Abstract
Background:
Platelets interact with leukocytes to fine-tune their functions, thus providing essential regulation of (patho-) physiologic immune responses in various diseases. Circulating platelet-leukocyte aggregates (PLAs) represent a sensitive biomarker to estimate disease severity both in patients and murine models. However, a limited understanding of the sensitivity of PLA measurements to methodological variables may undermine their accuracy and comparability.
Objectives:
To elucidate how blood draw techniques, anticoagulation, processing delay and assay temperature affect murine platelet-leukocyte interactions.
Methods:
Murine blood was obtained via retro-orbital, vena cava or cardiac puncture, anticoagulated with heparin, citrate or acid-citrate-dextrose (ACD) +/- recalcification and stored for 30-120 min before stimulation at room temperature or 37°C with adenosine diphosphate (ADP), cross-linked collagen-related peptide (CRP-XL) and protease-activated receptor 4-activating peptide (PAR4-AP). PLA formation and leukocyte activation were analyzed by flow cytometry.
Results:
Basal PLAs were minimally affected by blood sampling and anticoagulant, though delayed processing significantly raised basal PLAs. Agonist-induced PLA formation was independent of anticoagulation, and sampling technique did not affect ADP- or PAR4-AP-induced PLA levels. However, CRP-XL sensitivity was elevated in blood obtained by cardiac puncture. Contrarily, both delayed processing and stimulation at 37°C impaired CRP-XL sensitivity, but augmented ADP and PAR4-AP responses. Regulation of leukocyte activation did not follow PLA patterns, with monocytes and neutrophils displaying distinct susceptibility to anticoagulation, storage and temperature.
Conclusions:
Variations in preparing murine blood samples exert distinct influences on platelet-leukocyte interactions in vitro, underlining the critical need for fastidious assay optimization to support data reproducibility and comparability.
1 Introduction
Platelets are essential mediators in hemostasis, orchestrating (patho-) physiologic pro-thrombotic processes and preserving vascular integrity. However, platelets also retain immunomodulatory functions, inherited from their evolutionary ancestors, and thus represent a highly sensitive first line of defense against invading pathogens (). Platelets regulate leukocyte responses via soluble mediators and by forming platelet-leukocyte aggregates (PLAs) (). These hetero-aggregates are upregulated in a plethora of pathologic conditions, including cardiovascular and inflammatory diseases (, ), acute ischemic stroke (), cancer (), viral infections (–) and sepsis () and have garnered interest as therapeutic targets and biomarkers (, ).
The initial tethering of platelets to leukocytes is mediated by platelet P-selectin (CD62P) binding to leukocyte P-selectin glycoprotein ligand-1 (PSGL-1) with varying binding affinities leading to preferential formation of platelet-monocyte aggregates (PMAs) and platelet-neutrophil aggregates (PNAs) (, ). Further receptors that stabilize PLAs include CD11b/CD18 (Mac-1) on leukocytes and CD40 ligand (CD40L) and activated glycoprotein (GP) IIb/IIIa on activated platelets (–). Accordingly, PLA formation critically depends on the activation of platelets over leukocytes (), enabling platelets to fine-tune pro-inflammatory leukocyte responses such as CD11b activation/upregulation, CD62L shedding, and monocyte polarization, a process termed thromboinflammation (, –).
Increasing recognition of the (patho-) physiologic impact of thromboinflammation has sparked an interest to investigate platelet-leukocyte interactions in patients and murine disease models alike. Most commonly, PLAs are quantified in blood via flow cytometry as it represents a quick, noninvasive and robust technique, though the lack of uniform laboratory protocols makes direct comparisons between studies challenging (, ). Platelets are highly sensitive to changes in their microenvironment and their functional responses are easily influenced by methodological differences, such as blood sampling technique, anticoagulation, pH, temperature and storage (–). While effects on pro-thrombotic platelet responses are well-documented, little is currently known about the influence of procedural details on their immunomodulatory functions. We could recently show that platelet count, pH and temperature impact platelet binding and platelet-mediated activation of neutrophils and monocytes in human blood (). Platelet and leukocyte proteomes and/or transcriptomes are highly conserved and the main receptors facilitating PLA formation are consistent between mice and humans, but substantial differences persist e.g. regarding signaling enzymes, receptor expression and leukocyte subpopulation composition, which might affect sensitivity to external stimuli (, –). Most prominently, human and murine platelets differ in their expression of protease-activated receptors (PARs) and Fc receptors, with human platelets expressing PAR1 and PAR4 as well as FcαRI, FcγRIIA and FcϵRI, whereas murine platelets express PAR3 and PAR4 and no Fc receptors (). However, they also vary in expression levels of e.g. purinergic receptors, protein kinase C and phospholipase C isoforms and cytoskeletal talin (, ) and in the structure of some membrane receptors, e.g., GPVI (). In addition, PLA levels may be influenced by higher platelet counts and by differences in leukocyte composition with lymphocytes representing the dominant circulating subpopulation in mice (). Hence, independent studies on how procedural details modulate platelet-leukocyte interactions in murine setting are required in order to improve experimental design and advance accuracy and comparability of data.
This study aimed to elucidate how common protocol variations in blood sampling, anticoagulation, processing time, and temperature modulate immunomodulatory functions of murine platelets in vitro. By evaluating platelet binding of neutrophils and monocytes, their expression of CD11b and CD62L and monocyte polarization into Ly6C+ subsets upon platelet stimulation, we found that effects on PLA formation were often uncoupled from changes in leukocyte activation and polarization.
2 Materials and methods
2.1 Animals
C57BL/6J mice were bred at Medical University of Vienna (Austria) under standard specific-pathogen-free conditions with access to food and water ad libitum and 12h/12h light/dark cycle. Animal experiments were approved by the Animal Care and Use Committee of the Medical University of Vienna and the Austrian Ministry of Sciences (BMBWF-2024-0.019.492) in accordance with the EU Directive 2010/63 for the protection of animals used for scientific purposes. Experiments were performed on male and female mice aged 12-30 weeks.
