scholarly journals Intake of Watermelon and Watermelon Byproducts in Male Mice Fed a Western-Style Obesogenic Diet Alters Hepatic Gene Expression Patterns, as Determined by RNA Sequencing

2020 ◽  
Vol 4 (8) ◽  
Author(s):  
Mariana Buranelo Egea ◽  
Gavin Pierce ◽  
Alexandra R Becraft ◽  
Marlena Sturm ◽  
Wesley Yu ◽  
...  

ABSTRACT Background Consumption of watermelon has been associated with beneficial effects on metabolism, including reductions in systolic blood pressure, improved fasting blood glucose levels, and changes in hepatic metabolite accumulation. Objectives In the present study, we investigated the impact of consumption of watermelon flesh (WF), watermelon rind (WR), and watermelon skin (WS) on hepatic gene expression patterns in an obesogenic mouse model. Methods Hepatic RNA was isolated and RNA sequencing was performed following a 10-week feeding trial during which C57BL/6 J mice were provided either a low-fat diet (LF), high-fat diet (HF; controls), or HF plus either WS, WR, or WF. Bioinformatic approaches were used to determine changes in the canonical pathways and gene expression levels for lipid- and xenobiotic-regulating nuclear hormone receptors and other related transcription factors, including the aryl hydrocarbon receptor (AhR), constitutive androstane receptor (CAR), farnesyl X receptor, peroxisome proliferator–activated receptor alpha (PPARα), peroxisome proliferator–activated receptor gamma, liver X receptor, pregnane X receptor, and nuclear factor erythroid 2–related factor 2. Results There were 9394 genes that had unchanged expression levels between all 5 diet groups, and 247, 58, and 34 genes were uniquely expressed in the WF, WR, and WS groups, respectively. The relative levels of mRNAs regulated by AhR, CAR, and PPARα were upregulated in mice in the WF group, as compared to the HF control mice; in comparison, mRNAs regulated mainly by CAR were upregulated in mice in the WR and WS groups, compared to those in the HF control group. Conclusions At modest levels of intake reflective of typical human consumption, mice in the WF, WS, and WR groups exhibited hepatic gene expression profiles that were altered when compared to mice in the HF control group. Several of these changes involve genes regulated by ligand-responsive transcription factors implicated in xenobiotic and lipid metabolisms, suggesting that the modulation of these transcription factors occurred in response to the consumption of WS, WR, and WF. Some of these changes are likely due to nuclear hormone receptor–mediated changes involved in lipid and xenobiotic metabolisms.

iScience ◽  
2021 ◽  
Vol 24 (4) ◽  
pp. 102357
Author(s):  
Brenda Morsey ◽  
Meng Niu ◽  
Shetty Ravi Dyavar ◽  
Courtney V. Fletcher ◽  
Benjamin G. Lamberty ◽  
...  

2014 ◽  
Vol 115 (suppl_1) ◽  
Author(s):  
Michael A Burke ◽  
Stephen Chang ◽  
Danos C Christodoulou ◽  
Joshua M Gorham ◽  
Hiroko Wakimoto ◽  
...  

The complex molecular networks underpinning DCM remain poorly understood. To study distinct pathways and networks in the longitudinal development of DCM we performed RNAseq on LV tissue from mice carrying a human DCM mutation in phospholamban (PLN R9C/+ ) before phenotype onset (pre-DCM), with DCM, and during overt heart failure (HF), and also on isolated myocytes and non-myocytes from DCM hearts. PLN R9C/+ mice show progressive fibrosis (20% vs. 1% control, p=6x10 −33 ; n=3) associated with proliferation of cardiac non-myocytes (33% increase over control, p=6x10 −4 ; n=3). Consistent with this, cardiac non-myocytes have upregulated gene expression and pathways, while these are generally downregulated in myocytes. Non-myocytes were enriched in fibrosis, inflammation, and cell remodeling pathways, from pre-DCM to HF. In contrast, myocytes were enriched for metabolic pathways only with overt DCM and HF. Myocytes showed profound derangement of oxidative phosphorylation with DCM (p=2.5x10 −41 ; 44% (53/120) of pathway genes downregulated), suggesting mitochondrial dysfunction. Additionally, we detected probable inhibition of peroxisome proliferator-activated receptor (PPAR) signaling by diminished expression of pathway genes (Figure). DCM and hypertrophic remodeling was compared using RNAseq of a mouse model of HCM; similar patterns of fibrosis with myocyte metabolic dysregulation were evident despite unique differential gene expression patterns between models. DCM caused by PLN R9C/+ is associated with early non-myocyte proliferation and later myocyte metabolic derangement possibly governed by altered PPAR signaling, and is common to DCM and HCM.


