Literature DB >> 32818490

Clinical performances of an ELISA for SARS-CoV-2 antibody assay and correlation with neutralization activity.

Andrea Padoan1, Silvia Zuin1, Chiara Cosma1, Daniela Basso1, Mario Plebani2, Francesco Bonfante3.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32818490      PMCID: PMC7431325          DOI: 10.1016/j.cca.2020.08.024

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


× No keyword cloud information.
To the Editor, The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and first described in December 2019 in Wuhan, continues to spread globally. In European countries and UK, the 14-day case notification rate was reported to be 21.5 (country range: 2.2–209.5) per 100,000 population on August 2nd, with an increasing trend with respect to July 19th [1]. These results, demonstrated that, despite the surveillance programs for containing viral spread [2], a stationary transmission of SARS-CoV-2 among individual, both within and between European countries, is still active. There documented raising trend in viral spread, however, calls for an improvement of efficacy of these programs, to isolate infected individuals quickly, especially for high risk groups that should be not only promptly identified but also monitored by enhanced comprehensive or sentinel surveillance. In this scenario, serology testing for SARS-CoV-2 has been recommended for the rapid triage of symptomatic individuals in community settings, for testing all contacts of people with confirmed infection and for testing the viral spread in sentinel sites [3]. Further important roles of SARS-CoV-2 immunoassays are in understanding the virus epidemiology in the general population, and in identifying the disease prevalence in categories at higher risk of infection (e.g. healthcare workers) [4]. To accomplish these purposes, robust, reliable and accurate results are required from commercial immunoassays measuring serum antibody levels. Here we describe the clinical performances of an ELISA (Novalisa NovaTec Immunodiagnostica, Dietzenbach, Germany) for the detection of SARS-CoV-2 IgA, IgM and IgG and the comparison of results with the neutralization activity. According to the manufacturer’s claims, which we have verified, repeatability and intermediate precision of these assays vary between 4.8% and 10.6% for IgA, 2.7% and 11.9% for IgM, and 4.1% and 8.7% for IgG, in results ranging from 0.2 to 20 Novatec units (NTU). A total of 171 leftover serum samples from 41 SARS-CoV-2 negative subjects (20 healthcare workers, 13 autoimmune patients, 8 pregnant women) and 130 COVID-19 patients (9 asymptomatic/mildly symptomatic recovered at home with supportive care and isolation, and 121 hospitalized, classified with moderate or severe disease following WHO interim guidance [5]) were included in the study. All subjects underwent nasopharyngeal swab testing, analyzed by rRT-PCR as described elsewhere [6]. Healthcare workers were considered negative on the basis of at least three negative sequential rRT-PCR results obtained between February 26th and May 29th, 2020. For patients, the mean time interval from symptoms onset and the serological determinations was 24.6 days (SD ± 18.5; range 4–89 days). Among SARS-CoV-2 positive patients, in a subset of 52 samples plaque reduction neutralization test (PRNT) was also performed. In this assay, neutralization titer was defined as reciprocal of the highest dilution resulting in a reduction of the control plaque count > 50% (PRNT50). Stata v16.1 (StataCorp, LakeWay Drive, TX) was used for the statistical analyses. The study protocol (number 23307) was approved by the Ethics Committee of the University-Hospital of Padova (Padova, Italy). Considering the entire time frame (overall data), the diagnostic performances calculated by the area under the receiver operating characteristics curve (AUC) were 0.943 (95%CI: 0.910–0.976) for IgA, 0.856 (95%CI: 0.800–0.912) for IgM and 0.934 (95%CI: 0.899–0.970) for IgG. Performances (AUC) significantly differed for IgM with respect to IgA (χ2 = 9.52, p = 0.002) and IgG (χ2 = 6.92, p = 0.008). Diagnostic sensitivity and specificity, reported in Table 1 , were assessed considering overall data or two different periods (<12 days and ≥12 days) and calculated using both the manufacturer threshold (11 NTU) and the best cutoff, derived from Youden index. Findings from overall data showed that IgG outperformed IgA and IgM. Instead, specificities were elevated for all assays and, in particular, for IgA and IgG the upper 95% confidence limits were equal or above 99.9%. Marked differences in performances were obtained for the two time-frames. As expected, when the time frame <12 days was considered, the diagnostic sensitivity of the three assays was very limited and the best performances were found for IgA with a sensitivity equal to 65%, thus confirming our previously reported findings, as in most patients increased antibody levels should be detected only after 6–7 days post symptom onset (PSO) [7], [8], [9]. Considering samples collected ≥12 days after symptom onset, sensitivities were significantly higher, being IgG values above 90%. After cutoff optimization, a relevant improvement was achieved in both time-frame, especially for IgA and IgM. Positive and negative likelihood ratios were also calculated, and the best results were found for IgG. In addition, we have evaluate the neutralizing activity against SARS-CoV-2 as it is considered the gold standard for assessing the immune response. Results for neutralization PRNT50 values were reported in Supplementary Fig. 1. The highest correlation was found with IgM (rho = 0.582; p < 0.001), followed by IgG (rho = 0.573; p < 0.001) and IgA (rho = 0.480; p < 0.001). These results confirm previously published data by our group and by Perera et al., who reported a significant correlation between PRNT50 and IgM ELISA results [10], [11].
Table 1

