C376 Figure 1

Activated partial thromboplastin time assay

The activated partial thromboplastin time coagulation assay is one of the most frequently performed tests in hematology, and has a variety of uses in clinical practice. Accurate interpretation of the test depends on both clinical context (i.e. why the test was ordered) as well as an understanding of each laboratory’s normal reference range and assay sensitivity regarding detection of factor deficiencies, (unfractionated) heparin therapy and lupus anticoagulant.

by Dr Julianne Falconer and Dr Emmanuel J. Favaloro

Introduction
The activated partial thromboplastin time (APTT) assay is a commonly requested coagulation test, perhaps second only to the prothrombin time (PT)/international normalized ratio (INR), as used to monitor vitamin K antagonist (VKA) therapy such as warfarin. The APTT test assesses the intrinsic pathway of coagulation and has a variety of clinical uses; however, it is primarily used to screen for hemostasis issues, factor deficiencies, lupus anticoagulant (LA) or to monitor unfractionated heparin (UFH) therapy dosing. The test is sensitive to, but not specific for, detection of these abnormalities or influences. APTT prolongation may also be seen in liver disease, disseminated intravascular coagulation (DIC) and in the presence of factor inhibitors. Interpretation of an APTT result, be it normal or prolonged, is dependent on both the clinical context and the characteristics of the reagents and the assay as performed on particular instruments. The establishment of normal reference intervals (NRIs) and assessment of the assay in terms of its sensitivity to heparin, LA and clotting factors are important to provide accurate information for clinical interpretation [1].

Uses of the APTT assay
The APTT test is a global assay that measures the time to fibrin clot formation via the contact factor (‘intrinsic’) pathway (Fig. 1). The APTT test is usually performed on fully automated platforms, and involves activation of coagulation within the test (plasma) sample by the addition of specific reagents (containing phospholipids, contact factor activator and calcium chloride). The type of contact factor activator, and the type and concentration of phospholipid, used in the APTT reagent affects the sensitivity of the assay to, and thus its prolongation by, factor deficiencies, as well as to the presence of UFH and LA [1, 2].

The APTT is commonly used to monitor anticoagulation therapy using UFH (Table 1). It may also be prolonged, however, in the presence of VKAs including warfarin, as well as direct oral anticoagulants (DOACs) such as dabigatran (direct thrombin inhibitor) and rivaroxaban (anti-FXa inhibitor). The APTT is generally less sensitive to, but may still be slightly prolonged, by anticoagulation with low molecular weight heparin (LMWH) and with apixaban, another DOAC (anti-FXa inhibitor).

In the absence of anticoagulation therapy, an ‘isolated’ prolonged APTT may be used to determine a clinically important factor deficiency, for example as a screen for hemophilia A (FVIII deficiency), hemophilia B (FIX deficiency), or hemophilia C (FXI deficiency), or even von Willebrand Disease (VWD; which may be associated with loss of FVIII) [1]. An ‘isolated’ prolonged APTT, however, could instead be indicative of a clinically unimportant factor deficiency such as FXII or other contact factor deficiency. Other alternatives for an ‘isolated’ prolonged APTT include a factor inhibitor or LA. Despite causing prolongation of APTT in vitro, LA may be associated clinically with increased risk of thrombosis rather than bleeding. A prolonged APTT may be accompanied by a prolonged PT in the context of liver disease, DIC or fibrinogen (or other ‘common factor pathway’ deficiency/ies). Clinical context, therefore, must form the basis for accurate interpretation of APTT, be it either normal or prolonged, and together with other routine coagulation studies is essential to guide further investigations (Fig. 2).

A large number of commercial APTT reagents are now available, with wide variation in the type of contact factor activator and phospholipid source and concentration used. This will result in variation in sensitivity to all typical influences; thus also causing substantial variation in NRIs between APTT reagents, and requiring the establishment and verification of NRIs based on both the reagent and instrument in use. Unawareness of variation in APTT reagent sensitivity in context of clinical picture will lead to flawed clinical interpretation of results.

Establishing and verification of NRIs
A minimum of 20 normal individuals may be sufficient to establish a NRI for PT and APTT, according to guidance documents provided by the Clinical and Laboratory Standards Institute (CLSI) [3, 4]. However, a larger number of normal individuals is recommended to establish an initial NRI, following which a smaller sample of normal individuals may be used for future verification purposes [1].

As an example, Figure 3 shows an initial (historical) NRI estimation for APTT testing using a dataset of nearly 80 normal individuals. This included one outlier sample result (Fig. 3a), which was removed to produce the cleaner dataset used to produce the subsequent NRI. A statistical normality test was performed and showed the distribution to be near Gaussian, allowing parametric statistical assessment. For APTT testing, the NRI would aim to evaluate the 95 % confidence interval, approximating a mean
± 2 standard deviation (SD) assessment (Fig. 3b). Logarithmic transformation can instead be used to normalize test data when it is non-parametric and fits a log distribution (e.g. Fig. 3c).

