FADS Gene Polymorphisms, Fatty Acid Desaturase Activities, and HDL-C in Type 2 Diabetes

Huang, Meng‐Chuan; Chang, Wen Tsan; Chang, Hsin-Yu; Chung, Hsin‐Fang; Chen, Fang Pei; Huang, Ya; Hsu, Chih Cheng; Hwang, Shang Jyh

doi:10.3390/ijerph14060572

Cited by 30 publications

(33 citation statements)

References 34 publications

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“…Polymorphisms in these genes influence the circulating levels of various metabolic forms of n-3 and n-6 fatty acids including eicosanoid precursors (217). Multiple studies have found that carriers of the C allele in the FADS1 gene (rs174547) had reduced endogenous production of LC-PUFAs (51,52,218). SNPs in the FADS2 gene (rs2727270, rs498793) have also been correlated with altered PUFA metabolism (51,52).…”

Section: Omega-3 Fatmentioning

confidence: 99%

Nutrition, genetic variation and male fertility

Vanderhout¹,

Panah²,

García‐Bailo³

et al. 2021

Transl Androl Urol

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Infertility affects nearly 50 million couples worldwide, with 40−50% of cases having a male factor component. It is well established that nutritional status impacts reproductive development, health and function, although the exact mechanisms have not been fully elucidated. Genetic variation that affects nutrient metabolism may impact fertility through nutrigenetic mechanisms. This review summarizes current knowledge on the role of several dietary components (vitamins A, B 12 , C, D, E, folate, betaine, choline, calcium, iron, caffeine, fiber, sugar, dietary fat, and gluten) in male reproductive health. Evidence of genenutrient interactions and their potential effect on fertility is also examined. Understanding the relationship between genetic variation, nutrition and male fertility is key to developing personalized, DNA-based dietary recommendations to enhance the fertility of men who have difficulty conceiving.

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Section: Omega-3 Fatmentioning

confidence: 99%

Nutrition, genetic variation and male fertility

Vanderhout¹,

Panah²,

García‐Bailo³

et al. 2021

Transl Androl Urol

View full text Add to dashboard Cite

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“…Each additional copy of the rs9939609 A allele has been associated with a BMI increase of a mean of 0.10 Z -score units, equivalent to ~0.4 kg/m 2 (Sonestedt et al, 2009 ; Tanofsky-Kraff et al, 2009 ; Zhao et al, 2014b ). For the observed genotypes in APOA2 and FADS1 , there is no associated effect (Yabuta et al, 2016 ; Huang et al, 2017 ; Ching et al, 2019 ; Moran et al, 2019 ; Amengual et al, 2020 ; Graßmann et al, 2020 ; Wang et al, 2020 ). For LEPR , a study found that rs1137101 AG and GG carriers with a high fat total intake had 3.0 times higher risk of obesity and 4.1 times higher risk of high cholesterol levels than those with a low intake of total fat (Domínguez-Reyes et al, 2015 ).…”

Section: Resultsmentioning

confidence: 99%

Whole Genome Interpretation for a Family of Five

et al. 2021

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Although best practices have emerged on how to analyse and interpret personal genomes, the utility of whole genome screening remains underdeveloped. A large amount of information can be gathered from various types of analyses via whole genome sequencing including pathogenicity screening, genetic risk scoring, fitness, nutrition, and pharmacogenomic analysis. We recognize different levels of confidence when assessing the validity of genetic markers and apply rigorous standards for evaluation of phenotype associations. We illustrate the application of this approach on a family of five. By applying analyses of whole genomes from different methodological perspectives, we are able to build a more comprehensive picture to assist decision making in preventative healthcare and well-being management. Our interpretation and reporting outputs provide input for a clinician to develop a healthcare plan for the individual, based on genetic and other healthcare data.

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“…Fads2 (involved in biosynthesis of polyunsaturated fatty acids (Huang et al, 2017;Reynolds et al, 2018)), were upregulated and downregulated, respectively, in a temporal manner. In addition, different signalling arms were modulated distinctly in IF16 and EOD.…”

Section: Discussionmentioning

confidence: 99%

Integrative Epigenomic and Transcriptomic Analysis Reveals Robust Metabolic Switching in the Brain During Intermittent Fasting

Sheng

Kang

et al. 2020

Preprint

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Intermittent fasting (IF) is a lifestyle intervention comprising a dietary regimen in which energy intake is restricted via alternating periods of fasting and ad libitum food consumption, without compromising nutritional composition. While epigenetic modifications can mediate effects of environmental factors on gene expression, noinformation is yet available on potential effects of IF on the epigenome. In this study, we found that IF causes modulation of histone H3 lysine 9 trimethylation (H3K9me 3 ) epigenetic mark in the cerebellum of male C57/BL6 mice, which in turn orchestrates a plethora of transcriptomic changes involved in the robust metabolic switching processes commonly observed during IF. Interestingly, both epigenomic and transcriptomic modulation continued to be observed after refeeding, suggesting that memory of the IF-induced epigenetic change is maintained at the locus. Notably though, we found that termination of IF results in a loss of H3K9me 3 regulation of the transcriptome. Collectively, our study characterizes a novel mechanism of IF in the epigenetic-transcriptomic axis, which controls myriad metabolic process changes. In addition to providing a valuable and innovative resource, our systemic analyses reveal molecular framework for understanding how IF impacts the metaboloepigenetics axis of the brain. Highlights:o Intermittent fasting (IF) and refeeding modifies epigenome in the cerebellum o Integrative epigenomic and transcriptomic analyses revealed metabolic switching o IF affects the metaboloepigenetics axis in regulating metabolic processes o Integrative analyses revealed a loss of epigenetic reprogramme following refeeding

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FADS Gene Polymorphisms, Fatty Acid Desaturase Activities, and HDL-C in Type 2 Diabetes

Cited by 30 publications

References 34 publications

Nutrition, genetic variation and male fertility

Nutrition, genetic variation and male fertility

Whole Genome Interpretation for a Family of Five

Integrative Epigenomic and Transcriptomic Analysis Reveals Robust Metabolic Switching in the Brain During Intermittent Fasting

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