Clinical performances of Novalisa SARS-CoV-2 (COVID-19) IgA, IgM and IgG, obtained using as thresholds the value 11 NovaTec units (NTU) (claimed by manufacture’s inserts COVA940_20200416_EH, COVM0940_20200416_EH and COVG0940_20200416_EH) and the best cut-off defined by Youden index (obtained with the Overall data).

AssayThresholdTime-frameSensitivity§ (95%CI)Specificity§ (95%CI)PLR (95%CI)NLR (95%CI)
SARS-CoV-2 IgA11 NTU<12 d44.8 (26.4–64.3)100.0 (91.6–100.0)38.7 (2.4–626.2)0.56 (0.40–0.77)
≥12 d75.7 (66.3–83.6)64.9 (4.1–1023.4)0.25 (0.18–0.35)
Overall69.0 (60.3–76.8)59.2 (3.7–933.7)0.32 (0.24–0.41)
6 NTU<12 d65.5 (45.7–82.1)97.6 (87.4–99.9)27.5 (3.9–194.3)0.35 (0.21–0.58)
≥ 12 d84.5 (76.0–90.9)35.5 (5.1–246.4)0.16 (0.10–0.25)
Overall80.6 (72.7–87.0)33.9 (4.9–235.2)0.20 (0.14–0.28)
SARS-CoV-2 IgM11 NTU<12 d27.6 (12.7–47.2)97.6 (87.4–99.9)8.1 (1.53–43.2)0.74 (0.59–0.94)
≥12 d53.4 (43.3–63.3)15.3 (3.1–74.4)0.48 (0.39–0.60)
Overall48.8 (39.9–57.8)20.5 (2.9–143.4)0.52 (0.44–0.62)
5 NTU<12 d48.3 (29.4–67.5)88.1 (74.4–96.0)4.1 (1.6–10.0)0.59 (0.41–0.85)
≥12 d79.6 (70.5–86.9)6.7 (2.9–15.3)0.23 (0.16–0.34)
Overall72.9 (64.3–80.3)6.1 (2.7–14.0)0.31 (0.23–0.42)
SARS-CoV-2 IgG11 NTU<12 d44.8 (26.4–64.3)100.0 (91.6–100.0)38.7 (2.4–626.2)0.56 (0.40–0.77)
≥12 d90.3 (82.9–95.2)77.3 (4.9–1217.2)0.10 (0.06–0.18)
Overall79.8 (71.9–86.4)68.5 (4.4–1078.6)0.21 (0.15–0.29)
9 NTU<12 d48.3 (29.4–67.5)97.6 (87.4–99.9)20.3 (2.8–145.8)0.53 (0.37–0.76)
≥12 d94.2 (87.8–97.8)39.5 (5.7–274.4)0.06 (0.03–0.13)
Overall83.7 (76.2–89.6)35.2 (5.1–244.2)0.17 (0.11–0.25)

PLR = positive likelihood ratio; NLR = negative likelihood ratio; d = days.

Subjects included in the analyses: Overall, n = 171; time frame < 12 d, n = 71 (positive and negative to SARS-CoV-2 rRT-PCT); time frame ≥ d, n = 145 (positive and negative to SARS-CoV-2 rRT-PCR).

Sensitivities and specificities values are expressed as percentages.

Clinical performances of Novalisa SARS-CoV-2 (COVID-19) IgA, IgM and IgG, obtained using as thresholds the value 11 NovaTec units (NTU) (claimed by manufacture’s inserts COVA940_20200416_EH, COVM0940_20200416_EH and COVG0940_20200416_EH) and the best cut-off defined by Youden index (obtained with the Overall data). PLR = positive likelihood ratio; NLR = negative likelihood ratio; d = days. Subjects included in the analyses: Overall, n = 171; time frame < 12 d, n = 71 (positive and negative to SARS-CoV-2 rRT-PCT); time frame ≥ d, n = 145 (positive and negative to SARS-CoV-2 rRT-PCR). Sensitivities and specificities values are expressed as percentages. In conclusion, the Novalisa SARS-CoV-2 (COVID-19) immunoassay provides excellent analytical and clinical performances, especially for IgG. Our findings on PRNT50 demonstrate that neutralization titers are positively correlated with immunoassays results, even if the strength of the associations is limited. Improvement of the assay design, particularly an enhancement of the dynamic range, might increase the association of Ab levels results with neutralization titers, ameliorating the clinical utility of the assay.

