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Towards early diagnosis of AD

Alzheimer’s disease (AD), a progressive and eventually fatal neurodegenerative condition, was first described over a century ago. The prevalence of the disease has greatly increased since then: indeed the World Health Organization estimates that around 36 million people are living with dementia, the majority of whom are suffering from AD. This number is expected to double by 2030 and triple by 2050, mostly due to increased human longevity: the incidence of AD increases exponentially after the age of 65, with nearly 50% of people over 85 affected. Very early diagnosis and timely and effective therapy are urgently needed if health and social services are not to be totally overwhelmed catering for the needs of both patients and their frequently elderly carers.
Changes in the brains of AD patients may commence up to two decades before clinical symptoms become apparent. The two major abnormalities, beta-amyloid plaques (Aβ) and neurofibrillary tangles (NFT), are very visible at autopsy and continued improvements in medical imaging technologies may allow eventual visualization in the brains of living patients. A definitive diagnosis of AD, though, is usually still based on neuropsychological testing and MRI and/or CT scans to rule out other causes of cognitive decline at a stage of the disease when the drugs currently available, which regulate neurotransmitters, are no longer very effective.
Ongoing research to allow earlier diagnosis has found that gradually increasing concentrations of both Aβ and NFT can be detected in the cerebrospinal fluid of AD patients. And two very recently published studies give additional cause for optimism. The first, published in Nature Genetics, was a large international study that scanned the DNA from more than 74,000 AD patients and healthy controls from 15 different countries to find novel genetic risk factors. As well as the genes already implicated in the disease, such as APOE4, which is strongly linked to late-onset AD, eleven new genes were discovered that had previously not been linked to the condition. This work could facilitate very early diagnosis in individuals at risk. And a smaller British Medical Research Council study discovered a compound that actually prevents further neurodegeneration in animal models.
It has been recognized, however, that an international approach would be most effective in reducing the impact of AD and other types of dementia. To this end health ministers from the G8 countries will be meeting in London in December to develop a coordinated plan of action. It is to be hoped that the result of their deliberations will be global cooperation between companies, researchers and clinicians, and ultimately timely diagnosis and therapy for this appalling condition.

p8 1

TDM of levetiracetam and pregabalin: the need and the method

Therapeutic drug monitoring of anti-epileptic drugs has greatly advanced since the development of colorimetric assays for the measurement of phenytoin and phenobarbital in the mid-1950s. Today, not only have laboratory technology and assay development advanced, but so have the pharmaceutical agents available for the treatment of epilepsy disorders. However, under UK National Institute for Health and Clinical Excellence (NICE) Guidelines, therapeutic drug monitoring is still justified for newer anti-epileptic drugs like levetiracetam and pregabalin, for which we have developed quick and robust LC-MS/MS assays.

by Jonathan C. Clayton, Katherine Birch and Carrie A. Chadwick

Background
Therapeutic drug monitoring (TDM) is an important consideration in the treatment of epilepsy. It has long been known that a dose of a given drug may be effective in one patient but not in another [1]. This is of particular importance when too high a concentration of drug can have toxic effects, and too low a concentration has no therapeutic effect. Problems arise when, in different patients, a specific dosage leads to a therapeutically significant concentration in one, but could be ineffective or even toxic in another. Understanding the relationship between dosage and the concentration of the active drug at receptor sites has long been a topic for research [2], which has led to the development of assays to measure the plasma concentration of anti-epileptic drugs (AEDs). TDM of AEDs has advanced since colorimetric assays for phenytoin and phenobarbital were developed in the mid-1950s [3]. Older AEDs such as phenytoin and valproate have narrow therapeutic ranges (the plasma drug concentration range below which the drug may be ineffective and above which the patient may experience toxic effects). However, even the plasma concentration at which a given drug is effective may vary from individual to individual, depending on a number of factors known as pharmacokinetics [4]. Many newer AEDs, such as lamotrigine and topiramate do not have the narrow therapeutic range as seen with the older AEDs, however, TDM is still applicable [5]. Today both older AEDs such as phenytoin, phenobarbital and sodium valproate as well as newer AEDs such as lamotrigine and topiramate are subject to TDM [4]. This has led to the development of new assays for monitoring the serum concentration of these drugs. Methods include immunoassays such as enzyme multiplied immunoassay technique (EMIT) and cloned enzyme donor immunoassay (CEDIA), kinetic interaction of microparticles (KIMS) and chemiluminescent assays (CLIA) [6]. However, more liquid chromatography-tandem mass spectrometry (LC-MS/MS) assays are being developed for newer AEDs, which can detect a number of AEDs in a single assay [7].
Best Practice Guidelines for TDM published in 2008 [1], along with a review discussing TDM of the newer AEDs [8] have provided a rationale for developing methods for two second generation AEDs, levetiracetam and pregabalin. These drugs are becoming increasingly popular with levetiracetam being used as an adjunct for partial and generalized tonic–clonic seizures, and pregabalin used as an adjunct for partial seizures [9]. Pregabalin, and to a lesser extent levetiracetam, is also used in the treatment of non-epileptic disorders such as neuropathic pain [9]. The increasing popularity of these drugs with clinicians has led to an increasing demand for determination of plasma concentrations of these drugs. TDM is justified for determining compliance with treatment with either drug, but also for determining overdosing, and dosing in renal failure, of levetiracetam.

Here, we describe methods for the detection and quantification of levetiracetam or pregabalin in serum using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The methodology is identical for both levetiracetam and pregabalin and so, should demand for TDM of these drugs increase in the future, there is scope for them to be combined into one assay.

