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Data Note
Revised

A dataset for the analysis of antibody response to glycan alpha-Gal in individuals with immune-mediated disorders

[version 2; peer review: 2 approved, 1 not approved]
PUBLISHED 25 May 2021
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OPEN PEER REVIEW
REVIEWER STATUS

This article is included in the Emerging Diseases and Outbreaks gateway.

This article is included in the Coronavirus (COVID-19) collection.

Abstract

Humans evolved by losing the capacity to synthesize the glycan Galα1-3Galβ1-(3)4GlcNAc-R (α-Gal), which resulted in the development of a protective response mediated by anti-α-Gal IgM/IgG/IgA antibodies against pathogens containing this modification on membrane proteins. As an evolutionary trade-off, humans can develop the alpha-Gal syndrome (AGS), a recently diagnosed disease mediated by anti-α-Gal IgE antibodies and associated with allergic reactions to mammalian meat consumption and tick bites. However, the anti-α-Gal antibody response may be associated with other immune-mediated disorders such as those occurring in patients with COVID-19 and Guillain-Barré syndrome (GBS). Here, we provide a dataset (209 entries) on the IgE/IgM/IgG/IgA anti-α-Gal antibody response in healthy individuals and patients diagnosed with AGS, tick-borne allergies, GBS and COVID-19. The data allows correlative analyses of the anti-α-Gal antibody response with factors such as patient and clinical characteristics, record of tick bites, blood group, age and sex. These analyses could provide insights into the role of anti-α-Gal antibody response in disease symptomatology and possible protective mechanisms.

Keywords

alpha Gal, immune response, antibody, allergy, tick, coronavirus, COVID-19, Guillain-Barré syndrome, alpha-Gal syndrome

Revised Amendments from Version 1

The paper was revised in response to reviewer comments by (a) adding information on BSA coated with α-Gal, (b) updating references, (c) adding new information to dataset validation, and (d) including the statement "For the validation of the ELISA with ImmunoCAP Phadia 250 automated platform (Thermo Fisher Scientific, Uppsala, Sweden) with the commercial ImmunoCap α-Gal bovine Thyroglobulin kit according to the manufacturer’s instructions please refer to Pacheco et al. (2021)"

See the authors' detailed response to the review by Jacques Le Pendu
See the authors' detailed response to the review by Tilo Biedermann

Introduction

The gene coding for α-1,3-galactosyltransferase (α1,3GT) was inactivated in old-world monkeys, an evolutionary adaptation that resulted in the production of high antibody titers against glycan Galα1-3Galβ1-(3)4GlcNAc-R (α-Gal) (Galili, 2015). Previous results showed that up to 1–5% of the circulating IgM/IgG found in healthy individuals are directed against α-Gal (Macher & Galili, 2008). Bacteria in the human gut microbiome express α1,3GT genes to produce α-Gal epitopes (Montassier et al., 2020), suggesting that natural anti-α-Gal antibodies are produced in response to gut microbiota (Bello-Gil et al., 2019; Galili et al., 1988; Mañez et al., 2001; Yilmaz et al., 2014). This evolutionary adaptation has been associated with the protective response of anti-α-Gal IgM/IgG antibodies against pathogens containing this modification on membrane proteins (Galili, 2019; Hodžić et al., 2020a). In contrast, the presence of α-Gal in tick salivary glycoproteins and glycolipids (Araujo et al., 2016; Cabezas-Cruz et al., 2018; Chinuki et al., 2016; Crispell et al., 2019) and tick cement (Villar et al., 2020) induces anti-α-Gal IgE antibodies that mediate delayed anaphylaxis to mammalian meat consumption and immediate anaphylaxis to tick bites, xenotransplantation and certain drugs such as cetuximab (Cabezas-Cruz et al., 2019; Commins et al., 2009; Contreras et al., 2020; de la Fuente et al., 2019a; de la Fuente et al., 2020; Fischer et al., 2016; Levin et al., 2019; Mateos-Hernández et al., 2017; Platts-Mills et al., 2020; Steinke et al., 2015; van Nunen et al., 2007).

