439-006-0267-1 | DOI Listing |
Eur J Trauma Emerg Surg
January 2025
Faculty of Medicine, University of Zurich, Raemistrasse 71, 8006, Zurich, Switzerland.
Introduction: Pelvic ring fractures are known to be associated with complications associated with adjacent organ injuries, such as the urogenital tract (e.g. erectile dysfunction (ED), which are sometimes diagnosed in a delayed fashion.
View Article and Find Full Text PDFSurg Radiol Anat
January 2025
Department of Anatomy, Jagiellonian University Medical College, Mikołaja Kopernika 12, Kraków, 33-332, Poland.
Introduction: The anterior division of the internal iliac artery (ADIIA) is a crucial vascular structure that supplies blood to the pelvic organs, perineum, and gluteal region. The present study demonstrates practical data concerning the anatomy of the ADIIA and its branches. It is hoped that the results of the current study may aid in localizing the pelvic arteries effectively.
View Article and Find Full Text PDFInt Urogynecol J
January 2025
Division of Health Services Research & Implementation Science, Southern California Permanente Medical Group, San Diego, CA, USA.
Introduction And Hypothesis: This manuscript is part of the International Urogynecological Consultation (IUC) on Pelvic Organ Prolapse (POP), Chapter 3, Committee 1 focusing on pessary management of POP.
Methods: A narrative review was conducted by an international, multi-disciplinary group of clinicians working in the field of pelvic health following a search of the literature using the MeSH terms "pelvic organ prolapse" OR "urogenital prolapse" OR "vaginal prolapse" OR "uterovaginal prolapse" AND "pessary" OR "support device" OR "intravaginal device." Relevant studies, as determined after review using the Covidence manuscript review platform, were included.
Int Urogynecol J
January 2025
Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06511, USA.
Introduction And Hypothesis: Perineorrhaphy with levator myorrhaphy is considered a standard part of colpocleisis. Typically, this is done through a separate incision after colpocleisis is completed. We present a video to demonstrate a modified approach to LeFort colpocleisis incorporating perineorrhaphy into the procedure.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Radiology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.
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