Dataset Information

Quantifying nerve architecture in murine and human airways using three-dimensional computational mapping.

ABSTRACT: The quantitative histological analysis of airway innervation using tissue sections is challenging because of the sparse and patchy distribution of nerves. Here we demonstrate a method using a computational approach to measure airway nerve architecture that will allow for more complete nerve quantification and the measurement of structural peripheral neuroplasticity in lung development and disease. We demonstrate how our computer analysis outperforms manual scoring in quantifying three-dimensional nerve branchpoints and lengths. In murine lungs, we detected airway epithelial nerves that have not been previously identified because of their patchy distribution, and we quantified their three-dimensional morphology using our computer mapping approach. Furthermore, we show the utility of this approach in bronchoscopic forceps biopsies of human airways, as well as the esophagus, colon, and skin.

SUBMITTER: Scott GD

PROVIDER: S-EPMC3547082 | biostudies-other | 2013 Jan

REPOSITORIES: biostudies-other

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Quantifying nerve architecture in murine and human airways using three-dimensional computational mapping.

Scott Gregory D GD Fryer Allison D AD Jacoby David B DB

American journal of respiratory cell and molecular biology 20121025 1

The quantitative histological analysis of airway innervation using tissue sections is challenging because of the sparse and patchy distribution of nerves. Here we demonstrate a method using a computational approach to measure airway nerve architecture that will allow for more complete nerve quantification and the measurement of structural peripheral neuroplasticity in lung development and disease. We demonstrate how our computer analysis outperforms manual scoring in quantifying three-dimensiona ...[more]

PMID: 23103997

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Project description:ObjectiveTo investigate the entire human corneal nerve architecture of donors with different durations of insulin-dependent diabetes mellitus (IDDM).DesignExperimental study.Participants and controlsSixteen fresh human eyes from 8 diabetic donors (aged 43-66 years, with IDDM for 2-17 years) and 12 eyes from 6 normal donors (aged from 44-67 years) were obtained from the National Disease Research Interchange (NDRI).MethodsAfter fixation, corneas were stained with mouse monoclonal anti-?-Tubulin III antibody, and images were acquired to build a whole view of the corneal nerve architecture. The same corneas were used for both whole-mount and cross-section examination.Main outcome measuresCorneal epithelial nerve density was calculated on the basis of the whole-mount view of the central area. The number of stromal nerves was calculated by counting the nerve trunks at the corneoscleral limbus of the entire cornea. Differences between diabetic and normal corneas in epithelial nerve densities and main stromal nerve numbers were compared by paired-samples t test.ResultsThe diabetic eyes presented numerous neuropathies in areas where the epithelial nerve bundles emerged. A striking pathologic change was the presence of abundant nerve fiber loops in the stroma. These loops seemed to form by resistance presented by the basement membrane, which may prevent penetration of stromal nerve branches into epithelia. There was no difference in the numbers of main stromal nerve trunks between corneas from diabetic and normal donors, but there was a significant decrease in central epithelial nerve density in the diabetic corneas. We did not find an age effect on this decrease. Instead, it was significantly affected by 5 or more years of IDDM.ConclusionsThis is the first study to show an entire view of the nerve architecture in human diabetic corneas. The decreased epithelial nerve density may result from the abnormalities of stromal nerve architecture and is affected by 5 or more years of IDDM. Although compensation for some nerve regeneration takes place, the alterations in the stromal nerves can explain the poor healing and persistent epithelial defects seen in diabetic patients.

Dataset Information

Quantifying nerve architecture in murine and human airways using three-dimensional computational mapping.

Publications

Quantifying nerve architecture in murine and human airways using three-dimensional computational mapping.

Similar Datasets

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