<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="other" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.12775.2</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Note</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                    <subj-group>
                        <subject>Immunomodulation</subject>
                    </subj-group>
                    <subj-group>
                        <subject>Methods for Diagnostic &amp; Therapeutic Studies</subject>
                    </subj-group>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Evaluation of electrochemiluminescence immunoassays for immunosuppressive drugs on the Roche cobas e411 analyzer</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: 2 approved, 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no" equal-contrib="yes">
                    <name>
                        <surname>Fung</surname>
                        <given-names>Angela W.S.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-3537-8623</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no" equal-contrib="yes">
                    <name>
                        <surname>Knauer</surname>
                        <given-names>Michael J.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2240-4730</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Blasutig</surname>
                        <given-names>Ivan M.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Colantonio</surname>
                        <given-names>David A.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Kulasingam</surname>
                        <given-names>Vathany</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-5610-873X</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, M5S 1A8, Canada</aff>
                <aff id="a2">
                    <label>2</label>Department of Pathology and Laboratory Medicine, St. Paul&#x2019;s Hospital, Vancouver, BC, V6Z 1Y6, Canada</aff>
                <aff id="a3">
                    <label>3</label>Lifelabs Medical Laboratories, Toronto, ON, M9W 6J6, Canada</aff>
                <aff id="a4">
                    <label>4</label>Division of Biochemistry, Children&#x2019;s Hospital of Eastern Ontario, Ottawa, ON, K1H 8L1, Canada</aff>
                <aff id="a5">
                    <label>5</label>Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, M5G 1X8, Canada</aff>
                <aff id="a6">
                    <label>6</label>Department of Clinical Biochemistry, University Health Network, Toronto, ON, M5G 2C4, Canada</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:vathany.kulasingam@uhn.ca">vathany.kulasingam@uhn.ca</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>12</day>
                <month>12</month>
                <year>2017</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2017</year>
            </pub-date>
            <volume>6</volume>
            <elocation-id>1832</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>19</day>
                    <month>6</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2017 Fung AWS et al.</copyright-statement>
                <copyright-year>2017</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/6-1832/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Therapeutic drug monitoring of immunosuppressant drugs are used to monitor drug efficacy and toxicity and to prevent organ transplant rejection. This study evaluates the analytical performance of semi-automated electrochemiluminescence immunoassays (ECLIA) for cyclosporine (CSA), tacrolimus (TAC) and sirolimus (SRL) on the Roche cobas e 411 analyzer at a major transplant hospital to assess method suitability and limitations.</p>
                <p>
                    <bold>Methods:</bold> Residual whole blood samples from patients undergoing immunosuppressant therapy were used for evaluation. Imprecision, linearity, functional sensitivity, method comparisons and lot-to-lot comparisons were assessed.</p>
                <p>
                    <bold>Results:</bold> Total imprecision ranged from 3.3 to 7.1% for CSA, 3.9 to 9.4% for TAC, and 4.6 to 8.2% for SRL. Linearity was verified from 30.0 to 960.9 &#x03bc;g/L for CSA, from 1.1 to 27.1 &#x03bc;g/L for TAC, and from 0.5 to 32.3 &#x00b5;g/L for SRL. The functional sensitivity met the manufacturer&#x2019;s claims and was determined to be &lt;6.5 &#x03bc;g/L for CSA, 1.1 &#x03bc;g/L for TAC, and &lt;0.1 &#x00b5;g/L for SRL (CV&#x2264;20%). Deming regression analysis of method comparisons with the ARCHITECT immunoassay yielded slopes of 0.917 (95%CI: 0.885-0.949) and 
                    <italic toggle="yes">r</italic> of 0.985 for CSA, 0.938 (95%CI: 0.895-0.981) and 
                    <italic toggle="yes">r</italic> of 0.974 for TAC, and 0.842 (0.810-1.110) and 
                    <italic toggle="yes">r</italic> of 0.982 for SRL. Deming regression analysis of comparisons with the LC&#x2013;MS/MS method yielded slopes of 1.331 (95%CI: 1.167-1.496) and 
                    <italic toggle="yes">r</italic> of 0.969 for CSA, 0.924 (95%CI: 0.843-1.005) and 
                    <italic toggle="yes">r</italic> of 0.984 for TAC, and 0.971 (95%CI: 0.913-1.030) and 
                    <italic toggle="yes">r</italic> of 0.993 for SRL.</p>
                <p>
                    <bold>Conclusions:</bold> The cobas e 411 ECLIA for CSA, TAC, and SRL have acceptable precision, linearity, and functional sensitivity. The method comparisons correlated well with the ARCHITECT immunoassay and LC&#x2013;MS/MS and is fit for therapeutic drug monitoring.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Cyclosporine</kwd>
