Abstract
Prevention of infection and propagation of SARS-CoV-2 is of high priority in the COVID-19 pandemic. Here, we describe S-nitrosylation of multiple proteins involved in SARS-CoV-2 infection, including angiotensin converting enzyme 2 (ACE2), the receptor for viral entry. This reaction prevents binding of ACE2 to the SARS-CoV-2 Spike protein, thereby inhibiting viral entry, infectivity, and cytotoxicity. Aminoadamantane compounds also inhibit coronavirus ion channels formed by envelope (E) protein. Accordingly, we developed dual-mechanism aminoadamantane nitrate compounds that inhibit viral entry and thus spread of infection by S-nitrosylating ACE2 via targeted delivery of the drug after E-protein channel blockade. These non-toxic compounds are active in vitro and in vivo in the Syrian hamster COVID-19 model, and thus provide a novel avenue to pursue therapy.
Graphical Abstract
Introduction
The process of SARS-CoV-2 infection first involves binding of the viral Spike protein to a cell surface receptor, which has been shown to be ACE21. Viral entry into cells can be accomplished by fusion of the viral envelope (E) protein, located on SARS-CoV-2 near the Spike protein, to facilitate fusion with the cell surface, or endocytosis with subsequent envelope fusion to endosomal membranes2–4. We reasoned that using the E protein viroporin channel to target a molecular warhead to the ACE2 receptor to inhibit interaction with the Spike protein could yield a novel mechanism for drug action to treat COVID-19.
Along these lines, we built upon our experience in developing the aminoadamantane drug, memantine, as an FDA-approved treatment for Alzheimer’s disease, and synthesized a number of additional compounds with improved efficacy5–9. These new chemical probes, termed aminoadamantane nitrates, offer dual-allosteric inhibition of the ion channel associated with the N-methyl-d-aspartate (NMDA)-type of glutamate receptor in the brain, with the aminoadamantane moiety providing channel block as well as targeted delivery of a nitric oxide (NO)-related group to S-nitrosylate and thus further inhibit the receptor. Moreover, these aminoadamantane nitrates have displayed no untoward side effects, such as hypotension or other NO-associated actions, in two-species toxicity studies5–9. Intriguingly, aminoadamantane drugs like amantadine and memantine were originally developed as anti-viral agents because they also block the ion channel found in the envelope of multiple viruses, including influenza and the β-coronaviruses, and anecdotal reports in humans suggest that they may possibly offer some efficacy for SARS-CoV-2 but definitive data are lacking2,3,10–14. Coupled with the facts that SARS-CoV and SARS-CoV-2 have also been shown to be susceptible to NO, in part by inhibiting their protease and replication cycle15, and NO-based therapies have shown promise in human clinical trials for COVID-19 treatment16, we postulated that the new aminoadamantane nitrate drugs might provide mechanistic information on the mode of action of NO against SARS-CoV-2 and offer improved anti-viral activity. Indeed, we show here that the aminoadamantane moiety can block the ion channel in the envelope of SARS-CoV-2 to provide a guided missile to target a therapeutic warhead to ACE2 and thus prevent interaction with the nearby Spike protein. Accordingly, we demonstrate that the viral receptor, ACE2, can be S-nitrosylated by NO-related species generated by the nitro adduct of the aminoadamantane nitrate compounds to inhibit viral entry.
Results
S-Nitrosylated ACE2 inhibits binding to SARS-CoV-2 Spike protein.
Initially, we investigated the molecular mechanism whereby NO-related species might inhibit SARS-CoV-2 activity. As assessed by biotin-switch assay, we found that the host cell membrane protein receptor for SARS-CoV-2, ACE2, and a protease that cleaves the viral Spike (S) protein, transmembrane serine protease 2 (TMPRSS2), both of which are necessary for viral entry and infectivity1,17, could be S-nitrosylated by the physiological small molecule NO donor and transnitrosylating agent S-nitrosocysteine (SNOC) (Fig. 1a–c). Interestingly, multiple cysteine residues have been shown to be of importance in ACE2 and TMPRSS2 activity, so S-nitrosylation might be expected to disrupt their activity18,19.
We focused on S-nitrosylation of ACE2 (forming SNO-ACE2), reasoning that this nitrosylation reaction might prevent binding of SARS-CoV-2 S protein to ACE2, thus inhibiting viral infection. To test this premise, we exposed HeLa cells stably expressing human ACE2 (HeLa-ACE2) to SNOC and assessed SNO-ACE2 formation by biotin-switch assay. To evaluate binding of the S protein to these HeLa-ACE2 cells, we then incubated the cells with purified recombinant SARS-CoV-2 Spike protein (S1 + S2). Since NO dissipates very quickly from SNOC (<5 minutes at neutral pH), and Spike protein was added sequentially after this period, we could rule out the possibility of direct S-nitrosylation of Spike protein by SNOC under these conditions. We found that the formation of SNO-ACE2 was stable for at least 12 h (Extended Data Fig. 1). The receptor binding domain (RBD) in the S1 subunit of the SARS-CoV-2 Spike glycoprotein binds to ACE2 expressed on the surface of host cells, while the C-terminal S2 membrane anchoring subunit functions to translocate virus into host cells19,20. After preincubation of HeLa-ACE2 cells with SNOC, we found significantly decreased binding of purified S protein to HeLa-ACE2-cells (Fig. 1d, e), consistent with the notion that the cysteine residue(s) susceptible to S-nitrosylation in ACE2 affected S protein binding.
Human ACE2 protein contains eight cysteine residues, six of which participate in formation of three pairs of disulfide bonds, and the remaining two (Cys261 and Cys498) are present as free thiols (or thiolates) (Extended Data Fig. 2a)19 and thus potentially available for S-nitrosylation via reversible nucleophilic attack on a nitroso nitrogen to form an SNO-protein adduct21. Accordingly, we performed site-directed mutagenesis of these cysteine residues in ACE2 and found that C261A, C498A, or C261A/C498A mutation significantly inhibited SNOC-mediated S-nitrosylation on biotin-switch assays, consistent with the notion that these two cysteine residues are targets of S-nitrosylation (Extended Data Fig. 2b, c). Moreover, mass spectrometry confirmed the presence of S-nitrosylated ACE2 at Cys261 and Cys498 after exposure to SNOC (Extended Data Fig. 2d).
SNO-ACE2 destabilizes dimerization and Spike protein binding.
