Journal: Scientific Reports

Article Title: Volumetric body composition analysis of the Cancer Genome Atlas reveals novel body composition traits and molecular markers Associated with Renal Carcinoma outcomes

doi: 10.1038/s41598-024-76280-6

Figure Lengend Snippet: Table defining body composition parameters calculated from the five tissue types segmented by DAFS (Voronoi Health Analytics).

Article Snippet: Karteek Popuri, Vincent Chow, Da Ma, and M. Faisal Beg developed the body composition software from Voronoi Health Analytics, Inc.

Techniques: Marker

Journal: Scientific Reports

Article Title: Volumetric body composition analysis of the Cancer Genome Atlas reveals novel body composition traits and molecular markers Associated with Renal Carcinoma outcomes

doi: 10.1038/s41598-024-76280-6

Figure Lengend Snippet: Representative body composition segmentation performed by DAFS (Voronoi Health Analytics). Representative non-segmented sagittal CT image of the abdomen and pelvis (panel A) and corresponding segmented image (panel B), with subcutaneous adipose tissue (SAT;teal), visceral adipose tissue (VAT;yellow), inter/intramuscular adipose tissue (IMAT; green), skeletal muscle (SKM; red), and bone (purple). Body composition parameters were calculated for the volume defined by the entire lumbar spine (white dashed box, panel B). Representative axial CT at the L3 vertebral body midpoint without segmentation (panel C) and its corresponding automated segmentation (panel D). A magnified view of the paraspinal tissues (panel D, white dashed box) is provided for improved visualization of IMAT (green) within the paraspinal musculature (panel E).

Article Snippet: Karteek Popuri, Vincent Chow, Da Ma, and M. Faisal Beg developed the body composition software from Voronoi Health Analytics, Inc.

Techniques:

Journal: Scientific Reports

Article Title: Volumetric body composition analysis of the Cancer Genome Atlas reveals novel body composition traits and molecular markers Associated with Renal Carcinoma outcomes

doi: 10.1038/s41598-024-76280-6

Figure Lengend Snippet: Distribution of body composition parameters for each individual lumbar level according to sex. Box-and-whisker plots shows distribution of different body composition parameters (panels A-L) in females (red, n = 384) and males (blue, n = 365). Line within box represents the median, box represents interquartile range, and lines represent maximum and minimum values in our cohort. Significance between sex and among lumbar level was established by repeated measures two-way ANOVA (i.e., FDR q -value < 5%). * indicates q -value < 0.05. ** indicates q -value < 0.005. *** indicates q -value < 0.0005. ns indicates q -value > 0.05.

Article Snippet: Karteek Popuri, Vincent Chow, Da Ma, and M. Faisal Beg developed the body composition software from Voronoi Health Analytics, Inc.

Techniques: Whisker Assay

Journal: Scientific Reports

Article Title: Volumetric body composition analysis of the Cancer Genome Atlas reveals novel body composition traits and molecular markers Associated with Renal Carcinoma outcomes

doi: 10.1038/s41598-024-76280-6

Figure Lengend Snippet: Distribution of body composition parameters for the volume of the entire lumbar spine according to sex. Box-and-whisker plots shows distribution of different body composition parameters (panels A-L) in females (red, n = 309) and males (blue, n = 308). The line within the box represents the median, the box represents the interquartile range, and vertical lines represent maximum and minimum values in the cohort. The SKMI was not analyzed here, as this measurement pertains to cross-sectional area, not volume. **** indicates a q -value of < 0.0001. ns indicates q -value > 0.05.

Article Snippet: Karteek Popuri, Vincent Chow, Da Ma, and M. Faisal Beg developed the body composition software from Voronoi Health Analytics, Inc.

Techniques: Whisker Assay

Journal: Scientific Reports

Article Title: Volumetric body composition analysis of the Cancer Genome Atlas reveals novel body composition traits and molecular markers Associated with Renal Carcinoma outcomes

doi: 10.1038/s41598-024-76280-6

Figure Lengend Snippet: Two-tailed Spearman correlation coefficients (ρ) between body composition parameters for the volume of the whole lumbar spine and BMI. Not stratified (panel A, n = 228), stratified by sex (panel B), and stratified by the two most represented self-determined race categories (panel C). Fisher-z-transformed correlations did not differ significantly between groups stratified by sex and self-determined race (i.e., unpaired t-test q -value < 5%).

Article Snippet: Karteek Popuri, Vincent Chow, Da Ma, and M. Faisal Beg developed the body composition software from Voronoi Health Analytics, Inc.

