Huu-Hien Huynh1,2, Vincent Delatour1, Maxence Derbez-Morin1,3, Qinde Liu4, Amandine Boeuf1, Joëlle Vinh2. 1. Department of Biomedical and Organic Chemistry, Laboratoire National de Métrologie et d'Essais (LNE), 75724 Paris, France. 2. Biological Mass Spectrometry and Proteomics, SMBP, PDC UMR 8249 CNRS, ESPCI Paris, Université PSL, 75005 Paris, France. 3. CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Université Paris-Saclay, 91191 Gif-sur-Yvette, France. 4. Chemical Metrology Division, Applied Sciences Group, Health Sciences Authority, 117528 Singapore.
Abstract
Procalcitonin (PCT) is a widely used biomarker for rapid sepsis diagnosis and antibiotic stewardship. Variability of results in commercial assays has highlighted the need for standardization of PCT measurements. An antibody-free candidate reference measurement procedure (RMP) based on the isotope dilution mass spectrometry and protein calibration approach was developed and validated to quantify PCT in human serum. The method allows quantification of PCT from 0.25 to 13.74 μg/L (R > 0.998) with extension up to 132 μg/L after dilution of samples with PCT concentration above 13.74 μg/L. Intraday bias was between -3.3 and +5.7%, and interday bias was between -3.0 and -0.7%. Intraday precision was below 5.1%, and interday precision was below 4.0%. The candidate RMP was successfully applied to the absolute quantification of PCT in five frozen human serum pools. A recombinant PCT used as a primary calibrator was characterized by high-resolution mass spectrometry and amino acid analysis to establish traceability of the results to the SI units. This candidate RMP is fit to assign target values to secondary certified reference materials (CRMs) for further use in external quality assessment schemes to monitor the accuracy and comparability of the commercially available immunoassay results and to confirm the need for improving the harmonization of PCT assays. The candidate RMP will also be used to evaluate whether the correlation between the candidate RMP and immunoassays is sufficiently high. Overall, this candidate RMP will support reliable sepsis diagnosis and guide treatment decisions, patient monitoring, and outcomes.
Procalcitonin (PCT) is a widely used biomarker for rapid sepsis diagnosis and antibiotic stewardship. Variability of results in commercial assays has highlighted the need for standardization of PCT measurements. An antibody-free candidate reference measurement procedure (RMP) based on the isotope dilution mass spectrometry and protein calibration approach was developed and validated to quantify PCT in human serum. The method allows quantification of PCT from 0.25 to 13.74 μg/L (R > 0.998) with extension up to 132 μg/L after dilution of samples with PCT concentration above 13.74 μg/L. Intraday bias was between -3.3 and +5.7%, and interday bias was between -3.0 and -0.7%. Intraday precision was below 5.1%, and interday precision was below 4.0%. The candidate RMP was successfully applied to the absolute quantification of PCT in five frozen human serum pools. A recombinant PCT used as a primary calibrator was characterized by high-resolution mass spectrometry and amino acid analysis to establish traceability of the results to the SI units. This candidate RMP is fit to assign target values to secondary certified reference materials (CRMs) for further use in external quality assessment schemes to monitor the accuracy and comparability of the commercially available immunoassay results and to confirm the need for improving the harmonization of PCT assays. The candidate RMP will also be used to evaluate whether the correlation between the candidate RMP and immunoassays is sufficiently high. Overall, this candidate RMP will support reliable sepsis diagnosis and guide treatment decisions, patient monitoring, and outcomes.
Procalcitonin
(PCT) is a recognized
sepsis biomarker allowing patient stratification and antibiotic therapy
management.[1−3] Different clinical decision cut-offs were established
(e.g., 0.5 μg/L for sepsis diagnosis and 0.25 μg/L for
antibiotic initiation or discontinuation for a patient with moderate
or mild illness outside ICU[4]). PCT measurement
has been integrated into clinical guidelines and antimicrobial stewardship
programs.[4−6] Thus, reliable and accurate measurements of this
biomarker are critical for sepsis diagnosis, guiding treatment decisions,
and patient monitoring. Facing a growing demand for PCT testing, the
number of commercialized assays based on different technical principles
has increased considerably in recent years.[7] Different studies underlined discrepancies of results provided by
various commercially available PCT assays.[8−11] These discrepancies may impact
clinical decisions at cut-offs, leading to disease misclassification
and inappropriate antibiotic treatment decision. However, the source
of such variability remains unclear.[12] A
proposed route to improve comparability and accuracy of the results
is developing reference calibration materials, which have been value-assigned
with a higher-order reference measurement procedure (RMP).[13−15] Such a higher-order reference measurement system is still missing
for PCT. Some assays were harmonized through traceability to the Brahms
PCT LIA assay, but this protocol was not adopted for all assays. Moreover,
the traceability of the results to SI units has not yet been established.
