PubMed HealthSearch

PubMed · 2489501

[Sialolithiasis].

Abstract

The calcified structures that form within the parenchymal tissues or the canal of the salivatory glands are called salivatory stones or sialolithiasis. They contain calcium phosphate, 74.3%; calcium carbonate 11.1%; soluble salt, 6.2%; organic elements, 2.2% and water. The stones are formed by the precipitation of calcified structures around a nucleus that is made of the foreign bodies in the gland, desquamated epithelial cells, degradation products of the bacteria or the bacteria itself. 83% of the salivatory stones is found in the submandibular gland, 10% of them belongs to the parotid and the sublingual gland comes up with 7%. Aside from the major salivatory glands, the minor ones also contain stones. The stones can be classified as anterior, posterior and intraglandular according to the position. The unilateral stones, usually, when reached to the considerable size, cause to partial or total obstruction of the canals. We examined the two cases that have stones localized within the canals of submandibular gland when we were unable to use the sialography technique because of the obstruction the ultrasoundography was our other choice we had direct measurements of the stones and the gland both. After the operation a chemical analysis showed that the stones include calcium and magnesium as cations and phosphate and carbonate as anions.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Y Günaydin, K Karakurumer, A Oztürk, M Sahin. 1989. [Sialolithiasis].. https://pubmed.ncbi.nlm.nih.gov/2489501/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans