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Cornea

October 14, 2026 · via Europe PMC

The Effects of Age on the Presence of Atypical Corneal Nerve Formations.

Štorm J, Minaříková M, Potočková V, Slavenko M, Burdová MČ, Mazanec R, Uhlík J, Mahelková G.

Journal ArticleAbstract only — full text under license

AI summary — for doctors, generated from the abstract only

Atypical corneal nerve formations become more frequent with age and may reflect aging rather than a specific marker of neuropathic pain or inflammation.

What was studied

A retrospective single-center study of 143 patients (286 eyes) with suspected small fiber neuropathy or type 1 diabetes who had in vivo confocal microscopy, relating atypical nerve formations (ANFs) to ocular surface measures and nerve fiber metrics using generalized estimating equations.

Key findings

  • ANFs were identified in 25.5% of the 286 eyes
  • Age was significantly associated with ANF presence, with odds rising about 5% per additional year (odds ratio 1.05)
  • The authors conclude ANFs appear to be age-related degenerative remodeling rather than specific biomarkers

Clinical relevance

When ANFs are seen on confocal microscopy, they should be interpreted cautiously and in context, especially in older patients, and not assumed to indicate neuropathic ocular pain.

Who should care

Ophthalmology

Limitations

Retrospective, single center, selected referral population, and results are partly truncated so other associations with ocular surface parameters are not shown.

Age is a key determinant of ANFs, limiting their value as a stand-alone biomarker.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

Purpose

The aim of this study was to describe the presence of atypical nerve formations (ANFs, previously termed microneuromas) and their relation to standardized ocular surface parameters and changes in the sub-basal nerve plexus in a group of patients with suspected small fiber neuropathy or type 1 diabetes referred for in vivo confocal microscopy (IVCM).

Methods

This retrospective single-center study enrolled 143 patients (286 eyes) referred for corneal nerve morphology evaluation between 2019 and 2024. Patients with severe dry eye disease, a history of ocular surgery, or recent eye drop use were excluded. All participants underwent comprehensive ocular surface assessment, including OSDI, Cochet-Bonnet esthesiometry, tear break-up time (TBUT), Oxford grading, tear osmolarity, and tear metalloproteinase-9 (MMP-9) concentration. IVCM was performed to obtain corneal nerve fiber metrics (corneal nerve fiber length, corneal nerve fiber density, corneal nerve branch density) and to manually identify ANFs. Generalized estimating equations were used to account for intereye correlation.

Results

Corneal ANFs were identified in 25.5% of the 286 eyes. Age demonstrated a statistically significant association with ANF presence, with the odds increasing by approximately 5% for each additional year of age (odds ratio 1.05; P < 0.001). A statistically significant inverse association was observed with corneal sensitivity (P = 0.040). No statistically significant correlations were found between ANFs and TBUT, tear osmolarity, MMP-9 concentrations, OSDI scores, or standard IVCM metrics.

Conclusions

Corneal ANFs seem to be strongly associated with aging, suggesting that they may represent age-related degenerative remodeling rather than specific biomarkers for ocular neuropathic pain or inflammation in this population and, as such, should be interpreted with caution and within the broader clinical context.

DOI

10.1097/ico.0000000000004341

PMID

42874580

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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