The outbreak of COVID-19 has raised interest in the kinin–kallikrein system, as symptoms were postulated to be in connection. Viral blockade of the angiotensin-converting-enzyme 2 impedes degradation of the active kinin des-Arg(9)-bradykinin, which thus increasingly activates bradykinin receptors known to promote inflammation, cough, and edema – symptoms that are commonly observed in COVID-19. However, lean and reliable investigation of the postulated alterations is currently hindered by non-specific peptide adsorption, lacking sensitivity, and cross-reactivity of applicable assays. Here, an LC-MS/MS method was established to determine the following kinins in respiratory lavage fluids: kallidin, bradykinin, des-Arg(10)-kallidin, des-Arg(9)-bradykinin, bradykinin 1-7, bradykinin 2-9 and bradykinin 1-5. This method was fully validated according to regulatory bioanalytical guidelines of the European Medicine Agency and the US Food and Drug Administration and has a broad calibration curve range (up to a factor of 103), encompassing low quantification limits of 4.4–22.8 pg/mL (depending on the individual kinin). The application of the developed LC-MS/MS method to nasal lavage fluid allowed for the rapid (~2 hours), comprehensive and low-volume (100 µL) determination of kinins for the first time. Hence, this novel assay supports current efforts to investigate the pathophysiology of COVID-19, but can also be extended to other diseases.
Research Article
Sensitive mass spectrometric determination of kinin-kallikrein system peptides in light of COVID-19
https://doi.org/10.21203/rs.3.rs-99606/v1
This work is licensed under a CC BY 4.0 License
Journal Publication
published 03 Feb, 2021
Version 1
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bradykinin
kinin-kallikrein-system
COVID-19
nasal lavage
bronchoalveolar lavage
LC-MS
In March 2020 the World Health Organization declared a pandemic of coronavirus disease 2019 (COVID-19) due to alarming levels of spread and severity. COVID-19 is caused by infection with the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Hospitalized patients commonly present with symptoms of fever, cough, and dyspnea and can develop pulmonary edema in early disease.1 It has been postulated that these symptoms are in connection with an upregulated kinin-kallikrein-system (KKS).2–4 As yet, concentrations of peptides within the KKS have not been reported in COVID-19 patients and their role remains unclear.
Activation of the KKS, i.e. by tissue and plasma kallikrein, leads to the formation of the kinins bradykinin and kallidin (lys-bradykinin), both potent activators of bradykinin-2 receptors on endothelial cells.5 The activation of these receptors promotes vasodilation, inflammation, and capillary leakage leading to edema (fig. 1).5,6 Bradykinin and kallidin are cleaved by carboxypeptidase N and M into des-Arg(9)-bradykinin and des-Arg(10)-kallidin, which are ligands for the bradykinin-1 receptor, as demonstrated in in vitro experiments using human tissues.5,7 The in vivo activation of bradykinin-1 receptors in animals was shown to mediate inflammation, bronchoconstriction, and extravasation, which causes (pulmonary) edema.8,9 The receptor is furthermore upregulated during inflammation, thus providing increased receptor binding sites for des-Arg(9)-bradykinin and des-Arg(10)-kallidin.5,6,10 While des-Arg(10)-kallidin is further cleaved into des-Arg(9)-bradykinin, the latter is mainly degraded by the angiotensin converting enzyme (ACE) 2. ACE 2 has been identified as the binding site of SARS-CoV-2, enabling it to enter cells.4,11 It is thus assumed that cleavage of active des-Arg(9)-bradykinin into the inactive bradykinin 1-7 is considerably reduced during SARS-CoV-2 infection. In this context, viral attenuation of ACE 2 activity contributed to the pathogenesis of lung inflammation that was concomitant with increased bradykinin‑1 receptor expression..12 Therefore, the KKS is suggested to be involved in the pathogenesis of COVID-19 via the viral blockade of ACE 2, leading to elevated active des-Arg(9)-bradykinin levels (fig. 1).4,13 Monitoring of seven kinin peptides (bradykinin, kallidin, des-Arg(9)-bradykinin, des-Arg(10)-kallidin, bradykinin 1-7, bradykinin 1‑5 and bradykinin 2-9) may provide insights into the hypothetically altered kinin metabolism during SARS-CoV-2 infection.
