Literature DB >> 34968765

Characterization of the thickness of the Tear Film Lipid Layer in Meibomian Gland Dysfunction using high resolution optical microscopy.

Yuqiang Bai1, William Ngo2, Safal Khanal1, Jason J Nichols3.   

Abstract

PURPOSE: To evaluate the thickness of the tear film lipid layer (TFLL) in meibomian gland dysfunction (MGD) using a high-resolution optical microscope.
METHODS: The Ocular Surface Disease Index (OSDI) and meibum grade score (MGS) were used to classify 190 subjects into four groups: normal (OSDI<13 and MGS<10), mixed (OSDI≥13 and MGS<10), asymptomatic MGD (OSDI<13 and MGS≥10), and MGD (OSDI≥13 and MGS≥10). The high-resolution optical microscope was used to capture TFLL images in vivo. The histograms of TFLL thickness were analyzed and curve-fitted using probability density functions (PDFs).
RESULTS: There were three obvious peaks in the distributions of TFLL across the groups. From the curve-fitting process, the main outcomes are displayed according to each Gaussian function with the position of peak (μ) and the summed percentage within the range of standard deviation (σ). The normal group had distribution as follows: 33.3 ± 0.005 nm, 26%; 53.9 ± 0.019 nm, 40%; 79.4 ± 0.064 nm, 12%. The mixed group had a distribution as follows: 33.8 ± 0.004 nm, 32%; 53.1 ± 0.115 nm, 21%; 71.7 ± 0.232 nm, 27%. The asymptomatic MGD group had a distribution as follows: 33.5 ± 0.004 nm, 20%; 49.2 ± 0.041 nm, 25%; 62.9 ± 0.063 nm, 47%. The MGD group had a distribution as follows: 34.3 ± 0.004 nm, 34%; 53.7 ± 0.022 nm, 28%; 74.9 ± 0.060 nm, 16%.
CONCLUSIONS: The MGD and mixed groups had the largest percentages of TFLL thicknesses fall within the thinnest modes (peak 34.3 and 33.8 nm, respectively). These data show that measures of central tendency (e.g., averages, medians) do not fully appreciate the variable distributions of TFLL across disease spectra.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Evaporative dry eye disease; Lipid layer; Meibomian gland dysfunction; Optical microscope; Tear film

Mesh:

Substances:

Year:  2021        PMID: 34968765      PMCID: PMC9058173          DOI: 10.1016/j.jtos.2021.12.011

Source DB:  PubMed          Journal:  Ocul Surf        ISSN: 1542-0124            Impact factor:   6.268


  51 in total

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Journal:  Ocul Surf       Date:  2016-07-06       Impact factor: 5.033

2.  Measurement of tear film thickness using ultrahigh-resolution optical coherence tomography.

Authors:  René M Werkmeister; Aneesh Alex; Semira Kaya; Angelika Unterhuber; Bernd Hofer; Jasmin Riedl; Michael Bronhagl; Martin Vietauer; Doreen Schmidl; Tilman Schmoll; Gerhard Garhöfer; Wolfgang Drexler; Rainer A Leitgeb; Martin Groeschl; Leopold Schmetterer
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-08-15       Impact factor: 4.799

3.  Surface relaxations as a tool to distinguish the dynamic interfacial properties of films formed by normal and diseased meibomian lipids.

Authors:  Georgi As Georgiev; Norihiko Yokoi; Slavyana Ivanova; Vesselin Tonchev; Yana Nencheva; Rumen Krastev
Journal:  Soft Matter       Date:  2014-08-14       Impact factor: 3.679

4.  Characterization of Wax Esters by Electrospray Ionization Tandem Mass Spectrometry: Double Bond Effect and Unusual Product Ions.

Authors:  Jianzhong Chen; Kari B Green; Kelly K Nichols
Journal:  Lipids       Date:  2015-07-16       Impact factor: 1.880

5.  Investigating the Role of Specific Tear Film Lipids Connected to Dry Eye Syndrome: A Study on O-Acyl-ω-hydroxy Fatty Acids and Diesters.

Authors:  Helena C Bland; Jukka A Moilanen; Filip S Ekholm; Riku O Paananen
Journal:  Langmuir       Date:  2019-02-23       Impact factor: 3.882

Review 6.  Untargeted lipidomic analysis of human tears: A new approach for quantification of O-acyl-omega hydroxy fatty acids.

Authors:  Jianzhong Chen; Kelly K Nichols; Landon Wilson; Stephen Barnes; Jason J Nichols
Journal:  Ocul Surf       Date:  2019-02-25       Impact factor: 5.033

7.  In vivo thickness measurement of the lipid layer and the overall tear film by interferometry.

Authors:  Yuqiang Bai; Jason J Nichols
Journal:  Opt Lett       Date:  2019-05-15       Impact factor: 3.776

8.  Analysis of Clinical and Regional Distribution Characteristics of Obstructive Meibomian Gland Dysfunction in China: A Multicenter Study.

Authors:  Yan Li; Jing Lu; Qizhi Zhou; Congxiang Wang; Qingyan Zeng; Tiehong Chen; Chang Liu; Yanwei Kang; Shaowei Li
Journal:  Curr Eye Res       Date:  2020-04-27       Impact factor: 2.424

9.  Human precorneal tear film and lipid layer dynamics in meibomian gland dysfunction.

Authors:  Yuqiang Bai; William Ngo; Safal Khanal; Kelly K Nichols; Jason J Nichols
Journal:  Ocul Surf       Date:  2021-03-23       Impact factor: 6.268

Review 10.  Revisiting the vicious circle of dry eye disease: a focus on the pathophysiology of meibomian gland dysfunction.

Authors:  Christophe Baudouin; Elisabeth M Messmer; Pasquale Aragona; Gerd Geerling; Yonca A Akova; José Benítez-del-Castillo; Kostas G Boboridis; Jesús Merayo-Lloves; Maurizio Rolando; Marc Labetoulle
Journal:  Br J Ophthalmol       Date:  2016-01-18       Impact factor: 4.638

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Review 1.  Candidate Molecular Compounds as Potential Indicators for Meibomian Gland Dysfunction.

Authors:  Kofi Asiedu
Journal:  Front Med (Lausanne)       Date:  2022-05-24
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