Validation of a multiplexed immunoassay for immunological analysis of pre erythrocytic malaria vaccines

Introduction

Globally, malaria is one of the leading causes of mortality and morbidity. In 2022, an estimated 608,000 deaths were attributed to malaria, with the majority occurring in sub-Saharan Africa1. The burden of morbidity and mortality is primarily borne by pregnant women and young children, who account for approximately two-thirds of all malaria deaths.

R21 with adjuvant Matrix M™ (R21/MM) and RTS,S with adjuvant AS01 (RTS,S/AS01), are the only malaria vaccines recommended for use by the WHO2,3. Both vaccines target the pre-erythrocytic stage of Plasmodium falciparum (Pf) infection. At this stage of the Pf lifecycle, the parasite travels from the site of mosquito bite to the liver and utilises a surface protein—the circumsporozoite protein (CSP)—which covers the surface of the sporozoite, for hepatocyte invasion. The R21 vaccine construct comprises recombinant nanoparticles decorated with Pf CSP central repeat (Asparagine-Alanine-Asparagine-Proline (NANP)), and the C-terminal (C-term), fused to the Hepatitis B surface antigen (HBsAg). Both R21/MM and RTS,S/AS01 malaria vaccines use HBsAg as the core structural protein onto which CSP is attached. However, a key difference is that RTS,S has an excess of HBsAg compared with R21. Levels of IgG antibody specific to six NANP repeats (NANP6) is the primary immunological readout for R21/MM clinical trials. An association between increased anti-CSP IgG antibody titre and vaccine-induced protection against P. falciparum infection has been reported for both RTS,S/AS014 and R21/MM5. A Phase 2b clinical trial of R21 in 450 Burkinabe children aged 5–17 months reported 12-month vaccine efficacy of 77% (95% CI 67–84) using a 0, 1, 2 month vaccine schedule5 and 78% (95% CI 71 to 83) after 2 years of follow up6. NANP6-specific IgG antibodies (measured by a singleplex ELISA) were significantly higher in children who did not have any clinical malaria episodes during both the first and second years of follow-up6. NANP6 is only one antigen contained within the R21 vaccine construct, and antibody responses to this antigen alone were measured in the Phase 2b clinical trial of R21/MM5. However, other antigens may play a role in the immune response, for example IgG avidity to the C-term has been implicated in protective efficacy of RTS,S7. Given this, and the need to use small volumes of paediatric samples sparingly, development of a multiplex assay where simultaneous measurement of antibody responses to multiple antigens was undertaken. With input from the commercial sponsor of R21/MM vaccine development, Meso Scale Discovery (MSD) was chosen to develop a bespoke four-plex assay where full length R21, C-term, HBsAg and NANP6 were included. This report details the validation of this assay prior to its use in a subsequent Phase 3 clinical trial of R21/MM conducted in five sites across four Sub-Saharan African countries (Burkina Faso, Mali, Tanzania and Kenya) in children aged 5–36 months. Twelve-month vaccine efficacy data from this study showed efficacy of 75% (95% CI 71-79 p < 0.0001) against multiple clinical malaria episodes at sites where vaccine administration was just before the malaria season, and efficacy of 68% (95% CI 61-74 p < 0.0001) at sites with year-round transmission3. The Phase 3 study reported fewer cases of malaria in the highest NANP6 IgG responders when NANP6 IgG levels were split into tertiles (tertile 1 = reference, tertile 3 = 0.52 Incidence Rate Ratio, IRR (95% CI 0.36–0.75), p = 0.001). Additionally, higher NANP6 IgG antibody titres and higher efficacy were reported in the younger (5–17 months) age group compared with older children (18–36-months). Time to first malaria episode efficacy was 78% (95% CI 73–82) in younger children and 70% (95% CI 64–74) in older children (p = 0024).

The development of robust and reliable immuno-assays is crucial for the evaluation of any vaccine. Assays must be sensitive, specific, and reproducible to ensure accurate assessment of the immune response elicited by the vaccine. Extensive work has been conducted to validate a CSP assay for RTS,S measuring IgG responses to the R32LR protein which comprises two NVDP oligopeptides and thirty NANP repeats linked to the dipeptide Leu-Arg (NVDP[NANP]152LR)8. However, there is still an ongoing requirement for the harmonisation and standardisation of immunogenicity assays. In their 2023 paper, Mugo et al. found a high degree of correlation between the singleplex NANP6 ELISA used in Oxford to measure antibody responses to R21/MM, the R32LR CSP ELISA used by GSK (alternatively named the “Ghent assay”) to measure responses to RTSS, and another singleplex (NANP)9 ELISA used in Kenya (between rho 0.91 and 0.97, all p < 0.0001)9.