If a NRI has been previously established by the laboratory or by the manufacturer of the APTT reagent using a specific reagent/instrument combination, the laboratory could use a process of transference to verify the ‘established’ NRI as fit for purpose. This may be done by establishing that a majority of samples in a small set of normal donors give values within the established NRI (e.g. >18 out of a set of 20 normal samples). Samples obtained from normal individuals or a dataset of normal patient test results may be used to assess a new lot of reagent to establish whether an existing NRI can be maintained when changing reagent lots.

Factor (deficiency) sensitivity
Factor sensitivity of an APTT assay (representing a specific reagent/instrument combination) can be assessed in a number of ways. One method involves serial dilution of either in-house or commercially derived normal plasma, into single-factor deficient plasma, in order to generate a series of aliquots with reducing factor levels. These samples are then tested by APTT and for factor level. The APTT reagent is regarded to be sensitive to the level of factor that correlates with the upper limit of the NRI.

A more accurate process, though particularly difficult to perform outside of a hemophilia centre, is to establish APTT values from true patients with various known factor levels [1, 2] (e.g. Fig. 4).

As a general guide, if the APTT is used for screening factor deficiencies, then the patient APTT value should be above the NRI when their factor level is below around 30–40 U/dL for FVIII, FIX, and FXI.

Sensitivity of APTT to UFH
Despite the changing landscape of anticoagulation therapy with the addition of direct anti-Xa inhibitors (rivaroxaban and apixaban) and a direct thrombin inhibitor (dabigatran) [5, 6], both LMWH and UFH continue to be frequently used in clinical practice. In turn, the APTT continues to be a generally preferred method of UFH monitoring over anti-FXa, given the wide availability and relative low cost of the assay. However, unlike the calibrated anti-FXa assay, APTT results are subject to variation between different instruments, be they be based on optical or mechanical clot detection methods [7], different APTT reagents (including variation between different lots of the same reagent type) and algorithms used on instruments for raw data processing. This poses a substantial problem with regards to historical recommendations to maintain patients on UFH between 1.5 and 2.5 times the ‘normal reference value’ (as based on limited evidence [8]). Therapeutic ranges should therefore be defined with specific reference to the instrument/reagent combination used locally [9].

One ‘spiking method’ involves testing samples containing known quantities of UFH diluted into normal pool plasma, as then tested by APTT and anti-FXa methods, allowing an estimation of the APTT therapeutic interval [1]. However, variations in certain components of patient plasma, as well as the non-physiologically processed nature of the UFH used, can impact on the interpretation of data obtained using this method. A better method involves ex vivo assessment of plasma obtained from patients on UFH therapy, with these tested for both APTT and anti-FXa, and then to establish a UFH therapeutic range for APTT that matches the therapeutic range for anti-FXa (e.g. 0.3–0.7 U/mL). It is important to recognize that individual response to UFH according to APTT is affected by many influences, including (but not limited to): antithrombin level; high or low levels of coagulation factors and proteins such as von Willebrand factor or proteins released from endothelial cells or platelets, competing with antithrombin for heparin binding; or increased FVIII levels in acute phase response; or reduction in FXII; or presence of LA (etc).

To obtain a cleaner data set to establish UFH therapeutic ranges, the following steps can be undertaken during sample collection and processing [1].
• Ensure baseline PT, APTT and INR testing prior to commencement of UFH are within their NRIs.
• Exclude underfilled samples, samples with visible hemolysis or likely platelet activation and release of heparin neutralizer platelet factor 4 (PF4).
• Exclude samples containing LMWH or other anticoagulants (e.g. VKAs, DOACs).
• Adhere to manufacturer guidelines with regards to the window from time of blood collection to testing.
• Double centrifuge samples when freezing them for batch testing (to remove residual platelets, which release PF4 and phospholipids on thawing).
• Accumulate data over a suitable time period to account for day-to-day test result variability.
• Aim for 30 or more data points.
• Appropriately dilute samples with anti-Xa activity above the test’s linearity limit.
• Remove data points reflecting ‘gross’ outliers.

LA sensitivity
The LA sensitivity of a particular APTT reagent can be assessed by comparing APTT tests of samples containing LA, for example by comparison of mean clotting times for each reagent.
Given that the APTT is a phospholipid-dependent assay, the test may be susceptible to prolongation in the presence of LA. However, differences in the phospholipid type and concentration between APTT reagents account for wide variation seen in the degree of prolongation of APTT, including due to LA. The LA sensitivity of the APTT reagent also has bearing on the use of APTT to monitor UFH and must inform the establishment of an algorithm to further investigate unexpectedly prolonged APTTs.
In one empirical method, initial testing using an LA sensitive method (e.g. dilute Russell viper venom time; dRVVT) is initially used to formulate a set of LA-positive samples of various ‘strengths’. Different APTT reagents can then be used to test the samples and the data for each sample can be plotted again the upper reference limit of the APTT for each reagent [1]. The ratio of clotting time of each LA-positive sample (of varying strengths) to the mean normal APTT derived from normal plasma samples is calculated. The median of these ratios allows different reagents to be ranked according to LA sensitivity. It can then become clear which APTT reagents are most (versus least) sensitive to LA. These can then be differentially selected according to the laboratory desire. For example, a laboratory may prefer to select an APTT reagent that is relatively LA ‘insensitive’, as combined with good factor VIII/IX/XI and UFH sensitivity if there is a desire to use a general purpose APTT screening reagent (i.e. hospital laboratory monitoring UFH, but wishing to avoid LA detection in asymptomatic patients). Alternatively, a laboratory may select an LA sensitive and an insensitive APTT reagent pair if they wish to assess for LA in symptomatic (thrombosis and/or pregnancy morbidity) patients.

