Compositional Assessment of Human Tracheal Cartilage by Infrared Spectroscopy

Spectral Reflectance as a Unique Tissue Identifier in Healthy Humans and Inhalation Injury Subjects

Tracheal intubation is the preferred method of airway management, a common emergency trauma medicine problem. Currently, methods for confirming tracheal tube placement are lacking, and we propose a novel technology, spectral reflectance, which may be incorporated into the tracheal tube for verification of placement. Previous work demonstrated a unique spectral profile in the trachea, which allowed differentiation from esophageal tissue in ex vivo swine, in vivo swine, and human cadavers. The goal of this study is to determine if spectral reflectance can differentiate between trachea and other airway tissues in living humans and whether the unique tracheal spectral profile persists in the presence of an inhalation injury. Reflectance spectra were captured using a custom fiber-optic probe from the buccal mucosa, posterior oropharynx, and trachea of healthy humans intubated for third molar extraction and from the trachea of patients admitted to a burn intensive care unit with and without inhalation injury. Using ratio comparisons, we found that the tracheal spectral profile was significantly different from buccal mucosa or posterior oropharynx, but the area under the curve values are not high enough to be used clinically. In addition, inhalation injury did not significantly alter the spectral reflectance of the trachea. Further studies are needed to determine the utility of this technology in a clinical setting and to develop an algorithm for tissue differentiation.

Spectroscopic Analysis of Human Tracheal Tissue during Decellularization

OBJECTIVE

To use mid-infrared (IR) spectroscopy to assess changes in the cartilaginous framework of human trachea during decellularization.

STUDY DESIGN

Laboratory-based study.

SETTING

Research laboratory.

METHODS

Six cadaveric human tracheas were decellularized using a detergent enzymatic method (DEM). Tissue samples were obtained from each specimen after 0, 1, 10, and 25 DEM cycles for histologic and spectroscopic analysis. Decellularization was confirmed using hematoxylin and eosin (H&E) and 2-(4-amidinophenyl)-1H-indole-6-carboxamidine (DAPI) staining. Changes in cartilaginous framework were examined using Fourier transform infrared imaging spectroscopy (FT-IRIS) and an attenuated total reflectance (ATR) probe in the mid-IR frequencies. Results were statistically analyzed using 1-way analysis of variance (ANOVA) and principal component analysis (PCA).

RESULTS

Six decellularized tracheal scaffolds were successfully created using a DEM protocol. Histologic examination showed near-complete nuclear loss following 25 DEM cycles. As observed with FT-IRIS analysis, the collagen absorbance signal (1336 cm-1) was predominantly in the perichondria and remained stable after 25 DEM cycles ( P = .132), while the absorbance from sugar rings in proteoglycans and nucleic acids in hyaline cartilage (1080 cm-1) showed a significant decrease after 1 DEM cycle ( P = .0007). Examination of the luminal surface of the trachea with an ATR probe showed raw mid-IR spectra consistent with cartilage. PCA showed significant separation of spectra corresponding to treatment cycle along the principal components 1 and 2.

CONCLUSION

Mid-IR spectroscopy is a viable method of monitoring changes in extracellular matrix components during the decellularization of human trachea.

Spatial correlation of native and engineered cartilage components at micron resolution

Tissue engineering (TE) approaches are being widely investigated for repair of focal defects in articular cartilage. However, the amount and/or type of extracellular matrix (ECM) produced in engineered constructs does not always correlate with the resultant mechanical properties. This could be related to the specifics of ECM distribution throughout the construct. Here, we present data on the amount and distribution of the primary components of native and engineered cartilage (i.e., collagen, proteoglycan (PG), and water) using Fourier transform infrared imaging spectroscopy (FT-IRIS). These data permit visualization of matrix and water at 25 μm resolution throughout the tissues, and subsequent colocalization of these components using image processing methods. Native and engineered cartilage were cryosectioned at 80 μm for evaluation by FT-IRIS in the mid-infrared (MIR) and near-infrared (NIR) regions. PG distribution correlated strongly with water in native and engineered cartilage, supporting the binding of water to PG in both tissues. In addition, NIR-derived matrix peaks correlated significantly with MIR-derived collagen peaks, confirming the interpretation that these absorbances arise primarily from collagen and not PG. The combined use of MIR and NIR permits assessment of ECM and water spatial distribution at the micron level, which may aid in improved development of TE techniques.