Literature DB >> 33706207

Characterization of neutralizing versus binding antibodies and memory B cells in COVID-19 recovered individuals from India.

Kaustuv Nayak1, Kamalvishnu Gottimukkala1, Sanjeev Kumar1, Elluri Seetharami Reddy2, Venkata Viswanadh Edara3, Robert Kauffman4, Katharine Floyd3, Grace Mantus4, Deepali Savargaonkar5, Pawan Kumar Goel6, Satyam Arora7, Manju Rahi8, Carl W Davis9, Susanne Linderman4, Jens Wrammert4, Mehul S Suthar3, Rafi Ahmed9, Amit Sharma10, Kaja Murali-Krishna11, Anmol Chandele12.   

Abstract

India is one of the most affected countries by COVID-19 pandemic; but little is understood regarding immune responses to SARS-CoV-2 in this region. Herein we examined SARS-CoV-2 neutralizing antibodies, IgG, IgM, IgA and memory B cells in COVID-19 recovered individual from India. While a vast majority of COVID-19 recovered individuals showed SARS-CoV-2 RBD-specific IgG, IgA and IgM antibodies (38/42, 90.47%; 21/42, 50%; 33/42, 78.57% respectively), only half of them had appreciable neutralizing antibody titers. RBD-specific IgG, but not IgA or IgM titers, correlated with neutralizing antibody titers and RBD-specific memory B cell frequencies. These findings have timely significance for identifying potential donors for plasma therapy using RBD-specific IgG assays as surrogate measurement for neutralizing antibodies in India. Further, this study provides useful information needed for designing large-scale studies towards understanding of inter-individual variation in immune memory to SARS CoV-2 natural infection for future vaccine evaluation and implementation efforts.
Copyright © 2021 Elsevier Inc. All rights reserved.

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Keywords:  COVID-19; India; Memory B cells; Neutralizing antibodies; Receptor binding domain; SARS-CoV-2

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Year:  2021        PMID: 33706207      PMCID: PMC7934698          DOI: 10.1016/j.virol.2021.02.002

Source DB:  PubMed          Journal:  Virology        ISSN: 0042-6822            Impact factor:   3.513


Introduction

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the virus responsible for the coronavirus disease 2019 (COVID-19) pandemic, emerged as a grave public health threat beginning in December 2019 (WHO, 2020), paralyzing daily lives and causing economic downturns in many parts of the world. Currently, India is one of the countries most affected with more than 10.6 million COVID-19 confirmed cases and 155,732 associated deaths as of February 16, 2021 (Ministry of Health and Family Welfare GoI, 2020). Intense efforts are underway to develop vaccines and antiviral therapeutics (Al-Kassmy et al., 2020; Amanat and Krammer, 2020; Dagotto et al., 2020; Hashemian et al., 2020; Li and Kang, 2020; Malik et al., 2020; Nabil et al., 2020; Parvathaneni and Gupta, 2020; Verma et al., 2020). All these efforts require a detailed understanding of immune correlates of protection, formation of immune memory, and durability of these responses. Additionally, infusion of plasma derived from COVID-19 recovered individuals is being explored as a management strategy (Bloch, 2020; Dhanasekaran et al., 2020; Duan et al., 2020; Focosi et al., 2020; Rabelo-da-Ponte et al., 2020; Salazar et al., 2020; Shen et al., 2020; Ye et al., 2020; Ju et al., 2020) and its rate of success will be augmented with a better understanding of humoral immunity, immunoglobulin isotype usage and neutralizing activity following recovery from SARS-CoV-2 infection. Moreover, given that many of the SARS-CoV-2 neutralizing epitopes are located in the viral receptor binding domain (RBD) of the spike (S) protein (Barnes et al., 2020; Cao et al., 2007; Lan et al., 2020; Liu et al., 2020a; Mittal et al., 2020; Peterhoff et al., 2020; Wang et al., 2020a; Zost et al., 2020a, 2020b), it is important to evaluate the relationship between RBD-specific IgG titers and neutralizing antibody responses in recovered individuals from India. In this study, we evaluated IgG, IgA, IgM, neutralizing antibodies and memory B cell responses in PCR-confirmed COVID-19 convalescent subjects. Our results show that while a vast majority (38/42, 90.47%) of COVID-19 recovered individuals developed SARS-CoV-2 RBD-specific IgG responses, we were able to detect appreciable levels of neutralizing antibody responses in only half of the convalescent subjects. Neutralizing responses correlated closely with RBD-specific IgG titers, but weakly with IgG titers measured against whole virus concentrate using a commercial Enzyme Linked Immunosorbant Assay (ELISA) kit. Taken together, these findings suggest that despite significant inter-individual variation in the RBD-specific IgG titers and neutralizing antibodies, RBD-specific IgG titers continue to serve as a valuable and robust surrogate measurement for neutralizing antibody responses. Our observations, that many individuals do not develop appreciable levels of neutralizing antibodies, not only provides a glimpse of humoral immune responses in COVID-19 recovered individuals from India, but also has timely implications for identifying potential plasma therapy donors using on RBD-specific IgG ELISA's in India where routine performance of neutralization assays remains a challenge.

