Connection Between BMI-Related Plasma Metabolite Profile and Gut Microbiota

Ottosson, Filip; Brunkwall, Louise; Ericson, Ulrika; Nilsson, Peter M.; Almgren, Peter; Fernandez, Céline; Melander, Olle; Orho‐Melander, Marju

doi:10.1210/jc.2017-02114

Cited by 184 publications

(152 citation statements)

References 36 publications

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“…Total energy was scaled for convergence in mixed models with inflammatory dependent values and nutrition covariates. For microbiome analyses, community-level differences between sample groups was assessed with Permutation Multivariate Analysis of Variance (PERMANOVA) on the weighted and unweighted UniFrac distances; associations between microbiome composition, ACE and proinflammatory cytokine response to TSST were assessed, controlling for gestational age at time of stool collection, BMI, and dietary fiber intake, as these are factors that have been shown in other research to impact the gut microbiome (Koren et al, 2012; Ottosson et al, 2018; Wu et al, 2011). Differential abundance was assessed in taxa with >1% mean abundance across samples using generalized linear models; multiple tests were corrected with the Benjamini-Hochberg method.…”

Section: Methodsmentioning

confidence: 99%

Childhood adversity impact on gut microbiota and inflammatory response to stress during pregnancy

Hantsoo

Jašarević

Criniti

et al. 2019

Brain, Behavior, and Immunity

120

105

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Background: Adverse childhood experiences (ACEs), such as abuse or chronic stress, program an exaggerated adult inflammatory response to stress. Emerging rodent research suggests that the gut microbiome may be a key mediator in the association between early life stress and dysregulated glucocorticoid-immune response. However, ACE impact on inflammatory response to stress, or on the gut microbiome, have not been studied in human pregnancy, when inflammation increases risk of poor outcomes. The aim of this study was to assess the relationships among ACE, the gut microbiome, and cytokine response to stress in pregnant women. Methods: Physically and psychiatrically healthy adult pregnant women completed the Adverse Childhood Experiences Questionnaire (ACE-Q) and gave a single stool sample between 20 and 26 weeks gestation. Stool DNA was isolated and 16S sequencing was performed. Three 24-hour food recalls were administered to assess dietary nutrient intake. A subset of women completed the Trier Social Stress Test (TSST) at 22–34 weeks gestation; plasma interleukin-6 (IL-6), interleukin-1β (IL-1β), high sensitivity C-reactive protein (hsCRP), tumor necrosis factor α (TNF-α), and cortisol were measured at four timepoints pre and post stressor, and area under the curve (AUC) was calculated. Results: Forty-eight women completed the ACE-Q and provided stool; 19 women completed the TSST. Women reporting 2 or more ACEs (high ACE) had greater differential abundance of gut Prevotella than low ACE participants (q=5.7×10^−13). Abundance of several gut taxa were significantly associated with cortisol, IL-6, TNF-α and CRP AUCs regardless of ACE status. IL-6 response to stress was buffered among high ACE women with high intake of docosahexaenoic acid (DHA) (p=0.03) and eicosapentaenoic acid (EPA) (p=0.05). Discussion: Our findings suggest that multiple childhood adversities are associated with changes in gut microbiota composition during pregnancy, and such changes may contribute to altered inflammatory and glucocorticoid response to stress. While preliminary, this is the first study to demonstrate an association between gut microbiota and acute glucocorticoid-immune response to stress in a clinical sample. Finally, exploratory analyses suggested that high ACE women with high dietary intake of ω-3 polyunsaturated fatty acids (PUFAs) had a dampened inflammatory response to acute stress, suggesting potentially protective effects of ω-3s in this high-risk population. Given the adverse effects of inflammation on pregnancy and the developing fetus, mechanisms by which childhood adversity influence the gut-brain axis and potential protective factors such as diet should be further explored.

