The effects of ω−6 and ω−3 fatty-acids on early stages of mice DMBA submandibular glands tumorigenesis

Scherma, M.E.; Madzzuduli, G.; Silva, R.A.; Garay, M.I.; Repossi, G; Brunotto, Mabel; Pasqualini, Marìa Eugenia

doi:10.1016/j.plefa.2017.08.004

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…This gene is induced by the TP53 gene, leading to the cessation of cellular proliferation 102 . Scherma et al 103 investigated the effects of ω6 and ω3 FAs on submandibular gland tumorigenesis in mice and, reported that ω3 rich diet signi cantly reduced the number and size of tumors compared to the control diet. In addition, the ω3 rich diet increased the expression of the TP53 gene, which is involved in apoptosis and tumor suppression.…”

Section: Discussionmentioning

confidence: 99%

Skeletal muscle lncRNA profile associated with fatty acids in beef cattle

Salatta,

Muniz,

Fonseca

et al. 2024

Preprint

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This study aimed to identify differentially expressed (DE) long non-coding RNAs (lncRNAs) in muscle tissue of Nellore cattle clustered by their fatty acid profile. Longissimus thoracis muscle samples from 48 young bulls were used to quantify fatty acid (FA) (myristic, palmitic, stearic, oleic, linoleic, conjugated linoleic (CLA), α-linolenic and the groups of saturated fatty acids (SFA), monounsaturated (MUFA), polyunsaturated (PUFA), ω3, ω6, PUFA/SFA ratio and ω6/ω3) and to generate RNA-Sequencing data for transcriptomic analyses. The K-means analysis was used to classify the 48 animals into three clusters based on their FA patterns. The C1 had significantly (p ≤ 0.05) higher PUFA, ω3, ω6, linoleic and α-linolenic content than C2 and C3. The proportion of MUFA, CLA and oleic in the C2 and C3 were significantly (p ≤ 0.05) higher in relation to C1, while C3 had significantly (p ≤ 0.05) higher proportions of ω6/ω3, SFA, myristic, palmitic and stearic proportion than C1 and C2. DE analyses were performed on three different comparisons, C1 vs. C2, C1 vs. C3 and C2 vs. C3, and 25, 28 and 22 DE lncRNAs (fold change > | 2 |, p-value < 0.01 and false discovery rate (FDR) < 0.05) were found, respectively. For C1 vs. C2 comparison, a new transcript “lncRNA_16456.3” was found and was interacted with the genes FAM126A (Family with sequence similarity 126 member A) and IL6 (Interleukin-6). These genes were enriched by GO biological function terms related to cellular response to lipid pathway. For the C1 vs. C3 comparison, the lncRNA "lncRNA_13894.1" interacting with the BNIP3 gene (BCL2/Adenovirus E1B 19 kDa protein-interacting protein 3) was enriched by GO biological function terms related to fat cell differentiation. For the C2 vs. C3 comparison, a new transcript “lncRNA_16618.6” interacted with genes involved in G protein-coupled receptors (GPCRs). Those genes play a crucial role in regulating lipolysis mediated by the cAMP signaling pathway and may be contributing to a higher PUFA fatty acid content in beef. For the three comparisons: C1 vs. C2, C1 vs. C3, and C2 vs. C3, the identified lncRNAs, including genic and intergenic (lincRNA were associated with genes affecting immune response, energy metabolism, lipid and FA metabolism, whose seem to play an essential role in the physiological processes related to meat quality. These findings provide new insights to better understand the biological mechanisms involved in gene regulation of FA composition in beef. This could be valuable for further investigation regarding interaction between lncRNAs and mRNAs and how these interactions may affect meat quality.

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Section: Discussionmentioning

confidence: 99%

Skeletal muscle lncRNA profile associated with fatty acids in beef cattle

Salatta,

Muniz,

Fonseca

et al. 2024

Preprint

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“…Immunoreactivity was considered positive in the cytoplasm for Bax, membrane for E-cadherin, and nuclear for Ki67, and was classified as null, low, medium, and high, according to the criteria of Tanaka et al ( 16 ) and Scherma et al . ( 17 ).…”

Section: Methodsmentioning

confidence: 99%

Connexin 43, Bcl-2, Bax, Ki67, and E-cadherin patterns in oral squamous cell carcinoma and its relationship with GJA1 rs12197797 C/G

Segura¹,

Secchi²,

Galíndez³

et al. 2022

Med Oral

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Background To our knowledge, there is no useful and accurate prognostic biomarker or biomarkers for patients with oral squamous cell carcinoma (OSCC), a tumor with uncertain biological behavior, and unpredicTable clinical progress. The purposes of this study were: a) to determine the expresión profile of Connexin 43, Bcl-2, Bax, E-cadherin, and Ki67 in patients with OSCC; b) identify the GJCA1 rs12197797 genotypic composition. Material and Methods A cross-sectional study using genomic DNA and biopsy samples extracted from the oral mucosa with/without OSCC, older than 18 years, both genders, attended at Facultad de Odontología, Universidad Nacional Córdoba. Immunostaining for Cx43, Bcl-2, Bax, E-cadherin, and Ki67 and genotyping GJA1 rs12197797 by RFLP were performed. Odds Ratio (95% CI), Spearman Coefficient were estimated. Mann-Whitney test was applied to analyze immunostaining between controls/cases ( p <0.05 was set for statistical significance). Results GG (mutant) was the most frequent genotype in patients with OSCC diagnosis (53.2%) in relation to CC “healthy” genotype ( p =0.00487; OR=7.33; CI95% [1.1-54.7]). And, the allele G (mutant) had a presence in 75.5% of OSCC patients. However, no significant association was observed between alleles C/G and diagnosis ( p =0.0565). The heterozygous genotype was the most frequent in the patients of both groups Cx43 and E-cadherin markers were lower in OSCCs in relation to controls. Ki67 and Bcl-2 immunolabeling were high on OSCC, and Bax immunomarker was diminished in OSCC. Conclusions We hypothesized that the oral epithelium losses Connexin 43 and E-cadherin in the membrane, which modifies cell differentiation. The Ki67 and Bcl2 overexpression would increase the cell density in the tissue, by promoting proliferation and decreasing apoptosis. And, this study shows evidence that patients who carry on allele G of GJA1rs12197797 could be at risk of developing OSCC. Key words: Cx43, E-cadherin, Ki67, Bax, Bcl-2, immunostaining expression profile, GJA1 rs12197797 genotyping.

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