scholarly journals Brown adipose tissue density measured by near-infrared time-resolved spectroscopy in Japanese, across a wide age range

2018 ◽  
Vol 23 (06) ◽  
pp. 1 ◽  
Author(s):  
Sayuri Fuse ◽  
Shinsuke Nirengi ◽  
Shiho Amagasa ◽  
Toshiyuki Homma ◽  
Ryotaro Kime ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Brown Adipose Tissue ◽  
Near Infrared ◽  
Time Resolved ◽  
Time Resolved Spectroscopy ◽  
Tissue Density ◽  
Brown Adipose ◽  
Age Range

scholarly journals Near-Infrared Time-Resolved Spectroscopy for Assessing Brown Adipose Tissue Density in Humans: A Review

2020 ◽  
Vol 11 ◽  
Author(s):  
Takafumi Hamaoka ◽  
Shinsuke Nirengi ◽  
Sayuri Fuse ◽  
Shiho Amagasa ◽  
Ryotaro Kime ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Brown Adipose Tissue ◽  
Near Infrared ◽  
Time Resolved ◽  
Time Resolved Spectroscopy ◽  
Tissue Density ◽  
Brown Adipose

scholarly journals Assessment of human brown adipose tissue density during daily ingestion of thermogenic capsinoids using near-infrared time-resolved spectroscopy

2016 ◽  
Vol 21 (9) ◽  
pp. 091305 ◽  
Author(s):  
Shinsuke Nirengi ◽  
Toshiyuki Homma ◽  
Naohiko Inoue ◽  
Hitoshi Sato ◽  
Takeshi Yoneshiro ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Brown Adipose Tissue ◽  
Near Infrared ◽  
Time Resolved ◽  
Time Resolved Spectroscopy ◽  
Tissue Density ◽  
Daily Ingestion ◽  
Brown Adipose

Evaluation of Brown Adipose Tissue Using Near-Infrared Time-Resolved Spectroscopy

2016 ◽  
pp. 371-376 ◽  
Author(s):  
Shinsuke Nirengi ◽  
Takeshi Yoneshiro ◽  
Takeshi Saiki ◽  
Sayuri Aita ◽  
Mami Matsushita ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Brown Adipose Tissue ◽  
Near Infrared ◽  
Time Resolved ◽  
Time Resolved Spectroscopy ◽  
Brown Adipose

scholarly journals Human brown adipose tissue assessed by simple, noninvasive near-Infrared time-resolved spectroscopy

Obesity ◽  
2015 ◽  
Vol 23 (5) ◽  
pp. 973-980 ◽  
Author(s):  
Shinsuke Nirengi ◽  
Takeshi Yoneshiro ◽  
Hiroki Sugie ◽  
Masayuki Saito ◽  
Takafumi Hamaoka
Keyword(s):  
Adipose Tissue ◽  
Brown Adipose Tissue ◽  
Near Infrared ◽  
Time Resolved ◽  
Time Resolved Spectroscopy ◽  
Brown Adipose

scholarly journals Applicability of Supraclavicular Oxygenated and Total Hemoglobin Evaluated by Near-Infrared Time-Resolved Spectroscopy as Indicators of Brown Adipose Tissue Density in Humans

2019 ◽  
Vol 20 (9) ◽  
pp. 2214 ◽  
Author(s):  
Shinsuke Nirengi ◽  
Sayuri Fuse ◽  
Shiho Amagasa ◽  
Toshiyuki Homma ◽  
Ryotaro Kime ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Brown Adipose Tissue ◽  
Near Infrared ◽  
Scattering Coefficient ◽  
Time Resolved ◽  
Time Resolved Spectroscopy ◽  
Non Invasive ◽  
Total Hemoglobin ◽  
Brown Adipose ◽  
Lifestyle Related Diseases

Brown adipose tissue (BAT) may potentially be used in strategies for preventing lifestyle-related diseases. We examine evidence that near-infrared time-resolved spectroscopy (NIRTRS) is capable of estimating human BAT density (BAT-d). The parameters examined in this study are total hemoglobin [total-Hb]sup, oxygenated Hb [oxy-Hb]sup, deoxygenated Hb [deoxy-Hb]sup, Hb O2 saturation (StO2sup), and the reduced scattering coefficient in the supraclavicular region (μs’sup), where BAT deposits can be located; corresponding parameters in the control deltoid region are obtained as controls. Among the NIRTRS parameters, [total-Hb]sup and [oxy-Hb]sup show region-specific increases in winter, compared to summer. Further, [total-Hb]sup and [oxy-Hb]sup are correlated with cold-induced thermogenesis in the supraclavicular region. We conclude that NIRTRS-determined [total-Hb]sup and [oxy-Hb]sup are useful parameters for evaluating BAT-d in a simple, rapid, non-invasive manner.