PPAR Research ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Meng Lian ◽  
Jiaming Chen ◽  
Xixi Shen ◽  
Lizhen Hou ◽  
Jugao Fang

The upregulation of peroxisome proliferator-activated receptor gamma (PPARG) has been shown to increase the chemosensitivity of several human cancers. This study is aimed at studying if PPARG sensitizes hypopharyngeal squamous cell carcinoma (HSCC) in chemotherapeutic treatments and at dissecting possible mechanisms of observed effects. We integrated large-scale literature data and HSCC gene expression data to identify regulatory pathways that link PPARG and chemosensitivity in HSCC. Expression levels of molecules within the PPARG regulatory pathways were compared in 21 patients that underwent chemotherapy for primary HSCC, including 12 chemotherapy-sensitive patients (CSP) and 9 chemotherapy-nonsensitive patients (CNSP). In the CPS group, expression levels of PPARG were higher than that in the CNSP group (log‐fold‐change=0.50). Structured text mining identified two chemosensitivity-related regulatory pathways driven by PPARG. In the CSP group, expression levels for 7 chemosensitivity-promoting genes were increased, while for 13 chemosensitivity suppressing the gene expression levels were decreased. Our results support the chemosensitivity-promoting role of PPARG in HSCC tumor cells, most likely by affecting both cell proliferation and cell motility pathways.


2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
M. Ebrahimi ◽  
M. A. Rajion ◽  
Y. M. Goh ◽  
A. Q. Sazili ◽  
J. T. Schonewille

This study was conducted to determine the effects of feeding oil palm frond silage based diets with added linseed oil (LO) containing highα-linolenic acid (C18:3n-3), namely, high LO (HLO), low LO (LLO), and without LO as the control group (CON) on the fatty acid (FA) composition of subcutaneous adipose tissue and the gene expression of peroxisome proliferator-activated receptor (PPAR)α, PPAR-γ, and stearoyl-CoA desaturase (SCD) in Boer goats. The proportion of C18:3n-3 in subcutaneous adipose tissue was increased (P<0.01) by increasing the LO in the diet, suggesting that the FA from HLO might have escaped ruminal biohydrogenation. Animals fed HLO diets had lower proportions of C18:1 trans-11, C18:2n-6, CLA cis-9 trans-11, and C20:4n-6 and higher proportions of C18:3n-3, C22:5n-3, and C22:6n-3 in the subcutaneous adipose tissue than animals fed the CON diets, resulting in a decreased n-6:n-3 fatty acid ratio (FAR) in the tissue. In addition, feeding the HLO diet upregulated the expression of PPAR-γ(P<0.05) but downregulated the expression of SCD (P<0.05) in the adipose tissue. The results of the present study show that LO can be safely incorporated in the diets of goats to enrich goat meat with potential health beneficial FA (i.e., n-3 FA).


