Nucleolar organizer regions (NOR) have DNA loops containing genes that encode for ribosomal RNA; some proteins located near the NORs are argyrophilic and by Ploton's one step method we could quantify the NORs in sections of paraffin embedded tissues. We have evaluated the number of intranuclear dots in 46 parathyroid glands from 18 parathyroidectomies. The glands were weighed and the stromal fat was evaluated by a point-counting method. AgNORs were counted in 100 cells from each gland. The mean count was 3.03 in six adenomas (A), 2.39 in six cases of primary hyperparathyroidism (PH) and 2.63 in six cases of secondary hyperparathyroidism (SH). Statistical analysis performed by Mann-Whitney U test showed that differences between A and PH groups were significant. The difference between A and SH was also significant. The residual parathyroid tissue surrounding the adenoma had a significantly lower AgNOR mean count than adenomatous cells. The AgNOR mean number can be useful in assessing normal or suppressed parathyroid tissue.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Polyp and tumor microenvironment reprogramming in colorectal cancer: insights from mucosal bacteriome and metabolite crosstalk.
Ann Clin Microbiol Antimicrob
January 2025
Department of Science and Environment, Roskilde University, Roskilde, Denmark.
Background: Highly frequent colorectal cancer (CRC) is predicted to have 3.2 million novel cases by 2040. Tumor microenvironment (TME) bacteriome and metabolites are proposed to be involved in CRC development.
View Article and Find Full Text PDFMaintaining operability at a high personal cost - a mixed method study on maternal healthcare workers' experiences during the COVID-19 pandemic.
BMC Health Serv Res
January 2025
Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Introduction: The COVID-19 pandemic forced leaders and employees in health care services to take difficult decisions to manage risks associated with employee health and the organizations' functioning. This study aims to identify the changes in employee working routines, job demands, and job resources within Swedish maternal healthcare during the COVID-19 pandemic, and how these changes affected workload and health.
Methods: Data were derived from the longitudinal COPE Staff study involving midwives and physicians within maternal healthcare.
Identifying mechanisms that shape the food environment in long-term healthcare facilities in the Netherlands: a participatory system dynamics approach.
BMC Public Health
January 2025
Chair group Consumption and Healthy Lifestyles, Wageningen University & Research, Wageningen, The Netherlands.
Background: Creating healthy and sustainable food environments within long-term healthcare facilities asks for a systemic approach. This study aimed to: (1) identify system dynamics underlying the food environment of long-term healthcare facilities, (2) formulate actions for changing the system to promote a healthy and sustainable food environment and (3) evaluate stakeholder perspectives about the process and progress towards action implementation up to one-year follow-up.
Methods: A group model building (GMB) approach was used during two workshops with stakeholders of five different long-term healthcare facilities in the Netherlands.
Post COVID glaucoma service redesign utilising electronic patient triage and community optometry clinics (Fife, Scotland 2020-2022).
BMC Ophthalmol
January 2025
Ophthalmology Unit, Queen Margaret Hospital, NHS Fife, Dunfermline, UK.
Background: COVID-19 caused a huge backlog of patients in glaucoma clinics. This study describes redesign of an entire glaucoma service with electronic patient triage to three levels and utilisation of the Scottish optometry infrastructure of upskilled optometrists.
Methods: 2276 patients in glaucoma clinics were identified and triaged to three levels in keeping with Glauc-strat-fast guidance with local amendments.
Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh.
BMC Public Health
January 2025
Department of Statistics and Data Science, Jahangirnagar University, Dhaka, 1342, Bangladesh.
Background: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDGs). Machine Learning models are one of the best tools for making more accurate and efficient forecasts and gaining in-depth knowledge.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!