Materials and methods
Levetiracetam (1 mg/mL in MeOH) and pregabalin (1 mg/mL in MeOH) stock solutions, levetiracetam-D6 (100 µg/mL in MeOH) and pregabalin-D6 (100 µg/mL in MeOH) were purchased from Cerilliant (distributed by LGC Standards, Middlesex, UK). EQA materials used for accuracy assessment were kindly supplied by the LGC Heathcontrol EQA scheme. HPLC grade water and methanol were purchased from Sigma-Aldrich Ltd (Poole, Dorset, UK). All other chemicals were purchased from Sigma-Aldrich Ltd or VWR Ltd. ClinChek® Control Levels 1 and 2 were purchased from RECIPE (Munich, Germany).

Standards
Standard solutions were made by preparing serial dilutions of stock solution in PBS/BSA (phosphate buffered saline containing 0.5% bovine serum albumin) (137 mmol/L NaCl, 2.7 mmol/L KCl, 5.4 mmol/L Na2HPO4•7H2O, 1.8 mmol/L KH2PO4, 0.5% BSA). The standards were stored at –20°C until use.

Internal standards
Each internal standard was prepared to a final concentration of 10 mg/L in HPLC grade methanol containing 50 mmol/L ZnSO4∙7H2O. The internal standards were stored at room temperature until use.

Sample preparation
For assay purposes, standards, quality control (QC) and serum samples were prepared in an identical fashion. In a 96-well plate, 80 μL internal standard solution (in ZnSO4 in MeOH) are added to 20 μL sample followed by agitation and centrifugation. Eighty microlitres of H2O was then added to each well, the plate heat sealed, agitated and centrifuged.

Chromatography and mass spectrometry

Chromatography was performed on a Waters Acquity UPLC system equipped with a Waters Acquity UPLC BEH C18 1.7 μm 2.1 x 50 mm column. Mobile phase A consisted of 10 mmol/L ammonium acetate and mobile phase B consisted of MeOH.
A flow rate of 0.5 mL/min was maintained for the run time of 2.5 minutes. A linear gradient of mobile phase B from 2% to 50% was run between 0 and 1 minutes, followed by a constant concentration of 50% mobile phase B. Ninety-eight per cent mobile phase B was run from 1.75 to 2.5 minutes. The injection volume was 5 μL.
Mass spectrometric determination was carried out using a Waters TQD in ESI+ mode. The source temperature was 130 °C, desolvation temperature was 400 °C, cone gas flow was 50 L/hr and the desolvation gas flow was 800 L/hr. Targetlynx™ software was used to process the data and quantify the drugs in the standards, controls and patient samples.

Method validation
Validation of the assays was carried out according to Honour [10]. Precision and bias were determined by measuring QC samples over 5 batches with 5 samples in each batch. The coefficients of variance (CVs) were calculated for intra-batch and inter-batch precision. Bias was calculated from the nominal target values for each of the QC materials.
Accuracy was assessed using EQA materials from the LGC Heathcontrol AE1 Anti-epileptic drug EQA scheme.
Matrix effects were determined by running a water blank, extracted water and extracted drug-free serum against a background infusion of each drug.
The limit of blank (LOB) was determined by running 10 extracted water samples and was quantified as the highest concentration measured in the absence of analyte.
The lower limit of quantitation (LLOQ) was determined by spiking drug-free serum with known quantities of each drug, and was quantified as the lowest detectable concentration whose CV was <15% and bias <20%.
Specificity was determined by spiking PBS/BSA with high concentrations of six more commonly used AEDs (carbamazepine, carbamazepine epoxide, phenobarbital, phenytoin, primidone and sodium valproate.
Carry-over was determined by spiking drug-free serum with high concentrations of each drug, and analysing followed by drug-free serum.

Results
Chromatography and mass spectrometry
Levetiracetam and levetiracetam-D6 had a retention time of 0.88 minutes and the cycle time from injection to injection was 3 minutes. Pregabalin and pregabalin-D6 had a retention time of 0.82 minutes and the cycle time from injection to injection was 3 minutes. The chromatography profile is identical for both of the drugs. The profile produced clean, sharp peaks with no co-eluting elements. The quantification transition for levetiracetam was m/z 170.90>69.16 and the confirmation transition was m/z 170.90>98.17. For pregabalin, the quantification transition was m/z 159.90>55.12 and the confirmation transition was m/z 159.90>83.08. For the internal standards, levetiracetam-D6 had the transition m/z 177.00>132.00 and pregabalin-D6 had the transition m/z 166.10>102.90.

Method validation
The intra- and inter-assay CVs are <8% for both drugs suggesting good precision of the assay. The inter- and intra-assay bias for levetiracetam was acceptable at <6%, while for pregabalin the inter- and intra-assay bias was <10% apart from the inter-assay bias at 10 mg/L (Table 1). External quality assessment materials were analysed as per patient samples. The results (Table 2) were compared with the target value supplied by LGC Heathcontrol, and with the returns of other laboratories using similar methods (LC-MS and LC-MS/MS) in order to determine the accuracy of the assay. Matrix effects were investigated using injections of drug-free serum, extracted water and blank water against a constant background infusion of each drug in methanol (50 mg/L levetiracetam, 25 mg/L pregabalin). No matrix effects are seen around the relevant retention times for either drug (Fig. 1). The LOB was quantified as the highest apparent analyte concentration in the absence of analyte. The LLOQ was quantified as the lowest level of analyte detectable whose CV was <15% and whose bias was <20% (Table 3). The methods for both levetiracetam and pregabalin showed no interference from any other commonly prescribed AEDs, with responses of ‘0’ to the interference samples from both methods. Blank serum samples and extracted water samples run immediately after samples containing either ~200 mg/L levetiracetam or 100 mg/L pregabalin gave responses of ‘0’, indicating no problems with carry-over. Discussion
We have developed and validated LC-MS/MS assays for the quantification of levetiracetam and pregabalin in serum.
Two optimal transitions were identified for both drugs, thus providing a ‘quantifier’ transition and a ‘confirmation’ transition in order to increase confidence of identification owing to the risk of misidentification of analytes with the same molecular weights as the drugs of interest.
The chromatography method is identical for both levetiracetam and pregabalin, and with the two drugs having different retention times (0.88 and 0.82 minutes respectively), should there ever be a wish to combine these assays into one single run, this should be straightforward. Additionally, should assays for any other AEDs be developed, this chromatography method would be an appropriate starting point. Serum proteins are precipitated by the addition of ZnSO4 in methanol, which also aids the retained solubility of the drug. Following centrifugation, an equal volume of H2O is added so the drug is in 50 : 50 methanol/water. Following a further centrifugation, 5 µl of supernatant is injected onto the column. The method is quick and robust. The assay has acceptable precision and bias. All the EQA materials ran well within their acceptable ranges, close to the target value.
Other LC-MS/MS methods for the detection of levetiracetam [11, 12] and pregabalin [13] have been described, all of which have longer cycle times between injections, larger sample volume requirements, and, in some cases, have more complex sample preparation. The method described here benefits from being quick, with a simple sample preparation procedure.
Methods for the measurement of levetiracetam in saliva have been described [11] and it has been shown that there is good correlation between saliva, plasma and serum, meaning saliva would be a suitable alternative to serum [14]. To date, no such method has been described for pregabalin, but cases of pregabalin toxicity have been described which would advocate the development of further methods for the TDM of pregabalin [14].
The monitoring of levetiracetam and pregabalin is justified [1, 5] to monitor compliance and overdosing, and quick and robust methods for their measurement in serum have been described here. Further work could include development of assays for the measurement of these drugs in saliva, with comparison studies required.