                <kwd>tacrolimus</kwd>
                <kwd>sirolimus</kwd>
                <kwd>immunoassay</kwd>
                <kwd>ECLIA</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 1</title>
                <p>This revised manuscript incorporates the LC-MS/MS method description from the "Supplementary Materials" section into the main text's "Methods" section for easier access. A brief discussion on the limitation of an imprecision study that was performed using a single reagent lot, and on the lack of standardization for immunosuppressant drugs are now included. The calibration frequency and edits for grammatical errors have been incorporated.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>Immunosuppressive drugs (ISD), such as the calcineurin inhibitors (cyclosporine (CSA) and tacrolimus (TAC)) and mammalian target of rapamycin (mTOR) inhibitors (sirolimus (SRL) and everolimus), are critical to the maintenance of solid organ transplantation
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. CSA is a cyclic undecapeptide and TAC (also known as FK-506) is a macrolide lactone. CSA binds to cyclophilin A/B and inhibits calcineurin. TAC binds to FK506-binding protein 12 (FKBP-12) to form the calcineurin inhibitory complex. Inhibition of calcineurin, a serine/threonine phosphatase, leads to altered calcium-dependent signal transduction, and decreases T-cell activation and downregulates anti-inflammatory response-related genes
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>,
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. SRL (also known as rapamycin) is a 31-membered macrolide antibiotic that binds to FKBP-12 and allosterically targets the mTOR pathway, inhibiting cell cycle progression, T-cell proliferation and differentiation
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. SRL has structural similarities to TAC and competes with TAC for FKBP-12 binding
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>,
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. All three ISDs are characterized by having variable absorption, poor bioavailability, strong affinity to blood proteins, leukocytes, and/or erythrocytes, and metabolism via cytochrome CYP3A4/5 and efflux transport by P-glycoprotein
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>.</p>
            <p>Therapeutic drug monitoring is a mainstay in immunosuppressant therapy. ISDs have narrow therapeutic ranges
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>, high interindividual variability in pharmacokinetics and pharmacogenetics
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>,
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup>, susceptibility to food- and drug-drug interactions
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>, and adverse consequences if plasma drug levels are not maintained
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>,
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. Similar toxic effects have been described for CSA and TAC, due to their overlapping mechanism of action, and includes nephrotoxicity, hypertension, and neurotoxicity
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. TAC is a more potent calcineurin inhibitor than CSA, due to increased affinity for FKBP-12 and the advantage of decreased nephrotoxicity, risk of hyperlipidemia and hypertension
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>,
                    <xref ref-type="bibr" rid="ref-2">2</xref>,
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. TAC, however, is more likely to cause post-transplantation diabetes
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>,
                    <xref ref-type="bibr" rid="ref-9">9</xref>,
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup>. SRL does not cause renal toxicities; however, long-term SRL use can induce leukopenia, thrombocytopenia, and dyslipidemia
                <sup>
                    <xref ref-type="bibr" rid="ref-11">11</xref>,
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup>. The target therapeutic range for each ISD may vary depending on type of organ transplanted, time from transplantation, co-administered drugs, and method of analysis.</p>
            <p>Recently, semi-automated electrochemiluminescence immunoassays (ECLIA) for the quantification of CSA, TAC, and SRL in whole blood were developed and made available by Roche Diagnostics (GmbH, Mannheim, Germany)
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>,
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup>. In this study, we evaluated the analytical performance of ECLIA method for CSA, TAC, and SRL on the Roche cobas e411 analyzer and compared to the commonly used chemiluminescent microparticle immunoassay (CMIA) method on the Abbott ARCHITECT 
                <italic toggle="yes">i</italic>2000 analyzer (Abbott Laboratories, Abbott Park, IL, USA). This is the first report on the evaluation of ECLIA SRL, and compares the performance of all three ISDs together.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Specimen source and handling</title>
                <p>Ethics approval for this study was waived by the Research Ethics Board at the University Health Network in Toronto, Ontario, Canada (16-6312) for use of routine collected specimens for the evaluation of method performance. Residual EDTA whole blood specimens from 300 patients undergoing immunosuppressant therapy (either cyclosporine, tacrolimus, or sirolimus) at the University Health Network, and CAP proficiency testing samples were used in this evaluation. Samples were collected and analyzed by the Abbott CMIA within the same day, then stored as per manufacturer recommendations and analyzed later by the Roche ECLIA and LC-MS/MS methods. Samples were thawed and equilibrated to room temperature for 30 minutes and mixed well prior to analysis. In accordance with stability studies on whole blood ISD specimens, samples were analyzed within three months of collection and did not undergo more than two freeze-thaw cycles