Techniques: Two Tailed Test, Transformation Assay

Journal: Scientific Reports

Article Title: Volumetric body composition analysis of the Cancer Genome Atlas reveals novel body composition traits and molecular markers Associated with Renal Carcinoma outcomes

doi: 10.1038/s41598-024-76280-6

Figure Lengend Snippet: Hazard ratios (HR) of various body composition metrics in male and female patients, calculated utilizing multivariable Cox regression analysis accounting for patient age and stage. Body composition parameters calculated at a single L3 mid slice level (Panel A, n = 224). Volumetric body composition metrics calculated across the entire lumbar spine (Panel B, n = 194). * indicates a p -value of < 0.05. ** indicates a p -value of < 0.01. *** indicates a p -value of < 0.001. **** indicates a p -value of < 0.0001. ns indicates a p -value of ≥ 0.05. DNC indicates that the model did not converge.

Article Snippet: Karteek Popuri, Vincent Chow, Da Ma, and M. Faisal Beg developed the body composition software from Voronoi Health Analytics, Inc.

Techniques:

Journal: Scientific Reports

Article Title: Volumetric body composition analysis of the Cancer Genome Atlas reveals novel body composition traits and molecular markers Associated with Renal Carcinoma outcomes

doi: 10.1038/s41598-024-76280-6

Figure Lengend Snippet: Analysis of adipose tissue and muscle body composition metrics with normal male kidney gene expression. Hierarchically clustered Spearman correlation coefficients ( r ≥ 0.5 or r ≤-0.5) heatmap of genes that correlate with normalized inter/intramuscular, visceral, and subcutaneous adipose tissue (IMAT/TAT, VAT/TAT, and SAT/TAT) and skeletal muscle (SKM) (Panel A). Top 10 significantly enriched pathways in the high (total genes = 96, Panel B) and low (total genes = 111, Panel C) SKM clusters. Kaplan-Meier analyses of male (panel D, high expression ( n = 146) and low expression ( n = 178)) and female (panel E, high expression ( n = 81) and low expression ( n = 104)) clear cell renal cell carcinoma (TCGA-KIRC) patients stratified by high and low expression of genes involved in valine, leucine, and isoleucine ( i.e., BCAA) degradation. Statistical significance was assessed using the log-rank test.

Article Snippet: Karteek Popuri, Vincent Chow, Da Ma, and M. Faisal Beg developed the body composition software from Voronoi Health Analytics, Inc.

Techniques: Expressing

Journal: Scientific Reports

Article Title: Volumetric body composition analysis of the Cancer Genome Atlas reveals novel body composition traits and molecular markers Associated with Renal Carcinoma outcomes

doi: 10.1038/s41598-024-76280-6

Figure Lengend Snippet: Analysis of adipose tissue and muscle body composition metrics with normal female kidney gene expression. Hierarchical clustered Spearman correlation coefficients ( r ≥ 0.5 or r ≤ -0.5) heatmap of genes that correlate with normalized inter/intramuscular, visceral, and subcutaneous adipose tissue (IMAT/TAT, VAT/TAT, and SAT/TAT) and skeletal muscle (SKM) identifies genes that cluster predominantly with high versus low SAT/TAT and IMAT/TAT (Panel A). Top 10 significantly enriched pathways in the high (total genes = 350, Panel B) and low (total genes = 366, Panel C) SAT/TAT and IMAT/TAT clusters identify acid secretion and oxidative phosphorylation (OXPHOS) as significantly enriched pathways in the “Low SAT” group. Kaplan-Meier analyses of male (panel D, high expression ( n = 132) and low expression ( n = 192)) and female (panel E, high expression ( n = 73) and low expression n = (112)) clear cell renal cell carcinoma (TCGA-KIRC) patients stratified by high and low expression of F-type ATPases (complex V of OXPHOS; see Supplemental Fig. ). Statistical significance assessed using the log-rank test.

Article Snippet: Karteek Popuri, Vincent Chow, Da Ma, and M. Faisal Beg developed the body composition software from Voronoi Health Analytics, Inc.

Techniques: Expressing

Journal: Journal of Intellectual Disability Research

Article Title: Web‐based training intervention to increase physical activity level and improve health for adults with intellectual disability

doi: 10.1111/jir.12984

Figure Lengend Snippet: Descriptive characteristics of the participants pre‐training (age, height and weight) and comparison of body composition measures, PA level and QoL; pre‐intervention and post‐intervention

Article Snippet: The BC was measured using a Body Composition Analyser (InBody 270, Seoul, South Korea), which utilised Bioelectrical Impedance Analysis (BIA) (2016 InBody Co., Ltd).

Techniques: Comparison