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The Journal of General Virology logoLink to The Journal of General Virology
. 2023 May 11;104(5):001854. doi: 10.1099/jgv.0.001854

Plasma after both SARS-CoV-2 boosted vaccination and COVID-19 potently neutralizes BQ.1.1 and XBB.1

David J Sullivan 1,*, Massimo Franchini 2, Jonathon W Senefeld 3, Michael J Joyner 3, Arturo Casadevall 1, Daniele Focosi 4
PMCID: PMC10336427  PMID: 37167085

Abstract

Recent 2022 SARS-CoV-2 Omicron variants, have acquired resistance to most neutralizing anti-Spike monoclonal antibodies authorized, and the BQ.1.* sublineages are notably resistant to all authorized monoclonal antibodies. Polyclonal antibodies from individuals both vaccinated and recently recovered from Omicron COVID-19 (VaxCCP) could retain new Omicron neutralizing activity. Here we reviewed BQ.1.* virus neutralization data from 920 individual patient samples from 43 separate cohorts defined by boosted vaccinations (Vax) with or without recent Omicron COVID-19, as well as infection without vaccination (CCP) to determine level of BQ.1.* neutralizing antibodies and percent of plasma samples with neutralizing activity. More than 90 % of the plasma samples from individuals in the recently (within 6 months) boosted VaxCCP study cohorts neutralized BQ.1.1, and BF.7 with 100 % neutralization of WA-1, BA.4/5, BA.4.6 and BA.2.75. The geometric mean of the geometric mean 50 % neutralizing titres (GM (GMT50) were 314, 78 and 204 for BQ.1.1, XBB.1 and BF.7, respectively. Compared to VaxCCP, plasma sampled from COVID-19 naïve subjects who also recently (within 6 months) received at least a third vaccine dose had about half of the GM (GMT50) for all viral variants. Boosted VaxCCP characterized by either recent vaccine dose or infection event within 6 months represents a robust, variant-resilient, neutralizing antibody source against the new Omicron BQ.1.1, XBB.1 and BF.7 variants.

Keywords: convalescent plasma, SARS-CoV-2, COVID-19, BQ.1.1, XBB, BF.7: virus neutralization

Impact Statement

Recently collected polyclonal plasma from individuals who are both vaccinated and have recovered COVID-19: (i) neutralizes mismatched future variants including BQ.1.1 and (ii) neutralizes monoclonal resistant variants of SARS-CoV-2.

Introduction

In immunocompromised (IC) patients both passive immunotherapies and small molecule antivirals are often necessary to treat COVID-19 or eliminate persistently high SARS-CoV-2 viral load. Chronic, persistent viral loads increase both transmission and mutation risk, and prevent administration of the required immunosuppressive/antineoplastic therapies [1]. Small molecule antivirals have not been formally validated for IC patients, who often have contraindications, and the convergent evolution of the Omicron variant of concern (VOC) has led to inefficacy of all the anti-Spike monoclonal antibodies (mAbs) authorized so far for both treatment or prevention, e.g. in the highly prevalent BQ.1.* sublineages [2]. The other rapidly spreading XBB.* and BF.7 sublineages are also highly resistant to anti-Spike mAbs [3]. Polyclonal plasma from individuals who are both vaccinated and have recovered from COVID-19 (VaxCCP) has more than ten times the antibody levels capable of neutralizing pre-Omicron variants as well as Omicron variants BA.1 through BA.4/5 [4, 5]. Polyclonal COVID-19 convalescent plasma (CCP) has thousands of distinct antibody specificities of different isotypes targeting SARS-CoV-2, including hundreds capable of SARS-CoV-2 higher affinity virus neutralization by interference with angiotensin converting enzyme 2 [6]. Approximately 800 diverse epitopes have been mapped to the SARS-CoV-2 genome with more than ten implicated important to neutralization [7]. High-titre pre-Omicron CCP contains Omicron neutralizing activity despite being collected before variant appearance [4, 5].

