ArticleBiomarker research2017
Application of penalized linear regression methods to the selection of environmental enteropathy biomarkers.
Article in Biomarker research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01375647 (Exploration of the Biologic Basis for Underperformance of Oral Polio and Rotavirus Vaccines in Bangladesh), which is not on this map. Cited by 14 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Exploration of the Biologic Basis for Underperformance of Oral Polio and Rotavirus Vaccines in Bangladesh
Who cites it
14 citing papers in PubMed.
- Putative Biomarkers of Environmental Enteric Disease Fail to Correlate in a Cross-Sectional Study in Two Study Sites in Sub-Saharan Africa.Nutrients · 2022Article
- The Use of Penalized Regression Analysis to Identify County-Level Demographic and Socioeconomic Variables Predictive of Increased COVID-19 Cumulative Case Rates in the State of Georgia.International journal of environmental research and public health · 2020Article
- Group penalized generalized estimating equation for correlated event-related potentials and biomarker selection.BMC medical research methodology · 2020Article
- Application of group smoothly clipped absolute deviation method in identifying correlates of psychiatric distress among college students.BMC psychiatry · 2020Article
- Germinal Immunogenetics predict treatment outcome for PD-1/PD-L1 checkpoint inhibitors.Investigational new drugs · 2020Article
- Penalized regression models to select biomarkers of environmental enteric dysfunction associated with linear growth acquisition in a Peruvian birth cohort.PLoS neglected tropical diseases · 2019Article
- Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events.Medical & biological engineering & computing · 2019Article
- Childhood growth and neurocognition are associated with distinct sets of metabolites.EBioMedicine · 2019Article
- Age-dependent co-dependency structure of biomarkers in the general population of the United States.Aging · 2019Article
- Disentangling Microbial Mediators of Malnutrition: Modeling Environmental Enteric Dysfunction.Cellular and molecular gastroenterology and hepatology · 2019Review
- Identifying the etiology and pathophysiology underlying stunting and environmental enteropathy: study protocol of the AFRIBIOTA project.BMC pediatrics · 2018Article
- Exploring the relationship between environmental enteric dysfunction and oral vaccine responses.Future microbiology · 2018Review
- Robust sparse accelerated failure time model for survival analysis.Technology and health care : official journal of the European Society for Engineering and Medicine · 2018Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundEnvironmental Enteropathy (EE) is a subclinical condition caused by constant fecal-oral contamination and resulting in blunting of intestinal villi and intestinal inflammation. Of primary interest in the clinical research is to evaluate the association between non-invasive EE biomarkers and malnutrition in a cohort of Bangladeshi children. The challenges are that the number of biomarkers/covariates is relatively large, and some of them are highly correlated.
methodsMany variable selection methods are available in the literature, but which are most appropriate for EE biomarker selection remains unclear. In this study, different variable selection approaches were applied and the performance of these methods was assessed numerically through simulation studies, assuming the correlations among covariates were similar to those in the Bangladesh cohort. The suggested methods from simulations were applied to the Bangladesh cohort to select the most relevant biomarkers for the growth response, and bootstrapping methods were used to evaluate the consistency of selection results.
resultsThrough simulation studies, SCAD (Smoothly Clipped Absolute Deviation), Adaptive LASSO (Least Absolute Shrinkage and Selection Operator) and MCP (Minimax Concave Penalty) are the suggested variable selection methods, compared to traditional stepwise regression method. In the Bangladesh data, predictors such as mother weight, height-for-age z-score (HAZ) at week 18, and inflammation markers (Myeloperoxidase (MPO) at week 12 and soluable CD14 at week 18) are informative biomarkers associated with children's growth.
conclusionsPenalized linear regression methods are plausible alternatives to traditional variable selection methods, and the suggested methods are applicable to other biomedical studies. The selected early-stage biomarkers offer a potential explanation for the burden of malnutrition problems in low-income countries, allow early identification of infants at risk, and suggest pathways for intervention.
trial registrationThis study was retrospectively registered with ClinicalTrials.gov, number NCT01375647, on June 3, 2011.
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