Here, we describe the validation of a high-throughput multiplex MSD assay measuring NANP6, C-term, full-length R21, and HBsAg. This bespoke assay utilises 4-spot, 96-well plates coated with the 4 antigens detailed above, and an electrochemiluminescent (ECL) detection system to detect antigen-specific IgG in plasma or serum samples. Using SULFO-TAG™ conjugated anti-IgG detection antibodies, the system detects light emitted upon electrochemical stimulation when specific antibodies bind to antigen coated on the plate surface. In addition, we compare NANP6-specific IgG antibodies as measured by the multiplexed MSD assay, to the singleplex NANP6 ELISA used previously in Oxford R21/MM clinical trials. We demonstrate the robust performance of the multiplexed MSD assay and show good correlation between NANP6 IgG antibodies as measured by the singleplex and multiplexed assays.

Results

Initial method development

Meso Scale Discovery (MSD), Rockville, MD, USA conducted initial method development using 120 plasma and serum samples from 3 R21/MM clinical trials, comprising adults and children from Burkina Faso, and adults in the UK (Table 1). In summary, NANP6 and C-term peptides were BSA conjugated (for conjugation to BSA, peptides were modified with a terminal Cysteine) and demonstrated increased signal response with increased peptide concentration (see supplementary materials, Supplementary Note 2). Assessment of sample dilutions showed an optimal dilution ratio of 1:1000 for pre-vaccination timepoints (D0/D35) and 1:100,000 for post-vaccination timepoints. Standard curve material was comprised of a pool of highly responding RTS,S vaccinated UK CHMI participants at the timepoint of peak antibody response (4 weeks after 3rd dose of RTS,S). Initial dilution of standard curve material was 1:10,000 with 6 subsequent 4-fold dilutions. The eighth standard was diluent only. Three Quality Control (QC) samples were determined as: High (QC1: 1:40,000 dilution), Medium (QC2: 1:640,000 dilution) and Low (QC3: 1:10,240,000 dilution) and were made from the same material as the standard curve. Standard curve samples were run in duplicate and QC samples were run in quadruplicate. Sample matrix was investigated, with both plasma and serum requiring the same sample dilutions, and measurements being equally reproducible. Full details are available in supplementary materials (Supplementary Note 2). This method development demonstrated good coating uniformity across all antigens, high specificity with <1% non-specific binding, and good reproducibility of standards, controls, and clinical samples. Following this method development, further in-house validation was performed as detailed below.

Table 1 Summary of samples used in this validation
Full size table

In-house validation (Jenner Institute, Oxford)

To study inter-laboratory variability, standards (run in duplicate) and QC samples (run in quadruplicate) and n = 15 clinical trials samples (run in quadruplicate) were compared between one experiment carried out at MSD laboratories, Rockville, MD, USA and one experiment (plate 1) carried out at the Jenner Institute laboratories, Oxford, UK (Fig. 1). We found a mean coefficient of variation (CV) of 2.5% for all antigens for all 7 points of the standard curve, plus the blank (standard 8). Standard 7 (with a dilution of 1:40,960,000) was associated with the highest level of variation between laboratories (between 5.4% for HBsAg and 15.1% for C-term; Table 2a). For the QC samples, we found increasing variation with increased dilution for all antigens; a mean (across all antigens) of 14.1% CV for QC1, a mean of 17.3% CV for QC2 and a mean of 21.7% CV for QC3 (Table 2a). Clinical trial sample measurements were positively correlated between the two laboratories. This was statistically significant for all antigens (Fig. 1).

Fig. 1: Correlations between clinical trials samples run on the MSD assay in Oxford, UK and MSD, USA.
figure 1

a Correlation between IgG response to full length R21 vaccine construct as measured by MSD in USA (x axis) and Oxford (y axis) using 15 samples from individuals before and following R21/MM vaccination. b Correlation between IgG response to hepatitis B surface antigen (HBsAg) as measured by MSD in USA (x-axis) and Oxford (y-axis) using 15 samples from individuals before and following R21/MM vaccination. c Correlation between IgG response to six repeats of the four amino acid sequence (NANP) as measured by MSD in USA (x-axis) and Oxford (y-axis) using 15 samples from individuals before and following R21/MM vaccination. d Correlation between IgG response to the C-terminus of CSP as measured by MSD in USA (x axis) and Oxford (y axis) using 15 samples from individuals before and following R21/MM vaccination. All figures show Spearman’s rank correlation coefficient.