Factors that may affect the antibody response to α-Gal include but are not limited to age, repeat consumption of certain food and meats of different origin or innards with higher α-Gal content, exposure to tick bites, ABO blood group, co-occurring disorders and exposure to cats and other pets (Cabezas-Cruz et al., 2017; Cabezas-Cruz et al., 2019; Commins, 2016; Commins et al., 2014; de la Fuente et al., 2020a; Fischer et al., 2014; Fischer et al., 2016; Morisset et al., 2012; Platts-Mills et al., 2020; Wölbing et al., 2013). Additionally, the anti-α-Gal-specific IgE response has been associated with other diseases such as atopy, coronary artery disease and atherosclerosis (Gonzalez-Quintela et al., 2014; Wilson et al., 2017; Wilson et al., 2019). Furthermore, α-Gal-mediated innate and adaptive immune response mechanisms have been associated with protection against pathogen infection in various animal models (Hodžić et al., 2020a). However, little is known about the influence of anti-α-Gal immune response on immune-mediated disorders such as those occurring in patients with COVID-19 and Guillain-Barré syndrome (GBS).

These results raise questions and hypothesis regarding the role of α-Gal-mediated immune responses in disease symptomatology and possible protective mechanisms (de la Fuente et al., 2019b; de la Fuente et al., 2020b; Pacheco et al., 2021; Urra et al., 2021). Consequently, to advance in addressing these questions and hypothesis, here we provide data on the IgE/IgM/IgG/IgA anti-α-Gal antibody response in healthy individuals and patients diagnosed with AGS, tick-borne allergies, GBS and COVID-19. These data contribute to correlative analyses of the anti-α-Gal antibody response with factors such as patient and clinical characteristics, record of tick bites, blood group, age and sex. These analyses could provide insights into the role of anti-α-Gal antibody response in disease symptomatology and protection against immune-mediated disorders.

Materials and methods

Essential methods used for the generation of the dataset (de la Fuente et al., 2020) were described in Urra et al. (2021) with additional information in Pacheco et al. (2021) and Doncel-Pérez et al. (2020).

Patients and healthy individuals

A retrospective case-control study was conducted in patients suffering from COVID-19 admitted to the University General Hospital of Ciudad Real (HGUCR), Spain from March 1 to April 15, 2020. The infection by SARS-CoV-2 was confirmed in all patients included in the study by the real-time reverse transcriptase-polymerase chain reaction (RT-PCR) assay from Abbott Laboratories (Abbott RealTime SARS-COV-2 assay, Abbott Park, Illinois, USA) from upper respiratory tract samples after hospital admission. Clinical features, as well as laboratory determinations were obtained from patient's medical records. The patients were grouped as hospital discharge, hospitalized and intensive care unit (Urra et al., 2021). Patients were hospitalized for developing a moderate-severe clinical condition with radiologically demonstrated pneumonia and failure in blood oxygen saturation. Patients with acute respiratory failure who needed mechanical ventilation support were admitted to a hospital ICU. The patients were discharged from the hospital due to the clinical and radiological improvement of pneumonia caused by the SARS-CoV-2, along with the normalization of analytical parameters indicative of inflammation, such as C-reactive protein (CRP), D-Dimer and blood cell count (Urra et al., 2021). Samples from asymptomatic COVID-19 cases with positive anti-SARS-CoV-2 IgG antibody titers but negative by RT-PCR were collected in May 22–29, 2020 and included in the dataset (Urra et al., 2021). Samples from healthy individuals (individuals without record of tick bites and allergic reactions) and patients diagnosed with tick-borne allergic reactions (AGS, anaphylaxis or urticaria) were collected prior to COVID-19 pandemic in April 2019 (Pacheco et al., 2021). The use of human peripheral blood serum samples from healthy individuals and patients diagnosed with tick-borne allergic reactions was done with their written informed consent in compliance with the Helsinki Declaration. Nursing personnel at the General University Hospital of Ciudad Real, Spain, extracted blood samples. Samples and data from patients with GBS included in this dataset were provided by the BioB-HVS, integrated into the Spanish National Biobanks Network. All samples were processed following standard operating procedures with the appropriate approval of the Ethical and Scientific Committees (Toledo Hospitable Complex 29012014-No17, University Hospital of Ciudad Real C-352 and SESCAM C-73).