References

1. Patsalos PN, Berry DJ, Bourgeois BF, Cloyd JC, Glauser TA, et al. Antiepileptic drugs—best practice guidelines for therapeutic drug monitoring: a position paper by the subcommission of therapeutic drug monitoring, ILAE Commission on Therapeutic Strategies. Epilepsia 2008; 49: 1239–1276.
2. Eadie MJ. Therapeutic drug monitoring—antiepileptic drugs. Br J Clin Pharmacol. 1998; 46: 185–193.
3. Theodore WH. Rational use of antiepileptic drug levels. Pharmac Ther. 1992; 54: 297–305.
4. Glauser TA, Pippenger CE. Controversies in blood-level monitoring: reexamining its role in the treatment of epilepsy. Epilepsia 2000; 41(Suppl. 8): S6–S15.
5. National Institute for Health and Clinical Excellence. The epilepsies: the diagnosis and management of the epilepsies in adults and children in primary and secondary care. Clinical guidelines 137. NICE 2012; http://guidance.nice.org.uk/CG137 (accessed 15 October 2013).
6. Aldaz A, Ferriols R, Aumente D, Calvo MV, Farre MR, et al. Pharmacokinetic monitoring of antiepileptic drugs. Farm Hosp. 2011; 35: 326–329.
7. Shibata M, Hashi S, Nakanishi H, Masuda S, Katsura T, Yano I. Detection of 22 antiepileptic drugs by ultra-performance liquid chromatography coupled with tandem mass spectrometry applicable to routine therapeutic drug monitoring. Biomed Chromatogr. 2012; 26: 1519–1528.
8. Krasowski MD. Therapeutic drug monitoring of the newer anti-epilepsy medications. Pharmaceuticals 2010; 3: 1909–1935.
9. Wahab, A. Difficulties in treatment and management of epilepsy and challenges in new drug development. Pharmaceuticals 2010; 3: 2090–2110.
10. Honour JW. Development and validation of a quantitative assay based on tandem mass spectrometry. Ann Clin Biochem. 2011; 48: 97–111.
11. Guo T, Oswald LM, Mendu DR, Soldin SJ. Determination of levetiracetam in human plasma/serum/saliva by liquid chromatography-electrospray tandem mass spectrometry. Clin Chim Acta 2007; 375: 115–118.
12. Blonk MI, van der Nagel BC, Smit LS, Mathot RA. Quantification of levetiracetam in plasma of neonates by ultra performance liquid chromatography-tandem mass spectrometry. J Chromatogr B. 2010; 878: 675–681.
13 Nirogi R, Kandikere V, Mudigonda K, Komarneni P, Aleti R. Liquid chromatography atmospheric pressure chemical ionization tandem mass spectrometry method for the quantification of pregabalin in human plasma. J Chromatogr B. 2009; 877: 3899–3906.
14. Patsalos PN, Berry DJ. Therapeutic drug monitoring of antiepileptic drugs by use of saliva. Ther Drug Monit. 2013; 35: 4–29.

The authors
Jonathan Clayton* MPhil, MSc; Katherine Birch DipRCPath; and Carrie Chadwick FRCPath
The Buxton Laboratories, The Walton Centre NHS Foundation Trust, Liverpool, UK

*Corresponding author
E-mail: Jonathan.clayton@nhs.net

p12 05

Therapeutic drug monitoring of methadone

Methadone maintenance therapy is central to the treatment of opiate dependence. Assessment of adherence is essential to ensure success and to prevent misuse of prescribed medications. A variety of specimen types can be tested for methadone and its main metabolite using a number of different analytical methods. The benefits and limitation associated with each are discussed.

