scholarly journals Omics Approaches in Adipose Tissue and Skeletal Muscle Addressing the Role of Extracellular Matrix in Obesity and Metabolic Dysfunction

2021 ◽  
Vol 22 (5) ◽  
pp. 2756
Author(s):  
Augusto Anguita-Ruiz ◽  
Mireia Bustos-Aibar ◽  
Julio Plaza-Díaz ◽  
Andrea Mendez-Gutierrez ◽  
Jesús Alcalá-Fdez ◽  
...  

Extracellular matrix (ECM) remodeling plays important roles in both white adipose tissue (WAT) and the skeletal muscle (SM) metabolism. Excessive adipocyte hypertrophy causes fibrosis, inflammation, and metabolic dysfunction in adipose tissue, as well as impaired adipogenesis. Similarly, disturbed ECM remodeling in SM has metabolic consequences such as decreased insulin sensitivity. Most of described ECM molecular alterations have been associated with DNA sequence variation, alterations in gene expression patterns, and epigenetic modifications. Among others, the most important epigenetic mechanism by which cells are able to modulate their gene expression is DNA methylation. Epigenome-Wide Association Studies (EWAS) have become a powerful approach to identify DNA methylation variation associated with biological traits in humans. Likewise, Genome-Wide Association Studies (GWAS) and gene expression microarrays have allowed the study of whole-genome genetics and transcriptomics patterns in obesity and metabolic diseases. The aim of this review is to explore the molecular basis of ECM in WAT and SM remodeling in obesity and the consequences of metabolic complications. For that purpose, we reviewed scientific literature including all omics approaches reporting genetic, epigenetic, and transcriptomic (GWAS, EWAS, and RNA-seq or cDNA arrays) ECM-related alterations in WAT and SM as associated with metabolic dysfunction and obesity.

2015 ◽  
Vol 308 (10) ◽  
pp. E912-E920 ◽  
Author(s):  
Timo Kanzleiter ◽  
Markus Jähnert ◽  
Gunnar Schulze ◽  
Joachim Selbig ◽  
Nicole Hallahan ◽  
...  

The adaptive response of skeletal muscle to exercise training is tightly controlled and therefore requires transcriptional regulation. DNA methylation is an epigenetic mechanism known to modulate gene expression, but its contribution to exercise-induced adaptations in skeletal muscle is not well studied. Here, we describe a genome-wide analysis of DNA methylation in muscle of trained mice ( n = 3). Compared with sedentary controls, 2,762 genes exhibited differentially methylated CpGs ( P < 0.05, meth diff >5%, coverage >10) in their putative promoter regions. Alignment with gene expression data ( n = 6) revealed 200 genes with a negative correlation between methylation and expression changes in response to exercise training. The majority of these genes were related to muscle growth and differentiation, and a minor fraction involved in metabolic regulation. Among the candidates were genes that regulate the expression of myogenic regulatory factors ( Plexin A2) as well as genes that participate in muscle hypertrophy ( Igfbp4) and motor neuron innervation ( Dok7). Interestingly, a transcription factor binding site enrichment study discovered significantly enriched occurrence of CpG methylation in the binding sites of the myogenic regulatory factors MyoD and myogenin. These findings suggest that DNA methylation is involved in the regulation of muscle adaptation to regular exercise training.


2020 ◽  
Author(s):  
Ada Admin ◽  
Neeraj K. Sharma ◽  
Mary E. Comeau ◽  
Dennis Montoya ◽  
Matteo Pellegrini ◽  
...  

Decline in insulin sensitivity due to dysfunction of adipose tissue (AT) is one of the earliest pathogenic events in Type 2 Diabetes. We hypothesize that differential DNA methylation (DNAm) controls insulin sensitivity and obesity by modulating transcript expression in AT. Integrating AT DNAm profiles with transcript profile data measured in a cohort of 230 African Americans from AAGMEx cohort, we performed <i>cis</i>-expression quantitative trait methylation (<i>cis</i>-eQTM) analysis to identify epigenetic regulatory loci for glucometabolic trait-associated transcripts. We identified significantly associated CpG-regions for 82 transcripts (FDR-P<0.05). The strongest eQTM locus was observed for the proopiomelanocortin (<i>POMC</i>; r= -0.632, P= 4.70X10<sup>-27</sup>) gene. Epigenome-wide association studies (EWAS) further identified 155, 46, and 168 CpG regions associated (FDR-P <0.05) with Matsuda index, S<sub>I</sub> and BMI, respectively. Intersection of EWAS, transcript level to trait association, and eQTM results, followed by causal inference test identified significant eQTM loci for 23 genes that were also associated with Matsuda index, S<sub>I </sub>and/or BMI in EWAS. These associated genes include <i>FERMT3</i>, <i>ITGAM</i>, <i>ITGAX</i>, and <i>POMC</i>. In summary, applying an integrative multi-omics approach, our study provides evidence for DNAm-mediated regulation of gene expression at both previously identified and novel loci for many key AT transcripts influencing insulin resistance and obesity.