                    <sup>
                        <xref ref-type="bibr" rid="ref-15">15</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref-18">18</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>Electrochemiluminescence immunoassay (ECLIA) method on Roche cobas e 411</title>
                <p>The cobas ECLIAs (Roche Diagnostics GmbH, Mannheim, Germany) for CSA, TAC, and SRL are based on the competition of analyte in sample with a ruthenium-labeled analogue. A voltage is applied and electrochemiluminescence signal is detected. Testing was performed according to the manufacturer&#x2019;s instructions. Briefly, the samples (calibrators, QC, whole blood samples) were manually pretreated by combining 300 &#x00b5;L of whole blood with 300 &#x00b5;L of Universal ISD Sample Pretreatment Reagent (containing zinc sulfate and methanol) and vortexed for 10 seconds to lyse the red blood cells, precipitate proteins and extract the analyte. The samples were centrifuged for 4 minutes at 15,000 x g, and the supernatant was decanted for analysis. Analysis was performed within 30 minutes of preparation to prevent evaporation of the extracted samples. The ECLIA assays were calibrated as per manufacturer&#x2019;s instruction by a 2-point calibration using calibrators traceable to pure standard materials reconstituted in whole blood matrix by gravimetrical methods.</p>
            </sec>
            <sec>
                <title>Chemiluminescent microparticle immunoassay (CMIA) method on Abbott ARCHITECT i2000</title>
                <p>The ARCHITECT CMIAs (Abbott Laboratories, Abbott Park, IL, USA) for CSA, TAC, and SRL are based on competition of analyte in sample with acridinium-labeled analogue. The samples were manually pretreated according to the manufacturer&#x2019;s instructions and site-specific standard operating procedures. For CSA, 100 &#x00b5;L of Cyclosporine Solubilizing Reagent (4% saponin) and 400 &#x00b5;L of Cyclosporine Precipitation Reagent (zinc sulfate in methanol and ethylene glycol) was added to 200 &#x00b5;L of sample
                    <sup>
                        <xref ref-type="bibr" rid="ref-19">19</xref>,
                        <xref ref-type="bibr" rid="ref-20">20</xref>
                    </sup>. For TAC, 200 &#x00b5;L of sample was mixed with 200 &#x00b5;L of Tacrolimus Precipitation Reagent (zinc sulfate in methanol)
                    <sup>
                        <xref ref-type="bibr" rid="ref-21">21</xref>,
                        <xref ref-type="bibr" rid="ref-22">22</xref>
                    </sup>. For SRL, 150 &#x00b5;L of sample was mixed with 300 &#x00b5;L of Sirolimus Precipitation Reagent (zinc sulfate in &gt;50% v/v DMSO and ethylene glycol), vortexed and heated at 42&#x00b0;C for 10 minutes
                    <sup>
                        <xref ref-type="bibr" rid="ref-23">23</xref>,
                        <xref ref-type="bibr" rid="ref-24">24</xref>
                    </sup>. All ISD samples were then vortexed for 10 seconds and centrifuged for 4 minutes at 15,000 x g. The supernatants were decanted into labelled tubes and assayed within 30 minutes of sample preparation. The ARCHITECT CMIAs are calibrated according to the site-specific standard operation procedures and manufacturer&#x2019;s instructions, with a 6-point 4-parameter logistic curve fit (4PLC, y-weighted) that is traceable to pure standard materials in a whole blood matrix by gravimetrical methods. Internal QC was evaluated with Bio-Rad Lyphochek Whole Blood ISD Controls levels 1, 3, and 4.</p>
            </sec>
            <sec>
                <title>Electrospray ionization liquid chromatography tandem mass spectrometry (ESI-LC-MS/MS) method</title>
                <p>The ESI-LC-MS/MS MRM method for CSA, TAC, and SRL were analyzed on a 4000 QTrap mass spectrometer (SCIEX) at the Hospital for Sick Children (Toronto, ON, Canada). Samples were pretreated by mixing 40 &#x00b5;L of sample with 100 &#x00b5;L of sample pretreatment reagent consisting of 0.04M zinc sulfate, and internal standards 100.0 &#x00b5;g/L cyclosporine D and 10.0 &#x00b5;g/L ascomycin in methanol. Samples were vortexed and centrifuged for 5 minutes at 15, 000 x g to obtain the supernatant for analysis. The analyte is separated by liquid chromatography (Nexera X2 Shimadzu) with a reverse phase C
                    <sub>18</sub> column (Phenomenex, 4 x 3.0 mm at 45&#x00b0;C) and gradient elution from 100% B to 50% B (Buffer A: 2 mM ammonia acetate and 0.1% formic acid in water and Buffer B: 2 mM ammonia acetate and 0.1% formic acid in methanol) at a flowrate of 650 &#x00b5;L/min and electrospray ionization into the mass spectrometer. The following precursor/production pairs in positive ion mode were used 1220.8/1203.8 
                    <italic toggle="yes">m/z</italic> for CSA, 821.5/768.5 
                    <italic toggle="yes">m/z</italic> for TAC, and 931.6/864.5 
                    <italic toggle="yes">m/z</italic> for SRL. CSA and TAC were calibrated with a 6-point calibration curve using Emit 2000 CSA or TAC specific calibrators (Syva Company, Siemens Healthcare). SRL was calibrated with a 6-point calibration curve using 6Plus1 Multilevel immunosuppressant calibrators (Chromsystems). There is generally a lack of certified reference materials for TDM-relevant drugs, including the ISDs. There is currently only one ISD certified reference material for tacrolimus in whole blood (ERM-DA110a), and current efforts are directed towards standardization