2.2 Anesthesia and blood draw
For retro-orbital blood (RO) draw, mice were anesthetized by inhalation of isoflurane (Forane; Baxter Healthcare Corporation). Blood (300 µl) was drawn using heparinized microhematocrit tubes (Brand) into plastic tubes and immediately mixed with 60 µl anticoagulant dilution. For drawing blood from the inferior vena cava (VC) or heart (H), mice were injected intraperitoneally with an overdose of ketamine (250µg/g; Ketasol; Livisto) and xylazine (25µg/g; Xylasol; AniMedica). 500 µl blood was drawn from the VC or H using a 27G needle into syringes containing 100 µl prepositioned anticoagulant within the dead volume. Mice were immediately euthanized by cervical dislocation after blood draw. Of note, as anesthesia may influence hemodynamics and coagulation, all mice were anesthetized with ketamine/xylazine when comparing sampling methods (, ). Blood samples were kept at room temperature (RT; 22-26°C) until analysis.
2.3 Anticoagulation
Per default, blood was anticoagulated with 25 U/ml heparin (Biochrom). To test effects of different anticoagulants, acid-citrate-dextrose (ACD; Sigma-Aldrich) or 3.2% sodium citrate (Greiner) were added immediately after blood draw in a ratio of 1:10 and 2 mM CaCl2 were supplemented as indicated in the figures and figure legends.
2.4 In vitro stimulation
Whole blood was stimulated for 15 min with phosphate-buffered saline (PBS) or adenosine diphosphate (ADP; Sigma-Aldrich), cross-linked collagen-related peptide (CRP-XL; Cambcol), or PAR4-activating peptide (PAR4-AP, AYPGKF-NH2; AnaSpec) at RT or 37°C as indicated in the figures and figure legends. Cells were incubated with labelled antibodies (20 min) and fixed in 1% formaldehyde (10 min). Erythrocytes were lysed using lysis buffer (150 mM NH4Cl, 10 mM KHCO3, 0.1 mM Na2EDTA, pH 7.4; 10 min) and non-lysed cells were pelleted (600×g, 5 min) and resuspended in PBS.
2.5 Flow cytometry and gating strategy
PLA formation and leukocyte activation were analyzed using the following antibodies (all BioLegend): anti-CD41-AF700 (1:100, MWReg30), anti-Ly6G-APC (1:200, 1A8), anti-CD115-BV421 (1:100, AFS98), anti-CD11b-PE-Cy7 (1:400, M1/70), anti-CD62L-FITC (1:100, MEL-14), and anti-Ly6C-BV605 (1:100, HK1.4). Samples were measured on a CytoFLEX S (V4-B2-Y4-R3) flow cytometer and analyzed with CytExpert 2.4 software (both Beckman Coulter).
Myeloid cells were identified as CD11b-positive singlet events and further discriminated into neutrophils and monocytes based on the expression of Ly6G and CD115, respectively. PNAs and PMAs were assessed as the percentage of neutrophils or monocytes positive for CD41 based on fluorescence-minus-one staining. Neutrophil and monocyte activation was further evaluated by assessing CD11b expression and CD62L shedding, quantified as mean fluorescence intensity (MFI). To analyze monocyte polarization, CD115-positive events were discriminated via Ly6C expression into classical (Ly6Chigh), intermediate (Ly6Cint) and non-classical (Ly6Clow) subsets as previously published () and evaluated as percentage of all monocytes (Supplementary Figure 1).
2.6 Statistical analysis
Samples were measured in duplicates and mean values were used for statistical analyses using GraphPad Prism 10 software. Graphs show individual data points representing one animal as well as range and quartiles. Gaussian distribution of data was evaluated by Shapiro-Wilk test and results were analyzed by two-way ANOVA with Geisser-Greenhouse correction, matching data of individual mice. Samples of individual mice were used for multiple stimuli (PBS, ADP, CRP-XL, or PAR4-AP) and for multiple anticoagulants, time-points and temperatures, but not for different blood draw techniques. Differences between treatments were evaluated by multiple comparisons for each agonist using uncorrected Fisher’s least significant difference test. Mixed model analysis was performed in case of missing values. P-values < 0.05 were considered statistically significant. Different p-values p < 0.05, p < 0.01, p < 0.001, and p < 0.0001 are indicated as *, **, ***, and ****, respectively.
3 Results
3.1 Blood collection technique exerts limited influence on PLA formation or platelet-mediated activation of innate leukocytes
First, we assessed the impact of blood sampling technique on PLA formation and platelet-mediated leukocyte activation using three different methods: retro-orbital sinus puncture (RO), vena cava puncture (VC), and heart puncture (H) (Figure 1A). Basal levels of PNAs and PMAs were significantly lower in VC- compared to RO-derived blood (PNAs mean ± SD: 5.23 ± 3.93% vs 7.93 ± 5.40%; PMAs mean ± SD: 3.57 ± 2.29% vs 5.57 ± 3.32%). Notably, while H-derived samples displayed high variability with a subset of samples showing markedly elevated basal PNAs and PMAs, overall levels were comparable to the other sampling techniques (Figures 1B, C). We found that the immunomodulatory response of platelets to specific agonists was only weakly influenced by the sampling method.
Figure 1
No significant differences in PLA formation were observed between the three blood collection techniques in response to ADP and PAR4-AP, but CRP-XL-induced PNA and PMA formation was increased in H-derived blood samples (Figures 1B, C). In contrast, CD11b expression and CD62L shedding of both neutrophils and monocytes as well as monocyte polarization were unaffected by blood sampling method irrespective of the agonist (Figures 1D–H). Of note, when sample stimulation was performed at 37°C instead of RT, differences in CRP-XL-induced PNA or PMA formation were no longer observable (Supplementary Figures 2A–C) and markers of innate leukocyte activation and polarization remained independent of blood draw technique (Supplementary Figures 2D–H).
Overall, these results demonstrate that blood sampling technique has minimal influence on platelet binding to innate leukocytes with augmented CRP-XL-induced PLA formation in H-derived blood, and no apparent effect on platelet-mediated leukocyte activation.