Having such a higher-order measurement system will pave the road toward
the standardization/harmonization of PCT assays, which has been considered
a high priority by the International Consortium for Harmonization
of Clinical Laboratory Results.[16] As a
first step, an RMP would help confirm the need to improve PCT assay
harmonization and evaluate if the correlation with the commercially
available PCT immunoassays is suitable for standardization. In addition,
an RMP will support the establishment of traceability of results to
a higher-order reference, as required by ISO 17511:2020 and the European
regulation 2017/746 for in vitro diagnostic devices.[17,18]Thanks to their high selectivity and reproducibility, isotope
dilution
and mass spectrometry have been successfully implemented to develop
RMPs for SI-traceable quantification of clinically relevant proteins.[19−21] Three studies based on isotope dilution associated with liquid chromatography
tandem mass spectrometry (ID-LC-MS/MS) were previously reported for
PCT quantification in serum.[22−24] Each relied on stable isotope
labeled (SIL) peptides spiked in the sample after protein digestion.
However, a SIL protein, spiked at the earliest stage of the sample
preparation to overcome material loss or variability occurring during
sample processing and digestion, is considered an ideal internal standard
with the same behavior as the analyte of interest.[25−28]Here, we described the
development and validation of a candidate
reference ID-LC-MS/MS method for the SI-traceable quantification of
PCT in serum at clinically relevant concentrations using, for the
first time, a recombinant protein as a primary calibrator and a SIL-recombinant
protein as an internal standard (Figure ). In addition, analytical performance in
terms of trueness and precision was assessed, and the uncertainty
of measurement results was evaluated. Finally, the present method
was used to perform SI-traceable quantification of PCT in five pools
of frozen human serum as a proof of concept for developing secondary
certified reference materials (CRM).
Figure 1
Schematic analytical workflow for SI-traceable
quantification of
PCT in human serum and its uncertainty using protein-based matrix-matched
calibration and labeled PCT recombinant protein as internal standard.
Step 1: Preparation of calibrators and quality control (QC) materials
in blank serum using the SI-traceable PCT primary calibrator after
performing impurity-corrected amino acid analysis (AAA). Step 2: Preparation
of patient samples by spiking labeled PCT. Step 3: Antibody-free sample
preparation for calibrators, QC materials, and patient samples followed
by LC-MS/MS analysis of final processed samples. Step 4: Establishment
of a calibration curve using a linear regression model to determine
PCT concentration measured per peptide SAL or FHT. Step 5: Determination
of PCT concentration based on two selected peptides, and its associated
uncertainty was estimated by combining all sources of uncertainty
from steps 1 to 4 (ucal, usam, uprec, ulin).
Schematic analytical workflow for SI-traceable
quantification of
PCT in human serum and its uncertainty using protein-based matrix-matched
calibration and labeled PCT recombinant protein as internal standard.
Step 1: Preparation of calibrators and quality control (QC) materials
in blank serum using the SI-traceable PCT primary calibrator after
performing impurity-corrected amino acid analysis (AAA). Step 2: Preparation
of patient samples by spiking labeled PCT. Step 3: Antibody-free sample
preparation for calibrators, QC materials, and patient samples followed
by LC-MS/MS analysis of final processed samples. Step 4: Establishment
of a calibration curve using a linear regression model to determine
PCT concentration measured per peptide SAL or FHT. Step 5: Determination
of PCT concentration based on two selected peptides, and its associated
uncertainty was estimated by combining all sources of uncertainty
from steps 1 to 4 (ucal, usam, uprec, ulin).
Experimental Section
Chemicals
and Reagents
Amino acid CRMs from NMIJ, chemicals,
and reagents were described in a previous study[24] and are detailed in document 1 of the Supporting Information.The recombinant protein methionine-procalcitonin
3–116 (Met-PCT [3-116]) and the isotopically labeled
protein methionine-procalcitonin 3–116 (SIL protein Met-PCT
[3-116] labeled on arginine (R[13C6,15N4]) and lysine (K[13C4,15N]) residues) at a concentration of ∼1 g/L (Tris/NaCl
buffer solution) were purchased from Promise Advanced Proteomics (Grenoble,
France). The supplier purified Met-PCT [3-116] using three
orthogonal techniques: ion exchange, reverse-phase, and size-exclusion
chromatography.
Instrumentation
Amino acid analyses,
intact mass LC-MS
measurements of the primary calibrator Met-PCT [3-116], and
LC-MS/MS analyses of the digested serum samples were performed on
a Thermo Scientific Dionex Ultimate 3000 ultraperformance liquid chromatography
system coupled to a Thermo Scientific Q Exactive Focus hybrid Quadrupole-Orbitrap
mass spectrometer (Thermo Scientific, Waltham, MA).The top-down
analysis of Met-PCT [3-116] was conducted on a Thermo Scientific
Dionex RSLC Ultimate 3000 nano-LC system coupled to a Thermo Scientific
Orbitrap Eclipse Tribrid mass spectrometer (Thermo Scientific).