                    <sup>
                        <xref ref-type="bibr" rid="ref-25">25</xref>
                    </sup>. Internal QC were evaluated with Bio-Rad Lyphochek Whole Blood ISD Controls levels 1, 3, and 4.</p>
            </sec>
            <sec>
                <title>Imprecision</title>
                <p>Three levels of manufacturer multi-analyte QC materials (Roche Diagnostics PreciControl ISD levels 1, 2, and 3) and third-party multi-analyte QC materials (Bio-Rad Lyphochek Whole Blood ISD Controls levels 1, 3, and 4) were analyzed. QC samples were prepared and measured in duplicate, one run per day over 10 days. The acceptance criterion for total imprecision was based on the recommendation of the International Association of Therapeutic Drug Monitoring and Clinical Toxicology (IATDMCT) expert consensus group of &#x2264; 10%
                    <sup>
                        <xref ref-type="bibr" rid="ref-25">25</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>Functional sensitivity</title>
                <p>Residual patient sample with levels 2&#x2013;3 times the claimed limit of quantification (LoQ) was used to generate a series of dilutions with blank whole blood. The neat sample and dilutions were measured in triplicates within one day. The precision profile curve was used to calculate the LoQ concentration corresponding to a CV of 20% with the upper 95% confidence limit.</p>
            </sec>
            <sec>
                <title>Linearity</title>
                <p>Since there is a lack of elevated CSA and TAC patient specimen, CSA and TAC linearity were assessed using CAP EQA linearity materials (6 concentrations measured in duplicate). SRL linearity was assessed using a patient sample above the upper measuring range diluted with blank whole blood to 6 concentrations and measured in duplicate. The acceptance criterion was defined as slope of 1.00 &#x00b1; 0.05 and deviation &lt;10%.</p>
            </sec>
            <sec>
                <title>Method comparison</title>
                <p>Method comparison experiments were assessed where anonymized residual patient samples spanning the analytical measuring range for each analyte were measured once per method. CSA samples concentrations ranged from 41.0 to 1808.0 &#x03bc;g/L, TAC ranged from 2.1 to 30.0 &#x03bc;g/L, and SRL ranged from 1.8 to 34.6 &#x03bc;g/L as determined by ARCHITECT CMIA. Roche ECLIA measurements were compared to ARCHITECT CMIA (n=100). To further elucidate the accuracy between immunoassays, a subset of samples was also analyzed by LC-MS/MS (n=20). Lot-to-lot assessment was also performed between two lots of reagents for each ISD (n=20). The slope, intercept, correlation coefficient 
                    <italic toggle="yes">r</italic> were analyzed by Deming regression analysis. The acceptance criteria for method comparison were defined as a slope of 1.00 &#x00b1; 0.15 and 
                    <italic toggle="yes">r</italic> of &#x2265; 0.95, meanwhile for lot-to-lot comparison were defined as a slope of 1.00 &#x00b1; 0.05 and 
                    <italic toggle="yes">r</italic> of &#x2265; 0.95.</p>
            </sec>
            <sec>
                <title>Statistical analysis</title>
                <p>Microsoft Excel (version 1708, Microsoft Office) and/or EP Evaluator (version 7.0.0.307, Data Innovations) were used for statistical analysis.</p>
            </sec>
        </sec>
        <sec sec-type="results | discussion">
            <title>Results and discussion</title>
            <p>To assess imprecision, three levels of manufacturer (Roche PreciControl) and third-party (Bio-Rad Lyphochek) multi-analyte QC materials were analyzed using one lot of reagents in duplicate, one run per day over 10 days (
                <xref ref-type="table" rid="T1">Table 1</xref>). For the PreciControl, the total imprecision was &lt;7.1% for CSA, &lt;9.4% for TAC, and &lt;5.6% for SRL. Imprecision for CSA and TAC were comparable to other studies
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>,
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup>. Our study additionally evaluated third-party QC performance on ECLIA ISD assays, a total imprecision of &lt;4.7% for CSA, &lt;6.3% for TAC, and &lt;8.2% for SRL were determined. The imprecision goal of &#x2264;10%, based on the recommendation of the IATDMCT expert consensus group, was achieved for all QC samples
                <sup>
                    <xref ref-type="bibr" rid="ref-25">25</xref>
                </sup>. Note that this imprecision study was performed using a single reagent lot and may not represent variations due to other variables such as changes in operator, calibrator and reagent lots, and ambient operating conditions. Overall, the ECLIA methods demonstrate acceptable precision.</p>
            <table-wrap id="T1" orientation="portrait" position="anchor">
                <label>Table 1. </label>
                <caption>
                    <title>Total imprecision for cyclosporine, tacrolimus, and sirolimus determined by the ECLIA method (duplicate per run, 1 run per day for 10 days).</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th colspan="1" rowspan="1"/>
                            <th align="right" colspan="1" rowspan="1" valign="top">Samples</th>
                            <th align="right" colspan="1" rowspan="1" valign="top">Mean Conc.
