Non-invasive investigation of adipose tissue by time domain diffuse optical spectroscopy.

The human abdominal region is very heterogeneous and stratified with subcutaneous adipose tissue (SAT) being one of the primary layers. Monitoring this tissue is crucial for diagnostic purposes and to estimate the effects of interventions like caloric restriction or bariatric surgery. However, the layered nature of the abdomen poses a major problem in monitoring the SAT in a non-invasive way by diffuse optics. In this work, we examine the possibility of using multi-distance broadband time domain diffuse optical spectroscopy to assess the human abdomen non-invasively. Broadband absorption and reduced scattering spectra from 600 to 1100 nm were acquired at 1, 2 and 3 cm source-detector distances on ten healthy adult male volunteers, and then analyzed using a homogeneous model as an initial step to understand the origin of the detected signal and how tissue should be modeled to derive quantitative information. The results exhibit a clear influence of the layered nature on the estimated optical properties. Clearly, the underlying muscle makes a relevant contribution in the spectra measured at the largest source-detector distance for thinner subjects related to blood and water absorption. More unexpectedly, also the thin superficial skin layer yields a direct contamination, leading to higher water content and steeper reduced scattering spectra at the shortest distance, as confirmed also by simulations. In conclusion, provided that data analysis properly accounts for the complex tissue structure, diffuse optics may offer great potential for the continuous non-invasive monitoring of abdominal fat.

[1]  R Cubeddu,et al.  Experimental test of theoretical models for time-resolved reflectance. , 1996, Medical physics.

[2]  S Andersson-Engels,et al.  Real-time method for fitting time-resolved reflectance and transmittance measurements with a monte carlo model. , 1998, Applied optics.

[3]  D. Thompson,et al.  Parallels in Immunometabolic Adipose Tissue Dysfunction with Ageing and Obesity , 2018, Front. Immunol..

[4]  Alwin Kienle,et al.  Analytical solutions of the radiative transport equation for turbid and fluorescent layered media , 2017, Scientific Reports.

[5]  Paola Taroni,et al.  Review of optical breast imaging and spectroscopy , 2016, Journal of biomedical optics.

[6]  Bruce J. Tromberg,et al.  Diffuse optical spectroscopic imaging of subcutaneous adipose tissue metabolic changes during weight loss , 2016, International Journal of Obesity.

[7]  M. Olivo,et al.  Quantitative in vivo detection of adipose tissue browning using diffuse reflectance spectroscopy in near‐infrared II window , 2018, Journal of biophotonics.

[8]  Alessandro Torricelli,et al.  Performance assessment of photon migration instruments: the MEDPHOT protocol , 2005 .

[9]  Paola Taroni,et al.  Broadband (600–1350 nm) Time-Resolved Diffuse Optical Spectrometer for Clinical Use , 2016, IEEE Journal of Selected Topics in Quantum Electronics.

[10]  E. Dransfield Intramuscular composition and texture of beef muscles , 1977 .

[11]  J. Mourant,et al.  Predictions and measurements of scattering and absorption over broad wavelength ranges in tissue phantoms. , 1997, Applied optics.

[12]  A. Kienle,et al.  Determination of the optical properties of three-layered turbid media in the time domain using the P3 approximation , 2019, OSA Continuum.

[13]  Paola Taroni,et al.  Diffuse optical spectroscopy of breast tissue extended to 1100 nm. , 2009, Journal of biomedical optics.

[14]  Malini Olivo,et al.  Diffuse Optical Spectroscopy and Imaging to Detect and Quantify Adipose Tissue Browning , 2017, Scientific Reports.

[15]  C. Chuong,et al.  Defining dermal adipose tissue , 2014, Experimental dermatology.

[16]  Paola Taroni,et al.  Diffuse optical characterization of collagen absorption from 500 to 1700 nm , 2017, Journal of biomedical optics.

[17]  S. Cinti Adipose Organ Development and Remodeling. , 2018, Comprehensive Physiology.

[18]  Jun Q. Lu,et al.  Refractive indices of human skin tissues at eight wavelengths and estimated dispersion relations between 300 and 1600 nm , 2006, Physics in medicine and biology.

[19]  S. Heymsfield,et al.  Biochemical composition of muscle in normal and semistarved human subjects: relevance to anthropometric measurements. , 1982, The American journal of clinical nutrition.

[20]  J. Hebebrand,et al.  The ABCD of Obesity: An EASO Position Statement on a Diagnostic Term with Clinical and Scientific Implications , 2019, Obesity Facts.

[21]  P. Formisano,et al.  Adipose Tissue Dysfunction as Determinant of Obesity-Associated Metabolic Complications , 2019, International journal of molecular sciences.

[22]  M. Kohl,et al.  Near-infrared optical properties of ex vivo human skin and subcutaneous tissues measured using the Monte Carlo inversion technique. , 1998, Physics in medicine and biology.

[23]  Davide Contini,et al.  Towards next-generation time-domain diffuse optics for extreme depth penetration and sensitivity. , 2015, Biomedical optics express.

[24]  G. Goossens The Metabolic Phenotype in Obesity: Fat Mass, Body Fat Distribution, and Adipose Tissue Function , 2017, Obesity Facts.

[25]  Tomas Svensson,et al.  Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration. , 2008, Journal of biomedical optics.

[26]  Davide Contini,et al.  Performance assessment of time-domain optical brain imagers, part 1: basic instrumental performance protocol. , 2014, Journal of biomedical optics.

[27]  L. Spinelli,et al.  In vivo depth heterogeneity of the abdomen assessed by broadband time-domain diffuse optical spectroscopy , 2017, European Conference on Biomedical Optics.

[28]  Paola Taroni,et al.  Time-resolved diffused optical characterization of key tissue constituents of human bony prominence locations , 2015, European Conference on Biomedical Optics.

[29]  D Contini,et al.  Time-resolved spectrally constrained method for the quantification of chromophore concentrations and scattering parameters in diffusing media. , 2006, Optics express.

[30]  P. Scherer,et al.  Adipose tissue remodeling and obesity. , 2011, The Journal of clinical investigation.

[31]  S. Bandinelli,et al.  Hemoglobin levels and skeletal muscle: results from the InCHIANTI study. , 2004, The journals of gerontology. Series A, Biological sciences and medical sciences.

[32]  Paola Taroni,et al.  In Vivo, Non-Invasive Characterization of Human Bone by Hybrid Broadband (600-1200 nm) Diffuse Optical and Correlation Spectroscopies , 2016, PloS one.

[33]  G. Shefer,et al.  Muscle function and fat content in relation to sarcopenia, obesity and frailty of old age — An overview , 2016, Experimental Gerontology.

[34]  K. Clément,et al.  Deciphering the cellular interplays underlying obesity-induced adipose tissue fibrosis. , 2019, The Journal of clinical investigation.

[35]  Paola Taroni,et al.  Thyroid tissue constituents characterization and application to in vivo studies by broadband (600-1200 nm) diffuse optical spectroscopy , 2017, European Conference on Biomedical Optics.

[36]  A. N. Bashkatov,et al.  Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm , 2005 .