Full size image
Table 2 a. Inter-laboratory comparison between Oxford, UK and MSD, USA of standard curve (STD1-8) and QC sample (High, Mid, Low) measurements, for each antigen. b. Inter-laboratory comparison between Oxford, UK and MSD, USA of unknown clinical samples (S1-15) of either plasma or serum, for each antigen
Full size table

To study intra-run variability, standards, QC samples and clinical trials samples were compared between two plates (named plate 1 and plate 2 in Table 3a and b) run by the same operator on the same day in Oxford, UK. We found a mean CV of 7.8% for all antigens for all 8 points of the standard curve. Standard 7 was associated with the highest level of variability between plates (a mean of 38.5% CV; the lowest being 11.4% for HBsAg and the highest 53.6% for C-term) Table 3a. For the QC samples, we found increasing variability with increased dilution for all antigens; a mean of 0.9% CV for QC1, a mean of 3% CV for the QC2 and a mean of 6% CV for the QC3 (Table 3a). For clinical trials samples we see a mean variability of 2.5% CV for all samples over all antigens between two plates run on the same day by the same operator (Table 3b).

Table 3 a. Comparison of measurements of standard curve (STD1-8) and QC samples (High, Med, Low) conducted by the same operator on the same day (Intra-run), for each antigen. b. Comparison of measurements of unknown clinical samples (S1-15) of plasma and serum conducted by the same operator on the same day (Intra-run), for each antigen
Full size table

To study inter-run variability, the mean of standards, QC samples and clinical trials samples for two plates run by the same operator on the same day over three days in Oxford, UK were compared (mean of plates 1 and 2 compared to the mean of plates 3 and 4 compared to the mean of plates 5 and 6; Fig. 2). We found a mean CV of 2.6% across all antigens and all 7 points of the standard curve. Standard 7 was associated with the highest level of variability between plates (a mean of 5.3% CV; the lowest being 2.7% for R21 and the highest 7.6% for HBsAg) Table 4a. As before, for the QC samples, we found increasing variability with increased dilution for all antigens; a mean of 2.6% CV for QC1, a mean of 3.9% CV for the QC2 and a mean of 5.5% CV for the QC3 (Table 4a).

Fig. 2: Concentrations for intra-run, Inter-run, and Inter-operator for each antigen included in the multiplex MSD assay. Data for 7 MSD plates used to calculate variability.
figure 2

a, c, e, and g – Control (QC) samples for each of 7 plates with ± 30% thresholds for each sample. b, d, f, and h – Standards 1-7 of the standard curve for each of the 7 plates in AU/ml for full length R21 antigen, IgG in IU/mL for Hepatitis B surface antigen, IgG levels in AU/mL for NANP6 antigen, IgG levels in AU/mL for C-terminus antigen.

Full size image
Table 4 a. Comparison of measurements of standard curve (STD1-8) and QC samples (High, Med, Low) conducted by the same operator on different days (Inter-run), for each antigen. b. Comparison of measurements of unknown clinical samples (S1-15) of plasma and serum conducted by the same operator on different days (Inter-run), for each antigen
Full size table

For clinical trials samples we see a mean variability of 5.3% CV for any sample for any antigen between three plates run on different days (Table 4b).

To study inter-operator variability, standards, QC samples and clinical trials samples were compared between plates run by different operators (first operator plate named plate 6 and second operator plate named plate 7 in Fig. 2a, c, e, g) on the same day in Oxford, UK. We found a mean CV of 1.8% for all antigens for all 7 points of the standard curve. Standard 7 was associated with the highest level of variability between plates (mean of 4.5% CV; the lowest being 3.9% for C-term and the highest 5.0% for R21, Table 5a). As before, for the QC samples, we found increasing variability with increased dilution for all antigens; a mean of 8.2% CV for QC1, a mean of 11.1% CV for the QC2 and a mean of 18.5% CV for the QC3 (Table 5a).

Table 5 a. Comparison of measurements of standard curve (STD1-8) and QC samples (High, Med, Low) conducted by the different operators on the same day (Inter-operator), for each antigen. b. Comparison of measurements of unknown clinical samples (S1-15) of plasma and serum conducted by different operators on the same day (Inter-operator), for each antigen
Full size table

For clinical trials samples we see a mean variability of 13.9% CV for any sample for any antigen between two different operators on the same day. The highest variability was seen in low titre pre-vaccination samples (D0 and D35 (Table 5b)).

Investigating negative thresholds for multiplexed MSD

Fifty-eight pre-vaccination samples from UK volunteers enrolled into Controlled Human Malaria Infection (CHMI) studies (VAC055, 059, 065 and 072) were used to investigate negative thresholds. Enrolment exclusion criteria for these studies included a history of clinical malaria and travel to a malaria endemic region within 6 months of enrolment10.

The thresholds were calculated as the mean AU/ml from 58 pre-vaccination samples from UK adults, plus three standard deviations. For NANP this was 448.14 AU/ml, for C-term was 159.27 AU/ml, and for full length R21 it was 546.37 AU/ml. We did not use these thresholds as cut-offs in the data presented here.

