Carney Complex (CNC) is a multiple neoplasia syndrome characterized by skin tumors and pigmented lesions, myxomas, and various endocrine tumors. The aim of this case report was to describe a case of CNC with a novel PRKAR1A mutation. A man aged 46 years with a medical history of surgery for cardiac myxomas at the age of 39 was admitted to our hospital because of four newly-developed heart masses. The histologic examination confirmed cardiac myxomas. He had many presentations of CNC such as growth hormone (GH) and prolactin (PRL)-secreting mixed pituitary adenoma, benign thyroid nodule, large-cell calcifying Sertoli cell tumor (LCCST), and superficial angiomyxoma. A bilateral adrenalectomy was performed because the laboratory findings suggested primary pigmented nodular adrenocortical disease (PPNAD). The pathologic examination revealed a focal unilateral PPNAD, unilateral nonpigmented adrenocortical nodule, and bilateral adrenal medullary hyperplasia. Two years after the second cardiac operation, an interatrial septum-derived tumor was detected. An atrial myxoma was confirmed with histologic studies. Based on these findings, the patient was confirmed to have CNC. A novel insertion mutation in the type 1A regulatory subunit of the cAMP-dependent protein kinase A gene (PRKAR1A) in exon 2 was detected in our patient through genetic analysis. The presence of multiple myxomas and endocrine abnormalities should be an indication to physicians to further investigate for CNC. Herein, we described a case of CNC with a novel mutation in exon 2 of the PRKAR1A gene with typical and atypical clinical features.

Download full-text PDF

Source

Publication Analysis

Top Keywords

cnc novel
12
carney complex
8
novel prkar1a
8
prkar1a mutation
8
myxomas endocrine
8
case cnc
8
cardiac myxomas
8
cnc
6
unusual presentations
4
presentations carney
4

Similar Publications

Enhancing Manufacturing Precision: Leveraging Motor Currents Data of Computer Numerical Control Machines for Geometrical Accuracy Prediction Through Machine Learning.

Sensors (Basel)

December 2024

Intelligent Manufacturing Laboratory, Production Engineering Institute, Faculty of Mechanical Engineering, University of Maribor, Smetanova ulica 17, 2000 Maribor, Slovenia.

Direct verification of the geometric accuracy of machined parts cannot be performed simultaneously with active machining operations, as it usually requires subsequent inspection with measuring devices such as coordinate measuring machines (CMMs) or optical 3D scanners. This sequential approach increases production time and costs. In this study, we propose a novel indirect measurement method that utilizes motor current data from the controller of a Computer Numerical Control (CNC) machine in combination with machine learning algorithms to predict the geometric accuracy of machined parts in real-time.

View Article and Find Full Text PDF
Article Synopsis
  • The rise of Industry 4.0 has increased the need for effective fault diagnosis in servo motors, highlighting the limitations of traditional methods that rely on expert knowledge and handcrafted features.
  • A new approach combines multi-scale convolutional neural networks (MSCNNs), long short-term memory networks (LSTM), and attention mechanisms, making it more efficient for complex industrial settings.
  • This method is optimized for deployment on edge devices through techniques like knowledge distillation and model quantization, resulting in lower computational demands while maintaining high accuracy in diagnosing faults in servo motors.
View Article and Find Full Text PDF

Using a direct knitting strategy, we successfully prepared a novel heterogeneous catalyst consisting of pyridine-bridged bis(imidazolium-2-ylidene) palladium complexes (CNC-Pd) embedded in a knitted network polymer. The resulting catalysts (HCP-CNC-Pd-d) exhibited high specific surface areas of 982 m2 g-1 with microporous and mesoporous structures. The large surface area enhances contact between the substrate and the catalytic center, while the strong chelation between CNC and the metal ion ensures the catalyst's durability.

View Article and Find Full Text PDF

Higher-end science and technology facilitate the human community with a sophisticated life despite it curses by abundant pollution. The alarming demand for sustainability pressurizes the manufacturing sector to ensure sustainable manufacturing. Since Molybdenum di sulfide (MoS) and avocado oil are known solid and liquid lubricants respectively, hence, it is a worthwhile attempt to implement the bio-based degradable avocado oil enriched with nano Molybdenum di sulfide (nMoS) particles as a potential machining fluid for CNC-end milling.

View Article and Find Full Text PDF

Microfluidic Monodispersed Microbubble Generation for Production of Cavitation Nuclei.

Micromachines (Basel)

December 2024

Department of Mechanical Engineering, The University of Memphis, Memphis, TN 38152, USA.

Microbubbles, acting as cavitation nuclei, undergo cycles of expansion, contraction, and collapse. This collapse generates shockwaves, alters local shear forces, and increases local temperature. Cavitation causes severe changes in pressure and temperature, resulting in surface erosion.

View Article and Find Full Text PDF

Want 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!