Conclusion
Interpretation of a normal or a prolonged APTT must take into account both clinical context, including presence of anticoagulant therapy, as well as the methods and reagents used by the laboratory. The sensitivity of a particular APTT reagent to detect UFH therapy, LA and factor deficiencies has significant bearing on diagnostic assessment and therapy monitoring, and thus reflects essential knowledge for laboratory and clinical staff alike.

Figure 1. The activated partial thromboplastin time (APTT) assay measures the clot time to formation of fibrin via the contact factor pathway and is dependent on contact factors (FXII and above), and then FXI, FIX, FVIII, FX, FV, and FII. The APTT is also affected by vitamin K antagonists (VKAs; ‘W’), but more importantly is used to monitor unfractionated heparin (UFH; ‘H’) therapy and also to assess for potential hemophilia (FVIII, FIX or FXI deficiency). The APTT is also sensitive to the presence of other anticoagulants, including direct oral anticoagulants (DOACs) such as dabigatran (‘D’) and rivaroxaban (‘R’), and potentially also apixaban (‘A’) for some reagents. The APTT may also be utilized as part of a panel of tests to help assess for lupus anticoagulant (LA). (Modified from Favaloro EJ, et al. How to optimize activated partial thromboplastin time (APTT) testing: solutions to establishing and verifying normal reference intervals and assessing APTT reagents for sensitivity to heparin, lupus anticoagulant, and clotting factors. Semin Thromb Hemost 2019; 45: 22–35 [1].)
Figure 2. An algorithm that provides one recommended approach for the follow-up of an abnormal APTT. Always exclude an anticoagulant effect first – there is no point investigating a prolonged APTT associated with anticoagulant use. Then consider the patient’s history, or the clinical reason for the test order, both of which assist in terms of follow-up approach. APTT, activated partial thromboplastin time; FBC/CBC, full blood count (UK/Australia)/complete blood count (USA); DIC, disseminated intravascular coagulation; DOAC, direct oral anticoagulant; EDTA, ethylenediaminetetraacetic acid; F, factor; LA, lupus anticoagulant; PT, prothrombin time. (Modified from Favaloro EJ, et al. How to optimize activated partial thromboplastin time (APTT) testing: solutions to establishing and verifying normal reference intervals and assessing APTT reagents for sensitivity to heparin, lupus anticoagulant, and clotting factors. Semin Thromb Hemost 2019; 45: 22–35 [1].)
Table 1. The APTT test. A multipurpose and sensitive assay, but not specific for any individual parameter. List is not meant to be all inclusive.
DOACs, direct oral anticoagulants; VWD, von Willebrand disease.
*PT should also be prolonged if APTT is prolonged in the indicated setting.
(Modified from Favaloro EJ, et al. How to optimize activated partial thromboplastin time (APTT) testing: solutions to establishing and verifying normal reference intervals and assessing APTT reagents for sensitivity to heparin, lupus anticoagulant, and clotting factors. Semin Thromb Hemost 2019; 45: 22–35 [1].)

Figure 3. Historical data from our laboratory to illustrate the process of deriving a normal reference interval (NRI) for the APTT, and using nearly 80 normal individual plasma samples. (a) APTT of all samples tested shown as a dot plot; one clear outlier shown as a red asterisk. (b) Data cleaned of outliers [i.e. in this case the single red asterisk sample in (a)]. (c) NRR estimate as mean ± 2 standard deviations (SDs) to provide approximate 95 % coverage. Bar graphs of parametric data processing and log transformed data processing shown. The NRI for this data set approximates 27–38 sec. (Modified from Favaloro EJ, et al. How to optimize activated partial thromboplastin time (APTT) testing: solutions to establishing and verifying normal reference intervals and assessing APTT reagents for sensitivity to heparin, lupus anticoagulant, and clotting factors. Semin Thromb Hemost 2019; 45: 22–35 [1].)
Figure 4. Ex vivo heparin versus APTT evaluation. (a) Samples from all patients identified to be on heparin (as identified by our laboratory information system) and for which an APTT was performed at the time of evaluation are also tested for anti-FXa level. The APTT therapeutic range is that corresponding to a heparin level of 0.3–0.7 U/mL by anti-Xa. However, many data points in this figure do not reflect UFH alone. Some points may instead reflect low molecular weight heparin (e.g. likely to be the sample yielding an anti-Xa value close to 0.7 U/mL but with normal APTT) or alternatively UFH co-incident to FXII deficiency or LA, or else patients potentially transitioning from UFH to VKAs. These data points can be removed to yield a ‘cleaner’ data set, as shown in (b). (Modified from Favaloro EJ, et al. How to optimize activated partial thromboplastin time (APTT) testing: solutions to establishing and verifying normal reference intervals and assessing APTT reagents for sensitivity to heparin, lupus anticoagulant, and clotting factors. Semin Thromb Hemost 2019; 45: 22–35 [1].)

