Sequential Thiolactone Amine Acrylate Reaction (STAAR Lipids)
Similarly to other ionizable lipid structures, STAAR lipids consist of a polar head, a linker, and hydrophobic tails. Given that one of the aims of this study was precisely to examine how the various fragments of these lipids can influence their in vivo performance, a combinatorial chemistry approach was followed to screen a selection of lipids that included different moieties in their structure. For simplicity, each lipid was named as AiBjCk to account for the reagents used for their synthesis. In this nomenclature, Ai represents an amine (polar head); Bj indicates the linker, which consists of a thiolactone incorporating a hydrophobic tail, and Ck represents an acrylate with another hydrophobic tail.
The synthetic process of STAAR lipids is illustrated in Fig. 1a. Briefly, this two-step synthesis starts with the coupling of homocysteine thiolactone with a carboxylic acid to yield the corresponding linker intermediate (Bj). The second step involves a tricomponent one-pot sequential reaction which starts with a ring-opening addition of the intermediate (Bj) with an amine (Ai) followed by a Michael addition with an acrylate (Ck) to yield the lipid AiBjCk23. Remarkably, this multicomponent reaction can be carried out at room temperature, without need for catalysts or inert atmosphere, and within a 2-hour reaction time. Moreover, the high purity (>80%) obtained make it an optimal method for rapid multidimensional screening of ionizable lipids, eliminating the need for further purification steps.
The general structure of the resulting STAAR lipids include two amide bonds (one originating from the reaction of the amine Ai and the thiolactone Bj and the other one connecting this thiolactone to its hydrophobic tail), a thioether bond (from Bj), and an ester group (from Ck). Consequently, any changes to be made in the hydrophobic tails can be achieved by modifying the structure of the thiolactone derivatives (Bj) and acrylates (Ck).
Two-phase screening strategy for ionizable lipids
To assess how different moieties affect the final structure and activity of the lipid, a two-phase screening strategy was devised in which one component of the lipid (Ai, Bj, or Ck) was initially kept constant while the other two were varied. This method enabled us to systematically evaluate the impact of each component on the lipid's performance. By fixing one fragment and varying the other two, the intention was to efficiently identify the most promising candidates, thereby streamlining the screening process and optimizing our approach. Thus, the screening process was divided into two optimization phases, with each phase focusing on the optimization of a different lipid moiety (Fig. 2a, 2b).
For this optimization phase, the effectiveness of each IL candidate was evaluated by formulating each lipid individually into LNPs using a pipette rapid mixing procedure24. Thus, each LNP was composed of an ionizable lipid (AiBjCk), 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE), cholesterol, and 1,2-dimyristoyl-rac-glycero-3-methoxypolyethylene glycol-2000 (DMG-PEG-2000) (50: 10: 38.5: 1.5 molar ratios, respectively) and firefly luciferase mRNA (with a 6:1 molar N/P ratio Fig. 1b).
Also, due to the weak correlation between in vitro and in vivo LNP performance25, a direct screening in vivo using mice as animal model was followed, for which a firefly luciferase mRNA dose of 0.05 mg/kg was administered intramuscularly (i.m.) and the luminiscence results were measured at 4h post-inoculation.
Screening Phase 1: Optimization of linker’s hydrophobic chain (Bj)
The first phase of the structure optimization, aimed to select the optimal Bj component by synthesizing 21 lipids in which the polar head was fixed (A1 was selected) while combining three types of thiolactones with different acrylates (Fig. 2c). This amine was chosen as its structure closely resembles that of the MC3 polar head, featuring a spacer of three methylene units between a tertiary amine and a carbonyl group26. The hydrophobic chains linked to the thiolactone derivatives (Bj) were selected to have distinctly different structures: a linear chain (B1) with 18 carbon atoms, an unsaturated chain (B2), and a branched chain (B3).
The analysis of the protein expression (Fig. 2c) achieved for the LNPs for each individual lipid revealed that A1B2Ck lipids (with k ranging from 1 to 7) resulted in increased protein expression for in vivo mRNA delivery, regardless of the acrylate used (Ck). Moreover, unsaturated chains yielded higher expression than saturated ones. Notably, hydrophobic moieties C3 and C7 were particularly effective.