Sample Collection
University Hospital Montpellier (Montpellier,
France) provided five pools of deidentified patient serum samples
with different PCT concentrations. Each pool was produced by pooling
12 single frozen leftovers (collected in dry tubes) obtained from
sepsis or septic shock patients. PCT concentration of these serum
pools was determined at the clinical chemistry laboratory of Montpellier
Hospital using the Brahms PCT sensitive Kryptor immunoassay (Compact
Plus). The serum pools were then immediately stored at −80
°C ± 10 °C until analysis.
Characterization and Quantification
of Primary Calibrator Stock
Solution
Confirmation of Met-PCT [3–116] and Impurity Analysis
Met-PCT [3-116] protein and its impurities were characterized
using two complementary approaches: high-resolution MS analyses of
intact protein for impurity identification and top-down MS analyses
using multiple fragmentation modes for protein characterization.
LC-MS
Conditions for Intact Protein Analysis
A Met-PCT
[3-116] solution (∼0.1 g/L in H2O/ACN 95:5,
v/v) was analyzed for potential impurity identification in LC-MS,
operated in electrospray positive mode (Q Exactive Focus). LC was
performed on a C4 analytical column (150 mm × 1 mm, 5 μm,
BioBasic-4, Thermo Scientific). The mobile phase consisted of 0.1%
FA (v/v) in water (solvent A) and 0.1% (v/v) FA in acetonitrile (solvent
B). The separation was achieved using a linear gradient from 25 to
60% of B over 37 min at a 40 μL/min flow rate. The experimental
MS parameters are summarized in Table S1 of the Supporting Information.
LC-MS/MS Conditions for
Top-Down Protein Analysis
The
Met-PCT [3-116] solution at 0.1 g/L was also analyzed on a
nanoelectrospray tribrid Eclipse instrument. LC separation was performed
on a C4 analytical column (75 μm × 150 mm, 5 μm,
Acclaim PepMap 300, Thermo Scientific). The mobile phase consisted
of H2O/ACN 98:2 (v/v), 0.1% FA (solvent A) and H2O/ACN 10:90 (v/v), 0.1% FA (solvent B). The separation was achieved
using a linear gradient from 25 to 60% B in 37 min at a 300 nL/min
flow rate. The sample was analyzed in data-dependent acquisition mode,
using four different fragmentation modes (HCD, EThDC, CID, and UVPD).
The experimental MS parameters are summarized in Table S2 of the Supporting Information.
Amino Acid
Analysis (AAA)
The SI-traceable quantification
of Met-PCT [3-116] standard was performed by amino acid analysis
(AAA) as described previously.[24] Briefly,
the Met-PCT [3-116] content was determined by quantifying phenylalanine,
proline, valine, and leucine by ID-LC-MS using a five-point calibration
curve after gas-phase hydrolysis in acidic conditions. Conditions
of the gas-phase hydrolysis were optimized by carrying out the gas-phase
hydrolysis (ELDEX Workstation) at different conditions: 110, 130,
or 150 °C for 40 h and 130 °C for 24 and 72 h. In each condition,
four processed replicates were performed. The amino acid mix was analyzed
on the Q Exactive Focus instrument in the selected ion monitoring
mode. Isocratic separation was performed using a C18 column (150 mm
× 2.1 mm, 1.7 μm, BEH C18, Waters) in H2O/ACN/FA
98:2:0.1 (v/v/v). The final protein concentration was estimated as
the average of the four amino acid titrations determined from optimal
hydrolysis conditions with 29 processed replicates over six independent
experiments.
Preparation of Calibration and QC Materials
Calibration
and quality control (QC) materials were blank serum samples spiked
with the recombinant Met-PCT [3-116]. Detailed preparation
is available in document 2 of the Supporting Information. Briefly, a set of six calibration samples (concentration of Met-PCT
[3-116] ranging from ∼0.25 to 13.74 μg/L) and
three QC samples (concentration of Met-PCT [3-116] 1.0, 4.0,
and ∼9.0 μg/L) was prepared by spiking Met-PCT [3-116]
at different concentrations and SIL Met-PCT [3-116] at ∼1.7
μg/L in blank serum gravimetrically. The mass ratio between
unlabeled and SIL protein ranged from ∼0.15 to 7.5 for calibration
materials and 0.51–5.08 for QC materials. The calibration and
QC materials were aliquoted (500 μL) and stored at −80
°C ± 10 °C .QC materials used to determine the
lower limit of quantification (LLOQ) were prepared by spiking Met-PCT
[3-116] at two different concentrations (∼0.25 and ∼0.50
μg/L) and SIL Met-PCT [3-116] at ∼1.7 μg/L
in blank serum. The mass ratios between unlabeled and SIL protein
were 0.15 and 0.30.QC materials used to determine the higher
limit of quantification
(HLOQ) were prepared by spiking Met-PCT [3-116] at ∼132
μg/L in blank serum. The sample was then diluted in blank serum
to a concentration of ∼6.5 μg/L followed by the addition
of SIL Met-PCT [3-116] at ∼1.7 μg/L. The mass
ratio between unlabeled and SIL protein was 3.8.
