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. 2025 Jan 24;20(1):e0317965. doi: 10.1371/journal.pone.0317965

Low agreement and frequent invalid controls in two SARS-CoV-2 T-cell assays in people with compromised immune function

Annette Audigé 1, Alain Amstutz 2,3,4, Macé M Schuurmans 5, Patrizia Amico 6, Dominique L Braun 1,7, Marcel P Stoeckle 8, Barbara Hasse 7, René Hage 5, Dominik Damm 5, Michael Tamm 9, Nicolas J Mueller 7, Huldrych F Günthard 1,7, Michael T Koller 6,10, Christof M Schönenberger 2, Alexandra Griessbach 2, Niklaus D Labhardt 2, Roger D Kouyos 1,7, Alexandra Trkola 1, Michael Huber 1, Katharina Kusejko 1,7, Heiner C Bucher 2, Irene A Abela 1,7, Matthias Briel 2,11, Frédérique Chammartin 2, Benjamin Speich 2,*; the Swiss HIV Cohort Study, and the Swiss Transplant Cohort Study
Editor: Mao-Shui Wang12
PMCID: PMC11761106  PMID: 39854310

Abstract

T-cell response plays an important role in SARS-CoV-2 immunogenicity. For people living with HIV (PWH) and solid organ transplant (SOT) recipients there is limited evidence on the reliability of commercially available T-cell tests. We assessed 173 blood samples from 81 participants (62 samples from 35 PWH; 111 samples from 46 SOT recipients [lung and kidney]) with two commercial SARS-CoV-2 Interferon-γ (IFN-γ) release assays (IGRA; SARS-CoV-2 IGRA by Euroimmun, and IGRA SARS-CoV-2 by Roche). The reliability between the tests was judged as low (Cohen’s kappa [κ] = 0.20; overall percent agreement [OPA] = 66%). A high proportion of tests were invalid (22% Euroimmun; 8% Roche). When excluding these invalid tests, the agreement was higher (κ  =  0.43; OPA = 90%). The low reliability between the two T-cell tests indicates that results should be interpreted with caution in SOT recipients and PWH and that SARS-CoV-2 T-cell tests need to be optimized and further validated for use in vulnerable patient populations.

Introduction

By the end of 2020, initial findings from SARS-CoV-2 vaccine trials became available, indicating that the vaccines were over 90% effective in temporarily preventing COVID-19 [1, 2]. Given uncertainties about the vaccines’ efficacy in individuals with compromised immune systems, our research group initiated the Corona VaccinE tRiAL pLatform (COVERALL) within the Swiss HIV Cohort Study (SHCS) and the Swiss Transplant Cohort Study (STCS) [35]. Since the vaccines were designed to stimulate an antibody response against the SARS-CoV-2 spike (S1) protein receptor binding domain, the first two COVERALL studies assessed whether people with HIV (PWH) and solid organ transplant (SOT) recipients developed adequate antibody response post vaccination [6, 7]. The emergence of highly mutable variants like Delta and Omicron compromised the neutralizing capability of antibodies [8], emphasizing the growing importance of the T-cell response [811].

Therefore, not only the antibody response but also T-cell response in PWH and SOT recipients (i.e. lung and kidney transplants), following a bivalent mRNA SARS-CoV-2 booster vaccination, was evaluated [12]. During this evaluation we observed differences amongst test results when using different commercially available T-cell tests. Since the reliability of the T-cell tests in people with compromised immune function is unclear, we therefore aimed to assess the agreement of two commercially available T-cell tests.

Methods

Study design

The methods and main results of the COVERALL-3 study have been published separately [12]. In brief, cohort participants from the SHCS and the STCS who had previously already revived the “basic immunization” SARS-CoV-2 vaccination (e.g. two doses of Spikevax from Moderna or two doses of Comirnaty from Pfizer-BioNtech) and who received the bivalent vaccine (mRNA-1273.214 or BA.1–adapted BNT162b2) were recruited from the 27th of October 2022 until the 24th of January 2023. They provided whole blood samples before vaccination (i.e. baseline), and at 4-weeks, 8-weeks, and 6-months post vaccination to measure the antibody response (full eligibility criteria in Supplement 1). A subset of participants provided 8 ml heparinized blood at baseline, 4-weeks, and 6-months to assess the T-cell response. Samples were promptly transported within 6 hours to the Institute of Medical Virology in Zürich where two commercial SARS-CoV-2 Interferon-γ (IFN-γ) release assays (IGRA) by Euroimmun, and Roche were conducted (i.e. SARS-CoV-2 IGRA by Euroimmun, and IGRA SARS-CoV-2 by Roche). The COVERALL-3 study received approval from the ethics committee Nordwest- and Zentralschweiz, Switzerland (BASEC Nr. 2022–01760), and the study protocol is accessible in a trial registry (https://clinicaltrials.gov/ct2/show/NCT04805125). Participants provided written consent for study participation and further utilization of collected biological samples.

Laboratory measurements

Heparinized blood samples were processed within 16 hours after blood withdrawal. The two following SARS-CoV-2 IGRA were used for analyzing the T-cell response following the manufacturers’ instructions: i) the quantitative SARS-CoV-2 IGRA by Euroimmun which combines the Quant-T-Cell SARS-CoV-2 kit for the T-cell stimulation and the Quant-T-Cell ELISA for measuring the released IFN-γ (Euroimmun Medizinische Labordiagnostica, Lübeck, Germany); and ii) the qualitative IGRA SARS‑CoV‑2 by Roche which combines the cobas IGRA SARS-CoV-2 tubes for the T-cell stimulation and the Elecsys IGRA SARS-CoV-2, an electrochemiluminescence immunoassay (ECLIA), for measuring the released IFN-γ (Roche Diagnostics, Rotkreuz, Switzerland).