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Section: Methodsmentioning

confidence: 99%

Childhood adversity impact on gut microbiota and inflammatory response to stress during pregnancy

Hantsoo

Jašarević

Criniti

et al. 2019

Brain, Behavior, and Immunity

120

105

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“…The present study sample consisted of 2599 individuals from the ongoing Malmö Offspring Study (MOS), which is a population-based cohort study in which adult (age > 18 years) children and grandchildren of participants in the Malmö Diet and Cancer-Cardiovascular Cohort were recruited [23,24]. Participants were invited by letter and visited the research clinic on two occasions.…”

Section: Methodsmentioning

confidence: 99%

High water intake and low urine osmolality are associated with favorable metabolic profile at a population level: low vasopressin secretion as a possible explanation

et al. 2020

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Purpose Elevated plasma concentration of the vasopressin marker copeptin and low water intake are associated with elevated blood glucose and diabetes risk at a population level. Moreover, in individuals with low urine volume and high urine osmolality (u-Osm), water supplementation reduced fasting plasma (fp) copeptin and fp-glucose. In this observational study, we investigated if low total water intake or high u-Osm correlated with high fp-copeptin and components of the metabolic syndrome at the population level. Methods In the population-based Malmö Offspring Study (MOS, n = 2599), fp-copeptin and u-Osm from morning urine samples were measured, and diet and total water intake (from beverages and food moisture) was assessed by a 4-day webbased record. Results Increasing water intake by tertile was after adjustment for age and sex associated with low fp-triglycerides (p = 0.002) and high fp-HDL (p = 0.004), whereas there was no association with the other investigated metabolic traits (HbA1c, fpglucose, BMI or waist circumference). Increasing u-Osm by tertile was, after adjustment for age and sex, associated with high fp-glucose (p = 0.007), and borderline significantly associated with high HbA1c (p = 0.053), but no association was observed with fp-HDL, fp-triglycerides, BMI or waist circumference. Fp-copeptin concentration correlated significantly with water intake (r = − 0.13, p < 0.001) and u-Osm (r = 0.27, p < 0.001). High copeptin was associated with all investigated metabolic traits (p < 0.001 for all). Conclusion Low concentrations of the vasopressin marker copeptin is linked to high water intake, low u-Osm, and a favorable metabolic profile, suggesting that vasopressin lowering lifestyle interventions, such as increased water intake, may promote metabolic health.

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“…12, 18 However, Lactobacillus and Ruminococcus were reduced in non-obese NASH, similar to findings in non-obese NAFL, and consistent with findings that these genera may have a role in weight regulation. 24, 25 …”

Section: Human Gut Microbiome Profiles In Clinical Phenotypes Of Naflmentioning

confidence: 99%

Emerging Role of the Gut Microbiome in Nonalcoholic Fatty Liver Disease: From Composition to Function

Sharpton

Ajmera

Loomba

2019

Clinical Gastroenterology and Hepatology

136

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The gut microbiome, a diverse microbial community in the gastrointestinal tract, plays a pivotal role in the maintenance of health. The gut microbiome metabolizes dietary and host-derived molecules to produce bioactive metabolites, which have a wide array of effects on host metabolism and immunity. 'Dysbiosis' of the gut microbiome, commonly considered as perturbation of microbiome diversity and composition, has been associated with intestinal and extra-intestinal diseases, including nonalcoholic fatty liver disease (NAFLD). A number of endogenous and exogenous factors, such as nutritional intake and xenobiotic exposure, can alter the gut microbiome. We will review the evolving methods for studying the gut microbiome and how these profiling techniques have been utilized to further our understanding of the gut microbial community composition and functional potential in the clinical spectrum of NAFLD. We will highlight microbiome-host interactions that may contribute to the pathogenesis of NAFLD, with a primary focus on mechanisms related to the metabolic output of the gut microbiome. Finally, we will discuss potential therapeutic implications of the gut microbiome in NAFLD.

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Connection Between BMI-Related Plasma Metabolite Profile and Gut Microbiota

Cited by 184 publications

References 36 publications

Childhood adversity impact on gut microbiota and inflammatory response to stress during pregnancy

Childhood adversity impact on gut microbiota and inflammatory response to stress during pregnancy

High water intake and low urine osmolality are associated with favorable metabolic profile at a population level: low vasopressin secretion as a possible explanation

Emerging Role of the Gut Microbiome in Nonalcoholic Fatty Liver Disease: From Composition to Function

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