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. Author manuscript; available in PMC: 2014 Jun 1.
Published in final edited form as: J Clin Virol. 2013 Feb 17;57(2):115–119. doi: 10.1016/j.jcv.2013.01.016

REACTIVATION OF LATENT VIRUSES IN INDIVIDUALS RECEIVING RITUXIMAB FOR NEW ONSET TYPE 1 DIABETES

Jing Lu Kroll 1, Craig Beam 2, Shaobing Li 3, Raphael Viscidi 4, Bonnie Dighero 3, Alice Cho 3, David Boulware 2, Mark Pescovitz 5, Adriana Weinberg 1,3,6,*; The Type 1 Diabetes TrialNet Anti CD-20 Study Group
PMCID: PMC3640764  NIHMSID: NIHMS442005  PMID: 23422292

Abstract

Background

Rituximab has been successfully used as an experimental therapy in different autoimmune diseases. Recently, a double-blind placebo-controlled phase-2 study in early onset type 1 diabetes showed that rituximab delayed progression of the disease. However, like with any immunosuppressive therapy, there is a concern of opportunistic viral reactivations with the use of rituximab, including herpes and polyomaviruses.

Objectives

To study the incidence of new infections and reactivations with BK, JC, Epstein-Barr and cytomegalovirus (BKV, JCV, EBV and CMV) in T1D participants in the phase-2 rituximab study.

Study Design

Subjects received 4 weekly doses of rituximab (N=57) or placebo (N=30) during the first month of study. Blood samples obtained at weeks 0, 12, 26, 56 and 78 were assayed for CMV, EBV, BKV and JCV by real-time DNA PCR and serology.

Results

EBV reactivations were diagnosed by PCR in 25% of placebo, but none of rituximab recipients (p<0.01). There were no episodes of CMV viremia in either treatment group. BKV viremias were significantly more common in the rituximab recipients (9%) compared with placebo controls (0, p<0.01). No JCV reactivations were detected in this study, but among 6 rituximab and 2 placebo recipients who seroconverted for JCV during the study, only one rituximab recipient had detectable viremia. All infections were asymptomatic.

Conclusions

Four doses of rituximab administered to individuals with early onset T1D decreased the incidence of asymptomatic EBV reactivations, as predicted by the rituximab-mediated elimination of memory B-cells, but increased the frequency of asymptomatic viremias caused by polyomaviruses.

Keywords: Rituximab, Type 1 diabetes, Epstein Barr virus, JC virus, BK virus, Cytomegalovirus

BACKGROUND

Rituximab is a molecularly engineered, chimeric murine/human anti-human CD20 monoclonal antibody. While rituximab was initially approved for treatment of B cell non-Hodgkin’s lymphoma, it has been successfully used in many different antibody-mediated or antibody-associated diseases such as chronic refractory idiopathic thrombocytopenic purpura (ITP)1, myasthenia gravis2, and rheumatoid arthritis3, 4. Recent data suggest that even classically considered antibody-mediated diseases, such as ITP, might be T cell-mediated, in which case the beneficial effect of rituximab might result from elimination of antigen-presenting B cells5.

The pathophysiology of type 1 diabetes (T1D) most likely requires the presentation of beta cell antigens to T cells within lymph nodes. The antigen reactive T cells then migrate to the pancreas where autoimmune destruction of the beta cells occurs. B cells may play a crucial role as antigen presenting cells in T1D. A recent double-blind placebo-controlled phase 2 study of rituximab in early onset T1D showed a delay of disease progression in the treatment group6. Further studies indicated that rituximab attenuated beta-cell loss, although it did not decrease proliferative responses to beta cell antigens7.

Rituximab eliminates mature circulating B cells for up to nine months. Severe and even fatal cases of hepatitis B (HBV) and other viral reactivations were described after rituximab treatment in combination with other chemotherapeutic or immunosuppressive agents810. Among herpesviruses, fatal varicella zoster virus (VZV)11 and cytomegalovirus (CMV) reactivations12, 13 were described. Recently, a review of FDA reports, manufacturer’s database and publications revealed 57 cases of progressive multifocal leukoencephalpathy (PML) in HIV-negative patients treated with rituximab with a case fatality rate of 90%. The median time from the first rituximab dose to PML diagnosis was 16 months (range =10–90 months) and the median time from the last dose of rituximab to PML diagnosis was 5.5 months (range =0.3–66 months)14. Another review of 64 cases of serious viral infections associated with rituximab treatment found that the median interval from the start of rituximab treatment to diagnosis of viral opportunistic infections was 5 months (range =1–20 months). The most common agents of viral reactivations were HBV (39%, N=25), CMV (23%, N=15) and VZV (9%, N=6). Of the patients with HBV infections, 13 (52%) died from hepatic failure. Among the 39 viral infections other than HBV, 13 had a fatal outcome15.