Notably, these S-nitrosylation sites on ACE2 are located near the collectrin-like domain (CLD) region rather than the Spike protein-binding domain region (Extended Data Fig. 3a). This suggests that S-nitrosylation may affect the conformation of ACE2 protein at some distance from the S-nitrosylated cysteine residue(s) to diminish binding of ACE2 to trimeric S protein19,20,22. Accordingly, explicitly solvated, all-atom molecular dynamics simulations of the S-nitrosylated-ACE2/RBD complex in plasma membrane show that the distance between each S-nitrosylated ACE2 protomer’s center of mass is overall much longer and more broadly distributed than in simulations of wild-type (WT) ACE2 dimer (Extended Data Fig. 3a, b)22. This behavior indicates a certain extent of destabilization of the dimer interface imparted by S-nitrosylation, particularly of C498. Specifically, at the beginning of the simulations, the S-nitrosylated-ACE2/RBD model displays a hydrogen bond between Q175A and Q139B, which is then interchanged with D136B (Extended Data Fig. 3c). This is the only interaction between the peptidase domains (PD) of the two protomers, as also reported for the initial cryo-EM structure23. Importantly, over the course of our simulations, this interaction was progressively lost (Extended Data Fig. 3d), leading to partial disruption of the PD dimeric interface and transient detachment of the two protomers. Therefore, we hypothesize that the addition of S-nitrosylation at the side chain of C498, which is located in the vicinity of Q175, could be sufficient to induce rearrangement in the packing of secondary structural elements of this region, leading in turn to the disruption of the only point of contact between the two PDs of ACE2. The loss of this contact may potentially trigger a further destabilization at the level of the dimeric interface between the neck domains. Alteration of ACE2 dimer stability has the potential to interfere with the SARS-CoV-2 Spike binding24, thus abrogating infection.
Screening aminoadamantane nitrate compounds against SARS-CoV-2 infection.
Next, we examined the effect of aminoadamantane nitrate compounds on SARS-CoV-2 entry into cells, causing infection. Aminoadamantanes have been reported to directly bind to the viroporin ion channel formed by the SARS-CoV-2 envelope (E) protein10,25,26. Therefore, we screened our series of aminoadamantane and nitro-aminoadamantane compounds6–8 as potential therapeutic drugs against SARS-CoV-2 — these latter chemical probes might be expected to bind to the viral channel, thus targeting S-nitrosylation to ACE2 to inhibit its interaction with Spike protein and thus viral entry. Specifically, we tested in a masked fashion the efficacy against live SARS-CoV-2 in HeLa-ACE2 cells of aminoadamantanes (memantine, blindly coded as NMT1, and amantadine/NMT4) and aminoadamantane nitrate compounds (NMT2, NMT3 and NMT5-NMT9) (Fig. 2, Extended Data Fig. 4; full data set shown in Supplementary Data Set 1). As positive controls, we used remdesivir, apilimod, and puromycin (Supplementary Data Set 1)27,28. In determining the therapeutic potential of these compounds, we considered the selectivity index (SI) that compares a compound’s half-maximal non-specific cytotoxicity (CC50) in the absence of infection to its half-maximal effective antiviral concentration (EC50) (CC50/EC50) (Supplementary Data Set 1). The SI can be considered an in vitro indicator of therapeutic index and ideally would approach 10. The aminoadamantane compounds alone (amantadine and memantine) offered no efficacy, and thus were not studied further. In contrast, several of the aminoadamantane nitrate compounds offered some degree of protection from infection. However, NMT6 and NMT8 may have done this simply by killing the host cells irrespective of infection, as evidenced by its off-target killing of uninfected cells in the live/dead assay (Fig. 2, Supplementary Data Set 1). Among the 7 aminoadamantane nitrate compounds tested, NMT5 displayed the best combination of EC50 and CC50 (SI = 9.2) with an EC50 for protection against SARS-CoV-2 of 5.28 μM (Fig. 2, Supplementary Data Set 1); this concentration of compound is well within the micromolar amounts attainable in human tissues at well-tolerated doses, as tested in two animal species6–9,29. Additionally, NMT3 (also known as NitroSynapsin), which was already being developed for CNS indications6–9 displayed some degree of protection against SARS-CoV-2 with an EC50 of 87.7 μM, although this value may be artificially high due to the short half-life of NMT3 in aqueous solution under in vitro conditions6,9,30. Hence, these two compounds were advanced for further study. We next asked if NMT3 and NMT5 could S-nitrosylate ACE2. We found that NMT5 > NMT3 effectively S-nitrosylated ACE2 both in vitro in HeLa-ACE2 cells and in vivo in Syrian hamsters, as assessed by the biotin-switch assay (Fig. 3a, b, Extended Data Fig. 5). Notably, a statistically significant increase in the level of S-nitrosylated ACE2 was observed in the SARS-CoV-2 target tissues of lung and kidney at 48 h after oral administration of a single dose of drug at 10 mg/kg (Extended Data Fig. 5d–i). Consistent with the structure-activity relationship (SAR) indicating that SNO-ACE2 was associated with the anti-viral effect of NMT5 and NMT3, the other aminoadamantane nitrates (including NMT6 and NMT8) did not S-nitrosylate ACE2 at low micromolar concentrations (Extended Data Fig. 6).
SNO-ACE2 inhibits SARS-CoV-2 variant infectivity.
Since we had found that S-nitrosylation of ACE2 inhibited the binding of SARS-CoV-2 Spike protein, we next asked if NMT3- or NMT5-mediated SNO-ACE2 formation could prevent viral entry into host cells. To test this premise, we employed a replication-deficient Maloney murine leukemia virus (MLV)-based SARS-CoV-2 Spike protein pseudotyped virus, initially using the most prevalent strain of Spike protein (D614) as of early 202031. We examined whether NMT3 and NMT5 could suppress infection with this SARS-CoV-2 pseudovirus. We found that NMT5 inhibited SARS-CoV-2 pseudoviral entry in a dose-dependent manner, with 5 μM inhibiting 53%, 10 μM 76%, and 20 μM 92% (Fig. 3c). NMT3 showed more limited ability to suppress pseudovirus entry, ~24% at 10 μM. The fact that S-nitrosylation of ACE2 manifested inhibition in the pseudovirus assay (as shown in Fig. 3c) at the approximately the same EC50 of 5 μM as found in the live virus infection assay (Fig. 2) strongly implies that SNO-ACE2 formation is indeed the predominant mechanism by which NMT5 prevents viral infection. As a control, the NMT5 metabolite lacking the nitro group did not suppress SARS-CoV-2 infection in the pseudovirus entry assay (Fig. 3c, Extended Data Fig. 7). As a further control, the pseudovirus entry assay performed with vesicular stomatitis virus G protein (VSV-G) was unaffected by NMT3 or NMT5 (Fig. 3c).
We next examined if NMT5 could suppress viral infection from more recently identified SARS-CoV-2 variants, including N501Y Spike protein, a common mutation in the B.1.1.7 (or alpha variant, United Kingdom), and B.1.351 (or beta variant, South Africa), P.1 (or gamma variant, Brazil) encountered in the winter of 2020/2021. Additionally, we tested K417N, E484K, N501Y Spike protein, as found in the B.1.351 and P.1 variants, the B.1.617.2 variant (or delta, Indian; T19R, G142D, 156/157 DELETION, R158G, L452R, T478K, D614G, P681R, and D950N), and the BA.1 variant (or omicron, South Africa) found in 2021/2022, which are associated with higher transmissibility or severity as well as altered antigenicity32. We found that NMT5 was also effective in reducing infectivity of these SARS-CoV-2 variants, including the delta and omicron variants, by up to 95% (Fig. 3d–f). These results are consistent with the notion that NMT5 >> NMT3-mediated S-nitrosylation of ACE2 can inhibit SARS-CoV-2 entry into host cells.
