Evidence map›Paper›PMID 34169348›Full record

ArticleAnalytical and bioanalytical chemistry2021

Optimization of a human milk-directed quantitative sIgA ELISA method substantiated by mass spectrometry.

Kelly A Dingess, Pauline van Dam, Jing Zhu, Marko Mank, Karen Knipping, Albert J R Heck, Bernd Stahl

Open access · hybridAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Kelly A DingessBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, Utrecht, 3584 CH, The Netherlands.
Pauline van DamDanone Nutricia Research, Uppsalalaan 12, Utrecht, 3584 CT, The Netherlands.
Jing ZhuBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, Utrecht, 3584 CH, The Netherlands.
Marko MankDanone Nutricia Research, Uppsalalaan 12, Utrecht, 3584 CT, The Netherlands.
Karen KnippingDanone Nutricia Research, Uppsalalaan 12, Utrecht, 3584 CT, The Netherlands.
Albert J R HeckBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, Utrecht, 3584 CH, The Netherlands.
Bernd StahlDanone Nutricia Research, Uppsalalaan 12, Utrecht, 3584 CT, The Netherlands. Bernd.STAHL@danone.com.
Danone Nutricia Research (Netherlands)Netherlands Metabolomics Centre · NLNutricia Research (Netherlands) · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunoglobulins are the primary protective products in human milk and are responsible for transferring maternal pathogen memory to the infant, providing protection by binding to recognized pathogens and inhibiting virulence. To better understand potentially protective/anti-infective compounds in human milk, the establishment of human milk-tailored analytical approaches is crucial, as most contemporary analytical methods have been optimized for plasma or serum. One of the most prominent immunoglobulins in human milk is secretory immunoglobulin A (sIgA), which may be relevant for the protection of breastfed infants from harmful pathogens. Advanced sIgA detection methods can help monitor the immune status and development of the mother-infant dyad. We therefore developed an enzyme-linked immunosorbent assay (ELISA) sIgA method for the quantitative analysis of IgA plus secretory component (SC), validated with sIgA standards and substantiated by mass spectrometry (MS)-based proteomics. A very strong correlation was observed between the MS-detected IgA1 and the human milk-specific sIgA ELISA (r = 0.82). Overall, the MS data indicate that the developed human milk sIgA ELISA does not differentiate between sIgA1 and sIgA2 and is, therefore, a reflection of total sIgA. Furthermore, our MS data and the human milk-derived sIgA ELISA data are better correlated than data derived from a standard serum IgA ELISA kit (relative to MS IgA1 r = 0.82 and r = 0.42, respectively). We therefore propose our human milk-specific sIgA ELISA as an ideal quantitative indicator of total sIgA with advantages over current serum IgA ELISA kits.

Indexed as

Enzyme-Linked Immunosorbent AssayFemaleHumansImmunoglobulin A, SecretoryImmunoglobulin GLactationMass SpectrometryMilk, HumanReproducibility of ResultsImmunoglobulin A, SecretoryImmunoglobulin GELISAHuman milkMass spectrometryProteomicssIgA

Identifiers

PMID34169348
PMCPMC8405464
OpenAlexW3173564680

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.