The kits for T-cell stimulation from both manufacturers consist of three stimulation tubes per whole-blood sample: 1) no T-cell stimulation, for determination of the individual IFN-γ background; 2) specific T-cell stimulation (Euroimmun: antigens based on the S1-domain of the SARS-CoV-2 spike protein; Roche: peptides derived from structural and non-structural proteins of SARS‑CoV‑2); and 3) unspecific T-cell stimulation by means of a mitogen, for control of the stimulation ability. The Euroimmun assay uses antigens based on the S1-domain of the SARS-CoV-2 spike protein; the Roche assay uses more than 180 antigens derived from structural (spike, membrane and nucleocapsid) and non-structural proteins of SARS-CoV-2.

Data generated with the immunoassays were analysed applying the validation criteria for the negative and positive controls as defined by the manufacturers (Euroimmun: positive control ≥400 mIU/ml, negative control ≤400 mIU/ml; Roche: positive control ≥1 IU/ml, negative control ≤0.3 IU/ml). Samples with a non-valid or indeterminate negative or positive stimulation control were labelled “invalid”. Results of the specific stimulation were classified according to the manufacturers’ recommendations either as positive (>200 mIU/ml), negative (<100 mIU/ml), borderline (≥100 mIU/ml to ≤200 mIU/ml), or invalid for the Euroimmun assay, and as positive (≥0.013IU/ml), negative (<0.013 IU/ml), or invalid for the Roche assay (for comparability, non-reactive and reactive results with the Roche test were labelled negative and positive, respectively).

Data analysis

We used Cohen’s kappa to assess the agreement between the two T-cell tests. Cohen’s kappa takes also into account the agreement by chance which can be high when the proportion of true negative or true positive is high (see references for further details [13, 14]). In addition, we also present the simple overall percentage agreement (OPA) which does not adjust for chance agreement. The overall percentage agreement simply assesses the number of agreeing test results for both diagnostic tests divided by all test results. For the interpretation of the kappa we used the following scale as proposed by McHugh [13]: κ  =  0–0.20 indicates no agreement; κ  =  0.21–0.39 suggests minimal agreement; κ  =  0.40–0.59 indicates weak agreement; κ  =  0.60–0.70 signifies moderate agreement; κ  =  0.80–0.90 implies strong agreement; and κ>0.90 denotes almost perfect agreement. In the main analysis, we created a 3x3 table (comprising positive T-cell response, negative T-cell response, and invalid tests) in which borderline results from the Euroimmun test were categorized as positive results. In contrast to other studies [15, 16] we included invalid in our analyses as also these results need to be communicated to clinicians and patients in routine practice. However, we conducted two sensitivity analyses, in which we (i) excluded samples classified as invalid by either test (while treating borderline results from the Euroimmun test as positive), and (ii) treated borderline results from the Euroimmun test as negative. Furthermore, we explored patient characteristics associated with invalid test results, conducted analyses including only PWH or SOT recipients, and assessed each time point separately.

Results

Between October 2022 and September 2023, 81 of the 174 COVERALL-3 [12] study participants provided blood samples to assess the T-cell response. Among these 81 participants, 173 samples were available for testing with both T-cell tests (baseline [n = 40], 4-weeks follow-up [n = 74] and 6-months follow-up [n = 59]). Of these 173 samples, 62 were from PWH (20 with CD4 cell counts <350 cells/μl; 42 with CD4 cell counts ≥350 cells/μl) and 111 from SOT recipients (80 lung transplants; 31 kidney transplants). Baseline characteristics of the 81 participants are presented in S1 Table in S1 File.

Using the Euroimmun T-cell test, 105 of the 173 (60.7%) samples exhibited a positive T-cell response, 12 (6.9%) were borderline, 18 (10.4%) showed no response, and 38 (22.0%) were invalid (Table 1). Using the Roche T-cell test, 139 (80.3%) samples had a positive response, 20 (11.6%) showed no response, and 14 (8.1%) were invalid (Table 1). Among PWH, 2 (3.2%) had an invalid result using the Euroimmun test and 8 (12.9%) with the Roche test. Among SOT recipients, 36 (32.4%) had an invalid result with the Euroimmun test and 6 (5.4%) with the Roche test (Table 1).

Table 1. Agreement between the SARS-CoV-2 IGRA by Euroimmun and the IGRA SARS‑CoV‑2 by Roche using the cut-off categories as provided by the manufacturers.

People living with HIV and solid organ transplant recipients combined
IGRA SARS-CoV-2 by Roche
SARS-CoV-2 IGRA by Euroimmun Positive Negative Invalid Total
Positive 93 1 11 105 (60.7%)
Borderline* 12 0 0 12 (6.9%)
Negative 12 6 0 18 (10.4%)
Invalid 22 13 3 38 (22.0%)
Total 139 (80.3%) 20 (11.6%) 14 (8.1%) 173 (100.0%)
κ  =  0.20; overall percent agreement: 66%; expected agreement 57%.*
People living with HIV from the Swiss HIV Cohort Study
IGRA SARS-CoV-2 by Roche
SARS-CoV-2 IGRA by Euroimmun Positive Negative Invalid Total
Positive 49 1 7 57 (91.9%)
Borderline* 3 0 0 3 (4.8%)
Negative 0 0 0 0 (0.0%)
Invalid 1 0 1 2 (3.2%)
Total 53 (85.5%) 1 (1.6%) 8 (12.9%) 62 (100.0%)
κ  =  0.14; overall percent agreement: 85%; expected agreement: 83%.*
Solid organ transplant recipients from the Swiss Transplant Cohort Study
IGRA SARS-CoV-2 by Roche
SARS-CoV-2 IGRA by Euroimmun Positive Negative Invalid Total
Positive 44 0 4 48 (43.2%)
Borderline* 9 0 0 9 (8.1%)
Negative 12 6 0 18 (16.2%)
Invalid 21 13 2 36 (32.4%)
Total 86 (77.5%) 19 (17.1%) 6 (5.4%) 111 (100.0%)
κ  =  0.18; overall percent agreement: 54%; expected agreement: 44%.*

*For calculating κ and agreements, borderline results from the Euroimmun test were classified as a positive T-cell response.