Because ACE 2 is highly expressed in the nasal epithelium, the nose is presumed to represent the main entry point of SARS-CoV-2 prior to further spread within the host.14 Therefore, saline lavage fluids from the respiratory tract would likely be the most suitable matrix to investigate alterations in the KKS peptide levels, as these fluids originate from the main area of viral infection and clinical symptoms. The use of nasal lavage fluid (NLF) further offers the advantage of non-invasive sampling. In the NLF of healthy volunteers, kinin levels were reported to be typically less than 100 pg/mL by immunometric detection, however, no quantitative differentiation of the kinins was possible due to the underlying analytical technique applied.15,16 The susceptibility to cross-reactivity with similar structures—which is the case for kinin peptides (fig. 1)—represents the main disadvantage of immunoassays. Nevertheless, highly sensitive immunoassay-based quantification methods that can distinguish kinin peptides have been developed using plasma or tissues, but they require extensive effort for sample purification, including (multiple) solid-phase extractions (SPEs), liquid–liquid extraction, and chromatographic separation prior to immunoassay.17,18
Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) represents a rational choice to overcome immunoassay-related limitations. Nevertheless, to date, no LC-MS/MS method has been reported that can comprehensively determine kinin peptides in respiratory saline lavage fluids. Validated LC-MS/MS methods are available for the determination of single kinin peptides (bradykinin, des-Arg-(9)-bradykinin and bradykinin 1-5) from plasma, serum, or whole blood and lack sensitivity in the desired low pg/mL range.19–21 Owing to the substantial dilution of epithelial lining fluid by a factor of 60–120 during lavage, a suitable assay must be highly sensitive.22 The reliable analysis of low levels of endogenous peptides in diluted matrix, whereby the peptides are often characterized by non-specific peptide adsorption, requires extensive method development.23,24 For that, design of experiments (DoE) has proven its usefulness as a lean tool for method development of multifactor-dependent settings and contributes to signal increase in LC-MS/MS.25,26
Therefore, this study aimed to develop and validate a novel LC-MS/MS method characterized by a broad calibration curve range to comprehensively and sensitively determine KKS peptides (bradykinin, kallidin, des-Arg(9)-bradykinin, des-Arg(10)-kallidin, bradykinin 1-7, bradykinin 1-5 and bradykinin 2-9) to enable reliable insights into their alterations in COVID-19 – or other disease states (e.g. allergies or lung cancer) – in comparison to controls. Information regarding these alterations will contribute to the understanding of the pathophysiology related to these peptides and may help to identify new therapeutic targets.
2.1 Chemicals and reagents
Kallidin trifluoroacetic acid (TFA) salt (96.9%, HPLC; Tocris, Bristol, UK), bradykinin acetate (99.0%, HPLC; Sigma-Aldrich, St. Louis, MO, USA), and their metabolites des-Arg(9)-bradykinin acetate (98.7%, HPLC; Santa Cruz Biotechnology, Dallas, TX, USA), bradykinin 1‑7 TFA salt (≥ 95.0%, HPLC; GenScript, Piscataway Township, NJ, USA), bradykinin 1-5 TFA salt (≥ 95.0%, HPLC; GenScript), bradykinin 2-9 TFA salt (≥ 95.0%, HPLC; GenScript), and des-Arg(10)-kallidin TFA salt (95.9%, HPLC) were used in this study. [Phe8Ψ(CH-NH)-Arg9]-bradykinin TFA salt (97.5%, HPLC) was applied as the internal standard. Formic acid (FA, ≥ 98%) and TFA (100.3%) were supplied by Sigma Aldrich. HPLC-grade methanol, water, and dimethyl sulfoxide (DMSO, ≥ 99.9%), and MS-grade methanol and ammonium acetate (99.5%) were obtained from Fisher Scientific (Loughborough, UK). Furthermore, HPLC-grade acetonitrile (ACN, Applichem, Darmstadt, Germany), MS-grade water (Honeywell Fluka, Seelze, Germany), and ammonia (30.9%) (VWR Chemicals, Radnor, PA, USA) were utilized. Isotonic saline solution 0.9% was provided by B. Braun (Melsungen, Germany).
Sampling of NLF in healthy volunteers was performed in compliance with the ethical principles of the Declaration of Helsinki and was approved by the ethics committee of the medical faculty at the Heinrich-Heine-University Duesseldorf (study number: 6112). Written informed consent was obtained from all participants before enrolment.
2.2 Preparation of stock and working solutions
Lyophilized kinin peptides were dissolved and diluted separately in 0.3% TFA in 25/75 ACN/water (v/v/v) prior to the preparation of a combined working solution containing 500 ng/mL of each peptide salt. [Phe8Ψ(CH-NH)-Arg9]-bradykinin as an internal standard was dissolved in 0.1% FA in water (v/v) and subsequently diluted to achieve a working solution of 500 ng/mL in 0.3% TFA in 25/75 ACN/water(v/v/v). All peptide solutions were prepared using low protein-binding tubes (Sarstedt, Nümbrecht, Germany).
2.3 Sample preparation
A 0.9% isotonic saline solution was used as blank surrogate matrix for the respiratory saline lavage fluids. Owing to the endogenous presence of kinins and the long half-life of bradykinin 1-5, no reliable kinin-free human blank matrix could be generated. Optimized inhibitors were applied to effectively prevent the generation and degradation of the kinin peptides, based on previously published suitable inhibitor cocktails.27 SPE was performed by applying 96-well Oasis weak cation exchange (WCX) µ-elution plates (Waters, Milford, MA, USA). All cartridges were conditioned with 200 µL of methanol, followed by 200 µL of 5% aqueous ammonium hydroxide (v/v). Subsequently, the wells were prefilled with 150 µL of 3 ng/mL internal standard in 5% aqueous ammonium hydroxide (v/v), and 100 µL of sample was then loaded. Washing was performed with 300 µL of 5% aqueous ammonium hydroxide (v/v) and 300 µL of 10% methanol in water (v/v). Elution was conducted three times with 50 µL of 1% TFA in 75/25 ACN/water (v/v/v). The resulting eluates were evaporated to dryness under a gentle stream of nitrogen at 60 °C while shaking at 300 rpm. The residues were dissolved in 75 µL of 10/10/80 FA/methanol/water (v/v/v).