Given that CCP remains a recommended therapy for IC [1, 8, 9], we systematically reviewed recent primary research for neutralization results against BQ.1.1 and to a limited extent XBB.1 by plasma collected from vaccinated subjects with or without COVID-19 or after recent Omicron infection alone.

Methods

On 19 November 2022 we initially searched PubMed, medRxiv and bioRxiv for manuscripts reporting BQ.1.1 neutralization, using English language as a restriction. Search of bioRxiv with same keywords now yields 17 records of which only ten contained plasma viral neutralization data. Search of medRxiv produced three records which did not have BQ.1.1 neutralizations. PubMed retrieved three entries using (‘BQ.1.1’) and (‘neutralization’), one of which was focused on anti-Spike mAb alone [2] and the other two were duplicates from bioRxiv [10, 11]. Articles underwent evaluation for data extraction by two assessors (D.S. and D.F.) with disagreements resolved by third assessor (A.C.). Articles lacking plasma BQ.1.1 virus neutralizations were excluded. The process of study selection is represented in the PRISMA flow diagram (Fig. 1).

Fig. 1.

Fig. 1.

PRISMA flowchart for the current study. Number of records identified from various sources, excluded by manual screening, found eligible and included according to subgroup analyses.

The type of viral assay (live or pseudovirus), time interval to blood sample, GMT50, minimum and maximum neutralizing 50 % dilutional titre for WA-1 (pre-Alpha wild-type) and Omicron sublineages BQ.1.1, BA.4/5, BA.4.6, BA.2.75, XBB.1 and BF.7 and number out of total that neutralized Omicron were abstracted from study text, graphs and tables. Two studies (Wang [12] and Qu [10]) reported BQ.1 and those were separate cohorts in addition to BQ.1.1. Prism v. 9.4 (GraphPad Software, San Diego, CA, USA) was used for data analysis. While all manuscripts included neutralization data against WA-1, BQ.1.1, BA.4/5 and BA.2.75, only a subset of manuscripts included neutralization data for BA.4.6, XBB.1 and BF.7 which were assembled for relevance to present circulating variants. Historic early Omicron partial neutralization data on variants like BA.1 or BA.2 were excluded because of the full set data with BA.4/5 and BA.2.75.

We performed a geometric mean of the reported study cohort reported GMT50. Statistical significance between log10 transformed GMT50 was investigated using Tukey’s test. The multiple comparison test was a two-way ANOVA with Alpha 0.05 on log transformed GMT50. The log normal test was performed on WA-1, BQ.1.1, BA.4/5, BA.4.6, XBB.1 and BF.7 virus GMT50.

The percent of virus neutralizations used the individual study threshold in Table S1 (available in the online version of this article), to report the total number that were neutralized or not. In contrast the GM (GMT50) is a geomean of 5–23 patient cohorts extracted from the ten published studies and not from raw data that was not available on each sample dilutional titre virus neutralization. Two studies [13, 14] reported the median titre rather than the GMT50. Compiled data abstracted from the published studies is available in the supplementary dataset.