by Dr Elizabeth Fox and Dr Deepak Chandrajay

Introduction
Opiate dependence is an important problem worldwide. In the UK, individuals seeking help with their addiction are referred to substance misuse services where they are usually offered methadone or buprenorphine substitution therapy [1]. Methadone is a synthetic opioid with pharmacological actions similar to opiates mediated through the mu receptor. Treatment is initiated at a dose of 10–40 mg daily and gradually increased by 10–20 mg weekly. The usual maintenance dose is 60–120 mg daily, but some clients require a higher dose for symptomatic relief [2]. Its long half-life allows for a once-daily dosing schedule and the accumulation in the body means that steady-state plasma concentrations are easily achieved after repeated administration.
Methadone reduces or eliminates withdrawal symptoms and helps the subject reach a drug-free state in a controlled way. There is evidence of reduced illicit opiate misuse, criminal activity and mortality when patients are on maintenance therapy [2, 3]. Injecting behaviours and incidence of HIV infection are also reduced [4].
Methadone is a lipid soluble drug with an oral bioavailability of approximately 95%. It is metabolized by cytochrome P-450 (CYP) enzymes and demethylated to 2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine (EDDP). Both parent drug and metabolite are excreted in the urine and can also be detected in blood, oral fluid, sweat and hair. Co-administration of CYP enzyme inducing drugs such as rifampicin, phenytoin, and zidovudine can precipitate opiate withdrawal symptoms. Fluoxetine and fluvoxamine can inhibit CYP enzymes and have an opposite effect on methadone metabolism [5].
In contrast to most other forms of therapeutic drug monitoring where blood concentration is maintained within a narrow therapeutic window, methadone is monitored almost exclusively to confirm adherence with the treatment regimen. The client may seek to falsify the drug test to feign adherence when the drug is actually being sold to others, or simply to mask illicit drug use. Such individuals will submit a specimen spiked with methadone mixture, therefore effective methods for methadone testing should use matrices which are resistant to tampering and/or include measures to detect falsified samples. Absence of EDDP from a methadone-positive urine sample strongly suggests that it has been spiked with medication. Measurement of urine creatinine will identify samples which have been diluted or substituted, for example with tea. Methadone mixture is green so a green tinge to urine should raise suspicions of sample spiking. The temperature and pH of fresh urine specimens can be recorded to assess reliability. Salivary IgG is useful to confirm integrity of oral fluid specimens.

Analytical methods used for methadone testing
The key analytical methods used to measure methadone and EDDP are immunoassay, liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) and gas chromatography coupled to mass spectrometry (GC-MS). The benefits and limitations of each are summarized in Table 1. Immunoassay is rapid, high throughput when automated and low cost. Sensitivity is determined by the detection cut-off concentration of the test kit and specificity by the specific antibody used in the kit. Point-of-care test (POCT) kits are available for use with urine and oral fluid in the clinic and require little expertise or training. POCT offers the significant advantage of producing instant results that can be discussed during the consultation. Laboratory-based immunoassays can be run on multichannel clinical chemistry analysers and do not require additional staff training. All immunoassay-based techniques are prone to interference from unrelated compounds due to cross-reaction with the specific antibody. Cross reactivity data are available from the manufacturer and should be borne in mind when interpreting results. False-positive methadone results have been documented with diphenhydramine, doxylamine and phenothiazines [6]. Immunoassay-based tests, whether designed for POCT or laboratory use, are sold as screening tests. The manufacturers recommend the confirmation of positive results using an alternative methodology such as LC-MS/MS or GC-MS. That said, not all laboratories and substance misuse clinics routinely confirm methadone and EDDP positive results. UK Department of Health guidance on adherence testing recommends only that positive screen tests are confirmed ‘if appropriate’[1].

Mass spectrometric techniques offer the best possible sensitivity and specificity and are considered the ‘gold standard’. Test menus are user-defined which allows simultaneous detection of methadone and EDDP and any other drug as required. Disadvantages of these techniques are that they require expensive specialist instrumentation, labour intensive sample preparation, and complex data interpretation. Turnaround times can be lengthy and they are not amenable to POCT. LC-MS/MS methods require considerably less sample preparation than GC-MS and are now used in many clinical laboratories. A few labs including our own have adopted LC-MS/MS for first-line drug screening of urine and oral fluid specimens.

Specimen types for methadone testing
The main sample types are summarized in Table 2.

Urine
Regular urine testing is the most commonly used means of confirming adherence with methadone prescription. The advantages of urine are that both methadone and EDDP are readily detected and collection is easy and non-invasive. Presence of EDDP provides proof that methadone has been ingested and not spiked into the sample. A disadvantage of urine is that it is easy to manipulate. A sample of donor urine, if the donor is taking methadone, submitted in place of the patient’s own is difficult to recognize. Supervised collection is not always desirable as it is an invasion of privacy and subjects may suffer from ‘shy bladder’. The concentrations of methadone and EDDP do not correlate well with dose (because of the variability of untimed urine samples), so qualitative urine analysis is only suitable for confirming use.

Commercially available methadone and EDDP immunoassays typically have a fixed cut-off or detection threshold of between 100 and 300 µg/L. Multidrug panel tests usually include either methadone or EDDP. Choosing a test which specifically detects EDDP will minimize the chance that a spiked urine is passed off as positive. An estimated 4% of methadone-positive samples submitted to our laboratory lack detectable EDDP; a methadone-only assay would not identify these specimens (unpublished observation). Our approach to urine testing is to measure both methadone and EDDP by LC-MS/MS in all samples. The testing strategy in an increasing number of substance misuse clinics is to use POCT as a first-line test, then to refer suspicious or disputed samples to the lab for confirmation. A laboratory immunoassay would offer no further information for samples that have already been tested at the point of care and could theoretically suffer the same interference.

Oral fluid
An alternative matrix for methadone testing is oral fluid. The advantage of oral fluid is that collection is simple, easily observable and can be done in the consultation room. POCT devices are available for instant results or samples can be sent for laboratory analysis. Both immunoassay and mass spectrometric analytical methods are available. The amount of methadone and EDDP present in oral fluid is dependent upon salivary pH. Methadone is a basic drug and under acidic conditions it becomes ionized and ‘trapped’ in the saliva. Unstimulated saliva is more acidic than stimulated saliva so false negatives can be avoided by asking the subject to abstain from eating, drinking or chewing for 10 minutes prior to collection. A recent study involving subjects on daily methadone doses found that the concentration of methadone in saliva correlated poorly with dose and that EDDP was below detection in 12% of samples [7]. However, methadone was readily detectable in all samples suggesting that oral fluid is a useful specimen for confirming adherence. Oral fluid methadone does not reflect the plasma concentration so would not be useful for assessing dose adequacy. Contamination with methadone from the oral cavity is a problem and absence of EDDP, if measured, should be interpreted with caution as it does not necessarily equate to sample adulteration.

