Literature DB >> 34605545

The VitMin Lab Sandwich-ELISA Assays for Iron and Inflammation Markers Compared Well with Clinical Analyzer Reference-Type Assays in Subsamples of the Nepal National Micronutrient Status Survey.

Christina M Fischer1, Ming Zhang1, Maya R Sternberg1, Maria E Jefferds2, Ralph D Whitehead2, Zuguo Mei2, Naveen Paudyal3, Nira Joshi4, Kedar R Parajuli5, Debendra P Adhikari6, Donna J LaVoie1, Christine M Pfeiffer1.   

Abstract

BACKGROUND: The low cost and small specimen volume of the VitMin Lab ELISA assays for serum ferritin (Fer), soluble transferrin receptor (sTfR), C-reactive protein (CRP), and α-1-acid glycoprotein (AGP) have allowed their application to micronutrient surveys conducted in low-resource countries for ∼2 decades.
OBJECTIVES: We conducted a comparison between the ELISA and reference-type assays used in the US NHANES.
METHODS: Using the Roche clinical analyzer as a reference, we measured random subsets of the 2016 Nepal National Micronutrient Status Survey (200 serum samples from children aged 6-59 mo; 100 serum samples from nonpregnant women) for Fer, sTfR, CRP, and AGP. We compared the combined data sets with the ELISA survey results using descriptive analyses.
RESULTS: The Lin's concordance coefficients between the 2 assays were ≥0.89 except for sTfR (Lin's ρ = 0.58). The median relative difference to the reference was as follows: Fer, -8.5%; sTfR, 71.2%; CRP, -19.5%; and AGP, -8.2%. The percentage of VitMin samples agreeing within ±30% of the reference was as follows: Fer, 88.5%; sTfR, 1.70%; CRP, 74.9%; and AGP, 92.9%. The prevalence of abnormal results was comparable between the 2 assays for Fer, CRP, and AGP, and for sTfR after adjusting to the Roche assay. Continued biannual performance (2007-2019) of the VitMin assays in CDC's external quality assessment program (6 samples/y) demonstrated generally acceptable performance.
CONCLUSIONS: Using samples from the Nepal survey, the VitMin ELISA assays produced mostly comparable results to the Roche reference-type assays for Fer, CRP, and AGP. The lack of sTfR assay standardization to a common reference material explains the large systematic difference observed for sTfR, which could be corrected by an adjustment equation pending further validation. This snapshot comparison together with the long-term external quality assessment links the survey data generated by the VitMin Lab to the Roche assays used in NHANES. Published by Oxford University Press on behalf of the American Society for Nutrition 2021.

Entities:  

Keywords:  C-reactive protein; ferritin; inflammation; iron deficiency; micronutrients; soluble transferrin receptor; α-1-acid glycoprotein

Mesh:

Substances:

Year:  2022        PMID: 34605545      PMCID: PMC8864480          DOI: 10.1093/jn/nxab355

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  14 in total

Review 1.  Measuring agreement in method comparison studies.

Authors:  J M Bland; D G Altman
Journal:  Stat Methods Med Res       Date:  1999-06       Impact factor: 3.021

2.  Evaluation of an automated soluble transferrin receptor (sTfR) assay on the Roche Hitachi analyzer and its comparison to two ELISA assays.

Authors:  Christine M Pfeiffer; James D Cook; Zuguo Mei; Mary E Cogswell; Anne C Looker; David A Lacher
Journal:  Clin Chim Acta       Date:  2007-04-24       Impact factor: 3.786

3.  Prevalence and public health relevance of micronutrient deficiencies and undernutrition in pre-school children and women of reproductive age in Côte d'Ivoire, West Africa.

Authors:  Fabian Rohner; Christine Northrop-Clewes; Andres B Tschannen; Patrice E Bosso; Valérie Kouassi-Gohou; Juergen G Erhardt; Mai Bui; Michael B Zimmermann; C G Nicholas Mascie-Taylor
Journal:  Public Health Nutr       Date:  2013-09-04       Impact factor: 4.022

Review 4.  Inflammation and Nutritional Science for Programs/Policies and Interpretation of Research Evidence (INSPIRE).

Authors:  Daniel J Raiten; Fayrouz A Sakr Ashour; A Catharine Ross; Simin N Meydani; Harry D Dawson; Charles B Stephensen; Bernard J Brabin; Parminder S Suchdev; Ben van Ommen
Journal:  J Nutr       Date:  2015-04-01       Impact factor: 4.798

5.  Serum soluble transferrin receptor concentrations in US preschool children and non-pregnant women of childbearing age from the National Health and Nutrition Examination Survey 2003-2010.

Authors:  Zuguo Mei; Christine M Pfeiffer; Anne C Looker; Rafael C Flores-Ayala; David A Lacher; Lisa B Mirel; Laurence M Grummer-Strawn
Journal:  Clin Chim Acta       Date:  2012-06-15       Impact factor: 3.786

Review 6.  Biomarkers of Nutrition for Development (BOND)-Iron Review.

Authors:  Sean Lynch; Christine M Pfeiffer; Michael K Georgieff; Gary Brittenham; Susan Fairweather-Tait; Richard F Hurrell; Harry J McArdle; Daniel J Raiten
Journal:  J Nutr       Date:  2018-06-01       Impact factor: 4.798

7.  Combined measurement of ferritin, soluble transferrin receptor, retinol binding protein, and C-reactive protein by an inexpensive, sensitive, and simple sandwich enzyme-linked immunosorbent assay technique.

Authors:  Juergen G Erhardt; John E Estes; Christine M Pfeiffer; Hans K Biesalski; Neal E Craft
Journal:  J Nutr       Date:  2004-11       Impact factor: 4.798

Review 8.  Laboratory methodologies for indicators of iron status: strengths, limitations, and analytical challenges.

Authors:  Christine M Pfeiffer; Anne C Looker
Journal:  Am J Clin Nutr       Date:  2017-10-25       Impact factor: 7.045

Review 9.  Adjusting ferritin concentrations for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project.

Authors:  Sorrel Ml Namaste; Fabian Rohner; Jin Huang; Nivedita L Bhushan; Rafael Flores-Ayala; Roland Kupka; Zuguo Mei; Rahul Rawat; Anne M Williams; Daniel J Raiten; Christine A Northrop-Clewes; Parminder S Suchdev
Journal:  Am J Clin Nutr       Date:  2017-06-14       Impact factor: 7.045

10.  Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

Authors: 
Journal:  Lancet       Date:  2017-09-16       Impact factor: 79.321

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