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. Author manuscript; available in PMC: 2025 Dec 27.
Published in final edited form as: Proc Natl Acad Sci U S A. 2025 Dec 2;122(49):e2511741122. doi: 10.1073/pnas.2511741122

Erasable serum markers

Shirin Nouraein a,b,c, Honghao Li a,b, Sangsin Lee a,b, Vidal A Saenz a, Emma K Raisley a,b, Sho Watanabe a,b, Vincent D Costa d,e, Jerzy O Szablowski a,b,c,f,1
PMCID: PMC12704721  NIHMSID: NIHMS2130060  PMID: 41329742

Abstract

Gene expression in the brain is typically evaluated using invasive biopsy or postmortem histology. Serum markers provide an alternative way to monitor the brain, but relatively few such markers exist. Additionally, the origin of serum markers often cannot be localized to a specific cell population, and monitoring dynamic changes in their gene expression is compromised by the same factor that makes the markers detectable—long serum half-life. Here, we propose a paradigm to improve the sensitivity of serum marker measurement by modifying them with an external chemical stimulus. As a proof of concept, we use a well-controlled system with known half-life and tunable serum levels. This system, released markers of activity (RMA), or RMAs enables measurement of transgene expression in the brain through a simple blood test. RMAs are stable in blood, with a half-life of >100 h and can detect expression from as few as 12 neurons in mice. However, their long serum half-life also generates detectable background signals when RMA are used to track temporal changes in gene expression. By engineering on-demand erasable RMAs and injecting an intravenous targeted protease, we reduced RMA background signal by more than an order of magnitude without compromising the detection sensitivity. Similarly to previous RMA iterations, our approach showed a 65,000-fold increase in their signal over the baseline when expressed in a single brain region but also improved the dynamic range of detection for low-level promoter activity that is driven by physiological levels of c-Fos.

Keywords: serum marker, gene expression monitoring, temporal resolution


Serum markers are vital tools in diagnostic medicine and in vivo research and can provide insights into the biological and physiological functions of living organisms. The determination of serum marker levels entails a simple blood collection procedure (1), which enables longitudinal studies, where the same individual can be studied over time (2). However, naturally occurring serum markers can only provide information on a selected aspects of bodily functions. Additionally, serum markers often lack the sensitivity or characteristics that would be optimal for their detection. For example, the long half-life of the serum markers in the blood is beneficial to enhance their detectability. However, dynamic changes in these markers’ production rate are muted by long-half-life which leads to long-lasting background levels of markers. While the natural marker properties are usually accepted as they are with all their pros and cons, we propose an alternative paradigm. By modifying the markers in vivo, it may be possible to tune their properties to improve measurement. For example, proteolytic cleavage of injectable synthetic biomarkers in vivo could help diagnose the presence of tumors (3) or lung infections (4) through urinary detection output. An on-demand proteolytic cleavage of specific markers in blood, on the other hand, can reduce the marker background and improve when needed to improve monitoring of markers’ production dynamics. Such cleavage could then be followed by measurement of markers at multiple timepoints to determine the rate of their replenishment and thus the rate of markers’ production. The concept of erasable serum markers (ESM) is applicable to various markers, including those that occur in nature, as long as a specific cleavage enzyme can be found.

As a proof of concept of this paradigm, we decided to use a well-controlled system of synthetic serum markers called released markers of activity (RMA). RMAs are genetically encoded reporters that can be expressed in the brain through gene delivery and secreted across the blood–brain barrier (BBB) (57) into the circulation (8). RMA can be used to monitor the expression of specific genes in the brain by placing them under the control of a specific promoter (8) or RNA-based sensor (9). Specifically, RMA were shown to be useful in observing neuronal activation by monitoring c-Fos (8, 9) or Arc expression (9). Additionally, RMA can be detected with high sensitivity from as few as 12 neurons in the mouse brain with 5 μL of blood (8) and their production rate can be tuned by tying them to various promoters.

The detection of RMAs at a high degree of sensitivity can be attributed to three features. First, RMA are released into the blood, which makes them easily accessible. Second, they can be paired with an easily detectable marker, such as luciferase. Third, they have a long half-life in serum (~100 h), allowing them to accumulate in blood over time. However, this long half-life also results in the prolonged retention of the RMA in the serum, and thus a sustained background signal.

Dynamic changes in gene expression can be discerned by measuring the rate of change in serum RMA levels over multiple timepoints, rather than overall RMA levels, decoupling the half-life of RMAs from their temporal resolution. High background signal, however, limits the dynamic range of measurement. Although the background signal could be lowered by simply reducing the half-life of RMA, such a reduction would also lower the overall RMA levels and thus the sensitivity of measurement. Additionally, the Fc region of the immunoglobulin G (IgG) segment in RMA contributes to their long half-life and facilitates their transfer across the BBB. Therefore, modifications to the Fc region would also impair the reverse transcytosis of RMA across the BBB, preventing the use of RMAs in monitoring gene expression in the central nervous system (CNS).

Herein, we present an innovative solution that enables efficient reverse transcytosis of RMA across the BBB and enables erasable signal without affecting detection sensitivity. To overcome the drawback of the prolonged half-life of RMA, we introduced a protease cleavage site within the RMA Gluc between the luciferase tag and the Fc region of IgG. We call this modified marker fast-erasable RMA (feRMA). The feRMAs can cross the BBB owing to the Fc region but are rapidly cleared from the serum on-demand following the simple injection of a tobacco etch virus (TEV) protease (1015) that separates Fc from the serum-label reporter. Our results demonstrated that over 90% of the feRMA protein was degraded following the expression of TEV protease both in vitro and when secreted from transduced cells. We further explored the kinetics of feRMA expression in the brain over multiple timepoints. We used c-Fos sensing through a robust activity marking (RAM) system (16) to demonstrate the ability of feRMA to record physiological baseline levels of c-Fos to show the sensitivity of this measurement. Overall, the results showed that feRMA enables erasable, repeatable reduction of the RMA background signal and longitudinal monitoring of targeted gene expression in the brain.

