Metabolomic Signatures and Metabolic Complications in Childhood Obesity

Balikcioglu, Pinar Gumus; Newgard, Christopher B.

doi:10.1007/978-3-319-68192-4_21

Cited by 8 publications

(18 citation statements)

References 96 publications

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“…In addition, glycine levels trended lower in the adolescents with obesity, which is consistent with studies in adults with obesity and in rodent models (38). These metabolites were analyzed in the adolescents in our study, as they are emerging biomarkers for obesity and future development of type 2 diabetes in adults (11). In fact, BCAAs are typically elevated in adults with obesity and are among the strongest baseline predictors of improvements in insulin sensitivity with weight loss (39) as well as later‐life development of type 2 diabetes in adults (11).…”

Section: Discussionmentioning

confidence: 99%

“…These metabolites were analyzed in the adolescents in our study, as they are emerging biomarkers for obesity and future development of type 2 diabetes in adults (11). In fact, BCAAs are typically elevated in adults with obesity and are among the strongest baseline predictors of improvements in insulin sensitivity with weight loss (39) as well as later‐life development of type 2 diabetes in adults (11). However, unlike in adult obesity in humans and animal models, in which BCAAs and BCKAs are both elevated, BCKAs were lower in obesity patients from our adolescent cohort.…”

Section: Discussionmentioning

confidence: 99%

“…A study examining potential biomarkers of later‐life disease progression characterized metabolites associated with obesity in 396 girls (mean age, 11.2 years at baseline) over a 7‐year period. The authors found that the serum levels of the BCAA leucine and isoleucine at baseline positively correlated with triglyceride levels at age 18, regardless of the triglyceride level at baseline (11).…”

Section: Discussionmentioning

confidence: 99%

“…Notably, an Israeli study following approximately 3,000 youth from adolescence through midlife found that if teens with obesity were able to achieve a normal BMI by adulthood, their risk of diabetes development was reversed so that it was comparable with those adults who never had obesity (10). Second, adolescence is a unique window of development, and its associated microbiome and metabolic signatures in health and disease are understudied compared with those signatures in adults (11). Similarly, although significant evidence supports the association between decreased gut microbiome diversity and obesity in adults, this has not been confirmed in a larger and racially diverse group of adolescents (12), even though obesity and its complications are more prevalent in racial and ethnic minorities (13).…”

Section: Introductionmentioning

confidence: 99%

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The Pediatric Obesity Microbiome and Metabolism Study (POMMS): Methods, Baseline Data, and Early Insights

McCann

Bihlmeyer

Roche

et al. 2021

Obesity

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The purpose of this study was to establish a biorepository of clinical, metabolomic, and microbiome samples from adolescents with obesity as they undergo lifestyle modification. Methods: A total of 223 adolescents aged 10 to 18 years with BMI ≥95th percentile were enrolled, along with 71 healthy weight participants. Clinical data, fasting serum, and fecal samples were collected at repeated intervals over 6 months. Herein, the study design, data collection methods, and interim analysis-including targeted serum metabolite measurements and fecal 16S ribosomal RNA gene amplicon sequencing among adolescents with obesity (n = 27) and healthy weight controls (n = 27)-are presented. Results: Adolescents with obesity have higher serum alanine aminotransferase, C-reactive protein, and glycated hemoglobin, and they have lower high-density lipoprotein cholesterol when compared with healthy weight controls. Metabolomics revealed differences in branched-chain amino acid-related metabolites. Also observed was a differential abundance of specific microbial taxa and lower species diversity among adolescents with obesity when compared with the healthy weight group. Conclusions: The Pediatric Metabolism and Microbiome Study (POMMS) biorepository is available as a shared resource. Early findings suggest evidence of a metabolic signature of obesity unique to adolescents, along with confirmation of previously reported findings that describe metabolic and microbiome markers of obesity.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Pediatric Obesity Microbiome and Metabolism Study (POMMS): Methods, Baseline Data, and Early Insights

McCann

Bihlmeyer

Roche

et al. 2021

Obesity

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“…This explains why men tend to develop central obesity around the abdomen area which is known as (apple -shaped) where women develop lower body fat around the hip and thigh and is known as (pearshaped) [5]. There are several health consequences related to obesity, such as diabetes, hypertension, cardiovascular diseases, sleep apnea, osteoarthritis, cancer, kidney stones and respiratory diseases [6]. Among a vast amount of studies, significant relationship between chilhood obesity and risk of devolping cardiovascular diseases has been commonly seen [7].…”

Section: Introductionmentioning

confidence: 99%

Childhood Obesity and Quality of Meals: The Saudi School Meal and Home Meal Study SSMHMS – A Cross Sectional Study

Eid¹,

Aljahdali²,

Albajri³

et al. 2018

JFNR

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Epidemiological studies have shown a strong association between childhood obesity and quality of food consumed in schools and at home as well. The objectives of this study are to assess quality of school meals and home meals of children between the age 3 to 5 years old, and their obesity level. A cross sectional study conducted on one hundred and thirty children (3-6 years of age; 73 boys and 57 girls) of a private preschool in Jeddah city .Firstly we assessed children weights using anthropometric measurements (height, weight, BMI, IBW/Age, IHT/Age). Secondly Schools meals were analyzed using the USD super tracker (food analysis program) and dietary intakes using both FFQs and 2-day food records to be filled by mothers. We also assessed mother's knowledge, using a questionnaire. Statistical analysis was conducted using SPSS program by applying one way ANOVA using the LSD test and univariate ANOVA test. Data have shown that the prevalence of normal weight, underweight and overweight of the subjects were 66.1%, 6.7% 26.3% respectively. Results showed a significant difference between normal weight student and overweight (p≥ 0.001) and a significant difference between underweight student (p≥ 0.001) and overweight student. Also, there was a significant difference between underweight student and normal weight student (p≥ 0.001). School meal analysis results indicated that the total calories on breakfast are slightly low (23% of total requirement) but the total calories in lunch are slightly high (40% of total requirement) comparing to RDA. Protein content was at the normal range, whereas carbohydrates and saturated fat were at the higher level at lunch (>7%). Finally, responses from mothers on child's home meals were zero. In conclusion, the current study showed that 27% of children were overweight, and meals did not meet the RDA with carbohydrate and fat and lack of interest with mothers to be involved in child nutrition. Such data suggests an increase in the awareness of nutrition and health to staff responsible of preparing meals at schools, teachers and mothers to prevent childhood obesity.

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Impact of lifestyle Intervention on branched‐chain amino acid catabolism and insulin sensitivity in adolescents with obesity

Trub

Balikcioglu

Freemark

et al. 2021

Endocrino Diabet & Metabol

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Metabolomic Signatures and Metabolic Complications in Childhood Obesity

Cited by 8 publications

References 96 publications

The Pediatric Obesity Microbiome and Metabolism Study (POMMS): Methods, Baseline Data, and Early Insights

The Pediatric Obesity Microbiome and Metabolism Study (POMMS): Methods, Baseline Data, and Early Insights

Childhood Obesity and Quality of Meals: The Saudi School Meal and Home Meal Study SSMHMS – A Cross Sectional Study

Impact of lifestyle Intervention on branched‐chain amino acid catabolism and insulin sensitivity in adolescents with obesity

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