Metabolite Profiles of the Relationship between Body Mass Index (BMI) Milestones and Metabolic Risk during Early Adolescence

Perng, Wei; Rahman, Mohammad L.; Aris, Izzuddin M.; Michelotti, Gregory A.; Sordillo, Joanne E.; Chavarro, Jorge E.; Oken, Emily; Hivert, Marie‐France

doi:10.3390/metabo10080316

Cited by 7 publications

(3 citation statements)

References 85 publications

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“…There is growing evidence that the age at AP or AR has a predictive significance for obesity in later life. The current literature has shown that a later AP or an earlier AR is associated with the occurrence of overweight or obesity (6)(7)(8)(9) and the associated adverse health outcomes (insulin resistance/type 2 diabetes mellitus and cardiovascular disorders) in childhood, adolescence, or adulthood (6,7,(9)(10)(11)(12).…”

Section: Introductionmentioning

confidence: 99%

Pre-Birth and Early-Life Factors Associated With the Timing of Adiposity Peak and Rebound: A Large Population-Based Longitudinal Study

Lin

Chen

Huang³

et al. 2021

Front. Pediatr.

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Background: The late occurrence of adiposity peak (AP) and the early occurrence of adiposity rebound (AR) are considered the earliest indicators for obesity and its related health conditions later in life. However, there is still limited information for their upstream factors. Therefore, in this study, we aimed to identify the parental and child factors associated with the timing of AP and AR in the early stage of life.Methods: This is a population-based longitudinal study conducted in Shanghai, China. The BMI data of children born between September 2010 and October 2013 were followed from birth to 80 months. Subject-specific body mass index trajectories were fitted by non-linear mixed-effect models with natural cubic spline functions, and the individual's age at AP and AR was estimated. The generalized linear regression models were applied to identify the upstream factors of late occurrence of AP and early occurrence AR.Results: For 7,292 children with estimated AP, boys were less likely to have a late AP [adjusted risk ratio (RR) = 0.83, 95% confidence interval (CI): 0.77–0.90, p < 0.001], but preterm born children had a higher risk of a late AP (adjusted RR = 1.25, 95% CI: 1.07–1.47, p < 0.01). For 10,985 children with estimated AR, children with breastfeeding longer than 4 months were less likely to have an early AR (adjusted RR = 0.80, 95% CI: 0.73–0.87, p < 0.001), but children who were born to advanced-age mothers and who were born small for gestational age had a higher risk of having an early AR (adjusted RR = 1.21, 95% CI: 1.07–1.36, p < 0.01; adjusted RR = 1.20, 95% CI: 1.04–1.39, p = 0.01).Conclusions: Modifiable pre-birth or early-life factors associated with the timing of AP or AR were found. Our findings may help develop prevention and intervention strategies at the earliest stage of life to control later obesity and the health conditions and diseases linked to it.

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Section: Introductionmentioning

confidence: 99%

Pre-Birth and Early-Life Factors Associated With the Timing of Adiposity Peak and Rebound: A Large Population-Based Longitudinal Study

Lin

Chen

Huang³

et al. 2021

Front. Pediatr.

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“… 35 PAC is involved in fatty acid transport into the mitochondria. 36 It has been shown that conversion of mitochondrial acetylcarnitine to acetyl-CoA in the nucleus provides a source of acetyl groups for histone acetylation. 37 Whether PAC is involved in these epigenetic processes requires further investigation.…”

Section: Discussionmentioning

confidence: 99%

Faecal Microbiota transplantation affects liver DNA methylation in Non-alcoholic fatty liver disease: a multi-omics approach