Results

Ten articles were included (Fig. 1) which contained virus neutralizations with WA-1, BQ.1.1, BA.4/5, BA.4.6, XBB.1 and BF.7, assessed with either live authentic SARS-CoV-2 or SARS-CoV-2 pseudovirus neutralization assays and represented data from 920 patients (Table S1). Qu et al. in the USA reported on Spring and Summer 2022 with BA.1 and BA.4/5 infections in two sampled cohorts with predominantly unvaccinated individuals, as well as a third cohort of healthcare workers after a single monovalent booster vaccination in the Fall of 2021 [10] (Table 1). Zou et al. in the USA in the Summer and Fall of 2022 sampled individuals who had already received three mRNA BNT162b2 vaccinations with or without previous COVID-19, both before and about 4 weeks after a fourth monovalent or bivalent vaccine booster vaccination [15]. Miller et al. also in the USA sampled both before the third vaccination dose and about 4 weeks after monovalent mRNA vaccination in the Fall of 2021, as well as with the fourth vaccine dose in the Summer or Fall of 2022, with either monovalent or bivalent booster vaccinations in Fall of 2022 in those with no documented COVID-19 [13]. Cao et al. in China investigated BQ.1.1 neutralizations from plasma of four cohorts after three doses of CoronaVac (Fall 2021) without COVID-19 or 2–12 weeks after BA.1, BA.2 and BA.5 infection [3]. Planas et al. in France evaluated GMT50 in plasma from individuals both 4 and 16 weeks after a third monovalent mRNA vaccine dose in the Fall of 2021 as well as 12 and 32 weeks after vaccine breakthrough BA.1/2 or BA.5 infection [14]. Davis et al. in the USA sampled after the third mRNA vaccine monovalent dose in the Fall of 2021 and also after either a fourth monovalent mRNA dose or a bivalent (wild-type +BA0.4/5) vaccine dose in the Summer and Fall of 2022 [11]. Kurhade et al. in the USA also compared GMT50 after the fourth monovalent vaccine dose or three mRNA doses with the fourth the bivalent dose without COVID-19 and also after bivalent boost with recent COVID-19 [16]. Wang et al. in the USA compared GMT50 after three vaccine doses, the fourth monovalent vaccine dose or three mRNA doses with the fourth the bivalent dose without COVID-19, and also after 2–3 vaccine doses and recent BA.2 breakthrough infection or 3–4 mRNA vaccine doses and recent BA.4/5 breakthrough infection [12]. Ito et al. in Japan compared breakthrough infections after BA.2 and BA.5 after 2–3 doses of mRNA vaccines in the Spring and Summer of 2022 [17]. Akerman et al. in Australia characterized neutralizing antibodies in four groups 1) sampling one to 3 months after three doses of mRNA vaccines with an Omicron infection in 2022; 2) sampling 3 months after four doses of mRNA vaccine; 3) sampling 6 months after three doses of mRNA vaccine and 4) sampling 3–6 months after last vaccine in a larger cohort who had the original WA-1 infection in early 2020 as well as three more doses of mRNA vaccine [18].

Table 1.

Synopsis of included studies, reporting plasma sources, epoch of sampling, region, time since vaccination/infection to plasma sampling, and sample size. The cohorts were split into four groups–1) boosted vaccinations and recent COVID-19 (VaxCCP), 2) boosted vaccines only without documented COVID-19 (Vax only) and 3) infection alone (CCP) or pre-boosted sampling before third or fourth vaccine dose (preVax)

Study

Vaccine and COVID-19 history at sample time

Group

Time period of plasma sampling

Geography

Sampling time mean or median (min-max)

Sample no.

Cao [3]

3×CorVac+BA0.1 inf

VaxCCP

Spring 2022

China

5–7 weeks post-hosp admit (42 weeks avg)

50

Cao [3]

3×CorVac+BA0.2 inf

VaxCCP

Summer 2022

China

3–11 weeks post-hosp admit (8 weeks mean)

39

Cao [3]

3×CorVac+BA0.5 inf

VaxCCP

Summer/Fall 2022

China

2–11 weeks (mean 5 weeks)

36

Zou [15]

4×BNT162b2+BTI

VaxCCP

Summer/Fall 2022

USA

4 weeks post-dose

20

Planas [14]

mRNAvac×3 +BA0.1/2 inf

VaxCCP

Spring/Fall 2022

France

32 weeks post-BTI BA.1/2

13

Wang [12]

2–3×mRNAvac+BA0.2 BTI

VaxCCP

Spring/Fall 2022

USA

2–23 weeks (mean 6 wk (3over 90 days))

14

Wang [12]

3–4×mRNAvac+BA0.4/5 BTI

VaxCCP

Summer/Fall 2022

USA

2–8 weeks (mean 4 weeks)

20

Kurhade [16]

3×mRNAvac+bivalent+BTI

VaxCCP

Fall 2022

USA

4 weeks post-with infection history

23

Ito [17]

2–3×mRNAvac+BA0.2 BTI

VaxCCP

Spring 2022

Japan

2–8 weeks

14

Ito [17]