2020 ◽  
Author(s):  
Ada Admin ◽  
Neeraj K. Sharma ◽  
Mary E. Comeau ◽  
Dennis Montoya ◽  
Matteo Pellegrini ◽  
...  

Decline in insulin sensitivity due to dysfunction of adipose tissue (AT) is one of the earliest pathogenic events in Type 2 Diabetes. We hypothesize that differential DNA methylation (DNAm) controls insulin sensitivity and obesity by modulating transcript expression in AT. Integrating AT DNAm profiles with transcript profile data measured in a cohort of 230 African Americans from AAGMEx cohort, we performed <i>cis</i>-expression quantitative trait methylation (<i>cis</i>-eQTM) analysis to identify epigenetic regulatory loci for glucometabolic trait-associated transcripts. We identified significantly associated CpG-regions for 82 transcripts (FDR-P<0.05). The strongest eQTM locus was observed for the proopiomelanocortin (<i>POMC</i>; r= -0.632, P= 4.70X10<sup>-27</sup>) gene. Epigenome-wide association studies (EWAS) further identified 155, 46, and 168 CpG regions associated (FDR-P <0.05) with Matsuda index, S<sub>I</sub> and BMI, respectively. Intersection of EWAS, transcript level to trait association, and eQTM results, followed by causal inference test identified significant eQTM loci for 23 genes that were also associated with Matsuda index, S<sub>I </sub>and/or BMI in EWAS. These associated genes include <i>FERMT3</i>, <i>ITGAM</i>, <i>ITGAX</i>, and <i>POMC</i>. In summary, applying an integrative multi-omics approach, our study provides evidence for DNAm-mediated regulation of gene expression at both previously identified and novel loci for many key AT transcripts influencing insulin resistance and obesity.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 501-501
Author(s):  
Ji-Won Heo ◽  
Sung-Eun Kim

Abstract Objectives Approximately 50–80% of cancer patients suffer from cachexia represented by weight loss mainly due to loss of skeletal muscle. Cancer-induced cachexia is a complex metabolic syndrome associated with not only systemic inflammation but also perturbations to energy metabolism. In this study, we profiled gene expression patterns of different organs in CT-26 tumor bearing mice in order to understand metabolic dysfunction in cancer cachexia. Methods The transcriptomic profiles of skeletal muscle, adipose tissue, and liver of CT26-tumor bearing mice were generated using SurePrint G3 Mouse Gene Expression 8 × 60 K v2 (Agilent, Inc.). Functional and network analyses were performed using Gene Set Enrichment Analysis and Ingenuity Pathway Analysis (QIAGEN). Results We identified 299, 508, and 1,311 genes differentially regulated in skeletal muscle, adipose tissue, and liver, respectively. In the skeletal muscle, lipid biosynthetic process and mitochondrial electron transport were negatively regulated and network involved in glutamine metabolism was up-regulated. In adipose tissue, tricarboxylic acid cycle was down-regulated and lipid metabolism was associated with several genes including Thrsp, Plvap, and Sphk1. In the liver, regulation of gluconeogenesis was down-regulated, while production of lactic acid and uptake of D-glucose were related with H6pd and Pkm whose expression was up-regulated during cancer cachexia. Furthermore, the top network matched by genes commonly up-regulated in all organs included Bcl3, Csf2rb, Fcgr2a, and Lilrb3, which are known to be associated with inflammation and muscle wasting. Conclusions Our data suggest that skeletal muscle, adipose tissue, and liver present distinct gene expression profiles associated with inflammation and energy metabolism and several genes up-regulated in all organs might be candidate biomarkers for the prevention and early detection of cancer cachexia. Funding Sources This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fei Xiong ◽  
Xiangyun Cheng ◽  
Chao Zhang ◽  
Roland Manfred Klar ◽  
Tao He