Sample Preparation
Procedure for PCT Quantification in Human
Serum
Patient samples were prepared gravimetrically by mixing
about 480 μL of the sample with 20 μL of SIL Met-PCT [3-116]
at a concentration of ∼40 μg/L to reach a final concentration
of ∼1.5 μg/L. The calibration, QC materials, and patient
samples were processed as described previously.[24] Briefly, 500 μL of serum was subjected to protein
denaturation using SDC detergent and precipitated using acetonitrile.
Next, the supernatant was diluted and purified on a C18 solid-phase
extraction (SPE) cartridge (HLB C18, Waters). Extracted proteins were
reduced (DTT), alkylated (IAA), and digested with 4.6 μg trypsin
gold. Finally, the tryptic digest was purified on an HLB C18 SPE cartridge.
The elution buffer was evaporated to dryness in a centrifugal vacuum
concentrator, reconstituted with 100 μL of 0.1% formic acid,
2% MeOH in water (v/v/v) (noted final extract), and stored at −20
°C ± 5 °C until LC-MS/MS analysis.
LC-MS/MS Conditions
The proteolytic digests were analyzed
in parallel reaction monitoring (PRM) mode[29] on the Q Exactive Focus instrument. Briefly, tryptic peptides were
separated on a C18 analytical column (1 mm × 150 mm, 3 μm,
Acclaim PepMap 100, Thermo Scientific) using 0.05% AA in water (v/v)
as solvent A and 0.05% AA in methanol (v/v) as solvent B at a flow
rate of 80 μL/min. Peptides were eluted with the following gradient
of mobile phase B: 2% for 2 min, linear from 2 to 22% in 8 min, linear
from 22 to 38% in 1 min, linear from 38 to 42% in 14 min, and from
42 to 98% in 1 min.SALESSPADPATLSEDEAR (noted SAL) and FHTFPQTAIGVGAPGK
(noted FHT) proteotypic peptides have been previously selected for
PCT quantification.[24] Two transitions per
peptide were selected, one used as peptide quantifier and another
as peptide qualifier (see Table S3, Supporting
Information). Raw data were processed with Xcalibur software v4.1
(Thermo Scientific). Signal extraction in the LC profile was performed
within a mass tolerance of 10 ppm for PRM data.
Method Validation
After defining the calibration curve,
the analytical performance for PCT quantification in human serum using
a protein-based calibration approach with SIL protein as internal
standard was validated based on matrix-matched material according
to FDA and EMA guidelines[30,31] regarding linearity,
trueness, precision, dilution, autosampler stability of extracted
peptides, and carryover. The trueness and precision were performed
using matrix-matched QC materials in three processed replicates over
three independent experiments using freshly prepared calibrators for
each experiment. Protocol and criteria for method validation are described
in document 3 of the Supporting Information.
Uncertainty Evaluation of PCT Quantification in Human Serum
Uncertainty was evaluated according to the ISO Guide 98-3GUM using
the bottom-up approach.[32] The combined
uncertainty of the experimental values for QC, LLOQ, HLOQ levels,
and patient pools for individual concentration obtained per peptide
(uSAL and uFHT) was calculated by propagating
the uncertainty associated with all relevant sources of measurement
uncertainty, including primary calibrator uncertainty and gravimetric
preparation of calibrators (ucal), gravimetric preparation
of samples (usam), regression model (ulin),
and intermediate precision (uprec).The uncertainty
(umean) of mean concentration was calculated by combining
the uncertainties of two individual concentrations per peptide.The final uncertainty (ufinal)
of mean concentration was calculated by taking into account the uncertainty
between peptides (uinterpeptide) obtained from analysis
of variance (ANOVA).Finally, the
expanded uncertainty (U) was
expressed by multiplying the final uncertainty with a coverage factor k = 2, corresponding to a confidence level of ∼95%.
The relative expanded uncertainty (%) was expressed by the ratio between
the expanded uncertainty and the measurement result.
Results
and Discussion
Developing a candidate reference measurement
to quantify PCT in
human serum requires each analytical process step to be metrologically
traceable to SI units. Figure illustrates the workflow for SI-traceable quantification
of PCT in human serum of the developed method.
Confirmation of Met-PCT [3–116]
A total ion
chromatogram obtained after LC-MS analysis of the primary calibrator
is presented in Figure A. The MS spectrum corresponding to the major chromatographic peak
at 15.8 min is presented in Figure B. A monoisotopic mass of 12 749.12 Da was identified,
which agreed well with the theoretical value of Met-PCT: 12749.11
Da (Δmass −0.39 ppm). The identity of Met-PCT
[3-116] was also confirmed by top-down MS/MS analysis. By combining
four fragmentation modes on the charge state 14 of the major compound
in buffer stock solution (m/z =
912.2293), 60% of Met-PCT [3-116] sequence coverage was obtained
and the identity of the major compound in the buffer stock solution
of the primary calibrator was confirmed (see Figure S1, Supporting Information).
Figure 2
Characterization of the Met-PCT [3–116]
primary calibrator.
