Observational studyEye (London, England)2023
In vivo corneal confocal microscopy as a non-invasive test to assess obesity induced small fibre nerve damage and inflammation.
Observational study in Eye (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 13 citations in OpenAlex.
- Obesity and Eye Diseases.Nutrients · 2026Review
- Effects of metabolic and bariatric surgery on corneal and lens densitometry.BMC ophthalmology · 2026Article
- Causal relationship between obesity and diabetic neuropathy: A 2-sample Mendelian randomization study.Medicine · 2026Article
- Advanced Glycation End-Products Contribute to Delayed Diabetic Corneal Epithelial Wound Healing via the TLR4 Signaling.Investigative ophthalmology & visual science · 2026Article
- Enhanced Imaging of Ocular Surface Lesions.Journal of clinical medicine · 2025Review
- Methods for the evaluation of corneal nerve fibres in diabetes mellitus by in vivo confocal microscopy: a scoping review.BMJ open · 2025Article
- Causal relationship between glycemic traits and inflammatory eye diseases and their complications, and myopia: a Mendelian randomization analysis.Scientific reports · 2025Article
- Obesity negatively impacts corneal nerves in patients with diabetes mellitus.Eye and vision (London, England) · 2025Article
- Exploring the causal relationship between body mass index and keratoconus: a Mendelian randomization study.Frontiers in medicine · 2024Article
- Comparison of Automated Versus Manual Analysis Programs for Quantification of Corneal Nerve Morphology in Patients With or Without Type 2 Diabetes Mellitus.Beyoglu eye journal · 2024Article
- Corneal nerve changes by anti-glaucoma medications examined byInternational journal of ophthalmology · 2024Article
- Dietary fiber influence on overall health, with an emphasis on CVD, diabetes, obesity, colon cancer, and inflammation.Frontiers in nutrition · 2024Review
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo investigate small nerve fibre damage and inflammation at the level of the sub-basal nerve plexus (SNP) of severe obese patients and compare the results with those of healthy subjects.
methodsThis cross-sectional, observational study investigated the data of 28 patients (14 out of 28 prediabetic or diabetic) with severe obesity (Body Mass Index; BMI ≥ 40) and 20 healthy subjects. Corneal nerve fibre density (CNFD), branch density (CNBD), fibre length (CNFL), nerve fibre area (CNFA), nerve fibre width (CNFW), and nerve fractal dimension (CNFrD) and dendritic cell (DC) density were evaluated using in vivo confocal microscopy (IVCM, Heidelberg Retinal Tomograph III Rostock Cornea Module). Automatic CCMetrics software (University of Manchester, UK) was used for quantitative analysis of SNP.
resultsMean age was 48.4±7.4 and 45.1 ± 5.8 in the control and obese group, respectively (p = 0.09). Mean BMI were 49.1 ± 7.8 vs. 23.3 ± 1.4 in obese vs. control group, respectively (p < 0.001). Mean CNFD, CNBD, CNFL, CNFA, CNFW were significantly reduced in obese group compared with those in the control group (always p < 0.05, respectively). There were no significant differences in any ACCMetrics parameters between prediabetic/diabetic and non-diabetic obese patients. Increased DC densities were detected in obese group compared with those in control group (p < 0.0001). There were significant correlations between BMI scores and SNP parameters.
conclusionImaging with IVCM is a feasible, non-invasive method to detect and quantify occult corneal nerve damage and increased inflammation in patients with obesity. This study suggests that obesity may be a separate risk factor for peripheral neuropathy regardless of DM.
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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.