NMT5-induced SNO-ACE2 inhibits Spike protein binding.
Next, we sought to determine if NMT5 could modify ACE2 at both of the cysteine residues (Cys261 and Cys498) that we demonstrated to be susceptible to S-nitrosylation by SNOC. Analysis by cysteine mutation revealed that NMT5 preferentially S-nitrosylated Cys498 over Cys261 (Fig. 4a, b). Interestingly, the crystal structure of ACE2 shows that an acid/base motif (comprised of Glu495 and Asp499), which under some conditions may facilitate S-nitrosylation, is present near Cys498, while only a partial motif (represented by Asp609) is found near Cys261 (Fig. 4c)33–35. This observation is consistent with prior findings that potent or supraphysiological amounts of NO donors such as SNOC can S-nitrosylate cysteine residues surrounded by no motif or only a partial SNO motif30, whereas a full SNO motif can facilitate S-nitrosylation by less potent donors, presumably like NMT5. Mechanistically, cysteine thiol groups (in fact, thiolates) are nucleophiles that can perform reversible nucleophilic attack on an electrophilic nitroso nitrogen36,37. The local environment of the thiolate anion can kinetically favor one electrophile over another; moreover, the bulky R-group of NMT5, as an RNOx donor (x = 1 or 2) compared to the small molecule SNOC, could sterically hinder reactivity30. Notably, concentrations of NMT5 that significantly inhibited viral entry (~10 μM) failed to S-nitrosylate other proteins, including TMPRSS2, Spike protein, or E protein (Fig. 4a, Extended Data Fig. 8), demonstrating relative selectivity of NMT5 for ACE2 at the cell surface. While we cannot rule out the possibility that proteins associated with virus intracellular trafficking are S-nitrosylated, this would be less likely as aminoadamantane nitrate compounds are known to act on extracellular rather than intracellular targets5–9.
To further investigate the effect of NMT5 on SARS-CoV-2 Spike protein binding to ACE2, we performed co-immunoprecipitation (co-IP) experiments of these two proteins in the presence and absence of NMT5 using anti-ACE2 antibody for IP. As expected, the two proteins co-IP’d, as evidenced on immunoblots. NMT5 (5 μM) diminished this co-IP, consistent with the notion that the compound could inhibit binding of Spike protein to ACE2 to a significant degree (Fig. 4d, e). As controls, the Spike protein was not co-IP’d with cysteine mutant ACE2(C498A) or with double mutant ACE2(C261A/C498A) to a significant level, although mutant ACE2(C261A) was still co-IP’d. These data suggest that S-nitrosylation predominantly of C498 of ACE2 is important for Spike protein binding to ACE2. Moreover, NMT5 inhibited co-IP of the Spike protein and ACE2(C261A), while having less effect on mutant ACE2(C498A) or ACE2(C261A/C498A) binding (Fig. 4d, e). Thus, the co-IP experiment suggests that the intact Cys residue is needed for full interaction/binding of Spike protein with ACE2. Either Cys mutation or S-nitrosylation can significantly decrease the interaction of Spike protein with ACE2. Taken together, these results are consistent with the notion that NMT5 inhibits SARS-CoV-2 Spike protein from binding to ACE2 and thus virus entry into the cell via S-nitrosylation of ACE2.
NMT5 targets SNO to ACE2 via blockade of the E-protein channels.
Intriguingly, we found that the presence of the envelope (E) protein of SARS-CoV-2 appeared to target S-nitrosylation by NMT5 to nearby ACE2 receptor proteins (Fig. 5a, b, Extended Data Fig. 9). To investigate this action further, we assessed the ability of the aminoadamantane compound, memantine, and the lead aminoadamantane nitrate candidate, NMT5, to block ion channel activity of the E protein11 using the patch-clamp technique. To test direct interaction with the viroporin channel, we transiently transfected HEK293T cells with a construct encoding the E protein and assessed voltage-dependent currents (vs. uninfected cells) in the presence and absence of drug (Fig. 5c–f). Under our conditions, we found that the presence of the E protein resulted in a robust voltage-dependent current carried by K+ that was inhibited by memantine and with greater potency by NMT5. Notably, the low micromolar concentrations needed to see these effects are within attainable levels in mammalian plasma and tissues, as shown in pharmacokinetic (PK) studies, and have proven to be safe in animal toxicity studies6–9,29.
NMT5 protects from SARS-CoV-2 infection in vivo.
In preparation for in vivo efficacy testing of our chemical probes in a COVID-19 small animal model, we next performed 48-h PK studies after a single oral dose of NMT3 or NMT5 at 10 mg/kg in ~150-g Syrian hamsters. We found a half-life in plasma for NMT3 of 7.9 h and for NMT5 of 10.6 h (Fig. 6a, b, Supplementary Table 1). The mean Cmax for NMT5 was 0.2 μM and ~0.4 μM for NMT3; NMT3 also displayed a hydroxylated metabolite (full detailed PK dataset shown in Supplementary Data Sets 2, 3). The fact that NMT5 was found to be more stable than NMT3 by mass spectrometry analysis (Fig. 6a, b, Supplementary Table 1) was also consistent with prior findings6–9,29. Moreover, these drugs are concentrated in tissues up to ~30-fold over plasma levels. Utilizing a Bayesian-like adaptive clinical trial design, we determined the maximal tolerated dose (MTD) of NMT3 and NMT5 in vivo based on dose-ranging toxicity and efficacy studies in 52 Syrian hamsters. To assess treatment efficacy in the Syrian hamster model of COVID-19 at the MTD for NMT5, we administered by oral gavage 200 mg/kg in two equally divided doses separated by 12 h, with the initial dose timed right after challenge with the virus and the second dose 12 h later31,38. Based on the PK results, at this dose, drug levels in tissue should approach or exceed the EC50 found in our in vitro screens to significantly decrease viral infectivity. We found in the Syrian hamster model that this regimen of NMT5, but not NMT3, knocked down live viral titers of SARS-CoV-2 after infection by ~100 fold, as measured by plaque assay (Fig. 6c). In the absence of depletion by antibodies31,39, virus can persist in lung tissue for several days even in the absence of infection, and thus contribute to plaque assay titers, any significant decrement is encouraging as a potential treatment. More importantly in this model is the histological examination of the lungs for large hemorrhages related to actual SARS-CoV-2 infection, reflecting direct blood vessel damage as also seen in human lungs with fatal COVID-1940. In this regard, on histological examination, NMT5 virtually eliminated large COVID-19-related hemorrhages in the lungs of infected hamsters compared to vehicle when examined up to 5 days after infection (Fig. 6d). This translational model revealed a striking absence of large SARS-CoV-2-induced hemorrhages in the lungs of NMT5-treated hamsters vs. controls, with all controls displaying such hemorrhages while no NMT-5 treated animals did so (n = 12, P < 0.01 by Fisher Exact Test)41. The lethal effect of large hemorrhagic conversion was completely prevented by NMT5. While some inflammatory changes were noted in the NMT5-treated lung tissue compared to uninfected controls, it was far less than in the infected/untreated tissue (Fig. 6d). In fact, proinflammatory cytokine and chemokine activation downstream of infection were abated with NMT5 treatment compared to vehicle control, as demonstrated by immunohistochemical staining of lung sections (Fig. 6e). Quantification of these results in an overall pathology score showed significant protection by NMT5 (Fig. 6f). These findings benchmark favorably against our group’s published studies on the same model using antibodies directed against Spike protein31,39.
