We discover that ideal ROMA encapsulation of mRNA into empty LNPs is a comprehensive result of microfluidic flow environment, pH, temperature, and ionizable lipid components (Fig. 3a). In brief, the high-temperature environment in the microfluidic channels leads to a rapid phase transition of empty LNPs27–29, enhancing permeability and fluidity of lipids. Meanwhile, the acidic pH environment in the microfluidic channels induces ionization of ionizable lipids in the empty LNPs with strong positive charges30. These conducive conditions enable the mRNA, which is negatively charged, to be encapsulated into the empty LNPs rapidly (Fig. 3a).
In the conventional production of mRNA vaccines, a crucial prerequisite for achieving a high encapsulation efficiency (E.E.) and monodisperse particle size of mRNA-LNPs is homogenous mixing of precursor mRNA and lipid solutions31. Interestingly, we find this prerequisite is just as important to ROMA encapsulation, however, not enough (Fig. 3a).
We first compare the encapsulation results from three most common mixing conditions: an Eppendorf (EP) tube, a conventional straight microfluidic mixing channel, and an EP tube with vortex stirring (Methods), which represent flow mixing features of static, unidirectional, and stochastically oscillatory, respectively (Fig. 3b). Disappointingly, it turns out that none of these three classical methods can prepare mRNA vaccines that simultaneously meet both high E.E. and monodispersity (Supplementary Fig. S5), which are not suitable for clinical use. Cryo-TEM images also clearly indicate that these conventional flow mixing methods fail to prevent, and in some cases even induce aggregation and fusion of mRNA-LNPs during encapsulation (Fig. 3b).
While previous research has provided evidences of pH32, 33and high temperature34–36-induced aggregation and fusion of mRNA-LNPs, our experiment demonstrates that empty LNPs do not aggregate or fuse even under acidic or heated conditions, at least within the timeframe of ROMA encapsulation process (Supplementary Fig. S6). This suggests that the aggregation and fusion of mRNA-LNPs are not solely due to interactions among LNPs themselves but driven by the interplay between mRNA and LNPs. We suppose that the most likely reason is the interaction between positively charged LNPs and negatively charged mRNA.
Hence, we devise a microfluidic channel to address this issue by employing spatially arranged obstacles to periodically alter fluid direction (Fig. 3b, Supplementary Fig. S7-S12). We thus define fluid frequency f as the number of times the fluid changes direction within the microfluidic channel per second. We observe that when f is between 200–7000 Hz, mRNA-LNPs show high E.E., small particle sizes, and narrow size distributions (Fig. 3c, Supplementary Fig. S13). However, E.E. gets soon declined and particle size increases if f is below 200 Hz. This is because that lower f brings a longer duration (Methods, Supplementary Fig. S14) when mRNA and empty LNPs remain in a unidirectional flow state in one cycle, resulting in aggregation and fusion of mRNA-LNPs observed in the conventional mixing conditions (Supplementary Fig. S15). Moreover, for the microfluidic chip with a fixed obstacle pattern, f is decided by flow rate so that lower f means slower flow rate and longer exposure time of mRNA in the high-temperature acidic environment, leading to declination of E.E. and aggregation of LNP (Supplementary Fig. S15) and degradation of mRNA (Supplementary Fig. S16). On the other hand, we notice that excessively high f (> 7000 Hz) can also increase LNP size. We hypothesize that this effect might be attributed to the elevated shear forces generated by higher f (Methods, Supplementary Fig. S14), disrupting the membrane structure of LNPs37–39and subsequently inducing aggregation and fusion.
We find pH and E.E. exhibit a peak-shaped relationship with peaking at pH 4.5 (Fig. 3d). It is well-known that ionizable lipids only yield positive charges to attract negatively charged mRNA in an acidic environment40, therefore, it is easily comprehensible that E.E. is suboptimal under relatively neutral pH (pH > 5.0). However, we observe that excessively acidic pH (pH < 4.0) can be harmful to encapsulation as well. The most plausible explanation is that overly strong electrostatic attraction of mRNA-LNPs at low pH overwhelms repulsive effects of surface PEG groups41, 42 and periodically oscillatory flows and thus results in aggregation and fusion of mRNA-LNPs, which is clearly reflected in the increase of particle size and PDI (Supplementary Fig. S17), as well as Cryo-TEM images (Fig. 3d). Therefore, achieving optimal ROMA mRNA encapsulation is contingent upon maintaining a modest acidic pH range.
As a material consisting of polymer mixtures, empty LNPs exhibit polymer-like temperature-induced phase transition behaviors, a typical characteristic of which is enhanced fluidity of lipids43. Differential scanning calorimetry experiment suggests that our empty LNPs has a critical phase transition temperature (\(\:{T}_{p}\)) range roughly from 39 ℃ to 53 ℃ (Supplementary Fig. S18). Since higher temperature causes faster completion of the phase transition in empty LNPs and improves E.E. of mRNA (Fig. 3e), we believe that the increase in the fluidity of LNP favors its enhanced permeability to mRNA.
It is noteworthy that when the temperature rising from 25 ℃ to 75 ℃, the particle diameter of mRNA-LNPs gradually decreases, with a drastic drop of PDI from approximately 0.3 to 0.03 (Fig. 3e, Supplementary Fig. S19). This indicates that a faster completion of phase transition is not only beneficial for the encapsulation of mRNA but also helps reduce the aggregation and fusion of mRNA-LNPs. Although Cryo-TEM images indicate that structural integrity and uniformity of mRNA-LNPs are inert to high temperature (Fig. 3e), excessively high temperature (e.g., 85 ℃) can be harmful to the integrity of mRNA and then bioactivity of mRNA (Supplementary Fig. S20). This suggests that there may be a critical temperature for significant mRNA degradation (\(\:{T}_{d}\)) and highlights a temperature-dependent trade-off (\(\:{{T}_{p}<T<T}_{d}\)) between encapsulation and degradation speed of mRNA in ROMA encapsulation.
