Evidence map›Paper›PMID 42411874›Full record

ArticleTranslational vision science & technology2026

Tear Fluid Lymphotoxin-Alpha as a Diagnostic Biomarker for the Stratification of Dry Eye Disease.

Yun Yang, Wushuang Wang, Yue Tan, Changming Feng, Yujia Liu, Xuetian Wen, Tong Lin, Lan Gong

Abstract read
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Article in Translational vision science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yun YangDepartment of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, People's Republic of China.
Wushuang WangDepartment of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, People's Republic of China.
Yue TanDepartment of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, People's Republic of China.
Changming FengDepartment of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, People's Republic of China.
Yujia LiuDepartment of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, People's Republic of China.
Xuetian WenDepartment of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, People's Republic of China.
Tong LinDepartment of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, People's Republic of China.
Lan GongDepartment of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to investigate the diagnostic value of the tear lymphotoxin-α (LTA) concentration for dry eye disease (DED). Methods: A total of 160 subjects-75 patients with DED, 55 individuals without DED, and 30 pain-without-stain patients were included. Ocular Surface Disease Index (OSDI), the tear LTA concentration, tear break-up time (TBUT), MMP-9, IL-1ra, IL-1β, IL-6, IL-8, IL-17, and IFN-γ, and MUC5AC levels, corneal fluorescein staining (CFS), conjunctival lissamine green staining (CLGS), conjunctival impression cytology (IC), Schirmer I test, and conjunctival goblet cell counts were determined. Results: Tear LTA concentration varied among the three groups, being the lowest in the DED group and the highest in the pain-without-stain group. The overall agreement rate between LTA diagnosis and expert consensus diagnose was 83.85%. The kappa coefficient was 0.670 (P < 0.001). Significant differences in tear LTA concentration were observed among all severity groups. Receiver operating characteristic (ROC) curve analysis revealed cutoff values of 105 pg/mL, 855 pg/mL, and 1580 pg.mL as an exploratory stratification thresholds for distinguishing the severe DED (LTA <105 pg/mL), mild DED (LTA 105 pg/mL to 855 pg/mL), non-DED (LTA 855 pg/mL to 1580 pg/mL), and pain-without-stain groups (LTA > 1580 pg/mL). Moreover, significant differences in the OSDI, the TBUT, CFS results, CLGS results, IC results, MMP-9, IL-1ra, IL-1β, IL-6, IL-8, IL-17, IFN-γ, and MUC5AC concentrations were detected among the different LTA groups. Conclusions: Throughout the cohort, we explored the potential of tear LTA concentration for the diagnosis and graded classification diagnosis of dry eye. Translational Relevance: Tear LTA is a potential biomarker for the graded classification and subtyping of dry eye, and is expected to become a novel biomarker in the diagnosis and management of dry eye.

Indexed as

Dry Eye SyndromesLymphotoxin-alphaTearsAdultAgedBiomarkersConjunctivaFemaleHumansMaleMiddle AgedROC CurveBiomarkersLymphotoxin-alpha

Identifiers

PMID42411874
PMCPMC13361835

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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.