Discussion
In summary, development of an oral drug to combat acute SARS-Cov-2 infection remains a high priority to treat the COVID-19 pandemic, particularly for the unvaccinated segment of the world population. Our findings provide proof-of-concept that the cellular receptor of SARS-CoV-2, ACE2, can be S-nitrosylated. This nitrosylation reaction appears to inhibit binding of SARS-CoV-2 Spike protein, thus inhibiting viral entry, infectivity, and cytotoxicity. As emerging evidence for this mechanism of action, our binding, co-IP, and Cys mutation experiments show a significant degree of disruption of binding of Spike protein to ACE2 after S-nitrosylation of ACE2 or after mutation of the S-nitrosylation sites on ACE2. In fact, this mechanism was predicted in our molecular dynamics simulation experiments. We acknowledge, however, that while this is a rational explanation, it remains a hypothesis for the observed mechanism of viral inhibition by chemical probes that S-nitrosylate ACE2.
Taking advantage of these findings, we developed a novel aminoadamantane nitrate compound, NMT5, as a chemical probe that provides inhibition of SARS-CoV-2 activity by protein S-nitrosylation. NMT5 contains a nitro group, and we provide evidence that this nitro group is targeted to ACE2 by aminoadamantane-mediated viroporin channel blockade of the E protein2,3,10–12. The discovery that ACE2 could be S-nitrosylated was quite unexpected, as most authorities had postulated that the beneficial effects of NO on COVID-19 patients was due to a direct effect on the virus itself. These mechanistic insights provided by our chemical probes should facilitate development of aminoadamantane nitrate drugs for acute antiviral therapy for human COVID-19.
A key concept of this novel approach to ameliorating infection by SARS-CoV-2 is that these nitro-aminoadamantane compounds may prevent the viral Spike protein from binding to the ACE2 receptor by S-nitrosylating the receptor in targeted fashion, apparently facilitated by blockade of the vicinal viroporin E protein (Figs. 5, Extended Data Fig. 9, 10). Hence, drugs like NMT5 should also prevent new variants of the Spike protein from binding to ACE2 because ACE2 itself is blocked. In this manner, the development of aminoadamantane nitrates for COVID-19 drug therapy complements other drug, vaccine, and antibody therapies, which are dependent on Spike protein antigenic sites and thus may eventually be susceptible to evasion by further Spike protein mutation. Critically, the binding of NMT5 to the viroporin channel may also confer the ability to block spread of SARS-CoV-2 from one host to another. To explain this mechanistically, we posit that NMT5 binds to the E protein viroporin channel on SARS-CoV-2 and then transfers NO to ACE2 on the host cell to prevent infection (Fig. 5a, b; Extended Data Fig. 9). However, if a patient is already infected and takes an NMT5-like drug, the newly produced viral particles will bind to the aminoadamantane moiety of NMT5 via their E protein viroporin channels; hence, viral infectivity should be limited when a new potential host is exposed to this virus because the new host’s ACE2 target protein will be S-nitrosylated by the drug attached to the viral particles as the virus approaches ACE2 on the new host. Compounds like NMT5 thus provide tools for the development of a novel strategy to combat spread of COVID-19 from one host to another.
Methods
Cell lines.
HEK293T (System Biosciences, LV900A-1) and HEK293-Spike cells (SARS-CoV-2 Spike (D614)-expressing 293 cells [293-SARS2-S cells, Indigen]) were maintained in Dulbecco’s modified Eagle’s medium (DMEM) with Glut Amax™ (DMEM, high glucose, GlutaMAX™ Supplement, Life Technologies, 10566016) supplemented with 10% fetal bovine serum (FBS; Sigma, F7524), 100 IU/ml, and 100 μg/ml penicillin-streptomycin (Thermos Fisher Scientific, 10378016) at 37 °C in a 5% CO2 incubator. Transfections were carried out with Lipofectamine 2000 (Life Technologies, 11668019) using the protocol recommended by the manufacturer. HeLa-ACE2 cells were a gift from David Nemazee (Scripps Research)31. Monkey Vero E6 cells (ATCC CRL-1586) were maintained in complete DMEM (Corning, 15-013-CV) containing 10% FBS, 1×PenStrep (Corning 20-002-CL), 2 mM l-glutamine (Corning, 25-005-CL) at 37 °C in a 5% CO2 incubator.
Plasmids.
hACE2 was a gift from Hye Ryun Choe (Addgene plasmid #1786; http://n2t.net/addgene:1786; RRID:Addgene_1786)42. The C262A, C498A, C261/498A mutant ACE2 constructs were generated using the Quick-change Lightning Multi Site-Directed Mutagenesis Kit (Agilent Technologies, 210514) according to the manufacturer’s protocol. pGBW-m4252984 (SARS-CoV-2 E [envelope]) was a gift from Ginkgo Bio works (Addgene plasmid #153898; http://n2t.net/addgene:153898; RRID:Addgene_153898). MLV-gag/pol, MLV-CMV-Luciferase, SARS-CoV-2, and VSV-G plasmids were a gift from David Nemazee (Scripps Research)31.
Aminoadamantane and aminoadamantane nitrate drugs.
Aminoadamantane nitrate compounds (blindly coded NMT2, NMT3, NMT5-NMT9, and NMT5-met (metabolite, sans nitro group) were synthesized by and obtained from EuMentis Therapeutics, Inc. (Newton, MA), and have been described previously6–9,29. Additionally, note that these compounds were prepared as hydrochloride salts to increase stability and aqueous solubility. The aminoadamantane compounds, memantine and amantadine (blindly coded NMT1 and NMT4), were also obtained from EuMentis Therapeutics, Inc. Detailed protocols for chemical synthesis are provided in the Supplementary Note under Supplementary Information. All compounds were sent to Scripps Research for testing in a masked fashion, and compound identities were not revealed until after experiments were completed and analyzed.
Biotin-switch assays and immunoblotting.