Screening Phase 2: Optimization of polar head (Ai) and second hydrophobic chain (Ck)
Based on the findings from the screening phase 1, B2 was selected as the foundation for the next screening step. This second phase aimed to optimize the other two moieties of the molecule: the polar head (Ai) and the second hydrophobic chain (derived from Ck). Once again, the use of the STAAR synthesis approach for this optimization process allowed for a swift exploration of these structural moieties thanks to the high purities achieved in the sequential reactions used in their synthesis. More specifically, 70 AiB2Ck novel lipids were synthesized, with i and k ranging from 2 to 11 and 1 to 7, respectively (Fig. 2d). Moreover, to validate the strategy employed, an assay was carried out to corroborate that there were no significant differences between the use of crude reaction and purified ionizable lipid in terms of protein expression (Supplementary Fig. 3).
Regarding the Ai moiety, diverse polar heads, including cyclic, linear, aromatic, and analogues with a variable number of ionizable N groups, underwent testing. Upon in vivo evaluation, cyclic and aromatic amines (A5, A6, A7, A8, A9) failed to demonstrate significant expression, the only exception being that of A11. In contrast, among the linear amines, A2 and A4 displayed the best results, with lipid A4B2C3 notably yielding the highest expression levels. Remarkably, the comparison of amines A1 and A4, which are differenced by just one single methylene unit, resulted in an almost 5-fold increase in expression for lipid A4B2C3 over A1B2C3, emphasizing the role of the number of methylenes between the tertiary amine and the primary amine of Ai in the lipid performance27.
With regards to the hydrophobic tails (stemming from Ck), we confirmed the previously observed trend for Bj, with the butyloctanoate derived branched acrylate (C3) yielding the lipids with highest expression levels. Additionally, linear 18-carbon monounsaturated (C1) also showed promising results in vivo. We also noticed that when shorter acrylate chains were used, the in vivo expression decreased up to 60 times, irrespective of it being branched or linear, this including isooctyl (C7), ethylhexyl (C2), and linear octyl (C6). Moreover, intermediate length chains (C5 and C4, 12 and 14 carbons in length, respectively), led to higher expression compared to shorter chains, yet the expression remained three times lower than C3 and C1. This suggests that longer chains, featuring unsaturations or branches in the hydrophobic moiety Ck, might be necessary to achieve the desired electronic and steric balance in the STAAR lipids.
In relation to physicochemical parameters of LNPs, observed sizes ranged from 150 to 230 nm, with the majority falling beneath 190 nm. Polydispersity indexes mostly lay below 0.25, while ζ potentials ranged between 5 mV and -25 mV, with all lipids but four exhibiting a negative ζ potential. mRNA encapsulation rates varied from 20% to 100% (Supplementary Table 2). Notably, lipids with higher activity achieved encapsulation rates between 60% and 80% (with a direct pipetting method), hence suggesting this might represent the optimal encapsulation range for STAAR lipids LNPs in the screening phase. Moreover, we noted that even though employing an amine featuring two ionizable groups (A5) as lipid head results in high encapsulation rate, this does not reflect in its performance, as the in vivo activity was found to be 2 to 30 times lower compared to lipids containing amine A4, which contains only one ionizable group.
Fine-tuning of the ionizable lipid structure
After identifying A4B2C3 as the most effective ionizable lipid in the two-phase screening, further structural studies were conducted to assess the impact of hydrophobic chain lengths and functional groups and their roles in influencing lipid performance.
Assessment of the hydrophobic tails of lipid A4B2C3
Therefore, the first step in this optimization started with the variation of the hydrophobic chains to gain insights into structure-activity relationships. Following the same synthetic approach as in the screening phase, we synthesized and purified eight new ionizable lipids, hence introducing three distinct branched chain lengths via the Bj and Ck moieties (Fig. 3a). Having optimized the lipid structure in the initial phases, for these refining phases we relied on microfluidic techniques as a way to confirm the previous conclusions while keeping the formulation process precisely controlled. Nanoparticles were obtained with sizes ranging from 80 to 130 nm, with the majority being under 100 nm, and they exhibited high encapsulation efficiencies (90-99%, Supplementary Table 4). Thus, a purified batch of the optimized lipid A4B2C3 along with these new 8 lipids were formulated into LNPs along with two separate controls. Even though both controls used MC3 as ionizable lipid in the same molar and N/P ratios as the screened lipids, one of them included DOPE as helper lipid (same as the formulated STAAR lipids), namely MC3 DOPE, whereas the other one replicated the MC3 LNP benchmark by using DSPC. Remarkably, the protein expressions found for eight out of these nine STAAR lipids were comparable or higher than the MC3 (DOPE) LNP. Moreover, when comparing the in vivo results to those of the MC3 benchmark LNP26 (Supplementary Table 3), all lipids except one showed higher expression than the benchmark. Among these, the result for A4B2C8 (known as CP-LC-0729) was particularly striking, as it demonstrated an expression value 6.4 times higher than the benchmark control (Fig. 3b). The exception was observed with lipid A4B4C3, characterized by the shortest hydrophobic chain combination, and for which the expression dropped to 0.034 times relative to the MC3 benchmark. The results suggest that a tail with a minimum carbon number may be necessary for achieving high protein expression, aligning with the trend observed during the two-phase screening, where shorter chains such as C2, C6, and C7 consistently resulted in lower protein levels.