3.2 Calcium-chelating anticoagulants influence platelet-mediated leukocyte activation without affecting PLA formation
Next, we investigated if platelet-leukocyte interactions are perturbed by the anticoagulant strategy adopted for blood sampling. As cellular analyses by flow cytometry require only small sample volumes, RO puncture with heparinized microhematocrit tubes is commonly used to obtain blood in murine models. Accordingly, we examined immunomodulatory platelet functions in heparinized blood with or without further addition of the calcium chelators citrate or ACD (Figure 2A), which lowered the blood pH to around 7.2 and 7.0, respectively (). The effect of recalcification was also evaluated by supplementing ACD-anticoagulated blood with 2 mM CaCl2 (Figure 2A). Anticoagulation with citrate or ACD slightly lowered basal PNA and PMA levels relative to heparin alone, which were restored upon recalcification (Figures 2B, C). Again, we analyzed the effect of anticoagulation and recalcification in response to multiple agonists.
Figure 2
In general, calcium chelation with or without recalcification had negligible impact on agonist-induced PNA and PMA formation (Figures 2B, C), but influenced platelet-mediated leukocyte activation (Figures 2D–H). Interestingly, neutrophil and monocyte functions were differently affected by anticoagulation. While neutrophil CD11b expression was attenuated in the presence of calcium chelators in response to all agonists (Figure 2D), CD62L shedding was largely unaffected with only ACD samples showing minor changes (Figure 2F). Contrarily, calcium chelation had no effect on monocyte CD11b levels with recalcification leading to a slight upregulation (Figure 2E). However, citrate and ACD appeared to facilitate monocyte CD62L shedding while simultaneously preventing polarization, both of which were restored to heparin control levels upon recalcification (Figures 2G, H). Comparable results were obtained when samples were stimulated at 37°C, though effects of recalcification on PLA formation were more pronounced at these conditions (Supplementary Figures 3A–H).
Overall, calcium-chelating anticoagulants reduced baseline PNA and PMA levels, but did not significantly impact their formation following platelet stimulation. In neutrophils, calcium chelation impedes platelet-mediated CD11b upregulation, whereas monocytes display augmented CD62L shedding and impaired polarization. Of note, these effects were already observed in unstimulated blood, suggesting that calcium-chelation may also affect leukocyte activation independently of platelet-mediated fine-tuning.
3.3 Delayed sample processing modulates platelet-leukocyte interaction and fosters platelet-mediated leukocyte activation
Infrastructural constraints of mouse facilities and the experimental need to sample multiple animals consecutively often necessitate delays in blood processing. During this time, storage at inherently non-physiological conditions might influence intercellular interaction and communication. To analyze if delayed processing affects platelet-mediated immunomodulation, whole blood was stored for 30, 60 and 120 min after sampling before stimulation with different agonists (Figure 3A). Basal levels of PNAs (Figure 3B) and PMAs (Figure 3C) were significantly elevated already after 60 min, and further increased at 120 min, displaying a ~2-fold increase over the observation period. This was accompanied by enhanced basal neutrophil and monocyte activation at 120 minutes as indicated by CD11b upregulation (Figures 3D, E). Of note, the agonist-induced PLA formation and leukocyte activation were differently modulated by delays.
Figure 3
A delay in sample processing time from 30 min to 60 min strongly augmented ADP- and PAR4-AP-induced PNA and PMA formation, but reduced PLAs induced by CRP-XL, though the latter didn’t reach statistical significance (Figures 3B, C). Additional delay of sample processing to 120 min after blood draw further exacerbated ADP and PAR4-AP hyper-responsiveness. Consistently, this increase in PLAs was accompanied by upregulation of CD11b over time (Figures 3D, E), while CD62L shedding was only marginally affected by the delay (Figures 3F, G). Further, delayed processing of 120 min fostered ADP- and PAR4-AP-induced monocyte polarization into non-classical Ly6Clow monocytes (Figure 3H). In contrast, delayed processing regulated neither CRP-XL-induced neutrophil activation nor monocyte CD62L shedding or polarization upon CRP-XL stimulation (Figures 3D–H).
Overall, delayed sample processing strongly increased platelet binding to innate leukocytes and facilitated platelet-mediated leukocyte activation and polarization induced by ADP and PAR4-AP, but CRP-XL responses were only slightly modulated. Of note, while CRP-XL-induced PLA formation declined over time, CD11b expression increased, suggesting that platelet-mediated fine-tuning may be overshadowed by direct delay effects on leukocytes.
3.4 Physiologic body temperature primarily affects PLA formation over platelet-mediated leukocyte activation
The potential influence of incubation temperature on in vitro PLA formation and leukocyte activation and monocyte polarization was analyzed by stimulating whole blood obtained by different sampling methods (RO, VC, H) at RT or 37°C (Figure 4A). In general, the percentage of basal PNAs and PMAs was unaffected by incubation temperature, as only a slight difference was observed in RO-derived PNAs (Figures 4B, C). Interestingly, compared to RT, stimulation at 37°C augmented the ADP- and PAR4-AP-induced PLA formation regardless of the blood sampling technique, but PLA formation upon CRP-XL was significantly reduced (Figures 4B, C). However, this agonist-specific pattern of temperature-mediated changes in PLA formation was not reflected in leukocyte activation or polarization. On one side, CD11b expression by neutrophils was temperature-independent (Figure 5A), whereas monocyte CD11b was significantly reduced at 37°C (Figure 5B). On the other side, physiologic body temperature slightly fostered both CD62L shedding and monocyte polarization into non-classical monocytes at selected conditions (Figures 5C, D, Supplementary Figure 4).