For analysis of S-nitrosylated proteins, we performed the biotin-switch assay as previously described 43. In brief, cells or tissue samples were lysed with HENTS buffer (100 mM Hepes, pH 7.4, 1 mM EDTA, 0.1 mM neoprene, 0.1% SDS, and 1% Triton X-100) containing 10 mM methyl methanethiosulfonate [MMTS]). SDS solution (2 % w/v) was added to lysed samples to a final concentration of 1% and incubated for 20 minutes at 45°C with frequent vortexing to facilitate blockade of free thiol groups. After removing excess MMTS by acetone precipitation, S-nitrosothiols were reduced to thiols with 20 mM ascorbate. Newly formed thiols were then linked with the sulfhydryl-specific biotinylating reagent N-[6-biotinamido]-hexyl]-l′-(2′pyridyldithio) propionamide (Biotin-HPDP; Dojindo, SB17-10). Unreacted biotin-HPDP was removed by acetone precipitation, and the pellet was resuspended in HENS buffer (100 mM Hepes, pH 7.4, 1 mM EDTA, 0.1 mM neocuproine, 1% SDS), neutralized, and centrifuged to clear any undissolved debris. Five percent of the supernatant was used as the input for the loading control. Biotinylated proteins were pulled down with High Capacity NeutrAvidin-Agarose beads (Thermo Scientific, 29202) and analyzed by immunoblotting for S-nitrosylated ACE2, TMPRSS2, or Spike (S) protein. Protein samples were subjected to Bolt Bis-Tris Plus (Thermo Fisher Scientific, NW04122BOX) gel electrophoresis and transferred to PVDF membranes (Millipore, IPFL00010). Membranes were blocked with Odyssey blocking buffer (Li-Cor, 927-40000) for 30 minutes at RT and then probed with primary antibodies against ACE2 (1:3000, Abcam, ab15348; 1:3000, Proteintech, 21115-1-AP), TMPRSS2 (1:1000, Santa Cruz, sc-515727), or SARS-CoV-2 Spike protein (1:2000, Abcam, ab275759). After incubation with secondary antibodies (IR-dye 680LT-conjugated goat anti-mouse [1:20,000; Li-Cor, 926-68020] or IR-dye 800CW-conjugated goat anti-rabbit [1:15,000; Li-Cor, 926-32211]), membranes were scanned with an Odyssey infrared imaging system (Li-Cor). Image Studio (Li-Cor) software was used for densitometric analysis of immunoblots.
Immunocytochemistry for SARS-CoV-2 Spike protein.
Purified recombinant SARS-CoV-2 Spike (S1 + S2) protein (10 μg/ml, Sino Biological, 40589-V08B1) exposed cells were fixed with 4% PFA for 15 minutes at RT, washed 3 times with PBS, and blocked (3% BSA, 0.3% Triton X-100 in PBS) for 30 minutes at RT. Cells were incubated with anti-SARS-CoV-2 Spike protein antibodies (1:200, Sino Biological, 40150-R007) overnight at 4 °C, followed by incubation with Alexa Fluor 488-conjugated secondary antibody (Thermo Fisher Scientific, A21206). Cells were counterstained with 1 μg/ml Hoechst dye 33342 (Invitrogen). Cell images were acquired with a Nikon A1 Confocal Microscope using a 20 x/0.75 air objective (1 μm Z-stack). Maximum intensity projection of images was generated with NIS-Elements AR, and fluorescence intensity was analyzed with ImageJ software (https://imagej.nih.gov/ij/download.html) as previously described44.
Expression and purification of human ACE2 protein.
The N-terminal peptidase domain of human ACE2 (residues 19 to 615, GenBank: BAB40370.1) was cloned into phCMV3 vector and fused with C-terminal His-tag. The plasmid was transiently transfected into Expi293F cells using ExpiFectamine™ 293 Reagent (Thermo Fisher Scientific) according to the manufacturer’s instructions. The supernatant was collected at day 7 post-transfection. The His-tagged ACE2 protein was then purified by Ni-NTA (QIAGEN) affinity purification, followed by size exclusion chromatography. The ACE2 preparation then was buffer-exchanged to 1x PBS for the S-nitrosylation assay.
Co-immunoprecipitation experiments.
Cultured cells were harvested and lysed in 1% Triton X-100 in PBS. Equivalent protein quantities were immunoprecipitated with anti-ACE2 antibody (Abcam, ab15348)-conjugated magnetic beads (Dynabeads™ Protein A; Thermo Fisher Scientific, 10002D) for 90 minutes at RT. Immunoprecipitants were eluted and subjected to immunoblotting with anti-ACE2 antibody (1:1000, Cell Signaling, #15983) and anti-SARS-CoV-2 Spike protein antibody (1:2000, Abcam, ab275759).
Mass spectrometry analysis of S-nitrosylated ACE2 protein.
Biotin switch was performed as described above. Biotinylated proteins were then precipitated with iced acetone, pelleted, and solubilized in HENS buffer (100 mM Hepes, pH 7.4, 1 mM EDTA, 0.1 mM neocuproine, 1% SDS). The samples were desalted using a ZebaSpin desalting column (Thermo Scientific) pre-equilibrated with PBS, and biotinylated ACE2 protein was immunoprecipitated as described above. Immunoprecipitated ACE2 was eluted in 1% SDS solution and precipitated using methanol-chloroform. Dried pellets were dissolved in 8 M urea/100 mM triethylammonium bicarbonate (TEAB, pH 8.5). Samples were diluted to 2 M urea/100 mM TEAB, and proteins were trypsin digested overnight at 37 °C. The digested ACE2 peptides were enriched a second time by biotin-avidin affinity to enrich biotinylated peptides representing the initial SNO sites. After avidin enrichment, peptides were eluted by reduction using tris(2-carboxyethyl)phosphine (TCEP).
Samples were analyzed on a Thermo Orbitrap Eclipse mass spectrometer (Thermo). Samples were injected directly onto a 25 cm, 100 μm ID column packed with ethylene bridged hybrid (BEH) 1.7 μm C18 resin (Waters). Samples were separated at a flow rate of 300 nl/min on a nLC 1200 (Thermo) using a gradient of solution A (0.1% formic acid in water, 5% acetonitrile) and solution B (80% acetonitrile/0.1% formic acid). Specifically, a gradient of 1–25% B over 100 min, an increase to 40% B over 20 min, an increase to 100% B over another 10 min and held at 90% B for a 10 min was used for a 140 min total run time. Peptides were eluted directly from the tip of the column and nanosprayed directly into the mass spectrometer by application of 2.5 kV voltage at the back of the column. The Orbitrap Eclipse mass spectrometer was operated in data dependent mode. Full MS1 scans were collected in the Orbitrap at 120k resolution. The cycle time was set to 3 s, and within this 3 s, the most abundant ions per scan were selected for high energy collisional dissociation (HCD) with detection in the Orbitrap. Monoisotopic precursor selection was enabled, and dynamic exclusion was used with exclusion duration of 5 seconds.