(A) Extracted ion chromatogram obtained by injecting 5 μg of
the protein standard. The base peak represents Met-PCT [3–116].
1—Oxidized form; 2—acetylated form; and *—monocharged
compounds. (B) Multicharged mass spectrum corresponding to the base
peak Met-PCT [3–116] at 15.8 min.
Characterization of the Met-PCT [3-116]
primary calibrator.
(A) Extracted ion chromatogram obtained by injecting 5 μg of
the protein standard. The base peak represents Met-PCT [3-116].
1—Oxidized form; 2—acetylated form; and *—monocharged
compounds. (B) Multicharged mass spectrum corresponding to the base
peak Met-PCT [3-116] at 15.8 min.
Impurity Analysis
The analytical challenge of developing
a protein-based primary calibrator is identifying and quantifying
all impurities impacting either AAA or LC-MS/MS quantification of
PCT in a matrix, which can be burdensome. To limit this issue as much
as possible, the primary protein calibrator should be highly purified.
Upon request to the Promise manufacturer, the recombinant PCT protein
was subjected to three orthogonal chromatographic strategies: ion
exchange, reverse-phase, and size-exclusion chromatography. However,
as some impurities are similar (e.g., proteoforms), a 100% pure recombinant
protein is almost unattainable, even with a high cost in terms of
yield. Figure A shows
the presence of additional peaks around the peak of Met-PCT. The most
intense impurities identified by accurate mass measurement were oxidized
PCT, acetylated PCT, and four truncated forms of PCT (see Table S6, Supporting Information). The associated
peak area obtained from extracted chromatogram after deconvolution
of different species was compared. The relative areas of oxidized
PCT and acetylated PCT (in the stock solution) peaks correspond to
5.07 and 2.14% of the Met-PCT peak area.The relative peak areas
of truncated forms of PCT were less than 0.6%. The top-down analysis
confirmed that acetylation occurs on one of the three N-terminal residues
of PCT (Met–Phe–Arg). Thus, this impurity affects neither
the AAA results nor the LC-MS/MS quantification of the targeted peptides
SAL or FHT. Regarding the oxidized form of Met-PCT, it was not yet
possible to unambiguously identify the oxidation site based on top-down
analysis. However, no oxidized form of peptide SAL or FHT (±5
min from retention time of peptide SAL or FHT) was detected based
on LC-MS analysis of samples after trypsin digestion of Met-PCT in
the buffer. Moreover, the most frequent residues subject to oxidation
are methionine and cysteine: they are not among the residues targeted
by AAA (phenylalanine, proline, valine, and leucine), and they are
not found in the two targeted peptide sequences. The truncated forms
observed with a delta mass of about −1300 Da had a retention
time close to the recombinant protein one. The purification steps
performed by the supplier of the recombinant protein, including size-exclusion
chromatography, suggest that these low abundant truncated forms were
artifacts generated during the LC-MS analysis and were not present
in the original sample. The two modified forms with delta mass of
+29 and −17 Da coeluted with the recombinant protein. The absence
of chromatographic separation of these modified forms from the recombinant
protein when using different elution gradients also suggests that
these low abundant forms are artifacts generated during the LC-MS
analysis. Therefore, the raw amino acid analysis results were not
corrected, highlighting the benefits of working with highly purified
materials.
Quantification of Primary Calibrator Stock
Solution by AAA
AAA determined the concentration of the primary
calibrator to establish
the traceability of the results to the SI units. After optimizing
the conditions of gas-phase hydrolysis, the highest concentration
measured by AAA, with the lowest variation between the four amino
acids (leucine, phenylalanine, proline, valine), was obtained at 130
°C for 40 h (see Table S4, Supporting
Information). These experimental conditions allowed hydrolyzing the
valine amide liaison, challenging to cleave without degrading the
amino acids produced. These optimized conditions were then applied
to the quantification of the four amino acids in the primary stock
solution of Met-PCT [3-116] (N = 29). The
mass fraction of Met-PCT [3-116] (average from four amino acid
results) in the stock solution was 807 ± 72 μg/g (k = 2) (see Table S5, Supporting
Information).To ensure the
accuracy of PCT concentration,
the identification of each peptide was verified based on PRM LC-MS/MS
data. The extracted ion chromatograms showed the coelution of two
selected product ions, with the peptide of interest and its internal
standard. The identification of the SAL peptide is presented in Figure .
Figure 3
Identification of the
SAL peptide for PCT quantification in human
serum. (A) MS/MS PRM spectrum of targeted precursor ion SAL2+ (selected product ions y13+ and y10+ for quantification and confirmation in red) in processed
human serum spiked with a PCT at 5 μg/L; (B) extracted ion chromatograms
obtained when measuring blank serum spiked with a PCT at LLOQ level
showing coelution of two selected product ions; (C) extracted ion
chromatograms obtained when measuring blank serum spiked with a PCT
at the LLOQ level and labeled PCT at 1.5 μg/L showing coelution
of the SAL peptide and its internal standard. Precursor ions were
isolated within an isolation window of 1.5 m/z. Raw chromatograms were extracted without smoothing.
