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The Plasma Proteome Is Associated with Anthropometric Status of Undernourished Nepalese School-Aged Children(1)(2)(3)

Background: Malnutrition affects body growth, size, and composition of children. Yet, few functional biomarkers are known to be associated with childhood morphology. Objective: This cross-sectional study examined associations of anthropometric indicators of height, musculature, and fat mass with pla...

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Autores principales: Lee, Sun Eun, Stewart, Christine P, Schulze, Kerry J, Cole, Robert N, Wu, Lee S-F, Yager, James D, Groopman, John D, Khatry, Subarna K, Adhikari, Ramesh Kant, Christian, Parul, West, Keith P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Nutrition 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320403/
https://www.ncbi.nlm.nih.gov/pubmed/28148680
http://dx.doi.org/10.3945/jn.116.243014
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author Lee, Sun Eun
Stewart, Christine P
Schulze, Kerry J
Cole, Robert N
Wu, Lee S-F
Yager, James D
Groopman, John D
Khatry, Subarna K
Adhikari, Ramesh Kant
Christian, Parul
West, Keith P
author_facet Lee, Sun Eun
Stewart, Christine P
Schulze, Kerry J
Cole, Robert N
Wu, Lee S-F
Yager, James D
Groopman, John D
Khatry, Subarna K
Adhikari, Ramesh Kant
Christian, Parul
West, Keith P
author_sort Lee, Sun Eun
collection PubMed
description Background: Malnutrition affects body growth, size, and composition of children. Yet, few functional biomarkers are known to be associated with childhood morphology. Objective: This cross-sectional study examined associations of anthropometric indicators of height, musculature, and fat mass with plasma proteins by using proteomics in a population cohort of school-aged Nepalese children. Methods: Height, weight, midupper arm circumference (MUAC), triceps and subscapular skinfolds, upper arm muscle area (AMA), and arm fat area (AFA) were assessed in 500 children 6–8 y of age. Height-for-age z scores (HAZs), weight-for-age z scores (WAZs), and body mass index–for-age z scores (BAZs) were derived from the WHO growth reference. Relative protein abundance was quantified by using tandem mass spectrometry. Protein-anthropometry associations were evaluated by linear mixed-effects models and identified as having a false discovery rate (q) <5%. Results: Among 982 proteins, 1, 10, 14, and 17 proteins were associated with BAZ, HAZ, MUAC, and AMA, respectively (q < 0.05). Insulin-like growth factor (IGF)-I, 2 IGF-binding proteins, and carnosinase-1 were associated with both HAZ and AMA. Proteins involved in nutrient transport, activation of innate immunity, and bone mineralization were associated with HAZ. Several extracellular matrix proteins were positively associated with AMA alone. The proteomes of MUAC and AMA substantially overlapped, whereas no proteins were associated with AFA or triceps and subscapular skinfolds. Myosin light-chain kinase, possibly reflecting leakage from muscle, was inversely associated with BAZ. The proteome of WAZ was the largest (n = 33) and most comprehensive, including proteins involved in neural development and oxidative stress response, among others. Conclusions: Plasma proteomics confirmed known biomarkers of childhood growth and revealed novel proteins associated with lean mass in chronically undernourished children. Identified proteins may serve as candidates for assessing growth and nutritional status of children in similar undernourished settings. The antenatal micronutrient supplementation trial yielding the study cohort of children was registered at clinicaltrials.gov as NCT00115271.
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spelling pubmed-53204032017-04-21 The Plasma Proteome Is Associated with Anthropometric Status of Undernourished Nepalese School-Aged Children(1)(2)(3) Lee, Sun Eun Stewart, Christine P Schulze, Kerry J Cole, Robert N Wu, Lee S-F Yager, James D Groopman, John D Khatry, Subarna K Adhikari, Ramesh Kant Christian, Parul West, Keith P J Nutr Genomics, Proteomics, and Metabolomics Background: Malnutrition affects body growth, size, and composition of children. Yet, few functional biomarkers are known to be associated with childhood morphology. Objective: This cross-sectional study examined associations of anthropometric indicators of height, musculature, and fat mass with plasma proteins by using proteomics in a population cohort of school-aged Nepalese children. Methods: Height, weight, midupper arm circumference (MUAC), triceps and subscapular skinfolds, upper arm muscle area (AMA), and arm fat area (AFA) were assessed in 500 children 6–8 y of age. Height-for-age z scores (HAZs), weight-for-age z scores (WAZs), and body mass index–for-age z scores (BAZs) were derived from the WHO growth reference. Relative protein abundance was quantified by using tandem mass spectrometry. Protein-anthropometry associations were evaluated by linear mixed-effects models and identified as having a false discovery rate (q) <5%. Results: Among 982 proteins, 1, 10, 14, and 17 proteins were associated with BAZ, HAZ, MUAC, and AMA, respectively (q < 0.05). Insulin-like growth factor (IGF)-I, 2 IGF-binding proteins, and carnosinase-1 were associated with both HAZ and AMA. Proteins involved in nutrient transport, activation of innate immunity, and bone mineralization were associated with HAZ. Several extracellular matrix proteins were positively associated with AMA alone. The proteomes of MUAC and AMA substantially overlapped, whereas no proteins were associated with AFA or triceps and subscapular skinfolds. Myosin light-chain kinase, possibly reflecting leakage from muscle, was inversely associated with BAZ. The proteome of WAZ was the largest (n = 33) and most comprehensive, including proteins involved in neural development and oxidative stress response, among others. Conclusions: Plasma proteomics confirmed known biomarkers of childhood growth and revealed novel proteins associated with lean mass in chronically undernourished children. Identified proteins may serve as candidates for assessing growth and nutritional status of children in similar undernourished settings. The antenatal micronutrient supplementation trial yielding the study cohort of children was registered at clinicaltrials.gov as NCT00115271. American Society for Nutrition 2017-03 2017-02-01 /pmc/articles/PMC5320403/ /pubmed/28148680 http://dx.doi.org/10.3945/jn.116.243014 Text en http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the CC-BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Genomics, Proteomics, and Metabolomics
Lee, Sun Eun
Stewart, Christine P
Schulze, Kerry J
Cole, Robert N
Wu, Lee S-F
Yager, James D
Groopman, John D
Khatry, Subarna K
Adhikari, Ramesh Kant
Christian, Parul
West, Keith P
The Plasma Proteome Is Associated with Anthropometric Status of Undernourished Nepalese School-Aged Children(1)(2)(3)
title The Plasma Proteome Is Associated with Anthropometric Status of Undernourished Nepalese School-Aged Children(1)(2)(3)
title_full The Plasma Proteome Is Associated with Anthropometric Status of Undernourished Nepalese School-Aged Children(1)(2)(3)
title_fullStr The Plasma Proteome Is Associated with Anthropometric Status of Undernourished Nepalese School-Aged Children(1)(2)(3)
title_full_unstemmed The Plasma Proteome Is Associated with Anthropometric Status of Undernourished Nepalese School-Aged Children(1)(2)(3)
title_short The Plasma Proteome Is Associated with Anthropometric Status of Undernourished Nepalese School-Aged Children(1)(2)(3)
title_sort plasma proteome is associated with anthropometric status of undernourished nepalese school-aged children(1)(2)(3)
topic Genomics, Proteomics, and Metabolomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320403/
https://www.ncbi.nlm.nih.gov/pubmed/28148680
http://dx.doi.org/10.3945/jn.116.243014
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