Multi-omics integrative analysis to access role of coiled-coil domain-containing 80 in lipid metabolism

Li, Wenyun; Kuang, Zhichao; Zheng, Mengman; He, Gengsheng; Liu, Yuwei

doi:10.1016/j.bbrc.2020.03.121

Cited by 10 publications

(4 citation statements)

References 16 publications

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“…In another study, it was also mentioned that CCDC80 may be involved in energy and insulin metabolism in vivo, which is of great value for the prediction, diagnosis, and treatment strategy selection of gestational diabetes [21], and it was also mentioned that CCDC80 de ciency increases plasma and liver cholesterol levels in mice, leading to a greater susceptibility to hypercholesterolemia [22] and that the adipokine CCDC80 could be a predictive target for atherosclerosis in patients with in ammatory bowel disease [23]. In addition, the knockdown of CCDC80 in mouse models was found to reduce PPAR signaling processes and fatty acid degradation, leading to decreased levels of arachidonic and -linolenic acid metabolism [24]and promoting fat accumulation. CCDC80 expression seems to be closely related to PC, and in a recent study it was mentioned that ectopic expression of CCDC80 in mouse models was found to inhibit the epithelial-to-mesenchymal transition (EMT) process in pancreatic tumor cells, and inhibition of CCD80 invasion improved overall survival in a mouse model of PC [25], but this nding has not been con rmed in human-related studies.…”

Section: Discussionmentioning

confidence: 99%

Obesity promotes pancreatic cancer through the ECM-PI3K-AKT signaling axis

Zhang

Ouyang

Chen

et al. 2023

Preprint

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Objective To investigate obesity signature genes as potential biomarkers of pancreatic cancer and their possible molecular regulatory mechanisms. Methods Based on the mRNA-Seq data of obesity and pancreatic cancer from GEO and TCGA-GTEx databases, we screened four obesity signature genes using a random forest tree algorithm and analyzed their expression in pancreatic cancer, and constructed a nomogram risk prediction model and performed preliminary validation of the predictive efficiency of the model. Then the tumor immune profile of pancreatic cancer was assessed based on the CIBERSORT algorithm, and the correlation between the four obesity genes and the abundance of tumor immune cell infiltration, and immune checkpoints in pancreatic cancer was discussed. Results The diagnostic ROC curves suggested that the four obesity genes showed good diagnostic efficacy for pancreatic cancer, hinting that they may be potential predictive targets for pancreatic cancer, and the pancreatic cancer risk prediction model based on the four obesity-related genes showed good risk prediction efficacy for pancreatic cancer in the obese population, which has good potential for clinical application. The study also found that the upregulation of COL1A2 expression may activate the PI3K/ART signaling pathway through the mediation of integrin IGTA to promote the development of pancreatic cancer, closely associated with the developm- ent and progression of pancreatic cancer. Conclusion The obesity signature genes CCDC80, COL1A2, DPYSL3 and BCAT1 are potential predictive targets for new pancreatic cancer in obese people, and the upregulation of COL1A2 expression may promote pancreatic cancer development by activating the PI3K/ART signaling pathway.

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Section: Discussionmentioning

confidence: 99%

Obesity promotes pancreatic cancer through the ECM-PI3K-AKT signaling axis

Zhang

Ouyang

Chen

et al. 2023

Preprint

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“…The lipids establishing a high number of correlations were predominantly glycerolphospholipids (125 correlations), followed by glycerolipids (11), bile acids (11); sphingolipids (9); sulfonolipids (7); amino acids and derivatives (2), and sterol lipids (1). Among the genes found upregulated in L+P, those more specifically involved in lipid metabolism and glucose homeostasis were Apolipoprotein E (APOE), Caveolae Associated Protein 1 (CAVIN1), Coiled-Coil Recently, a multi-omics analysis in mice elucidated the role of CCDC80 in regulating arachidonic acid and α-linolenic acid metabolism [47]. At the same time, elongases and desaturases (SCD and ELOVL5) are essential players in fatty acid elongation and desaturation, also regulating fatty acid functions and metabolic fates [48].…”