Methods

Patient recruitment

COVID-19 recovered individuals were recruited at Shaheed Hasan Khan Mewati Government Medical College, Nuh, Haryana, India, Super Specialty Pediatric Hospital and Post Graduate Teaching Institute, Noida and ICMR-National Institute of Malaria Research, New Delhi. The Institutional ethical boards approved the study. Informed consent was obtained prior to inclusion in the study. All subjects (mean age 39.4 years, range 15–70 years) were SARS-CoV-2 PCR positive at the time of initial diagnosis, and were PCR negative when recruited for this study at 3.6–12 weeks post initial diagnosis (Table 1 ). Samples collected from healthy adult blood bank donors in the year 2018 are included as pre-pandemic controls.
Table 1

COVID-19 recovered individuals characteristics (n = 42)a.

Age in years Mean (Range)39.4 (15–70)
Males/Females38/4
Days post PCR diagnosis Mean (Range)47.3 (25–84)

COVID-19 recovered individuals were recruited at Shaheed Hasan Khan Mewati Government Medical College, Nuh, Haryana, India. Super Speciality Paediatric Hospital and Post Graduate Teaching Institute, Noida and ICMR-National Institute of Malaria Research, New Delhi. All subjects were SARS-CoV-2 PCR positive at the time of initial diagnosis and were PCR negative when recruited for this study at 4.8–11 weeks post initial diagnosis.

COVID-19 recovered individuals characteristics (n = 42)a. COVID-19 recovered individuals were recruited at Shaheed Hasan Khan Mewati Government Medical College, Nuh, Haryana, India. Super Speciality Paediatric Hospital and Post Graduate Teaching Institute, Noida and ICMR-National Institute of Malaria Research, New Delhi. All subjects were SARS-CoV-2 PCR positive at the time of initial diagnosis and were PCR negative when recruited for this study at 4.8–11 weeks post initial diagnosis.

SARS-CoV-2 specific PCR

Nasopharyngeal and throat swabs were collected in viral transport medium (VTM) (HiMedia, #AL 167)) and transported to the testing laboratory maintaining cold chain. All the samples were screened by qRT-PCR assay as the standard operating procedures established by Indian Council of Medical Research (ICMR)-National Institute of Virology (NIV), Pune, India under the Government of India guidelines for COVID-19 diagnosis. (ICMR-NIV, 2020).

SARS-CoV-2 RBD-specific direct ELISA

The recombinant SARS-CoV-2 RDB gene was cloned, expressed, purified and ELISAs were performed as previously described (Suthar et al., 2020). Briefly, purified RBD was coated on MaxiSorp plates (Thermo Fisher, #439454) at a concentration of 1 μg/mL in 100 μL phosphate-buffered saline (PBS) at 4 °C overnight. The plates were washed extensively with PBS containing 0.05% Tween-20. Three-fold serially diluted plasma was added to the plates and incubated at room temperature for 1hr. After incubation, the plates were washed and the SARS-CoV-2 RBD specific IgG, IgM, IgA signals were detected by incubating with horseradish peroxidase (HRP) conjugated - anti-human IgG (Jackson ImmunoResearch Labs, #109-036-098), IgM (Jackson ImmunoResearch Labs, #109-036-129), or IgA (Jackson ImmunoResearch Labs, #109-036-011). Plates were then washed thoroughly and developed with o-phenylenediamine (OPD) substrate (Sigma, #P8787) in 0.05 M phosphate-citrate buffer (Sigma, #P4809) pH 5.0, containing with 0.012% hydrogen peroxide (Fisher Scientific, #18755) just before use. Absorbance was measured at 490 nm.

Enumeration of SARS-CoV-2 RBD-specific memory B cells

Purified RBD protein (100 μg) was labeled with Alexa Fluor 488 using microscale protein labeling kit (Life Technologies, #A30006) as per manufacturer's protocol. PBMC's were stained with RBD-Alexa Fluor 488 for 1 h at 4 °C, followed by washing with PBS containing 0.25% Fetal Bovine Serum (FBS), and incubation with efluor780 Fixable Viability (Live Dead) dye (Life Technologies, #65-0865-14) and anti-human CD3, CD19, CD27, CD38 and IgD antibodies (BD Biosciences) for 30 min. Cells were washed twice with FACS buffer and acquired on BD LSR Fortessa X20. Data was analyzed using FlowJo software 10. SARS-CoV-2 RBD-specific memory B cells were identified in cells positive for CD19, CD20, CD27 that were negative for IgD and CD3.

IgG ELISA for SARS-CoV-2 whole virus preparation

SARS-CoV-2 antigen specific IgG was detected using a commercially available assay (COVID-Kavach ELISA tests kit, Zydus diagnostics), which measures responses to antigen concentrated from gamma-irradiated SARS-CoV-2-infected tissue culture fluid as per the manufacturer's instructions (Chaudhuri et al., 2020; Sapkal et al., 2020).