scholarly journals Correlation of Plasma Amino Acid and Anthropometric Profiles with Brown Adipose Tissue Density in Humans

2021 ◽  
Vol 10 (11) ◽  
pp. 2339
Author(s):  
Miyuki Kuroiwa ◽  
Sayuri Hamaoka-Fuse ◽  
Masahiro Sugimoto ◽  
Yuko Kurosawa ◽  
Yasuko Aita ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Amino Acid ◽  
Brown Adipose Tissue ◽  
Near Infrared ◽  
Winter Season ◽  
Plasma Amino Acid ◽  
Anthropometric Parameters ◽  
Tissue Density ◽  
Brown Adipose ◽  
Branched Chain

This study examined the relationship between plasma amino acid (AA) concentrations, including branched-chain AAs, and brown adipose tissue density (BAT-d). One hundred and seventy-three subjects (69 men, 104 women) aged 22–68 years were recruited during the winter season. AAs were comprehensively quantified using liquid chromatography-time-of-flight-mass spectrometry. The total hemoglobin concentration in the supraclavicular region ([total-Hb]sup), an indicator of BAT-d, was assessed using near-infrared time-resolved spectroscopy. Anthropometric parameters, including age, percentage of body fat, and visceral fat, were evaluated. Factors associated with higher (≥74 µM) or lower (<74 µM) [total-Hb]sup were investigated by multiple logistic regression models that included AA concentrations alone (model 1) or AA concentrations and anthropometric parameters (model 2) as independent variables. When adjusted for the false discovery rate, [total-Hb]sup was positively correlated with glycine and asparagine levels in men and with the serine level in both men and women and was negatively correlated with the branched-chain AA concentration in men. Models 1 and 2 correlated with higher or lower BAT-d for men (r = 0.73, p = 0.015) and women (r = 0.58, p = 0.079) and for men (r = 0.82, p = 0.0070) and women (r = 0.70, p = 0.020), respectively. A combination of anthropometric parameters and plasma AA concentrations could be a reliable biomarker for higher and lower BAT-d.

Human Brown Adipose Tissue Density Assessed by Near-Infrared Time-Resolved Spectroscopy Inversely Correlates with the Body Mass Index in Patients with Type 2 Diabetes

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2080-P
Author(s):  
HIRONORI WAKI ◽  
NAOKO WATANABE ◽  
SAYURI FUSE ◽  
YUKO KUROSAWA ◽  
TOSHIMASA YAMAUCHI ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Adipose Tissue ◽  
Brown Adipose Tissue ◽  
Body Mass ◽  
Near Infrared ◽  
The Body ◽  
Time Resolved ◽  
Brown Adipose

Near-Infrared Spatially Resolved Spectroscopy as an Indirect Technique to Assess Brown Adipose Tissue in Young Women

2018 ◽  
Vol 21 (2) ◽  
pp. 328-338 ◽  
Author(s):  
Francisco M. Acosta ◽  
Jörn Berchem ◽  
Borja Martinez-Tellez ◽  
Guillermo Sanchez-Delgado ◽  
Juan M. A. Alcantara ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Brown Adipose Tissue ◽  
Young Women ◽  
Near Infrared ◽  
Spatially Resolved ◽  
Brown Adipose ◽  
Spatially Resolved Spectroscopy ◽  
Indirect Technique

scholarly journals Spectral Unmixing Imaging for Differentiating Brown Adipose Tissue Mass and Its Activation

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Jing Yang ◽  
Jian Yang ◽  
Chongzhao Ran
Keyword(s):  
Adipose Tissue ◽  
Brown Adipose Tissue ◽  
Large Scale ◽  
Near Infrared ◽  
Clinical Analysis ◽  
Spectral Unmixing ◽  
Tissue Mass ◽  
Nirf Imaging ◽  
Obesity And Diabetes ◽  
Brown Adipose

Recent large-scale clinical analysis indicates that brown adipose tissue (BAT) mass levels inversely correlate with body-mass index (BMI), suggesting that BAT is associated with metabolic disorders such as obesity and diabetes. PET imaging with 18F-FDG is the most commonly used method for visualizing BAT. However, this method is not able to differentiate between BAT mass and BAT activation. This task, in fact, presents a tremendous challenge with no currently existing methods to separate BAT mass and BAT activation. Our previous results indicated that BAT could be successfully imaged in mice with near infrared fluorescent (NIRF) curcumin analogues. However, the results from conventional NIRF imaging could not reflect what portion of the NIRF signal from BAT activation contributed to the signal observed. To solve this problem, we used spectral unmixing to separate/unmix NIRF signal from oil droplets in BAT, which represents its mass and NIRF signal from blood, which represents BAT activation. In this report, results from our proof-of-concept investigation demonstrated that spectral unmixing could be used to separate NIRF signal from BAT mass and BAT activation.

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