Evidence map›Paper›PMID 32775222›Full record

ArticleMethodsX2020

Comparison of three different ELISAs for the detection of recombinant, native and plasma IL-17A.

Mohamad Bachar Ismail, Selma Olsson Åkefeldt, Magda Lourda, Désirée Gavhed, Rémi Gayet, Maurizio Aricò, Jan-Inge Henter, Christine Delprat, Hélène Valentin

Open access · goldAbstract read
In one paragraph

Article in MethodsX, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 89% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

9 authors at 6 institutions in 4 countries.

Mohamad Bachar IsmailLaboratoire Microbiologie Santé et Environnement, Doctoral School of Sciences and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon.
Selma Olsson ÅkefeldtChildhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
Magda LourdaChildhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
Désirée GavhedChildhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
Rémi GayetFaculté de Médecine, Groupe sur l'Immunité des Muqueuses et Agents Pathogènes (GIMAP), 10 rue de la Marandière, 42270 Saint Priest en Jarez, France.
Maurizio AricòAzienda Ospedaliero-Universitaria A. Meyer Children Hospital, Firenze, Italy.
Jan-Inge HenterChildhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
Christine DelpratUnivLyon, Université Claude Bernard Lyon 1, Villeurbanne, France.
Hélène ValentinINSERM U1052, CNRS UMR5686, Cancer Research Center of Lyon (CRCL), Lyon, France.
Karolinska University Hospital · SECentre National de la Recherche Scientifique · FRInserm · FRKarolinska Institutet · SELebanese University · LBMeyer Children's Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasma IL-17A detection in Langerhans Cell Histiocytosis (LCH) is currently a source of debate. Indeed, 500-P07G (PeproTech) and 41802 (R&D Systems) anti-IL-17A antibodies have been suspected to recognize nonspecific proteins. To resolve this discrepancy, we set up two new ELISAs by using 41802 or neutralizing eBio64CAP17 (eBioscience) capture monoclonal antibodies that we compared to the commercial PeproTech ELISA kit. The three ELISAs, called E_500-P07G, E_41802 and E_eBio64CAP17, differ in their anti-IL-17A capture antibodies: either polyclonal, monoclonal or neutralizing monoclonal antibodies, respectively. Here, we show that these ELISAs had a similar capacity to specifically detect recombinant or native human IL-17A. However, a significantly lower plasma IL-17A detection was obtained with E_41802 compared to the two other ELISAs. Both E_500-P07G and E_eBio64CAP17 showed similar results. Consequently, we propose that the use of E_500-P07G and E_eBio64CAP17 may ensure more accurate and reliable results in the context of LCH studies. The highest plasma IL-17A levels in LCH patients compared to controls detected by both E_500-P07G and E_eBio64CAP17 ELISAs led us to propose these latter as reference techniques to investigate IL-17A as a potential new biomarker in LCH.•The customization of a new E_eBio64CAP17 ELISA is suitable to detect human IL-17A.•E_eBio64CAP17 ELISA protocol differs only in the anti-IL-17A capture antibody compared to the commercial E_500-P07G PeproTech kit.•Data generated using the E_eBio64CAP17 ELISA are consistent with the PeproTech kit.

Indexed as

41802 antibody500-P07G antibodyAb, antibodyCI, Confidence IntervalE_41802, ELISA using 41802 capture mAbeBio64CAP17 antibodyE_eBio64CAP17, ELISA using eBio64CAP17 capture neutralizing mAbELISAELISA, Enzyme-Linked-Immunosorbent-AssayIL-17A, Interleukin-17AInflammationInterleukin-17ALangerhans Cell HistiocytosisLCH, Langerhans Cell HistiocytosismAb, monoclonal AntibodyOD, optical density, E_500-P07G, ELISA using 500-P07G capture polyclonal AbPBLs, Peripheral Blood LymphocytesPBMCs, peripheral blood mononuclear cellsPlasmarhIL-17A, recombinant human IL-17A

Identifiers

PMID32775222
PMCPMC7394768
OpenAlexW3043012601

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.