Preparation of serum samples

For the preparation of serum samples, a sterile tube without anticoagulant was used to collect blood samples. The blood from each patient and the healthy individual was maintained in standing position at room temperature (RT) for clotting (20–30 min) and centrifuged at 1,500 × g for 20 min at RT. Serum was collected and conserved at -20°C until used for analysis.

Determination of antibody titers against α-Gal

For ELISA, high absorption capacity polystyrene microtiter plates were coated with 50 ng of BSA coated with α-Gal (Galα1-3Gal-BSA, 3 atom spacer, product code NGP0203, thereafter named α-Gal; Dextra, Shinfield, UK) per well in carbonate-bicarbonate buffer (Sigma-Aldrich, St. Louis, MO, USA). After an overnight incubation at 4°C, coated plates were washed one time with 100 µl/well PBS with 0.05% Tween 20 (PBST) (Sigma-Aldrich), blocked with 100 µl/well of 1% human serum albumin (HAS) in PBST (Sigma-Aldrich) for 1 h at RT and then washed four times with 100 µl/well of PBST. Human serum samples were diluted 1:100 in PBST with 1% HAS and 100 µl/well were added into the wells of the antigen-coated plates and incubated for 1 h at 37°C. Plates were washed four times with PBST and 100 µl/well of goat anti-human immunoglobulins-peroxidase IgG (FC specific) (Cat. No. I2136), IgM (µ-chain specific) (Cat. No. I1636), and IgE (ɛ-chain specific) (Cat. No. I6284) secondary antibodies (Sigma-Aldrich) diluted 1:1000, v/v in blocking solution were added and incubated for 1 h at RT. Plates were washed four times with 100 µl/well of PBST and 100 µl/well of 3,3,´5,5-tetramethylbenzidine TMB (Promega, Madison, WI, USA) were added and incubated for 20 min at RT. Finally, the reaction was stopped with 50 µl/well of 2 N H2SO4 and the O.D. was measured in a spectrophotometer at 450 nm. The average of two technical replicates per sample was used for analysis after background (coated wells incubated with PBS and secondary antibodies) subtraction.

Statistical analysis

Anti-α-Gal IgE, IgM and IgG antibody titers (O.D. at 450 nm values) were compared for each Ig by one-way ANOVA test (p < 0.05) (https://www.socscistatistics.com/tests/anova/default2.aspx) (Figure 1A and 1C). A Spearman Rho correlation analysis (p < 0.01; https://www.socscistatistics.com/tests/spearman/default2.aspx) was conducted between anti-α-Gal IgE, IgM and IgG antibody titers and age (Figure 1B).

72f3cdc0-95b7-487f-8936-364e77ef95b6_figure1.gif

Figure 1.

An example of the effect of certain factors such as (A) blood group, (B) age and (C) sex on the antibody response to α-Gal in healthy individuals. Anti-α-Gal IgE, IgM and IgG antibody titers were determined by ELISA. (A, C) The ELISA O.D. at 450 nm values were compared for each Ig by one-way ANOVA test (p < 0.05). (B) A Spearman Rho correlation analysis (p < 0.01) was conducted between anti-α-Gal IgE, IgM and IgG antibody titers and age. Correlation coefficient (R2) is shown. Please refer to Pacheco et al. (2021) for validation of the ELISA with ImmunoCAP Phadia 250 automated platform (Thermo Fisher Scientific, Uppsala, Sweden) with the commercial ImmunoCap α-Gal bovine Thyroglobulin kit according to the manufacturer’s instructions.