Results

Developing a Prototype Erasable Synthetic Serum Marker.

The feRMA reporter contains three main domains: 1) a cell secretion signaling sequence for exporting the protein outside the cell; 2) an easily detectable tag, and 3) an IgG’s Fc region that allows reverse transcytosis of the reporter from the brain to the blood (Fig. 1A and SI Appendix, Table S1). In our case, we used Gaussia luciferase (Gluc) which is a highly sensitive reporter that is also used in bioluminescent imaging and contains signal secretion sequence and fused it to Fc region of an antibody from a mouse (8, 17, 18). The feRMA design differs from the RMA design in the inclusion of a protease cleavage site between the luciferase marker and the Fc domain (Fig. 1A). Given that the extended half-life of RMA is attributed to the Fc region (8, 19), we posited that the cleavage of the Fc region should reduce the half-life of free luciferase, thereby reducing the background signal. However, because feRMA within the brain is protected from cleavage by the BBB, it can still transcytose into the blood without being modified by the protease. As a result, this feRMA design ensures efficient transcytosis, a long half-life when sensitivity is required, and a shorter half-life on demand achieved by the intravenous injection of TEV protease.

Fig. 1.

Fig. 1.

Schematic depicting the mechanism of fast-erasable released markers of activity (feRMA). (A) feRMA comprises three main components: i) a secretion tag for exporting the protein outside the cells; ii) a detectable protein marker such as Gluc; and iii) Fc, a reverse transcytosis domain that also extends the half-life of the molecule in blood. Components ii) and iii) are linked by a TEV cleavage site, making the protein specifically cleavable by TEV protease. Cleavage of feRMA using TEV protease leads to rapid serum clearance and signal reduction due to the detachment of Gluc from the long-lasting Fc domain. (B) feRMA are genetically encoded proteins capable of crossing the blood–brain barrier (BBB) and entering the bloodstream, where they can be erased using TEV protease or detected through a blood test.

We used a sequence-specific TEV protease in this study (10, 11). TEV protease is commonly used in protein purification protocols to separate proteins from affinity tags (1214). Although TEV protease activity has not previously been validated in circulation, it has been successfully expressed as a transgene in vivo (14, 15). Therefore, TEV protease presented as a feasible proof-of-concept protease for engineering ESMs.

We developed several feRMA constructs by introducing linkers of different lengths between the TEV protease cleavage site and the remainder of the feRMA protein (SI Appendix, Table S1). To confirm that TEV protease can cleave each feRMA construct, 480 pmols of each feRMA construct was incubated for 1 h with 370 pmols of TEV protease. Subsequent analysis using sodium dodecyl sulfate–polyacrylamide gel electrophoresis revealed the presence of an feRMA band (44 kDa) after the incubation of each construct with TEV protease (Fig. 2A). The cleavage efficiencies of feRMA1, feRMA2, and feRMA3 were 92.95 ± 2.11%, 95.04 ± 2.54%, and 94.6 ± 1.85%, respectively (n = 4 each group, P = 0.4008, one-way ANOVA, mean and SEM provided; Fig. 2A and B). We also assessed the ability of feRMA to be released from transfected cells. We expressed three Gluc-TEVcs-Fc constructs under the neuron-specific hSyn promoter in PC-12 cells, a widely used murine cell line for studying neurosecretion (20). Culture media were collected at 120 h posttransfection, and the relative amount of secreted Gluc-TEVcs-Fc in the media was measured using a luciferase assay (Fig. 2C). All three feRMA constructs were detected in the media. FeRMA2 and feRMA3 exhibited a higher luciferase signal than feRMA1. No significant difference was observed between the expression levels of feRMA2 and the regular RMA protein marker (Fig. 2C). These results indicate that the designed feRMA constructs can be effectively cleaved by TEV protease and expressed in mammalian cells.

Fig. 2.

Fig. 2.

In vitro cleavage of feRMA, (A) SDS–PAGE testing the cleavage of feRMA proteins with TEV protease for 1 h at 37 °C. Product concentrations were calculated from the intensities of the bands. (B) Results indicated an average cleavage efficiency of 92.95 ± 2.11%, 95.04 ± 2.54%, and 94.61 ± 1.85% for feRMA1, feRMA2, and feRMA3, respectively (n = 4 each group, F2,9 = 1.014, P = 0.4008, one-way ANOVA), upon exposure to TEV protease. Control feRMAs were not treated with TEV protease. (C) feRMA secretion by PC-12 cells at 120 h post transfection. Relative luminosity unit (RLU) values measured from the culture media revealed the signal peptide–dependent secretion of Gluc-TEVcs-Fc RMA constructs. n = 3 independent cultures were analyzed. In comparison with the signal at different time points, using two-way ANOVA, with Tukey’s test [F4.8 = 26.35, P = 0.0001, P = 0.0951 (feRMA2 vs. RMA), P = 0.0007 (feRMA1 vs. RMA), P = 0.0076 (feRMA3 vs. RMA)]. Means and SE of the mean (SEM) are presented in bar graphs. Nonsignificant comparisons not shown for clarity.

feRMA Can Be Secreted From the Brain Into the Blood.