Section: Plos Onementioning

confidence: 99%

A molecular insight into the lipid changes of pig Longissimus thoracis muscle following dietary supplementation with functional ingredients

et al. 2022

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In this work, the Longissimus thoracis pig skeletal muscle was used as a model to investigate the impact of two different diets, supplemented with n-3 polyunsaturated fatty acids from extruded linseed (L) and polyphenols from grape skin and oregano extracts (L+P), on the lipidomic profile of meat. A standard diet for growing-finishing pigs (CTRL) was used as a control. Changes in lipids profile were investigated through an untargeted lipidomics and transcriptomics combined investigation. The lipidomics identified 1507 compounds, with 195 compounds fitting with the MS/MS spectra of LipidBlast database. When compared with the CTRL group, the L+P diet significantly increased 15 glycerophospholipids and 8 sphingolipids, while the L diet determined a marked up-accumulation of glycerolipids. According to the correlations outlined between discriminant lipids and genes, the L diet may act preventing adipogenesis and the related inflammation processes, while the L+P diet promoted the expression of genes involved in lipids’ biosynthesis and adipogenic extracellular matrix formation and functioning.

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“…The CCDC80 (Coiled-Coil Domain Containing 80) was shown as a central core of the network predicted by STRING, and showed a decrease of its expression at mRNA level in response to the presence of the G allele of the rs516857374A>G. Recently, Li et al [75] showed that CCDC80-knockout could down-regulate PPAR signaling and fatty acid degradation. Furthermore, we identified that the G allele of the rs516857374A>G creates binding sites to a total of 30 genes.…”

Section: A Bta-mir-193a-2-snp May Influence γ-Linolenic Acid and ω6/ω3 Ratio Profilesmentioning

confidence: 99%

Multi-Omics Approach Reveals miR-SNPs Affecting Muscle Fatty Acids Profile in Nelore Cattle

Cardoso

Coutinho

Bruscadin

et al. 2021

Genes

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MicroRNAs (miRNAs) are key regulators of gene expression, potentially affecting several biological processes, whose function can be altered by sequence variation. Hence, the integration of single nucleotide polymorphisms (SNP) and miRNAs can explain individual differences in economic traits. To provide new insights into the effects of SNPs on miRNAs and their related target genes, we carried out a multi-omic analysis to identify SNPs in miRNA mature sequences (miR-SNPs) associated with fatty acid (FA) composition in the Nelore cattle. As a result, we identified 3 miR-SNPs in different miRNAs (bta-miR-2419-3p, bta-miR-193a-2, and bta-miR-1291) significantly associated with FA traits (p-value < 0.02, Bonferroni corrected). Among these, the rs110817643C>T, located in the seed sequence of the bta-miR-1291, was associated with different ω6 FAs, polyunsaturated FA, and polyunsaturated:saturated FA ratios. Concerning the other two miR-SNPs, the rs43400521T>C (located in the bta-miR-2419-3p) was associated with C12:0 and C18:1 cis-11 FA, whereas the rs516857374A>G (located in the bta-miR-193a-2) was associated with C18:3 ω6 and ratio of ω6/ω3 traits. Additionally, to identify potential biomarkers for FA composition, we described target genes affected by these miR-SNPs at the mRNA or protein level. Our multi-omics analysis outlines the effects of genetic polymorphism on miRNA, and it highlights miR-SNPs and target candidate genes that control beef fatty acid composition.

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Multi-omics integrative analysis to access role of coiled-coil domain-containing 80 in lipid metabolism

Cited by 10 publications

References 16 publications

Obesity promotes pancreatic cancer through the ECM-PI3K-AKT signaling axis

Obesity promotes pancreatic cancer through the ECM-PI3K-AKT signaling axis

A molecular insight into the lipid changes of pig Longissimus thoracis muscle following dietary supplementation with functional ingredients

Multi-Omics Approach Reveals miR-SNPs Affecting Muscle Fatty Acids Profile in Nelore Cattle

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