Tear Lipidomics
Tear Lipidomics - Related Videos
08:16
Phenol Red Thread-based Sampling Procedure for Untargeted Tear Fluid Lipidomics in Biomarker Discovery
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2025
This protocol describes a unique clinical protocol for collecting human tear fluid samples using phenol red threads and liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based workflow to discover the tear lipidomic profile. The simple methyl tert-butyl ether (MTBE)/methanol biphasic separation method enables rapid tear lipid extraction with high recovery for tear biomarker discovery.
11:46
Shotgun Lipidomics of Rodent Tissues
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Cited by 1 •
2022
Shotgun mass spectrometry-based lipidomics delivers a sensitive quantitative snapshot of a broad spectrum of lipid classes simultaneously in a single measurement from various rodent tissues.
09:58
Lipidomics and Transcriptomics in Neurological Diseases
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Cited by 13 •
2022
This article presents a modular protocol for tissue lipidomics and transcriptomics, and plasma lipidomics in neurological disease mouse models targeting lipids underlying inflammation and neuronal activity, membrane lipids, downstream messengers, and mRNA-encoding enzymes/receptors underlying lipid function. Sampling, sample processing, extraction, and quantification procedures are outlined.
04:38
A Novel Technique of Rescuing Capsulorhexis Radial Tear-out using a Cystotome
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Cited by 4 •
2011
Capsulorhexis is an important step in phacoemulsification surgery. A surgeon creates a continous curvilinear tear on the anterior lens capsule by controlling the tearing vector forces. A peripherally extended tear is a serious complication. This video demonstrates a novel technique of rescuing capsular radial tear out using a cystotome.
07:45
Tear-Derived Exosomal miR-15a as New Diagnostic Tool for Diabetic Retinopathy
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Cited by 1 •
2025
This article describes a protocol for the collection and detection of miR-15a from tears as a new diagnostic tool for diabetic retinopathy.
FAQs
The tear-film lipid layer helps limit evaporation from the tear film and contributes to surface stability. Tear lipidomics examines the molecular composition underlying these functions by measuring lipid classes including wax esters, cholesteryl esters, phospholipids, and sphingolipids. This molecular detail allows researchers to relate changes in lipid composition to altered protection of the ocular surface.
Measuring several lipid classes provides a broader profile of tear-film composition than analyzing one molecule alone. Wax esters, cholesteryl esters, phospholipids, and sphingolipids can be identified and quantified together, creating a molecular pattern for comparison. These profiles help researchers examine how the tear-film lipid layer may differ across ocular-surface conditions.
Comparing tear lipid profiles between different clinical conditions can reveal molecular differences associated with dry eye disease, inflammation, or meibomian gland dysfunction. The comparisons connect measurable changes in tear composition with the tear-film lipid layer and its protective functions. This approach can help investigate disease mechanisms without relying only on broader clinical observations.
The workflow begins with collection of tear samples, followed by extraction of their lipid content. Chromatographic separation then helps distinguish the lipid components before mass spectrometry identifies and quantifies them. Together, these steps convert a tear sample into a detailed lipid profile that can be compared across samples, conditions, or treatment evaluations.
Chromatographic separation organizes the extracted tear lipids into distinguishable components, while mass spectrometry supports their identification and quantification. Using both approaches produces more informative measurements than a general assessment of the tear sample. The resulting data can show which lipid classes are present and support comparisons of their measured profiles.
In medicine, this analysis is useful for studying the molecular basis of dry eye disease, inflammation, and meibomian gland dysfunction. It also supports biomarker discovery by identifying lipid-profile features associated with ocular-surface conditions. In treatment research, repeated or comparative measurements can help evaluate targeted treatments through changes in the measured tear-lipid profile.