Repeatability of Measuring Corneal Nerve Migration Rate in Individuals With and Without Diabetes

Diabetes Distal Peripheral Neuropathy: Subtypes and Diagnostic and Screening Technologies

Diabetes distal symmetrical peripheral neuropathy (DSPN) is the most prevalent form of neuropathy in industrialized countries, substantially increasing risk for morbidity and pre-mature mortality. DSPN may manifest with small-fiber disease, large-fiber disease, or a combination of both. This review summarizes: (1) DSPN subtypes (small- and large-fiber disease) with attention to clinical signs and patient symptoms; and (2) technological diagnosis and screening for large- and small-fiber disease with inclusion of a comprehensive literature review of published studies from 2015-present (N = 66). Review findings, informed by the most up-to-date research, advance critical understanding of DSPN large- and small-fiber screening technologies, including those designed for point-of-care use in primary care and endocrinology practices.

Corneal Nerve Migration Rate in a Healthy Control Population

PURPOSE

The purpose of this study was to establish an age-dependent normative range and factors affecting the migration rate of the corneal subbasal nerve plexus in a healthy control population.

METHODS

Corneal nerve migration rate was measured in 60 healthy participants grouped by age: A, aged 20 to 39 years (n = 20); B, 40 to 59 years (n = 20); and C, 60 to 79 years (n = 20). Laser-scanning corneal confocal microscopy was performed on the right eye of all participants at baseline and again after 3 weeks. Fully automated software was used to montage the frames. Distinctive nerve landmarks were manually reidentified between the two montages, and a software program was developed to measure the migration of these landmark points to determine corneal nerve migration rate in micrometers per week (μm/wk).

RESULTS

The mean ± SD age of all participants in the study was 47.5 ± 15.5 years; 62% of participants were male. The average corneal nerve migration rates of groups A, B, and C were 42.0 ± 14.0, 42.3 ± 15.5, and 42.0 ± 10.8 μm/wk, respectively (P = .99). There was no difference in corneal nerve migration rate between male (41.1 ± 13.5 μm/wk) and female (43.7 ± 13.2 μm/wk) participants (P = .47). There was no significant correlation between age (P = .97), smoking (P = .46), alcohol use (P = .61), and body mass index (P = .49, respectively) with corneal nerve migration rate. However, exercise frequency correlated significantly (P = .04) with corneal nerve migration rate.

CONCLUSIONS

Corneal nerve migration rate varies in healthy individuals and is not affected by age, sex, or body mass index but is related to physical activity.

The effect of the duration of diabetes on dry eye and corneal nerves

PURPOSE

To investigate the relationship between the duration of type 2 diabetes mellitus (DM) and the ocular surface, and to address the question of why some people with lengthy DM duration are asymptomatic, whereas some people with shorter DM duration have pain or discomfort in their eyes.

METHODS

Eighty-seven eyes of 87 subjects with different durations of DM and 49 eyes of 49 subjects without DM underwent Schirmer I test, tear film break-up time, sodium fluorescein staining and tear meniscus height (TMH) measurement, and completed the Standardized Patient Evaluation of Eye Dryness (SPEED) questionnaire. Corneal structure and function were assessed with in vivo confocal corneal microscopy and with a corneal sensitivity esthesiometer. Both corneal nerve fiber length and inferior whorl length (IWL) were assessed as indices for neural structure. Age and gender were matched between groups. HbA1c levels >7.8% and proliferative diabetic retinopathy were exclusion criteria.

RESULTS

In the DM group, compared with the non-DM group, the SPEED score was significantly higher (p = 0.013), and corneal sensitivity and IWL were lower (p < 0.001). Schirmer I test, corneal sensitivity and IWL differed significantly between the group with DM duration >10 years and the non-DM (control) group (p = 0.021, p < 0.001, p < 0.001, respectively). Schirmer I test and IWL were significantly lower in the group with DM >10 years than in the group with DM ≤10 years (p = 0.023, p < 0.001, respectively). Corneal sensitivity was positively correlated with IWL regardless of diabetes status.

CONCLUSIONS

The lower SPEED score and asymptomatic feeling in people with a longer DM duration may be explained by the decreased IWL and reduced sensitivity.

What is the best strategy on detection of cornea neuropathy in people with diabetes? Recent advances in potential measurements

There are well-acknowledged clinical or pre-clinical measurements concerning diabetic peripheral neuropathy (DPN). The current gold standard for diagnosis of diabetic peripheral neuropathy is nerve conduction suitable for detecting large nerve fiber function and intraepidermal nerve fiber density assessment for small fiber damage evaluation [2]. The lack of a sensitive, non-invasive, and repeatable endpoint to measure changes in small nerve fibers is a major factor holding back clinical trials for the treatment of diabetic peripheral neuropathy. As cornea is the most densely innerved tissue, assessing corneal nerves' structure and function will be promising to predict and assess the degree of DPN. In the diabetic micro-environment, damaged corneal nerves lead to decreased corneal sensitivity, both of which resulting in abnormal tear function. According to this theory, the measurements of nerve structure, corneal sensitivity, tear secretion and tear components, to some extent, can reveal and assess the state of corneal neuropathy. This review focuses on summarizing the knowledge of the latest detective methods of diabetic corneal neuropathy, popular in use or possible to further in study and be applied into clinical practice.

Automatic analysis of corneal nerves imaged using in vivo confocal microscopy

Interest has grown over the past decade in using in vivo confocal microscopy to analyse the morphology of corneal nerves and their changes over time. Advances in computational modelling techniques have been applied to automate the estimation of sub-basal nerve structure. These objective methods have the potential to quantify nerve density (and length), tortuosity, variations in nerve thickness, as well as temporal changes in nerve fibres such as migration patterns. Different approaches to automated nerve analysis, methods proposed and how they were validated in previous literature are reviewed. Improved understanding of these approaches and their limitations will help improve the diagnostic leverage of emerging developments for monitoring the onset and progression of a broad class of systemic diseases, including diabetes.