SARS-CoV-2 neutralization assay

Neutralization titers to SARS-CoV-2 were determined as previously described (Suthar et al., 2020). Briefly infectious clone of the full-length mNeonGreen SARS-CoV-2 (2019-nCoV/USA_WA1/2020) was used to test heat-inactivated COVID-19 convalescent samples and healthy donor samples (pre-pandemic). Heat-inactivated serum was serially diluted three-fold in duplicate starting at a 1:20 dilution in a 96-well round-bottom plate and incubated between 750 FFU of SARS-CoV-2-mNG for 1 h at 37 °C. This antibody-virus mixture was transferred into the wells of a 96-well plate that had been seeded with Vero-E6 cells the previous day at a concentration of 2.5 × 104 cells/well. After 1 h, the antibody-virus inoculum was removed and 0.85% methylcellulose in 2% FBS containing DMEM was overlaid onto the cell monolayer. Cells were incubated at 37 °C for 24 h. Cells were washed three times with 1XPBS (Corning Cellgro) and fixed with 125 μl of 2% paraformaldehyde in PBS (Electron Microscopy Sciences) for 30 min. Following fixation, plates were washed twice with 1x PBS and imaged on an ELISPOT reader (CTL Analyzer). Foci were counted using Viridot (Katzelnick et al., 2018) (counted first under the “green light” setting followed by background subtraction under the “red light” setting). FRNT-mNG50 titers were calculated by non-linear regression analysis using the 4 PL sigmoidal dose curve equation on Prism 8 (Graphpad Software). Neutralization titers were calculated as 100% x [1- (average foci in duplicate wells incubated with the specimen) ÷ (average number of foci in the duplicate wells incubated at the highest dilution of the respective specimen).

Statistical analysis

Statistical analysis was performed using GraphPad prism 8.0 software. Non-parametric t-test (Mann-Whitney) was used to calculate the differences between groups. Non-parametric Spearman's correlation coefficient (r) was used to calculate correlation between groups. A p value of ≤0.05 was considered as significant.

Results

SARS-CoV-2 RBD-specific humoral immunity in COVID-19 recovered individuals

The demographic profile of COVID-19 recovered individuals recruited for this study is shown in Table 1. All subjects were at least 3.6 weeks past their initial SARS-CoV-2 positive diagnosis. RBD-specific ELISA curves for IgG, IgA and IgM at different dilutions of plasma in pre-pandemic healthy versus COVID-19 recovered individuals is shown in Fig. 1 . RBD-specific responses were highly elevated in COVID-19 recovered individuals as compared to pre-pandemic healthy controls (Fig. 1A,B,C, left versus middle panels). Titers of IgG, IgA and IgM in the COVID-19 recovered individuals showed substantial inter-individual variation (Fig. 1 A, B, C, right panel) - with IgG endpoint titers ranging from below detection to 24,484 (2000 ± 619); IgA titers from below detection to 5686 (386 ± 136) and IgM titers from below detection to 2958 (515 ± 90). Four individuals had undetectable RBD-specific IgG and IgA titers. One of these individuals was also below detection for IgM ( Table 2 ). Inter-individual heterogeneity was not related to the age of the individuals (Fig. 2 A) or the number of days that elapsed between PCR confirmation of infection and sample collection (Fig. 2B).
Fig. 1

Evaluation of SARS-CoV-2 RBD specific IgG, IgA and IgM antibody responses. (A) RBD-specific IgG, (B), RBD-specific IgA; (C), RBD-specific IgM. Left, pre-pandemic healthy (n-22), middle COVID-19 recovered (n = 42); right, endpoint titers. ELISA cutoff values are calculated using the average plus 3 standard deviations of the 22 healthy controls at 1:100 dilution (shown as a dotted line). The unpaired analysis was done using non-parametric Mann-Whitney-U test. p ≤ 0.05 was considered significant. Assay cutoff value is marked with dotted line.

Table 2

Individual characteristics of the COVID-19 recovered subjects.

Subject numberAgeGender (Male,M Female,F)Days Post PCR DiagnosisSARS CoV-2 RBD specific Immunoglobulin titersa
SARS Cov-2 whole Virus specific IgG ELISA valuesbNeutralization titer (FRNT-mNG50)c
IgGIgMIgA
123M8422205652202639
222F84354283<100326
368M40464<100<10019<20
435M5145473935456113
550M371354301275781
629M34<100866<100<1.5<20
727M34422104450<1.5<20
825M342221031<10026<20
921M40650588153925
1039M3861253956861223
1146M3820113252242455
1231M3849482818310<20
1320M41944274<1001449
1436M412282791614<1.5<20
1534M44282302<1004<20
1670M4412502205181443
1740M4546411210116<20
1832M41867381399<1.5<20
1957M451069354231<1.5<20
2027F491935528<1002380
2136M49315635559328166
2224M45<100387<100<1.5<20
2355F45<100778<100<1.5<20
2415M45212496<100<1.5<20
2549M454183295839717657
2626M482352<100<1001648
2754F541202<1001821549
2853M5279919741712<20
2952M4826112491572346
3045M621490401<1001550
3152M5610,12742143721434
3226M47<100<100<100<1.5<20
3332M57701177<10014<20
3444M49815428<10020<20
3532M40829140<100629
3644M42468549429526167
3722M77395476469024209
3849M2524,484282845922682
3955M51371753<10017<20
4036M5162135010417<20
4160M51156459<1001734
4262M47467354<1006<20

ELISA end point titre limit of detection is 100.

ELISA was performed with a commercial kit (Covid Kavach, Zydus) using 1:100 dilution of plasma as per by the manufacturer's recommendation. Assay cut off is 1.5.

Neutralization titres: Neutralization assay were performed using 3 fold dilution of plasma, starting at 1:20 up to 1:43,740. Limit of detection for FRNT-mNG50 is 20.