Figure 4
Figure 5
We further adopted our protocol to investigate the potential interaction of temperature and anticoagulant (Supplementary Figure 5A). In general, the regulation of PLA formation (Supplementary Figures 5B, C) and leukocyte activation (Supplementary Figures 6A–D) by temperature was independent of the anticoagulant, though ADP-induced PLA formation and monocyte polarization were independent of temperature upon calcium chelation (Supplementary Figures 5B, C, 7). Interestingly, in the presence of calcium chelators but not heparin alone, neutrophil CD11b followed the pattern of PNAs, pointing towards a role of direct interactions in these settings (Supplementary Figures 5B, 6A). In contrast, temperature effects on monocyte CD11b and leukocyte CD62L were comparable between anticoagulants and uncoupled from PLA formation, with effects on CD62L being most pronounced in heparinized blood (Supplementary Figures 6B–D).
Collectively, these findings indicate that incubation temperature distinctly modulates PLA formation induced by ADP, CRP-XL, and PAR4-AP, independently of the blood sampling method or type of anticoagulant. Temperature effects on platelet-induced leukocyte activation are subtle and generally do not follow PLA patterns, with neutrophils and monocytes showing partially distinct regulation.
4 Discussion
This study investigated the impact of procedural variations such as blood sampling site, anticoagulant, processing delay, and incubation temperature, on murine platelet-leukocyte interactions. With growing recognition of the (patho-) physiologic roles of thromboinflammation and immunothrombosis, recent years have seen a rise in studies investigating platelet-leukocyte crosstalk across various clinical settings and murine models. Given this surge of interest and the methodological variability, a deeper understanding of how experimental factors influence PLA formation is essential to ensure reproducibility and to interpret potential discrepancies across studies.
We and others could previously show that human and murine platelets are highly sensitive to microenvironmental variations, which influence platelet activation and aggregation in vitro, including acidosis and alkalosis (, , ), hypo- and hyperthermia (–, ), anticoagulation (, , , ), delayed processing (, , ), and platelet count (, ). However, whether immunomodulatory platelet functions are similarly susceptible to procedural changes remains poorly understood with only a handful of studies addressing the sensitivity of human PNA and PMA formation to alterations in sampling, temperature, platelet count, pH, anticoagulant, and storage time (, –).
In the current study, we extended these investigations to murine settings, demonstrating that agonist-induced PLA formation in murine blood was significantly influenced by processing delay and temperature, whereas blood sampling technique and anticoagulant had minimal influence on agonist responses. Protocol-induced changes in murine leukocyte activation and polarization did not consistently parallel PLA patterns, at least not within the early time points tested.
Our results emphasize that despite similarities in murine and human PLA sensitivity to some microenvironmental factors, species-specific differences underline the importance to confirm findings of murine models in human setting and vice versa. Moreover, the insensitivity of agonist-induced PNA and PMA formation to temperature in humans and to sampling site or anticoagulant in mice – variables with concomitantly profound impact on platelet function – suggests that PLA formation may represent a more robust marker for platelet activation than CD62P expression or GPIIb/IIIa activation in certain settings (, , , , ).
While murine platelet responsiveness differs between RO, VC and H blood (), effects of sampling technique on PLA formation were limited to basal levels and CRP-XL sensitivity. These observations were somewhat unexpected, as murine blood sampling technique was previously shown to affect white blood cell but not platelet count () and platelet-to-leukocyte ratio influences agonist-induced PLA formation (), suggesting that PLA levels may also differ by blood sampling. In line with our observations, previous studies in patient cohorts also reported only subtle and inconsistent differences in PLAs between arterial/venous or central/peripheral blood (, , 50). In our setup, PLA regulation followed trends observed for platelet activation, suggesting that altered platelet responsiveness is the driving force for altered PLA formation. While we did not investigate the underlying mechanisms of how blood sampling influences murine platelet function or PLA formation, different tissue and blood chemistry and hemodynamic conditions may contribute to site-specific responses, e.g. due to variation in oxygenation and shear forces. Arterial and central venous blood also display slight differences in pH, which could influence CD62P-PSGL-1 binding (51, 52). In addition, extent and quality of tissue trauma during sampling may prime or pre-activate platelets to form PLAs, as RO sampling may injure capillary-adjacent tissue and lead to sample contamination with tissue fluid (53), while puncture of the tissue factor-rich myocardium could foster local thrombin generation (54).
Similarly, the influence of anticoagulant on murine PLA formation was minimal and limited to basal PLA levels, mirroring effects observed in human samples. In both species, calcium-chelating agents such as citrate, ACD or ethylenediaminetetraacetic acid (EDTA) yield lower basal PLA levels than thrombin inhibitors such as heparin, hirudin or phenylalanyl-prolyl-arginine chloromethyl ketone (PPACK) (, , 55), reflecting the pivotal and species-independent role of calcium signaling for cellular functions including platelet degranulation as well as the calcium dependency of CD62P-PSGL-1 binding (56, 57). Again, PNAs and PMAs exhibited greater robustness than platelet CD62P or active GPIIb/IIIa against anticoagulation variation, which affects sensitivity of murine and human platelets to various agonists (, ). This anticoagulant-independent PNA and PMA formation upon platelet stimulation suggest that remaining extracellular calcium and/or dense granule-derived calcium released by activated platelets is sufficient to form PLAs. In line with previous findings of augmented monocyte and neutrophil responsiveness in heparinized compared to citrated blood (58), monocyte and neutrophil parameters also exhibited anticoagulant-associated variability in our setup. Interestingly, patterns were more reminiscent of platelet degranulation than PLA formation, pointing towards a putative role of platelet immunomodulation via soluble mediators in this experimental setting ().
In contrast, delayed processing of murine blood samples profoundly impacted on basal and agonist-induced PLA formation as previously reported in human blood upon short-term storage (, 50, 59). Whether the declining CRP-XL sensitivity associated with short-term processing delay we observed in murine blood also occurs in human setting currently remains unknown. However, prolonged storage of human platelets induces both spontaneous degranulation and GPVI shedding, thus increasing basal activation and dampening GPVI-mediated responses (60). Unphysiological storage conditions including stasis and oxidation may foster pro-coagulant and pro-thrombotic processes that facilitate low-key platelet activation and priming, e.g. via release of ADP or thromboxane A2. In addition, human platelets were shown to release matrix metalloproteinase (MMP) 1 and MMP2 during activation and PLA formation, which cleave PAR-1 at a cryptic ligand site, stimulating Gq and G12/13-induced signaling events and thereby priming platelets for full activation by other stimuli (61, 62). Although currently unexplored, murine platelets may employ a similar mechanism of protease-induced priming via PAR4 cleavage. Processing delay effects on PLA formation and innate leukocyte activation exacerbated over time, highlighting the importance of staggered analyses to prevent artifactual bias between experimental cohorts. In experimental settings where staggered analyses with fixed time-points between sampling and analyses are unfeasible, e.g. due to large cohorts or short time intervals, sampling mice at randomized order may help to avoid bias, but at the expense of increased within-treatment variation.