2–3×mRNAvac+BA0.5 BTI

VaxCCP

Summer 2022

Japan

2–3 weeks

20

Zou [15]

3×BNT162b2+bivalent+BTI

VaxCCP

Summer/Fall 2022

USA

4 weeks post-dose

19

Akerman [18]

3×mRNA+bivalent

VaxCCP

Fall 2022

Australia

4–12 weeks post-BTI

29

Planas [14]

3×mRNAvac+BA0.1/2 inf

VaxCCP

Spring/Fall 2022

France

12 weeks post-BTI BA.1/2

16

Planas [14]

3×mRNAvac+BA0.5 inf

VaxCCP

Fall 2022

France

8 weeks post-BTI BA.5

15

Davis [11]

3×mRNAvac

Vax only

Fall 2021

USA

1–4 weeks post-boost

12

Kurhade [16]

4×mRNAvac

Vax only

Summer 2022

USA

4–12 weeks

25

Cao [3]

3×CorVac

Vax only

Fall 2021

China

4 weeks

40

Zou [15]

4×BNT162b2

Vax only

Summer/Fall 2022

USA

4 weeks post-dose

20

Planas [14]

3×mRNAvac

Vax only

Winter 2021/2022

France

16 weeks post-3rd dose

10

Wang [12]

3×mRNAvac

Vax only

Fall 2021

USA

2–12 weeks (mean 5 weeks)

14

Wang [12]

3×mRNAvac+monovalent

Vax only

Summer/Fall 2022

USA

3–4 weeks

19

Wang [12]

3×mRNAvac+bivalent

Vax only

Summer/Fall 2022

USA

3–4 weeks

21

Davis [11]

3×mRNAvac+monovalent

Vax only

Summer/Fall 2022

USA

10–15 weeks post-boost

12

Akerman [18]

4×mRNA

Vax only

Fall 2022

Australia

12 weeks

23

Akerman [18]

3×mRNAvac after 2020 WA-1

Vax only

Summer/Fall 2022

Australia

3–6 months

47

Kurhade [16]

3×mRNAvac+bivalent

Vax only

Fall 2022

USA

4 weeks post

29

Davis [11]

3×mRNAvac+bivalent

Vax only

Summer/Fall 2022

USA

2–6 weeks post-booster (8 no vacc. 10 no infection)

12

Qu [10]

3×mRNAvac

Vax only

Fall 2021

USA

2–13 weeks

15

Zou [15]

3×BNT162b2+bivalent

Vax only

Summer/Fall 2022

USA

4 week post-dose

18

Planas [14]

3×mRNAvac

Vax only

Fall/Winter 2021

France

4 weeks post-3rd dose

18

Miller [13]

3×BNT162b2

Vax only

Fall 2021

USA

2–4 weeks

16

Miller [13]

3×mRNA+monovalent

Vax only

Spring/Fall 2022

USA

2–9 weeks

18

Miller [13]

3×mRNA+bivalent

Vax only

Fall 2022

USA

2–3 weeks

15

Qu [10]

BA.4/5 inf (17-unvac)

CCP

Summer 2022

USA

not stated

20

Qu [10]

Hosp BA.1 (6-unvac;5-2×mRNAvac)

CCP

Spring 2022

USA

1 week post-hospitalization

15

Zou [15]

3×BNT162b2+BTI

preVax with BNT162b

Summer/Fall 2022

USA

preboost with BNT162b (6–11 months post-last dose)

20

Zou [15]

3×BNT162b2+BTI

preVax with bivalent

Summer/Fall 2022

USA

preboost with bivalent (6–11 months post-last dose)

19

Zou [15]

3×BNT162b2

preVax with bivalent

Summer/Fall 2022

USA

preboost with bivalent (6–11 months post-last dose)

18

Zou [15]

3×BNT162b2

preVax with BNT162b

Summer/Fall 2022

USA

preboost with BNT162b (6–11 months post-last dose)

20

Akerman [18]