Influence of functional groups in the structure-activity relationship of STAAR lipids
After exploring the impact of altering the hydrophobic chains and identifying lipid CP-LC-0729, which contains two branched chains (B2, C8), as the best candidate for high-performing in vivo activity, our focus then shifted to study the functional groups within the structure. As previously reported in literature, certain bonds, such as esters, play a pivotal role in endosomal escape and degradation pathways28–31. Taking advantage of the chemical versatility of STAAR lipids, which allows for modular modification of functional groups, we investigated how the nature of specific bonds can influence the performance of the STAAR lipids. Aside from the ionizable amine in the polar head, all the synthesized lipids during the two-phase screening display an identical distribution of functional groups: two amide bonds (located in positions termed α and β), one ester bond and a thioether bond.
To explore the roles of amide and ester bonds in α and β positions,32,33 we synthesized and purified structural variations of CP-LC-0729 as depicted in Fig. 3c. These products were subsequently formulated with the same N/P and lipid ratios used in the initial screenings, employing microfluidic mixing.
As a first step, we inverted the C-N carbonyl order of the β amide bond (CP-LC-0729-03) resulting in a threefold reduction of in vivo protein expression compared to CP-LC-0729 (Fig. 3c and 3d). Then, to further explore the role of the α amide bond, lipid CP-LC-0729-02 was synthesized, where the α amide is methylated, resulting in a 3.4-fold decrease of in vivo expression. In the next step, the amide bonds were partially or completely substituted with ester bonds in CP-LC-0729-01, CP-LC-0729-04 and CP-LC-0729-05. In this case, we noticed a significant decrease in effectiveness—by two orders of magnitude—when replacing both amides (α and β positions) with ester groups in CP-LC-0729-05 (Fig. 3d). This change resulted in the lowest performance among the proposed variations. As a middle-ground case, when combining an amide and an ester group, the in vivo performance was dependent on relative position of the groups, yielding intermediate outcomes. Thus, these results indicated that preserving the α amide bond (CP-LC-0729-04) led to better expression results than replacing it with an ester group (CP-LC-0729-05). Remarkably, the protein expression value of the methylated α amide lipid CP-LC-0729-02 was on par with CP-LC-0729-03 and CP-LC-0729-04.
Regarding the LNP physicochemical characterization, we noticed that altering the α amide bond led to lower LNP pKa. Specifically, pKa values were the lowest for CP-LC-0729-05 (pKa=5.48) and CP-LC-0729-01 (pKa =6.12). Additionally, a similar trend was observed when measuring ζ potential, as CP-LC-0729-05 (ζ=-18.0 mV) and CP-LC-0729-01 (ζ=-10.3 mV) displayed the lowest values of the series (Fig. 3e).
Additionally, to further evaluate the behaviour of lipid CP-LC-0729 in different formulations, an in vivo study using LNPs with different molar ratios of the four lipid components was conducted. The results, detailed in Supplementary Table 7, indicate that CP-LC-0729 performs well even when the molar ratios diverge from the ones used in more conventional formulations, highlighting its versatility.
Additional biological assays of the top-performing ionizable lipid CP-LC-0729 LNP.
In vivo safety profile of lipid CP-LC-0729
After selecting the best performing ionizable lipid candidate through the in vivo screening and subsequent optimization phases, different biological assays were carried out to evaluate the safety profile of the candidate, CP-LC-0729. Thus, in vivo toxicity assays on CP-LC-0729 LNPs were conducted to assess any potential organ damage by measuring liver enzymes (ALT, AST, ALP) and kidney function (UREA) at 24 and 48h after systemic injection at a high dose (2.5 mg/kg). When compared to the PBS buffer used as a control, CP-LC-0729 LNPs showed no significant impact on the levels of these enzymes (Fig. 4a). The change in mice body weight was monitored for 15 days post-inoculation, revealing no apparent differences compared to the negative control (PBS buffer) (Fig. 4b).