Abbreviations: IGRA = Interferon-γ release assay

Classifying borderline results from the Euroimmun test as positive, kappa was minimal (κ  =  0.20) and the OPA was 66% (Table 1; S2 Table in S1 File). When stratifying by PWH (κ  =  0.14; OPA: 85%) and SOT recipients (κ  =  0.18; OPA: 54%), higher OPA for PWH and low kappas were observed (Table 1). The overall kappa decreased further by treating borderline results from the Euroimmun test as negative (κ  =  0.14; OPA = 59%; S3 Table in S1 File). The agreement was similarly low when separately assessing samples from baseline, 4-weeks, and 6-months (S4 Table in S1 File). Excluding all invalid results from either test, a high OPA (90%), but a weak agreement based on kappa was observed (Table 2).

Table 2. Sensitivity analysis, assessing the agreement between the SARS-CoV-2 IGRA by Euroimmun and the IGRA SARS‑CoV‑2 by Roche when dropping samples that were invalid with either test.

People living with HIV and solid organ transplant recipients combined
IGRA SARS-CoV-2 by Roche
SARS-CoV-2 IGRA by Euroimmun Positive Negative Total
Positive 105 1 106 (85.5%)
Negative 12 6 18 (14.5%)
Total 117 (94.4%) 7 (5.6%) 124 (100.0%)
κ  =  0.43; overall percent agreement: 90%; expected agreement 81%
People living with HIV from the Swiss HIV Cohort Study
SARS-CoV-2 IGRA by Euroimmun Positive Negative Total
Positive 52 1 53 (100.0%)
Negative 0 0 0 (0.0%)
Total 52 (98.1%) 1 (1.9%) 53 (100.0%)
κ  =  -; overall percent agreement: 98%; expected agreement 98%
Solid organ transplant recipients from the Swiss Transplant Cohort Study
SARS-CoV-2 IGRA by Euroimmun Positive Negative Total
Positive 53 0 53 (74.6%)
Negative 12 6 18 (25.4%)
Total 65 (91.5%) 6 (8.5%) 71 (100.0%)
κ  =  0.43; overall percent agreement: 83%; expected agreement 70%

Borderline results from the Euroimmun test were classified as a positive T-cell response and invalid results from either test were dropped.

For both tests, IFN-γ concentrations of the positive controls were lower for SOT recipients compared to PWH (Fig 1). For two SOT recipients, all samples from all three timepoints were invalid using the Euroimmun test (S1 Fig in S1 File). Detailed analyses showed a median of 426 days since organ transplantation (Interquartile Range [IQR] 351–500) for these SOT recipients, in contrast to 2,822 days (IQR: 1,072–3,315) for SOT recipients with no invalid Euroimmun test (S5 Table in S1 File). Positive controls that were invalid with the Euroimmun test had low positive control values with the Roche test (S2 Fig in S1 File). A description of all invalid test results is provided in S6 Table in S1 File. Especially, most invalid results of the Euroimmun test were invalid positive controls in SOT recipients.

Fig 1. Interferon-γ concentrations of samples and the positive and negative controls using either the Euroimmun or the Roche T-cell test.

Fig 1

Red lines indicate the thresholds for positivity (and borderline) for patients samples and for validity of the positive and negative controls, respectively. Abbreviations: IGRA = Interferon-γ release assays; PWH = People with HIV; SOT = Solid organ transplant.

Discussion

Ideally two commercially available tests measuring the SARS-CoV-2 T-cell response in the same blood sample should come to the same result in order to be trustworthy and so that clinicians can make an informed decision together with patients. Our study showed low agreement based on kappa when assessing the T-cell response in individuals with compromised immune function with the two commercially available SARS-CoV-2 IGRA T-cell tests by Euroimmun and Roche. As case distribution between positive and negative was uneven (especially amongst PWH), a low kappa did not necessarily mean low OPA (kappa paradox [17]). However, the high OPA was also strongly driven by the high expected agreement (i.e. agreement by chance), and the low kappa confirmed that the tests had difficulties in distinguishing the few negative and the invalid results. In agreement with our results, Carretero and colleagues found a low kappa (κ  =  0.29) for the T-cell tests by Euroimmun and Roche amongst 50 kidney patients (n = 24 kidney transplant recipients; n = 26 chronic kidney disease) [15]. In contrast to these results, a study involving 89 healthcare workers found substantial agreement among four T-cell assays (two ELISA-based IGRA and two IFN-γ ELISPOT assays) [18]. The authors observed a stronger correlation between assays within the same platform (IGRA or ELISPOT) than between different platforms. The measurement of released IFN-γ either in supernatant (ELISA-based IGRA), or immobilized (IFN-γ ELISPOT) could contribute to this difference. Of note, the Euroimmun IGRA and the QuantiFERON IGRA (Qiagen) are both ELISAs, while the IGRA by Roche used in our study is an electrochemiluminescence immunoassay. Additionally, the discrepancy between the Euroimmun and Roche IGRAs may also stem from differences in the type of antigen utilized. Natural SARS-CoV-2 infection induces cellular immunity not only towards spike (the Euroimmun antigen is solely based on the S1-domain of the spike protein), but also towards other viral proteins (the Roche antigens are peptides derived from several structural and non-structural proteins).