OBJECTIVES

We evaluated the incidence and outcome of primary infections and reactivations of EBV, CMV, BKV and JCV in rituximab and placebo recipients with early onset T1D enrolled in a previously described study6 over 78 weeks of follow-up.

STUDY DESIGN

Subjects

Of 87 participants between 8 and 40 years old, 57 were randomly assigned to receive rituximab (Table 2). Four 375mg/m2 doses of rituximab were administered on days 1, 8, 15 and 226. Blood samples obtained at weeks 0, 12, 26, 56 and 78 were assayed for EBV, CMV, BKV and JCV circulating DNA and antibodies.

TABLE 2.

Characteristics of the Study Groups

Rituximab Placebo

N = 57 N = 30
Age — yr
 Mean ± standard deviation 19.0±8.6 17.3±7.8
 Median 16 14
 Range 8–40 9–38
Male sex : no. of patients (%) 36 (63) 18 (60)
Race or ethnic group : no. of patients (%)
 White 55 (96) 29 (97)
 Non-Hispanic 54 (95) 27 (90)
No. of days from diagnosis to first infusion
 Median 81 91
 Range 37–137 34–109

PCR Assays

EBV and CMV real-time PCR were performed on whole blood as previously described16. Viral DNA was extracted from 200 μl of previously frozen whole blood using the MagNA Pure apparatus (Roche). Ten μl of extracted DNA were added to 10 μl of DNA PCR master mix containing LightCycler FastStart DNA reaction mix (Roche), primers, (0.5 μM each), probes (0.2 μM each) and MgCl2 (3.5 mM). PCR primers and probes are listed in Table 1. The reaction was allowed to develop over 45 cycles of denaturation, annealing, and elongation in the LightCycler apparatus (Roche). The specificity of the PCR product was confirmed by its melting curve generated at the end of the amplification process. The lower limit of detection (LLD) of both assays was 100 copies/ml. The dynamic range (linear portion of the curve) spanned from 500 to 1,000,000 DNA copies/ml.

TABLE 1.

PCR Primers and Probes

Analyte Primer 1 Primer 2 Probe-FL LC640-Probe-PH
CMV ggcagctatcgtgactgg gatccgacccattgtctaag cgacggtgattcgtggtcgt Ccaactggtgctgccggtcg
EBV gagggtggtttggaaagc aacagacaatggactcccttag agtcgtctcccctttggaatggc ctggacccggcccacaacctg
JCV aactaacatttcttctctggtc actttcaggaaaacccac gatgctgtcaaccctttgtttgg gctacagtatcaacagcctgct
BKV acagcaaagcaggcaag ggtgccaacctatggaacag ttttgccatgaagaaatgtttgccagtgatga aagcaacagcagattctcaacactcaaca

For BKV and JCV real-time PCR, viral DNA was extracted from 200ul serum using the MagNA Pure apparatus Roche. Five μl of extracted DNA were added to 15μl of DNA PCR master mix containing LightCycler FastStart DNA reaction mix (Roche), MgCl2 (3mM for BKV and 4mM for JCV), primers (0.5mM each) and probes (0.25mM each). Primers and probes PCR primers and probes are listed in Table 1. The reaction developed over 45 cycles in the LightCycler apparatus. The specificity of the PCR products was confirmed by their melting curves. A PCR run was considered valid if all the controls including high and low positives, negative and extracted performed within their pre-specified ranges. The number of DNA copies/reaction tube was calculated by comparison with DNA standards (Advanced Biotechnology Inc.) containing a pre-defined number of copies. The LLDs were 600 DNA copies/ml for BKV and 100 copies/ml for JCV. The dynamic ranges were 2000–10,000,000 for BKV and 500–1,000,000 copies/ml for JCV.