2.4 LC-MS/MS
Chromatography was performed on an Agilent 1200 SL series system (Agilent Technologies, Ratingen, Germany) consisting of a degasser (G1379B), a binary pump SL (G1379B) and a column oven TCC SL (G1316B). A Phenomenex SynergiTM 2.5 µm Hydro-RP 100 Å column (100x2.0 mm; Torrance, CA, USA) was used for the chromatographic separation. The mobile phases were composed of water and methanol (B) both containing 3.2% DMSO and 0.1% FA (v/v). A 7.5 min binary gradient was applied, maintaining the amount of mobile phase B at 5% for 1.5 min, increasing it to 20% until 2.2 min, to 27% until 2.7 min, to 35% until 3.1 min, and finally to 95% after 6.2 min. Mobile phase B was kept constant at 95% until 6.7 min before decreasing it to 5% and column re-equilibration for 3 min. The flow rate was set to 400 µL/min, and the injection volume of 50 µL was applied with an HTC PAL autosampler (CTC Analytics AG, Zwingen, Switzerland). After every injection, the autosampler syringe was rinsed twice with 0.2% FA in 80/20 ACN/water (v/v/v). Samples were stored at 18 °C in the autosampler.
The LC system was coupled to an API 4000 (AB Sciex, Darmstadt, Germany) mass spectrometer equipped with a Turbo V source for detection. The electrospray interface wasoperated in positive mode with multiple reaction monitoring mode. The curtain gas was maintained at 31 psi, the collision gas at 8 psi, the nebulizer gas at 45 psi, the heater gas at 65 psi, the ion spray voltage at 5500 V, and the source temperature at 350 °C. Peptide-specific parameters are displayed in table 1.
Data acquisition was conducted using Analyst® 1.6.2 software (AB Sciex, Darmstadt, Germany), and raw data evaluation was performed using MultiquantTM 3.0.2 (AB Sciex, Darmstadt, Germany).
2.5 Method development
2.5.1 Adaption of optimized injection solvent and sample collection material
A previously conducted DoE approach to optimize the injection solvent conjointly with the sample collection material to reduce non-specific adsorption of bradykinin and thus increase sensitivity,26 had to be adapted to avoid peak broadening or breakthrough of the more hydrophilic kinin peptides. By using the D-optimal optimization model, an amount of 5–20% organic fraction in the injection solvent was investigated. This range correlated with the binary gradient, as no breakthrough of the kinins was expected. Furthermore, the calculations included a maximum intensity loss of 15% of the predicted intensity of the optimized injection solvent, based on current bioanalytical guidelines for the accuracy limits.28 Six injection solvent compositions were calculated with distinct organic fractions and analyzed in triplicates by LC-MS/MS measurement, and responses and peak shapes were compared to the original injection solvent for bradykinin only (8.7% FA in 5.3/36.6/49.4 methanol/DMSO/water (v/v/v/v)).
2.5.2 Improvement of SPE recovery
The method development focused on maximizing recovery to reduce peptide loss during washing steps and to enable the detection of endogenous concentrations in the low pg/mL range. A previously developed SPE protocol for bradykinin only26 had to be adapted, since the kinin peptides differ in their amounts of hydrophobic and positively charged amino acids (fig. 1). Mixed-mode strong cation exchange (MCX) and WCX µelution SPE were considered to evaluate which material would fit best to all analytes. All experiments evaluating the washing and elution solvents were conducted using neat solution in duplicate.
2.6 Validation
Bioanalytical method validation was conducted considering the regulatory bioanalytical guidelines of the US Food and Drug administration.28 Linearity, accuracy, precision, sensitivity, recovery, matrix effect, carry-over, and stability were considered during the validation process.
2.6.1 Linearity
Linearity was determined in six runs using nine to eleven distinct calibrator levels (depending on the lower limit of quantification (LLOQ) of the individual peptide), which were analyzed in single determinations. In compliance with bio-analytical guidelines, the actual concentration of 75% of all calibration curve standards had to deviate less than ±15% (±20% at the LLOQ) from their nominal concentration (relative error (RE)).28
2.6.2 Accuracy, precision and sensitivity
Accuracy and precision were assessed using up to seven quality control (QC) levels covering the whole calibration range on three distinct days. The number of QCs depended on the magnitude of the calibration range per peptide. Five replicates per QC level were analyzed each day. Accuracies were determined as the deviation of the actual concentration from the nominal concentration (RE) for within-run and for between-run accuracy. Using one-way ANOVA, within-run precision was calculated as repeatability and between-run precision as day-different intermediate precision (coefficient of variation (CV)). In line with regulatory guidelines, accuracy and precision were not allowed to exceed ±15% (±20% at the LLOQ).28 The signal-to-noise ratio (S/N) had to be higher than 5:1 at the LLOQ. The limit of detection (LoD) was further calculated as follows using the results from six calibration curves (equation (1):29
(1) Calculation of limit of detection. σ: standard deviation of the y-intercept, S: mean slope of the calibration curves
2.6.3 Carry-over
Carry-over was evaluated by alternatingly injecting blank samples and upper limit of quantification (ULOQ) calibration curve standards six times. According to regulatory bioanalytical guidelines, carry-over in the blank sample following the ULOQ was not allowed to exceed 20% of the LLOQ signal and 5% of the internal standard signal.28
2.6.4 Recovery and absolute matrix effect
Recovery was determined at four distinct QC levels covering the calibration curve range (high, middle, low and around the LLOQ) in triplicate. Pre-spiked extracted samples were compared to processed blank samples spiked with the same concentrations after µelution SPE. Matrix effects of the peptides were analyzed at the same four distinct QC levels by comparison of post-spiked samples to neat solutions (n=3).
