Imperial College London
Alternate

DrJonathanSwann

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Visiting Professor
 
 
 
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Contact

 

+44 (0)20 7594 0728j.swann

 
 
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Location

 

660Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Colston:2019:10.1371/journal.pntd.0007851,
author = {Colston, JM and Peñataro, Yori P and Moulton, LH and Paredes, Olortegui M and Kosek, PS and Rengifo, Trigoso D and Siguas, Salas M and Schiaffino, F and François, R and Fardus-Reid, F and Swann, JR and Kosek, MN},
doi = {10.1371/journal.pntd.0007851},
journal = {PLoS Neglected Tropical Diseases},
title = {Penalized regression models to select biomarkers of environmental enteric dysfunction associated with linear growth acquisition in a Peruvian birth cohort},
url = {http://dx.doi.org/10.1371/journal.pntd.0007851},
volume = {13},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Environmental enteric dysfunction (EED) is associated with chronic undernutrition. Effortsto identify minimally invasive biomarkers of EED reveal an expanding number of candidateanalytes. An analytic strategy is reported to select among candidate biomarkers and systematically express the strength of each marker’s association with linear growth in infancyand early childhood. 180 analytes were quantified in fecal, urine and plasma samples takenat 7, 15 and 24 months of age from 258 subjects in a birth cohort in Peru. Treating the subjects’ length-for-age Z-score (LAZ-score) over a 2-month lag as the outcome, penalized linear regression models with different shrinkage methods were fitted to determine the bestfitting subset. These were then included with covariates in linear regression models to obtainestimates of each biomarker’s adjusted effect on growth. Transferrin had the largest andmost statistically significant adjusted effect on short-term linear growth as measured byLAZ-score–a coefficient value of 0.50 (0.24, 0.75) for each log2 increase in plasma transferrin concentration. Other biomarkers with large effect size estimates included adiponectin,arginine, growth hormone, proline and serum amyloid P-component. The selected subsetexplained up to 23.0% of the variability in LAZ-score. Penalized regression modelingapproaches can be used to select subsets from large panels of candidate biomarkers ofEED. There is a need to systematically express the strength of association of biomarkerswith linear growth or other outcomes to compare results across studies.
AU  - Colston,JM
AU  - Peñataro,Yori P
AU  - Moulton,LH
AU  - Paredes,Olortegui M
AU  - Kosek,PS
AU  - Rengifo,Trigoso D
AU  - Siguas,Salas M
AU  - Schiaffino,F
AU  - François,R
AU  - Fardus-Reid,F
AU  - Swann,JR
AU  - Kosek,MN
DO  - 10.1371/journal.pntd.0007851
PY  - 2019///
SN  - 1935-2727
TI  - Penalized regression models to select biomarkers of environmental enteric dysfunction associated with linear growth acquisition in a Peruvian birth cohort
T2  - PLoS Neglected Tropical Diseases
UR  - http://dx.doi.org/10.1371/journal.pntd.0007851
UR  - http://hdl.handle.net/10044/1/75767
VL  - 13
ER  -
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