Disclaimer: The views expressed in this paper are those of the authors, and are not necessarily those of NSW Health Pathology.

References
1. Favaloro EJ, Kershaw G, Mohammed S, Lippi G. How to optimize activated partial thromboplastin time (APTT) testing: solutions to establishing and verifying normal reference intervals and assessing APTT reagents for sensitivity to heparin, lupus anticoagulant, and clotting factors. Semin Thromb Hemost 2019; 45: 22–35.
2. Kershaw G. Performance of activated partial thromboplastin time (APTT): determining reagent sensitivity to factor deficiencies, heparin, and lupus anticoagulants. Methods Mol Biol 2017; 1646: 75–83.
3. Defining, establishing, and verifying reference intervals in the clinical laboratory; proposed guideline—third edition. CLSI document C28–P3. Clinical and Laboratory Standards Institute (CLSI) 2008.
4. One-Stage Prothrombin time (PT) test and activated partial thromboplastin time (APTT) test; approved guideline—second edition. CLSI document H47-A2. CLSI 2008.
5. Favaloro EJ, McCaughan GJ, Mohammed S, Pasalic L. Anticoagulation therapy in Australia. Ann Blood 2018; 3: 48.
6. Lippi G, Mattiuzzi C, Adcock D, Favaloro EJ. Oral anticoagulants around the world: an updated state-of the art analysis. Ann Blood 2018; 3: 49.
7. Favaloro EJ, Lippi G. Recent advances in mainstream hemostasis diagnostics and coagulation testing. Semin Thromb Hemost. 2019; 45(3): 228–246.
8. Baluwala I, Favaloro EJ, Pasalic L. Therapeutic monitoring of unfractionated heparin – trials and tribulations. Expert Rev Hematol 2017; 10(7): 595–605.
9. Marlar RA, Clement B, Gausman J. Activated partial thromboplastin time monitoring of unfractionated heparin therapy: issues and recommendations. Semin Thromb Hemost 2017; 43(3): 253–260.
The authors
Julianne Falconer1 MBBS and Emmanuel J. Favaloro*1,2 PhD, FFSc (RCPA)
1Haematology, Institute of Clinical Pathology and Medical Research (ICPMR), NSW Health Pathology, Westmead Hospital, NSW, Australia.
2Sydney Centres for Thrombosis and Hemostasis, Westmead Hospital

*Corresponding author
E-mail: Emmanuel.Favaloro@health.nsw.gov.au

C377 Padovani Figure 1

Novel strategies for clinical coagulation diagnostics and therapy monitoring

Clinical coagulation assays are an important part of anticoagulation measurements and monitoring. Despite the rise of new promising technologies, traditional coagulation assays were largely unchanged in the last decades. Here we discuss the application of microfluidics and nanotechnology to clinical coagulation diagnostics and anticoagulation therapy monitoring.

by Dr Francesco Padovani and Prof. Martin Hegner

Introduction
Fast, accurate and reliable determination of multiple coagulation parameters is crucial for a correct diagnosis of blood coagulation disorders. The two most common coagulation assays performed regularly in hospital environments are prothrombin time (PT) and activated partial thromboplastin time (aPTT). These two assays measure the time required for the onset of fibrinogen proteolysis that is followed by the formation of a fibrin network [1]. The measurement is usually performed by increased impedance or turbidity. Upon determination of an abnormal coagulation time, further testing is required (e.g. one-stage clotting assays or chromogenic substrate assays). Despite their extreme usefulness, these assays are not factor specific and they are sensitive only if the factor activity is below 50 %. Additionally, fibrinolysis, crosslinking, clot strength or initial blood plasma viscosity (important mechanical parameters that relate to coagulation) are not measured, and finally they do not evaluate or monitor acute bleeding or thrombosis risk. These drawbacks demand for the development/standardization of novel strategies that can improve the clinical diagnosis process. Global hemostasis assays such as thromboelastography (TEG), thrombin generation, and overall hemostasis potential are promising technologies that, despite being around for decades, are not routinely used by hematologists. These assays are based on bench-top devices and require dedicated clinical laboratories and qualified personnel. Novel strategies based on microfluidics and nanotechnology may enable point-of-care testing (with potential for self-testing), self-monitoring and a great reduction in sample volume needed [2].