We prepare empty LNPs with different molar ratios of ionizable lipids (Supplementary Fig. S21) and observe a proportional increase in E.E. with the higher content of ionizable lipids (Fig. 3f). We particularly note that empty LNPs with 0% ionizable lipids can hardly encapsulate mRNA, even with optimal \(\:f\), pH, and \(\:T\). This emphasizes once again that the electrostatic interaction between ionizable lipids and mRNA is the primary driving force for the encapsulation of mRNA into empty LNPs. In addition, higher content of ionizable lipids also results in smaller particle size and PDI, making them more suitable for clinical applications (Fig. 3f, Supplementary Fig. S22). However, the question of whether ionizable lipids have a monotonic promoting effect on mRNA encapsulation is yet to be explored using empty LNP formulations with higher molar ratios of ionizable lipids in future studies.
As discussed above, ideal encapsulation (shown as green color in Fig. 3c, d, e, and f) is only achieved within a limited range of parameters (proper \(\:f\), pH, \(\:T\), and molar ratio of ionizable lipid). Outside of this comfort zone, non-ideal encapsulation (shown as red color in Fig. 3c, d, e, and f) occurs. However, is there any difference in the self-assembly mechanism between the two states? To answer this question, we measure changes in the number of LNPs before and after encapsulation (Methods). Surprisingly, we see a significant difference in the quantity of mRNA-LNPs between ideal and non-ideal encapsulation conditions. Under ideal encapsulation conditions, the quantity of product mRNA-LNPs is nearly identical to that of initial empty LNPs (Fig. 3g and Supplementary Fig. S23). This implies that mRNA-LNPs maintain their structural integrity well and the minor particle size increase is primarily due to mRNA encapsulation. In contrast, under non-ideal encapsulation conditions, the quantity of product mRNA-LNPs is significantly lower than that of initial empty LNPs, and there are substantial increases in particle size and PDI (Supplementary Fig. S24). This indicates severe fusion and aggregation occur between mRNA-LNPs and the Cryo-TEM results also confirm these facts (Fig. 3c, d, and e). Considering aggregation and fusion of mRNA-LNPs are induced by electrostatic attraction and thermodynamic instability, we propose the crucial factor distinguishing ideal and non-ideal encapsulation mechanism is whether the electrostatic and thermodynamic interactions between LNPs can be delicately balanced.
Real-time quality control is a prerequisite for point-of-care vaccine production. It can be easily concluded that three most important variables determine the result of ROMA encapsulation: \(\:f\), pH, and \(\:T\), which need to be closely monitored during the reaction. According to the design of ROMA prototype, \(\:f\) (decided by preset fluid flow rate and microfluidic chip geometry) and \(\:T\) are controlled and displayed on the touchscreen. Therefore, real-time monitoring and correction of \(\:f\) and \(\:T\) can be easily achieved with minimal risk and the key issue moves forward to the detection of pH. Despite that the small volume and rapid flow pattern make in situ monitoring of fluid pH challenging, interestingly, we find that the fluid pH is closely related to the size of the resulting mRNA-LNPs (Fig. 3h). We further discover that, when the concentration and volume of mRNA and empty LNPs are fixed, the size of resulting mRNA-LNP is qualitatively correlated to its optical density (OD). This trend is clearly reflected as the visual appearance of mRNA-LNPs changing from thick to thin white color with pH increasing in ROMA reaction (Fig. 3h). Therefore, we can establish a quantitative relationship between OD and pH, which inspires us to develop a portable and rapid ROMA detector to provide qualitative test results using green (pass) and red (fail) light signals (Supplementary Video 6, 7, and 8). This ROMA detector, as an immediate and non-invasive means in conjunction with the built-in inspection of \(\:f\) and \(\:T\), effectively ensures the quality of mRNA-LNP upon its production. To our knowledge, such real-time vaccine quality detection function is lacking in other GMP equipment.
It should be noted that, in this article, qualitative judgment criteria of the ROMA detector for OD values are based on a fixed combination of mRNA and LNP (Methods). It can be estimated that as the types of mRNA and LNP change, the OD values of the resulting mRNA-LNP complexes will also vary. In the next step, we plan to test different types of mRNA and LNP and use these results to enrich our database, thereby enhancing the ROMA detector's capability for onsite detection and its clinical translation potential.
We use small-angle X-ray scattering (SAXS) technique to compare ROMA and conventional mRNA- LNPs. Surprisingly, we find that despite ROMA and conventional methods following vastly different mechanisms, both ROMA and conventional mRNA-LNPs have similar sizes (Supplementary Fig. S25) and highly overlapped X-ray scattering patterns (Fig. 3i). Subtracting the X-ray scattering profiles of empty LNPs as background from each sample, we find that the resulting X-ray scattering profiles of the enveloped mRNA are also still closely resembling (Fig. 3i). This trend has been further confirmed by confocal microscopic imaging results (Fig. 3j) that the morphology, fluorescence intensity and pattern of ROMA and conventional LNPs containing the same mass ratio of mRNA are alike. This evidence strongly indicates that ROMA LNPs and traditional LNPs have highly similar physical structures and inner mRNA distributions, which makes ROMA LNPs a seamless alternative to traditional LNPs.