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Nathan Goodyear

Inborn-like errors of metabolism are determinants of breast cancer risk, clinical response and survival: a study of human biochemical individuality - 0 views

  • We now recognize that human cancers evolve in an environment of metabolic stress. Rapidly proliferating tumor cells deprived of adequate oxygen, nutrients, hormones and growth factors up-regulate pathways that address these deficiencies to overcome hypoxia (HIF), vascular insufficiency (VEGF), growth factor deprivation (EGFR, HER2) and the loss of hormonal support (ER, PR, AR) all to enhance survival and proliferation
  • RAS, PI3K, TP53 and MYC
  • The results suggest that breast cancer could be preceded by systemic subclinical disturbances in glucose-insulin homeostasis characterized by mild, likely asymptomatic, IEM-like biochemical changes
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  • The process would include variable periods of hyperinsulinemia with the consequent systemic MYC activation of glycolysis, glutaminolysis, structural lipidogenesis and further exacerbation of hypoglycemia, the result of MYC's known role as an inhibitor of liver gluconeogenesis
  • The metabolic changes we describe in breast cancer arise in concert with IEM-like changes in oxidative phosphorylation as detected by increased values of the ratio lactate/pyruvate (Supplementary Table 2A, 2B) characteristic of Ox/Phos deficiency [25]. In our study, 76% (70/92) of the European breast cancer patients had lactate/pyruvate ratios values higher than the normal value of 25.8
  • four-fold higher frequency of cancer (including breast) in patients with energy metabolism disorders
  • growing recognition that cancer cells differ from their normal counterparts in their use of nutrients, synthesis of biomolecules and generation of energy
  • glutamine concentrations in the cancer patients were reduced to nearly 1/8 of the levels observed in the normal population
  • blood concentrations of aspartate (p = 1.7e-67, FDR = 8.3e-67) (Figure ​(Figure1E)1E) and glutamate (p = 6.4e-96, FDR = 6.2e-95) (Figure ​(Figure1F)1F) were nearly 10 fold higher than the normal ranges of 0–5 μM/L and 40 μM/L, respectively
  • glutamine consumption associated with parallel increases in glutamate and aspartate (Figure ​(Figure1A1A red arrows) is considered a hallmark of MYC-driven “glutaminolysis”
  • Gln/Glu ratio inversely correlates with i- late stage metabolic syndrome and with ii- increased chance of death
  • changes in glutamine consumption, reflected by the Gln/Glu ratio could provide a metabolic link between breast cancer initiation and diabetes, reflective of a systemic metabolic reprogramming from glucose to glutamine as the preferred source of precursors for biosynthetic reactions and cellular energy
  • lower Gln/Glu ratios inversely correlated with insulin resistance and the risk of diabetes
  • the metabolic dependencies of cancer characterized by excessive glycolysis, glutaminolysis and malignant lipidogenesis, previously considered a consequence of local tumor DNA aberration [23] could, instead, represent a systemic biochemical aberration that predates and very likely promotes tumorigenesis
  • these metabolic disturbances would be expected to remain extant after therapeutic interventions
  • accumulation of very long chain acylcarnitines such as C14:1-OH (p = 0.0, FDR = 0.0), C16 (p = 0.0, FDR = 0.0), C18 (p = 0.0, FDR = 0.0) and C18:1 (p = 1.73e-322, FDR = 1.16-321) and lipids containing VLCFA (lysoPC a C28:0) (p = 1.14-e95, FDR = 1.65e-95) in the blood of breast and colon cancer patients
  • Among the most powerful metabolic equations for MYC-activation is that which links the widely used MYC-driven desaturation marker ratio of SFA/MUFA to the MYC glutaminolysis-associated ratio of (Asp/Gln)
  • liver dysfunction shares many features with both IEM and cancer suggesting a role for hepatic dysfunction in carcinogenesis
  • cancer “conscripts” the human genome to meet its needs under conditions of systemic metabolic stress
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    Breast cancer is a metabolic disease.  Now, where have I heard that cancer is a metabolic disease?
Nathan Goodyear

Blood Levels of Long-Chain n-3 Fatty Acids and the Risk of Sudden Death - NEJM - 0 views

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    Higher omega 3 fatty acids associated with 81% lower risk of sudden cardiac death.
Nathan Goodyear

An integrative analysis reveals coordinated reprogramming of the epigenome and the transcriptome in human skeletal muscle after training - 0 views

