| Literature DB >> 33706207 |
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.Entities:
Keywords: COVID-19; India; Memory B cells; Neutralizing antibodies; Receptor binding domain; SARS-CoV-2
Mesh:
Substances:
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
COVID-19 recovered individuals characteristics (n = 42)a.
| Age in years Mean (Range) | 39.4 (15–70) |
| Males/Females | 38/4 |
| 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.
Fig. 1Evaluation 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.
| Subject number | Age | Gender (Male,M Female,F) | Days Post PCR Diagnosis | SARS CoV-2 RBD specific Immunoglobulin titers | SARS Cov-2 whole Virus specific IgG ELISA values | Neutralization titer (FRNT-mNG50) | ||
|---|---|---|---|---|---|---|---|---|
| IgG | IgM | IgA | ||||||
| 1 | 23 | M | 84 | 2220 | 565 | 220 | 26 | 39 |
| 2 | 22 | F | 84 | 354 | 283 | <100 | 3 | 26 |
| 3 | 68 | M | 40 | 464 | <100 | <100 | 19 | <20 |
| 4 | 35 | M | 51 | 4547 | 393 | 545 | 6 | 113 |
| 5 | 50 | M | 37 | 1354 | 301 | 275 | 7 | 81 |
| 6 | 29 | M | 34 | <100 | 866 | <100 | <1.5 | <20 |
| 7 | 27 | M | 34 | 422 | 104 | 450 | <1.5 | <20 |
| 8 | 25 | M | 34 | 222 | 1031 | <100 | 26 | <20 |
| 9 | 21 | M | 40 | 650 | 588 | 153 | 9 | 25 |
| 10 | 39 | M | 38 | 612 | 539 | 5686 | 12 | 23 |
| 11 | 46 | M | 38 | 2011 | 325 | 224 | 24 | 55 |
| 12 | 31 | M | 38 | 494 | 828 | 183 | 10 | <20 |
| 13 | 20 | M | 41 | 944 | 274 | <100 | 14 | 49 |
| 14 | 36 | M | 41 | 228 | 279 | 1614 | <1.5 | <20 |
| 15 | 34 | M | 44 | 282 | 302 | <100 | 4 | <20 |
| 16 | 70 | M | 44 | 1250 | 220 | 518 | 14 | 43 |
| 17 | 40 | M | 45 | 464 | 112 | 101 | 16 | <20 |
| 18 | 32 | M | 41 | 867 | 381 | 399 | <1.5 | <20 |
| 19 | 57 | M | 45 | 1069 | 354 | 231 | <1.5 | <20 |
| 20 | 27 | F | 49 | 1935 | 528 | <100 | 23 | 80 |
| 21 | 36 | M | 49 | 3156 | 355 | 593 | 28 | 166 |
| 22 | 24 | M | 45 | <100 | 387 | <100 | <1.5 | <20 |
| 23 | 55 | F | 45 | <100 | 778 | <100 | <1.5 | <20 |
| 24 | 15 | M | 45 | 212 | 496 | <100 | <1.5 | <20 |
| 25 | 49 | M | 45 | 4183 | 2958 | 397 | 17 | 657 |
| 26 | 26 | M | 48 | 2352 | <100 | <100 | 16 | 48 |
| 27 | 54 | F | 54 | 1202 | <100 | 182 | 15 | 49 |
| 28 | 53 | M | 52 | 799 | 197 | 417 | 12 | <20 |
| 29 | 52 | M | 48 | 2611 | 249 | 157 | 23 | 46 |
| 30 | 45 | M | 62 | 1490 | 401 | <100 | 15 | 50 |
| 31 | 52 | M | 56 | 10,127 | 421 | 437 | 21 | 434 |
| 32 | 26 | M | 47 | <100 | <100 | <100 | <1.5 | <20 |
| 33 | 32 | M | 57 | 701 | 177 | <100 | 14 | <20 |
| 34 | 44 | M | 49 | 815 | 428 | <100 | 20 | <20 |
| 35 | 32 | M | 40 | 829 | 140 | <100 | 6 | 29 |
| 36 | 44 | M | 42 | 4685 | 494 | 295 | 26 | 167 |
| 37 | 22 | M | 77 | 3954 | 764 | 690 | 24 | 209 |
| 38 | 49 | M | 25 | 24,484 | 2828 | 459 | 22 | 682 |
| 39 | 55 | M | 51 | 371 | 753 | <100 | 17 | <20 |
| 40 | 36 | M | 51 | 621 | 350 | 104 | 17 | <20 |
| 41 | 60 | M | 51 | 156 | 459 | <100 | 17 | 34 |
| 42 | 62 | M | 47 | 467 | 354 | <100 | 6 | <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. 2Correlation 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.
Fig. 3Evaluation 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.
Fig. 4Correlation 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.
Fig. 5Correlation 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.
Fig. 6SARS-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.