We detected similar agonist-specific regulation of murine PLA formation by temperature with increased ADP- and PAR4-AP-sensitivity but decreased CRP-XL sensitivity at 37°C compared to RT, closely mirroring the effect of temperature specifically on platelet CD62P expression, but not CD40L or active GPIIb/IIIa, underlining the central role of CD62P for platelet-leukocyte binding under these conditions (). Similar to the effects of storage, platelet handling at RT may lead to priming and auto-activation. Indeed, activity of the ADP-degrading ectonucleotidase CD39 is reduced at RT relative to 37°C, enhancing ADP feedback at hypothermic conditions and leading to increased basal PLA formation in hypothermic mice (). Temperature also determines the rate of GPVI shedding, which could explain the impaired CRP-XL sensitivity we observed at RT (63). Notably, the regulation of PLA formation by temperature in human blood remains inconclusive. We and others did not detect any differences in ADP or PAR1-AP-induced PMAs or PNAs between 37°C and mild (31-34°C) or severe hypothermia (RT) despite profound regulation of platelet activation (, ). While further studies are needed to confirm this, the observed discrepancies between human and murine settings may reflect the profound species-specific differences in thermoregulation. Since humans generally generate sufficient heat as byproduct of metabolism, thermoregulation is oriented towards heat dissipation rather than conservation, which might explain the described insensitivity of human PLAs to hypothermia (64). In contrast, heat loss is a constant risk to mice, which have to invest over 30% of their energy expenditure into maintaining body temperature at ambient temperature. In times of forced hypometabolism due to fasting, mice can enter a state of controlled hypothermia, leading to core temperature fluctuations of up to 10°C (64). Increased PLA formation upon hypothermia could thus support immune responses at conditions of extreme systemic stress. Furthermore, depending on ambient temperature and induction dose, mice commonly develop hypothermia, rather than fever, during severe inflammatory or infectious conditions under standard housing conditions (65, 66). Hence, awareness of how temperature affects thrombotic and immunomodulatory platelet functions is crucial to distinguish e.g. pathogen-specific from general microenvironmental effects.
Notably, while the use of whole blood in our study preserves physiologic blood composition and prevents potential artifacts upon cell isolation, experimental setups did not allow us to distinguish platelet-mediated modulation of leukocyte function from direct effects of protocol variables. Also, larger samples sizes may be required to detect subtle effects. Due to unclear leukocyte sensitivity to ADP and PAR4-AP, we also cannot exclude off-target leukocyte stimulation. Thus, future studies using isolated cells and additional agonists are warranted to disentangle individual cellular contributions. In conclusion, our findings shed light on how common procedural variations in preparing murine blood samples – sampling site, anticoagulant, processing delay, and assay temperature – exert distinct influences on platelet-leukocyte interactions in vitro, underlining the critical need for fastidious assay optimization to support data reproducibility and comparability.
We therefore provide several recommendations that should be considered for optimizing the in vitro analysis and comparability of murine platelet-leukocyte interactions:
Anticoagulant and sampling site can be freely chosen based on the experimental needs.
The time between sample collection and processing should be standardized. If that is not possible, the sampling order should be randomized to prevent bias when comparing different genotypes or treatments.
Assays should be performed at consistent temperature conditions. If the samples are processed at RT, temperature should be controlled as best as possible, to avoid that daily shifts in ambient temperatures could greatly influence the variability of the results.
In order to best preserve baseline PLA levels, blood from vena cava should be anticoagulated with calcium-chelating agents and processed within 30 minutes.
Agonist concentrations should be titrated for individual experimental setups, particularly when changing processing delays or temperature.
When investigating inflammatory/infectious disease models or other models affecting body temperature, samples of control and challenged animals should be allowed to adjust to equal temperature before analysis in order to filter noxa-specific effects.
Details of sampling site, anticoagulant, processing delay, and assay temperature should be specified in in-house protocols and publications to facilitate data reproduction.
Statements
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
Ethics statement
The animal study was approved by Animal Care and Use Committee of the Medical University of Vienna and the Austrian Ministry of Sciences (BMBWF-2024-0.019.492). The study was conducted in accordance with the local legislation and institutional requirements.
Author contributions
ST: Conceptualization, Investigation, Writing – review & editing, Methodology, Visualization, Writing – original draft. AA: Conceptualization, Funding acquisition, Writing – review & editing, Supervision. WS: Writing – original draft, Visualization, Supervision, Writing – review & editing, Conceptualization.
Funding
The author(s) declare financial support was received for the research and/or publication of this article. This study was funded by the Austrian Science Fund (FWF) (P-32064, P-34783) and the National Institutes of Health (NIH) (R01DK122813). For the purpose of open access, the author has applied a Creative Commons CC-BY public copyright license to any author accepted manuscript version arising from this submission.