2.6.5 Stability
Stability studies were conducted at four QC levels (high, middle, low and around the LLOQ) under different storage conditions. Benchtop stability was investigated by placing the prepared QC samples at room temperature for one and three hours (n=5). Freeze-thaw stability (room temperature to -80 °C) was evaluated by analyzing the QC levels after one and three cycles (n=5). Between each cycle, samples were frozen for at least 12 hours. The autosampler stability was assessed by keeping QC samples in the autosampler at 18 °C for 18 hours and then repeating the QC sample measurement. Finally, short-term stability of processed and evaporated samples was analyzed after storage for 24 hours at +4 °C (n=5). Stability at the specific conditions was proven if the mean concentration at each level did not exceed ±15%. To evaluate the stability of the analyte working solution, peak areas of the kinin peptides on 15 distinct days after 15 freeze-thaw cycles, measured routinely during method performance qualification (1 ng/mL, neat solution), were analyzed for their CV (acceptance criterion ≤ 15%).
2.7 Applicability
Nasal lavage with 10 mL of 0.9% isotonic saline (5 mL per nostril) was performed in a healthy female volunteer. The volunteer was asked to tip her head backwards, hold the breath, and refrain from swallowing. The obtained fluid was collected directly into the inhibitor cocktail and was immediately vortexed after completing the sampling. The samples were centrifuged at 4 °C for 15 min at 500 ×g to remove cells, mucus, and debris. A 100 µL aliquot of the supernatant was analyzed.
3.1 Method development
3.1.1 Improvement of sensitivity.
Analyzing the contour plots of the D-optimal optimization model for the original injection solvent composition and the contour plots with restricted organic amount, showed clearly that high acidic amounts were necessary for the injection solvent, as well as the highest organic amount that would be compatible with peak shapes of the hydrophilic peptides (fig. 2). Of the six investigated injection solvent compositions, 10/10/80 FA/methanol/water (v/v/v) gave best peak shapes for bradykinin 1-5, by maintaining good signal intensity for bradykinin with 98.8 ± 2.3 % of the optimized injection solvent composition (predicted: 91.4% with a log(D) of ‑0.49 and probability of failure of 0.12%).
3.1.2 Improvement of recovery
Using MCX SPE, the more hydrophobic or charged peptides (bradykinin, des-Arg(10)-kallidin, kallidin, and the internal standard) could not be satisfactorily eluted, when applying two 100 µL elutions of 5% of ammonium hydroxide in ACN, as indicated by low recoveries of 0–3%. Increasing the elution volume or adding ammonium acetate to the elution solvent to produce a salting-out effect did not substantially improve recoveries. Therefore, a customized protocol using WCX with modified washing steps was developed. In particular, the more hydrophilic kinins and those containing fewer amino functional groups (bradykinin 1-5 and bradykinin 1-7) were not robust regarding the recovery, as they were washed out when using an organic amount exceeding 10% methanol, subsequently affecting sensitivity and precision (fig. 3). An increased amount of washing solvent (300 µL of 10% methanol) did not affect peptide recoveries but resulted in more precise values and was subsequently applied as described in the sample preparation section.
3.2 Method validation
The results for linearity measurements gave best fits using quadratic regression except for bradykinin 1-5, where linear regression was applied (mean r ≥ 0.9960 for all analytes). The broad dynamic calibration curve ranges were (depending on the analyte) between 4.4–22.8 pg/mL for the LLOQ and between 4,505.9–8,255.5 pg/mL for the ULOQ. More detailed results for the linearity and the respective calibration curve ranges are presented in table 2 and an example in supplementary figure S1.
The within-run and between-run precision as well as accuracy results for all investigated QC levels are presented in table 3. Guideline-compliant results were obtained for all kinin peptides.28 In line with the maximally allowed deviation of 20% for accuracy and precision at the LLOQ, the LLOQ was set to 4.4 pg/mL for kallidin (S/N: 94), to 6.7 pg/mL for bradykinin (S/N: 96), to 10.6 pg/mL for des-Arg(10)-kallidin (S/N: 199), to 7.3 pg/mL for (des-Arg(9)-bradykinin (S/N: 403), to 6.5 pg/mL for bradykinin 1-7 (S/N: 155), to 8.1 pg/mL for bradykinin 2-9 (S/N: 65) and to 22.8 pg/mL for bradykinin 1-5 (S/N: 39). Representative chromatograms for the blank, the respective LLOQ, and the high QC are displayed in figure 4. The LoD was calculated as 3.5 pg/mL for kallidin, 2.5 pg/mL for bradykinin, 2.5 pg/mL for des-Arg(10)-kallidin, 3.0 pg/mL for des-Arg(9)-bradykinin, 4.4 pg/mL for bradykinin 1-7, 5.6 pg/mL for bradykinin 2-9 and 13.6 pg/mL for bradykinin 1‑5.
The carry-over following the injection of an ULOQ sample was below 20% of the signal of the LLOQ for all analytes (kallidin: 19.0%, bradykinin: 17.0%, des-Arg(10)-kallidin: 16.8%, des-Arg(9)-kallidin: 19.1%, bradykinin 1-7: 11.9%, bradykinin 2-9: 18.9%, bradykinin 1-5: 4.4%). No carry-over was observed for the internal standard.