Fig. 2

Correlation of age and day post initial diagnosis of COVID-19 recovered individuals with SARS-CoV-2 IgG, IgM and IgA titers. (A). Age versus IgG (left, n = 42), IgA (middle, n = 42) or IgM (right, n = 42) titers. (B). Time post initial diagnosis versus IgG (left, n = 42), IgA (middle, n = 42) or IgM (right, n = 42) titers. Correlations were calculated by Spearman's correlation coefficient r. p ≤ 0.05 is considered significant. Note that none of the data sets above reached significant values of correlation.

Evaluation of SARS-CoV-2 RBD specific IgG, IgA and IgM antibody responses. (A) RBD-specific IgG, (B), RBD-specific IgA; (C), RBD-specific IgM. Left, pre-pandemic healthy (n-22), middle COVID-19 recovered (n = 42); right, endpoint titers. ELISA cutoff values are calculated using the average plus 3 standard deviations of the 22 healthy controls at 1:100 dilution (shown as a dotted line). The unpaired analysis was done using non-parametric Mann-Whitney-U test. p ≤ 0.05 was considered significant. Assay cutoff value is marked with dotted line. Individual characteristics of the COVID-19 recovered subjects. ELISA end point titre limit of detection is 100. ELISA was performed with a commercial kit (Covid Kavach, Zydus) using 1:100 dilution of plasma as per by the manufacturer's recommendation. Assay cut off is 1.5. Neutralization titres: Neutralization assay were performed using 3 fold dilution of plasma, starting at 1:20 up to 1:43,740. Limit of detection for FRNT-mNG50 is 20. Correlation of age and day post initial diagnosis of COVID-19 recovered individuals with SARS-CoV-2 IgG, IgM and IgA titers. (A). Age versus IgG (left, n = 42), IgA (middle, n = 42) or IgM (right, n = 42) titers. (B). Time post initial diagnosis versus IgG (left, n = 42), IgA (middle, n = 42) or IgM (right, n = 42) titers. Correlations were calculated by Spearman's correlation coefficient r. p ≤ 0.05 is considered significant. Note that none of the data sets above reached significant values of correlation.

SARS-CoV-2 specific neutralizing titers in COVID-19 recovered individuals

To assess plasma neutralizing titers from COVID-19 convalescent individuals, we performed a live virus neutralization assay using a focus-reduction neutralization mNeonGreen (FRNT-mNG) assay (Suthar et al., 2020). The neutralizing activity at different dilutions of plasma for pre-pandemic healthy individuals (Fig. 3 A) and COVID-19 recovered individuals is shown in (Fig. 3B). Fig. 3C shows FRNT-mNG50 titers calculated based on the plasma dilution that neutralized 50% of the virus. While all pre-pandemic healthy individuals had undetectable FRNT-mNG50 titers, only half of the COVID-19 recovered individuals showed 50% or more neutralization even at a 1:20 dilution of plasma. Similar to RBD-specific IgG titers, the FRNT-mNG50 titers were heterogeneous with the latter reaching titers as high as 682 ( Fig. 3C).
Fig. 3

Evaluation of SARS-CoV-2 neutralizing antibodies in COVID-19 recovered individuals. SARS-CoV-2 neutralizing activity at indicated dilutions of plasma is shown in pre-pandemic healthy (n = 22, in grey) (A) and in COVID-19 recovered individuals (n = 42, in blue) (B). Dotted line represents the plasma dilution that leads to 50% neutralization. (C) Scatter plot shows neutralization titers (FRNT-mNG50) in pre-pandemic healthy (n = 22) and COVID-19 recovered (n = 42) individuals. The unpaired analysis was done using non-parametric Mann-Whitney-U test. p ≤ 0.05 was considered significant. Limit of detection is marked with a dotted line.

Evaluation of SARS-CoV-2 neutralizing antibodies in COVID-19 recovered individuals. SARS-CoV-2 neutralizing activity at indicated dilutions of plasma is shown in pre-pandemic healthy (n = 22, in grey) (A) and in COVID-19 recovered individuals (n = 42, in blue) (B). Dotted line represents the plasma dilution that leads to 50% neutralization. (C) Scatter plot shows neutralization titers (FRNT-mNG50) in pre-pandemic healthy (n = 22) and COVID-19 recovered (n = 42) individuals. The unpaired analysis was done using non-parametric Mann-Whitney-U test. p ≤ 0.05 was considered significant. Limit of detection is marked with a dotted line. Previous studies in other viral infections have shown that all three antibody isotypes (IgG, IgA and IgM) can potentially neutralize (Chua et al., 2017; Ejemel et al., 2020; Lizeng et al., 2004; Skountzou et al., 2014; Sterlin et al., 2020). We next determined if any correlation exists between SARS-CoV-2 neutralizing titers and RBD-specific IgG, IgA, IgM binding antibody titers. We observed a positive correlation (r = 0.83; p < 0.001) between SARS-CoV-2 neutralizing titers and RBD-specific IgG titers (Fig. 4 , left graph) but not with IgA ( Fig. 4 , middle graph) or IgM titers (Fig. 4 , right graph).
Fig. 4

Correlation analysis shows FRNT-mNG50 titers (x-axis) versus RBD-specific IgG (Left), IgA (middle) and IgM (right) titers on y-axis in COVID-19 recovered individuals (n = 42, blue dots). Correlation analysis was performed by log transformation of the endpoint ELISA titers followed by linear regression analysis. Dotted line on x-axis and y-axis indicate limit of detection. Correlations were calculated by Spearman's correlation coefficient r. p ≤ 0.05 was considered significant and indicated in the figure.