Anticoagulation monitoring and measurement
Accurate, reliable and frequent measurement and monitoring of anticoagulant therapies such as warfarin or heparin is vital to their effectiveness. When control is poor, patients experience more complications such as joint pain, bleeding and strokes [3]. The gold standards used for assessing the level of anticoagulation control are the percent time in therapeutic range (TTR) and international normalized ratio (INR). Both of these assays rely on standardization of the patient’s PT against an international standard. TTR is usually calculated with the method by Rosendaal that employs linear interpolation to assign an INR value to each day between successive observed INR values [4]. Therefore, patients who undergo an anticoagulation therapy have to frequently assess coagulation parameters. Systematic reviews showed that self-testing and self-management are an effective and safe intervention [5]. Self-testing devices should be of simple use, provide fast and analytically accurate results, and they should require minimal amount of sample. Ideally, they should also be portable.
Novel strategies exploiting microfluidics and nanotechnology
Novel approaches that employ microfluidics and nanotechnology have been developed in recent years. The main advantages of these techniques are high sensitivity and a great potential for miniaturization and point-of-care testing. Some studies proposed the use of quartz crystal microbalance (QCM) to measure the viscoelastic properties of blood plasma clot formation [6–9]. QCM consists of a quartz crystal resonator whose resonant frequency is dependent on the mass adsorbed onto the sensor and on the viscoelastic properties of the fluid surrounding the resonator. These studies showed superior performances to conventional TEG and required relatively small sample volumes. However, deconvolution of unspecific protein adsorption and liquid viscoelastic properties are very complex, hindering the potential to accurately measure clot strength development during coagulation. Other studies employed surface plasmon resonance (SPR) detection. SPR is a popular technology in the field of biomarker detection. A polarized light beam hits a glass/liquid interface causing an electromagnetic field exiting the glass. If a thin metal film is applied between the glass and the liquid surface plasmons are excited. The reflected light is collected by a sensor and upon receptor/target recognition the reflectivity curve shifts [10]. Extrapolation of viscoelastic parameters is not feasible. To the best of our knowledge, only PT time was measured using this technology [11]. Our laboratory exploited nanomechanical resonators to quantify coagulation parameters. The resonators are arrays of microcantilevers (beams clamped at one end) that oscillate at high speed. When immersed in a fluid, the viscosity and density can be measured in real time by tracking quality factor and resonant frequency of the oscillation [12]. By combining microfluidics technology, ensuring uniform mixing of coagulation reagents, with a high degree of automation and accurate extrapolation of the results, nanoresonators demonstrated great ability to measure clinically relevant coagulation parameters [13]. Along with PT and aPTT, other parameters are measured within the same test run, such as initial plasma viscosity, clot strength (final viscosity), initial and final coagulation rates. For example, patients with severe hemophilia showed a low initial plasma viscosity, low clot strength (bleeding), and low coagulation rates. By mixing hemophiliac patients’ plasma with 30 % of normal control the coagulation rates and the clot strength were improved, but not completely restored indicating the degree of severity (Fig. 1). To detect deficiencies of specific factors, an immunoassay can be integrated in situ allowing for diagnosis of factor deficiency within a single test run. Furthermore, the diagnostic array can be reused repeatably by regeneration in a cleaning solution [13]. The same microcantilever technology was applied to measure fibrinolysis in real time. It is well known that impaired function of the fibrinolytic system increases the risk of thrombosis [14]. By pre-mixing a patient’s blood plasma with tissue plasminogen activator and performing a PT (or aPTT) assay, the PT (or aPTT) and the following induced fibrinolysis can be measured. Parameters such as starting clot strength, final dissolved clot strength and 50 % lysis time (Fig. 2) provide useful information for assessing the patient’s thrombotic risk. Finally, anticoagulation treatment (heparin) was measured with low and high concentration of heparin mixed with normal control plasma (Fig. 3). Potentially, a patient under anticoagulation treatment could self-monitor their status and self-manage their therapy according to the results. For example, the final clot strength could indicate bleeding risk and the therapy can be adjusted to suit the particular needs of the specific patient (personalized medicine). All these measurements were performed with a low sample volume (<20 µl) and a high degree of automation (reducing operator intervention and complexity).

Summary
Anticoagulation measurement and monitoring employs assays that have gone largely unchanged for decades. The rise of new technologies such as microfluidics and nanotechnology carry great potential for integration with standard clinical assays. Global hemostasis assays could pave the way for an improvement in the current clinical coagulation diagnostics. Miniaturization, personalized medicine, point-of-care testing, automation, self-testing and self-monitoring are all interesting approaches that could overcome current drawbacks of gold standards in coagulation measurements. However, all these strategies require more standardization and more clinical studies to assess and exploit their potential.