3×mRNA

preVax

Fall 2022

Australia

preboost (6 months)

47

Miller [13]

2×BNT162b2

preVax with BNT162b

Fall 2021

USA

preboost (6–11 months post-last dose)

16

Miller [13]

3×mRNA

preVax with bivalent

Fall 2022

USA

preboost with bivalent (6–11 months post-last dose)

15

Miller [13]

3×mRNA

preVax with monovalent

Spring/Fall 2022

USA

preboost with monovalent (6–11 months post-last dose)

18

BTI, Breakthrough Infection; Vax, Vaccination; VaxCCP, Hybrid vaccination and recent COVID-19.

These diverse cohorts were assembled into four groups, 1) plasma after both 2–4 vaccine doses and COVID-19 (VaxCCP); 2) plasma from subjects after administration of 3–4 vaccine doses (i.e. boosted), but either self-reported as COVID-19-naïve or anti-nucleocapsid negative (Vax); and 3) Omicron infection without vaccination (CCP) as well as participants sampled 6 to 11 months after previous vaccine dose and before the booster vaccination (preVax). Boosted VaxCCP neutralized BQ.1.1, XBB.1 and BF.7 with approximately three times the dilutional potency of the Vax-only or 2–6 times preVax groups for all viral variants (Table 2 and Fig. 2). Importantly, while there was a 19-fold reduction in neutralization by boosted VaxCCP against BQ.1.1 compared to WA-1, more than 90 % of the boosted VaxCCP samples neutralized BQ.1.1 as well as XBB.1 and BF.7 (Table 2 and Fig. 2c). The neutralization thresholds varied in each study with the live virus assays 20–30 and pseudovirus 20–150 (Table S1). Three cohorts within the boosted VaxCCP group were below at 90 % neutralization with one sampled late, 8 months after BA.1/2 breakthrough infection [14] and the other two from a single study after BA.2 and BA.5 (Tables S2 and S3). Except for the GM (GMT50) against XBB.1 at 78, the other viral variant neutralizations were in the same range as pre-Alpha CCP neutralizing WA-1 (i.e. 311) [4]. By comparison the large randomized clinical trial which effectively reduced outpatient COVID-19 progression to hospitalizations had a GMT50 of 60 for WA-1 with pre-Alpha CCP [19]. Boosted Vax at 3–4 doses without COVID-19, showed GM (GMT50) of 118 for BQ.1.1, with only 6 of 23 cohorts over 90 % neutralizations, for 79 % overall (i.e. 326 of 414 individuals). Four separate studies [10, 11, 13, 16] characterized BQ.1.1 virus neutralizations with plasma after the new bivalent (wild-type +BA0.4/5) mRNA vaccine booster in the Fall of 2022, with 88 % (103 of 117 samples) neutralization activity within 4 weeks of bivalent booster (Table S3).

Table 2.

GM (GMT50) of plasma from three different sources against recent Omicron sublineages

Neutralization virus

WA-1

BQ.1.1

BA.4/5

BA.4.6

BA.2.75

XBB.1

BF.7

VaxCCP (study cohorts)

12

16

14

7

9

9

4

GM (GMT50)

5876∗

314

987

346

303

78

204

Fold reduction from WA-1

ref

19

6

17

19

75

32

Samples tested

294

237†

328

135

231

125

148

Samples neutralizing

285

221

326

135

230

111

146

Percent neutralizing

97

93

99

100

100

89

99

Boosted Vax (study cohorts)

19

23

19

10

14

10

7

GM (GMT50)

3766

118

346

126

107

52

357

Fold reduction from WA-1

ref

32

11

30

35

72

12

Samples tested

384

414†

384

206

261

217

158

Samples neutralizing

383

326

363

191

231

125

149

Percent neutralizing

100

79

95

93

89

58

94

CCP only or preVax (study cohorts)

10

12

10

7

9

5

5

GM (GMT50)

870

47

96

103

57

23

110

Fold reduction from WA-1

ref

19

9

8

15

38

9

Samples tested

184

220

184

136

162

101

84

Samples neutralizing

182

139

144

104

104

50

63

Percent neutralizing

99

63

78

76

64

50

75

*

Pre-Alpha CCP from 27 different studies had a GM (GMT50) of 311 from 707 samples with 315 or 45 % neutralizing omicron BA.1 [4].