Correlation analysis shows FRNT-mNG50 titers (x-axis) versus RBD-specific IgG (Left), IgA (middle) and IgM (right) titers on y-axis in COVID-19 recovered individuals (n = 42, blue dots). Correlation analysis was performed by log transformation of the endpoint ELISA titers followed by linear regression analysis. Dotted line on x-axis and y-axis indicate limit of detection. Correlations were calculated by Spearman's correlation coefficient r. p ≤ 0.05 was considered significant and indicated in the figure. Plasma infusion therapy has recently been started in India as an intervention therapy for COVID-19. For this, plasma donors are being typically identified by the presence of IgG to SARS-CoV-2 by commercial ELISA tests (cdsco.gov.in, 2020). One of these tests detects IgG towards viral antigens concentrated from gamma-irradiated SARS-CoV-2-infected tissue culture fluid (Chaudhuri et al., 2020; Sapkal et al., 2020). It was therefore of interest to examine the correlation between neutralization titers and IgG responses measured using this test. We observed that, of the 42 COVID-19 recovered individuals tested, 33 were IgG positive whereas 9 were below the assay cut off (Fig. 5 A). Of the 9 individuals that were below cut off, 4 also tested negative by the RBD-specific IgG ELISA (Table 2). All of the samples from the pre-pandemic healthy individuals were below the limit of detection. As expected, the IgG values obtained by whole virus-based ELISA did not show as robust a correlation (r = 0.56) with neutralizing antibody titers (Fig. 5B) as compared to those observed with RBD-specific IgG titers (r = 0.83) (Fig. 4 , left graph).
Fig. 5

Correlation analysis of SARS-CoV-2 whole virus specific IgG versus neutralizing titers. (A). Scatter plots shows SARS-CoV-2 whole virus specific IgG measured using measured using commercial kit (Zydus diagnosis, Covid Kavach) in pre-pandemic healthy (n = 5) and COVID-19 recovered (n = 42). The unpaired analysis was done using non-parametric Mann-Whitney-U test. p ≤ 0.05 was considered significant. (B). Correlation analysis of SARS-CoV-2 whole virus antigen specific IgG ELISA kit values (y-axis) versus neutralizing titers (x-axis) in COVID-19 recovered individuals (n = 42). Correlations were calculated by Spearman's correlation coefficient r. p ≤ 0.05 was considered significant. Dotted line on x-axis indicate limit of detection and on y-axis assay cut off.

Correlation analysis of SARS-CoV-2 whole virus specific IgG versus neutralizing titers. (A). Scatter plots shows SARS-CoV-2 whole virus specific IgG measured using measured using commercial kit (Zydus diagnosis, Covid Kavach) in pre-pandemic healthy (n = 5) and COVID-19 recovered (n = 42). The unpaired analysis was done using non-parametric Mann-Whitney-U test. p ≤ 0.05 was considered significant. (B). Correlation analysis of SARS-CoV-2 whole virus antigen specific IgG ELISA kit values (y-axis) versus neutralizing titers (x-axis) in COVID-19 recovered individuals (n = 42). Correlations were calculated by Spearman's correlation coefficient r. p ≤ 0.05 was considered significant. Dotted line on x-axis indicate limit of detection and on y-axis assay cut off.

Characterization of RBD-specific memory B cells in COVID-19 recovered individuals

While circulating neutralizing antibodies help prevent re-infection by viruses, memory B cells allow for rapid production of new antibodies in case of re-infection. To address whether the COVID-19 recovered individuals generated memory B cells, we enumerated RBD-specific memory B cells using fluorescently conjugated RBD antigen. An example of the flow cytometric gating strategy and RBD staining among the gated memory B cells is shown in Fig. 6 A and B. Fig. 6C shows the frequency of RBD-specific memory B cells in a subset of the individuals where sufficient PBMCs were available. Though we found that there was substantial inter-individual variation in the frequency of SARS-CoV-2 RBD-specific memory B cells, their frequencies modestly correlated with RBD-specific IgG titers.
Fig. 6

SARS-CoV-2 RBD-specific memory B cell analysis in COVID-19 recovered individuals. (A) Gating strategy used to identify memory B cells. (B) SARS-CoV-2 RBD-specific memory B cells on gated total memory B cells that were CD19 positive, CD20 high, IgD negative and CD27 high is shown. (C) Frequency of RBD-specific memory B cells of the total memory B cells in the COVID-19 recovered individuals (n = 13). (D) Correlation analysis shows frequency of RBD-specific memory B cells (x-axis) and the RBD-specific IgG titers (y-axis) in COVID-19 recovered individuals.

SARS-CoV-2 RBD-specific memory B cell analysis in COVID-19 recovered individuals. (A) Gating strategy used to identify memory B cells. (B) SARS-CoV-2 RBD-specific memory B cells on gated total memory B cells that were CD19 positive, CD20 high, IgD negative and CD27 high is shown. (C) Frequency of RBD-specific memory B cells of the total memory B cells in the COVID-19 recovered individuals (n = 13). (D) Correlation analysis shows frequency of RBD-specific memory B cells (x-axis) and the RBD-specific IgG titers (y-axis) in COVID-19 recovered individuals.