Bridging from standardised NANP6 ELISA to MSD

Bridging between a singleplex in-house NANP6 ELISA to the multiplex MSD assay was conducted using two cohorts; a Burkinabe infant cohort from a Phase 2b study (VAC076), and a Malian infant cohort from a Phase 1 clinical trial (VAC088). We conducted assay bridging to determine assay linearity, with and without pre-vaccination samples, and to interpolate a putative protective value on the multiplex MSD assay derived from the protective antibody titre of 6618EU/ml determined using the in-house singleplex NANP6 ELISA, as reported in Burkinabe infants in the Phase 2b clinical trial (VAC076)5 (Fig. 3a, b).

Fig. 3: Correlations between total IgG to NANP6 as measured by multiplexed MSD and singleplex ELISA.
figure 3

a D0 (pre-vaccination samples, n = 75), D84 (1 month post primary series, n = 82) and B + 30 (1 month post booster dose given at 1 year, n = 70) for VAC076, b D84 (1 month post primary series, n = 82) and B + 30 (1-month post booster dose given at 1 year, n = 70) for VAC076. c SCRN (pre-vaccination samples, n = 23), D60 (1-month post 2 doses of R21/MM, n = 23), and D90 (1 month post primary series of 3 doses of R21/MM, n = 102) for VAC088, d D60 (1-month post 2 doses of R21/MM, n = 23), and D90 (1 month post primary series of 3 doses of R21/MM, n = 102) for VAC088. The value of 6618EU/ml is shown as a vertical line and the corresponding level measured by multiplex MSD is shown as a horizonal line for VAC076 samples only.

Full size image

The in-house NANP6 singleplex ELISA9 uses a negative threshold, whereby any sample from a participant living in a malaria-endemic area, run at 1:500 dilution with an OD reading <0.2 OD is assigned an arbitrary value of 1 ELISA unit (EU).

There is a high degree of correlation between the two assays, with rho values of 0.89 and 0.88 (both p < 0.0005) for both studies used to investigate this when pre-vaccination samples are included (Fig. 3a; VAC076 and Fig. 3c; VAC088). When pre-vaccination samples are excluded, rho values are 0.73 and 0.80 (both p < 0.0005) respectively for VAC076 (Fig. 3b) and VAC088 (Fig. 3d).

To directly compare the singleplex and multiplex assays, we performed an interpolation using the NANP6 IgG titre of 6618 EU/mL found to be associated with a 77% vaccine efficacy in the R21 Phase 2b study5. Among samples from vaccinated individuals (Fig. 3b; VAC076) the interpolated value of NANP6 IgG as measured by the multiplexed MSD assay is 164991.7 AU/mL.

Using a linear regression model in which both studies are forced through the origin, the slopes of each study were compared. A one unit increase in MSD AU/ml resulted in a 0.045 increase in ELISA EU/ml for VAC076 and a 0.027 increase in ELISA EU/ml for VAC088. The two slopes differed from each other (p < 0.001).

In summary, we showed successful bridging of the in-house singleplex NANP6 ELISA to the multiplex MSD assay across two clinical trials, demonstrating a strong linear relationship between the assays. Additionally, we showed a difference in correlation between the two assays in two distinct clinical trials in different geographical locations.

To investigate the dynamic ranges of each assay, we took the ratio of the highest and lowest standards in the calibration curve, using raw ECL or OD signal for MSD and ELISA respectively. We report a dynamic range of 2250 for NANP6 IgG as measured by multiplex MSD (using an average from 12 MSD plates, the highest standard gives a signal of 606275.8 and the lowest standard, 269.5). The dynamic range for NANP6 IgG singleplex ELISA is 37 (using an average from 661 ELISA plates, the highest standard is 3.7 and the lowest standard is 0.1 OD).

Discussion

This validation report covers the key performance characteristics also evaluated in several reported ELISA methods for novel vaccines8,12,13, and demonstrates that this multiplexed MSD assay fulfils the criteria for precision, linearity, specificity, robustness, non-interference and stability as per guidelines produced by the ICH and other regulatory authorities14,15.

This multiplexed assay allows for simultaneous measurement of antibody levels to multiple R21 vaccine antigens. Given the small sample volumes required, and the ability to combine antigens, this assay is particularly suited to clinical trials where limited biological material is available (such as paediatric populations), giving an advantage over many singleplex assays. Using pre-vaccination samples from malaria-naive volunteers, we have investigated negative thresholds for full length R21, C-term, and NANP6 antigens which can be used as potential cut-offs in future clinical trial analyses. Currently no negative threshold is used in analysis of MSD data. In this manuscript we investigate the use of samples from adult malaria naïve vaccine clinical trials volunteers for calculation of a possible negative threshold. The small number (n = 58) of malaria-naïve samples available to calculate a negative threshold highlights a potential limitation. Given that volunteers from malaria-endemic countries may have been previously exposed to malaria, pre-vaccination antibody data from non-UK participants is not investigated as a potential negative threshold here.