Percent neutralizations after CoronaVac and Omicron COVID-19 (VaxCCP) and Vax in the paper by Cao et al. could not be retrieved from the manuscript. So 237 samples from the six other cohorts were used for percent neutralization.

CCP, COVID-19 Convalescent Plasma; GM(GMT50), Geometric mean of Geometric mean titres at 50% inhibiton; Vax, Vaccination; VaxCCP, Hybrid vaccination and recent COVID-19.

Fig. 2.

Fig. 2.

Neutralizing GM (GMT50) against WA-1, BQ.1.1, BA.4/5, BA.4.6, BA.2.75, XBB, BF.7. (a) VaxCCP and (b) boosted Vax plasma without COVID-19. Number above the study points are geometric mean of the individual studies GMT50 with standard deviation for error bars. The fold reduction (FR) are below data study points, and number of individual studies for each variant virus are next to and above x-axis. Geomeans statistically significant in difference by multiple comparison in Tukey’s test are indicated. (c) The percent of total samples within each study cohort which neutralized Omicron BQ.1.1 graphed in increasing percentages on left y-axis with the total number of individual samples tested on the right y-axis. The x-axis numbers are the months after either recent COVID-19 or vaccination that sample was collected. The percent neutralizations after CoronaVac and Omicron COVID-19 (VaxCCP) in three cohorts and Vax in one cohort in the paper by Cao et al. could not be retrieved from the manuscript.

Many studies performed virus neutralizations on samples drawn before the third or fourth vaccine dose which were 6 to 11 months after last vaccine dose or preVax. The GM (GMT50)’s for BQ.1.1 and BA.2.75 for preVax were about six times reduced compared to VaxCCP even though the fold reductions were similar (Fig. 3, Table 2). In agreement with lower GM (GMT50) for neutralizations was the low percent neutralizing BQ.1.1 (63 %), XBB.1 (50 %), and BF.7 (75 %) at 6 to 11 months after vaccination (Fig. 3, Tables 2 and S3).

Fig. 3.

Fig. 3.

Geometric mean neutralizing titres (GMT50) against WA-1, BQ.1.1, BA.4/5, BA.4.6, BA.2.75, XBB, BF.7. (a) plasma Omicron CCP alone or preVax-6 to 11 months after last vaccine dose sampled in 2021 or 2022. Number above the study points are geometric mean of the individual studies GMT50 with standard deviation for error bars. The fold reduction (FR) are below data study points, and number of individual studies for each variant virus are next to and above x-axis. GM (GMT50) statistically significant in difference by multiple comparison in Tukey’s test are indicated. (b). The percent of total samples within each study cohort which neutralized Omicron BQ.1.1 graphed in increasing percentages on left y-axis with the total number of individual samples tested on the right y-axis. The x-axis numbers are the months after either recent COVID-19 or vaccination that sample was collected. UK is unknown and 6–11 means more than 6 months. Prior BTI is a previous breakthough infection months before the preVax sample.

High levels of antibodies in donor plasma from VaxCCP neutralizes more than 93 % of BQ.1.1, with XBB.1 at 89 %, only at 4–8 % drop from WA-1 (Fig. 4). Recently collected plasma in the fall of 2022 i.e.-preVax, after a 6 month window from those boosted vaccinees without prior documented COVID-19 had a 30–40 % reduction from WA-1 in neutralization percent for BQ.1.1 at 63 % and XBB.1 at 50 %. Vaccination with no documented COVID-19 fell 21 % from WA-1 with BQ.1.1 at 79 % with XBB.1 at 58 % far larger than the small less than 10 % drop in any study defined neutralizations. For historic comparison we added 309 qualified donors in the upper 60 % deciles of antibody levels of all donors with preAlpha or Alpha CCP which neutralized 100 %. When looking at the geometric mean of 58 for the 309 donors in the large randomized clinical trial effective reduction of hospitalization in outpatient COVID-19, all the GM (GMT50) from the studies analysed here were above except for preVax after 6 months for BQ.1.1 and Xbb.1. The GM (GMT50) was more than ten times higher for WA-1 neutralization. Vax GM (GMT50) for WA-1 was 60 times higher the early outpatient RCT with VaxCCP being 100 times higher for WA-1. Both virus neutralizations with VaxCCP for BQ.1.1 and XBB.1 were higher than the early patient RCT WA-1 neutralization with GM (GMT50) of 314 and 78 respectively.