Dataset validation

The dataset (de la Fuente et al., 2020) was validated in studies reported by Urra et al. (2021), Pacheco et al. (2020) and Doncel-Pérez et al. (2020). A recent study correlated blood group with anti-α-Gal antibody response and SARS-CoV-2 infection (Hodžić et al., 2020b). Despite the presence of relatively high anti-α-Gal IgE levels in healthy individuals, factors such as tick bites or allergy correlate with higher IgE antibody titers against α-Gal (Pacheco et al., 2021). Additionally, a comparative analysis was conducted between the IgE+IgM+IgG antibody response to α-Gal and blood groups (Figure 1A), age (Figure 1B) and sex (Figure 1C) in healthy individuals (n = 75) to illustrate lower antibody titers in blood group B/AB individuals as previously reported (Cabezas-Cruz et al., 2017) but no differences regarding age and sex, which have been reported before as factors affecting the antibody response to α-Gal, infection and vaccination (Buonomano et al., 1999; Giefing-Kröll et al., 2015; Wang et al., 1995).

The main limitation of the dataset is sample size for some factors (i.e. age, sex or blood group), which were not disclosed by all individuals, and anti-α-Gal IgA antibody titers that could be considered in the analysis (Mateos-Hernández et al., 2020; Urra et al., 2021).

Data availability

Underlying data

Harvard Dataverse: A dataset for the analysis of antibody response to glycan alpha-Gal in individuals with immune-mediated disorders. https://doi.org/10.7910/DVN/RBU2VR (de la Fuente et al., 2020).

This dataset contains characteristics and serum antibody levels of the individuals included in the study and was used in analyses reported in publications by Urra et al. (2021), Pacheco et al. (2021) and Doncel-Pérez et al. (2020).

Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

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VERSION 2 PUBLISHED 24 Nov 2020
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de la Fuente J, Urra JM, Contreras M et al. A dataset for the analysis of antibody response to glycan alpha-Gal in individuals with immune-mediated disorders [version 2; peer review: 2 approved, 1 not approved]. F1000Research 2021, 9:1366 (https://doi.org/10.12688/f1000research.27495.2)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Open Peer Review