Assay bridging between the NANP6 singleplex ELISA (used to measure vaccine-specific antibody levels in the R21 Phase 2b clinical trial in Burkina Faso9), and NANP as measured by the multiplexed MSD assay (that is used for the Phase 3 clinical trial of R21 in Burkina Faso, Tanzania, Mali and Kenya3) showed strong linearity within individual clinical trials. However, we report differences between singleplex and multiplex assay relationship between the clinical trials. The clinical trials used to study the relationship between the single- and multiplex assays were conducted in different populations and ages. One study used to investigate assay bridging was conducted in Burkinabe children aged between 5 and 17 months at first vaccination whereas the other used samples from children aged 5–36 months and from Mali. These different assay correlations may be an artefact of the different clinical trial populations and ages used here, or might be indicative of context-dependent differences in relationships between the two assays described here. While this will not affect clinical trials conducted for R21/MM which report immunogenicity using either singleplex or multiplex NANP6 ELISA data, this finding does highlight that care should be taken when comparing data measured using different assays.

Some limitations of the multiplexed assay include the high sample dilutions required, the high cost, and the data management capacity required to handle the large quantities of data generated by this assay. While the assay has flexibility to add more antigens (up to a maximum of 10 per well), this cannot be done by the end user and would require re-validation, with associated costs, by the assay manufacturer. Although not discussed in this report, quality-checking, handling, cleaning and analysis of data resulting from multiplexed assays is not trivial and requires a step-change for laboratories used to dealing with singleplex assays. This assay shows acceptable inter-laboratory, intra- and inter-run and inter-operator variability in our hands in a small-scale validation scenario. Given the limitations described above, the MSD assay may not be appropriate for large scale analysis in field laboratories

In conclusion, this multiplex MSD assay is useful in large scale clinical trials when thousands of samples are analysed. The MSD platform allows concurrent measurement of four R21 vaccine antigens; full length R21, C-term, NANP6 and HBsAg which forms the core of the R21 nanoparticle. We have shown this assay to be sensitive and robust in our hands when data are analysed over different laboratories, operators, and days. Both serum and plasma can be used, and very small sample volumes are required, however the assay is expensive and must be manufactured by MSD which may limit its use in large field trials outside of licensure scenario. The use of this validated multiplexed assay will support further immunological studies of the R21 vaccine.

Methods

Ethics statement

Informed consent was obtained from all subjects in the original studies. The patients/participants provided their written informed consent to participate in these studies. Boards that approved study protocols include Oxford Vaccine Centre Biobank protocols, OXTREC, and local ethics in Burkina Faso and Mali for non-UK studies. UK study protocols were approved by the UKMHRA.

Antigens

R21/MM vaccine comprises 18 repeats of NANP amino acid sequence. For both historic reasons, and to maintain comparability to previous clinical trials conducted by the Jenner Institute, six repeats of the four amino acid NANP sequence with a terminal cysteine are used in serological assays to measure CSP repeat region-specific antibody levels. This sequence has been previously described by Stoute et al. as demonstrating superior inhibition of Mab2A10 compared to both a monovalent CSP peptide and synthetic mimitope16. Additionally, measurements of NANP specific IgG responses using peptide of six, 12 and 19 NANP repeats have been shown to have no difference when tested on 200 clinical trial samples from 40 Burkinabe infants (VAC076, Supplementary Fig. 27).

Four antigens were selected for the multiplex MSD assay described here; a synthetic peptide corresponding to the Pf CSP C-term antigen produced by ProImmune, Oxford, UK; six repeats of the four amino acid NANP repeat with a cysteine residue added to the C-terminus (NANP6C) produced by ProImmune, Oxford, UK; full length R21 vaccine antigen; and recombinant HBsAg (both produced by Serum Institute of India Pvt. Ltd). Sequences for C-term, NANP6, and R21 can be found in the supplementary materials (Supplementary Note 3). With the exception of HBsAg, all antigen sequences were derived from the 3D7 reference strain of Plasmodium falciparum.

NANP6C and Pf CSP C-term peptides produced by ProImmune were generated from standard Fmoc chemistry via solid phase peptide synthesis. The peptides were synthesised from Fmoc protected amino acids on pre-loaded Wang resin. R21 is a recombinant fusion protein comprised of a portion of the Pf CSP fused with HBsAg and expressed as nanoparticles in recombinant yeast produced in Hansenula polymorpha. HBsAg was produced as described in Valenzula et al.17.