To assess the translocation of feRMA proteins from the brain into the blood, we directly injected feRMA proteins (20 pmols) into the caudate putamen (CP) of mouse brains. We expected the feRMA proteins to reverse-transcytose across the BBB, a process mediated by the interaction between the Fc domain and the neonatal Fc receptor (21), as demonstrated in our previous studies (8, 9) (Fig. 3A). Blood was collected at 2, 6, 12 (for feRMA2 and feRMA3), and 24 h postinjection. Within 6 h postinjection, the plasma concentrations of all three Gluc-feRMA constructs significantly increased (feRMA1 ****P < 0.0001, feRMA2 **P = 0.0013, and feRMA3 **P = 0.0059 one-way ANOVA; SI Appendix, Fig. S1). The mice were euthanized after 24 h through cardiac perfusion. Their brains were sectioned for histology and immunostained with anti-Gluc antibody. Gluc-feRMA was not detected in the brain sections, suggesting the complete export of feRMA proteins from the brain (SI Appendix, Fig. S1). Further, although all three feRMA protein constructs successfully crossed the BBB, feRMA2 exhibited a significantly higher luciferase signal in the bloodstream at 6 h compared with the other constructs (***P = 0.001 for feRMA1 vs. feRMA2 and ***P = 0.0004 for feRMA2 vs. feRMA3, n = 4, F2,36 = 29.84, P < 0.0001, two-way ANOVA, means and SEM provided; Fig. 3B). Based on these results and those of our in vitro tests (Fig. 2), we chose feRMA2 for further experiments.

Fig. 3.

Fig. 3.

Brain-to-blood transcytosis of the TEV protease–cleavable feRMA reporter. (A) Experimental scheme for testing the reverse transcytosis of feRMA across the BBB into the bloodstream. (B) Plasma concentration of feRMA measured from the collected blood after injecting 20 pmols of feRMA constructs into the caudate putamen of mice brains. N = 4 mice per group were analyzed. Two-way ANOVA for comparing all three constructs at different timepoints (***P = 0.0001 for feRMA1 vs. feRMA2 and ***P = 0.0004 for feRMA2 vs. feRMA3 at 6 h. P-values obtained using two-way ANOVA (F2,36 = 29.84, P < 0.0001) with Tukey’s test. **P < 0.01, ***P < 0.001. ****P < 0.0001). (C) Experimental scheme for testing the in vivo cleavage of feRMA. d, Plasma concentration of feRMA proteins before (2 h) or after 12 nmol of TEV injection (6 h, 12 h, 24 h). N = 6 independent mice were analyzed. P = 0.0052 according to one-way ANOVA (F1.017,5.086 = 21.84) using Sidak’s test for comparing the fold-change in the signal at 2 h with that at 6 h. Means with SEM values presented in the bar graphs.

Next, we evaluated the cleavage of the feRMA protein in vivo following an intravenous injection of TEV protease (Fig. 3C). Because the activity of TEV protease has not been tested in vivo, we started with a low dose. We administered a vehicle and two doses of TEV protease (12 pmols and 12 nmols) through the tail vein 2 h after feRMA protein injection. The feRMA dose was maintained at 20 pmols. The vehicle control group showed a significant drop in feRMA levels (1.34 ± 0.17-fold, P = 0.0022, one-way ANOVA, means and SEM provided; SI Appendix, Fig. S2B) owing to the clearance of the protein from the blood (8). Interestingly, treatment with 12 pmols of TEV protease did not significantly decrease feRMA levels (P = 0.8844, one-way ANOVA, means and SEM provided; SI Appendix, Fig. S2B); however, treatment with 12 nmols of TEV protease significantly reduced feRMA levels 4 h after protease injection (10.42 ± 0.21-fold, P = 0.0052, means and SEM provided, one-way ANOVA; Fig. 3D).

Tracking Gene Expression in the Brain Using feRMA.

We hypothesized that feRMA can be used to track transgene expression in the brain using a blood test. To test this hypothesis, we encoded the feRMA construct in PHP.eB, a BBB-permeable AAV (22), under a neuron-specific human synapsin (hSyn) promoter (23). In addition, we placed the coding sequence of green fluorescent protein (GFP) downstream of an internal ribosome entry site (IRES) to allow the facile quantification of transduction efficiency, a strategy employed in our previous study (8). We injected 2.3 × 109 (200 nL) of viral particles (VP) per g of body weight encoding feRMA directly into the brains of mice divided into three groups according to the site of injection: CP, cornu ammonis of the hippocampus (CA1), or substantia nigra (SN) in the midbrain region.

We collected blood samples from each mouse at five time points, namely, baseline, 1 wk after AAV injection, 30 min after TEV protease injection at the end of week 1 (Week 1 + TEV), 3 wk after AAV injection, and 30 min after TEV protease injection at the end of week 3 (Week 3 + TEV; Fig. 4A). All blood samples were frozen after collection and simultaneously subjected to the luciferase assay.

Fig. 4.

Fig. 4.

feRMA provides an erasable signal that enables the monitoring of gene expression in multiple brain regions. (A) Experimental scheme for detecting gene expression in the brain using feRMA. Blood was collected from mice to establish the baseline luminescence level. Then, AAVs encoding Gluc-feRMA were injected into the striatum, hippocampus, or midbrain of the mice. At 1 to 3 wk after injection, blood was collected to measure the Gluc-feRMA signal. Immediately afterward, TEV protease was injected intravenously, and blood was collected 30 min later to verify the erasure of feRMA. (B) feRMA levels were normalized to the pre-AAV injection baseline, shown before and after TEV protease administration (striatum group, n = 6). (C) Representative images of ipsi- and contralateral showing the striatal expression of feRMA (red), expression of GFP mediated by an internal ribosome entry site (IRES) downstream of feRMA (green), and a nuclear costain (DAPI, blue) at the site of delivery. (D and E) Replication of the experiment described in panels B and C with feRMA expression in the CA1 region of the hippocampus (n = 4) and (F and G) the substantia nigra of the midbrain (n = 4). Blue circles indicate the target injection sites. The numbers between each bar refer to the fold change in feRMA signal following injection of TEV protease. Overall effects of TEV on the feRMA signal was assessed using a mixed-effects ANOVA for CP [F(1, 3) = 9.6001, P = 0.0269], CA1 [F(1, 3) = 46.8714, P = 0.0064], and SN [F(1, 3) = 39.7524, P = 0.0086]. Pairwise comparisons assessed effects of TEV protease administration at 1 and 3 wk, respectively: CP (P = 0.019 and P = 0.0347; panel B), CA1 (P = 0.0058 and P = 0.0065; panel D), and SN (P = 0.008 and P = 0.0061; panel F). Means with SEM presented in bar graphs. C, E, and G): Gluc-feRMA expression at the local injected sites at 3 wk. (Scale bar, 100 μm.)