Protein and peptide identification were done with Integrated Proteomics Pipeline – IP2 (Integrated Proteomics Applications). Tandem mass spectra were extracted from raw files using RawConverter45 and searched with ProLuCID46 against Uniprot human database. The search space included all fully-tryptic and half-tryptic peptide candidates. Data were searched with 50 ppm precursor ion tolerance and 600 ppm fragment ion tolerance. Identified proteins were filtered to 10 ppm precursor ion tolerance using DTASelect47 utilizing a target-decoy database search strategy to control the false discovery rate to 1% at the protein level48.
Molecular dynamics simulations.
The fully glycosylated, Cys261/Cys498-S-nitrosylated model of human ACE2 dimer bound to two SARS-CoV-2 Spike’s receptor binding domains (RBD) (with a 1:1 stoichiometry) is based on the cryo-EM structure of the ACE2/RBD/B0AT1 complex (PDB ID: 6M17)23. B0AT1 dimer chaperone coordinates were manually removed and N-glycans were added on both ACE2 and RBD in the same fashion as in Barros et al.22. The side chain of Cys261 and Cys498 was S-nitrosylated in both ACE2 protomers using Schrödinger Maestro (Schrödinger Release 2020-4: Maestro, Schrödinger, LLC, New York, NY, 2020.). ParamChem web interface was used to generate CHARMM36 suitable parameters for the S-N=O moiety49–51. The glycosylated and S-nitrosylated ACE2/RBD construct was inserted into a lipid bilayer patch of 350 Å × 350 Å with a composition similar to that of mammalian cell membranes (56% POPC, 20% CHL, 11% POPI, 9% POPE, and 4% PSM)52,53. Finally, the resulting system was embedded into an orthorhombic box of explicit waters and Na+/Cl− ions at a concentration of 150 mM. Molecular dynamics (MD) simulations were performed on the Frontera supercomputer at the Texas Advanced Supercomputing Center (TACC) using NAMD 2.14 (ref.54) and CHARMM36m all-atom additive force fields55,56. Excluding initial minimization and equilibration, a total of 310 ns were collected for analysis. We note that, except for Cys261 and Cys498 S-nitrosylation, the model described here is the same as the ACE2/RBD complex presented in Barros et al.22. Therefore, we refer to that work for a complete description of system setup procedures and simulation protocol.
Analysis of center of mass (COM) distance was performed with compute_center_of_mass function within MDtraj57. COM for each ACE2 protomer was calculated taking into account the amino acid backbones of residues 18–742. The distance between COMs was evaluated at each frame along a 310 ns trajectory for both the WT ACE2/RBD complex by Barros et al.22 and the model of the S-nitrosylated-ACE2/RBD complex presented here. As a reference, the distance between COMs from the cryo-EM structure (PDB: 6M17) was also calculated. The simulations were visually inspected using VMD58.
SARS-CoV-2 virus generation.
Monkey Vero E6 cells were plated in a T225 flask with complete DMEM containing 10% FBS, 1×PenStrep, 2 mM l-glutamine and incubated for overnight at 37 °C in a humified atmosphere of 5% CO2. The medium in the flask was removed, and 2 ml of complete DMEM containing the WA1 strain of SARS-CoV-2 (USA-WA1/2020 [BEI Resources, NR-52281)) were added to the flask at a multiplicity of infection (MOI) of 0.5. After incubation for 30 minutes at 34 °C in a 5% CO2 incubator, 30 ml of complete DMEM were added to the flask. The flask was then placed in a 34 °C incubator with 5% CO2 for 5 days. On day-5 after infection, the supernatant was harvested and centrifuged at 1,000×g for 5 minutes. The supernatant was filtered through a 0.22 μM filter and stored at −80 °C.
SARS-CoV-2/HeLa-ACE2 high-content imaging assay for infection.
Control compounds solvated in DMSO were transferred into 384-well μclear-bottom plates (Greiner, Part. No. 781090-2B) using the ADS Labcyte Echo liquid handler. Aminoadamantane and aminoadamantane nitrate compounds to be screened were solvated in saline solution on ice immediately before use and transferred into the assay plates in 5 μl DMEM with 2% FBS (assay medium). HeLa-ACE2 cells were added to plates in assay medium at a density of 1.0×103 cells per well to a 13 μl volume. Plated cells were transported to the BSL3 facility at Scripps Research, and within 1 h, 13 μl SARS-CoV-2 diluted in assay media was added at a multiplicity of infection (MOI) = 0.65. Cells were incubated for 24 h at 34 °C in a 5% CO2 incubator and then fixed with 8% formaldehyde for 1 h. Human polyclonal sera diluted at 1:500 in Perm/Wash buffer (BD Biosciences, 554723) were added to the plate and incubated at room temperature (RT) for 2 h. Six μg/ml of goat anti-human H+L conjugated Alexa 488 (Thermo Fisher Scientific, A11013) together with 8 μM of antifade-46-diamidino-2-phenylindole (DAPI; Thermo Fisher Scientific D1306) in SuperBlock T20 (PBS) buffer (Thermo Fisher Scientific, 37515) were added to the plate and incubated at RT for 1 h in the dark. Four fields were imaged per well using the ImageXpress Micro Confocal High-Content Imaging System (Molecular Devices) with a 10× objective. Images were analyzed using the Multi-Wavelength Cell Scoring Application Module (MetaXpress) where DAPI staining was used to identify host-cell nuclei (the total number of cells in the images) and the SARS-CoV-2 immunofluorescence signal for identification of infected cells.
Uninfected host cell cytotoxicity counterscreen.
Compounds were prepared and plated in 384-well plates as for the infection assay. HeLa-ACE2 cells were seeded in the assay-ready plates at 1.6×103 cells/well in assay medium, and plates were incubated for 24 h at 37 °C with 5% CO2. To assess cell viability, the Image-iT DEAD green reagent (Thermo Fisher, I10291) was used according to manufacturer’s instructions. Cells were fixed with 4% paraformaldehyde (PFA) and counterstained with DAPI. Fixed cells were imaged using the ImageXpress Micro Confocal High-Content Imaging System (Molecular Devices) with a 10× objective, and total live cells per well quantified in the acquired images using the Live Dead Application Module (MetaXpress).
Data analysis of the compound screening results.
The in vitro infection assay and the host cell cytotoxicity counterscreen data were uploaded to Genedata Screener, Version 16.0. Data were normalized to neutral (DMSO) minus inhibitor controls (2.5 μM remdesivir for antiviral effect, and 10 μM puromycin for infected host cell toxicity). For the uninfected host cell cytotoxicity counterscreen, 10 μM puromycin (Sigma) was used as a positive control. For dose-response experiments, compounds were tested in technical triplicates, and dose curves were fitted with the four parameter Hill Equation. Replicate data were analyzed using median condensing. The full dataset is supplied in Supplementary Data Set 1.
Pseudoviral entry assay.