Clinical samples used

120 serum and plasma samples from three R21 vaccine clinical trials (VAC060 (NCT02925403), VAC072 (NCT03970993) and VAC076 (NCT03896724)) were sent to MSD, Rockville, MD, USA for initial assay method development. These 120 samples were taken from both R21/MM vaccinated, and placebo vaccinated individuals. Details of samples can be found in Table 1.

Standard curve and QC material consisted of pooled sera from 33 high NANP6 responder participants (as measured by NANP6 singleplex ELISA) from a UK controlled human challenge study (CHMI; VAC055 NCT01883609, one month after a three-dose schedule of RTS,S).

Inter-laboratory correlations between results from the multiplex MSD assay carried out at MSD, Rockville, MD, USA and Jenner Institute laboratories, Oxford, UK were conducted on 15 samples from VAC060 (NCT02925403) and VAC072 (NCT03970993) (Table S1).

Negative thresholds were calculated using n = 58 pre-vaccination samples from Controlled Human Malaria Infection (CHMI) studies conducted in UK adults; VAC055 (NCT01883609), VAC059 (NCT02252640), VAC065 (NCT02905019), and VAC072 (NCT03970993).

Correlations between NANP6 as measured by the MSD assay and an in-house singleplex NANP6 ELISA were conducted on sample taken at pre-vaccination, one month following three doses of R21/MM and 1 month following booster dose (given at 1 year after primary three dose series) from a clinical trial conducted in Burkinabe children (VAC076; NCT03896724) and Malian children (VAC088; NCT05155579).

Initial method development

According to EMA guidelines, the minimal metrics that need to be tested in order to validate an assay include identifying the characteristics of the analyte; identifying and selecting an appropriate platform; performing experiments to evaluate assay performance characteristics; and documenting the assay development procedure including any control strategy18. To that end, initial assay optimisation was conducted at Meso Scale Discovery LLC, Maryland, USA using 120 clinical trials samples (Table 1). This included antigen conjugation to BSA for peptide antigens NANP6 and C-term, optimisation of antigen coating concentration, blocking conditions, accuracy, precision, analytical sensitivity, specificity, dilution linearity and stability. This assay validation follows ICH guidelines14 and demonstrates precision, linearity, specificity, robustness, non-interference and stability. A tabulated overview of the ICH validation requirements can be found in Table S23.

In addition, the following parameters were investigated and optimised: testing of reference standard material, plate lot variability, sample dilution linearity, determination of dilutions for clinical trial samples, development of a standard curve from reference material, protocol optimisation, and assay reproducibility.

The Second International Standard for anti-hepatitis B surface antigen (anti-HBs) immunoglobulin, human (07/164) was used to assign a value of 243 IU/mL to the standard curve material. The concentration of HBsAg in the human reference standard serum sample was measured by back-fitting signals from the human reference standard serum sample to the HBsAg standard curve. Standard curve values used for concentration assignment were selected based on signals falling within the linear part of the anti-HB standard curve (Supplementary Table 12).

Subsequent method development

Following initial assay optimisation, the MSD assay was tested in Oxford to ensure acceptable levels of variability were seen in our laboratories. Using standard curve (in duplicate) and QC samples and 15 clinical trials samples (in quadruplicate) (Supplementary Note 1; Supplementary Table 1), variability between laboratory sites, between plates, between days, and between operators was investigated.

To test inter-laboratory variability, we compared standards, QC samples and 15 clinical trials samples in one experiment run at MSD, Rockville, MD, USA, to one experiment run (by a different operator) in Oxford, UK.

To measure intra-run variability, we compared data from two plates run by the same operator on the same day in Oxford, UK.

Inter-run variability was investigated by comparing data from three different days, run by the same operator in Oxford, UK.

Inter-operator variability was tested by comparing data from two plates, run by two different operators on the same day in Oxford, UK.

Serum and plasma samples were diluted according to their timepoint and stored diluted in 2 batches to prevent repeated freeze/thaw cycles. Each batch contained sufficient sample to run 5 plates. Sample dilution batch 1 was used for 2 plates on Day 1 (plates 1 and 2), and 2 plates on Day 2 (plates 3 and 4). Sample dilution batch 2 was used for 2 plates on Day 3 (plates 5 and 6). The final plate (plate 7) which was run by a second operator, had separate dilutions made by that operator on the day of testing (Table 6).

Table 6 Summary of Oxford validation plan to test intra-run, inter-run and inter-operator variability
Full size table

Assay bridging

Data from NANP6 as measured by the multiplex MSD assay were compared to data from the Oxford laboratory singleplex NANP6 ELISA. Data from two R21/MM vaccine clinical trials (VAC076; NCT03896724 Burkinabe infants and VAC088; NCT05155579 Malian infants) were compared. Details of the singleplex NANP6 ELISA can be found in Mugo et al.9.

