Circulating endometrial cells (CECs) have emerged as a new biomarker of advanced disease in women with endometriosis. The identification of several subtypes of CECs (e.g., stem cell-like, epithelial, glandular, stromal) has opened the way for characterization of endometriosis-associated CECs. This study focused on the isolation and characterization of CECs and disseminated endometrial cells (DECs) in patients with spontaneous pneumothorax (SP). The primary objective was to differentiate between cancer and non-cancer cells in patients with no previous cancer diagnosis. The MetaCell® size-based separation protocol was used to enrich CECs/DECs. Evaluation of the captured cells by 3D microscopy was performed using a NANOLIVE™ microscope using a holographic approach. Based on gene expression analysis (GEA), we can conclude that mitochondria are much more active in primary tumors compared to endometriosis tissue (e.g. MT-ND1, MT-ATP6 genes). The culture of DECs is made of stromal, stem and immune cells. In vitro culture of DECs is characterized by an increase in the epithelial marker KRT18. Similarly, NFE2L2, a proerythroid factor, is also elevated. Further, a significant decrease in the amount of stem and immune cells was observed in the cell culture of DECs. The data presented here show how morphologically plastic the changes in the mitochondrial network can be and how cells can reflect them at the level of gene expression. The markers identified could help in the accompanying diagnostic process of the spontaneous pneumothorax in women of reproductive age.
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http://dx.doi.org/10.14715/cmb/2024.70.10.4 | DOI Listing |
Sci Rep
December 2024
Department of Radiology, Stanford University, Lucile Packard Children's Hospital, 725 Welch Road, Palo Alto, CA, 94304, USA.
The purpose of this study was to evaluate whether the optimal operating points of adult-oriented artificial intelligence (AI) software differ for pediatric chest radiographs and to assess its diagnostic performance. Chest radiographs from patients under 19 years old, collected between March and November 2021, were divided into test and exploring sets. A commercial adult-oriented AI software was utilized to detect lung lesions, including pneumothorax, consolidation, nodule, and pleural effusion, using a standard operating point of 15%.
View Article and Find Full Text PDFBMC Infect Dis
December 2024
Infectious Disease Hospital of Heilongjiang Province, No. 1 Jian She Street, Hulan District, Harbin, Heilongjiang, 150500, China.
Background: Tuberculosis (TB) remains a significant global health issue. Drug-resistant TB and comorbidities exacerbate its burden, influencing treatment outcomes and healthcare utilization. Despite the growing prevalence of TB comorbidities, research often focuses on single comorbidities rather than comorbidity patterns.
View Article and Find Full Text PDFMalays J Pathol
December 2024
Tengku Ampuan Rahimah Hospital, Department of Paediatrics, Ministry of Health, Klang, Selangor, Malaysia.
Introduction: To determine the epidemiology of blood culture-positive late-onset sepsis (LOS, >72 hours of age) in 44 Malaysian neonatal intensive care units (NICUs).
Materials And Methods: Study Design: Multicentre retrospective observational study using data from the Malaysian National Neonatal Registry.
Participants: 739486 neonates (birthweight ≥500g, gestation ≥22 weeks) born and admitted in 2015-2020.
BMJ Case Rep
December 2024
Inova Fairfax Hosp, Falls Church, Virginia, USA.
A spontaneous pneumothorax may be the heralding manifestation of diffuse cystic lung disease (DCLD). Historically, these diagnoses were differentiated by unique clinical, radiographic and tissue pathology characteristics. With recent advancements in genomics, several forms of DCLD can now be diagnosed through genetic testing and patients can thereby avoid undergoing an invasive lung biopsy.
View Article and Find Full Text PDFJ Med Imaging Radiat Oncol
December 2024
Department of Radiology, Grampians Health, Ballarat Central, Victoria, Australia.
Background: CT-guided percutaneous transthoracic needle biopsy is the primary method for diagnosing lung lesions. Widely accepted validated risk prediction models are yet to be developed. A recently published study conducted at Grampians Health Services (GHS) developed two risk prediction models for predicting pneumothorax and intercostal catheter (ICC) insertion.
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