Three-Dimensional Adipose Tissue Model Using Low Shear Bioreactors

2006 ◽  
Author(s):  
Cynthia Frye ◽  
Charles Patrick, Jr.
Keyword(s):  
Adipose Tissue ◽  
Three Dimensional ◽  
Tissue Model ◽  
Low Shear

scholarly journals Development of a Three-Dimensional Adipose Tissue Model for Studying Embryonic Exposures to Obesogenic Chemicals

2016 ◽  
Vol 45 (7) ◽  
pp. 1807-1818 ◽  
Author(s):  
Rebecca Y. Wang ◽  
Rosalyn D. Abbott ◽  
Adam Zieba ◽  
Francis E. Borowsky ◽  
David L. Kaplan
Keyword(s):  
Adipose Tissue ◽  
Three Dimensional ◽  
Tissue Model

scholarly journals Sustainable Three-Dimensional Tissue Model of Human Adipose Tissue

2013 ◽  
Vol 19 (10) ◽  
pp. 745-754 ◽  
Author(s):  
Evangelia Bellas ◽  
Kacey G. Marra ◽  
David L. Kaplan
Keyword(s):  
Adipose Tissue ◽  
Three Dimensional ◽  
Human Adipose Tissue ◽  
Tissue Model

scholarly journals Development of a human neuromuscular tissue-on-a-chip model on a 24-well-plate-format compartmentalized microfluidic device

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Kazuki Yamamoto ◽  
Nao Yamaoka ◽  
Yu Imaizumi ◽  
Takunori Nagashima ◽  
Taiki Furutani ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Microfluidic Device ◽  
Motor Neurons ◽  
Muscle Fibers ◽  
Three Dimensional ◽  
Tissue Model ◽  
Skeletal Muscle Fibers

A three-dimensional human neuromuscular tissue model that mimics the physically separated structures of motor neurons and skeletal muscle fibers is presented.

The impact of legs fat mass and legs lean fat mass on thigh circumference according cardiovascular risk: a population-based study

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Chlabicz ◽  
M Paniczko ◽  
J Jamolkowski ◽  
P Sowa ◽  
M Lapinska ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Regression Analysis ◽  
Linear Regression ◽  
Muscle Tissue ◽  
Fat Mass ◽  
Linear Regression Analysis ◽  
Population Based ◽  
Thigh Circumference ◽  
Tissue Model ◽  
The Mean

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Medical University of Bialystok, Poland Introduction A low thigh circumference is associated with an increased risk of high blood pressure, diabetes, cardiovascular diseases, and total mortality. Objectives The aim of the study was to investigate the relationship between the thigh circumference and cardiovascular (CV) risk classes, and to assess what type of tissue, adipose tissue or muscle tissue affects the thigh circumference. Methods The longitudinal, population-based, Polish study was conducted in 2017-2020. A total of 931 individuals aged 20-79 were analyzed. Pol-SCORE system was used to assess the 10-year risk of fatal CV based on the following risk factors: age, gender, smoking, systolic blood pressure, and total cholesterol for individuals aged 40-70.  Then, CV risk classes were assessed using the 2019 ESC/EAS guidelines. The measurement of thigh circumference were performed directly below the gluteal fold of the thigh. Both thighs were measured and the mean value was calculated as the final thigh circumference. Body composition was assessed using Dual Energy X-ray Absorptiometry (DEXA). Results The mean age was 49.1 ± 15.5 years and 43.2% male. The mean thigh circumference was 58.2 ± 5.9 cm, the mean legs fat mass was 7.7 ± 2.8kg, and the mean legs lean mass was 16.9 ± 4.0kg. Lower thigh circumference was associated with higher CV risk classes in univariate linear regression analysis (β -0.516, p = 0.002), as well adjusted by age and sex (β -0.839, p = 0.008), adjusted by age, sex, BMI (β -0.886, p <0.001), and age, sex, WHR (β -0.988, p <0.001). In linear regression analysis legs adipose tissue and muscle tissue were related to the thigh circumference independently of CV risk classes (Model 1) and Pol-SCORE value (Model 2). However, fatty tissue (Model 1: β 0.746, p < 0.001; Model 2: β 0.749, p < 0.001) affects the thigh circumference more than the muscle tissue (Model 1: β 0.479, p < 0.001; Model 2: β 0.442, p < 0.001) (Fig. 1). Conclusion Smaller thigh circumference was associated with higher CV risk classes. Thigh circumference was more influenced by adipose tissue than by muscle tissue, regardless of the Pol-SCORE  or CV risk classes. Table 1. Variable Model 1 Model 2 Beta p R2 Beta p R2 Legs fat mass 0.746 <0.001 0.785 0.749 <0.001 0.760 Legs lean mass 0.479 <0.001 0.785 0.442 <0.001 0.760 Model 1: adjusted for Cardiovascular risk classesModel 2: adjusted for Pol-SCOREResults of the linear regression analysis thigh circumference in the general population Abstract Figure 1.

Application of combined three-dimensional bone and soft tissue model

1998 ◽  
Vol 27 (6) ◽  
pp. 482-484 ◽  
Author(s):  
Gert Santler ◽  
Hans Kaercher ◽  
Alexander Gaggl ◽  
Guenter Schultes
Keyword(s):  
Soft Tissue ◽  
Three Dimensional ◽  
Tissue Model

Evaluation of photodynamic therapy efficiency using an in vitro three-dimensional microfluidic breast cancer tissue model

Lab on a Chip ◽  
2015 ◽  
Vol 15 (3) ◽  
pp. 735-744 ◽  
Author(s):  
Yamin Yang ◽  
Xiaochuan Yang ◽  
Jin Zou ◽  
Chao Jia ◽  
Yue Hu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gold Nanoparticles ◽  
Photodynamic Therapy ◽  
Three Dimensional ◽  
Therapeutic Agents ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Tissue Model

A microfluidic-based in vitro three-dimensional (3D) breast cancer tissue model was established for determining the efficiency of photodynamic therapy (PDT) with therapeutic agents (photosensitizer and gold nanoparticles) under various irradiation conditions.

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