The potential for invalid results due to impaired T-cell activity or low T-cell numbers, among patients with different levels of immunosuppression, represents an additional challenge for T-cell response assessment. A large proportion (22%) of Euroimmun SARS-CoV-2 IGRA tests, mainly from participants having recently received a SOT, were invalid due to an invalid positive control. This might be a result of the more immunosuppressed state of this patient group compared to PWH, in combination with the antigen used in the Euroimmun test. This finding is in line with a study conducted by Saad-Albichr et al., where 20% of kidney transplant recipients had invalid Euroimmun T-cell results [16]. Conversely, when using the IGRA SARS-CoV-2 by Roche to assess the T-cell response, the proportion of invalid results in our study was 8% (14/173), mainly due to an invalid negative control (79%; 11/14). The difference in the proportion of invalid positive controls between the two tests may stem from differences in the type and concentration of the mitogens/stimulants in the positive controls, details of which are undisclosed by the manufacturers. Meanwhile, discrepancies in the proportion of invalid negative controls are likely due to varying cut-offs established by the manufacturers. These data underscore the necessity for optimizing T-cell assays for patients with different levels of immunosuppression.

The following limitations are worth mentioning: Firstly, we found low agreement between the two T-cell tests. However, due to the absence of a gold standard we cannot make any statement about the true performance of the individual tests. While some assessments showed high sensitivity and specificity of the SARS-CoV-2 IGRA by Euroimmun in the general population [19, 20], we are aware of only one published assessment of the IGRA SARS-CoV-2 by Roche which was conducted in immunosuppressed patients and excluded invalid results from the analyses [15]). Secondly, with 173 samples from 81 participants our sample size is limited. Hence, especially the sub-group analyses should be interpreted with caution.

In conclusion, our results indicate low agreement between two commercial SARS-CoV-2 T-cell tests in PWH and SOT recipients, raising concerns regarding the reliability of these tests in individuals with compromised immune function. Especially the Euroimmun test showed a high proportion of invalid test results in SOT recipients due to an insufficient positive control. Hence, optimizing and validating SARS-CoV-2 T-cell tests in vulnerable populations, for whom such tests are of particular importance, is crucial.

Supporting information

S1 Dataset

(XLSX)

pone.0317965.s001.xlsx (15KB, xlsx)
S1 File

(DOCX)

pone.0317965.s002.docx (574KB, docx)

Acknowledgments

We are grateful to all involved study staff at the local centers in Basel (Maria Pascarella, Louise Seiler), Zürich (Daniela Gsell, Katia Dettling, Laura Tschuor, Christina Grube, Flurina Brunschweiler, Christine Schneider, Andrea Wallensteiner, Daniel Götsch, Andrea Macedo, Esther Göldi, Alina Imoli), and the Institute of Medical Virology, University of Zürich. Most importantly, we thank all study participants.

Members of the Swiss HIV Cohort Study

Abela I, Aebi-Popp K, Anagnostopoulos A, Battegay M, Bernasconi E, Braun DL, Bucher HC, Calmy A, Cavassini M, Ciuffi A, Dollenmaier G, Egger M, Elzi L, Fehr J, Fellay J, Furrer H, Fux CA, Günthard HF (President of the SHCS), Hachfeld A, Haerry D (deputy of "Positive Council"), Hasse B, Hirsch HH, Hoffmann M, Hösli I, Huber M, Jackson-Perry D (patient representatives), Kahlert CR (Chairman of the Mother & Child Substudy), Kaiser L, Keiser O, Klimkait T, Kouyos RD, Kovari H, Kusejko K (Head of Data Centre), Labhardt N, Leuzinger K, Martinez de Tejada B, Marzolini C, Metzner KJ, Müller N, Nemeth J, Nicca D, Notter J, Paioni P, Pantaleo G, Perreau M, Rauch A (Chairman of the Scientific Board), Salazar-Vizcaya L, Schmid P, Speck R, Stöckle M (Chairman of the Clinical and Laboratory Committee), Tarr P, Trkola A, Wandeler G, Weisser M, Yerly S.

Members of the Swiss Transplant Cohort Study

The members of the Swiss Transplant Cohort Study: Patrizia Amico, John-David Aubert, Vanessa Banz, Sonja Beckmann, Guido Beldi, Christoph Berger, Ekaterine Berishvili, Annalisa Berzigotti, Isabelle Binet, Pierre-Yves Bochud, Sanda Branca, Heiner C. Bucher, Emmanuelle Catana, Anne Cairoli, Yves Chalandon, Sabina De Geest, Olivier De Rougemont, Sophie De Seigneux, Michael Dickenmann, Joëlle Lynn Dreifuss, Michel Duchosal, Thomas Fehr, Sylvie Ferrari-Lacraz, Christian Garzoni, Déla Golshayan, Nicolas Goossens, Fadi Haidar, Jörg Halter, Dominik Heim, Christoph Hess, Sven Hillinger, Hans H Hirsch, Patricia Hirt, Linard Hoessly, Günther Hofbauer, Uyen Huynh-Do, Franz Immer, Michael Koller, Bettina Laesser, Frédéric Lamoth, Roger Lehmann, Alexander Leichtle, Oriol Manuel, Hans-Peter Marti, Michele Martinelli, Valérie McLin, Katell Mellac, Aurélia Merçay, Karin Mettler, Nicolas J Mueller, Ulrike Müller-Arndt, Beat Müllhaupt, Mirjam Nägeli, Graziano Oldani, Manuel Pascual, Jakob Passweg, Rosemarie Pazeller, Klara Posfay-Barbe, Juliane Rick, Anne Rosselet, Simona Rossi, Silvia Rothlin, Frank Ruschitzka, Thomas Schachtner, Stefan Schaub, Alexandra Scherrer, Aurelia Schnyder, Macé Schuurmans, Simon Schwab, Thierry Sengstag, Federico Simonetta, Susanne Stampf, Jürg Steiger, Guido Stirnimann, Ueli Stürzinger, Christian Van Delden, Jean-Pierre Venetz, Jean Villard, Julien Vionnet, Madeleine Wick, Markus Wilhelm, Patrick Yerly.

