<p>Analysis of the caecum bacterial groups in Zucker male obese (Ob) and lean (Le) rats and the serum triglycerides, cholesterol, leptin, insulin, adiponectin, TNF-α, and IL-1β previously measured in the same animals <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094687#pone.0094687-Slavin1" target="_blank">[16]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094687#pone.0094687-Selma1" target="_blank">[17]</a>. Plot analysis of the four animal groups: control lean rats (CTLe, open squares), RE-supplemented lean rats (RELe, black diamonds), control obese rats (CTOb, open triangles) and RE-supplemented obese rats (REOb, black circles).</p
<p>A) Obese Zucker rats weigh significantly more than lean Zucker rats (N = 12; t-test). B) Immunobl...
<p>A) Quantitative RT-PCR analysis of peroxisome proliferator-activated receptor γ (<i>Pparγ</i>) an...
<p>Three mice were used in each group (WT1, WT2, and WT3 for wild-type and Tg1, Tg2, and Tg3 for PGC...
(A) PC for samples. Score plots of PC1 compared with PC2 were derived from hepatic gene expression i...
<p>Principal component plot of mice fed high-fat and control diets. Each dot represents an individua...
<p>Serum and plasma samples from fed GFP and CPT1AM rats were used for all the analyses. (A) Plasma ...
<p>Each symbol represents a sample. Red circles represent healthy rats; Blue circles represent CRC r...
<p>Triangles represent each individual rat with different colours for each fibre, LF = low fat; HF =...
<p>Red dots are for ZDF (<i>fa/+</i>) whereas green ones stand for ZDF (<i>fa/fa</i>) rats. Letters ...
<p>Lean and overweight dogs showed a clear separation in principal component analysis of the postpra...
Panel A: Principal component analysis (PCA) of all anthropometric, transcriptomic and lipidomic data...
<p>(A) Principal component analysis (PCA) score plot of liver samples from <i>Mecp2</i> KO and WT mi...
<p>A. Principal component (PC) 1 versus PC2. There is a strong signal separating groups exposed to p...
In experimental studies, several parameters, such as body weight, body mass index, adiposity index, ...
<p>(A) Score plot and (B) loading plot derived from PCA model classifying control rats (■) and model...
<p>A) Obese Zucker rats weigh significantly more than lean Zucker rats (N = 12; t-test). B) Immunobl...
<p>A) Quantitative RT-PCR analysis of peroxisome proliferator-activated receptor γ (<i>Pparγ</i>) an...
<p>Three mice were used in each group (WT1, WT2, and WT3 for wild-type and Tg1, Tg2, and Tg3 for PGC...
(A) PC for samples. Score plots of PC1 compared with PC2 were derived from hepatic gene expression i...
<p>Principal component plot of mice fed high-fat and control diets. Each dot represents an individua...
<p>Serum and plasma samples from fed GFP and CPT1AM rats were used for all the analyses. (A) Plasma ...
<p>Each symbol represents a sample. Red circles represent healthy rats; Blue circles represent CRC r...
<p>Triangles represent each individual rat with different colours for each fibre, LF = low fat; HF =...
<p>Red dots are for ZDF (<i>fa/+</i>) whereas green ones stand for ZDF (<i>fa/fa</i>) rats. Letters ...
<p>Lean and overweight dogs showed a clear separation in principal component analysis of the postpra...
Panel A: Principal component analysis (PCA) of all anthropometric, transcriptomic and lipidomic data...
<p>(A) Principal component analysis (PCA) score plot of liver samples from <i>Mecp2</i> KO and WT mi...
<p>A. Principal component (PC) 1 versus PC2. There is a strong signal separating groups exposed to p...
In experimental studies, several parameters, such as body weight, body mass index, adiposity index, ...
<p>(A) Score plot and (B) loading plot derived from PCA model classifying control rats (■) and model...
<p>A) Obese Zucker rats weigh significantly more than lean Zucker rats (N = 12; t-test). B) Immunobl...
<p>A) Quantitative RT-PCR analysis of peroxisome proliferator-activated receptor γ (<i>Pparγ</i>) an...
<p>Three mice were used in each group (WT1, WT2, and WT3 for wild-type and Tg1, Tg2, and Tg3 for PGC...