At the distinct QC levels, recoveries did not vary substantially, as indicated by the low CVs of ≤ 5% between the different levels. The more hydrophilic analytes bradykinin 1-5 (mean 34.1%) and bradykinin 1-7 (mean 45.8%) presented lower recoveries compared to the peptides with more lipophilic or additional amine functional groups (mean 74.1% to 88.4%) (fig. 5). Mean ion suppression of the four levels ranged from -16.8% (bradykinin 1-5) to -4.3% (des-Arg(10)-kallidin) (fig. 5).
All kinin peptides were stable during autosampler storage for 18 hours at 18 °C and throughout the short-term stability test for 24 hours at 4 °C (supplementary table S2). With the exception of bradykinin 1-5, all other peptides were further stable for three freeze-thaw cycles and on the benchtop for 3 hours. Bradykinin 1‑5 was only stable for one hour on the benchtop, whereas after 3 hours a mean decrease of -31.0% was observed. Additionally, bradykinin 1-5 showed a tendency to degrade during freeze-thaw cycles, with increased degradation after three cycles compared to one (mean decrease: -24.3% (1 hour) vs. ‑31.3% (3 hours)). However, bradykinin 1‑5, as well as the other kinin peptides, were stable for 15 freeze-thaw cycles measured over the course of one month (CV: 13.8%) in the analyte working solution. Since enzyme-free matrix was applied, the degradation was not related to insufficient inhibition of enzyme activity. Therefore, degradation might be caused by ionic interactions known to potentially affect instability. Thus, patient samples should be exposed to as few as feasible freeze-thaw cycles and be prepared freshly whenever possible.
3.3 Applicability
Endogenous levels of the kinin peptides in a healthy female volunteer were comprehensively determined in NLF and confirmed the method applicability. Levels for all kinin peptides were in the low pg/mL range; namely, 20.4 pg/mL for kallidin, 50.8 pg/mL for bradykinin, 51.8 pg/mL for des-Arg(9)-kallidin, 44.7 pg/mL for bradykinin 1-7 and 165.9 pg/mL for bradykinin 1-5 were measured. Des-Arg(10)-kallidin was below the LLOQ (> LoD: 2.5 pg/mL), whereas bradykinin 2-9 was below the LoD (< 5.6 pg/mL). A representative chromatogram is presented in figure 4.
The presented novel LC-MS/MS assay enabled the comprehensive and accurate determination of bradykinin, kallidin, des-Arg(9)-bradykinin, des-Arg(10)-kallidin, bradykinin 2-9, bradykinin 1-7, and bradykinin 1-5 in saline lavage fluids. Characterized by a high sensitivity (4.4–22.8 pg/mL) despite the use of low volumes, the applicability of this method was successfully proven by determining low-abundance kinin peptides in NLF. Full validation according to regulatory bioanalytical guidelines was achieved.28
To the best of our knowledge, this study is the first report of the comprehensive determination of kinin peptides in respiratory saline lavage fluid. Previous determinations of kinins in NLF by immunometric approaches did not quantitatively differentiate between the kinins and were limited to bradykinin and kallidin.15,16 Immunoassays are prone to cross-reactivity with structurally similar peptides, which impacts the accuracy and reliability of the results. Further, these methods do not allow the simultaneous investigation and differentiation of kinin peptides from one sample aliquot. Thus, disease-related alterations in the KKS cascade by inhibition or inducement of enzyme activities that affect the generation or degradation of kinin peptides cannot be comprehensively assessed. Furthermore, data obtained from available LC-MS/MS methods is limited and provides a narrow scope of information. The restricted determination of not more than two kinin peptides simultaneously and the generally inadequate sensitivity to detect endogenous peptides in the low pg/mL range by LC-MS/MS has not yet allowed for a comprehensive assessment of the KKS.