Serology Assays

Anti-EBV antibodies were measured using the semi-quantitative Diamedix Immunosimplicity®-IS VCA IgG Test (Diamedix) and the qualitative MERIFLUOR® EBV VCA IgM IFA (Meridian) as per manufacturers’ instructions. Anti-CMV antibodies were measured using the semi-quantitative Diamedix Immunosimplicity®-IS CMV IgG Test (Diamedix) and the qualitative Diamedix Immunosimplicity®-IS CMV IgM Capture Test as per manufacturer’s instructions.

IgG, IgM and IgA anti-BKV and JCV capsids were measured using BK and JC virus-like particles (VLPs)-based ELISA. 96-well microtiter plates Nunc were coated overnight at 4°C with 25 ng of VLPs produced as previously described17. Plates were incubated for 2h at room temperature with 300μl blocking buffer consisting of 0.5% polyvinyl alcohol Sigma and Blocker Casein Thermoscientific in PBS; washed with PBS containing 0.05% Tween 20; and incubated with duplicate serum samples diluted 1:200 in blocking buffer for IgG and 1:100 for IgA and IgM assays. After 1h at 37°C on a microplate shaker, bound IgG, IgA or IgM were detected using goat anti-human IgG, IgA or IgM, respectively, conjugated with horseradish peroxidase (Southern Biotech) and 2,2′-azino-di-3-ethylbenzthiazoline-6-sulfonate (Kirkegaard & Perry) colorimetric substrate. The plates were read at 405nm in an automated microtiter plate reader (Molecular Devices) with a reference wavelength of 490nm. A cut off value for seropositivity was defined as the optical density >mean + 3 S.D. of the reactivity of serum samples from a low prevalence population (children ≤2 years of age) after excluding outliers.

Definitions of primary, recent, past infections and reactivations/reinfections by serology

Past infection was defined by positive IgG and negative IgM and/or IgA results at entry; recent infection by positive IgG and IgM and/or IgA at entry; primary infection by negative IgG at entry followed by positive IgG and/or IgM and/or IgA at any time during the study; reactivation/reinfection by past infection and a ≥2-fold increase in IgG titer or new positive IgM and/or IgA during the follow-up.

Statistical analysis

The frequency of acute, recent, past infections, reactivations/reinfections and PCR-measured viremia was compared between placebo and treated subjects with Fisher’s Exact Test. P-values <0.05 were considered statistically significant.

RESULTS

EBV Infections

At baseline, 39 of 78 (50%) subjects with serology data had evidence of past infection, including 27 of 51 (53%) rituximab and 12 of 27 (44%) placebo recipients. During the 78 weeks of follow-up, 2 placebo recipients acquired primary infection diagnosed by seroconversion. There was no evidence of reactivation/reinfection by serology. However, EBV viremia was detected in 3 baseline-seropositive placebo recipients at a total of 4 visits. The viral loads were 250 to 11,970 EBV DNA copies/mL and all episodes were asymptomatic. There were no EBV viremias in the rituximab group. The frequency of EBV viremias was significantly higher among placebo compared with rituximab recipients p<0.01 (Table 3).

TABLE 3.

Incidence of Primary Infections and Reactivations/Reinfections in Subjects at Risk

EBV CMV BKV JCV
Ritux Plac Ritux Plac Ritux Plac Ritux Plac
N Baseline Seropositive/N Total* 27/51 (53%) 12/27 (44%) 16/51 (31%) 4/27 (15%) 43/52 (83%) 21/30 (70%) 16/52 (31%) 4/30 (13%)
N with Seroconversion/N Susceptible 0/24 0/15 0/35 0/23 0/30 1/9 (11%) 6/36 (17%) 2/26 (8%)
N with PCR+ Primary Infection/N Susceptible 0/24 0/15 0/35 0/23 0/30 0/9 1/36 (3%) 0/26
N Serologic Reactivation/N Baseline Seropositive 0/27 0/12 2/16 (13%) 1/4 (25%) 5/43 (12%) 2/21 (10%) 0/16 0/4
N PCR+ Reactivation/N Baseline Seropositive 0/27 3/12 (25%) 0/16 0/4 4/43 (9%) 0/21 0/16 0/4

Abbreviations: Ritux=rituximab; Plac=placebo; N=number

Bold font indicates significant differences (p<0.05).

CMV Infections

At baseline, 20 of 78 (26%) subjects had past infection, including 16 of 51 (31%) rituximab and 4 of 27 (15%) placebo recipients. During the study, 2 (13%) rituximab and 1 (25%) placebo recipients had a ≥2-fold increase in IgG on ≥1 occasion suggesting reactivation/reinfection. There were no episodes of CMV viremia in either group. All reactivations/reinfections were asymptomatic (Table 3).