Identification of the
SAL peptide for PCT quantification in human
serum. (A) MS/MS PRM spectrum of targeted precursor ion SAL2+ (selected product ions y13+ and y10+ for quantification and confirmation in red) in processed
human serum spiked with a PCT at 5 μg/L; (B) extracted ion chromatograms
obtained when measuring blank serum spiked with a PCT at LLOQ level
showing coelution of two selected product ions; (C) extracted ion
chromatograms obtained when measuring blank serum spiked with a PCT
at the LLOQ level and labeled PCT at 1.5 μg/L showing coelution
of the SAL peptide and its internal standard. Precursor ions were
isolated within an isolation window of 1.5 m/z. Raw chromatograms were extracted without smoothing.Most product ions of the SAL peptide were identified
in PRM data
obtained from processed human serum. While the FHT peptide contains
two residues of proline, which readily generates internal fragmentation
from its N-terminal side, detected ions could not be attributed only
to the primary peptide backbone fragmentation (see Figure S2, Supporting Information). Therefore, the two most
intense product ions were selected, one for quantification and another
for confirmation. For PRM data generated from triplicated analyses,
the peak areas of selected transition were then extracted to establish
a calibration curve based on isotope dilution and quantitative analysis.
Linearity
The regression model is linear over the range
0.25–13.74 μg/L for SAL and 0.47–13.74 μg/L
for FHT (Figure A).
The Pearson regression coefficient was above 0.998 for both peptides.
Detailed data obtained for each peptide from three independent days
are presented in Table S7 and Figure S3 of the Supporting Information.
Figure 4
Method validation
and estimation of uncertainties for PCT quantification
in human serum. (A) Linearity of the signal response obtained with
nonzero protein-based matrix-matched calibrators for the SAL peptide
and FHT peptide. Linearity results obtained from three independent
experiments (linearity equation) were obtained by averaging three
independent experiments. (B) Intraday (n = 3) and
interday (n = 3, 3 days) trueness and precision at
three QC levels. Blue lines represent the acceptation limit ±
15% for the trueness value. Precision was expressed as an error bar.
(C) Estimation of uncertainties of PCT concentration of QC materials.
Expanded uncertainty was expressed by an error bar. Relative expanded
uncertainty was presented by the dashed line (SAL peptide), dotted
line (FHT peptide), and solid line (mean of two peptides). (D) Method
application to quantify PCT concentration in patient pool samples
compared to those obtained by immunoassay (in solid blue line). Expanded
uncertainty was expressed by an error bar. Relative expanded uncertainty
was presented by the black dashed line (SAL peptide), black dotted
line (FHT peptide), and solid black line (mean of two peptides).
Method validation
and estimation of uncertainties for PCT quantification
in human serum. (A) Linearity of the signal response obtained with
nonzero protein-based matrix-matched calibrators for the SAL peptide
and FHT peptide. Linearity results obtained from three independent
experiments (linearity equation) were obtained by averaging three
independent experiments. (B) Intraday (n = 3) and
interday (n = 3, 3 days) trueness and precision at
three QC levels. Blue lines represent the acceptation limit ±
15% for the trueness value. Precision was expressed as an error bar.
(C) Estimation of uncertainties of PCT concentration of QC materials.
Expanded uncertainty was expressed by an error bar. Relative expanded
uncertainty was presented by the dashed line (SAL peptide), dotted
line (FHT peptide), and solid line (mean of two peptides). (D) Method
application to quantify PCT concentration in patient pool samples
compared to those obtained by immunoassay (in solid blue line). Expanded
uncertainty was expressed by an error bar. Relative expanded uncertainty
was presented by the black dashed line (SAL peptide), black dotted
line (FHT peptide), and solid black line (mean of two peptides).
Trueness and Precision
Trueness
and precision of the
method’s validation are presented in Figure B and detailed in Table S8. The intraday (n = 3) bias and interday
(n = 3, 3 days) bias ranged from −2.8 to 1.6
and −1.2 to 0.2% for SAL and −7.3 to 8.0 and −6.2
to 6.3% for FHT. The intraday precision and intermediate precision
(interday) were below 3.3 and 2.3% for SAL and 9.5 and 7.6% for FHT.
For all QC materials, intraday bias was between −3.3 and +5.7%,
and interday bias was between −3.0 and −0.7% for the
mean concentration. Intraday precision was below 5.1%, and interday
precision was below 4.0% for QC materials.
Lower Limit of Quantification
Extracted ion chromatograms
from human serum at the LLOQ level are presented in Figure and Figure S2. The LLOQ level was 0.25 μg/L for SAL and 0.47 μg/L
for FHT. Therefore, PCT concentration was calculated by the average
of two concentrations obtained from two peptides for concentration
above 0.47 μg/L and by SAL only below this limit.The
mean bias and precision CV were 4.2 and 5.5%, respectively, for a
concentration of 0.25 μg/L and −0.7 and 7.5% for a concentration
of 0.51 μg/L.