Therefore, in advance of this method validation, extensive and systematic investigation was conducted to improve the sensitivity by optimizing the mobile phase and reducing nonspecific peptide adsorption of bradykinin.26 By means of the DoE approach, substantial signal intensity increases for bradykinin—by a factor of 7.7 for the mobile phase optimization and by a factor of 26.6 for the injection solvent optimization—were achieved.26 Following this approach, the intensity of the other peptides could now be improved through DoE and formed the basis to facilitate the low detection limits of 6.7 pg/mL for bradykinin and the range of 4.4 to 22.8 pg/mL for the other six kinin peptides using saline matrix. As suitable assays in saline solution are lacking, the performance of the developed assay can only be discussed in relation to other human matrices. For bradykinin 1-5, Seip et al. 2015 obtained a similar LLOQ of 20.3 pg/mL (vs. 22.8 pg/mL in the here presented study), but applied larger sample volumes (1 mL blood).30 The measurement of des-Arg(9)-bradykinin by LC-MS/MS was marked by a quantification limit of 2 ng/mL.21 The LC-MS/MS assay of Lindström et al. 2019, established a LLOQ of 106.2 pg/mL for bradykinin using 500 µL of plasma19, which was already a factor of 100 below previously published LC-MS/MS methods with detection limits of 10 ng/mL.20,21 However, this sensitivity was not sufficient to determine endogenous levels of bradykinin throughout all their plasma samples.19
In the current study, for the first time in NLF, concentrations of endogenous levels of specific kinin peptides were detectable in saline matrix and allowed for their comprehensive determination. Proud et al. 1983, measured kinin peptides in eight controls by immunometric detection, seven had levels below the LLOQ (< 20 pg/mL) and one had a level of 100 pg/mL. As mentioned above, a quantitative breakdown of the total kinin concentration compared to the respective peptides could not be made.15 Turner et al. 2000, determined kinin levels of 68 (43–183) pg/mL (combined bradykinin and kallidin without distinction) (median (80% central range), n=8).16 This is in line with the measured levels in NLF, where distinguished levels of 50.8 pg/mL for bradykinin and 20.4 pg/mL for kallidin were obtained. Levels for bradykinin 1‑7, des-Arg(9)-bradykinin, and bradykinin 1-5 were also in the low pg/mL range, as expected. The highest levels were obtained for the metabolite bradykinin 1-5 (165.9 pg/mL), which represents the stable end product of the kinin degradation cascade and has the longest half-life.31 Bradykinin 2-9 and des-Arg(10)-kallidin were below the quantification limit. Because levels of the cleaved peptides are not published elsewhere, a reliable classification of the concentrations is only possible to a limited extent, and it is rather necessary to ascertain these endogenous levels in healthy and diseased cohorts in future studies. Levels in patients are expected to exceed those in healthy volunteers if the hypothesis of an upregulated KKS in COVID-19 can be confirmed. Therefore, the broad calibration curve range of the developed assay, covering a span of a factor of 250–1000 depending on the analyte, is expected to be suitable because it allows measuring endogenous levels in healthy controls, as well as detecting possible elevations. Further, application of the assay can easily be extended to other diseases in which alterations within the KKS are to be expected and provides the advantage of non-invasive and easy-to-handle sampling. Thus, it allows to investigate e.g. lung cancer, respiratory allergic reactions, and bradykinin-mediated side effects of ACE inhibitors.32–34
The developed LC-MS/MS assay further outmatched previously published immunoassay methods separating kinin peptides (bradykinin 1-7, des-Arg(9)-bradykinin, and bradykinin) in the low-abundant endogenous range regarding sample preparation effort, as it makes the final results available within 2 hours of sampling. Campbell et al. 1993 applied a combination of C18 SPE followed by liquid-liquid extraction and chromatographic separation prior to immunoradiometric detection.17 Duncan et al. 2000 purified their samples through five rounds of SPE followed by chromatographic separation before the fractions were analyzed by immunoassay.18 Lower limits of quantification (0.3–0.4 pg/mL) were reached using these approaches; however, also 1 mL of blood was applied, which subsequently shows a sensitivity nearly equal to the presented LC-MS assay (100 µL sample volume). Advantages of the LC-MS assay are that falsification due to cross-reactivity can be excluded, and the obtained values are attributed to single peptides. Further, the significantly reduced sample preparation effort achieved in combination with a fast analysis time (~2 hours vs. ~1 day), provides the opportunity to reduce the time working with potentially infectious patient samples.
Saline was chosen as the surrogate matrix because of the endogenous presence of kinin peptides. This was presumed to be an adequate approach, as NLF is mostly made up of saline owing to instillation with saline during lavage, with a reported dilution of factor 60–120.22 Further, mucus, debris, and cells are separated by centrifugation. However, it is important to note, that the volume infused during saline lavage is not always equal to the volume sampled.35 Therefore, when comparing data sets of determined peptide levels, e.g. at different time points or in different patients, normalizing against an endogenous dilution marker, such as albumin, total protein abundance, or urea is recommended.36 Because saline is used as surrogate matrix, the assay is not limited to the investigation of saline lavage fluids in humans, but can also be used in animal models. Thereby, the innovative assay allows to investigate the pathophysiology of COVID-19 but might also support the identification of possible new therapeutic targets if the hypothesis of an altered KKS can be confirmed in COVID-19.
In conclusion, the novel LC-MS assay facilitates the comprehensive determination of kallidin, bradykinin, des-Arg(10)-kallidin, des-Arg(9)-bradykinin, bradykinin 1-7, bradykinin 2‑9 and bradykinin 1-5 for the first time in saline. The method is well-suited for research purposes considering its high sensitivity and broad calibration curve range in combination with low applied volumes. The successfully validated method will contribute to elucidate the pathophysiology of SARS-CoV-2 by facilitating the investigation of the postulated connection between an upregulated KKS and COVID-19, and other (respiratory) clinical syndromes.
DATA AVAILABILITY
The (raw) datasets generated and analysed during the current study are available from the corresponding author on reasonable request.
AUTHOR CONTRIBUTIONS
TG: Conceptualization, Methodology, Validation, Writing - original draft, review & editing, Visualization. Bjoern B. Burckhardt: Conceptualization, Methodology, Writing - review & editing, Supervision
FUNDING
This work was supported by Life Sciences Research Foundation (formerly called D Collen Research Foundation).
ADDITIONAL INFORMATION
There are no conflicts of interest to declare.
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- Maat, S. de, Mast, Q. de, Danser, A. J., van de Veerdonk, F. L. & Maas, C. Impaired breakdown of bradykinin and its metabolites as a possible cause for pulmonary edema in COVID-19 infection. Semin Thromb Hemost; 10.1055/s-0040-1712960 (2020).