Stols-Gonçalves,

Mak,

Madsen

et al. 2023

Gut Microbes

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Individuals with nonalcoholic fatty liver disease (NAFLD) have an altered gut microbiota composition. Moreover, hepatic DNA methylation may be altered in the state of NAFLD. Using a fecal microbiota transplantation (FMT) intervention, we aimed to investigate whether a change in gut microbiota composition relates to altered liver DNA methylation in NAFLD. Moreover, we assessed whether plasma metabolite profiles altered by FMT relate to changes in liver DNA methylation. Twenty-one individuals with NAFLD underwent three 8-weekly vegan allogenic donor ( n = 10) or autologous ( n = 11) FMTs. We obtained hepatic DNA methylation profiles from paired liver biopsies of study participants before and after FMTs. We applied a multi-omics machine learning approach to identify changes in the gut microbiome, peripheral blood metabolome and liver DNA methylome, and analyzed cross-omics correlations. Vegan allogenic donor FMT compared to autologous FMT induced distinct differential changes in I) gut microbiota profiles, including increased abundance of Eubacterium siraeum and potential probiotic Blautia wexlerae ; II) plasma metabolites, including altered levels of phenylacetylcarnitine (PAC) and phenylacetylglutamine (PAG) both from gut-derived phenylacetic acid, and of several choline-derived long-chain acylcholines; and III) hepatic DNA methylation profiles, most importantly in Threonyl-TRNA Synthetase 1 ( TARS) and Zinc finger protein 57 ( ZFP57) . Multi-omics analysis showed that Gemmiger formicillis and Firmicutes bacterium _ CAG _170 positively correlated with both PAC and PAG. E siraeum negatively correlated with DNA methylation of cg16885113 in ZFP57 . Alterations in gut microbiota composition by FMT caused widespread changes in plasma metabolites (e.g. PAC, PAG, and choline-derived metabolites) and liver DNA methylation profiles in individuals with NAFLD. These results indicate that FMTs might induce metaorganismal pathway changes, from the gut bacteria to the liver.

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“…Over the last few years, many studies were thus conducted to investigate relationships between demographic characteristics, such as age, sex and body mass index (BMI), and blood metabolite concentrations, identifying the sets of metabolites being most affected by these covariates. These studies include several smaller-sized studies with less than 1000 participants [ 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ], but also studies conducted in larger cohorts including Husermet [ 11 ] (age-related metabolites, 1200 individuals), WRAP [ 12 ] (age-related metabolites, 1212 individuals), KORA F3/F4 [ 13 , 14 ] (sex- and age-related metabolites, 2162 and 3300 individuals), KORA F4/SHIP [ 15 ] (sex-related metabolites, 1756 individuals), Framingham Offspring [ 16 ] (BMI-related metabolites, 2383 individuals) and Twins UK [ 13 , 17 ] (age-related metabolites, 6055 individuals). Some of the largest studies also investigated the relationship between metabolites and menopause status, including ALSPAC [ 18 ] (sex and menopause-related metabolites, 14,541 individuals), and the Northern European cohorts [ 19 ] (age-, sex-, menopause-related metabolites, 26,065 individuals).…”

Section: Introductionmentioning

confidence: 99%

Age, Sex, Body Mass Index, Diet and Menopause Related Metabolites in a Large Homogeneous Alpine Cohort

et al. 2022

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Metabolomics in human serum samples provide a snapshot of the current metabolic state of an individuum. Metabolite concentrations are influenced by both genetic and environmental factors. Concentrations of certain metabolites can further depend on age, sex, menopause, and diet of study participants. A better understanding of these relationships is pivotal for the planning of metabolomics studies involving human subjects and interpretation of their results. We generated one of the largest single-site targeted metabolomics data sets consisting of 175 quantified metabolites in 6872 study participants. We identified metabolites significantly associated with age, sex, body mass index, diet, and menopausal status. While most of our results agree with previous large-scale studies, we also found novel associations including serotonin as a sex and BMI-related metabolite and sarcosine and C2 carnitine showing significantly higher concentrations in post-menopausal women. Finally, we observed strong associations between higher consumption of food items and certain metabolites, mostly phosphatidylcholines and lysophosphatidylcholines. Most, and the strongest, relationships were found for habitual meat intake while no significant relationships were found for most fruits, vegetables, and grain products. Summarizing, our results reconfirm findings from previous population-based studies on an independent cohort. Together, these findings will ultimately enable the consolidation of sets of metabolites which are related to age, sex, BMI, and menopause as well as to participants’ diet.

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Metabolite Profiles of the Relationship between Body Mass Index (BMI) Milestones and Metabolic Risk during Early Adolescence

Cited by 7 publications

References 85 publications

Pre-Birth and Early-Life Factors Associated With the Timing of Adiposity Peak and Rebound: A Large Population-Based Longitudinal Study

Pre-Birth and Early-Life Factors Associated With the Timing of Adiposity Peak and Rebound: A Large Population-Based Longitudinal Study

Faecal Microbiota transplantation affects liver DNA methylation in Non-alcoholic fatty liver disease: a multi-omics approach

Age, Sex, Body Mass Index, Diet and Menopause Related Metabolites in a Large Homogeneous Alpine Cohort

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