Discussion

Our study provides a succinct analysis of humoral immunity and memory B cells in COVID-19 recovered individuals from India. We examined SARS-CoV-2 neutralizing antibodies, IgG, IgM, IgA and memory B cells in pre-pandemic healthy versus COVID-19 recovered individuals and further evaluated inter-individual variation and relation among these. Our correlative analysis of RBD-specific IgG binding titers with neutralizing antibody titers and memory B cells corroborates with other studies (Abe et al., 2020; Vaisman-Mentesh et al., 2020; Nguyen-Contant et al., 2020; Tan et al., 2020; Wang et al., 2020b) and has important implications for not only identifying potential donors for plasma therapy but also for understanding humoral and cellular memory formed post COVID-19 recovery from individuals in India. Though current plasma therapy guidelines in India do not consider neutralizing antibody titers, United States Food and Drug Administration (FDA) guidelines recommend, when available, a neutralizing titer of 1:160 or 1:80 to be used for identifying potential plasma donors (FDA, 2020). Our correlation analysis shows that RBD-specific titers of more than 3668 can provide a suitable surrogate for identifying the individuals with neutralizing titers of above 1:160 and RBD-specific IgG titers 1926 for neutralizing titers of 1:80. Recently, in a randomized control trial, 235 COVID-19 patients across 39 clinical sites across India received convalescent plasma therapy to access the role of convalescent plasma in management of COVID-19 (Agarwal et al., 2020). This study did not find any association of reduction in progression to severe COVID-19 or mortality with administration of convalescent plasma. However, neutralizing antibody responses or RBD IgG responses were not tested in donor plasma. It is also unclear whether the timing of plasma therapy coincided with presence of the virus – both which has been demonstrated to be critical to reap clinical benefits of convalescent plasma therapy (Donato et al., 2021; Ray et al., 2020). Our study raises important questions on formation of protective immune memory after recovering from COVID-19. Consistent with a previous study (Kalkan Yazici et al., 2020), we found that nearly half of the COVID-19 recovered individuals did not induce 50% neutralizing titers even at 1:20 dilution of plasma. This raises the question of whether these individuals with low neutralizing antibodies also differ in formation of cellular immune memory. Our data show that individuals with low neutralizing antibodies indeed had lower memory B cells. Given that T cells may also contribute to COVID-19 protection, studies are needed to understand whether these individuals may also differ in the generation of memory CD8 and CD4 T cells (Chen and John Wherry, 2020; Grifoni et al., 2020; Jesenak et al., 2020). The reason why only half of the COVID-19 recovered individuals developed appreciable levels of neutralizing antibody titers requires further investigation. This may be related to inter-individual differences in human immune responses associated with the expected heterogeneity in initial viral inoculum (Welten et al., 2016), initial viral loads (Akondy et al., 2015; Arankalle et al., 2010; Reddy et al., 2014), incubation period (Hermesh et al., 2010), host genetic factors (Carter-Timofte et al., 2020; Hou et al., 2020; LoPresti et al., 2020) and disease severity (Seow et al., 2020; Kong et al., 2020; Liu et al., 2020b). This is consistent with previous studies that show relatively higher neutralizing antibodies in COVID-19 hospitalized patients during the acute febrile phase, or in recovered individuals that were previously hospitalized with severe COVID-19 disease (Kong et al., 2020; Liu et al., 2020b). It is noteworthy that the COVID-19 recovered individuals from our study had mild to moderate symptoms during the initial diagnosis and thus our study cannot substantiate whether a higher proportion of individuals may have shown appreciable neutralizing titers if they had more severe symptoms during the acute stage. In light of these studies, our findings warrant future studies to seek an understanding of whether the individuals that have generated low or no neutralizing antibodies, IgG titers or memory B cells past recovery will be protected if they were re-exposed to SARS-CoV-2 or a related virus.

Author contributions

Experimental work, data acquisition and analysis of data by K.N, K.G, S.K, E.S.R, V.V.E., K.F, R.K, S.L. C. D, J.W, M.S.S, and D.S. Clinical site coordination by D. S, P.K.G, S.A, A.S and M.R. Conceptualization and implementation by A.S, R.A, K.M, A.C. Manuscript writing by A.C and K.M. All authors contributed reviewing and editing the manuscript.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
  57 in total

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Journal:  J Med Virol       Date:  2014-02-13       Impact factor: 2.327

4.  A SARS-CoV-2 surrogate virus neutralization test based on antibody-mediated blockage of ACE2-spike protein-protein interaction.