Acknowledgments
We thank Celine Nemethy and Mario Hilpert for their technical assistance.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2025.1637038/full#supplementary-material
References
1
SchrottmaierWCMussbacherMSalzmannMAssingerA. Platelet-leukocyte interplay during vascular disease. Atherosclerosis. (2020) 307:109–20. doi: 10.1016/j.atherosclerosis.2020.04.018
2
TrivignoSMGGuidettiGFBarbieriSSZaraM. Blood platelets in infection: the multiple roles of the platelet signalling machinery. Int J Mol Sci. (2023) 24:7462. doi: 10.3390/ijms24087462
3
RongMYWangCHWuZBZengWZhengZHHanQet al. Platelets induce a proinflammatory phenotype in monocytes via the CD147 pathway in rheumatoid arthritis. Arthritis Res Ther. (2014) 16:478. doi: 10.1186/s13075-014-0478-0
4
ZellerJALenzAEschenfelderCCZunkerPDeuschlG. Platelet-leukocyte interaction and platelet activation in acute stroke with and without preceding infection. Arterioscler Thromb Vasc Biol. (2005) 25:1519–23. doi: 10.1161/01.ATV.0000167524.69092.16
5
MeikleCKMeislerAJBirdCMJeffriesJAAzeemNGargPet al. Platelet-T cell aggregates in lung cancer patients: Implications for thrombosis. PloS One. (2020) 15:e0236966. doi: 10.1371/journal.pone.0236966
6
HottzEDMedeiros-de-MoraesIMVieira-de-AbreuAde AssisEFVals-de-SouzaRCastro-Faria-NetoHCet al. Platelet activation and apoptosis modulate monocyte inflammatory responses in dengue. J Immunol. (2014) 193:1864–72. doi: 10.4049/jimmunol.1400091
7
ManneBKDenormeFMiddletonEAPortierIRowleyJWStubbenCet al. Platelet gene expression and function in patients with COVID-19. Blood. (2020) 136:1317–29. doi: 10.1182/blood.2020007214
8
DaiXPWuFYCuiCLiaoXJJiaoYMZhangCet al. Increased platelet-CD4(+) T cell aggregates are correlated with HIV-1 permissiveness and CD4(+) T cell loss. Front Immunol. (2021) 12:799124. doi: 10.3389/fimmu.2021.799124
9
GawazMFateh-MoghadamSPilzGGurlandHJWerdanK. Platelet activation and interaction with leucocytes in patients with sepsis or multiple organ failure. Eur J Clin Invest. (1995) 25:843–51. doi: 10.1111/j.1365-2362.1995.tb01694.x
10
PlutaKPorebskaKUrbanowiczTGaseckaAOlasinska-WisniewskaATargonskiRet al. Platelet-leucocyte aggregates as novel biomarkers in cardiovascular diseases. Biol (Basel). (2022) 11:224. doi: 10.3390/biology11020224
11
KaiserREscaigRErberJNicolaiL. Neutrophil-platelet interactions as novel treatment targets in cardiovascular disease. Front Cardiovasc Med. (2021) 8:824112. doi: 10.3389/fcvm.2021.824112
12
SchrottmaierWCKralJBBadrnyaSAssingerA. Aspirin and P2Y12 Inhibitors in platelet-mediated activation of neutrophils and monocytes. Thromb Haemost. (2015) 114:478–89. doi: 10.1160/TH14-11-0943
13
KaplanZSJacksonSP. The role of platelets in atherothrombosis. Hematol Am Soc Hematol Educ Program. (2011) 2011:51–61. doi: 10.1182/asheducation-2011.1.51
14
ZirlikAMaierCGerdesNMacFarlaneLSoosairajahJBavendiekUet al. CD40 ligand mediates inflammation independently of CD40 by interaction with Mac-1. Circulation. (2007) 115:1571–80. doi: 10.1161/CIRCULATIONAHA.106.683201
15
WangYGaoHShiCErhardtPWPavlovskyAASDet al. Leukocyte integrin Mac-1 regulates thrombosis via interaction with platelet GPIbalpha. Nat Commun. (2017) 8:15559. doi: 10.1038/ncomms15559
16
PatkoZCsaszarAAcsadyGPeterKSchwarzM. Roles of Mac-1 and glycoprotein IIb/IIIa integrins in leukocyte-platelet aggregate formation: stabilization by Mac-1 and inhibition by GpIIb/IIIa blockers. Platelets. (2012) 23:368–75. doi: 10.3109/09537104.2011.625098
17
PeshkovaADSaliakhutdinovaSMSounbuliKSelivanovaYAAndrianovaIAKhabirovaAIet al. The differential formation and composition of leukocyte-platelet aggregates induced by various cellular stimulants. Thromb Res. (2024) 241:109092. doi: 10.1016/j.thromres.2024.109092
18
BadrnyaSSchrottmaierWCKralJBYaiwKCVolfISchabbauerGet al. Platelets mediate oxidized low-density lipoprotein-induced monocyte extravasation and foam cell formation. Arterioscler Thromb Vasc Biol. (2014) 34:571–80. doi: 10.1161/ATVBAHA.113.302919
19
TersteegCHeijnenHFEcklyAPasterkampGUrbanusRTMaasCet al. FLow-induced PRotrusions (FLIPRs): a platelet-derived platform for the retrieval of microparticles by monocytes and neutrophils. Circ Res. (2014) 114:780–91. doi: 10.1161/CIRCRESAHA.114.302361
20
SchrottmaierWCAssingerA. The concept of thromboinflammation. Hamostaseologie. (2024) 44:21–30. doi: 10.1055/a-2178-6491
21
FinsterbuschMSchrottmaierWCKral-PointnerJBSalzmannMAssingerA. Measuring and interpreting platelet-leukocyte aggregates. Platelets. (2018) 29:677–85. doi: 10.1080/09537104.2018.1430358
22
JirouskovaMShetASJohnsonGJ. A guide to murine platelet structure, function, assays, and genetic alterations. J Thromb Haemost. (2007) 5:661–9. doi: 10.1111/j.1538-7836.2007.02407.x
23
KalbMLPoturaLScharbertGKozek-LangeneckerSA. The effect of ex vivo anticoagulants on whole blood platelet aggregation. Platelets. (2009) 20:7–11. doi: 10.1080/09537100802364076
24
