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pmid:32265614

A comprehensive analysis of sialolith proteins and the clinical implications.

Carlos S Busso · Jessie J Guidry · Jhanis J Gonzalez · Vassilia Zorba · Leslie S Son · Peter J Winsauer · Rohan R Walvekar

Clinical proteomics · 2020 doi:10.1186/s12014-020-09275-w

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complete

Experiment

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Data

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pmid:32265614
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title
A comprehensive analysis of sialolith proteins and the clinical implications.
doi
10.1186/s12014-020-09275-w
pmid
32265614
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Carlos S Busso
[1]
Jessie J Guidry
[2]
Jhanis J Gonzalez
[3]
Vassilia Zorba
[4]
Leslie S Son
[5]
Peter J Winsauer
[6]
Rohan R Walvekar
journal
Clinical proteomics
year
2020
abstract
BACKGROUND: Sialolithiasis or salivary gland stones are associated with high clinical morbidity. The advances in the treatment of sialolithiasis has been limited, however, by our understanding of their composition. More specifically, there is little information regarding the formation and composition of the protein matrix, the role of mineralogical deposition, or the contributions of cell epithelium and secretions from the salivary glands. A better understanding of these stone characteristics could pave the way for future non-invasive treatment strategies. METHODS: Twenty-nine high-quality ductal stone samples were analyzed. The preparation included successive washings to avoid contamination from saliva and blood. The sialoliths were macerated in liquid nitrogen and the maceration was subjected to a sequential, four-step, protein extraction. The four fractions were pooled together, and a standardized aliquot was subjected to tandem liquid chromatography mass spectrometry (LCMS). The data output was subjected to a basic descriptive statistical analysis for parametric confirmation and a subsequent G.O.-KEGG data base functional analysis and classification for biological interpretation. RESULTS: The LC-MS output detected 6934 proteins, 824 of which were unique for individual stones. An example of our sialolith protein data is available via ProteomeXchange with the identifier PXD012422. More important, the sialoliths averaged 53% homology with bone-forming proteins that served as a standard comparison, which favorably compared with 62% homology identified among all sialolith sample proteins. The non-homologous protein fraction had a highly variable protein identity. The G.O.-KEGG functional analysis indicated that extracellular exosomes are a primary cellular component in sialolithiasis. Light and electron microscopy also confirmed the presence of exosomal-like features and the presence of intracellular microcrystals. CONCLUSION: Sialolith formation presents similarities with the hyperoxaluria that forms kidney stones, which suggests the possibility of a common origin. Further verification of a common origin could fundamentally change the way in which lithiasis is studied and treated.
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This assumption was confirmed using a Kormogolov–Smirnof test for normality.
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All data generated or analyzed during this study are included in the published article in supplementary files. Representative raw data generated or analyzed during the project are available in the repository (link)
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A comprehensive protein profile analysis from clinical Sialoliths and its practical implications
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Discrimination between homologous and non-homologous proteins from maxillary bone across sialolith samples (a), basic statistics (b) and degree of homology distribution histogram (c)
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Bio-functional characterization of sialolith samples
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lineage object · 4 fields
parent_id
pmid:32265614
parent_hash
sha256:2ca0d18dfca024b37173f93bc5f013161a5ea2abac172d21d95174c01d1df782
fork_of
null
gaps array · 7 items
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asset:data:geo:PXD012422 licence not read
[1]
asset:data:geo:PXD012422 not downloaded
[2]
execution.not_run
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method.reader_named_unmapped
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 1 item
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role
data_generation
definition_id
mass_spectrometry
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
as subjected to tandem liquid chromatography mass spectrometry (LCMS). The data output was subjected to a b
order_basis
paper_text_order:1001
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32265614", "kind": "science-record", "revision": 4, "content_hash": "sha256:3c18f2c1c94664afd83e0647b441a452bbc493098afd6d9d059b1afb21d92556", "created_at": "2026-11-01T15:40:59Z", "updated_at": "2026-11-01T21:23:04Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A comprehensive analysis of sialolith proteins and the clinical implications.", "doi": "10.1186/s12014-020-09275-w", "pmid": "32265614", "authors": ["Carlos S Busso", "Jessie J Guidry", "Jhanis J Gonzalez", "Vassilia Zorba", "Leslie S Son", "Peter J Winsauer", "Rohan R Walvekar"], "journal": "Clinical proteomics", "year": 2020, "abstract": "BACKGROUND: Sialolithiasis or salivary gland stones are associated with high clinical morbidity. The advances in the treatment of sialolithiasis has been limited, however, by our understanding of their composition. More specifically, there is little information regarding the formation and composition of the protein matrix, the role of mineralogical deposition, or the contributions of cell epithelium and secretions from the salivary glands. A better understanding of these stone characteristics could pave the way for future non-invasive treatment strategies.\nMETHODS: Twenty-nine high-quality ductal stone samples were analyzed. The preparation included successive washings to avoid contamination from saliva and blood. The sialoliths were macerated in liquid nitrogen and the maceration was subjected to a sequential, four-step, protein extraction. The four fractions were pooled together, and a standardized aliquot was subjected to tandem liquid chromatography mass spectrometry (LCMS). The data output was subjected to a basic descriptive statistical analysis for parametric confirmation and a subsequent G.O.-KEGG data base functional analysis and classification for biological interpretation.\nRESULTS: The LC-MS output detected 6934 proteins, 824 of which were unique for individual stones. An example of our sialolith protein data is available via ProteomeXchange with the identifier PXD012422. More important, the sialoliths averaged 53% homology with bone-forming proteins that served as a standard comparison, which favorably compared with 62% homology identified among all sialolith sample proteins. The non-homologous protein fraction had a highly variable protein identity. The G.O.-KEGG functional analysis indicated that extracellular exosomes are a primary cellular component in sialolithiasis. Light and electron microscopy also confirmed the presence of exosomal-like features and the presence of intracellular microcrystals.\nCONCLUSION: Sialolith formation presents similarities with the hyperoxaluria that forms kidney stones, which suggests the possibility of a common origin. 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