Abstract Background Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) remains one of the best-established techniques to assess gene expression patterns. However, appropriate reference gene(s) selection remains a critical and challenging subject in which inappropriate reference gene selction can distort results leading to false interpretations. To date, mixed opinions still exist in how to choose the most optimal reference gene sets in accodrance to the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guideline. Therefore, the purpose of this study was to investigate which schemes were the most feasible for the identification of reference genes in a bone and cartilage bioengineering experimental setting. In this study, rat bone mesenchymal stem cells (rBMSCs), skeletal muscle tissue and adipose tissue were utilized, undergoing either chondrogenic or osteogenic induction, to investigate the optimal reference gene set identification scheme that would subsequently ensure stable and accurate interpretation of gene expression in bone and cartilage bioengineering. Results The stability and pairwise variance of eight candidate reference genes were analyzed using geNorm. The V0.15- vs. Vmin-based normalization scheme in rBMSCs had no significant effect on the eventual normalization of target genes. In terms of the muscle tissue, the results of the correlation of NF values between the V0.15 and Vmin schemes and the variance of target genes expression levels generated by these two schemes showed that different schemes do indeed have a significant effect on the eventual normalization of target genes. Three selection schemes were adopted in terms of the adipose tissue, including the three optimal reference genes (Opt3), V0.20 and Vmin schemes, and the analysis of NF values with eventual normalization of target genes showed that the different selection schemes also have a significant effect on the eventual normalization of target genes. Conclusions Based on these results, the proposed cut-off value of Vn/n + 1 under 0.15, according to the geNorm algorithm, should be considered with caution. For cell only experiments, at least rBMSCs, a Vn/n + 1 under 0.15 is sufficient in RT-qPCR studies. However, when using certain tissue types such as skeletal muscle and adipose tissue the minimum Vn/n + 1 should be used instead as this provides a far superior mode of generating accurate gene expression results. We thus recommended that when the stability and variation of a candidate reference genes in a specific study is unclear the minimum Vn/n + 1 should always be used as this ensures the best and most accurate gene expression value is achieved during RT-qPCR assays.


2020 ◽  
pp. 1-11
Author(s):  
Lorenza Dall’ Aglio ◽  
Jolien Rijlaarsdam ◽  
Rosa H. Mulder ◽  
Alexander Neumann ◽  
Janine F. Felix ◽  
...  

Abstract Background Experimental work in animals has shown that DNA methylation (DNAm), an epigenetic mechanism regulating gene expression, is influenced by typical variation in maternal care. While emerging research in humans supports a similar association, studies to date have been limited to candidate gene and cross-sectional approaches, with a focus on extreme deviations in the caregiving environment. Methods Here, we explored the prospective association between typical variation in maternal sensitivity and offspring epigenome-wide DNAm, in a population-based cohort of children (N = 235). Maternal sensitivity was observed when children were 3- and 4-years-old. DNAm, quantified with the Infinium 450 K array, was extracted at age 6 (whole blood). The influence of methylation quantitative trait loci (mQTLs), DNAm at birth (cord blood), and confounders (socioeconomic status, maternal psychopathology) was considered in follow-up analyses. Results Genome-wide significant associations between maternal sensitivity and offspring DNAm were observed at 13 regions (p < 1.06 × 10−07), but not at single sites. Follow-up analyses indicated that associations at these regions were in part related to genetic factors, confounders, and baseline DNAm levels at birth, as evidenced by the presence of mQTLs at five regions and estimate attenuations. Robust associations with maternal sensitivity were found at four regions, annotated to ZBTB22, TAPBP, ZBTB12, and DOCK4. Conclusions These findings provide novel leads into the relationship between typical variation in maternal caregiving and offspring DNAm in humans, highlighting robust regions of associations, previously implicated in psychological and developmental problems, immune functioning, and stress responses.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
M C Carbajo-García ◽  
A Corachán ◽  
M Segura ◽  
J Monleón ◽  
J Escrig ◽  
...  

