Metabolic Groups Related to Blood Vitamin Levels and Inflammatory Biomarkers in Brazilian Children and Adolescents

Almada, Maria Olímpia Ribeiro do Vale; Almeida, Ane Cristina Fayão; Ued, Fábio da Veiga; Mathias, Mariana Giaretta; Coelho‐Landell, Carolina de Almeida; Salomão, Roberta Garcia; Toffano, Roseli Borges Donegá; Camarneiro, Joyce Moraes; Hillesheim, Elaine; Barros, Tamiris Trevisan de; Camelo‐Junior, José Simon; Moco, Sofia; Kaput, Jim; Monteiro, Jacqueline Pontes

doi:10.3177/jnsv.66.515

Cited by 2 publications

(3 citation statements)

References 66 publications

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“…Nutritional advice based on metabotyping may be more effective in promoting improvements in dietary habits when compared to advice based on population averages [ 80 ]. Two metabotypes were identified in our study based on (a) lipid profiles to characterize different responses after daily supplementation of vitamins and minerals [ 81 ] and (b) based on vitamin levels to better characterize metabolic groups in individuals with a greater need for nutritional counseling [ 82 ].…”

Section: Secondary Resultsmentioning

confidence: 99%

“…κ-mean cluster analysis found the dietary components of vitamins, fatty acids, and plasma metabolites to be related to vitamin levels and inflammatory markers ( Table 8 from [ 82 ]). The metabolic group with low plasma levels of B-vitamin biomarkers (riboflavin, pyridoxal, and vitamin B12) also had a lower dietary intake of B-vitamins and higher RBC homocysteine levels.…”

Section: Secondary Resultsmentioning

confidence: 99%

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Human Nutrition Research in the Data Era: Results of 11 Reports on the Effects of a Multiple-Micronutrient-Intervention Study

Kaput,

Monteiro

2024

Nutrients

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Large datasets have been used in molecular and genetic research for decades, but only a few studies have included nutrition and lifestyle factors. Our team conducted an n-of-1 intervention with 12 vitamins and five minerals in 9- to 13-year-old Brazilian children and teens with poor healthy-eating indexes. A unique feature of the experimental design was the inclusion of a replication arm. Twenty-six types of data were acquired including clinical measures, whole-genome mapping, whole-exome sequencing, and proteomic and a variety of metabolomic measurements over two years. A goal of this study was to use these diverse data sets to discover previously undetected physiological effects associated with a poor diet that include a more complete micronutrient composition. We summarize the key findings of 11 reports from this study that (i) found that LDL and total cholesterol and fasting glucose decreased in the population after the intervention but with inter-individual variation; (ii) associated a polygenic risk score that predicted baseline vitamin B12 levels; (iii) identified metabotypes linking diet intake, genetic makeup, and metabolic physiology; (iv) found multiple biomarkers for nutrient and food groups; and (v) discovered metabolites and proteins that are associated with DNA damage. This summary also highlights the limitations and lessons in analyzing diverse omic data.

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Section: Secondary Resultsmentioning

confidence: 99%

Section: Secondary Resultsmentioning

confidence: 99%

Human Nutrition Research in the Data Era: Results of 11 Reports on the Effects of a Multiple-Micronutrient-Intervention Study

Kaput,

Monteiro

2024

Nutrients

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“…One study explored the relationship of 117 pro-inflammatory proteins with different levels of DNA damage and EPA and DHA levels [ 50 ]. A second study explained levels of serum LTAH4 with plasma levels of cobalamin, riboflavin, pyridoxal, and homocysteine [ 51 ]. The third study identified 20 differentially expressed proteins (with iTRAQ technology) between 10 individuals with lower triglycerides, LDL, and VLDL compared to 10 individuals with higher lipid profiles [ 52 ].…”

Section: Discussionmentioning

confidence: 99%

Identifying and Analyzing Topic Clusters in a Nutri-, Food-, and Diet-Proteomic Corpus Using Machine Reading

Monteiro

Morine²,

Ued

et al. 2023

Nutrients

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Nutrition affects the early stages of disease development, but the mechanisms remain poorly understood. High-throughput proteomic methods are being used to generate data and information on the effects of nutrients, foods, and diets on health and disease processes. In this report, a novel machine reading pipeline was used to identify all articles and abstracts on proteomics, diet, food, and nutrition in humans. The resulting proteomic corpus was further analyzed to produce seven clusters of “thematic” content defined as documents that have similar word content. Examples of publications from several of these clusters were then described in a similar way to a typical descriptive review.

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Metabolic Groups Related to Blood Vitamin Levels and Inflammatory Biomarkers in Brazilian Children and Adolescents

Cited by 2 publications

References 66 publications

Human Nutrition Research in the Data Era: Results of 11 Reports on the Effects of a Multiple-Micronutrient-Intervention Study

Human Nutrition Research in the Data Era: Results of 11 Reports on the Effects of a Multiple-Micronutrient-Intervention Study

Identifying and Analyzing Topic Clusters in a Nutri-, Food-, and Diet-Proteomic Corpus Using Machine Reading

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