EtulainJNegrottoSCarestiaAPoznerRGRomaniukMAD’AtriLPet al. Acidosis downregulates platelet haemostatic functions and promotes neutrophil proinflammatory responses mediated by platelets. Thromb Haemost. (2012) 107:99–110. doi: 10.1160/TH11-06-0443
25
StraubAKrajewskiSHohmannJDWesteinEJiaFBasslerNet al. Evidence of platelet activation at medically used hypothermia and mechanistic data indicating ADP as a key mediator and therapeutic target. Arterioscler Thromb Vasc Biol. (2011) 31:1607–16. doi: 10.1161/ATVBAHA.111.226373
26
EtulainJLapponiMJPatrucchiSJRomaniukMABenzadonRKlementGLet al. Hyperthermia inhibits platelet hemostatic functions and selectively regulates the release of alpha-granule proteins. J Thromb Haemost. (2011) 9:1562–71. doi: 10.1111/j.1538-7836.2011.04394.x
27
SchmuckenschlagerAPirabeAAssingerASchrottmaierWC. Platelet count, temperature and pH value differentially affect hemostatic and immunomodulatory functions of platelets. Thromb Res. (2023) 223:111–22. doi: 10.1016/j.thromres.2023.01.026
28
GrillAKiouptsiKKarwotCJurkKReinhardtC. Evaluation of blood collection methods and anticoagulants for platelet function analyses on C57BL/6J laboratory mice. Platelets. (2020) 31:981–8. doi: 10.1080/09537104.2019.1701185
29
MussbacherMSchrottmaierWCSalzmannMBrostjanCSchmidJAStarlingerPet al. Optimized plasma preparation is essential to monitor platelet-stored molecules in humans. PloS One. (2017) 12:e0188921. doi: 10.1371/journal.pone.0188921
30
TrivignoSMGAssingerASchrottmaierWC. Impact of sampling technique, anticoagulant, processing delay and temperature on murine platelet function in whole blood. Res Pract Thromb Haemostasis. (2025) 9:102883. doi: 10.1016/j.rpth.2025.102883
31
HackertNSRadtkeFAExnerTLorenzHMMuller-TidowCNigrovicPAet al. Human and mouse neutrophils share core transcriptional programs in both homeostatic and inflamed contexts. Nat Commun. (2023) 14:8133. doi: 10.1038/s41467-023-43573-9
32
Bjornson-HooperZBFragiadakisGKSpitzerMHChenHMadhireddyDHuKet al. A comprehensive atlas of immunological differences between humans, mice, and non-human primates. Front Immunol. (2022) 13:867015. doi: 10.3389/fimmu.2022.867015
33
BalkenholJKaltdorfKVMammadova-BachEBraunANieswandtBDittrichMet al. Comparison of the central human and mouse platelet signaling cascade by systems biological analysis. BMC Genomics. (2020) 21:897. doi: 10.1186/s12864-020-07215-4
34
AssingerASchrottmaierWCSalzmannMRayesJ. Platelets in sepsis: an update on experimental models and clinical data. Front Immunol. (2019) 10:1687. doi: 10.3389/fimmu.2019.01687
35
PearsCJThornberKAugerJMHughesCEGrygielskaBProttyMBet al. Differential roles of the PKC novel isoforms, PKCdelta and PKCepsilon, in mouse and human platelets. PloS One. (2008) 3:e3793. doi: 10.1371/journal.pone.0003793
36
Janus-BellEAhmedMUReceveurNMouriauxCNieswandtBGardinerEEet al. Differential role of glycoprotein VI in mouse and human thrombus progression and stability. Thromb Haemost. (2021) 121:543–6. doi: 10.1055/s-0040-1718737
37
GuCLiuJLiYZhangQLinCHuangJet al. Comparison of ketamine/xylazine and isoflurane anesthesia on the establishment of mouse middle cerebral artery occlusion model. Exp Anim. (2023) 72:209–17. doi: 10.1538/expanim.22-0131
38
SashindranathMSturgeonSAFrenchSCraenmehrDDDSelanCFreddiSet al. The mode of anesthesia influences outcome in mouse models of arterial thrombosis. Res Pract Thromb Haemost. (2019) 3:197–206. doi: 10.1002/rth2.12184
39
MildnerASchonheitJGiladiADavidELara-AstiasoDLorenzo-VivasEet al. Genomic characterization of murine monocytes reveals C/EBPbeta transcription factor dependence of ly6C(-) cells. Immunity. (2017) 46:849–62 e7. doi: 10.1016/j.immuni.2017.04.018
40
MarumoMSuehiroAKakishitaEGroschnerKWakabayashiI. Extracellular pH affects platelet aggregation associated with modulation of store-operated Ca(2+) entry. Thromb Res. (2001) 104:353–60. doi: 10.1016/s0049-3848(01)00374-7
41
RamstromSSodergrenALTynngardNLindahlTL. Platelet function determined by flow cytometry: new perspectives? Semin Thromb Hemost. (2016) 42:268–81. doi: 10.1055/s-0035-1570082
42
HardyMLessireSKasikciSBaudarJGuldenpfennigMCollardAet al. Effects of time-interval since blood draw and of anticoagulation on platelet testing (Count, indices and impedance aggregometry): A systematic study with blood from healthy volunteers. J Clin Med. (2020) 9:2515. doi: 10.3390/jcm9082515
43
BoknasNMacwanASSodergrenALRamstromS. Platelet function testing at low platelet counts: When can you trust your analysis? Res Pract Thromb Haemost. (2019) 3:285–90. doi: 10.1002/rth2.12193
44
ShahBSedlisSPMaiXAmorosoNSGuoYLorinJDet al. Comparison of platelet activity measurements by use of arterial and venous blood sampling. J Thromb Haemost. (2013) 11:1922–4. doi: 10.1111/jth.12370
45
HardingSADinJNSarmaJJessopAWeatherallMFoxKAet al. Flow cytometric analysis of circulating platelet-monocyte aggregates in whole blood: methodological considerations. Thromb Haemost. (2007) 98:451–6. doi: 10.1160/TH06-11-0654
46
BournazosSRennieJHartSPDransfieldI. Choice of anticoagulant critically affects measurement of circulating platelet-leukocyte complexes. Arterioscler Thromb Vasc Biol. (2008) 28:e2–3. doi: 10.1161/ATVBAHA.107.153387