Author(s):  
Jing Yang ◽  
Nan Su ◽  
Xiaolan Du ◽  
Lin Chen

AbstractBone displays suppressed osteogenesis in inflammatory diseases such as sepsis and rheumatoid arthritis. However, the underlying mechanisms have not yet been clearly explained. To identify the gene expression patterns in the bone, we performed Affymetrix Mouse Genome 430 2.0 Array with RNA isolated from mouse femurs 4 h after lipopolysaccharide (LPS) administration. The gene expressions were confirmed with real-time PCR. The serum concentration of the N-terminal propeptide of type I collagen (PINP), a bone-formation marker, was determined using ELISA. A total of 1003 transcripts were upregulated and 159 transcripts were downregulated (more than twofold upregulation or downregulation). Increased expression levels of the inflammation-related genes interleukin-6 (IL-6), interleukin-1β (IL-1β) and tumor necrosis factor α (TNF-α) were confirmed from in the period 4 h to 72 h after LPS administration using real-time PCR. Gene ontogene analysis found four bone-related categories involved in four biological processes: system development, osteoclast differentiation, ossification and bone development. These processes involved 25 upregulated genes. In the KEGG database, we further analyzed the transforming growth factor β (TGF-β) pathway, which is strongly related to osteogenesis. The upregulated bone morphogenetic protein 2 (BMP2) and downregulated inhibitor of DNA binding 4 (Id4) expressions were further confirmed by real-time PCR after LPS stimulation. The osteoblast function was determined through examination of the expression levels of core binding factor 1 (Cbfa1) and osteocalcin (OC) in bone tissues and serum PINP from 4 h to 72 h after LPS administration. The expressions of OC and Cbfa1 decreased 6 h after administration (p < 0.05). Significantly suppressed PINP levels were observed in the later stage (from 8 h to 72 h, p < 0.05) but not in the early stage (4 h or 6 h, p > 0.05) of LPS stimulation. The results of this study suggest that LPS induces elevated expressions of skeletal system development- and osteoclast differentiation-related genes and inflammation genes at an early stage in the bone. The perturbed functions of these two groups of genes may lead to a faint change in osteogenesis at an early stage of LPS stimulation. Suppressed bone formation was found at later stages in response to LPS stimulation.


2013 ◽  
Vol 95 (2-3) ◽  
pp. 78-88 ◽  
Author(s):  
KAN HE ◽  
ZHEN WANG ◽  
QISHAN WANG ◽  
YUCHUN PAN

SummaryGene expression profiling of peroxisome-proliferator-activated receptor α (PPARα) has been used in several studies, but there were no consistent results on gene expression patterns involved in PPARα activation in genome-wide due to different sample sizes or platforms. Here, we employed two published microarray datasets both PPARα dependent in mouse liver and applied meta-analysis on them to increase the power of the identification of differentially expressed genes and significantly enriched pathways. As a result, we have improved the concordance in identifying many biological mechanisms involved in PPARα activation. We suggest that our analysis not only leads to more identified genes by combining datasets from different resources together, but also provides some novel hepatic tissue-specific marker genes related to PPARα according to our re-analysis.


2003 ◽  
Vol 31 (2) ◽  
pp. 291-303 ◽  
Author(s):  
JM Weitzel ◽  
S Hamann ◽  
M Jauk ◽  
M Lacey ◽  
A Filbry ◽  
...  

Thyroid hormone (T3) is essential for normal development, differentiation and metabolic balance. We have performed DNA microarray experiments using hepatic RNA from hypothyroid and T3-treated hypothyroid rats in order to characterize T3-induced gene expression patterns after various time points (6, 24 and 48 h after the administration of the hormone). Sixty-two of 4608 different genes displayed a reproducible T3-response, and cluster analysis divided these differentially regulated genes into six expression patterns. Thirty-six genes were not significantly regulated within the first 24 h. Transient transfection experiments of eight late-induced gene promoters failed to detect a thyroid hormone response element within their regulatory elements, suggesting an indirect activation mechanism(s). In search for an intermediate factor of T3 action, we examined whether various rather ubiquitous transcription factors, peroxisome proliferator-activated receptors (PPARs) and coactivators of the PPARgamma coactivator 1 family (PGC-1) are regulated by T3. Only PPARgamma and PERC/PGC-1beta exhibit a significant T3-response within the first 6 h after treatment, identifying these factors as candidate components for mediating the late-induced expression pattern. Regulation of early-induced genes within the first 6 h after administration of T3 on transcript levels correlates with altered protein levels after 24 and 48 h in vivo.


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