Data Availability

As requested by the journal, we provide the data set for the diagnostic comparison (see supplementary excel file).

Funding Statement

The vaccine study in which the samples for the T-cell assays were collected (i.e. COVERALL-3) was funded by Moderna. Roche provided all reagents for the T-cell assay Elecsys® IGRA SARS-CoV-2. The set-up of the study platform (i.e. COVERALL) was funded by the Swiss National Science Foundation (grant # 31CA30_196245). The Swiss HIV Cohort Study (SHCS) and the Swiss Transplant Cohort Study (STCS) are funded by the Swiss National Science Foundation (SHCS: grant #177499 and #201369, STCS: grant #33CS30_177522). Alain Amstutz received his salary for the duration of this project from the Junior Research Fund of the University of Basel. Christof Manuel Schönenberger received his salary for the duration of this project from the Swiss National Science Foundation (grant # 323530_221860) and the Janggen Pöhn Foundation. The funders had no role in data collection, analysis, and preparation of the manuscript. Before submission, Moderna and Roche had the right to read the manuscript and make suggestions, but the study team was not obliged to accept suggestions and the Funders were not involved in the final decision to submit to the journal.

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Decision Letter 0

Mao-Shui Wang

12 Nov 2024

PONE-D-24-37872Low agreement and frequent invalid controls in two SARS-CoV-2 T-cell assays in people with compromised immune functionPLOS ONE

Dear Dr. Speich,

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Partly

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: N/A

**********

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Reviewer #1: No

Reviewer #2: Yes

Reviewer #3: Yes

**********

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**********

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Reviewer #1: Dear authors,

the authors have performed direct comparison of two commercially available tests for the assessment of SARS-CoV-2-specific cellular immunity in two different cohorts of immune impaired persons (people living with HIV, PWH and solid organ transplant recipients, SOT). They found low agreement of test results and high rates of invalid results with particular differences between the two patient groups and conclude that the tests need to be optimized especially for immune impaired patients which are most vulnerable. The manuscript is well written, and most of the data is presented clearly. However, I have some points which should be addressed to further improve clarity especially for readers, which are not familiar with the test principles in detail.

- Introduction: p.6, last sentence „However since the reliability of the T-cell tests in people with compromised immune function is unclear…“

Since this is the main fact, the study is based on, please explain in more detail (e.g. with IGRA performances concerning other pathogens like Mtb in these patient groups) or at least include adequate citations.

- Methods: p.7

Please state the validation criteria for negative and positive controls as well as the detection limits as defined by the manufacturers. This information is important to follow the conclusions adequately.

- Methods: p.8 (Data analysis)

In this section, the authors state, that borderline results from the Euroimmun test were categorized as positive for the 3x3 table comparison and as negative for sensitivity analysis. In contrast, in the footnote to table 2 (sensitivity analysis), it is stated that borderline results were categorized as positive. The latter would be more intuitive in my opinion and matches with the numbers given in the table. So, I guess, the „negative“ is a typo and should be "positive". If this is the case, please correct accordingly, if not, please explain why borderline results were treated as positive for 3x3 tables and as negative for sensitivity analyses.

- p.9, line 6: typo: PHW should be PWH

- Discussion: p.10

The authors compare IGRA with ELISPOT. I’d like to point out, that the ELISPOT assay is also an IGRA (interferon gamma release assay), as the IFNg is released by the cells either. The tests just differ in the way of readout (whole IFNg detected by ELISA in the supernatant vs IFNg immobilized via catch antibodies and detetcted as „spot“ on a plate). Please reword accordingly (e.g. comparing „ELISA-based IGRA“ with ELISPOT).

- Discussion: p.10

The discussion on the underlying causes for the differences in test performances should be expanded, at least for the following two points:

(i) ELISA and electrochemiluminescence immunoassay (both detect IFNg in the supernatant after stimulation) do not differ in the way/extent, ELISA and ELISPOT do (see above). Please comment.

(ii) the authors state that the discrepancy between the two tests „may also stem from differences in the type of antigen utilized“ without further explanation. I guess, this difference (EI: antigens against S1-domain of spike only vs. 189 peptides against various SARS-CoV-2 proteins) may be important, a. o. because SARS-CoV-2 infection induces cellular immunity not only towards spike (as it is the case for the applied vaccines) but also towards other viral proteins. Please expand the discussion concerning this point.

- Discussion: p.10, „However, due to the absence of a gold standard we cannot make any statement about true performance of the individual tests.“

This is true and an important point to mention. Nevertheless, can the authors give some information about expected reactivities in the two populations after mRNA-vaccination (from other studies with PWH and SOT)?

- Figure 1:

Please include the results of the antigen tubes as well to give an estimate on the respective distribution of the IFNg-levels.

- Table S1: Since the focus of the study is to compare two different tests in two different cohorts of immune impaired individuals (and not to compare two different vaccine regimens), I would recommend to compare PWH and SOT recipients in the two columns (with one line depicting the percentage of persons vaccinated with the Moderna or the Pfizer-BioNTech vaccine respectively). This would be more intuitive. Please consider revising accordingly.