Higher Limit of Quantification
The
HLOQ quantification
at a concentration above the highest calibrators was quantified after
20× dilution. It showed bias and precision of 1.6 and 2.3% for
SAL and 5.5 and 0.2% for FHT. The method can quantify PCT for a concentration
up to 132 μg/L.
Autosampler stability
Autosampler
stability of 7 days
at +7 °C was demonstrated for all QC levels (bias from the initial
concentration <20%). The two peptide concentrations remained stable
in the autosampler.
Carryover
No carryover was observed
for the two peptides.The present method uses a SIL protein
as an internal standard that
differs from the other LC-MS/MS methods developed to quantify PCT.[22−24] The SIL protein added at the beginning of the sample preparation
process is ideal for protein quantification with the bottom-up approach.[25,27] It compensates for the bias caused by incomplete digestion or material
loss during sample preparation and LC-MS/MS analysis.[24,26] These limitations have been underlined in a previous study in which
PCT was quantified through peptide-based calibration using SIL peptides
as internal standards.[24] A correction factor
has been applied to compensate for digestion incompleteness and material
loss before the digestion step. Moreover, the FHT peptide could not
be used as a quantifier peptide as it may be subject to miscleavage
not corrected by the approach used. In the present study, both endogenous
and SIL-PCT are simultaneously proteolyzed. PCT quantification with
low bias and high precision was archived without using a correction
factor when quantifying both SAL and FHT peptides for concentrations
above 0.47 μg/L, allowing to increase the specificity of the
method. These two selected peptides are located in two different regions
of PCT and are not in the same region of epitopes usually targeted
by commercially available immunoassays.[24]Furthermore, as reported in the literature, PCT is present
under
three different isoforms characterized by the cleavage of one or two
N-terminal amino acids.[7] Our method quantifies
the total serum PCT, including these three isoforms as measured by
most commercially available immunoassays.The calibration range,
HLOQ, and LLOQ of the method encompass the
clinical range of PCT concentrations found in serum from sepsis or
septic shock patients. Therefore, the candidate RMP is intended to
be used to measure PCT in sepsis patients and support activities of
the IFCC working group on the standardization of PCT assays (WG-PCT)
to monitor the accuracy and comparability of immunoassay results and
evaluate if the correlation between available immunoassays at different
clinical cut-off concentrations is sufficient to conduct standardization.
While the analytical sensitivity of the candidate RMP covers almost
all of the ranges of concentrations measured by immunoassays, if the
standardization of the PCT assay is confirmed to be needed and feasible,
further studies are required to improve LLOQ to cover LLOQ of all
commercial immunoassays (0.02–0.2 μg/L). This improvement
could be achieved through instrumental developments (e.g., reducing
LC flow rates and dimensions, using a more sensitive mass spectrometer)
and improving the sample preparation step (e.g., using immunoenrichment).
Miniaturization of sample handling could suffer from low reproducibility
when analyzing low abundant analytes in complex and concentrated samples
such as serum.[33]
Application
to the Measurement of Patient Samples
As
a proof of concept to evaluate how results from the candidate RMP
compare with those from immunoassays, the developed method quantification
was further applied to five pools of patient samples on two independent
experiments. The interassay precision ranged from 1.5 to 7.7% and
from 6.5 to 10.5% for SAL and FHT, respectively (Figure D and Table S11, Supporting Information). The mean concentration was obtained
with a precision below 5.1%. The concentration measured by immunoassay
was higher than the one obtained by ID-LC-MS/MS, with a relative difference
between ID-LC-MS/MS and immunoassay ranging from 18 to 55%.This relative difference observed between LC-MS/MS and the immunoassay
could be explained by differences in calibration and/or differences
in specificity potentially caused by cross-reactivity issues. Although
most PCT immunoassays employ two antibodies targeting different regions
of PCT, it cannot be excluded that immunoassays measure other forms
than the three full-length isoforms of PCT. However, it should be
noted that only five samples were measured, and only one immunoassay
was involved. Therefore, this did not allow making a definitive explanation
and advocates for a larger study. Indeed, the result obtained from
this assay could be different from the other assays because PCT assays
were reported to employ different types of antibodies with different
epitope specificities toward the multiple molecular forms of PCT.[7] The correlation between commercial immunoassays
and the candidate RMP should be established soon for all available
immunoassays and not only Brahms PCT-sensitive Kryptor immunoassays.
Also, a larger number of samples of proven commutability are required
to establish a correlation, which was not demonstrated in the present
study. These studies will be designed by IFCC WG-PCT and will help
to confirm the magnitude and investigate the origin of differences
observed in PCT concentration.
Evaluation of Measurement
Uncertainty
The uncertainty
of the calibrator and the linear regression are presented in Tables S9 and S10 in the Supporting Information
for each calibrator level. The relative expanded uncertainty of each
concentration level of QC materials and pools of patient serum samples
are presented in Figure C,D, respectively, and summarized in Table S12 of the Supporting Information. For all levels, the relative expanded
uncertainty (k = 2) was below 18% and below 30% when
using the SAL peptide and FHT peptide, respectively. The relative
uncertainties were lower for the results obtained using the SAL peptide.