Fig. 4.

Fig. 4.

Plasma neutralizing percent and potency, (a) Total number of individual samples from cohorts in the three groups above study defined neutralization thresholds from Table 2 for WA-1, BQ.1.1 and XBB.1 graphed with pre-Alpha and Alpha CCP qualified donors (n=309 unique donors) effective at reducing hospitalizations in a randomized control trial treating unvaccinated outpatients. Percent virus neutralization and number in group shown above bars. (b) Virus neutralization GM (GMT50) with standard deviation from Table 2 from the three groups graphed compared to pre-Alpha and Alpha CCP qualified donors (n=309 unique donors). In the CCP or preVax WA-1 (n=10 studies), BQ.1.1 (n=12 studies), XBB.1 (n=5 studies); Vax WA-1 (n=19 studies), BQ.1.1 (n=23 studies), XBB.1 (n=10 studies); Vax CCP WA-1 (n=12 studies), BQ.1.1 (n=16 studies), XBB.1 (n=9 studies). GM (GMT50) values are above the bars.

Five studies used the lentiviral pseudovirus assays, with diverse Spike proteins cloned in, while the other four were live virus assays using different cell types (Table S1). Notably, Planas et al. employed the IGROV-1 cell type for better growth of Omicron sublineages [14]. While the single study fold reductions (FR) and percent neutralizations normalize the results between studies, the GMT50 can vary between studies even amongst the live authentic viral neutralization studies (e.g. mNeonGreen reporter assays versus cytopathic effects) [15, 16]. We sorted the live authentic viral neutralizations from the pseudoviral neutralizations, also plotting the minimums and maximums (Figs 1-3). In general, the live authentic SARS-CoV-2 neutralization assays for VaxCCP appeared to have similar antibody neutralization levels, with the single study by Cao et al. [3] employing lentiviral pseudovirus with lower dilutional titres. In contrast, the GMT50 achieved with pseudoviral assays in the boosted Vax without COVID-19 appeared slightly higher than the ones achieved with authentic virus.

Discussion

The FDA deemed CCP safe and effective for both immunocompetent and IC COVID-19 outpatients [8, 9, 20], and further extended its authorized use in the IC patient population in December 2021 [9, 20], at a time when oral antiviral therapy promised a no transfusion outpatient solution and many anti-Spike mAbs were still effective.

Up until the present, CCP remained a backup bridge for IC patients, durable against the changing variants and as a salvage therapy in seronegative IC patients. With the recent advent of Omicron XBB.* and BQ.1.* defeating the remaining anti-Spike mAbs, boosted VaxCCP, recently collected within the last 6 months of either a vaccine dose or SARS-CoV-2 is likely to be the only viable remaining passive antibody therapy for IC patients who have failed to make antibodies after vaccination and still require B-cell depleting drugs or immunosuppressive therapy. In a literature review of CCP from diverse individual VOC waves (pre-Alpha, Alpha and Delta) as well as boosted vaccinees and VaxCCP up to BA-1, VaxCCP showed increasingly higher virus neutralization titres than Vax or CCP against Omicron4. Here we demonstrate using plasma virus neutralizations assays from the recent literature that virus neutralizations are up almost 100-fold from pre-Alpha neutralizations from an effective outpatient clinical trial (Fig. 4) in the context of 75-fold drop in recent VaxCCP from WA-1 neutralizations to XBB.1. While for some there is not a clear relationship between in vitro virus neutralizations and clinical outcomes for CCP, the monoclonal antibody in vitro virus neutralizations were used to inform clinical decision resulting in revoking authorization in the USA. While large populations are currently antibody positive from vaccinations and COVID-19, the IC populations often do not make antibody responses to either Vax or infection and these are similar to the unvaccinated seronegative population in the early pandemic for which many outpatient RCT were effective [21].