The luciferase assay confirmed protein expression as early as at week 1 following gene delivery in all three experimental groups. Compared with the baseline, the luciferase signal increased by 65,524 ± 20,027-fold, 28,308 ± 4,066-fold, and 63,510 ± 10,382-fold in the CP, CA1, and substantia nigra groups, respectively (means ± SEM). The feRMA levels significantly decreased in all the three groups at 30 min post TEV protease injection, as evidenced by a reduction in the background signal (Fig. 4 BG).

After 3 wk, the brains were harvested and sectioned for the histological analysis of feRMA transduction. GFP was used as a more robust tissue marker to monitor transduction instead of Gluc because of the possibility of Gluc-feRMA transcytosing out of the brain into the blood, thereby reducing detectable Gluc protein in the brain. All three targeted regions displayed significantly more GFP-transduced cells compared with contralateral controls, confirming the success of AAV delivery (SI Appendix, Fig. S3 BD).

Overall, our results demonstrate that intravenous administration of TEV protease successfully cleared most of the feRMA molecules from the blood within 30 min of injection at two different timepoints. Moreover, the designed feRMA constructs could successfully monitor transduction in the brain, with signal levels comparable to those obtained using RMA (8).

feRMA Improves the Dynamic Range for Measuring c-Fos Expression.

Minimally invasive monitoring with RMA is particularly useful for observing long-term changes in gene expression. We hypothesized that reducing the background signal using feRMA will enable more effective measurement of gene expression in mice over multiple timepoints. Specifically, given that RMA used in previous studies could only monitor strong neuronal activation with chemogenetic activation (8, 19), we were interested in determining whether feRMA could accumulate over time when monitoring low baseline levels of c-Fos activity. Accordingly, we designed a proof-of-concept experiment evaluating feRMA expression in response to baseline neuronal activity in the brain. To gate the recording to a specific time frame, we used the RAM system (16)—a doxycycline (Dox)-dependent Tet-Off system—to couple the feRMA reporter gene to a synthetic Fos promoter (16). In the RAM system, the presence of Dox suppresses the expression of feRMA regardless of c-Fos levels. Dox removal, on the other hand, allows the expression of feRMA in response to c-Fos activation (8, 16). We prepared two AAV-PHP.eB constructs: one encoding the hM3Dq and RAM system under the hSyn promoter and the other encoding the feRMA system under the tetracycline response element (TRE) promoter. Additionally, IRES was added downstream of feRMA to allow for expression of intracellular GFP under TRE to allow for histological analysis of c-Fos activation (Fig. 5B). Both constructs were coinjected into the CA1 region of the hippocampus in mice. The mice were initially fed a Dox-containing diet starting at 48 h before virus injection. This diet was replaced with a Dox-free diet at 72 h before the beginning of recording. Blood samples were collected at five timepoints, namely, immediately after Dox withdrawal (baseline) and at 48, 48.5, 96.5, and 97 h. Half of the mice received vehicle (Fig. 5C), while the other half received TEV protease at 48 and 96.5 h following Dox withdrawal to evaluate the erasure of the feRMA signal (Fig. 5D).

Fig. 5.

Fig. 5.

feRMA improves the dynamic range of measurement of baseline c-Fos expression. (A) Experimental timeline for the detection of c-Fos expression in the hippocampus using feRMA. Initially, the mice received a Dox-containing diet to suppress the production of RMA. After 48 h, AAVs were injected into the CA1 of the mouse hippocampus to express feRMA genes. A week later, Dox was withdrawn to enable feRMA to measure the average baseline c-Fos activity in the hippocampus. A blood sample was collected 48 h later, TEV protease or vehicle was administered intravenously, and a second blood sample was collected 30 min later. The experiment was repeated 48 h later. (B) To record c-Fos activity, we used the robust activity marking (RAM) system. In the RAM system, a tetracycline transactivator (d2tTA) is expressed under control of synthetic Fos promoter, which drives the expression of Gluc-feRMA in the absence of Dox. hM3Dq refers to a chemogenetic receptor, i—to an IRES, and GFP—to a green fluorescent protein. (C) In the absence of TEV protease, the feRMA signals did not differ significantly between the repeated blood samples collected 30 min later [F(1, 8) = 0.2387, P = 0.6396]. However, feRMA levels significantly increased in the serum between 0 and 48 h and between 48 and 96.5 h after Dox withdrawal [F(1, 8) = 34.988, P = 0.0004, N = 9]. (D) Administration of TEV protease significantly reduced feRMA levels within 30 min [F(1, 7) = 14.5108, P = 0.0066], at both the 48- and 96.5-h timepoints [48: F(1, 9) = 83.8631, P < 0.0001; 96.5: F(1, 9) = 144.169, P < 0.0001]. feRMA also accumulated over time [F(1, 7) = 22.4108, P = 0.0004] N = 8. (E) Before the administration of TEV protease, the average rate of accumulation of the feRMA signal over 48 h was comparable between the vehicle and TEV protease groups (P = 0.098, two-tailed unpaired t test). (F) Administration of TEV protease suppressed the baseline signal and increased the dynamic range of measurement over the next 48 h, showing a significantly higher fold-change increase in RMA signal (P < 0.0001, two-tailed unpaired t test). (G) Representative images of GFP expression in both vehicle and TEV protease–treated groups H, GFP expression in the RAM system is driven by the same c-Fos-dependent circuit as feRMA, turning GFP into a proxy of c-Fos activity. We found that GFP levels were comparable between the vehicle and TEV protease–treated groups of mice. ns, P > 0.05; *P < 0.05; **P < 0.01; ***P < 0.001. ****P < 0.0001. Panels C and D evaluated effects using repeated-measures ANOVA. Panels E and F used two-tailed between group t test. Means with SEM presented in bar graphs.