Current Reviewer Status: ?
Key to Reviewer Statuses VIEW
ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
Version 2
VERSION 2
PUBLISHED 25 May 2021
Revised
Views
5
Cite
Reviewer Report 12 Aug 2021
Mona Mahmoud, Parasitology and Animal Diseases Department, National Research Center, Giza, Egypt 
Approved
VIEWS 5
The article is scientifically sound. The data includes a dataset of anti-alphaGal IgM, IgG, and IgE levels in the serum of healthy people and patients, including COVID-19 patients, tick bite patients, and patients with Guillain-Barré syndrome. The rationale and methods ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Mahmoud M. Reviewer Report For: A dataset for the analysis of antibody response to glycan alpha-Gal in individuals with immune-mediated disorders [version 2; peer review: 2 approved, 1 not approved]. F1000Research 2021, 9:1366 (https://doi.org/10.5256/f1000research.57019.r91810)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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10
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Reviewer Report 20 Jul 2021
Tilo Biedermann, Department of Dermatology and Allergology, Technical University of Munich, Munich, Germany;  Clinical Unit Allergology, Hemholtz Zentrum Munchen, German Research Centre for Environmental Health, Neuherberg, Germany 
Not Approved
VIEWS 10
Response to 1
The presentation of the data set in Figure 1 is still not clear to me. What is the rational to sum up OD450 values of α-Gal IgM, IgG and IgE ELISAs? Since Figure 1 is an ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Biedermann T. Reviewer Report For: A dataset for the analysis of antibody response to glycan alpha-Gal in individuals with immune-mediated disorders [version 2; peer review: 2 approved, 1 not approved]. F1000Research 2021, 9:1366 (https://doi.org/10.5256/f1000research.57019.r86098)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 21 Jul 2021
    Jose de la Fuente, SaBio, Instituto de Investigación en Recursos Cinegéticos IREC, Ciudad Real, 13005, Spain
    21 Jul 2021
    Author Response
    We appreciate reviewer comments, but consider that the information addressing these comments was provided in the previous response and revised manuscript. Exposure to ticks is always a variable that is ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 21 Jul 2021
    Jose de la Fuente, SaBio, Instituto de Investigación en Recursos Cinegéticos IREC, Ciudad Real, 13005, Spain
    21 Jul 2021
    Author Response
    We appreciate reviewer comments, but consider that the information addressing these comments was provided in the previous response and revised manuscript. Exposure to ticks is always a variable that is ... Continue reading
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9
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Reviewer Report 26 May 2021
Jacques Le Pendu, CRCINA, Université de Nantes, Inserm, Nantes, France 
Approved
VIEWS 9
No further ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Le Pendu J. Reviewer Report For: A dataset for the analysis of antibody response to glycan alpha-Gal in individuals with immune-mediated disorders [version 2; peer review: 2 approved, 1 not approved]. F1000Research 2021, 9:1366 (https://doi.org/10.5256/f1000research.57019.r86099)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
Version 1
VERSION 1
PUBLISHED 24 Nov 2020
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22
Cite
Reviewer Report 18 May 2021
Tilo Biedermann, Department of Dermatology and Allergology, Technical University of Munich, Munich, Germany;  Clinical Unit Allergology, Hemholtz Zentrum Munchen, German Research Centre for Environmental Health, Neuherberg, Germany 
Not Approved
VIEWS 22
The data note presented by José de la Fuente and colleagues contains α-Gal specific antibody titers of IgE, IgM, IgG isotypes in the serum and, for some individuals, IgA isotype in saliva of healthy individuals as well as patients with ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Biedermann T. Reviewer Report For: A dataset for the analysis of antibody response to glycan alpha-Gal in individuals with immune-mediated disorders [version 2; peer review: 2 approved, 1 not approved]. F1000Research 2021, 9:1366 (https://doi.org/10.5256/f1000research.30388.r84326)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 19 May 2021
    Jose de la Fuente, SaBio, Instituto de Investigación en Recursos Cinegéticos IREC, Ciudad Real, 13005, Spain
    19 May 2021
    Author Response
    Thanks for your comments to our paper. In response to your comments:

    The data note presented by José de la Fuente and colleagues contains α-Gal specific antibody titers of ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 19 May 2021
    Jose de la Fuente, SaBio, Instituto de Investigación en Recursos Cinegéticos IREC, Ciudad Real, 13005, Spain
    19 May 2021
    Author Response
    Thanks for your comments to our paper. In response to your comments:

    The data note presented by José de la Fuente and colleagues contains α-Gal specific antibody titers of ... Continue reading
Views
30
Cite
Reviewer Report 04 Dec 2020
Jacques Le Pendu, CRCINA, Université de Nantes, Inserm, Nantes, France 
Approved
VIEWS 30
The data note presents a dataset of levels of anti-alphaGal IgM, IgG and IgE in the serum of healthy individuals and of patients, including COVID-19 patients, patients with tick bites and Guillain Barré syndrome patients. The rationale and methods are ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Le Pendu J. Reviewer Report For: A dataset for the analysis of antibody response to glycan alpha-Gal in individuals with immune-mediated disorders [version 2; peer review: 2 approved, 1 not approved]. F1000Research 2021, 9:1366 (https://doi.org/10.5256/f1000research.30388.r75352)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
COMMENTS ON THIS REPORT

Comments on this article Comments (0)

Version 2
VERSION 2 PUBLISHED 24 Nov 2020
Comment
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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