Author contributions

All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

Funding

None declared.

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.
  7 in total

1.  Antigen Detection Tests for SARS-CoV-2: a systematic review and meta-analysis on real world data.

Authors:  Matteo Riccò; Silvia Ranzieri; Simona Peruzzi; Marina Valente; Federico Marchesi; Nicola Luigi Bragazzi; Davide Donelli; Federica Balzarini; Pietro Ferraro; Vincenza Gianfredi; Carlo Signorelli
Journal:  Acta Biomed       Date:  2022-05-11

Review 2.  A Comprehensive Review of Detection Methods for SARS-CoV-2.

Authors:  Aziz Eftekhari; Mahdieh Alipour; Leila Chodari; Solmaz Maleki Dizaj; Mohammadreza Ardalan; Mohammad Samiei; Simin Sharifi; Sepideh Zununi Vahed; Irada Huseynova; Rovshan Khalilov; Elham Ahmadian; Magali Cucchiarini
Journal:  Microorganisms       Date:  2021-01-22

3.  SARS-CoV-2 enzyme-linked immunosorbent assays as proxies for plaque reduction neutralisation tests.

Authors:  Grant A Kay; Sophie I Owen; Emanuele Giorgi; David J Clark; Christopher T Williams; Stefanie Menzies; Luis E Cuevas; Benedict M O Davies; Nicholas M Eckersley; Grant L Hughes; Daniela E Kirwan; Sanjeev Krishna; Edward I Patterson; Tim Planche; Henry M Staines; Emily R Adams
Journal:  Sci Rep       Date:  2022-03-01       Impact factor: 4.379

Review 4.  Point-of-Care Testing-The Key in the Battle against SARS-CoV-2 Pandemic.

Authors:  Florina Silvia Iliescu; Ana Maria Ionescu; Larisa Gogianu; Monica Simion; Violeta Dediu; Mariana Carmen Chifiriuc; Gratiela Gradisteanu Pircalabioru; Ciprian Iliescu
Journal:  Micromachines (Basel)       Date:  2021-11-27       Impact factor: 2.891

5.  Virological and immunological features of SARS-COV-2 infected children with distinct symptomatology.

Authors:  Nicola Cotugno; Alessandra Ruggiero; Giuseppe Rubens Pascucci; Francesco Bonfante; Maria Raffaella Petrara; Chiara Pighi; Loredana Cifaldi; Paola Zangari; Stefania Bernardi; Laura Cursi; Veronica Santilli; Emma Concetta Manno; Donato Amodio; Giulia Linardos; Livia Piccioni; Maria Antonietta Barbieri; Daniela Perrotta; Andrea Campana; Daniele Donà; Carlo Giaquinto; Carlo Concato; Petter Brodin; Paolo Rossi; Anita De Rossi; Paolo Palma
Journal:  Pediatr Allergy Immunol       Date:  2021-07-16       Impact factor: 5.464

Review 6.  Current diagnostic approaches to detect two important betacoronaviruses: Middle East respiratory syndrome coronavirus (MERS-CoV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

Authors:  Zhi Xiong Chong; Winnie Pui Pui Liew; Hui Kian Ong; Chean Yeah Yong; Chong Seng Shit; Wan Yong Ho; Stephanie Y L Ng; Swee Keong Yeap
Journal:  Pathol Res Pract       Date:  2021-07-24       Impact factor: 3.250

7.  Evaluation of Cell-Based and Surrogate SARS-CoV-2 Neutralization Assays.

Authors:  Anton M Sholukh; Andrew Fiore-Gartland; Emily S Ford; Maurine D Miner; Yixuan J Hou; Longping V Tse; Hannah Kaiser; Haiying Zhu; Joyce Lu; Bhanupriya Madarampalli; Arnold Park; Florian A Lempp; Russell St Germain; Emily L Bossard; Jia Jin Kee; Kurt Diem; Andrew B Stuart; Peter B Rupert; Chance Brock; Matthew Buerger; Margaret K Doll; April Kaur Randhawa; Leonidas Stamatatos; Roland K Strong; Colleen McLaughlin; Meei-Li Huang; Keith R Jerome; Ralph S Baric; David Montefiori; Lawrence Corey
Journal:  J Clin Microbiol       Date:  2021-07-21       Impact factor: 5.948

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.