To measure SARS-CoV-2 viral infectivity, we performed pseudoviral entry assays as previously described31. In brief, HEK293T cells were transiently co-transfected with MLV-gag/pol, MLV-CMV-Luciferase plasmid, and SARS-CoV-2 Spike (D614) or VSV-G plasmid. Two days later, supernatants containing pseudotyped virus particles were collected. To assay for pseudoviral entry, HeLa-ACE2 cells were seeded in 96-well plates at 10,000 cells/well (PerkinElmer Inc. 6005680). One day later, cells were incubated with diluted pseudovirus. After 48 h to allow for viral transduction, cells were lysed and assayed for luciferase activity by Steady-Glo® (Promega, E2510) according to the manufacturer’s instructions. Luminescence was quantified using a Luminoskan Ascent plate leader (Thermo Fisher Scientific). To assess the ability of NMT5 to reduce viral infection in human-ACE2 cells with SARS-CoV-2 variants. Lenti-SARS-CoV-2 N501Y Spike, SARS-CoV-2 K417N, E484K, N501Y Spike, and VSV-G pseudoviral particles were obtained from the Rhode Island Hospital lentivirus construct core59, or lenti-SARS-CoV-2 delta and omicron variant pseudoviral particles were obtained from the PBS Bioscience (#78215 and #78348, respectively). SARS-CoV-2 variant preparations were diluted in assay media and added at 4.0×106 TU/1×104 or 1.5×102 TU/1×104 cells (for delta variant), or 9×102 TU/1×104 cells (for omicron variant) in the presence or absence of 20 μM NMT5. Plates were centrifuged at 600×g for 1 h at RT, and then cells were incubated at 37 °C in a 5% CO2 incubator. After 48 h to allow for viral transduction, cells were lysed and assayed for luciferase activity by Steady-Glo®. Luminescence was quantified using a Luminoskan Ascent plate reader.
Pharmacokinetic testing and analysis.
Golden Syrian hamsters (110–150 g, n =3 for each compound) were dosed by oral gavage at 10 mg/kg. Blood samples were obtained at 30 min, 1, 3, 7, 24, 32, and 48 h. The blood samples were collected in BD Vacutainers (BD, #366664) containing sodium heparin, and centrifuged. The processed plasma samples are stored at −20 °C until high-performance liquid performance-tandem mass spectrometry (HPLC-MS/MS) analysis. Animals were then sacrificed, and lung and kidney tissues harvested for biotin-switch analysis for SNO-ACE2. To quantify the test compound in the collected plasma samples, a plasma calibration curve was generated by spiking aliquots of drug-free plasma with the test compound at the specified concentration levels. Spiked and collected plasma samples were treated with an aliquot of acetonitrile containing a known concentration of an Internal Standard (IS). The extraction solvent was analyzed on an Agilent 1100 LC mated to an AB Sciex 4000 Q TRAP MS. Separation of the analytes was achieved by using a Phenomenex Kinetex EVO C18 50 × 2.1mm column (Phenomenex, 00B-4633-AN), and a mobile phase consisting of (A) 0.1% formic acid in water and (B) 0.1% formic acid in acetonitrile. The LC gradient consisted of a 0.5 ml/min flow rate starting at 100% of (A). The LC gradient then ramped to 90% (B) over 0.1 min, and held for 2.5 min. The gradient reverted to 100% (A) over 0.1 min and allowed for 2 min of re-equilibration time. Ionization spray (IS) voltage was set to 4000, with the source temp set at 400 °C. Analytes were monitored by Multiple Reaction Monitoring (MRM) in positive ionization mode. Peak areas were recorded, and the concentrations of the test compound in the unknown plasma samples were quantified by the calibration curve using Sciex Analyst software (PE Sciex). Phoenix WinNonLin 8.1 software (Certara) was used in NCA mode to determine the PK parameters from the LC-MS/MS measured values. NMT5 PK analysis was performed by “Serial Sampling” where we followed the PK of the drug in each individual animal (animals 71, 73, and 75), and then averaged those PK values. We took this approach because all the animals had values for the full-time course available, as detailed in Supplementary Data Set 2. For NMT3 PK, the “sparse sampling” procedure was utilized to account for plasma concentrations from animals that do not have a full-time course profile available (animals 372–374), in part due to the short half-life and rapid metabolism to the hydroxylated form with release of the nitrate group, as detailed in Supplementary Data Set 3. The difference in methodology results in “Serial Sampling” averaging the PK values and “Sparse Sampling” averaging the concentrations used to determine the PK values. Sparse sampling was also necessary because tissue samples were obtained at two of the timepoints (1 h and 24 h) so the study parameters had to be modified. Additionally, both parent drug (NMT3) and metabolite were detected, making the samples sparser. Summary PK data are shown in Supplementary Table 1, and the full datasets are supplied in Supplementary Data Set 2 (for NMT5) and Supplementary Data Set 3 (for NMT3).
Syrian hamster COVID-19 model.
Eight-week-old Golden Syrian hamsters (110–150 g, Charles River) challenged with a dose of 1 × 105 or 106 plaque forming units (PFU) of SARS-CoV-2 (USA-WA1/2020) by intranasal administration in a volume of 100 μl DMEM as previously described31. For the experiments shown, the hamsters were subsequently administered via oral gavage either vehicle or the aminoadamantane nitrate candidate drugs NMT3 or NMT5 in a volume of 500 μl, with the initial dose timed for delivery right after challenge with SARS-CoV-2 and a second dose administered 12 h later. At 2-d and 5-d after infection, lung tissue was collected for assessing viral titers and histology as described31. All animal experiments were approved by The Scripps Research Institute Animal Care and Use Committee.
Plaque assay for SARS-CoV-2 viral titers.
SARS-CoV2 titers were measured 2 days and 5 days after infection by homogenizing hamster lungs in DMEM 2% FBS using 100 μm cell strainers (Myriad 2825-8367). Homogenized lungs were titrated 1:10 over 6 steps and layered over Vero cells. After 1 h of incubation at 37 °C, a 1% methylcellulose in DMEM overlay was added, and the cells were incubated for 3 days at 37 °C. Cells were then fixed with 4% PFA and plaques were counted by crystal violet staining and expressed as plaque forming units (PFU). PFU after treatment with NMT3 was statistically equal to that of vehicle control.
Lung histology and immunohistochemistry.