Blood
The main advantage of using blood to monitor methadone therapy is that it’s virtually impossible to falsify the sample. Plasma concentration correlates with methadone dose but the concentrations at which therapeutic effect is achieved have not been well defined. Several studies have suggested target concentrations; other studies have found no correlation between plasma concentration and either heroin use or opiate withdrawal symptoms [8]. A further study suggested that the pharmacodynamics of methadone can be altered by the presence of other drugs therefore altering the relationship between plasma methadone and effect [9]. There is debate in the literature as to whether plasma concentration is any more useful than daily dose for predicting response to treatment [10]. Given the polypharmacy present in the majority of subjects receiving methadone, routine use of plasma methadone to titrate dose is likely to need further evaluation. Intravenous drug users tend to have poor venous access so collecting samples may be challenging. Methods using dried blood-spot samples to circumvent this problem have been described but skin contamination with methadone is likely to be an issue [11]. Blood is not the ideal specimen to assess use of other substances because of the very short detection window, so additional testing may be required. In conclusion, blood testing is best reserved for difficult cases where knowledge of the plasma concentration may be helpful.

Other matrices
Monitoring of methadone therapy using sweat analysis has been evaluated. Patches are typically worn for up to 7 days then dispatched to the laboratory for analysis. They are tamper-evident and claim to be difficult to adulterate. Large inter- and intra-individual variations in sweat methadone concentration have been observed and there is only a weak correlation between patch concentration and dose. Sweat testing is, however, useful for detecting exposure to other substances so may be applicable to some cases. Hair analysis can be used to retrospectively confirm adherence with methadone treatment but is not useful for real-time assessment.

Concluding remarks
The current trend is for substance misuse services to perform methadone adherence testing in the clinic and refer samples to the laboratory for confirmation where necessary. Substance misuse clinic personnel are not laboratory scientists, therefore a key role of the laboratory that performs confirmatory testing is to develop a good working relationship and ensure all aspects of testing are fully understood.

References
1. Department of Health (England) and the devolved administrations. Drug Misuse and Dependence: UK Guidelines on Clinical Management. London: Department of Health (England), the Scottish Government, Welsh Assembly Government and Northern Ireland Executive. 2007; www.nta.nhs.uk/uploads/clinical_guidelines_2007.pdf.
2. National Institute for Health and Clinical Excellence. Methadone and buprenorphine for the management of opioid dependence. Technology appraisal guidance 114. NICE 2007; http://guidance.nice.org.uk/TA114.
3. Advisory Council on the Misuse of Drugs. Reducing drug-related deaths: a report by the Advisory Council on the Misuse of Drugs. ACMD, Home Office 2000; ISBN 0-11-341239-8.
4. NTORS, The National Treatment Outcome Research study. 2001; http://webarchive.nationalarchives.gov.uk/+/www.dh.gov.uk/en/publicationsandstatistics/publications/publicationspolicyandguidance/dh_4084908.
5. McCance-Katz EF, Sullivan L and Nallani S. Drug interactions of clinical importance among the opioids, methadone and buprenorphine and other frequently prescribed medications: a review. Am J Addict. 2010; 19(1): 4–16.
6. Lancelin F, Kraoul L, Flatischler N, Brovedani-Rousset S, Piketty ML. False-positive results in the detection of methadone in urines of patients treated with psychotropic substances. Clin Chem. 2005; 51(11): 2176–2177.
7. Gray TR, Dams R, Choo RE, Jones HE, Heustis MA. Methadone disposition in oral fluid during pharmacotherapy for opioid-dependence. Forensic Sci Int. 2011; 206 (1–3): 98–102.
8. Shiu JR, Ensom MHH. Dosing and monitoring of methadone in pregnancy: literature review. Can J Hosp Pharm. 2012; 65(5): 380–386.
9. Kharasch ED, Walker A, Whittington D, Hoffer C, Sheffels Beynek P. Methadone metabolism and clearance are induced by nelfinavir despite inhibition of cytochrome P4503A (CYP3A) activity. Drug Alcohol Depend. 2009; 101(3): 158–168.
10. Hallinan R, Ray J, Byrne A, Agho K, Attia J. Therapeutic thresholds in methadone maintenance treatment: a receiver operating characteristic analysis. Drug Alcohol Depend. 2006; 81(2): 129–136.
11. Saracino MA, Marcheselli C, Somaini L, Pieri MC, Gerra G, et al. A novel test using dried blood spots for the chromatographic assay of methadone. Anal Bioanal Chem. 2012; 404(2): 503–511.

The authors
Liz Fox* PhD, FRCPath and Deepak Chandrajay MBBS, MRCP
Specialist Laboratory Medicine, St James’s University Hospital, Leeds, UK
*Corresponding author
E-mail: Elizabeth.fox@leedsth.nhs.uk

C110 Tosh Allergies thermatic dreamstime m 25541631

The challenge of food allergies

The threat of allergies, which affect about one in five people in the US and Europe is emerging as a major public health challenge. The problem is also fast becoming severe in the developing world.

Very much an enigma
In spite of these trends, the World Allergy Organisation (WAO) notes that “services for patients with allergic diseases are fragmented and far from ideal,” and that this is true even in the developed world. The key reason is that allergies still remain little understood.
In Europe, for example, the EU Commission acknowledges that the epidemiology of allergies remains “very much an enigma.” In spite of “relatively homogeneous lifestyles” across the region, allergy rates vary from 3.7% among 13-14 year olds in Greece to 32.2% for the same age group in the United Kingdom.