Figure 1. Representation of the suspended microresonators oscillating at high speeds (approx. 300 kHz) and microfluidics set-up. Clot strength (viscosity) curves over time for normal control samples, mild hemophilia and severe hemophilia patients’ plasma during activated partial thromboplastin time (aPTT) assays performed with nanoresonators. The array of sensors is first immersed in human blood plasma (green area) and then, at time 0 s, coagulation is triggered with the specific reagents (orange area). Final clot strength, coagulation rates and aPTT values are dependent on the degree of severity. (Padovani F, Duffy J, Hegner M. Nanomechanical clinical coagulation diagnostics and monitoring of therapies. Nanoscale 2017; 9(45): 17939–17947 [13] – Reproduced by permission of The Royal Society of Chemistry.)
Figure 2. Clot strength developing over time for tissue plasminogen activator (tPA) assisted fibrinolysis. Normal control plasma was mixed with a 350 ng/ml tPA solution. After the measurement of the plasma viscosity, the coagulation is triggered at time 0 s with PT reagents. As soon as the coagulation is triggered, the clot strength increases, but at the same time the activity of tPA starts to lyse the fibrin network. After approx. 32 min, the clot is completely dissolved and the final strength is lower than the starting plasma viscosity. This difference is due to the fibrin breakage into soft fibrin particles that have no viscosity. Some of the parameters that can be extracted are PT (see zoom plot), starting clot strength (C+B), final dissolved clot strength (C), and time (50 % Ly) required to reach half-clot strength (50 % B). (Padovani F, Duffy J, Hegner M. Nanomechanical clinical coagulation diagnostics and monitoring of therapies. Nanoscale 2017; 9(45): 17939–17947 [13] – Reproduced by permission of The Royal Society of Chemistry.)
Figure 3. Effects of heparin on the clot strength development during an aPTT test. After measurement of plasma viscosity, coagulation is triggered at time 0 s with aPTT reagents. Higher concentrations of heparin cause a more prolonged aPTT but the final clot strength is always in the normal range. (Padovani F, Duffy J, Hegner M. Nanomechanical clinical coagulation diagnostics and monitoring of therapies. Nanoscale 2017; 9(45): 17939–17947 [13] – Reproduced by permission of The Royal Society of Chemistry.)

References
1. McPherson RA, Pincus MR. Henry’s clinical diagnosis and management by laboratory methods, 23rd edn (E-book). Elsevier Health Sciences 2017.
2. Al-Samkari H, Croteau SE. Shifting landscape of hemophilia therapy: implications for current clinical laboratory coagulation assays. Am J Hematol 2018; 93(8): 1082–1090.
3. Connolly S, Pogue J, Eikelboom J, Flaker G, Commerford P, Franzosi MG, Healey JS, Yusuf S; ACTIVE W Investigators. Benefit of oral anticoagulant over antiplatelet therapy in AF depends on the quality of the INR control achieved as measured by time in therapeutic range. Circulation 2008; 118: 2029–2037.
4. Razouki Z, Burgess JF Jr, Ozonoff A, Zhao S, Berlowitz D, Rose AJ. Improving anticoagulation measurement: novel warfarin composite measure. Circ Cardiovasc Qual Outcomes 2015; 8(6): 600–607.
5. Heneghan C, Ward A, Perera R, Self-Monitoring Trialist Collaboration, Bankhead C, Fuller A, Stevens R, Bradford K, Tyndel S, Alonso-Coello P, et al. Self-monitoring of oral anticoagulation: systematic review and meta-analysis of individual patient data. Lancet 2012; 379(9813): 322–334.
6. Lakshmanan RS, Efremov V, O’Donnell JS, Killard AJ. Measurement of the viscoelastic properties of blood plasma clot formation in response to tissue factor concentration-dependent activation. Anal Bioanal Chem 2016; 408(24): 6581–6588.
7. Lakshmanan RS, Efremov V, Cullen S, Byrne B, Killard AJ. Monitoring the effects of fibrinogen concentration on blood coagulation using quartz crystal microbalance (QCM) and its comparison with thromboelastography. SPIE Microtechnologies 2013, Genoble, France. Conference paper in Proc SPIE 8765, Bio-MEMS and Medical Microdevices 2013.
8. Bandey HL, Cernosek RW, Lee WE 3rd, Ondrovic LE. Blood rheological characterization using the thickness-shear mode resonator. Biosens Bioelectron 2004; 19(12): 1657–1665.
9. Hussain M. Prothrombin time (PT) for human plasma on QCM-D platform: a better alternative to ‘gold standard’. UK J Pharm Biosci 2015; 3(6): 1–8 (DOI: http://dx.doi.org/10.20510/ukjpb/3/i6/87830).
10. Hansson KM, Tengvall P, Lundström I, Rånby M, Lindahl TL. Surface plasmon resonance and free oscillation rheometry in combination: a useful approach for studies on haemostasis and interactions between whole blood and artificial surfaces. Biosens Bioelectron 2002; 17(9): 747–759.
11. Hansson KM, Vikinge TP, Rånby M, Tengvall P, Lundström I, Johansen K, Lindahl TL. Surface plasmon resonance (SPR) analysis of coagulation in whole blood with application in prothrombin time assay. Biosens Bioelectron 1999; 14(8–9): 671–682.
12. Padovani F, Duffy J, Hegner M. Microrheological coagulation assay exploiting micromechanical resonators. Anal Chem 2016; 89(1): 751–758.
13. Padovani F, Duffy J, Hegner M. Nanomechanical clinical coagulation diagnostics and monitoring of therapies. Nanoscale 2017; 9(45): 17939–17947.
14. Meltzer ME, Doggen CJ, de Groot PG, Rosendaal FR, Lisman T. The impact of the fibrinolytic system on the risk of venous and arterial thrombosis. Semin Thromb Hemost 2009; 35(05): 468–477.