                                <break/>(&#x03bc;g/L)
                                <xref ref-type="other" rid="fn1">*</xref>
                            </th>
                            <th align="right" colspan="1" rowspan="1" valign="top">Total CV
                                <break/>(%)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="right" colspan="1" rowspan="6" valign="middle">Cyclosporine
                                <break/>(CSA)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">Roche ISD L1</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">63.1</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">7.1</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Roche ISD L2</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">271.1</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">5.1</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Roche ISD L3</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">976.9</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">3.8</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Bio-Rad WB ISD L1</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">67.3</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">4.7</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Bio-Rad WB ISD L3</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">346.5</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">4.5</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Bio-Rad WB ISD L4</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">740.1</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">3.3</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="6" valign="middle">Tacrolimus
                                <break/>(TAC)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">Roche ISD L1</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">2.5</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">9.4</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Roche ISD L2</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">9.2</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">6.9</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Roche ISD L3</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">16.9</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">4.1</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Bio-Rad WB ISD L1</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">4.1</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">6.3</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Bio-Rad WB ISD L3</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">7.8</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">5.3</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Bio-Rad WB ISD L4</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">15.2</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">3.9</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="6" valign="middle">Sirolimus
                                <break/>(SRL)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">Roche ISD L1</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">3.4</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">4.6</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Roche ISD L2</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">8.7</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">5.6</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Roche ISD L3</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">15.4</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">4.7</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Bio-Rad WB ISD L1</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">5.9</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">4.7</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Bio-Rad WB ISD L3</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">9.5</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">5.7</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="top">Bio-Rad WB ISD L4</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">14.2</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">8.2</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn>
                        <p id="fn1">*Conventional unit: 1 &#x00b5;g/L = 1 ng/mL</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <p>The ECLIA methods offer a wider linear analytical measuring range for CSA and TAC than CMIA methods. ECLIA CSA, TAC, and SRL were linear up to 960.9 &#x03bc;g/L, 27.1 &#x03bc;g/L, and 32.3 &#x03bc;g/L, respectively. The higher upper limit allows TDM and pharmacokinetic analysis of ISD at different time points and peak concentrations offering additional flexibility
                <sup>
                    <xref ref-type="bibr" rid="ref-26">26</xref>,
                    <xref ref-type="bibr" rid="ref-27">27</xref>
                </sup>.</p>
            <p>The claimed functional sensitivity of the ECLIA ISD methods are improved for TAC and SRL compared to CMIA ISD methods. The functional sensitivities were assessed and the precision profile was used to calculate the LoQ corresponding to a CV of 20% with upper 95% confidence limit. The functional sensitivities were determined to be &lt;6.5 &#x03bc;g/L for CSA, 1.1 &#x03bc;g/L for TAC, and &lt;0.1 &#x03bc;g/L for SRL, which meets the 2007 European consensus guideline and IATDMCT expert consensus group recommended LoQ of 20.0 &#x03bc;g/L for CSA and a LoQ of 1.0 &#x03bc;g/L for both TAC and SRL
                <sup>
                    <xref ref-type="bibr" rid="ref-25">25</xref>,
                    <xref ref-type="bibr" rid="ref-28">28</xref>
                </sup>.</p>
            <p>For method comparison, anonymized residual patient samples spanning the analytical measuring range for each analyte were measured. CSA samples concentrations ranged from 41.0 to 1808.0 &#x03bc;g/L, TAC ranged from 2.1 to 30.0 &#x03bc;g/L, and SRL ranged from 1.8 to 34.6 &#x03bc;g/L as determined by CMIA. ECLIA ISDs measurements were compared to CMIA ISDs (n=100). The acceptance criteria were defined as a slope of 1.00 &#x00b1; 0.15 and 
                <italic toggle="yes">r</italic> of &#x2265; 0.95. 