In the absence of TEV protease, there was an equivalent increase in the feRMA signals measured 30 min apart after 48 and 96 h [F(1, 8) = 0.2367, P = 0.6396] and the feRMA signal at 96 h was significantly higher than that at 48 h [F(1.8) = 34.9880, P =0.0004]. This contrasted with the effects of injecting the TEV protease. At both 48 [F(1, 9) = 93.8631, P < 0.0001] and 96 h [F (1, 9) = 144.169, P < 0.0001], the TEV protease injection reduced the feRMA signals relative to signals measured 30 min prior to TEV protease injection [F (1, 7) = 130.1980, P < 0.0001]. Despite the TEV protease-mediated reduction in the feRMA signal at 48 h, the feRMA signal continued to increase and was larger at 96 h than at 48 h [F(1, 7) = 22.4108, P = 0.0004]. Although, the fold increase in the feRMA signal between 48 and 96 h was smaller in the group administered TEV (1.52-fold) vs. vehicle (1.82-fold).

Next, we assessed whether the injection of TEV protease increases the rate of signal accumulation over time. We found that before the injection of TEV protease (0 to 48 h after Dox withdrawal), the vehicle and TEV protease groups did not differ significantly in terms of the feRMA signal (P = 0.057, 1.3-fold, Fig. 5E). However, in the next 48 h following the injection of TEV protease or vehicle, the feRMA signal in the TEV protease group significantly increased by 5.5-fold (P < 0.0001, two-tailed unpaired t test, Fig. 5F).

To verify that the transduction and neuronal activity were comparable between the experimental groups, the brain sections were immunostained with GFP. As expected, we observed no significant difference in the expression of intracellular GFP between the TEV+ and TEV− groups (P = 0.115, two-tailed unpaired t test, Fig. 5G and H).

By confirming that feRMA can measure the activity of c-Fos changes at its baseline induction, we evaluated whether feRMA levels increase after chemogenetically induced c-Fos expression. To achieve this, we used hM3Dq—an excitatory designer receptor exclusively activated by designer drug (DREADD) which was coexpressed on the plasmid with RAM promoter and tTA (Fig. 5B). We activated the hM3Dq with clozapine-N-oxide (CNO), a molecule whose metabolite is known to induce c-Fos in neurons (24, 25) and expected induced production of both feRMA and EGFP.

We administered the CNO intraperitoneally twice, separated by 48 h wait time, to demonstrate repeated activation of feRMA production and compared it to a vehicle group. Luciferase assay on the extracted serum showed significant increases in feRMA levels compared to the baseline within first and second 48 h of each CNO administration (P < 0.0001, 2.48-fold for 0 to 48 h and P = 0.0001, 2.34-fold for 48 to 96 h, two-tailed unpaired t test, SI Appendix, Fig. S4 CE). Interestingly, the effects on the feRMA signal changes due to c-Fos induction were smaller than the benefit of the TEV injection (2.34 to 2.48-fold vs. 5.5-fold, respectively).

To confirm the induction of c-Fos in the brain and analyze whether feRMA levels can predict neuronal activation in the brain, we performed histology staining for Gluc and GFP in brain sections at 96 h after the first CNO injection. Since GFP in the RAM system integrates c-Fos activity over extended periods of time, we use its signal as a proxy of average c-Fos activity (16).

Our analysis showed a correlation between Gluc intensity and GFP+ cells at 96 h after the initial CNO injection (R = 0.81 for CNO+ and R = 0.7 for CNO−; SI Appendix, Fig. S4 F and G).

Discussion

Recent advancements in protein engineering have enabled the monitoring of gene expression in the brain (26). However, most of the newly developed approaches face challenges in sensitivity and the specific targeting of brain regions (27). Bioluminescent imaging is a promising candidate for monitoring gene expression; however, its effectiveness is limited by attenuation of signal through the skull and the need for bioluminescent substrates to cross the BBB (28). RMA have emerged as a sensitive tool for the noninvasive monitoring of gene expression in the brain. The sensitivity of RMA is partly attributed to their long serum half-life (8). However, their long half-life limits the dynamic range of measurement during the temporal monitoring of changes in gene expression. The presence of long-lasting background levels of RMA leads to blunted responses to changes in gene expression. To address this limitation without compromising the sensitivity of RMA, we engineered a marker called feRMA by modifying the original RMA to reduce its half-life on demand. This was achieved by inserting a TEV protease cleavage site to separate the Gluc detection label from the RMA domain, enabling the reverse transcytosis of the marker and its stabilization within the serum (8, 29, 30).

The results of our tissue culture experiments demonstrated that all the designed Gluc-TEVcs-Fc variants accumulated in the culture media over time, with no significant differences between the levels of the variants and those of the main RMA marker (31). This indicated that fusing TEVCS to Gluc-Fc does not compromise the ability of the marker to be secreted. Furthermore, we observed that all the variants could cross the BBB and enter the bloodstream, as evidenced by the bioluminescence signals detected in mice serum. All the variants successfully crossed the BBB, and this reverse transcytosis occurred within 2 h of intracranial injection.