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Table 1: Peptide specific transitions and voltage parameters for mass spectrometric detection.
|
Analyte |
Transition [m/z] |
Dwell time [ms] |
Declustering potential [V] |
Entrance potential [V] |
Collision energy [V] |
Collision cell exit potential [V] |
|
Kallidin |
396.9à506.3 |
65 |
95 |
9 |
23 |
14 |
|
Bradykinin |
530.9à522.4 |
65 |
120 |
10 |
31 |
14 |
|
Des-Arg(9)-bradykinin |
452.8à263.2 |
75 |
85 |
10 |
22 |
15 |
|
Des-Arg(10)-kallidin |
516.8à752.5 |
65 |
100 |
10 |
29 |
11 |
|
Bradykinin 2-9 |
452.8à404.3 |
50 |
120 |
9 |
24 |
11 |
|
Bradykinin 1-7 |
379.3à642.4 |
75 |
63 |
10 |
16 |
10 |
|
Bradykinin 1-5 |
287.2à108.3 |
50 |
61 |
8 |
15 |
11 |
|
[Phe8Ψ(CH-NH)-Arg9]-bradykinin |
523.9à274.3 |
75 |
100 |
12 |
48 |
18 |
ms: milliseconds, m/z: mass-to-charge ratio, V: Volt
Table 2: Results for the assessment of linearity (n=6) with corresponding peptide-specific nominal concentrations of the LLOQ and ULOQ
|
Analyte |
|
|
Linearity |
|
|
Dynamic range |
|
|||
|
|
|
Mean r |
Regression |
Weighting |
|
|
LLOQ [pg/mL] |
ULOQ [pg mL] |
||
|
Kallidin |
|
|
0.9998 |
Quadratic |
1/x |
|
|
4.4 |
4505.9 |
|
|
Bradykinin |
|
|
0.9987 |
Quadratic |
1/x2 |
|
|
6.7 |
6861.3 |
|
|
Des-Arg(9)-bradykinin |
|
|
0.9981 |
Quadratic |
1/x2 |
|
|
7.3 |
7419.1 |
|
|
Des-Arg(10)-kallidin |
|
|
0.9987 |
Quadratic |
1/x2 |
|
|
10.6 |
5348.9 |
|
|
Bradykinin 2-9 |
|
|
0.9977 |
Quadratic |
1/x2 |
|
|
8.1 |
8255.5 |
|
|
Bradykinin 1-7 |
|
|
0.9980 |
Quadratic |
1/x2 |
|
|
6.5 |
6669.0 |
|
|
Bradykinin 1-5 |
|
|
0.9960 |
Linear |
1/x2 |
|
|
22.8 |
5757.0 |
|
LLOQ: lower limit of quantification, ULOQ: upper limit of quantification
Table 3: Accuracy and precision results for all analytes. Using one-way ANOVA, within-run precision was calculated as the repeatability and between-run precision as the day-different intermediate precision.
|
Analyte |
Nominal concentration [pg/mL] |
Accuracy |
|
|
Precision |
|||||||||
|
Day 1 RE [%] |
Day 2 RE [%] |
Day 3 RE [%] |
Between-run RE [%] |
|
|
Within-run CV [%] |
Between-run CV [%] |
|
||||||
|
Kallidin |
QC high |
3379.4 |
3.56 |
-0.78 |
2.67 |
1.81 |
|
|
2.85 |
3.40 |
|
|||
|
|
QC mid |
281.6 |
4.88 |
10.00 |
3.96 |
6.28 |
|
|
4.56 |
5.10 |
|
|||
|
|
QC low 4 |
70.4 |
-2.52 |
5.28 |
-7.64 |
-1.63 |
|
|
4.56 |
7.77 |
|
|||
|
|
QC low 3 |
35.2 |
-8.37 |
5.33 |
-5.18 |
-2.74 |
|
|
6.87 |
9.60 |
|
|||
|
|
QC low 2 |
17.8 |
-3.79 |
5.86 |
-3.42 |
-0.45 |
|
|
7.55 |
8.70 |
|
|||
|
|
QC low 1 |
8.9 |
-0.33 |
5.34 |
-9.53 |
-1.51 |
|
|
9.98 |
11.74 |
|
|||
|
|
LLOQ |
4.4 |
8.29 |
16.40 |
-2.99 |
7.23 |
|
|
13.50 |
15.11 |
|
|||
|
Bradykinin |
QC high |
5145.9 |
1.09 |
3.57 |
2.89 |
2.52 |
|
|
4.16 |
4.16 |
|
|||
|
|
QC mid |
428.8 |
4.30 |
5.01 |
4.28 |
4.53 |
|
|
5.05 |
5.05 |
|
|||
|
|
QC low 4 |
107.2 |
2.50 |
3.31 |
-2.75 |
1.02 |
|
|
4.13 |
4.92 |
|
|||
|
|
QC low 3 |
