The accelerated SARS-CoV-2 evolution under selective pressure by massive deployment of neutralizing antibody-based therapeutics is a concern with potentially severe implications for public health. Escape variants associated with mAb and COVID-19-convalescent plasma (CCP) therapy manifest different type of mutations. For monoclonal antibodies (mAb), most mutations are single amino acid replacements in the receptor binding domain (RBD) domain, while most variants eliciited in patients treated with CCP exhibited amino acid deletions. In fact, it is noteworthy that RBD mutations were relatively rare in CCP escape variants.
Escape from nAb-based therapeutics provides a crucial demonstration that these immune therapies target protective antigens, which the pathogen actively evades. Hence, the emergence of neutralizing-resistant variants in individuals receiving mAb and CCP provides powerful evidence for their antiviral activity. This evidence is independent of reduction in viral load, which has been reported with mAbs given early in disease but have been an inconsistent finding in randomized controlled trials (RCT) of CCP for COVID-19 [50].
Obtaining the frequencies for this phenomenon from case series is not possible due to the high risk of selection biases, which would yield unrealistically high frequencies. In contrast, RCTs with their control groups are the suggested reference. With bamlanivimab, resistance was reported in 7% of patients, regardless of dosage (700/2800/7000 mg) versus <1% in patients treated with placebo [22,29]. Apart from registration trials, the largest case series to date evaluated the impact of mAbs on the nasopharyngeal (NP) viral load and virus quasi-species of mAb-treated patients using single-molecule real-time sequencing after bamlanivimab alone (4 patients), bamlanivimab/etesevimab (23 patients) and casirivimab/Imdevimab (5 patients) [32]. To date a single case of immune escape has been reported for the non-overlapping REGN-COV2 cocktail, and accordingly hamster models and clinical trials showed no emergence of variants [51]. Since mAb therapy by definition targets only a single epitope within the RBD, it is unsurprising that escape mutations observed after in vitro and in vivo selection by these mAbs were single amino acid substitutions localized almost exclusively to the RBD, as expected from in vitro studies with single mAb, but largely prevented by non-overlapping mAb cocktails [52].
In contrast to mAb therapeutics, immune escape under CCP has not been investigated in RCTs. Hence, evidence exclusively stems from case series and case reports [53] and is further complicated by exposure to multiple CCP units from different donors, each one having a polyclonal response at differing titers and affinity. Unfortunately, nAb titers were very rarely determined or reported, precluding correlation between the emergence of resistance and subneutralizing CCP doses. Overall, it seems that escape variants from CCP selection have not been reported as commonly nor emerged as fast, e.g., none of the eight recipients of hematopoietic stem cell transplantation or chimeric antigen receptor T (CART) lymphocytes who were treated with CCP and tested SARS-CoV-2-positive for 2 months showed significant mutations compared to the original strain [54]. A review of the spike protein changes associated with resistance after CCP therapy reveals that most of them had in-frame amino acid deletions in a flexible region that is partially solvent exposed and forms a β strand: plasticity may contribute to the structural permissibility of the identified deletions. The NTD is a flexible region that can be affected by immune escape via either insertions (causing additional glycosylation sites [12]) or recurrently deleted regions (RDR) ΔHV69–70 (RDR1), ΔLGVY141–144 and ΔD146 (RDR2), ΔI210 (RDR3) and ΔAL243–244 (RDR4) [55]: RDR1, RDR2 and RDR4 correspond to NTD loops N2, N3 and N5, whereas RDR3 falls between N4 and N5.
Deletions of amino acids from a protein structure generally result in greater structural changes than single amino acid changes, since these reduce the size of the protein and can trigger changes that propagate through the whole structure. Furthermore, the mechanism for the emergence of deletion variants appears to be very different from the single amino acid changes that are frequent from error-prone RNA replication and could involve deletions from RNA editing. Since CCP targets a large number of epitopes in the spike protein while mAbs target a single epitope, these molecular differences parallel what is expected from their respective selection pressures in the sense that escape from polyclonal preparations requires larger antigenic structural changes than escape from mAbs. In contrast to escape mutations selected for by mAb therapy, CCP selection yields point mutations throughout the spike protein. This reflects the vast antigenic surface area covered by the polyclonal antibodies within CCP. Escape mutations would be theoretically selected for on the basis of the most potent antibodies present in a particular CCP unit, which may vary markedly from donor to donor, which could explain the generally divergent evolution of SARS-CoV-2 in the presence of CCP. However, residues 141–144 and 243–244 are the sites of mutations or deletions in several cases, indicating these sites may offer effective escape from CCP derived from many donors, possibly by triggering a large-scale conformational rearrangement, as discussed above. As RBD binding antibodies are often neutralizing via ACE2 receptor occlusion, it is interesting that only 23% of CCP case studies identified the escape mutations within the RBD. This suggests that antibody binding to other sites on the spike protein may have additional mechanisms of neutralization (i.e., by preventing conformational change after ACE2 engagement), or that additional antibody mediated immune responses (e.g., ADCC) are equally important as direct neutralization to the antiviral response to SARS-CoV-2.