                <xref ref-type="fig" rid="f1">Figure 1</xref> shows the Deming regression and Bland-Altman analysis for CSA, TAC, and SRL. ECLIA and CMIA CSA (
                <xref ref-type="fig" rid="f1">Figure 1A</xref>) showed good agreement with a slope of 0.917 (95% CI: 0.885-0.949), intercept of -15.2 (95% CI: -39.4-9.0), and 
                <italic toggle="yes">r</italic> of 0.985. For TAC, the ECLIA TAC also showed good agreement with CMIA TAC (
                <xref ref-type="fig" rid="f1">Figure 1B</xref>) with a slope of 0.938 (95% CI: 0.895-0.981), intercept of 0.2 (95% CI -0.4-0.8), and 
                <italic toggle="yes">r</italic> of 0.974. Similar trends were observed by others (slopes of 0.87 for CSA, and 0.96-0.98 for TAC)
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>,
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup>. Reported for the first time, method comparison of ECLIA and CMIA SRL (
                <xref ref-type="fig" rid="f1">Figure 1C</xref>) showed a slope of 0.842 (95% CI: 0.810-1.110), intercept of 0.9 (95% CI: 0.4-1.4), and 
                <italic toggle="yes">r</italic> of 0.982. Overall, all three ECLIA ISDs met our acceptance criteria, with SRL slightly exceeding the limit for the slope.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <p>Method comparisons and Bland-Altman plots for (
                        <bold>A</bold>) cyclosporine (CSA), (
                        <bold>B</bold>) tacrolimus (TAC), and (
                        <bold>C</bold>) sirolimus (SRL) between cobas e411 ECLIA and ARCHITECT i2000 CMIA.</p>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/14595/8fbc1326-f12c-4d12-b43a-7178d1574126_figure1.gif"/>
            </fig>
            <p>To further examine ECLIA performance with CMIA, a subset of samples was also analyzed by LC-MS/MS (n=20). For both CSA immunoassays, a positive bias was observed when compared with LC-MS/MS, similarly observed by others
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>,
                    <xref ref-type="bibr" rid="ref-29">29</xref>,
                    <xref ref-type="bibr" rid="ref-30">30</xref>
                </sup> (
                <xref ref-type="other" rid="SF2">Figure S1</xref>). For TAC, both the ECLIA and CMIA TAC had good agreement with LC-MS/MS, also similarly observed by others for different cohorts of solid organ transplant
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>,
                    <xref ref-type="bibr" rid="ref-21">21</xref>,
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup> (
                <xref ref-type="other" rid="SF3">Figure S2</xref>). Reported for the first time, the ECLIA SRL compared to LC-MS/MS showed a slope of 0.971 (95% CI: 0.913-1.030), intercept of 2.4 (95% CI: 1.6-3.3), and 
                <italic toggle="yes">r</italic> of 0.993 (
                <xref ref-type="fig" rid="f2">Figure 2</xref>). Meanwhile, CMIA SRL compared to LC-MS/MS showed a slope 1.119 (95% CI: 1.051-1.187), intercept of 1.4 (95% CI: 0.5-2.4), and 
                <italic toggle="yes">r</italic> of 0.993. Based on our small sample size, both ECLIA and CMIA SRL generally showed good correlation with LC-MS/MS, with ECLIA SRL with better agreement to LC-MS/MS.</p>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>Figure 2. </label>
                <caption>
                    <title>Method comparisons and Bland-Altman plots for sirolimus (SRL) between cobas e411 ECLIA and LC-MS/MS.</title>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/14595/8fbc1326-f12c-4d12-b43a-7178d1574126_figure2.gif"/>
            </fig>
            <p>For lot-to-lot comparisons, Deming regression analysis of 20 residual patient samples tested by 2 lots of reagent for CSA shows a slope of 0.998 (95% CI: 0.967-1.029), intercept of 8.5 (95% CI: -10.2-27.2), and 
                <italic toggle="yes">r</italic> of 0.998. Lot-to-lot comparison for TAC shows a slope of 0.972 (95% CI: 0.936-1.008), intercept of -0.4 (95% CI: -0.8-0.0), and 
                <italic toggle="yes">r</italic> of 0.997. And lot-to-lot comparison for SRL shows a slope of 0.913 (95% CI: 0.841-0.985), intercept of 0.1 (95% CI: -0.9-1.2), and 
                <italic toggle="yes">r</italic> of 0.988. All three ISDs had good correlation between 2 different lots of reagents.</p>