Additionally, information on time since last immunizing event (SARS-CoV-2 vaccination or infection) before baseline measurement and (history of SARS-CoV-2 infection before each measurement) would be informative to assess the probability of a truely negative test result. Is this information available and can be included in table S1?

What is the rationale for including information on influenza vaccination? Please explain or delete.

Reviewer #2: Audigé et al. propose a study of T cell response to SARS-CoV2 in vaccinated immunocompromised patients: people living with HIV and solid organ transplant recipients.

The study is well presented and clear. However, several minor points needs to be clarified before publication:

- The threshold for positive response to the two tests need to be indicated

- The indeterminate results (or ‘invalid’) needs to be explained: is this a negative response to the positive control or a positive response to the negative control?

- The high proportion of negative results with the Euroimmun tests may be linked to the lack of SARS-Cov2 antigen stimulation (spike alone)

In the abstract, ‘vaccinated patients’ should be quoted. Also, ‘immunocompromised’ should replace ‘vulnerable’ patients.

Reviewer #3: 1. In the main text it is mentioned that data was collected in 2022-2023, thus it should be clarified that vaccination by 2 doses was not a primary vaccination regimen, as the majoriyt of patients received full doses of vaccine during the pandemic beginning

2.In the Methods section it is mentioned, that patients provided samples at several time points, but it seems like not all the patients provided blood samples at all the time points. Could you clarify why? did the timepoint of blood test from vaccination had an impact on the tests result?

3.Authors should explain how kappa and OPA are calculated, otherwise it is not clear why there is a discrepancy between the kappa and OPA

4.the main point that the methodology of the compared tests is different, thus it is hard to compare the results

5. How do you explain more invalid results with Roche in PWH and more invalid results of Euroimmun in SOT?

**********

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Reviewer #2: Yes: Amélie Guihot

Reviewer #3: No

**********

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Attachment

Submitted filename: PolsOne2024.docx

pone.0317965.s003.docx (12.9KB, docx)
PLoS One. 2025 Jan 24;20(1):e0317965. doi: 10.1371/journal.pone.0317965.r002

Author response to Decision Letter 0


16 Dec 2024

PONE-D-24-37872

We would like to thank the editors and all reviewers for their thorough assessment of our manuscript and their helpful comments. We have implemented and clarified the comments to further strengthen our manuscript. Please see our responses below (in blue colour). Of note, all line numbers are referring to the track-changed version of our manuscript.

Reviewer 1

Dear authors,

the authors have performed direct comparison of two commercially available tests for the assessment of SARS-CoV-2-specific cellular immunity in two different cohorts of immune impaired persons (people living with HIV, PWH and solid organ transplant recipients, SOT). They found low agreement of test results and high rates of invalid results with particular differences between the two patient groups and conclude that the tests need to be optimized especially for immune impaired patients which are most vulnerable. The manuscript is well written, and most of the data is presented clearly. However, I have some points which should be addressed to further improve clarity especially for readers, which are not familiar with the test principles in detail.

Response: We thank reviewer 1 for the overall positive feedback and the constructive comments which we address below.

R1.1:- Introduction: p.6, last sentence „However since the reliability of the T-cell tests in people with compromised immune function is unclear…“

Since this is the main fact, the study is based on, please explain in more detail (e.g. with IGRA performances concerning other pathogens like Mtb in these patient groups) or at least include adequate citations.

Response: During the study where we assessed the T-cell response in PWH and SOT recipients after receiving a bivalent SARS-CoV-2 vaccine, we realised that the two used T-cell tests (from Euroimmun and Roche) are not always in agreement. As we did not find relevant literature (same patient population and same tests) we decided to conduct this study in which we assessed the agreement of these two T-cell tests. We have expanded on the rationale in the background section accordingly (see revised manuscript, lines 131-134)

R1.2:- Methods: p.7

Please state the validation criteria for negative and positive controls as well as the detection limits as defined by the manufacturers. This information is important to follow the conclusions adequately.

Response: We agree with the reviewer that limits for negative and positive controls as well as the detection limits are missing in the manuscript. We added the threshold values to the methods section (see revised manuscript, lines 172-173 and 175-179). The thresholds are also shown as red lines in Figure 1.

R1.3:- Methods: p.8 (Data analysis)

In this section, the authors state, that borderline results from the Euroimmun test were categorized as positive for the 3x3 table comparison and as negative for sensitivity analysis. In contrast, in the footnote to table 2 (sensitivity analysis), it is stated that borderline results were categorized as positive. The latter would be more intuitive in my opinion and matches with the numbers given in the table. So, I guess, the „negative“ is a typo and should be "positive". If this is the case, please correct accordingly, if not, please explain why borderline results were treated as positive for 3x3 tables and as negative for sensitivity analyses.

Response: We apologise that this was not entirely clear. In fact, we have conducted two sensitivity analyses. Reviewer 1 is correct that for the sensitivity analyses in which invalid results were excluded, the borderline test results from Euroimmun were treated as positive. The results from the second sensitivity analysis in which we treated borderline results from the Euroimmun test as negative are presented in the Table S3. In the revised manuscript we have clarified in the methods section that we have conducted two sensitivity analyses: “However, we conducted two sensitivity analyses, in which we (i) excluded samples classified as invalid by either test (while treating borderline results from the Euroimmun test as positive), and (ii) treated borderline results from the Euroimmun test as negative.” (see revised manuscript, lines 196-200).

R1.4:- p.9, line 6: typo: PHW should be PWH

Response: Thank you for spotting this typo. We corrected it as suggested (see revised manuscript, line 216).

