Penalized regression models to select biomarkers of environmental enteric dysfunction associated with linear growth acquisition in a Peruvian birth cohort.
Environmental enteric dysfunction (EED) is associated with chronic undernutrition. Efforts to identify minimally invasive biomarkers of EED reveal an expanding number of candidate analytes. An analytic strategy is reported to select among candidate biomarkers and systematically express the strength...
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ftdoajarticles:oai:doaj.org/article:c38e346ef03a45c18b1a358383c0b8a5 2023-05-15T15:10:55+02:00 Penalized regression models to select biomarkers of environmental enteric dysfunction associated with linear growth acquisition in a Peruvian birth cohort. Josh M Colston Pablo Peñataro Yori Lawrence H Moulton Maribel Paredes Olortegui Peter S Kosek Dixner Rengifo Trigoso Mery Siguas Salas Francesca Schiaffino Ruthly François Fahmina Fardus-Reid Jonathan R Swann Margaret N Kosek 2019-11-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0007851 https://doaj.org/article/c38e346ef03a45c18b1a358383c0b8a5 EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0007851 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0007851 https://doaj.org/article/c38e346ef03a45c18b1a358383c0b8a5 PLoS Neglected Tropical Diseases, Vol 13, Iss 11, p e0007851 (2019) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2019 ftdoajarticles https://doi.org/10.1371/journal.pntd.0007851 2022-12-31T05:59:57Z Environmental enteric dysfunction (EED) is associated with chronic undernutrition. Efforts to identify minimally invasive biomarkers of EED reveal an expanding number of candidate analytes. An analytic strategy is reported to select among candidate biomarkers and systematically express the strength of each marker's association with linear growth in infancy and early childhood. 180 analytes were quantified in fecal, urine and plasma samples taken at 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 best-fitting subset. These were then included with covariates in linear regression models to obtain estimates of each biomarker's adjusted effect on growth. Transferrin had the largest and most statistically significant adjusted effect on short-term linear growth as measured by LAZ-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 subset explained up to 23.0% of the variability in LAZ-score. Penalized regression modeling approaches can be used to select subsets from large panels of candidate biomarkers of EED. There is a need to systematically express the strength of association of biomarkers with linear growth or other outcomes to compare results across studies. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 13 11 e0007851 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
spellingShingle |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Josh M Colston Pablo Peñataro Yori Lawrence H Moulton Maribel Paredes Olortegui Peter S Kosek Dixner Rengifo Trigoso Mery Siguas Salas Francesca Schiaffino Ruthly François Fahmina Fardus-Reid Jonathan R Swann Margaret N Kosek Penalized regression models to select biomarkers of environmental enteric dysfunction associated with linear growth acquisition in a Peruvian birth cohort. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Environmental enteric dysfunction (EED) is associated with chronic undernutrition. Efforts to identify minimally invasive biomarkers of EED reveal an expanding number of candidate analytes. An analytic strategy is reported to select among candidate biomarkers and systematically express the strength of each marker's association with linear growth in infancy and early childhood. 180 analytes were quantified in fecal, urine and plasma samples taken at 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 best-fitting subset. These were then included with covariates in linear regression models to obtain estimates of each biomarker's adjusted effect on growth. Transferrin had the largest and most statistically significant adjusted effect on short-term linear growth as measured by LAZ-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 subset explained up to 23.0% of the variability in LAZ-score. Penalized regression modeling approaches can be used to select subsets from large panels of candidate biomarkers of EED. There is a need to systematically express the strength of association of biomarkers with linear growth or other outcomes to compare results across studies. |
format |
Article in Journal/Newspaper |
author |
Josh M Colston Pablo Peñataro Yori Lawrence H Moulton Maribel Paredes Olortegui Peter S Kosek Dixner Rengifo Trigoso Mery Siguas Salas Francesca Schiaffino Ruthly François Fahmina Fardus-Reid Jonathan R Swann Margaret N Kosek |
author_facet |
Josh M Colston Pablo Peñataro Yori Lawrence H Moulton Maribel Paredes Olortegui Peter S Kosek Dixner Rengifo Trigoso Mery Siguas Salas Francesca Schiaffino Ruthly François Fahmina Fardus-Reid Jonathan R Swann Margaret N Kosek |
author_sort |
Josh M Colston |
title |
Penalized regression models to select biomarkers of environmental enteric dysfunction associated with linear growth acquisition in a Peruvian birth cohort. |
title_short |
Penalized regression models to select biomarkers of environmental enteric dysfunction associated with linear growth acquisition in a Peruvian birth cohort. |
title_full |
Penalized regression models to select biomarkers of environmental enteric dysfunction associated with linear growth acquisition in a Peruvian birth cohort. |
title_fullStr |
Penalized regression models to select biomarkers of environmental enteric dysfunction associated with linear growth acquisition in a Peruvian birth cohort. |
title_full_unstemmed |
Penalized regression models to select biomarkers of environmental enteric dysfunction associated with linear growth acquisition in a Peruvian birth cohort. |
title_sort |
penalized regression models to select biomarkers of environmental enteric dysfunction associated with linear growth acquisition in a peruvian birth cohort. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2019 |
url |
https://doi.org/10.1371/journal.pntd.0007851 https://doaj.org/article/c38e346ef03a45c18b1a358383c0b8a5 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 13, Iss 11, p e0007851 (2019) |
op_relation |
https://doi.org/10.1371/journal.pntd.0007851 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0007851 https://doaj.org/article/c38e346ef03a45c18b1a358383c0b8a5 |
op_doi |
https://doi.org/10.1371/journal.pntd.0007851 |
container_title |
PLOS Neglected Tropical Diseases |
container_volume |
13 |
container_issue |
11 |
container_start_page |
e0007851 |
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1766341846551756800 |