            <p>Evaluation on practical considerations included ease-of-use, throughput, and workflow of the method. The sample pretreatment for the ECLIA method is faster, simpler, and more convenient than CMIA method due to the use of a single universal sample pretreatment reagent and protocol for all three ISDs. Additionally, there is no heating step for the SRL ECLIA method, which leads to a simpler workflow. The ECLIA universal sample pretreatment reagent and protocol would enable better workflow, simpler sample handling and inventory control. The ECLIA method has an assay time of 18 minutes compared to CMIA of 30 minutes. Both ECLIA and CMIA have a lot calibration stability of approximately one month, thus requiring similar calibration frequency. Together, the needs of the individual clinical laboratory will dictate whether some of these practical considerations play a role in the method selection.</p>
            <supplementary-material id="DS0" orientation="portrait" position="float" xlink:href="https://f1000researchdata.s3.amazonaws.com/datasets/12775/5482c4c4-1da7-4278-a215-5152bd6e3c64_Dataset_1.zip">
                <label>File containing the raw data and a table of contents for the data file</label>
            </supplementary-material>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusion</title>
            <p>In conclusion, the overall analytical evaluation of the ECLIA method for CSA, TAC, and SRL met acceptable performance. ECLIA CSA showed better precision than our current CMIA CSA. ECLIA CSA and TAC showed better linearity range, and ECLIA TAC and SRL showed better functional sensitivity than CMIA methods. Method comparisons showed good correlations and agreement between ECLIA ISDs and CMIA ISDs.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <p>The data referenced by this article are under copyright with the following copyright statement: Copyright: &#x00ef;&#x00bf;&#x00bd; 2017 Fung AWS et al.</p>
            <p>Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
                <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/"/>
            </p>
            <p>Dataset 1: File containing the raw data and a table of contents for the data file. doi, 
                <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.5256/f1000research.12775.d180033">10.5256/f1000research.12775.d180033</ext-link>
                <sup>
                    <xref ref-type="bibr" rid="ref-31">31</xref>
                </sup>
            </p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>We thank the technologists and support staff at University Health Network and the Hospital for Sick Children in Toronto, Ontario, Canada for their contributions to this study. The cobas ECLIA ISD reagents used in the method evaluation were provided by Roche Diagnostics.</p>
            <p>
                <italic toggle="yes">Roche Diagnostics had no role in the design, analysis, or interpretation of this study.</italic>
            </p>
        </ack>
        <sec id="SM1" sec-type="supplementary-material">
            <title>Supplementary material</title>
            <p id="SF2">Figure S1: Method comparisons and Bland-Altman plots for cyclosporine (CSA) between (A) cobas e 411 ECLIA and LC-MS/MS, and (B) ARCHITECT i2000 CMIA and LC-MS/MS.</p>
            <p>
                <ext-link ext-link-type="uri" xlink:href="https://f1000researchdata.s3.amazonaws.com/supplementary/12775/849f3aad-6c07-4126-8f82-bba82cdc71fb.tif">Click here to access the data</ext-link>.</p>
            <p id="SF3">Figure S2: Method comparisons and Bland-Altman plots for tacrolimus (TAC) between (A) cobas e 411 ECLIA and LC-MS/MS, and (B) ARCHITECT i2000 CMIA and LC-MS/MS.</p>
            <p>
                <ext-link ext-link-type="uri" xlink:href="https://f1000researchdata.s3.amazonaws.com/supplementary/12775/9d8661c8-fe86-4e3d-8009-15e36ce33450.tif">Click here to access the data</ext-link>.</p>
        </sec>
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                            <given-names>MJ</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Blasutig</surname>
                            <given-names>IM</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Dataset 1 in: Evaluation of electrochemiluminescence immunoassays for immunosuppressive drugs on the Roche cobas e411 analyzer.</article-title>
                    <source>

                        <italic toggle="yes">F1000Research.</italic>
</source>
                    <year>2017</year>.