NANP peptide length comparisons

To compare differences in NANP specific IgG measurements between six, 12 and 19 repeat lengths, ELISA was performed following the ‘Oxford-R21’ method described in Mugo et al.9 using NANP peptides of six, 12, and 19 NANP repeats.

Initial method development

Investigating negative threshold

A putative negative threshold was investigated for use in the MSD assay using pre-vaccination (Day 0) samples from UK malaria-naive Controlled Human Malaria Infection (CHMI) participants (n = 58). A threshold of negative response was determined by taking the mean plus three standard deviations of the mean for each of R21, C-term and NANP6. HBsAg positivity is determined by anti-HBsAg levels being >10 mIU/mL as defined by the WHO11.

Statistics

For measures of variation, the percent coefficient of variability (%CV) was calculated. %CV between assays run in different laboratories (inter-laboratory) on the same day (intra-run variability), on different days (inter-run variability), and between different operators (inter-operator variability) were calculated. A CV value of <20% was considered acceptable.

Correlation analyses

Spearman’s rank correlation coefficient was used to correlate data from the same samples measured in two different laboratories (Fig. 1) in addition to samples measured using the singleplex and multiplex assays (Fig. 3a–d).

Comparisons between correlations

To investigate potential differences in assay measurements between singleplex and multiplex measurements of NANP6 across clinical trials, a linear regression model without an intercept was employed, and only included samples taken post R21 vaccination. The model included ELISA titre as the independent variable, MSD titre as the dependent variable, and trial (VAC076 and VAC088), as an interaction term. Using the model output, a linear hypothesis test was performed to test for differences in the relationship between the assay measurements between the two studies.

All statistical analyses including interpolation between assays, were performed using Excel, R v4.2.2, RStudio 2023.06.0, and STATA v14.0 (Austin, Texas).

Related Articles

iDC-targeting PfCSP mRNA vaccine confers superior protection against Plasmodium compared to conventional mRNA

Malaria resurgence in 2022 saw 249 million clinical cases and 608,000 deaths, mostly in children under five. The WHO-approved circumsporozoite protein (CSP)-targeting vaccines, RTS,S and R21, remain limited in availability. Strong humoral responses are crucial for sporozoite neutralization before hepatocyte infection, yet first-generation vaccines provide suboptimal protection, necessitating improved strategies. With the success of mRNA-LNP vaccines against COVID-19, there is interest in leveraging this approach to malaria. Here, we developed a novel chemokine fusion mRNA vaccine targeting immature dendritic cells (iDC) to enhance immunity against P. falciparum CSP (PfCSP). Mice immunized with MIP3α-CSP mRNA-LNP exhibited stronger CD4 + T cell responses and higher anti-NANP6 antibody titers than conventional CSP mRNA-LNP. Importantly, upon P. berghei PfCSP transgenic sporozoite challenge, MIP3α-CSP mRNA provided significantly greater protection from liver infection, strongly associated with multifunctional CD4 + T cells and anti-NANP6 titers. This study underscores iDC targeting as a promising strategy to enhance malaria vaccine efficacy.

The anti-circumsporozoite antibody response to repeated, seasonal booster doses of the malaria vaccine RTS,S/AS01E

The recently deployed RTS,S/AS01E malaria vaccine induces a strong antibody response to the circumsporozoite protein (CSP) on the surface of the Plasmodium falciparum sporozoite which is associated with protection. The anti-CSP antibody titre falls rapidly after primary vaccination, associated with a decline in efficacy, but the antibody titre and the protective response can be partially restored by a booster dose of vaccine, but this response is also transitory. In many malaria- endemic areas of Africa, children are at risk of malaria, including severe malaria, until they are five years of age or older and to sustain protection from malaria for this period by vaccination with RTS,S/AS01E, repeated booster doses of vaccine may be required. However, there is little information about the immune response to repeated booster doses of RTS,S/AS01E. In many malaria-endemic areas of Africa, the burden of malaria is largely restricted to the rainy season and, therefore, a recent trial conducted in Burkina Faso and Mali explored the impact of repeated annual booster doses of RTS,S/AS01E given immediately prior to the malaria transmission season until children reached the age of five years. Anti-CSP antibody titres were measured in sera obtained from a randomly selected subset of children enrolled in this trial collected before and one month after three priming and four annual booster doses of vaccine using the GSK ELISA developed at the University of Ghent and, in a subset of these samples, by a multiplex assay developed at the University of Oxford. Three priming doses of RTS,S/AS01E induced a strong anti-CSP antibody response (GMT 368.9 IU/mL). Subsequent annual, seasonal booster doses induced a strong, but lower, antibody response; the GMT after the fourth booster was 128.5 IU/mL. Children whose antibody response was in the upper and middle terciles post vaccination had a lower incidence of malaria during the following year than children in the lowest tercile. Results obtained with GSK ELISA and the Oxford Multiplex assay were strongly correlated (Pearson’s correlation coefficient, r = 0.94; 95% CI, 0.93–0.95). Although anti-CSP antibody titres declined after repeated booster doses of RTS,S/AS01E a high, although declining, level of efficacy was sustained suggesting that there may have been changes in the characteristics of the anti-CSP antibody following repeated booster doses.