Abstract Study question Is DNA methylation reversion through DNA methyltransferases (DNMT) inhibitors, such as 5-aza–2’-deoxycitidine, a potential therapeutic option for treatment of patients with uterine leiomyomas (UL)? Summary answer 5-aza–2’-deoxycitidine reduces proliferation and extracellular matrix (ECM) formation by inhibition of Wnt/ β-catenin pathway on UL cells, suggesting DNMT inhibitors as an option to treat UL. What is known already: UL is a multifactorial disease with an unclear pathogenesis and inaccurate treatment. Aberrant DNA methylation have been found in UL compared to myometrium (MM) tissue, showing hypermethylation of tumor suppressor genes, which contributes to the development of this tumor. The use of DNMT inhibitors, such as 5-aza–2’-deoxycytidine (5-aza-CdR), has been suggested to treat tumors in which altered methylation pattern is related to tumor progression, as occurs in UL. Based on this, we aimed to evaluate whether DNA methylation reversion through 5-aza-CdR reduces cell proliferation and ECM formation in UL cells, being a potential option for UL medical treatment. Study design, size, duration Prospective study comparing UL versus MM tissue and human uterine leiomyoma primary (HULP) cells treated with/without 5-aza-CdR at 0 µM (control), 2 µM, 5 µM and 10 µM for 72 hours. UL and MM tissue were collected from women without any hormonal treatment for the last 3 months (n = 16) undergoing myomectomy or hysterectomy due to symptomatic leiomyoma pathology. Participants were recruited between January 2019 and February 2020 at Hospital Universitario y Politecnico La Fe (Spain). Participants/materials, setting, methods Samples were collected from Caucasian premenopausal women aged 31–48 years, with a body mass index of &lt; 30 and without hormonal treatment. DNMT1 gene expression was analysed in UL vs MM tissue by qRT-PCR and activity of DNMT was measured in UL and MM tissue and cells by ELISA. 5-aza-CdR effect on proliferation was assessed by CellTiter test and Western blot (WB), apoptosis and ECM analyzed by WB and Wnt/ β-catenin pathway by qRT-PCR and WB. Main results and the role of chance: DNMT1 gene expression was increased in UL compared to MM tissue (fold change [FC]=2.49, p-value [p]=0.0295). Similarly, DNMT activity was increased in both UL compared to MM tissue and HULP cells versus MM cells (6.50 vs 3.76 OD/h/mg, p = 0.026; 211.30 vs 63.67 OD/h/mg, p = 0.284, respectively). After 5-aza-CdR treatment, cell viability of HULP cells was reduced in a dose dependent manner, being statistically significant at 10 µM (85.25%, p = 0.0001). Accordantly, PCNA protein expression was significantly decreased at 10 µM in HULP cells (FC = 0.695, p = 0.034), demonstrating cell proliferation inhibition. Additionally, 5-aza-CdR inhibited ECM protein expression in HULP cells in a dose-dependent manner being statistically significant at 10 µM for COLLAGEN I (FC = 0.654, p = 0.023) and PAI–1 (FC = 0.654, p = 0.023), and at 2 µM and 10 µM for FIBRONECTIN (FC = 0.812, p = 0.020; FC = 0.733, p = 0.035; respectively). Final targets of Wnt/ β-catenin pathway were decreased after 5-aza-CdR treatment, protein expression of WISP1 was significantly inhibited at 10 µM (FC = 0.699, p = 0.026), while expression levels of Wnt/ β-catenin target genes C-MYC (FC = 0.745, p = 0.028 at 2 µM; FC = 0.728, p = 0.019 at 10 µM) and MMP7 (FC = 0.520, p = 0.003 at 5 µM, FC = 0.577, p = 0.007 at 10 µM) were also significantly downregulated in HULP-treated cells vs untreated cells. Limitations, reasons for caution: This study has strict inclusion criteria to diminish epigenetic variability, thereby we should be cautious extrapolating our results to general population. Besides, this is a proof of concept with the inherent cell culture limitations. Further studies are necessary to determine 5-aza-CdR dose and adverse effects on UL in vivo. Wider implications of the findings: 5-aza-CdR treatment reduces cell proliferation and ECM formation through Wnt/ β-catenin pathway inhibition, suggesting that inhibition of DNA methylation could be a promising new therapeutic approach to treat UL. Trial registration number Not applicable


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