Nothing can be inferred about the fitness of an emerging mutant in the absence of selective pressure, but it is of interest that one variant with the E484K mutant that emerged after bamlanivimab therapy was able to infect multiple household contacts [27]. In vitro, several mutants showed similar infectivity to the wild-type strain but resistance to different CCP donors [36]. In one instance of immune escape associated with CCP, a variant with D796H mutation manifested modestly reduced sensitivity to neutralization by CCP that was associated with reduced infectivity, which was only partly compensated by ΔHV69–70 [36]. Even if immune escape in registration trials has been a rare phenomenon, it should be considered that in real-world practice, mAbs targeting of the SARS-CoV-2 spike protein is being reserved for use in high-risk (immunocompromised) patients. Considering the huge size of the pandemic, the likelihood of immune escape becomes relevant, raising the possibility that rare variants with enhanced fitness could drive the next pandemic waves. Notably, several mutations have recurred in VOC and VOIs (e.g., E484K found in Beta and Gamma, E484Q found in Delta, or ΔLHR244–246 [41] found in VOI lambda), raising the possibility that such variants emerged during the treatment of patients (iatrogenic variants), but such inference will likely remain very hard to prove. E406W mutation, which causes resistance to REGN-COV-2, has never been reported in GISAID, and other E406 mutations remain exceedingly rare (worldwide, 318 cases of E406Q, 41 cases of E406D, and 2 cases each from USA for E406G, E406A, E406K, and 1 case of E406V out of 4,410,787 sequences deposited in GISAID as of 13 December 2021). The same is true for sotrovimab resistance, with E340 and P337 mutations exceedingly rare to date (E340K in 159 sequences worldwide, P337R in 18, P337L in 195, E340A in 105, E340G in 36, P337H in 44, P337T in 90) (source: Outbreak.info). Similarly, Q493R, which causes resistance to bamlanivimab + etesevimab, had only been reported in 244 sequences and Q493K in 138 sequences, before becoming one of the hallmark mutations of VOC Omicron. L452R, which causes resistance to regdanvimab, also became prevalent first in VOI Epsilon and then in VOC Delta (source: Outbreak.info). Lack of fixation of those mutations facilitates the imputation that these require mAb selective pressure and/or effective infection control techniques in the care of those patients to prevent spill over to the general population.
Age/Sex (Identifier) | Condition | Antiviral Treatments | SARS-CoV-2 Strain | Spike Mutations | First Detected at Day | Outcome | Ref |
---|---|---|---|---|---|---|---|
47/F | diffuse large B cell lymphoma (rituximab plus polychemotherapy) | n.a. | B.1.1.163 | Y453F, ΔHV69–70, S50L, ΔLGVY141–144, T470N, and D737G | 120 | negative PCR on day 132 | Bazykin et al. [7] |
61/F | diffuse large B cell lymphoma stage IVB | remdesivir for 10 days, high-dose steroids for 7 days | B.1.1.401 | V3G, S50L, N87S, A222V, ΔLTTRTQLPPAYTN18–30 and ΔLGVY141–144 | 164 | negative PCR at day 197 | Borges et al. [45] |
3/F (1) | B-cell acute lymphoblastic leukemia (chemotherapy) | n.a. | 20C | silent I410I (22792:C/A) | 27 | negative PCR at day 91 | Truong et al. [37] |
2/M (3) | B-cell acute lymphoblastic leukemia | remdesivir for 5 days | 20C | V483A and E484Q | 139 | negative PCR at day 196 | |
V70P, ΔLGV141–143, N440K | 162 | ||||||
37/F | advanced HIV and antiretroviral treatment failure | dexamethasone | B.1.1.273 | E484K | 6 | negative at day 233 | Karim et al. [46] |
K417T and F490S | 71 | ||||||
L455F and F456L | 106 | ||||||
D427Y and N501Y | 190 | ||||||
80/M | chronic lymphocytic leukemia and hypogammaglobulinemic | remdesivir days 213–230, REGN-COV-2 day 265 | B.52 | L179 | 58 | negative PCR day 311 | Kavanagh Williamson et al. [47] |
S255F, S477N, H655Y, D1620A, ΔHV69–70 | 155 | ||||||
40/M | autologous hematopoietic stem cell transplant due to a diffuse large B-cell lymphoma | IVIg | B.1.128 | ΔLGV141–143 → ΔLGVY141–144 | negative PCR on day 196 | Mendes-Correa et al. [44] | |
n.a./n.a. | transplant recipient | remdesivir | n.a. | S13I, T95I, E484G, F490L, ΔLGVY141–144, ΔLHRS244–247, and ΔSPRRARSV680–687 | n.a. | n.a. | Weigang et al. [48] |
n.a./n.a. | 18 B-cell non-Hodgkin lymphoma | 44% CCP 37% remdesivir |
n.a. | n.a. | requested | n.a. | Lee et al. [49] |
This entry is adapted from the peer-reviewed paper 10.3390/ijms23010029