R1.5:- Discussion: p.10

The authors compare IGRA with ELISPOT. I’d like to point out, that the ELISPOT assay is also an IGRA (interferon gamma release assay), as the IFNg is released by the cells either. The tests just differ in the way of readout (whole IFNg detected by ELISA in the supernatant vs IFNg immobilized via catch antibodies and detected as „spot“ on a plate). Please reword accordingly (e.g. comparing „ELISA-based IGRA“ with ELISPOT).

Response: We agree with the reviewer that both assays measure the release of interferon gamma, one in supernatant, the other immobilized. We therefore reworded as suggested as “ELISA-based IGRA and IFN-γ ELISPOT” (line 246).

R1.6:- Discussion: p.10

The discussion on the underlying causes for the differences in test performances should be expanded, at least for the following two points:

(i) ELISA and electrochemiluminescence immunoassay (both detect IFNg in the supernatant after stimulation) do not differ in the way/extent, ELISA and ELISPOT do (see above). Please comment.

(ii) the authors state that the discrepancy between the two tests „may also stem from differences in the type of antigen utilized“ without further explanation. I guess, this difference (EI: antigens against S1-domain of spike only vs. 189 peptides against various SARS-CoV-2 proteins) may be important, a. o. because SARS-CoV-2 infection induces cellular immunity not only towards spike (as it is the case for the applied vaccines) but also towards other viral proteins. Please expand the discussion concerning this point.

Response: We thank the reviewer for these suggestions. We added a sentence on the two different detection methods “The measurement of released IFN-γ either in supernatant (ELISA-based IGRA), or immobilized (IFN-γ ELISPOT) could contribute to this difference” (lines 248-249).

We also expanded the discussion the different antigens used by stating that “Natural SARS-CoV-2 infection induces cellular immunity not only towards spike (the Euroimmun antigen is solely based on the S1-domain of the spike protein), but also towards other viral proteins (the Roche antigens are peptides derived from several structural and non-structural proteins)” (lines 252-255).

R1.7:- Discussion: p.10, „However, due to the absence of a gold standard we cannot make any statement about true performance of the individual tests.“

This is true and an important point to mention. Nevertheless, can the authors give some information about expected reactivities in the two populations after mRNA-vaccination (from other studies with PWH and SOT)?

Response: We have added now more context and refer to recent studies which have assessed the performance of the two diagnostic tests. “While some assessments showed high sensitivity and specificity of the SARS-CoV-2 IGRA by Euroimmun [19-20] in the general population, we are aware of only one published assessment of the IGRA SARS-CoV-2 by Roche which was conducted in immunosuppressed patients and excluded invalid results from the analyses [15].” (see revised manuscript, lines 275-278).

R1.8:- Figure 1:

Please include the results of the antigen tubes as well to give an estimate on the respective distribution of the IFNg-levels.

Response: As the author suggested, we included the results of the patient samples in Figure 1. Figure 1 now has three rows for patient samples, positive controls and negative controls.

R1.9:- Table S1: Since the focus of the study is to compare two different tests in two different cohorts of immune impaired individuals (and not to compare two different vaccine regimens), I would recommend to compare PWH and SOT recipients in the two columns (with one line depicting the percentage of persons vaccinated with the Moderna or the Pfizer-BioNTech vaccine respectively). This would be more intuitive. Please consider revising accordingly.

Additionally, information on time since last immunizing event (SARS-CoV-2 vaccination or infection) before baseline measurement and (history of SARS-CoV-2 infection before each measurement) would be informative to assess the probability of a truely negative test result. Is this information available and can be included in table S1?

What is the rationale for including information on influenza vaccination? Please explain or delete.

Response: We completely agree with the reviewer and have therefore generated a new Table S1 following the recommendations from Reviewer 1. In brief, we present characteristics now stratified by PWH and SOT patients instead of vaccination received, we have dropped the variable “flu vaccine” and “days since last SARS-CoV-2 vaccination before receiving the bivalent SARS-CoV-2 vaccine”. Unfortunately, we do not have information about previous SARS-CoV-2 infections (only antibody test to the nucleocapsid protein as a proxy). However, please note that the agreement of tests did not improve after receiving the bivalent SARS-CoV-2 vaccine (Table S4).

Reviewer 2

Audigé et al. propose a study of T cell response to SARS-CoV2 in vaccinated immunocompromised patients: people living with HIV and solid organ transplant recipients.

The study is well presented and clear. However, several minor points needs to be clarified before publication:

Response: We thank reviewer 2 for the careful assessment and the positive feedback.

R2.1:- The threshold for positive response to the two tests need to be indicated

Response: We thank the reviewer for this comment. As already mentioned in the response to reviewer 1 (see R.1.2 above), we added the threshold values to the methods section (see revised manuscript, lines 172-173 and 175-179). The thresholds are also shown as red lines in Figure 1.

R2.2:- The indeterminate results (or ‘invalid’) needs to be explained: is this a negative response to the positive control or a positive response to the negative control?

Response: We explain the invalid results in terms of invalid negative or positive controls, respectively, in Table S6. In the revised version, we expanded this table (see also answer to reviewer #3 point R3.5 below).

R2.3:- The high proportion of negative results with the Euroimmun tests may be linked to the lack of SARS-Cov2 antigen stimulation (spike alone)

Response: We thank the reviewer for this comment. As already mentioned in the response to reviewer 1 (see point 1.6 above), we expanded the discussion on the different antigens used in both tests (lines 252-255).

R2.4: In the abstract, ‘vaccinated patients’ should be quoted. Also, ‘immunocompromised’ should replace ‘vulnerable’ patients.