Children hit hardest

As hinted by the EU Commission figures above, the impact of allergies is especially pronounced in a vulnerable demographic, namely children.
Indeed, the Florence, Italy-based European Academy of Allergy and Clinical Immunology (EAACI) reports that “the number of children with allergies has doubled in the last ten years, and visits to A&E have increased seven-fold.” The situation is no different in the US, where a recent study by the Centers for Disease Control and Prevention (CDC) finds allergy to be among the most common medical conditions affecting children aged below 17.
The allergy challenge has been confounded by the fact that its origins now include a bewildering (and growing) range of food products. In Europe, the InformAll Database (developed with funding from the European Union) currently contains information about the “more than 120 foods” reported to be associated with allergy.
The burden of this, once again, is disproportionately high on children. Globally, an estimated 220 to 250 million people could be suffering from food allergy, according to the WAO.
In Britain, the respected National Institute for Clinical Excellence (NICE) zeroes down on food allergy as being “among the most common of the allergic disorders” and “a major pediatric health problem” because of “the potential severity of reactions and a dramatic increase in prevalence over the past recent decades.”

Food allergies a specific challenge
Though the CDC study mentioned above found the biggest challenge for US children to be respiratory allergies, their share – at 17% – has remained constant since the late 1990s. The fastest growth, on the other hand, was shown with skin allergies, up from 7.4% in 1997–1999 to 12.5% in 2009–2011.
In contrast, the prevalence of food allergies in US children is not only smaller than either respiratory or skin allergies, but also showed a slower increase than the latter, from 3.4% to 5.1%.
However, the US figures conceal more than they reveal.
Firstly, managing (or even) identifying food allergies is not straightforward. Unlike respiratory allergies (which have a long-established intervention modus), or skin allergies (which are easier to pinpoint), the diagnosis of food allergies is far more problematic. This is because “nonallergic food reactions, such as food intolerance, are frequently confused” with food allergies.

The allergy continuum
Making things worse is the allergy continuum.
According to a review of two million patient visits in the US (the largest ever of its kind), food allergies in childhood are instrumental in the so-called ‘allergy march’, a medical condition by which there is an escalation in the risk “for the development of additional and more severe allergy-related conditions, including asthma, later in life.”
In other words, tackling food allergies effectively may hold the key to reducing the burden of other allergies in later life.

Profiling allergies: differences between children and adults
Food allergies in children are most commonly caused by eggs, milk, peanuts, tree nuts and wheat; in adults, milk and wheat are excluded as typical allergens, and instead replaced by fish and shellfish.
However, the EU Commission’s observation about the ‘enigma’ of allergies applies to food too. “In continental Europe, the most common food allergies are to fresh fruit and vegetables, whilst in Anglo-Saxon countries hazelnuts, peanuts and walnuts are the most problematic. Allergy to fish and shellfish prevails in Scandinavia and Northern Europe.”

Tracking the severity of allergies
An allergic reaction to food usually occurs quite quickly (in some cases, within minutes of eating a particular food, and in others, 2-3 hours afterwards). Typical symptoms include an abnormal swelling of the tongue, diarrhea, and hives.
In severe cases, the reaction (as with other allergies) is anaphylaxis, which can be life-threatening.
A study by Mayo Clinic covering a period of 10 years (1990 to 2000) found an age-specific rate for anaphylaxis highest in the under-19 year population (at 70 per 100,000 person-years, compared to an overall age- and sex-adjusted rate of just under 50). The Mayo clinic study also found that ingested foods accounted for one-third of all cases (33.2%), significantly ahead of the second- and third-ranked causes: insect stings with 18.5% and medication with 13.7%.
As troubling is the growth in the incidence of anaphylaxis, again in children. Hospital data from New York State shows that hospitalization for anaphylaxis among patients younger than 20 increased more than 4-fold between 1990 and 2006.

Growing costs
The economic impact of food allergy is significant. In the US, children’s food allergies are estimated to cost as much as $24.8 billion per year.
It is also growing. In the UK, hospitalization for food allergies has increased by as much as 500% since 1990.

Food allergies cannot be cured, but they can be managed by dietary control – in other words through avoidance of allergen-inducing foods. However, there is sometimes little room for a learning curve. In certain people, even tiny amounts of a food allergen (for example, 1/44,000 of a peanut kernel) can prompt an allergic reaction.
Currently, aside from avoidance, the standard of care for food allergies remains “ready access to self-injectable epinephrine.”
Both the US National Institutes of Health (NIH) and Britain’s NICE have drawn up recommendations for the diagnosis and management of food allergy. At the European level, the European Academy of Allergy and Clinical Immunology (EAACI) published its first guidelines on the subject in summer 2013.

An ‘allergy epidemic’: the institutional response
However, the challenge of food allergies is likely to continue.
One key gap is an institutional network of qualified specialists, which link in seamlessly into the wider public health system. In 2006, a subcommittee at Britain’s House of Lords concluded that allergy services were insufficient to deal with it and described the growing incidence of allergic conditions as an ‘allergy epidemic’. Their recommendations urged setting up “at least one allergy centre, led by a full time allergy specialist” in each Strategic Health Authority, supported by “a chest physician, dermatologist, ENT specialist, clinical immunologist, gastroenterologist, occupational health practitioner and pediatrician,” and assisted by “specialist nurses and dieticians trained in allergy.”

The House of Lords subcommittee also strongly called for “diagnostic facilities necessary to investigate complex allergies” staffed by personnel who have received “accredited allergy training.”  In other words, such a system will only be meaningful if laboratories are harnessed to address the exploding allergy challenge, and provided with sufficient funds for equipment and staff. Until such time, the response will mean little more than using best practices guidelines (from bodies such as the NIH, NICE and the EAACI) to streamline what essentially remains an ad-hoc infrastructure.