                    <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.5256/f1000research.12775.d180033">Data Source</ext-link>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report29428">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.14595.r29428</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Hill</surname>
                        <given-names>Stephen A.</given-names>
                    </name>
                    <xref ref-type="aff" rid="r29428a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r29428a1">
                    <label>1</label>Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>3</day>
                <month>1</month>
                <year>2018</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2018 Hill SA</copyright-statement>
                <copyright-year>2018</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport29428" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.12775.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <list list-type="order">
                    <list-item>
                        <p>&#x201c;The ECLIA methods offer a wider analytical measurement range for CSA and TAC than CMAI methods.&#x201d;&#x00a0;It would be helpful to include the upper limits for the CMIA assays for comparison.</p>
                    </list-item>
                    <list-item>
                        <p>&#x201c;The claimed functional sensitivity of the ECLAI ISD methods are improved for TAC and SRL compared to CMIA ISD methods.&#x201d;&#x00a0;It would be helpful to include the CMIA data for comparison.</p>
                    </list-item>
                    <list-item>
                        <p>&#x201c;Overall, all three ECLID ISDs met our acceptance criteria, with SRL slightly exceeding the limit for slope.&#x201d;&#x00a0;The two parts of this sentence are incongruent. SRL did not meet your pre-determined criteria. It is inappropriate to set pre-determined acceptance criteria and then not use them.</p>
                        <p> </p>
                        <p> &#x201c;In conclusion, the overall analytical evaluation of ELCIA method for CSA, TAC and SRL met acceptable performance&#x201d; The same comment applies here.</p>
                        <p> </p>
                        <p> One of the strengths of this paper is that pre-determined criteria were established.</p>
                        <p> </p>
                        <p> I think it&#x2019;s fair to state the in spite of not meeting all pre-determined performance criteria, the ECLIA methods are of sufficient quality to accept them for clinical service. &#x00a0;</p>
                        <p> </p>
                        <p> Some re-wording should correct this.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>NA</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report26927">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.13840.r26927</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Shaw</surname>
                        <given-names>Julie</given-names>
                    </name>
                    <xref ref-type="aff" rid="r26927a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r26927a1">
                    <label>1</label>Department of Pathology and Laboratory Medicine, The Ottawa Hospital, Eastern Ontario Regional Laboratories Association, University of Ottawa, Ottawa, ON, Canada</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>30</day>
                <month>11</month>
                <year>2017</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2017 Shaw J</copyright-statement>
                <copyright-year>2017</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport26927" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.12775.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Here the authors describe evaluation of three immunosuppressant drug immunoassays on the Roche Cobas e411 analzyer. The authors evaluated the performance of assays for cyclosporine, tacrolimus and sirolimus on the system, which included imprecision, linearity and functional sensitivity studies as well as method comparisons and lot-to-lot comparisons. They compared the assay performance to the performance of the same assays on the Abbott immunoassay system and to LC MS/MS assays for the same analytes.</p>
            <p> I have a few comments that, if the authors could address, I feel would strengthen the manuscript.&#x00a0; 
                <list list-type="order">
                    <list-item>
                        <p>In the methods section, it&#x2019;s not clear to me whether the measurements were performed using the Roche, Abbott and LC-MS/MS methods on the same day.&#x00a0;It is mentioned that some specimens were stored prior to analysis.&#x00a0;Could the authors clarify this?</p>
                    </list-item>
                    <list-item>
                        <p>What are the immunoassays and LC-MS/MS methods traceable to?&#x00a0;Is there a standard?&#x00a0;This information would be helpful.</p>
                    </list-item>
                    <list-item>
                        <p>The authors mention that the Roche assays were calibrated five times over the course of the study.&#x00a0;Is this in fitting with the manufacturer&#x2019;s recommendations?&#x00a0;How does this calibration frequency compare to the Abbott system?</p>
                    </list-item>
                    <list-item>
                        <p>The authors should discuss the limitation of performing imprecision studies using only one lot number of reagent.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>The authors should include a description of the LC MS/MS method that was used.&#x00a0;There is currently no mention of this methodology until the results section.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>There are several grammatical errors throughout the manuscript and I would recommend that the authors read it through carefully to correct these.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>NA</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report26931">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.13840.r26931</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Shea</surname>
                        <given-names>Jennifer</given-names>
                    </name>
                    <xref ref-type="aff" rid="r26931a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r26931a1">
                    <label>1</label>Laboratory Medicine, Saint John Regional Hospital, Horizon Health Network, Saint John, NB, Canada</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>20</day>
                <month>10</month>
                <year>2017</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2017 Shea J</copyright-statement>
                <copyright-year>2017</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport26931" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.12775.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Fung et al. present data evaluating three new ECLIA assays for the immunosuppressant drugs cyclosporine, tacrolimus, and sirolimus on a Roche Cobas e411 analyzer. Overall the study design is sound generally following CLSI guidelines for method validation.&#x00a0; The introduction provides a thorough background on the drugs/assays being evaluated and the methods section clearly describes each portion of the method validation that would easily allow another researcher to replicate the study if desired.&#x00a0; The results/discussion section succinctly presents their data in a cohesive and systematic manner and the authors do a&#x00a0; great job at highlighting the novel aspects of their study. Their conclusion that these three new assays are fit for use for therapeutic drug monitoring is supported by the data presented.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>NA</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
</article>