  • contribution to the training response of the epigenome as a mediator between genes and environment
  • Differential DNA methylation was predominantly observed in enhancers, gene bodies and intergenic regions and less in CpG islands or promoters
  • highly consistent and associated modifications in methylation and expression, concordant with observed health-enhancing phenotypic adaptations, are induced by a physiological stimulus
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  • The health benefits following exercise training are elicited by gene expression changes in skeletal muscle, which are fundamental to the remodeling process
  • there is increasing evidence that more short-term environmental factors can influence DNA methylation
  • dietary factors have the potency to alter the degree of DNA methylation in different tissues, 9,10 including skeletal muscle
  • In one study, a single bout of endurance-type exercise was shown to affect methylation at a few promoter CpG sites
  • In the context of diabetes, exercise training has been shown to affect genome-wide methylation pattern in skeletal muscle,13 as well as in adipose tissue.
  • physiological stressors can indeed affect DNA methylation
  • training intervention reshapes the epigenome and induces significant changes in DNA methylation
  • the findings from this tightly controlled human study strongly suggest that the regulation and maintenance of exercise training adaptation is to a large degree associated to epigenetic changes, especially in regulatory enhancer regions
  • Endurance training [after training (T2) vs. before training (T1)] induced significant (false discovery rate, FDR< 0.05) methylation changes at 4919 sites across the genome in the trained leg
  • identified 4076 differentially expressed genes
  • a complementary approach revealed that over 600 CpG sites correlated to the increase in citrate synthase activity, an objective measure of training response (Figure S4 and Dataset S14). This might imply that some of these sites could influence the degree of training response.
  • As expected by a physiological environmental trigger on adult tissue, the observed effect size on DNA methylation was small in comparison to disease states such as cancer
  • a preferential localization outside of CpG Islands/Shelves/Shores
  • endurance training especially influences enhancers
  • negative correlation was more prominent for probes in promoter/5′UTR/1st exon regions, while gene bodies had a stronger peak of positive correlation
  • The significant changes in DNA methylation, that primarily occurred in enhancer regions, were to a large extent associated with relevant changes in gene expression
  • The main findings of this study were that 3 months of endurance training in healthy human volunteers induced significant methylation changes at almost 5000 sites across the genome and significant differential expression of approximately 4000 genes
  • DMPs that increased in methylation were mainly associated to structural remodeling of the muscle and glucose metabolism, while the DMPs with decreased methylation were associated to inflammatory/immunological processes and transcriptional regulation
  • This suggests that the changes in methylation seen with training were not a random effect across the genome but rather a controlled process that likely contributes to skeletal muscle adaptation to endurance training
  • Correlation of the changes in DNA methylation to the changes in gene expression showed that the majority of significant methylation/expression pairs were found in the groups representing either increases in expression with a concomitant decrease in methylation or vice versa
  • The fraction of genes showing both significant decrease in methylation and upregulation was 7.5% of the DEGs or 2.3% of all genes detected in muscle tissue with at least one measured DNA methylation position. Correspondingly, 7.0% of the DEGs or 2.1% of all genes showed both significant increase in methylation and downregulation
  • we show that DNA methylation changes are associated to gene expression changes in roughly 20% of unique genes that significantly changed with training
  • Examples of structural genes include COL4A1, COL4A2 and LAMA4. These genes have also been identified as important for differences in responsiveness to endurance training
  • methylation status could be part of the mechanism behind variable training response
  • Among the metabolic genes, MDH1 catalyzes the reversible oxidation of malate to oxaloacetate, utilizing the NAD/NADH cofactor system in the citric acid cycle and NDUFA8 plays an important role in transferring electrons from NADH to the respiratory chain
  • PPP1R12A,
  • In the present study, methylation predominantly changed in enhancer regions with enrichment for binding motifs for different transcription factors suggesting that enhancer methylation may be highly relevant also in exercise biology
  • Of special interest in the biology of endurance training may be that MRFs, through binding to the PGC-1α core promoter, can regulate this well-studied co-factor for mitochondrial biogenesis
  • That endurance training led to an increased methylation in enhancer regions containing motifs for the MRFs and MEFs is somewhat counterintuitive since it should lead to the repression of the action of the above discussed transcription factors
  • decrease with training in this study, including CDCH15, MYH3, TNNT2, RYR1 and SH3GLB1
  • expression of MEF2A itself decreased with training
  • this study demonstrates that the transcriptional alterations in skeletal muscle in response to a long-term endurance exercise intervention are coupled to DNA methylation changes
  • We suggest that the training-induced coordinated epigenetic reprogramming mainly targets enhancer regions, thus contributing to differences in individual response to lifestyle interventions
  • a physiological health-enhancing stimulus can induce highly consistent modifications in DNA methylation that are associated to gene expression changes concordant with observed phenotypic adaptations
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    Exercise alters gene expression via methylation--the power of epigenetics.  Interestingly, the majority of the methylation was outside the CPG island regions.  This 3 month study found methylation of 5,000 sites across the genome resulting in altered expression of apps 4,000 genes.  The altered muscle changes of the endurance training was linked to DNA methylation changes.
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