Genome-wide gene expression profiles throughout human malaria parasite liver stage development in humanized mice

Gene expression of Plasmodium falciparum (Pf) liver-stage (LS) parasites has remained poorly characterized, although they are major vaccine and drug targets. Using a human liver-chimaeric mouse model and a fluorescent parasite line (PfNF54CSPGFP), we isolated PfLS and performed transcriptomics on key LS developmental phases. We linked clustered gene expression to ApiAP2, a major family of transcription factors that regulate the parasite life cycle. This provided insights into transcriptional regulation of LS infection and expression of essential LS metabolic and biosynthetic pathways. We observed expression of antigenically variant PfEMP1 proteins and the major Pf protein export machine PTEX and identified protein candidates that might be exported by LS parasites. Comparing Pf and P. vivax LS transcriptomes, we uncovered differences in their expression of sexual commitment factors. This data will aid LS research and vaccine and drug target identification for prevention of malaria infection.

Tissue macrophages: origin, heterogenity, biological functions, diseases and therapeutic targets

Macrophages are immune cells belonging to the mononuclear phagocyte system. They play crucial roles in immune defense, surveillance, and homeostasis. This review systematically discusses the types of hematopoietic progenitors that give rise to macrophages, including primitive hematopoietic progenitors, erythro-myeloid progenitors, and hematopoietic stem cells. These progenitors have distinct genetic backgrounds and developmental processes. Accordingly, macrophages exhibit complex and diverse functions in the body, including phagocytosis and clearance of cellular debris, antigen presentation, and immune response, regulation of inflammation and cytokine production, tissue remodeling and repair, and multi-level regulatory signaling pathways/crosstalk involved in homeostasis and physiology. Besides, tumor-associated macrophages are a key component of the TME, exhibiting both anti-tumor and pro-tumor properties. Furthermore, the functional status of macrophages is closely linked to the development of various diseases, including cancer, autoimmune disorders, cardiovascular disease, neurodegenerative diseases, metabolic conditions, and trauma. Targeting macrophages has emerged as a promising therapeutic strategy in these contexts. Clinical trials of macrophage-based targeted drugs, macrophage-based immunotherapies, and nanoparticle-based therapy were comprehensively summarized. Potential challenges and future directions in targeting macrophages have also been discussed. Overall, our review highlights the significance of this versatile immune cell in human health and disease, which is expected to inform future research and clinical practice.

Energy metabolism in health and diseases

Energy metabolism is indispensable for sustaining physiological functions in living organisms and assumes a pivotal role across physiological and pathological conditions. This review provides an extensive overview of advancements in energy metabolism research, elucidating critical pathways such as glycolysis, oxidative phosphorylation, fatty acid metabolism, and amino acid metabolism, along with their intricate regulatory mechanisms. The homeostatic balance of these processes is crucial; however, in pathological states such as neurodegenerative diseases, autoimmune disorders, and cancer, extensive metabolic reprogramming occurs, resulting in impaired glucose metabolism and mitochondrial dysfunction, which accelerate disease progression. Recent investigations into key regulatory pathways, including mechanistic target of rapamycin, sirtuins, and adenosine monophosphate-activated protein kinase, have considerably deepened our understanding of metabolic dysregulation and opened new avenues for therapeutic innovation. Emerging technologies, such as fluorescent probes, nano-biomaterials, and metabolomic analyses, promise substantial improvements in diagnostic precision. This review critically examines recent advancements and ongoing challenges in metabolism research, emphasizing its potential for precision diagnostics and personalized therapeutic interventions. Future studies should prioritize unraveling the regulatory mechanisms of energy metabolism and the dynamics of intercellular energy interactions. Integrating cutting-edge gene-editing technologies and multi-omics approaches, the development of multi-target pharmaceuticals in synergy with existing therapies such as immunotherapy and dietary interventions could enhance therapeutic efficacy. Personalized metabolic analysis is indispensable for crafting tailored treatment protocols, ultimately providing more accurate medical solutions for patients. This review aims to deepen the understanding and improve the application of energy metabolism to drive innovative diagnostic and therapeutic strategies.

Responses

Your email address will not be published. Required fields are marked *