Evidence map›Paper›PMID 30317006›Full record

ReviewThe ocular surface2019

Characterization of expressed human meibum using hyperspectral stimulated Raman scattering microscopy.

Jerry R Paugh, Alba Alfonso-Garcia, Andrew Loc Nguyen, Jeffrey L Suhalim, Marjan Farid, Sumit Garg, Jeremiah Tao, Donald J Brown, Eric O Potma, James V Jester

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The ocular surface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Diurnal Variation of Tear and Meibum Lipids in Healthy Subjects.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
  2. Review
  3. Article
  4. Meibomian Gland Shortening Is Associated With Altered Meibum Composition.Investigative ophthalmology & visual science · 2024
    Article
  5. Article
  6. Meibomian Gland Dysfunction Clinical Practice Guidelines.Japanese journal of ophthalmology · 2023
    Article
  7. Review
  8. Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jerry R PaughSouthern California College of Optometry at Marshall B. Ketchum University, Fullerton, CA, USA. Electronic address: jpaugh@ketchum.edu.
Alba Alfonso-GarciaDepartment of Chemistry, University of California, Irvine, Irvine, CA, USA; University of California at Davis, Department of Biomedical Engineering, Davis, CA, USA.
Andrew Loc NguyenDepartment of Mathematics, California State University Fullerton, California, USA.
Jeffrey L SuhalimDepartment of Biomedical Engineering, University of California, Irvine, CA, USA.
Marjan FaridGavin Herbert Eye Institute, University of California, Irvine, CA, USA.
Sumit GargGavin Herbert Eye Institute, University of California, Irvine, CA, USA.
Jeremiah TaoGavin Herbert Eye Institute, University of California, Irvine, CA, USA.
Donald J BrownGavin Herbert Eye Institute, University of California, Irvine, CA, USA.
Eric O PotmaDepartment of Chemistry, University of California, Irvine, Irvine, CA, USA.
James V JesterDepartment of Biomedical Engineering, University of California, Irvine, CA, USA; Gavin Herbert Eye Institute, University of California, Irvine, CA, USA.

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
WOUND MIGRATION FORCE MONITORINGP41RR001192 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI LYUBOVITSKY, JULIA · 1985 to 2011
$14.2M
Age-Related Meibomian Gland DysfunctionR01EY021510 · NEI · UNIVERSITY OF CALIFORNIA-IRVINE · PI James V Jester · 2011 to 2026
$4.8M
NCATS NIH HHS UL1 TR001414NCRR NIH HHS P41 RR001192NEI NIH HHS R01 EY021510
6 · The paper itself

Abstract

purposeThis study examined whether hyperspectral stimulated Raman scattering (hsSRS) microscopy can detect differences in meibum lipid to protein composition of normal and evaporative dry eye subjects with meibomian gland dysfunction.

methodsSubjects were evaluated for tear breakup time (TBUT), staining, meibum expression and gland dropout. Expressed meibum was analyzed using SRS vibrational signatures in the CH stretching region (2800-3050 cm

resultsThirty-three subjects could be statistically analyzed using pooled meibum (13 with stable tear films (TBUTs > 10 s) and 20 with unstable tear films (TBUTs ≤ 10 s). Significant differences in meibum from subjects with unstable vs. stable TBUTs were found for the G1 fraction (medians 0.164 and 0.020, respectively; p = 0.012) and the G2 fraction (medians 0.244 and 0.272, respectively; p = 0.045). No differences were observed for the G3 and G4 fractions. Single orifice samples were not significantly different vs. pooled samples from the fellow eye, and eyelid sector samples (nasal, central and temporal) G2:G3 fractional components were not significantly different (p = 0.449). Spearman analysis suggested a significant inverse correlation between G1 fraction and TBUT (R = -0.351; p = 0.045).

conclusionshsSRS microscopy allows compositional analysis of expressed meibum from humans which correlated to changes in TBUT. These findings support the hypothesis that hsSRS may be useful in classifying meibum quality and evaluating the effects of therapy.

Indexed as

Machine LearningAdolescentAdultAgedAged, 80 and overEyelid DiseasesFemaleHumansLipid MetabolismMaleMeibomian GlandsMiddle AgedNonlinear Optical MicroscopyReproducibility of ResultsTearsYoung AdultDry eyeHuman meibumMachine learningRaman spectroscopy

Identifiers

PMID30317006
PMCPMC6340754

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.