The need for support by clinical labs is implicit in the NICE guidelines on food allergies, which stress that “skin prick tests and blood tests are equally cost-effective” and that “blood tests are cost-effective independent of number of individuals tested.” On the other hand, the guidelines also highlight the need for “valid test results” “to reduce incidence of adverse reactions and improve quality of life,” and prevent the (yet unquantified cost of) anxiety and worry, as well as the “avoidance of food that is actually safe to eat.”

The future: no cures in sight, yet
As of now, there is no cure for food allergies.
A seemingly-promising Phase II, randomized, double-blind study on the anti-asthmatic omalizumab against peanut allergy (one of the most dangerous food allergies) was stopped in 2011, with most subjects not reaching the endpoints. The investigators concluded that “no firm conclusions can be drawn” from their effort, but said it deserved “further investigation.”
The omalizumab research actually reached the same deadlock as another similar anti-IgE preparation, HU-9015, in 2003. This study was, ironically, stopped after its sponsors found the prospects for omalizumab to be more promising.
Nevertheless, researchers continue with their efforts, especially with regard to peanut allergy. As of this date, according to a communication from the National Institutes of Health, 14 studies and trials on peanut hypersensitivity alone are recruiting volunteers, one more than for asthma.

C118 Wen Figure 1 update

Molecular diagnosis for eosinophilic esophagitis: a next-generation technique with pathogenic insight

Eosinophilic esophagitis (EoE) is a clinical disorder induced by food allergy with its current diagnosis based on histological examination of esophageal biopsies and clinical symptoms. A next-generation molecular diagnostic panel based on a 96-gene qPCR array was recently introduced for a definitive and objective diagnosis of EoE and demonstrated high diagnostic merit relative to the current method.  This test provides insight into the pathological processes of EoE in a cost effective manner and will likely bring a personalized medicine approach to the field of esophagitis.

by Dr Ting Wen and Professor Marc E. Rothenberg

Eosinophilic esophagitis and current form of diagnosis
The tide of technical advances in the new century has sparked a molecular revolution in the fields of clinical diagnostics and predictive medicine, and is crucial for the provision of personalized medicine. Thus far, molecular diagnosis of diseases has been largely confined to cancer, autoimmunity and genetic disorders, while areas such as gastrointestinal (GI) disorders and allergic inflammation have been underexplored.

Eosinophilic esophagitis (EoE) is a type of immunological food allergy mediated by allergic hyper-responses to food, typically the six most common food allergens (milk, egg, wheat, soy, nuts, fish). Dietary elimination and steroidal intervention are two of the most effective therapies, and are often used together. At the cellular level, the inflammation is a well concerted process caused by local lymphocytes (primarily Th2 cells), mast cells and eosinophils within the esophagus that likely contributes to most of the clinical symptoms. Clinically, EoE is characterized by esophageal dysfunction (e.g. dysphagia) and is historically defined by a tissue biopsy exhibiting ≥15 eosinophils per high-power field (EOS/HPF), a cut-off agreed by a panel of field experts based on case discussions 5 years ago and referred to as the consensus recommendation (CR) 2007 [1, 2]. Both histological and clinical symptoms are necessary for diagnosis [ideally with proton pump inhibitor (PPI) trial confirmation] and form the basis of CR2007. Thus far, histological examination is the only widely accepted EoE diagnostic test [2]. However, this method is subjective, time-consuming and subject to variability (patchy sampling and inter-pathologist variability), as well as expensive. In addition, it is non-specific to a certain extent, as there are a number of other diseases sharing esophageal eosinophilia [3], and therefore the histological method cannot identify specific exposure to medications (such as glucocorticoid) nor differentiate patients in remission from EoE from non-EoE patients (neither exhibit  eosinophilia). Therefore, the current ‘gold standard’ method has limitations and its results may be questionable. [4].

EoE transcriptome, qPCR array and algorithm development
The EoE transcriptome was identified by Blanchard et al. in 2006 [5] and subsequent studies identified ~1000 genes that were bi-directionally dysregulated at different magnitudes; thus serving as the foundation for molecular differentiation. We adopted a low density array in which four identical custom arrays are embedded on a 384-well fluidic card (Fig. 1),  which allows cost-efficient Taqman-based PCR to be performed on potentially informative genes that are part of the EoE transcriptome. With this design, a maximum of 95 genes (plus one housekeeping control) can be assayed to map molecular pathogenic signatures and four samples can be processed in a given batch thus improving the turn-around time. During a recent study  that involved a large cohort of 194 unique samples and used the qPCR-based array described above (termed the EoE diagnostic panel, or EDP), the test performed at nearly 100% accuracy in terms of revealing the bi-directional EoE signature, at much lower cost and with faster turn-around (same-day) compared with the standard microscopic analysis [6]. Notably, the EDP is  designed to work with both fresh tissue and formalin-fixed, paraffin-embedded (FFPE) samples, with major steps involving RNA isolation, reverse transcription, qPCR amplification, raw data rendering, a dual algorithm application and diagnostic report generation (Fig. 1) (Table 1).

The test is highly reproducible between batches and samples, as results from samples tested months apart still correlated well because of the accuracy and specificity of Taqman qPCR. Having generated the raw cycle threshold (Ct) values of qPCR, the critical next step was to develop a method of interpreting the results in a way that every physician and patient was able to comprehend. One of the unique features of the EDP is the novel dual algorithm associated with the panel, which provides additional assurance. Briefly, the first algorithm is a clustering analysis based on the Pearson correlation of 77 genes followed by dimensionality reduction. With 50 upregulated genes and 27 downregulated genes, the bi-directional dysregulation provides a pronounced contrast for signature recognition. A dendrogram (hierarchical tree) is then derived from the inter-sample distance metrics aided by commercial analysis softwares such as GeneSpring (Agilent Inc.). The first branch of the dendrogram serves as a diagnostic bifurcation point. The second algorithm performed in parallel is essentially a mathematical summing-up of the change in Ct value for each gene relative to the housekeeping gene (GADPH) and takes into account the bi-directional changes (+ and – vectors). The end read-out of this algorithm is an absolute integer that provides a definitive EoE diagnosis and which correlates linearly with disease severity. This direct output allows the physician to readily assess the disease status and potential therapy. These types of dual algorithms are not mathematically challenging, so it is expected that the same algorithm may be expanded for broader  use in the diagnosis of other inflammatory diseases, especially those with a diagnostic ‘grey zone’ or other clinical dilemma.

