Microbiome & Chronic Diseases

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Disease ⇒ Obesity {40000167}

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Gastroenterology, Endocrinology, Metabolomics
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References Notes

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Shared Reference Notes

  • [1.43
    - Early antibiotic exposure in animal models has shown that reductions in the population size of specific microbiota, such as Lactobacillus, Allobaculum, Rikenellaceae, and Candidatus Arthromitus, are related to subsequent adiposity.
  • [1.19
    - The probiotic strain Hafnia alvei HA4597® (HA), which produces the satietogenic peptide ClpB mimicking the effect of alpha-MSH, reduced weight gain and adiposity in rodent models of obesity.
  • [1.44
    - Saturated fatty acids (SFAs) were negatively associated with the genus Intestinimonas, a biomarker of the overweight/obese group.
  • - Dorea formicigenerans, Dorea longicatena and Collinsella aerofaciens could be considered obesity biomarkers.
  • [1.47
    - Bacteroidetes > prevalence is lower in obese people > low-calorie diet > proportion increasealong with weight loss based on a low-calorie diet .
  • - SCFAs > activation of their receptors GPR43 and GPR41 > inhibits lipolysis > adipocyte differentiation.
  • - The presence of a dysbiotic microbiome > subsequent increases in gut permeability to bacteria-derived pathogens, including LPS and ethanol.
    - LPS, gut peptides, SCFAs and lactate > Microbiota-brain-gut axis > Gut afferent neuron > key signaling molecules involved in gut-brain communication and host metabolism.
  • [1.49
    - Low levels of Bifidobacterium adolescentis > associated with greater weight loss > generally decrease in RA following the “good” diet and increase following the “bad” diet
  • - Low levels of Bacteroidetes phylum > associate with obesity and high fasting glucose > increases following the “good” diet and decreases following the “bad” diet
  • - Low levels of Alistipes putredinis > obesity > increased following the “good” diet
  • [1.50
    - gut microbiota, especially Faecalibacterium, Predict postprandial glucose response (PPGR) after eating potatoes.
  • [1.52
    - Maternal consumption of sweeteners > altered cecal microbial composition and metabolism of propionate/lactate in their offspring.
    - Offspring daily body weight gain, liver weight and body fat > correlate positively to the relative abundance of key microbes and enzymes involved in succinate/propionate production while negatively correlated to that of lactose degradation and lactate production.
    - The altered propionate/lactate production in the cecum of weanlings from aspartame and stevia consuming dams implicates an altered ratio of dietary carbohydrate digestion, mainly lactose, in the small intestine vs. microbial fermentation in the large intestine.
  • [1.42
    -Severe obesity is associated with an absolute deficiency in bacterial biotin producers and transporters, whose abundances correlate with host metabolic and inflammatory phenotypes
  • [1.40
    - Gut Dysbiosis > increase hypothalamic microRNA-204 (miR-204), a microRNA > reduce SIRT1 and BDNF > decrease in the sympathetic nerve activity > increase the browning of WAT > Obesity
  • [1.53
    - In 214 humans, they found the average blood levels of delta-valerobetaine was 40 percent higher for people with a BMI greater than 30 compared to those with lower BMIs.
    - delta-valerobetaine contributes to obesity and hepatic steatosis by modulating mitochondrial fatty acid oxidation and increasing lipid storage in the adipose tissue and liver.
  • [1.54
    - yogurt intake impacts the hepatic metabolome, notably maintaining the levels of branched chain hydroxy acids (BCHA) which correlate with improved metabolic parameters
  • [1.55
    - SCFAs have been reported to have potential to enhance intestinal gluconeogenesis, with hepatic glucose production declining and energy-spending increasing.2 Furthermore, SCFAs are capable of facilitating peptide YY (PYY) and glucagon-like peptide-1 (GLP-1) secretion, which can promote satiety and increase peripheral glucose catabolism
  • - increased levels of succinate (an important metabolite of glucose metabolism) in plasma and feces of obese patients and a positive correlation between succinate levels and body weight.
  • - δ-valerobetaine (TMAVA), a trimethylamine N-oxide (TMAO) structural analogue, was indicated to be a diet-dependent obesogen that could exacerbate obesity in mice induced by the western diet
  • - UA has also been shown to prevent hereditary or HFD-induced obesity by increasing energy expenditure mainly through promoting thermogenesis of brown adipose tissue (BAT) and browning of white adipose tissue (WAT)
  • [1.56
    - In healthy human subjects Akkermansia muciniphila was associated to low body weight, low body fat proportion, reduced adipose tissue inflammation and reduced insulin resistance.
  • - several bacteria such as: Methanobrevibacter smithii, Bifidobacterium spp., Bifidobacterium animalis, Escherichia coli, Akkermansia muciniphila, Anaerotruncus colihominis and bacteria of the Bacteroidetes strain have the capability to reduce the production of high-calorie substances and therefore also influence the caloric intake. A relatively low frequency of these bacteria correlates with increased body weight, as we have also observed.
  • [1.28
    - Harboring high levels of Prevotella at baseline resulted in increased weight loss in individuals with excess body weight who consumed whole grain-rich diets

Common References