Lung tissue from Golden Syrian Hamsters was stored in zinc formalin for ~72 h. The tissue was processed for paraffin embedding, and sections cut at a thickness of 5 μm. The tissue was then stained with hematoxylin and eosin (H&E). The slides were scanned at 20X using an Aperio AT2 whole slide scanner. For immunohistochemistry, lung sections were fixed with 4% PFA for 15 min and washed 3 times with PBS. Sections were blocked with 3% BSA and 0.3% Triton X-100 in PBS for 30 min. Sections were incubated with primary antibody in blocking solution overnight at 4 °C and then washed with PBS. The appropriate Alexa Fluor 488 (Thermo Fisher Scientific, A21206), 555 (Thermo Fisher Scientific, A31570)-conjugated secondary antibodies were used at 1:500, plus Hoechst 33342, Trihydrochloride, Trihydrate dye (1:1,000, ThermoFisher Scientific, catalog #H3570) to visualize nuclei for 1 h at RT. Primary antibodies and dilutions were as follows: Mouse anti-TNFα (5 μg/ml, Abcam, #ab1793) and rabbit anti-macrophage inflammatory protein 1α (MIP-1α)/CCL3+CCL3L1 (1:250, Abcam, #ab259372). Slides were imaged using a C2 confocal microscope (Nikon) in a masked fashion. For quantification of lung injury, pathology scores were applied based on the percentage of interstitial hemorrhage and cytokines present using the following criteria: (0) normal; (1) less than 10% of tissue affected; (2) 10–25% affected; (3) 26–50% affected; and (4) more than 50% affected, similar to scoring system used previously for COVID-19 models60.
Patch-clamp analysis of SARS-CoV-2 envelope (E) protein viroporin ion channel activity.
Using the patch-clamp technique, we recorded whole-cell currents from untransfected HEK293T cells and cells transfected with SARS-CoV-2 envelope (E) protein. Cells were recorded at RT in Hepes-supplemented Hanks’ balanced salt external solution with the following composition (in mM): NaCl 138, KCl 5.3, KH2PO4 0.4, Na2HPO4 0.3, NaHCO3 4.2, MgCl2 0.5, MgSO4 0.4, CaCl2 2.0, d-glucose 5.6 and Hepes 10; pH 7.4, 300 mOsm. Patch pipettes were filled with an intracellular pipette solution composed of (in mM): 113 K-gluconate, 6 KCl, 4.6 MgCl2, 1.1 CaCl2, 10 Hepes, 10 EGTA, 4 Na2-ATP, 0.4 Na2-GTP, pH adjusted to 7.3 with KOH; osmolality 291 mOsm. Whole-cell currents were recorded using Clampex software (Molecular Devices) on a computer-controlled patch-clamp amplifier (Multiclamp 700B, Molecular Devices) and analyzed with Clampfit software (Molecular Devices). Traces were filtered at 2 kHz and sampled at 20 kHz. Drugs were dissolved in water and stored as 100 mM stocks at −20 °C. During experiments, drugs were dissolved in extracellular solution and tested at concentrations of 5 and 10 μM. HEK293T cells were plated on 12-mm diameter glass coverslips coated with a mixture of rat tail type I collagen and poly-d-lysine. For transient expression in HEK293T cells, we used a transfection reagent (Fugene® HD, Promega) to co-transfect plasmids containing cDNAs for SARS-CoV-2 E protein (pGBW-m4133502, Addgene) and green fluorescent protein (GFP) at a ratio of 1:0.1 (0.5:0.05 μg/well, respectively).
SNO-ACE2 targeting assay via E protein viroporin channel.
SARS-CoV-2 E plasmid was transiently transfected into HEK293-Spike cells with Lipofectamine 2000 (controls received Lipofectamine 2000 vehicle alone); one day later, cells were harvested by tapping the plate in pre-warmed PBS. These cells were then added onto pre-plated HeLa-ACE2 cells in the presence or absence of NMT5. After 30 min, all cells were collected and subjected to biotin switch-assay and immunoblotting with anti-ACE2 antibody to assess the levels of SNO-ACE2 and total input ACE2.
Quantification and statistical analysis.
A Power Analysis of our prior data was used to determine the number of replicates needed for statistical purposes. The number of replicates or experiments is indicated in the individual figure legends. Data are expressed as mean s.e.m. In general, for multiple comparisons on data with a normal distribution, differences between experimental groups were evaluated using an ANOVA followed by a post hoc Tukey’s or Fisher’s LSD test. For comparison between two groups, a Student’s t test (for normally distributed data) or a nonparametric Mann–Whitney U test (for data not known to be normally distributed) was employed. Additionally, for the statistical assessment of lung pathology in the Syrian hamster model of COVID-19, a Fisher’s exact test with 2 × 2 contingency table was used. A P value < 0.05 was considered significant. Statistical analyses were performed using GraphPad Prism software.
Extended Data
Supplementary Material
Acknowledgements
We thank David Nemazee (Scripps Research) for providing HeLa-ACE2 cells and plasmids for pseudovirus. This work was supported in part by NIH grants RF1 AG057409, R01 AG056259, R01 DA048882, R35 AG071734 and DP1 DA041722 (to S.A.L.), R01 AG061845, R61 NS122098, RF1 NS123298 (to T.N.), UM1 AI144462 (to D.R.B.), P41 GM103533 (to J.R.Y.), HOPE T32 Training Grant T32AI007384 (to L.N.C.), California Institute for Regenerative Medicine (CIRM) grant DISC2 COVID19-11811, COVID-19 awards from Fast Grants (to S.A.L.), and grants from the Bill & Melinda Gates Foundation #OPP1107194 (to Calibr) and INV-004923 (to I.A.W). The molecular dynamics simulations were supported by NIH R01 GM132826, NSF RAPID (MCB-2032054), an award from the RCSA Research Corp. and a UC San Diego Moore’s Cancer Center 2020 SARS-CoV-2 seed grant (to R.E.A.), and the Interfaces Graduate Training Program, NIH T32 EB009380 (to M.A.R). We thank the Texas Advanced Computing Center (TACC) Frontera team and acknowledge computer time made available through a Director’s Discretionary Allocation (made possible by NSF award OAC-1818253). We also thank to Dr. Olin Liang of the Lentivirus Core of the COBRE Center for Stem Cells and Aging at Brown University, supported by NIH P20 GM119943.
Footnotes
Competing interests
The authors declare that S.A.L. is an inventor on patents for the use of memantine and various aminoadamantane nitrate compounds for neurodegenerative and neurodevelopmental disorders. He is also an inventor on composition of matter patents and use patents for aminoadamantane nitrate compounds in treating COVID-19 and other viral diseases. Per Harvard University guidelines, S.A.L. participates in a royalty-sharing agreement with his former institution Boston Children’s Hospital/Harvard Medical School, which licensed the drug memantine (Namenda®) to Forest Laboratories, Inc./Actavis/Allergan/AbbVie for use in dementia. The aminoadamantane nitrate compounds have been licensed to EuMentis Therapeutics, Inc. (Newton, Massachusetts). C.B. is a chemist employed at EuMentis Therapeutics. The other authors declare no financial conflicts of interest relevant to this publication.
Supplementary Information
Data availability
All data are available in the main text or the supplementary materials. All plasmids generated in this study are available from S.A.L. under a material transfer agreement with The Scripps Research Institute. The structure data for ACE2 protein is available at https://www.rcsb.org/structure/6m17 (PDB 6M17).
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data are available in the main text or the supplementary materials. All plasmids generated in this study are available from S.A.L. under a material transfer agreement with The Scripps Research Institute. The structure data for ACE2 protein is available at https://www.rcsb.org/structure/6m17 (PDB 6M17).