Authors:  Chee Wah Tan; Wan Ni Chia; Xijian Qin; Pei Liu; Mark I-C Chen; Charles Tiu; Zhiliang Hu; Vivian Chih-Wei Chen; Barnaby E Young; Wan Rong Sia; Yee-Joo Tan; Randy Foo; Yongxiang Yi; David C Lye; Danielle E Anderson; Lin-Fa Wang
Journal:  Nat Biotechnol       Date:  2020-07-23       Impact factor: 54.908

5.  Potent neutralizing antibodies against multiple epitopes on SARS-CoV-2 spike.

Authors:  Lihong Liu; Pengfei Wang; Manoj S Nair; Jian Yu; Micah Rapp; Qian Wang; Yang Luo; Jasper F-W Chan; Vincent Sahi; Amir Figueroa; Xinzheng V Guo; Gabriele Cerutti; Jude Bimela; Jason Gorman; Tongqing Zhou; Zhiwei Chen; Kwok-Yung Yuen; Peter D Kwong; Joseph G Sodroski; Michael T Yin; Zizhang Sheng; Yaoxing Huang; Lawrence Shapiro; David D Ho
Journal:  Nature       Date:  2020-07-22       Impact factor: 49.962

6.  Buying time-the immune system determinants of the incubation period to respiratory viruses.

Authors:  Tamar Hermesh; Bruno Moltedo; Carolina B López; Thomas M Moran
Journal:  Viruses       Date:  2010-11-18       Impact factor: 5.048

Review 7.  COVID-19 pandemic: Insights into structure, function, and hACE2 receptor recognition by SARS-CoV-2.

Authors:  Anshumali Mittal; Kavyashree Manjunath; Rajesh Kumar Ranjan; Sandeep Kaushik; Sujeet Kumar; Vikash Verma
Journal:  PLoS Pathog       Date:  2020-08-21       Impact factor: 6.823

8.  Rapid Generation of Neutralizing Antibody Responses in COVID-19 Patients.

Authors:  Mehul S Suthar; Matthew G Zimmerman; Robert C Kauffman; Grace Mantus; Susanne L Linderman; William H Hudson; Abigail Vanderheiden; Lindsay Nyhoff; Carl W Davis; Oluwaseyi Adekunle; Maurizio Affer; Melanie Sherman; Stacian Reynolds; Hans P Verkerke; David N Alter; Jeannette Guarner; Janetta Bryksin; Michael C Horwath; Connie M Arthur; Natia Saakadze; Geoffrey H Smith; Srilatha Edupuganti; Erin M Scherer; Kieffer Hellmeister; Andrew Cheng; Juliet A Morales; Andrew S Neish; Sean R Stowell; Filipp Frank; Eric Ortlund; Evan J Anderson; Vineet D Menachery; Nadine Rouphael; Aneesh K Mehta; David S Stephens; Rafi Ahmed; John D Roback; Jens Wrammert
Journal:  Cell Rep Med       Date:  2020-06-08

9.  Viridot: An automated virus plaque (immunofocus) counter for the measurement of serological neutralizing responses with application to dengue virus.

Authors:  Leah C Katzelnick; Ana Coello Escoto; Benjamin D McElvany; Christian Chávez; Henrik Salje; Wensheng Luo; Isabel Rodriguez-Barraquer; Richard Jarman; Anna P Durbin; Sean A Diehl; Derek J Smith; Stephen S Whitehead; Derek A T Cummings
Journal:  PLoS Negl Trop Dis       Date:  2018-10-24

10.  Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals.

Authors:  Alba Grifoni; Daniela Weiskopf; Sydney I Ramirez; Jose Mateus; Jennifer M Dan; Carolyn Rydyznski Moderbacher; Stephen A Rawlings; Aaron Sutherland; Lakshmanane Premkumar; Ramesh S Jadi; Daniel Marrama; Aravinda M de Silva; April Frazier; Aaron F Carlin; Jason A Greenbaum; Bjoern Peters; Florian Krammer; Davey M Smith; Shane Crotty; Alessandro Sette
Journal:  Cell       Date:  2020-05-20       Impact factor: 66.850

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  12 in total

1.  Homogeneous surrogate virus neutralization assay to rapidly assess neutralization activity of anti-SARS-CoV-2 antibodies.

Authors:  Sun Jin Kim; Zhong Yao; Morgan C Marsh; Debra M Eckert; Michael S Kay; Anna Lyakisheva; Maria Pasic; Aiyush Bansal; Chaim Birnboim; Prabhat Jha; Yannick Galipeau; Marc-André Langlois; Julio C Delgado; Marc G Elgort; Robert A Campbell; Elizabeth A Middleton; Igor Stagljar; Shawn C Owen
Journal:  Nat Commun       Date:  2022-07-01       Impact factor: 17.694

2.  A Qualitative Comparison of the Abbott SARS-CoV-2 IgG II Quant Assay against Commonly Used Canadian SARS-CoV-2 Enzyme Immunoassays in Blood Donor Retention Specimens, April 2020 to March 2021.

Authors:  Kento T Abe; Bhavisha Rathod; Karen Colwill; Anne-Claude Gingras; Ashleigh Tuite; Ninette F Robbins; Guillermo Orjuela; Craig Jenkins; Valerie Conrod; Qi-Long Yi; Sheila F O'Brien; Steven J Drews
Journal:  Microbiol Spectr       Date:  2022-06-02

3.  Passive Immunity Trial for Our Nation (PassITON): study protocol for a randomized placebo-control clinical trial evaluating COVID-19 convalescent plasma in hospitalized adults.