The relative expanded uncertainty (k = 2) ranged
from 7 to 18% for mean concentration, except for LLOQ FHT and Pool3
samples (about 24%). The relative contributions of the different components
to the final uncertainty of individual concentration per peptide are
presented in Figure S4 of the Supporting
Information. The uncertainties associated with the value assignment
of the primary calibrator (ucal), the linearity of the
calibration curve (ulin), and the precision of measurements
(uprec) appeared as the primary sources of measurement
uncertainty. Their relative contributions varied depending on PCT
concentration. The main contribution to the final uncertainty for
low PCT concentrations was the uncertainty associated with the linear
regression or the precision experiment, while for high PCT concentration,
it was the uncertainty associated with the calibrator’s purity.
The uncertainty of the precision experiment was higher for the FHT
than for the SAL peptide.To ensure that laboratory measurements
are clinically usable, it has been recommended that no more than one-third
of the maximum allowable uncertainty of routine assays should be consumed
by higher-order references.[34] In addition
to the correct implementation of calibration traceability, the achievement
of appropriate analytical performance specifications for RMPs and
CRMs is essential but can be challenging for low abundant proteins
like PCT. Relative expanded uncertainties of results obtained with
our method are generally 7–18%, but they reached up to 24%
in some cases (low PCT concentration level). These uncertainties are
probably too high for assigning a target value to a standalone CRM
but are acceptable if this remains an isolated event when the RMP
is used to measure a panel of patient samples (e.g., correlation study
between available immunoassays and candidate RMP). As high uncertainties
might lead to a modest correlation between the candidate RPM and the
immunoassays and might compromise the ability to properly evaluate
the accuracy of immunoassays, reducing measurement uncertainties would
be beneficial. The major source of uncertainty at low PCT concentration
was the uncertainty associated with the linear regression (up to 54%):
this source of uncertainty could be reduced by employing a narrow
working concentration instead of a large concentration range (0.15–7.5
in mass ratio).[35] This may be difficult
to handle when a large number of samples of unknown PCT concentrations
over an expanded range of concentration should be measured (correlation
study between available immunoassays and candidate RMP) but very much
manageable in the case of a value assignment of pairs of CRMs at a
given concentration. It should also be noted that the high uncertainty
observed in one pooled sample with low PCT concentration was caused
by variability between concentrations of the two measured proteotypic
peptides. As this was observed only in one pool of patient samples,
a more extensive study involving a larger number of pooled samples
and single donation samples, as the one planned to assess standardization
feasibility, will help further demonstrate the magnitude and source
of uncertainties at this PCT-level concentration.
Conclusions
We developed and validated an ID-LC-MS/MS method for the SI-traceable
quantification of PCT in human serum covering most clinical cut-off
concentrations. We used a protein-based calibration strategy relying
on a PCT recombinant protein as primary calibrator, and the corresponding
isotope-labeled recombinant protein as an internal standard. Using
recombinant protein as the primary calibrator and internal standard
improved the method’s accuracy compared to a previously developed
method based on peptide calibrators. A correction factor is not required
anymore with the present method, as the protein-based internal standard
accounts for incomplete digestion and material loss during sample
preparation. The present method thus appears suitable to determine
PCT concentration in external quality assessment materials and secondary
CRMs that could be used to monitor the accuracy and comparability
of commercially available immunoassays for PCT at clinically relevant
concentrations. The candidate RMP will support the activities of IFCC
WG-PCT and especially evaluate the feasibility for the standardizing
PCT assays.
Authors: Attila F Torma; Kate Groves; Sabine Biesenbruch; Chris Mussell; Alan Reid; Steve Ellison; Rainer Cramer; Milena Quaglia Journal: Clin Chem Lab Med Date: 2017-08-28 Impact factor: 3.694
Authors: Giuseppe Lippi; Gian Luca Salvagno; Matteo Gelati; Mairi Pucci; Claudia Lo Cascio; Davide Demonte; Diego Faggian; Mario Plebani Journal: Clin Chem Lab Med Date: 2019-12-18 Impact factor: 3.694
Authors: Bryan Krastins; Amol Prakash; David A Sarracino; Dobrin Nedelkov; Eric E Niederkofler; Urban A Kiernan; Randall Nelson; Maryann S Vogelsang; Gouri Vadali; Alejandra Garces; Jennifer N Sutton; Scott Peterman; Gregory Byram; Bruno Darbouret; Joëlle R Pérusse; Nabil G Seidah; Benoit Coulombe; Johan Gobom; Erik Portelius; Josef Pannee; Kaj Blennow; Vathany Kulasingam; Lewis Couchman; Caje Moniz; Mary F Lopez Journal: Clin Biochem Date: 2013-01-08 Impact factor: 3.281