Upon injection of the marker in the CP of the striatum, feRMA signals were significantly elevated compared with the baseline. Notably, the feRMA2 construct crossed the BBB more efficiently than feRMA1 and feRMA3. This can be attributed to the varying sizes of the GS linker, which potentially affects the efficiency of reverse transcytosis as has been shown for engineered antibodies (32). Further, feRMA expressed in the brain through AAV delivery was rapidly cleared from the serum following the injection of TEV protease. Approximately 86.5 to 93.2% of the feRMA signal was quenched within the first 30 min following a single intravenous administration of TEV protease.

The ability to monitor dynamic changes in gene expression in the brain is critical for connecting the behavior and its cellular basis and identification of new drug targets (33, 34). Here, we confirmed that feRMA can be released from various brain regions into the bloodstream with a measurable signal. Our results also demonstrated that feRMA could be rapidly cleared from the blood upon exposure to TEV protease. Additionally, even after signal elimination, the protein levels continued to rise following cleavage, suggesting that the protein continues to be secreted and delivered into the bloodstream owing to the activity of the promoter. We found that repeated feRMA cleavage was possible. We tested the activity of TEV protease in 1 wk after feRMA expression and 2 wk later as well to examine whether immunization against a TEV protein could prevent cleavage. We found that the feRMA baseline signal continued to reduce even after the second administration of TEV protease.

We established that the feRMA approach improves the dynamic range of measurement when paired with weakly expressed promoters, such as the RAM system promoter for measuring the baseline activity of c-Fos in the mouse hippocampus. Relative to the feRMA signal in the vehicle control group, the signal in the TEV protease group increased significantly by 5.51 ± 0.245-fold (means and SEM provided, P < 0.0001, two-tailed unpaired t test with unequal variance). This result suggests that feRMA can be used to monitor moderate levels of neuronal activity, whereas previously, RMA were shown to be useful after strong chemogenetic activation (8, 9, 35, 36). At the same time, feRMA retained the ability to detect chemogenetic activation for two injections of chemogenetic ligand in the absence of TEV injection (SI Appendix, Fig. S4).

In the current proof-of-concept study, only readout is noninvasive, while gene expression was delivered locally using surgical injections, similarly to how gene therapies are being administered in many clinical trials. However, our previous data (8) show that RMAs can report expression in the brain following delivery of BBB-permeable AAVs, such as php.eB (22). While whole-brain delivery with php.eB resulted in 5 to 10-fold lower RMA levels than a single intraparenchymal injection, we also found that delivery of php.eB can be enhanced more than 10-fold with simple changes to the immune system (37). Similarly, site-specific delivery is also possible with focused ultrasound BBB opening (FUS-BBBO), which has been used to deliver AAVs locally (38) or throughout the brain (39, 40), in multiple animal models including nonhuman primates (41).

Future research could expand on the concept of modifiable serum markers. For example, by proteolytic cleavage, one can reduce the background signal of the markers. Similarly, by inducing the production of markers in a specific site of the body with a drug and observing the changes in serum, one can infer the underlying cellular signaling of that site.

Finally, by binding or chemically modifying the serum markers in vivo, one can also extend their half-life to improve the detection at the cost of temporal resolution. Overall, feRMA demonstrated sensitivity comparable to that of unmodified RMA but with the added feature of a tunable half-life, making them well-suited for neuroscience applications requiring repeated measurement of gene expression. While we focus on RMAs to show the benefits of the ESM concept, the paradigm of modifying the markers in vivo to improve their detection is broadly applicable to either natural or synthetic serum markers. Future research will focus on identifying how in vivo modifications of naturally occurring serum markers can enhance their diagnostic utility.

Materials and Methods

Animals.

Wild-type male and female C57BL/6 J mice, aged 9 to 12 wk, were purchased from Jackson Laboratory (Bar Harbor, ME). Animal experiments were conducted in accordance with the guidelines of the NIH and approved by the Institutional Animal Care and Use Committee of Rice University. The study followed American Veterinary Medical Associations (AVMA)-approved euthanasia methods (42).

Plasmid Construction.

To construct pET28a-T7-feRMA-6xHis for protein purification, our previous plasmid pET28a-T7-RMA-6xHis was digested with XcmI and NcoI to obtain its backbone. The feRMA fragment (Gluc-TEVcs-IGg1 FC) purchased from Twist inc was amplified using PCR and inserted into the digested backbone using Gibson assembly.

To construct AAV-hSyn-feRMA (Gluc-Fc), the plasmid pAAV-hSyn-Gluc-RMA-.-EGFP (Addgene, 189629) was purchased and used as an AAV vector to insert the amplified feRMA fragment into the digested backbone using Gibson assembly.

For AAV-TRE-feRMA-IRES-EGFP, AAV-TRE-RMA-IRES-EGFP was digested with PmeI and BamHI to obtain its backbone and the segment feRMA2 (Gluc-TEVcs-IGg1 FC) was used as an insert for Gibson assembly.

PC-12 Culture for Luciferase Assay.

PC-12 cells (American Type Culture Collection, CRL-1721) were cultured in RPMI 1640 medium (Corning, 10-040-CV) supplemented with 10% horse serum (Life Technologies, 26-050-088) and 5% fetal bovine serum (Corning, 35-011-CV). The cells were incubated in an atmosphere of 5% CO2 at 37 °C and passaged every 2Â days at subculture ratios of 1:2 or 1:3 according to the confluency ratio.