47
LindenblattNMengerMDKlarEVollmarB. Sustained hypothermia accelerates microvascular thrombus formation in mice. Am J Physiol Heart Circ Physiol. (2005) 289:H2680–7. doi: 10.1152/ajpheart.00425.2005
48
HoggattJHoggattAFTateTAFortmanJPelusLM. Bleeding the laboratory mouse: Not all methods are equal. Exp Hematol. (2016) 44:132–7 e1. doi: 10.1016/j.exphem.2015.10.008
49
TornuddMRodwan Al GhraouiMWahlgrenSBjorkmanEBergSKvittingJPet al. Quantification of platelet function - a comparative study of venous and arterial blood using a novel flow cytometry protocol. Platelets. (2022) 33:926–34. doi: 10.1080/09537104.2021.2019209
50
RondinaMTGrissomCKMenSHarrisESSchwertzHZimmermanGAet al. Whole blood flow cytometry measurements of in vivo platelet activation in critically-Ill patients are influenced by variability in blood sampling techniques. Thromb Res. (2012) 129:729–35. doi: 10.1016/j.thromres.2011.11.031
51
SuttonRNWilsonRFWaltAJ. Differences in acid-base levels and oxygen-saturation between central venous and arterial blood. Lancet. (1967) 2:748–51. doi: 10.1016/s0140-6736(67)91947-2
52
CaoTMTakataniTKingMR. Effect of extracellular pH on selectin adhesion: theory and experiment. Biophys J. (2013) 104:292–9. doi: 10.1016/j.bpj.2012.12.005
53
HughesCE. How to perform aggregometry and lumi-aggregometry in mouse platelets. Platelets. (2018) 29:638–43. doi: 10.1080/09537104.2018.1478074
54
RauchU. Tissue factor and cardiomyocytes. Thromb Res. (2012) 129 Suppl 2:S41–3. doi: 10.1016/j.thromres.2012.02.029
55
BasavarajMGOsterudBHansenJB. Influence of different anticoagulants on monocyte procoagulant functions and monocyte-platelet aggregates formation. J Thromb Haemost. (2012) 10:1698–702. doi: 10.1111/j.1538-7836.2012.04821.x
56
BergmeierWStefaniniL. Novel molecules in calcium signaling in platelets. J Thromb Haemostasis. (2009) 7:187–90. doi: 10.1111/j.1538-7836.2009.03379.x
57
SladekVŠmakPTvaroškaI. How E L, and P-selectins bind to sLex and PSGL-1: A quantification of critical residue interactions. J Chem Inf Modeling. (2023) 63:5604–18. doi: 10.1021/acs.jcim.3c00704
58
EngstadCSGuttebergTJOsterudB. Modulation of blood cell activation by four commonly used anticoagulants. Thromb Haemost. (1997) 77:690–6. doi: 10.1055/s-0038-1656035
59
NagasawaAMatsunoKTamuraSHayasakaKShimizuCMoriyamaT. The basis examination of leukocyte-platelet aggregates with CD45 gating as a novel platelet activation marker. Int J Lab Hematol. (2013) 35:534–41. doi: 10.1111/ijlh.12051
60
HosseiniEGhasemzadehMNassajiFJamaatZP. GPVI modulation during platelet activation and storage: its expression levels and ectodomain shedding compared to markers of platelet storage lesion. Platelets. (2017) 28:498–508. doi: 10.1080/09537104.2016.1235692
61
TrivediVBoireATchernychevBKaneiderNCLegerAJO’CallaghanKet al. Platelet matrix metalloprotease-1 mediates thrombogenesis by activating PAR1 at a cryptic ligand site. Cell. (2009) 137:332–43. doi: 10.1016/j.cell.2009.02.018
62
SebastianoMMomiSFalcinelliEBuryLHoylaertsMFGreseleP. A novel mechanism regulating human platelet activation by MMP-2-mediated PAR1 biased signaling. Blood. (2017) 129:883–95. doi: 10.1182/blood-2016-06-724245
63
MilesJBaileySLObenausAMMollicaMYUsaneerungruengCByrneDet al. Storage temperature determines platelet GPVI levels and function in mice and humans. Blood Adv. (2021) 5:3839–49. doi: 10.1182/bloodadvances.2021004692
64
ReitmanML. Of mice and men - environmental temperature, body temperature, and treatment of obesity. FEBS Lett. (2018) 592:2098–107. doi: 10.1002/1873-3468.13070
65
MeiJRiedelNGrittnerUEndresMBannekeSEmmrichJV. Body temperature measurement in mice during acute illness: implantable temperature transponder versus surface infrared thermometry. Sci Rep. (2018) 8:3526. doi: 10.1038/s41598-018-22020-6
66
RudayaAYSteinerAARobbinsJRDragicASRomanovskyAA. Thermoregulatory responses to lipopolysaccharide in the mouse: dependence on the dose and ambient temperature. Am J Physiol Regul Integr Comp Physiol. (2005) 289:R1244–52. doi: 10.1152/ajpregu.00370.2005
Summary
Keywords
platelet-leukocyte aggregate, blood draw, anticoagulant, delayed processing, temperature, method optimization, murine model
Citation
Trivigno SMG, Assinger A and Schrottmaier WC (2025) Experimental conditions shape in vitro formation of murine platelet-leukocyte aggregates. Front. Immunol. 16:1637038. doi: 10.3389/fimmu.2025.1637038
Received
28 May 2025
Accepted
18 August 2025
Published
02 September 2025
Volume
16 - 2025
Edited by
Meganathan Kannan, Central University of Tamil Nadu, India
Reviewed by
Caroline N. Jones, The University of Texas at Dallas, United States
Matthew Hindle, Leeds Beckett University, United Kingdom
Updates
Copyright
© 2025 Trivigno, Assinger and Schrottmaier.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Waltraud Cornelia Schrottmaier, waltraud.schrottmaier@meduniwien.ac.at; Alice Assinger, alice.assinger@meduniwien.ac.at
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.