53.6 |
-1.30 |
4.28 |
-6.91 |
-1.31 |
|
|
3.82 |
6.62 |
|
|||
|
|
QC low 2 |
27.2 |
-1.23 |
4.31 |
-10.03 |
-2.32 |
|
|
6.28 |
9.29 |
|
|||
|
|
QC low 1 |
13.6 |
-0.39 |
2.29 |
-8.99 |
-2.36 |
|
|
9.10 |
10.13 |
|
|||
|
|
LLOQ |
6.7 |
11.70 |
2.40 |
-4.48 |
3.21 |
|
|
9.10 |
11.33 |
|
|||
|
Des-Arg(10)-kallidin |
QC high |
4011.7 |
5.29 |
2.22 |
3.88 |
3.79 |
|
|
3.76 |
3.76 |
|
|||
|
|
QC mid |
334.3 |
9.72 |
3.24 |
6.15 |
6.37 |
|
|
3.81 |
4.58 |
|
|||
|
|
QC low 4 |
83.6 |
2.25 |
-1.47 |
-0.37 |
0.14 |
|
|
6.45 |
6.45 |
|
|||
|
|
QC low 3 |
41.8 |
1.25 |
-1.48 |
-4.57 |
-1.60 |
|
|
4.46 |
4.97 |
|
|||
|
|
QC low 2 |
21.2 |
5.61 |
2.30 |
-6.55 |
0.45 |
|
|
7.23 |
9.00 |
|
|||
|
|
LLOQ |
10.6 |
7.09 |
10.40 |
-7.32 |
3.39 |
|
|
10.11 |
12.84 |
|
|||
|
Des-Arg(9)-bradykinin |
QC high |
5564.3 |
-0.79 |
2.54 |
0.27 |
0.67 |
|
|
4.14 |
4.14 |
|
|||
|
|
QC mid |
463.7 |
7.82 |
8.80 |
12.01 |
9.54 |
|
|
5.07 |
5.07 |
|
|||
|
|
QC low 4 |
116.0 |
0.96 |
7.96 |
7.22 |
5.38 |
|
|
3.99 |
5.11 |
|
|||
|
|
QC low 3 |
57.9 |
-0.45 |
3.95 |
1.55 |
1.68 |
|
|
3.02 |
3.46 |
|
|||
|
|
QC low 2 |
29.4 |
0.69 |
3.21 |
-6.48 |
-0.86 |
|
|
8.58 |
9.20 |
|
|||
|
|
QC low 1 |
14.7 |
-0.02 |
0.04 |
-13.40 |
-4.46 |
|
|
9.83 |
11.96 |
|
|||
|
|
LLOQ |
7.3 |
11.29 |
9.25 |
-7.27 |
4.42 |
|
|
7.59 |
11.88 |
|
|||
|
Bradykinin 2-9 |
QC high |
6191.6 |
2.37 |
1.51 |
4.25 |
2.71 |
|
|
4.77 |
4.77 |
|
|||
|
|
QC mid |
516.0 |
7.05 |
5.54 |
10.58 |
7.72 |
|
|
4.80 |
4.92 |
|
|||
|
|
QC low 4 |
129.0 |
6.91 |
5.60 |
0.61 |
4.38 |
|
|
5.46 |
5.83 |
|
|||
|
|
QC low 3 |
64.5 |
7.02 |
3.24 |
-3.07 |
2.40 |
|
|
8.25 |
8.90 |
|
|||
|
|
QC low 2 |
32.7 |
10.37 |
6.87 |
-12.36 |
1.63 |
|
|
9.64 |
14.81 |
|
|||
|
|
QC low 1 |
16.3 |
11.11 |
1.17 |
-3.97 |
2.77 |
|
|
11.28 |
12.55 |
|
|||
|
|
LLOQ |
8.1 |
15.14 |
15.50 |
-8.02 |
7.54 |
|
|
12.97 |
17.08 |
|
|||
|
Bradykinin 1-7 |
QC high |
5001.8 |
3.06 |
14.11 |
0.18 |
5.78 |
|
|
7.31 |
9.54 |
|
|||
|
|
QC mid |
416.8 |
10.80 |
10.66 |
8.45 |
9.97 |
|
|
8.01 |
8.01 |
|
|||
|
|
QC low 4 |
104.2 |
5.22 |
8.32 |
14.89 |
9.48 |
|
|
4.16 |
5.85 |
|
|||
|
|
QC low 3 |
52.1 |
7.78 |
6.04 |
2.81 |
5.54 |
|
|
7.47 |
7.47 |
|
|||
|
|
QC low 2 |
26.4 |
6.46 |
6.98 |
-7.74 |
1.90 |
|
|
8.77 |
11.35 |
|
|||
|
|
QC low 1 |
13.2 |
8.43 |
1.98 |
0.12 |
3.51 |
|
|
6.53 |
7.20 |
|
|||
|
|
LLOQ |
6.5 |
16.57 |
3.21 |
0.27 |
6.68 |
|
|
12.92 |
14.14 |
|
|||
|
Bradykinin 1-5 |
QC high |
4317.8 |
0.22 |
7.46 |
-0.19 |
2.50 |
|
|
9.71 |
9.71 |
|
|||
|
|
QC mid |
359.8 |
10.15 |
14.57 |
-0.95 |
7.92 |
|
|
9.01 |
10.95 |
|
|||
|
|
QC low 4 |
90.0 |
2.10 |
12.37 |
7.64 |
7.37 |
|
|
10.37 |
10.44 |
|
|||
|
|
QC low 3 |
45.0 |
9.55 |
13.09 |
11.80 |
11.48 |
|
|
12.38 |
12.38 |
|
|||
|
|
LLOQ |
22.8 |
6.65 |
12.08 |
13.82 |
10.85 |
|
|
14.92 |
14.92 |
|
|||
CV: coefficient of variation, LLOQ: lower limit of quantification, QC: quality control, RE: relative error