For in vitro luciferase assay, PC-12 cells were seeded in 12-well plates at a density of 200,000 cells per well. After 16 to 20 h, the cells were transfected with 1500 ng of plasmids encoding hSyn-feRMA and 3.0 μL of Lipofectamine 2000 (Life Technologies, 11–668-019), following the manufacturer’s protocol. Culture media samples of 50 μL were collected every 24 h up to 120 h and stored at −20 °C. For preparing Gluc substrate, 0.5 mM native coelenterazine stock (Nanolight Technology, 303) containing 66% dimethyl sulfoxide was dissolved in luciferase assay buffer (10 mM Tris, 1 mM EDTA, 1.2 M NaCl, pH 8.0) and stored at −80 °C. Before measuring bioluminescence, the coelenterazine stock was diluted to 20 μM in luciferase assay buffer and kept in the dark at 25 °Cor 1 h. The samples were thawed, and 25 μL of each sample was transferred to a black 96-well plate (Corning). An Infinite M Plex microplate reader equipped with i-control software (Tecan) was used to inject 50 μL of assay buffer containing coelenterazine and measure photon emission integrated over 30 s. The measured values were averaged in Excel (Microsoft) to obtain the light units per second.

Protein Purification.

Protein purification was performed following the protocol described in our previous study (8). Briefly, SHuffle T7 Express chemically competent Escherichia coli cells (New England Biolabs, C3029J) were transformed with the plasmid pET-T7-feRMA(1,2,3)-His. Approximately 16 to 20 h post transformation, a single colony was picked and transferred into 5 mL of Luria Bertani broth. This starter culture was grown overnight at 30 °C in a shaker incubator shaking at 250 rpm. The culture was then transferred into 1 L of Terrific Broth and grown under the same conditions. The optical density of the culture was monitored at 600 nm until it reached 0.5. Subsequently, feRMA expression was induced using 100 μM isopropyl β-D-thiogalactopyranoside, and the cells were cultured for 20 h at 16 °C with shaking at 180 rpm. After harvesting, the cells were resuspended in lysis buffer (300 mM NaCl, 50 mM NaH2PO4, 10 mM imidazole, 10% glycerol, and pH 8.0) containing ProBlock Gold protease inhibitor (Gold Biotechnology) and lysed in a sonicator (VCX 130, Sonics and Materials and Methods). The lysates were centrifuged at 12,000 g for 30 min at 4 °C. The supernatants were incubated with Ni-NTA agarose resin (Qiagen, 30210) and loaded onto chromatography columns (Bio-Rad). The resin was washed, and elution was performed using gravity flow. The proteins feRMA1, feRMA2, and feRMA3 were eluted using lysis buffer containing 500 mM imidazole and buffer-exchanged into phosphate-buffered saline (PBS) using Amicon centrifugal filter units with a 10-kDa cutoff (Millipore Sigma). The purity of the proteins in PBS was finally analyzed using sodium dodecyl sulfate–polyacrylamide gel electrophoresis. Protein concentrations were determined using the bicinchoninic acid protein assay (Thermo Fisher Scientific, 23225).

AAV Production.

PHP.eB AAV virus was packaged according to the protocol described in our previous study (8). Briefly, HEK293T cells (American Type Culture Collection, CRL-3216) were transfected with the transfer plasmid, PHP.eB iCap (Addgene, 103005), and pHelper plasmids. After 24 h, the culture medium was replaced with fresh DMEM (Corning, 10–013-CV) containing 5% fetal bovine serum and nonessential amino acids (Life Technologies, 11140050). At 4 d posttransfection, the cells were harvested and the culture media were collected. Each sample of culture medium was mixed with a fifth of its volume of polyethylene glycol solution (40% polyethylene glycol 8,000, 2.5 M NaCl) to precipitate AAV at 4 °C for 2 h. The harvested cells were resuspended in PBS and lysed using the freeze–thaw method. The precipitated AAV was pelleted via centrifugation, resuspended in PBS, combined with the lysed cells, and incubated at 37 °C for 45 min.

The AAV viruses were purified using iodixanol gradient ultracentrifugation. A Quick-Seal tube (Beckman Coulter, 344326) was loaded with iodixanol (Sigma-Aldrich, D1556) gradients of 60, 40, 25, and 15%. After centrifuging the cell lysate, the supernatant was loaded on top of the iodixanol layers. The tube was sealed and centrifuged at 350,000 g for 2.5 h in an ultracentrifuge (Beckman Coulter) using a Type 70 Ti fixed-angle rotor. The AAV viruses were collected by extracting the 40 to 60% iodixanol interface and washed in an Amicon centrifugal filter unit with a 100-kDa cutoff (Millipore Sigma). The final AAV virus solution was obtained by filtering through a 0.22-μm polyether sulfone membrane. Viral titers were determined using quantitative PCR.

Stereotaxic Injection.

Intracranial injections were achieved using a microliter syringe equipped with a 34-gauge beveled needle (Hamilton) connected to a motorized pump (World Precision Instruments) using a stereotaxic frame (Kopf Instruments). To inject feRMA proteins, feRMA constructs (20 pM) were injected into the CP (AP + 0.25 mm, ML +2.0 mm, DV − 3.2 mm) at a rate of 200 nL min−1, and the needle was kept in place for 5 min before taking it out from the injection site. PHP.eB serotype was used in all experiments involving AAV injections. To deliver AAV encoding hSyn-feRMA-IRES-GFP, 2.3 × 109 vp/g in a volume of 200 nL was injected per site at a rate of 600 nL min−1 to the following coordinates: CP in the striatum (AP + 0.25 mm, ML + 2.0 mm, DV − 3.2 mm), CA1 in the hippocampus (AP − 1.94 mm, ML + 1.0 mm, DV − 1.3 mm), and substantia nigra in the midbrain (AP − 3.28 mm, ML + 1.5 mm, DV − 4.3 mm).

For chemogenetic neuromodulation, mice were fed 40 mg kg−1 Dox chow (Bio-Serv) 48 h before surgery. The following AAV plasmids were used: hSyn-hM3Dq-RAM-d2tTA (2.0 × 109 vp/g) and TRE-Gluc-feRMA-IRES-GFP (2.0 × 109 vp/g). For each surgery, the AAV cocktail was prepared in a volume of 450 nL and injected over 1 min. Dox chow was withdrawn 48Â h before blood collection as a baseline to record the neuromodulation.