Evaluation of cell internalization of CP-LC-0729 LNPs
To gain deeper insights into the mechanisms of cell internalization, the endocytosis pathways of CP-LC-0729 LNP were examined in vitro in hepatic HepG2 cells. Four endocytic pathways were assessed by incubating the LNPs with specific inhibitors for each route before in vitro transfection19. The results show that the uptake of CP-LC-0729 LNPs strongly relies on lipid rafts, as indicated by inhibition with methyl-β-cyclodextrin. Other internalization pathways, such as macropinocytosis and clathrin-mediated endocytosis, showed a smaller contribution. Additionally, genistein did not inhibit uptake, indicating that caveolae-mediated endocytosis is not significant (Fig. 4d). We also conducted hemolysis assays to assess endosomal escape of CP-LC-0729 LNPs through their membrane-disrupting activity under both acidic (pH 6) and physiological (pH 7.4) conditions19,34. These tests showed that CP-LC-0729 LNPs increased hemolysis in the acidic medium up to 90%, ten times higher than the MC3 (DOPE) LNP used as control. In contrast, at physiological pH, the hemolytic activity remained comparable to the control level (PBS) indicating no hemotoxicity. (Fig. 4c)
Extrahepatic organ targeting of CP-LC-0729 using permanently cationic lipids.
Recognizing the critical importance of targeting specific organs for effective therapeutic outcomes, we focused on achieving extrahepatic mRNA delivery to broaden the scope and versatility of ionizable lipid CP-LC-0729 and the STAAR screening platform. As reported by Siegwart and coworkers,22,35,36 the addition of a fifth permanently charged lipid results in selective targeting of the lungs or spleen, attributed to changes in the protein corona and LNP surface charge. Herein we applied a simple approach for the synthesis of a permanently cationic lipid, building upon a STAAR ionizable lipid by means of a single additional step and later carried out a comparative study with what is reported in the literature following the fifth-lipid strategy. Hence, a novel cationic lipid was synthesized, denoted as (+) CP-LC-0729, as it is derived from the methylation of the tertiary amine of the top-performing ionizable lipid CP-LC-0729 (Fig. 5a). Subsequently, the performance of ionizable lipids MC3 and CP-LC-0729 was compared, in LNPs incorporating cationic lipids (+) CP-LC-0729 or the standard commercial alternative DOTAP as fifth lipids, in representative formulations with firefly luciferase mRNA (Fig. 5b)37. As shown in Supplementary Table 5, the cationic lipid molar percentages were compared using LNPs incorporating different proportions of this fifth lipid (30%, 40% and 50% (mol/mol)). The experiments were conducted using microfluidics mixing for LNPs, followed by intravenous administration. LNPs were termed as [cationic lipid (percentage of cationic lipid in molar rate) ionizable lipid] LNP, for example, LNP using DOTAP as cationic lipid at 50% combined with MC3 as ionizable lipid was designated [DOTAP (50%) MC3] LNP.
Regarding the physiochemical properties, LNPs with (+) CP-LC-0729 showed similar values to CP-LC-0729 LNP, including particle size (60-85 nm) and 99 % mRNA encapsulation efficiency. However, we noticed positive surface ζ potentials in (+) CP-LC-0729 LNPs, which varied depending on the cationic lipid ratio used (Supplementary Table 6).
After inoculation, ex vivo assays revealed distinct variations in protein expression in the lungs, depending on the cationic lipid ratio. The [(+) CP-LC-0729 (50%) CP-LC-0729] lipid nanoparticles (LNPs) demonstrated remarkable selectivity for the lungs, achieving 88% selectivity. Even the [(+) CP-LC-0729 (40%) CP-LC-0729] and [(+) CP-LC-0729 (30%) CP-LC-0729] LNP exhibited strong selectivity, 88% and 82%, respectively (Supplementary Fig 4 and 5), far exceeding the 38% selectivity observed for the benchmark LNP, [DOTAP (50%) MC3].
Moreover, when [(+) CP-LC-0729] was formulated with MC3, the resulting expression levels were twofold lower than when it was combined with CP-LC-0729 (Fig. 5c). Even more remarkably is the fact [(+) CP-LC-0729 (50%) CP-LC-0729] LNP exhibited 32-fold higher luciferase expression compared to the benchmark [DOTAP (50%) MC3] LNP (Fig. 5c). These findings demonstrate that both the selectivity and protein expression of our CP-LC-0729 combinations are significantly superior to the benchmark [DOTAP (50%) MC3] formulation.
Additionally, [(+) CP-LC-0729 (50%) CP-LC-0729] LNP was formulated with a small percentage of the fluorescent probe DiR (dialkylcarbocyanine, 1,1'-dioctadecyl-3,3,3',3'-tetramethylindotricarbocyanine iodide) to track fluorescence and determine LNP biodistribution. Interestingly, while the majority of LNPs were directed to the liver, luciferase expression was observed predominantly in the lungs (Supplementary Fig.6).