Data management, FFPE compatibility and commercialization potential
Compared to other more advanced gene-expression platforms, the Taqman qPCR array-based EDP has the advantage of cost effectiveness, minimal data size and straightforward experimental analysis. Basically, the raw Ct data are exported from the qPCR machine (ABI 7900HT) in text (.txt) or Excel format (typically in seconds), and are then further processed by software such as GeneSpring or simply by formula calculation in Excel. The goal is to generate an ‘EoE score’ and a clustered heat diagram leading to definitive diagnosis and disease evaluation on the basis of patient specific profiles of the 95-gene signature, therefore enabling a form of personalized medicine.

Of note, the EDP offers good compatibility with FFPE samples, as shown by a sub-study with 45 randomly selected FFPE samples, reaching 96% sensitivity and 100% specificity using histology as the ‘gold standard’. While FFPE RNA is known to be susceptible to considerable degradation with time (also shown in this study by Agilent QC assay), the EDP signature acquisition does not seem to be compromised over the reported archiving duration of 3 years. One can only imagine how many clinical questions could be answered using vast archived pools of FFPE samples and the associated amount of clinical outcome information.

With the simple qPCR-based procedures and the easily accessible computational algorithm, as well as the demonstrated clinical utility, the commercialization potential of the EDP is promising. The future use of the EDP in clinical practice is not reliant on complicated techniques, advanced hardware, professional expertise or significant start-up funds. Together with the rapid turn-around time and minimal demands on lab personnel, the initial barrier for adoption of the EDP in practice is low. It is also worth mentioning that such novel qPCR arrays combined with novel scoring algorithms could be readily applied to the diagnosis of other allergic inflammatory diseases with minimal modifications.

Conclusions and future expectations
Given the growing interest in “next-gen” molecular techniques, there seems to be ample justification for the development of this novel diagnostic method. Compared to the classic histology-based EoE diagnosis, there are several aspects that the molecular method is uniquely capable of providing. First, the molecular panel is able to distinguish remission patients despite normal histology, which is clinically important and not achievable using standard histology. The EDP is essentially based on reading gene expression in 96 channels (96-D), providing multi-dimensional pathogenic clues and personalized medical information compared with histology and other reported immunohistochemistry (IHC)-based approaches. Recently, a 4-protein panel was reported as having high diagnostic merit [7]. Although having a greater variety of diagnostic methods for EoE is beneficial, the lengthy IHC workload, subjective interpretation and insufficient pathogenic resolution make the molecular method advantageous. Preliminary results also suggest that the EDP can be used to predict the likelihood of EoE relapse prospectively, indicating a predictive medicine component of this technique. The EDP also provides a means to assess steroid exposure based on steroid responding gene elements, which could be used to evaluate patient compliance. Finally, regarding sensitivity and specificity, there is currently no option but to continue to use histology as the ‘gold standard’, because it is not yet clear which method more objectively reflects the disease status. Further research is needed to clarify this, especially in the light of the debatable specificity of histology [3, 4]. Although the EDP doesn’t provide all the answers, for example there is no predictive component for identifying which type of treatment will be more successful (diet versus steroid) and the sample source is still deemed invasive, it nevertheless represents a substantial advance. The conventional method has its merits, namely directly visualizing infiltrating eosinophils (for which EoE was named) and cellular topology, and will continue to be used in parallel. However, the advantages of the new platform are likely to be appreciated by researchers and physicians in an era where disease definition and pathogenic understanding are increasingly at the molecular level.

References
1. Furuta GT, Liacouras CA, Collins MH, Gupta SK, et al. Eosinophilic esophagitis in children and adults: a systematic review and consensus recommendations for diagnosis and treatment. Gastroenterology 2007; 133(4): 1342–1363.
2. Liacouras CA, Furuta GT, Hirano I, Atkins D, et al. Eosinophilic esophagitis: updated consensus recommendations for children and adults. J Allergy Clin Immunol. 2011; 128(1): 3–20 e6; quiz 21–22.
3. Dellon ES, Gonsalves N, Hirano I, Furuta GT, et al. ACG clinical guideline: Evidenced based approach to the diagnosis and management of esophageal eosinophilia and eosinophilic esophagitis (EoE). Am J Gastroenterol. 2013; 108(5): 679–692; quiz 693.
4. Rodrigo S, Abboud G, Oh D, DeMeester SR, et al. High intraepithelial eosinophil counts in esophageal squamous epithelium are not specific for eosinophilic esophagitis in adults. Am J Gastroenterol. 2008; 103(2): 435–442.
5. Blanchard C, Wang N, Stringer KF, Mishra A, et al. Eotaxin-3 and a uniquely conserved gene-expression profile in eosinophilic esophagitis. J Clin Invest. 2006 116(2): 536–547.
6. Wen T, Stucke EM, Grotjan TM, Kemme KA, et al. Molecular diagnosis of eosinophilic esophagitis by gene expression profiling. Gastroenterology 2013; doi:10.1053/j.gastro.2013.08.046.
7. Dellon ES, Chen X, Miller CR, Woosley JT, Shaheen NJ. Diagnostic utility of major basic protein, eotaxin-3, and leukotriene enzyme staining in eosinophilic esophagitis. Am J Gastroenterol. 2012 107(10): 1503–1511.

The authors
Ting Wen PhD and Marc Rothenberg* MD, PhD
Division of Allergy and Immunology, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
*Corresponding author
E-mail: Rothenberg@cchmc.org