Blood Collection for Luciferase Assay.

Mice were anesthetized in 1.5 to 2% isoflurane in air or O2. Subsequently, 1 to 2 drops of 0.5% ophthalmic proparacaine were applied topically to the cornea of one eye. A heparin-coated microhematocrit capillary tube (Thermo Fisher Scientific, 22–362566) was used for blood collection. The tube was placed into the medial canthus of the eye, and the retro-orbital plexus was punctured to withdraw 50 to 100 μL of blood. The blood samples were centrifuged twice at 1,500 g for 10 min to separate the plasma. For the luciferase assay, 5 μL of plasma was mixed with 45 μL of PBS + 0.001% Tween 20 in a black 96-well plate. The bioluminescence of Gluc-feRMA was measured using a microplate reader after injecting 50 μL of 20 μM coelenterazine dissolved in luciferase assay buffer.

Drug Administration.

Water-soluble CNO (Hello Bio, HB6149) was dissolved in saline (Hospira) at concentration of 1 mg ml−1. To induce chemogenetic activation of mice expressing hM3Dq, CNO was injected intraperitoneally at 2.5 mg kg−1 dose. For the vehicle (0 mg kg−1) groups, saline was injected intraperitoneally at the same dose of CNO.

Histological Imaging and Analysis.

Mice brains were extracted and fixed overnight in 10% neutral-buffered formalin (Sigma-Aldrich, HT501128). Coronal sections were cut at a thickness of 50 μm using a vibratome (Leica), stained in blocking buffer (0.2% Triton X-100 and 10% normal donkey serum in PBS) for 2 h at room temperature, probed overnight at 4 °C with primary antibodies, washed thrice in PBS for 15 min, and incubated for 4 h at room temperature with secondary antibody. After a final few washes in PBS, the sections were mounted on glass slides using the mounting medium (Vector Laboratories). The antibodies used were as follows: rabbit anti-Gluc (1:1,500, Nanolight Technology) and Alexa 594 secondary antibody (1:500, Life Technologies).

Images were captured using a BZ-X800 fluorescence microscope (Keyence). Manual cell counting was performed using ZEN Blue software (Zeiss) by a blind observer who was not informed about the experimental conditions. Cells in all other images were counted individually.

Intravenous Injection of Proteins and TEV Protease.

Mice were anesthetized. A catheter equipped with a 30-gauge needle was used for mouse tail vein injections. After penetrating along the mouse vein, the catheter was secured in place using tissue glue. FeRMA was injected through the catheter at a dose of 20 pM, and blood was collected at timepoints of 2, 6, 12, and 24 h. At 2 h post-blood collection, TEV protease was injected at different volumetric doses of 5, 16, and 160 μl. The mice were euthanized after 24 h, and their brains were extracted for histological analysis. For subsequent experiments, TEV protease was administered at a volumetric dose of 160 μL.

Statistical Analysis.

Means between more than two datasets were compared using one-way ANOVA with Tukey’s honestly significant difference post hoc test. Two-tailed unpaired t test with unequal variance was used to compare two datasets. Two-way ANOVA with Sidak’s multiple comparison tests were used to compare datasets with two or more variables. P values were determined using Prism (GraphPad Software), and the following notation was adopted throughout the manuscript: not significant, P ≥ 0.05; *P < 0.05; **P < 0.01; ***P < 0.001; and ****P < 0.0001. P values and statistical test results are available in the source data. Figures were constructed using Adobe Illustrator.

A full mixed-effects model was constructed using JMP Pro software (SAS Institute Inc.) to assess the impact of TEV protease on the fold-change in RMA levels in blood serum across three brain regions: the hippocampus, dopaminergic midbrain, and striatum. The model included as fixed effects whether RMA levels were assessed before or after TEV administration (TEV or vehicle) and the number of weeks (1 or 3) since injection of the designed AAV. Each mouse served as a biological replicate, and mice were modeled as random effects to account for between-subject variability in both the slope and intercept of the modeled effects. Separate models were fitted for each brain region. This approach allowed for robust estimation of fixed effects while capturing individual differences in baseline levels and trajectories across animals. The same model was also used to measure changes in the overall feRMA levels over time and the effects of TEV protease during the in vivo measurement of baseline c-Fos activity.

Supplementary Material

Supplementary information
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Significance.

We introduce a paradigm whereby incorporating an editable handle into a secreted serum marker, one can modify it on demand for improved detection. For example, cleaving a marker with an injection to accelerate its clearance from the blood can “reset” its background signal, allowing one to observe the otherwise muted dynamics of marker production. We prove the utility of this paradigm with a well-controlled system of synthetic serum markers that are produced in the brain but exit into the blood where they can be easily measured. These erasable markers successfully exit the brain and have long half-lives in serum to enhance sensitivity but can then be erased to capture more subtle changes in brain’s gene expression.

ACKNOWLEDGMENTS.

The work described in this study was supported by a Grant from the NIH (DP2EB035905) to J.O.S, and by the NSF GRFP (1842494) fellowship to E.K.R.

Footnotes

Competing interest statement: J.O.S. is a co-founder of Imprint Bio, Inc. J.O.S. holds founder equity in the company. J.O.S. and S.L. are co-inventors on a patent describing the original RMA technology.

This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.2511741122/-/DCSupplemental.

Data, Materials, and Software Availability.

Source microscopy images are deposited on figshare (https://figshare.com/articles/figure/Erasable_Serum_Marker/30631991) (43). All study data are included in the article and/or SI Appendix.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary information
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Data Availability Statement

Source microscopy images are deposited on figshare (https://figshare.com/articles/figure/Erasable_Serum_Marker/30631991) (43). All study data are included in the article and/or SI Appendix.

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