Here, we present a protocol for collection of confocal Raman spectra from human subjects in clinical studies combined with chemometric approaches for spectral outlier removal and the subsequent extraction of key features.
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Method Article
* These authors contributed equally
Here, we present a protocol for collection of confocal Raman spectra from human subjects in clinical studies combined with chemometric approaches for spectral outlier removal and the subsequent extraction of key features.
Development of this in vivo confocal Raman spectroscopic method enables the direct measurement of water, proteins, and lipids with depth resolution in human subjects. This information is very important for skin-related diseases and characterizing skin care product performance. This protocol illustrates a method for confocal Raman spectra collection and the subsequent analysis of the spectral dataset leveraging chemometrics. The goal of this method is to establish a standard protocol for data collection and provide general guidance for data analysis. Preprocessing (e.g., removal of outlier spectra) is a critical step when processing large datasets from clinical studies. As an example, we provide guidance based on prior knowledge of a dataset to identify the types of outliers and develop specific strategies to remove them. A principal component analysis is performed, and the loading spectra are compared with spectra from reference materials to select the number of components used in the final multivariate curve resolution (MCR) analysis. This approach is successful for extracting meaningful information from a large spectral dataset.
In clinical studies, in vivo confocal Raman spectroscopy has shown its unique ability for determining stratum corneum thickness and water content1,2,3,4, and tracking the penetration of active materials topically applied to the skin5,6. As a noninvasive approach, confocal Raman spectroscopy detects molecular signals based on vibrational modes. Thus, labeling is not needed7. In vivo confocal Raman spectroscopy provides chemical information with depth resolution....
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This study was approved by the institutional review committee of Beijing Children’s Hospital in compliance with the ethical guidelines of the 1975 Declaration of Helsinki. It was conducted according to ICH guidelines for Good Clinical Practice. The study took place from May to July 2015.
1. Collection of in vivo confocal Raman spectra from human subjects with atopic dermatitis
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In this clinical study, in vivo confocal Raman spectra were collected from 28 subjects from 4–18 years old. A total of 30,862 Raman spectra were collected with the data collection protocol mentioned above. This large spectral dataset contains 20% spectral outliers as shown in Figure 4A. The low signal-to-noise outlier spectra were removed after determining the skin surface, followed by the PCA to identify the spectra with room light features. The third factor in this PCA model is identif.......
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During the data collection, as described in section 2 and 3 of the protocol, each depth profile was collected in an area with contact between the instrument window and the skin by finding the darker areas from the microscopic images highlighted in the red circles in Figure 2C. Once these areas were located, it was critical to start the depth profile above the skin surface to accurately determine the location of the skin surface for the data analysis procedure. The location o.......
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The authors have nothing to disclose.
The authors greatly acknowledge the financial support from the corporate function analytical and personal cleansing care department. We want to express our gratitude to analytical associate directors Ms. Jasmine Wang and Dr. Robb Gardner for their guidance and support and Ms. Li Yang for her help on data collection.
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| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| Bovine Serum Albumin | Sigma-Aldrich | ||
| Cholesterol | Sigma-Aldrich | ||
| Cholesterol 3-sulfate sodium | Sigma-Aldrich | ||
| D-Erythro-Dihydrosphingosine | Sigma-Aldrich | ||
| DI water | Purified with Milipore(18.2MΩ) | ||
| Gen2-SCA skin analyzer | River Diagnostics, Rotterdam, The Netherlands | Gen2 | |
| Matlab 2018b | Mathwork | 2018b | |
| N-behenoyl-D-erythro-sphingosine | Avanti Polar Lipids, Inc. | ||
| N-Lignoceroyl-D-erythro-sphinganine(ceramide) | Avanti Polar Lipids, Inc. | ||
| Oleic Acid | Sigma-Aldrich | ||
| Palmitic Acid | Sigma-Aldrich | ||
| Palmitoleic Acid | Sigma-Aldrich | ||
| PLS_Toolbox version 8.2 | Eigenvector Research Inc. | 8.2 | |
| RiverICon | River Diagnostics, Rotterdam, The Netherlands | version 3.2 | |
| Squalene | Sigma-Aldrich | ||
| Stearic Acid | Sigma-Aldrich |
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