Response: We thank reviewer 2 for those suggestions to improve the wording. We have replaced in the abstract “patients” by “participants”. Furthermore, we have replaced “immunocompromised patients” by “patients with different levels of immunosuppression” (see revised manuscript, lines 108, 258, and 271).

Reviewer 3

R3.1.: In the main text it is mentioned that data was collected in 2022-2023, thus it should be clarified that vaccination by 2 doses was not a primary vaccination regimen, as the majority of patients received full doses of vaccine during the pandemic beginning

Response: We agree that this was not entirely clear and have therefore adapted our manuscript accordingly. “In brief, cohort participants from the SHCS and the STCS who have previously already revived the “basic immunization” SARS-CoV-2 vaccination (e.g. two doses of Spikevax from Moderna or two doses of Comirnaty from Pfizer-BioNtech) and who received the bivalent vaccine (mRNA-1273.214 or BA.1–adapted BNT162b2) were recruited from the 27th October 2022 until the 24th January 2023” (see revised manuscript, lines 138-142). Furthermore, the baseline Table contains information about the numbers of previously received SARS-CoV-2 vaccines (Table S1).

R3.2.: In the Methods section it is mentioned, that patients provided samples at several time points, but it seems like not all the patients provided blood samples at all the time points. Could you clarify why? did the timepoint of blood test from vaccination had an impact on the tests result?

Response: The fact that not all patients show up at all study visits is rather common in clinical studies and something which we also observed in all our COVERALL studies. As COVERALL-3 was an observational study we did not systematically assess the reasons for missed study visits. Our analyses assessing the agreement between the SARS-CoV-2 IGRA by Euroimmun and the IGRA SARS‑CoV‑2 by Roche for each time point (Table S4) does not indicate any different results. For more information about the durability of the immune response we have to refer to our main results paper (Amstutz A et al. Antibody and T-cell response to bivalent booster SARS-CoV-2 vaccines in people with compromised immune function (COVERALL-3). J Infect Dis. 2024).

R3.3. Authors should explain how kappa and OPA are calculated, otherwise it is not clear why there is a discrepancy between the kappa and OPA

Response: We clarify now in more detail the different concepts of these statistics (i.e. Kappa takes into account the agreement by chance) and cite relevant references (see revised manuscript, lines 182-187).

R3.4: the main point that the methodology of the compared tests is different, thus it is hard to compare the results

Response: We agree that the two diagnostic tests use different methodology. Thus, from a researchers’ perspective it might not be surprising that the agreement is not perfect. However, both diagnostic tests are routinely used and are commercially available - to assess if a patient has a T-cell response or not. Hence, we would argue that from a patient and clinician’s perspective it is rather worrisome if two routinely used tests can rather strongly diverge regarding a positive or negative result, a fact clinicians need to take in to account when communicating results to patients

R3.5.: How do you explain more invalid results with Roche in PWH and more invalid results of Euroimmun in SOT?

Response: To answer this question in more detail, we added two columns to Table S6 and split the invalid results of the Euroimmun and the Roche test into two groups: PWH and SOT recipients. As the reviewer mentions, most invalid results with Euroimmun are invalid positive controls in SOT recipients. This might be a result of the more immunosuppressed state of this patient group compared to PWH, in combination with the antigen used in the Euroimmun test. We added this to the text (see revised manuscript, lines 228-229 and 259-263). In the Roche test, invalid results are mostly invalid negative controls in PWH. We don’t have a good explanation for this phenomenon.

Additional points:

• With a heavy heart we have to inform you that the first author Annette Audigé has passed away on the 27th September 2024. We have all been working with her very closely and have implemented the requested changes also in her interest, having access to all study related data. We have included the information about the death of Annette Audigé in the authors contribution section.

• As requested by the journal, we provide the data set for the diagnostic comparison (see supplementary excel file).

Attachment

Submitted filename: P-b-p response_2024-12-16.docx

pone.0317965.s004.docx (30.4KB, docx)

Decision Letter 1

Mao-Shui Wang

8 Jan 2025

Low agreement and frequent invalid controls in two SARS-CoV-2 T-cell assays in people with compromised immune function

PONE-D-24-37872R1

Dear Dr. Speich,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice will be generated when your article is formally accepted. Please note, if your institution has a publishing partnership with PLOS and your article meets the relevant criteria, all or part of your publication costs will be covered. Please make sure your user information is up-to-date by logging into Editorial Manager at Editorial Manager® and clicking the ‘Update My Information' link at the top of the page. If you have any questions relating to publication charges, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Mao-Shui Wang

Academic Editor

PLOS ONE

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: (No Response)

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: (No Response)

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: (No Response)

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: (No Response)

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: (No Response)

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: (No Response)

Reviewer #2: Thank you for the point by point response. Positivity thresholds for the tests have been added and the discussion about the antigen has been completed.

**********

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Reviewer #1: No

Reviewer #2: Yes: Amélie Guihot

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Acceptance letter

Mao-Shui Wang

10 Jan 2025

PONE-D-24-37872R1

PLOS ONE

Dear Dr. Speich,

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on behalf of

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PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Dataset

    (XLSX)

    pone.0317965.s001.xlsx (15KB, xlsx)
    S1 File

    (DOCX)

    pone.0317965.s002.docx (574KB, docx)
    Attachment

    Submitted filename: PolsOne2024.docx

    pone.0317965.s003.docx (12.9KB, docx)
    Attachment

    Submitted filename: P-b-p response_2024-12-16.docx

    pone.0317965.s004.docx (30.4KB, docx)

    Data Availability Statement

    As requested by the journal, we provide the data set for the diagnostic comparison (see supplementary excel file).


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