The authors
Francesco Padovani PhD and Martin Hegner*PhD
Centre for Research on Adaptive Nanostructures and Nanodevices (CRANN), School of Physics, Trinity College Dublin, Dublin, Ireland

*Corresponding author
E-mail: hegnerm@tcd.ie

C379 Berry Table 1 cropped resized

Aqueous humour biomarkers for retinoblastoma, a pediatric ocular malignancy

For decades, attempts to biopsy or obtain fluid from eyes with retinoblastoma had been contraindicated, however recent changes in the management of retinoblastoma have allowed for safe sampling of the aqueous humour (AH) during therapy. Use of the AH as a liquid biopsy enables tumour biomarker analysis in these eyes; this has potential to dramatically alter the management of this pediatric cancer.

by Dr Benjamin K. Ghiam, Dr Liya Xu and Dr Jesse L. Berry

Introduction
Retinoblastoma (Rb) is the most common intraocular cancer in children, comprising 4 % of all pediatric malignancies [1, 2]. This potentially fatal malignancy often goes undiagnosed until the tumour is advanced and has damaged intraocular structures. Survival rates for Rb are in excess of 90 % in developed countries, though a critical, and often challenging, focus of Rb therapy is globe and vision preservation [3]. Throughout decades of ocular medicine and surgery, any attempt to biopsy these tumours, or even obtain fluid from Rb eyes had been fervently contraindicated for risk of tumour seeding and dissemination. Thus, much of the diagnosis and management of Rb is dependent on information gathered by the ophthalmologist through careful eye examination, and without histopathologic evidence.
In 2012, Munier et al. described a safety-enhanced protocol for intravitreal chemotherapy injections in the eyes of patients with Rb; this protocol requires an initial paracentesis [4]. As described by the authors of the study, a volume of 0.1  ml of aqueous fluid is aspirated to induce transient hypotony before the intravitreal injection as a safety measure to prevent reflux to the injection site. This protocol for intravitreal injection of chemotherapy has now been widely adopted worldwide and the risk of extraocular spread is considered extremely low (zero reported cases with the safety-enhanced procedure) [5]. This demonstrated safety record paved the way for aqueous humour (AH) extraction in eyes with Rb undergoing active therapy.
AH is the clear intraocular fluid produced by the ciliary processes that fills the front part of the eye (anterior chamber). The AH functions to maintain intraocular pressure, provide nutrients to the cornea, and remove waste products. It has also been shown to be a rich source of information for intraocular disease, including Rb [6]. Researchers have long sought to evaluate AH for the presence of biomarkers which may correlate with features of intraocular disease and provide diagnostic and prognostic value. However, before 2017, any evaluation of the AH was only done on eyes after enucleation. Now that the AH can be safely extracted during therapy, we hypothesized that previous evaluations of AH biomarkers (post-enucleation) may now be clinically applicable for the diagnosis, prognosis and/or management of Rb. This article excerpts our recently published systematic review, titled “Aqueous Humor Biomarkers for Retinoblastoma, a review” in the journal Translational Vision Science and Technology [7].
Lactate dehydrogenase
Lactate dehydrogenase (LDH) is an enzyme found in nearly all cells that acts as a regulator of metabolism; it has been used clinically as a non-specific marker found within body fluids in various pathological conditions, including malignant tumours.
In the early 1970s, Dias et al. examined LDH levels in the AH from enucleated Rb eyes [8]. Early reports demonstrated a significant increase in the levels of LDH within the AH of enucleated eyes with Rb when compared to patients without Rb, such that levels >1000  U/L strongly support the diagnosis of Rb (Table 1). Multiple studies on LDH levels in the AH from enucleated eyes were done between the years 1971 and 2008 which found that LDH levels were significantly elevated compared to controls, and more elevated in advanced eyes with delayed diagnosis; however, these levels did not correlate with other clinical features or outcomes. Elevation in AH LDH have been described in patients with other ocular conditions, including primary open angle glaucoma and Coats’ disease. Although LDH was the first described marker of tumour activity in the AH, the lack of specificity and correlation with patient or tumour features limits its use clinically. Owing to this lack of correlation this research was previously abandoned.
Enolase/neuron-specific enolase
Neuron-specific enolase (NSE) is an isoenzyme of the glycolytic enzyme enolase; it is highly specific for neurons and peripheral neuroendocrine cells. Increased body fluid levels of NSE occur with malignant proliferation and thus have been of value in the diagnosis and characterization of neuroendocrine tumours, including small cell lung cancer and retinoblastoma [9].
Evaluation of the isoenzyme patterns of enolase in the AH of enucleated Rb eyes demonstrated that NSE levels were elevated in AH Rb, whereas enolase was not detectable in the AH from controls (Table 1) [10–12]. Elevated levels of NSE significantly correlated with inflammation and tumour invasion into the anterior chamber [13]. NSE levels did not correlate with histological tumour parameters (tumour necrosis, calcification, optic nerve/choroidal invasion) as well as clinicopathological parameters (sex, enucleation age, presentation age, family history, previous treatment, and metastatic disease). Moreover, NSE levels were found to be within the control range in children more than 5 years after active therapy [14]. This suggests that NSE may be used clinically to indicate remission status. Although obtaining serial AH NSE measurements may have a significant role in determining tumour status in Rb patients in the future, additional evidence is required to further substantiate the use of this tumour marker clinically.
Surviving and transforming growth factor beta-1
Survivin is a protein that inhibits apoptosis. It has garnered significant interest as a diagnostic and prognostic factor in human neoplasms, including Rb. Elevated survivin levels are found in many human neoplasms, and it is used as a prognostic factor in several human neoplasms, including lung and colorectal cancers [15, 16]
Survivin expression in the AH from enucleated eyes of children with Rb was found to be significantly elevated, when compared to patients with non-malignant ophthalmic disease, such as congenital cataracts and glaucoma [17, 18]. AH survivin levels correlated with tumour stage and histopathologic post laminar optic nerve involvement.
Transforming growth factor beta-1 (TGF-β1) expression in the AH of enucleated Rb eyes was associated with poor differentiation of the tumour [17]. The authors demonstrated high sensitivity and specificity of these AH proteins which makes them promising markers for Rb, particularly of more aggressive pathologic features.