Authors:  Wesley H Self; Thomas G Stewart; Allison P Wheeler; Wissam El Atrouni; Amanda J Bistran-Hall; Jonathan D Casey; Vince D Cataldo; James D Chappell; Claudia S Cohn; Jessica B Collins; Mark R Denison; Marjolein de Wit; Sheri L Dixon; Abhijit Duggal; Terri L Edwards; Magali J Fontaine; Adit A Ginde; Michelle S Harkins; Thelma Harrington; Estelle S Harris; Daanish Hoda; Tina S Ipe; Stuti J Jaiswal; Nicholas J Johnson; Alan E Jones; Maryrose Laguio-Vila; Christopher J Lindsell; Jason Mallada; Manoj J Mammen; Ryan A Metcalf; Elizabeth A Middleton; Simon Mucha; Hollis R O'Neal; Sonal R Pannu; Jill M Pulley; Xian Qiao; Jay S Raval; Jillian P Rhoads; Harry Schrager; Carl Shanholtz; Nathan I Shapiro; Stephen J Schrantz; Isaac Thomsen; Krista K Vermillion; Gordon R Bernard; Todd W Rice
Journal:  Trials       Date:  2021-03-20       Impact factor: 2.279

4.  Humoral immune response to COVID-19 mRNA vaccine in patients with multiple sclerosis treated with high-efficacy disease-modifying therapies.

Authors:  Anat Achiron; Mathilda Mandel; Sapir Dreyer-Alster; Gil Harari; David Magalashvili; Polina Sonis; Mark Dolev; Shay Menascu; Shlomo Flechter; Rina Falb; Michael Gurevich
Journal:  Ther Adv Neurol Disord       Date:  2021-04-22       Impact factor: 6.570

5.  Passive Immunity Trial for Our Nation (PassITON): study protocol for a randomized placebo-control clinical trial evaluating COVID-19 convalescent plasma in hospitalized adults.

Authors:  Wesley H Self; Thomas G Stewart; Allison P Wheeler; Wissam El Atrouni; Amanda J Bistran-Hall; Jonathan D Casey; Vince D Cataldo; James D Chappell; Claudia S Cohn; Jessica B Collins; Mark R Denison; Marjolein de Wit; Sheri L Dixon; Abhijit Duggal; Terri L Edwards; Magali J Fontaine; Adit A Ginde; Michelle S Harkins; Thelma Harrington; Estelle S Harris; Daanish Hoda; Tina S Ipe; Stuti J Jaiswal; Nicholas J Johnson; Alan E Jones; Maryrose Laguio-Vila; Christopher J Lindsell; Jason Mallada; Manoj J Mammen; Ryan A Metcalf; Elizabeth A Middleton; Simon Mucha; Hollis R O'Neal; Sonal R Pannu; Jill M Pulley; Xian Qiao; Jay S Raval; Jillian P Rhoads; Harry Schrager; Carl Shanholtz; Nathan I Shapiro; Stephen J Schrantz; Isaac Thomsen; Krista K Vermillion; Gordon R Bernard; Todd W Rice
Journal:  Res Sq       Date:  2021-03-02

6.  SARS-COV-2 antibody dynamics and B-cell memory response over-time in COVID-19 convalescent subjects.

Authors:  Anat Achiron; Michael Gurevich; Rina Falb; Sapir Dreyer-Alster; Polina Sonis; Mathilda Mandel
Journal:  Clin Microbiol Infect       Date:  2021-05-08       Impact factor: 8.067

7.  Fast and Accurate Surrogate Virus Neutralization Test Based on Antibody-Mediated Blocking of the Interaction of ACE2 and SARS-CoV-2 Spike Protein RBD.

Authors:  Denis E Kolesov; Maria V Sinegubova; Lutsia K Dayanova; Inna V Dolzhikova; Ivan I Vorobiev; Nadezhda A Orlova
Journal:  Diagnostics (Basel)       Date:  2022-02-03

8.  Early and strong antibody responses to SARS-CoV-2 predict disease severity in COVID-19 patients.

Authors:  Jānis Plūme; Artis Galvanovskis; Sindija Šmite; Nadezhda Romanchikova; Pawel Zayakin; Aija Linē
Journal:  J Transl Med       Date:  2022-04-15       Impact factor: 8.440

9.  IMMUNO-COV v2.0: Development and Validation of a High-Throughput Clinical Assay for Measuring SARS-CoV-2-Neutralizing Antibody Titers.

Authors:  Rianna Vandergaast; Timothy Carey; Samantha Reiter; Chase Lathrum; Patrycja Lech; Clement Gnanadurai; Michelle Haselton; Jason Buehler; Riya Narjari; Luke Schnebeck; Anne Roesler; Kara Sevola; Lukkana Suksanpaisan; Alice Bexon; Shruthi Naik; Bethany Brunton; Scott C Weaver; Grace Rafael; Sheryl Tran; Alina Baum; Christos A Kyratsous; Kah Whye Peng; Stephen J Russell
Journal:  mSphere       Date:  2021-06-02       Impact factor: 4.389

10.  Function Is More Reliable than Quantity to Follow Up the Humoral Response to the Receptor-Binding Domain of SARS-CoV-2-Spike Protein after Natural Infection or COVID-19 Vaccination.

Authors:  Carlos A A Sariol; Petraleigh Pantoja; Crisanta Serrano-Collazo; Tiffany Rosa-Arocho; Albersy Armina-Rodríguez; Lorna Cruz; E Taylor Taylor Stone; Teresa Arana; Consuelo Climent; Gerardo Latoni; Dianne Atehortua; Christina Pabon-Carrero; Amelia K K Pinto; James D D Brien; Ana M M Espino
Journal:  Viruses       Date:  2021-09-30       Impact factor: 5.048

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