The accelerated evolution of SARS-CoV-2 VOCs has created the problem that the pharmaceutical development of additional mAbs is not worth the effort and cost given their expected short useful clinical life expectancy, so the anti-Spike mAb pipeline has remained stuck in 2022. In those vaccinated with a last dose more than 6 months prior to sample collection, both the neutralization percent and neutralizing antibody titres fell further, compared to the recently boosted VaxCCP group. Four studies (Planas [14], Zou [15], Cao [3] and Kurhade [16]) had directly comparative cohorts in the three groups which increases the robustness reduction in neutralizations with the vaccine only, or more than 6 months to last vaccine or infection event, compared to VaxCCP. The main limitation of our systematic review is the small number of studies reporting virus neutralization with BQ.1.1 with most available as pre-preprints without peer-review yet. However, we note that peer-review itself does not change GMT50 or neutralization numbers and the authors of these papers have considerable expertise in the topic.

Boosted VaxCCP has full potential to replace anti-Spike mAbs for passive antibody therapy of IC patients against recent Omicron sublineages, in the meanwhile polyclonal IgG formulations can be manufactured. VaxCCP qualification in the real-world will likely remain constrained on high-throughput serology, whose correlation with GMT50 is not perfect [22, 23]. Nevertheless, the very high prevalence (93 %) of Omicron-neutralizing antibodies and the high GM (GMT50) in recently boosted VaxCCP reassure about its potency, and further confirm that exact donor-recipient VOC matching is dispensable. The upper 10 % of pre-Alpha CCP neutralized the future Omicron VOC a year later in two studies [5, 24]. Overall, our findings indicate boosted VaxCCP has a diverse, robust polyclonal antibody source for virus neutralization in IC patients.

Supplementary Data

Supplementary material 1

Funding information

This work was supported by the U.S. Department of Defence’s Joint Programme Executive Office for Chemical, Biological, Radiological and Nuclear Defence (JPEO-CBRND), in collaboration with the Defence Health Agency (DHA) (contract number: W911QY2090012) (DS), with additional support from Bloomberg Philanthropies, State of Maryland, the National Institutes of Health (NIH) National Institute of Allergy and Infectious Diseases 3R01AI152078-01S1 (DS, AC), NIH National Centre for Advancing Translational Sciences U24TR001609-S3 and UL1TR003098.

Author contributions

D.J.S.: data extraction, table curation and design, and writing original draft; D.F.: conceptualization, data access and verification and manuscript revision; M.F.: data access and verification and manuscript revision; J.W.S.: data access and verification and manuscript revision, M.J.J. and A.C.: manuscript revision.

Conflicts of interest

D.J.S. reports AliquantumRx Founder and Board member with stock options (macrolide for malaria), Hemex Health malaria diagnostics consulting and royalties for malaria diagnostic test control standards to Alere- all outside of submitted work. A.C. reports being part of the scientific advisory board of SabTherapeutics and has received personal fees from Ortho Diagnostics, outside of the submitted work. All other authors report no relevant disclosures.

Footnotes

Abbreviations: BTI, breakthrough infection; CCP, COVID-19 convalescent plasma; FR, fold reduction; GM (GMT50), geometric mean of geometric mean titres with 50% virus inhibition; IC, immunocompromised; mAb, monoclonal antibody; Vax, vaccination; VaxCCP, plasma from both vaccinated and COVID-19 convalescent subjects; VOC, variant of concern.

Three supplementary figures and three supplementary tables are available with the online version of this article.

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Supplementary material 1

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