Uric acid and xanthine
During cell turnover, nucleic acids and nucleotides are degraded into xanthine and uric acid. Elevated levels of serum uric acid have been associated with many malignancies, as well as after rapid destruction such as after treatment with chemotherapy or radiation.
Elevated concentrations of uric acid and xanthines were found in the AH of children with Rb compared with control eyes (Table 1) [19]. Elevated levels of xanthine and uric acid in AH may support the diagnosis of Rb in children suspected of having the disease, however further studies are necessary to establish optimal cut-offs, explore clinicopathological correlations, and compare Rb levels to lesions simulating Rb (Coats’ disease and persistent fetal vasculature).
Protein content
Normally, the AH is virtually protein-free to ensure a clear optical media between the cornea and the lens. An increase in globulin content and an albumin/globulin ratio < 1 has been found in enucleated eyes with Rb [20]. Concentrations of interleukin (IL)-6, IL-7, IL-8, interferon gamma (IFN-γ), placental growth factor 1 (PlGF-1), vascular endothelial growth factor A (VEGF-A), beta-nerve growth factor (β-NGF), hepatocyte growth factor (HGF), epidermal growth factor (EGF) and fibroblast growth factor 2 (FGF-2) were significantly higher in the AH of patients with Rb than those in the control group [21]. Additionally, significantly decreased protein concentration was demonstrated in Rb eyes following treatment with selective intra-arterial chemotherapy (melphalan injection in the ophthalmic artery) that were subsequently enucleated after attempts at salvage, compared to primarily enucleated eyes [22].

Nucleic acids
Recent studies from Berry et al. demonstrated the presence of tumour-derived nucleic acids (DNA, RNA, miRNA) in the AH of Rb eyes [23]. Because of this, the authors suggest that the AH may be a rich source of tumour DNA and, thus, could be used as a liquid biopsy in children with Rb, without undergoing enucleation. A subsequent analysis by Berry et al. in 2018 showed that evaluation of the cell-free DNA (cfDNA) in the AH for chromosomal alterations has potential prognostic value as in indicator of aggressive disease [24]. Specifically, there was a significant increased odds of an eye failing therapy and requiring enucleation due to persistent and/or progressive cancer activity if gain of chromosome 6p was found in the AH cfDNA. Further research is required before this can be applied clinically, however this holds potential as a prognostic biomarker for Rb.

Conclusion
Despite significant investigation into tumour biomarkers for Rb spanning more than four decades, currently there are no active uses for the AH in a clinical setting. Diagnosis is made on the basis of examination and ancillary imaging findings without a biopsy, and molecular tumour markers are presently not used for diagnosis, prognosis, or to monitor therapeutic response. This is due in large part to the contraindication to biopsy in Rb; therefore, previously neither tumour nor AH or other ocular fluids were evaluated outside of specimens from enucleated eyes; clearly this limited the ability to correlate these markers with meaningful clinical outcomes. However, with recent advances in local therapy for Rb, paracentesis with extraction of the AH has now been shown to be safe in eyes being actively treated. This opens the door to for an AH liquid biopsy and thus there is renewed interest in these potential disease biomarkers.

Acknowledgement
This article excerpts our recently published systematic review, titled “Aqueous Humor Biomarkers for Retinoblastoma, a review” in the journal Translational Vision Science and Technology [7].
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The authors
Benjamin K. Ghiam1 MD, Liya Xu2 PhD, Jesse L. Berry, MD*3,4 MD
1Oakland University, William Beaumont School of Medicine, Rochester, MI, USA
2Department of Biological Sciences, Dornsife College of Letters, Arts, and Sciences, University of Southern California, Los Angeles, CA, USA
3The Vision Center at Children’s Hospital Los Angeles, Los Angeles, CA, USA
4USC Roski Eye Institute, Keck School of Medicine of USC, University of Southern California (USC), Los Angeles, CA, USA

*Corresponding author
E-mail: Jesse.Berry@med.usc.edu

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