BKV Infections

At baseline, 64 of 82 (78%) subjects had past infection, including 43 of 52 (83%) rituximab and 21 of 30 (70%) placebo recipients. Sixteen subjects, 8 in each treatment group, had active or recent infection at baseline. During the study, 1 (3%) placebo and none rituximab recipients acquired primary infection. Seven subjects, 5 (12%) rituximab and 2 (10%) placebo recipients, had serologic evidence of BKV reactivation/reinfection. BKV viremia was detected in 4 (9%) baseline-seropositive rituximab, but in none of the placebo recipients. The viral loads ranged between 850 and 7,550 DNA copies/ml. All four subjects were baseline-seropositive. However, none of them showed serologic evidence of reactivation. Statistical analysis showed that subjects who received rituximab were significantly more likely to have BKV viremia than placebo controls (p<0.01). All the serologic reactivations/reinfections and the viremic episodes were asymptomatic (Table 3).

JCV Infections

At baseline, 20 of 82 subjects (24%) had past infection, including 16 of 52 (31%) rituximab and 4 of 30 (13%) placebo recipients. Three subjects (6%) had evidence of active or recent infection at baseline. All were in the rituximab group. During the study, 8 subjects acquired primary infection: 6 (17%) in the rituximab and 2 (8%) in the placebo group. One rituximab recipient with primary infection had self-limited JCV viremia with a viral load of 7,800 DNA copies/ml. All primary infections were asymptomatic. None of the subjects had evidence of reactivation by serology or PCR (Table 3).

DISCUSSION

The rates of reactivation/reinfection for the herpes and polyomaviruses in this study were generally low and all episodes were asymptomatic. This is in contrast with previous reports of severe viral infections after rituximab infusion. This study had a limited number of subjects in the rituximab-treated group at risk for CMV or JCV reactivations (16 each) and samples were collected at relatively long intervals. However, the length of follow-up was adequate for detecting viral opportunistic infections, since previous studies reported this type of complications at a median of 5 to 16 months after treatment initiation14. There are a few characteristics of our study that may explain the absence of viral complications: 1) administration of a small number (N=4) of rituximab infusions; 2) lack of additional immunosuppressive agents; 3) relatively mild, if any, immunocompromised status of the early onset T1D subjects.

The frequency of BKV viremias was significantly higher in rituximab compared with placebo recipients and occurred in 4 subjects seropositive at baseline indicating that the viremias represented viral reactivations/reinfections. However, reactivations/reinfections diagnosed by changes in antibody titers were equally common in the rituximab and placebo groups. Taken together, these data suggest that rituximab treatment increases the incidence of active BKV replication during reactivations/or reinfections. BKV has been associated with interstitial tubular nephritis and hemorrhagic cystitis in solid organ and hematopoietic stem cell transplant recipients, respectively18. Other end-organ diseases such as pneumonia and encephalitis have been ascribed to BKV, but they are much less frequent19. In hosts immunocompromised due to transplantation, the likelihood of BKV-associated symptoms increases with the BKV DNA titer in serum and/or urine, with thresholds of 10,000 and 1,000,000 DNA copies/mL, respectively. Urine was not tested in this study, but plasma BKV loads were <10,000 DNA copies/mL, which is consistent with the asymptomatic characteristics of the BKV viremias in this study.

JCV reactivations have the potential of leading to PML, a serious and currently untreatable disease. In this study, we did not observe any JCV reactivations, but the number of subjects seropositive at baseline was relatively low: 16 in the rituximab and 4 in the placebo groups. Of note, the low prevalence of JCV infections was consistent with the age distribution of our subjects. There were 6 subjects in the rituximab treatment group who had serologic evidence of primary infection during the study. All were asymptomatic and only one viremia was detected in this group. Although the number of JCV-seropositive subjects in this study was too small to draw definitive conclusions, our findings suggest that administration of 4 doses of rituximab in individuals with early onset T1D might not increase the incidence of JCV reactivations. However, we cannot rule out that more prolonged administration of rituximab for T1D prophylaxis might increase the incidence of JCV reactivations.

As expected, none of the rituximab recipients had EBV viremia, because rituximab eliminates the memory B cells, which are the main reservoir for EBV latency and reactivation. In contrast, 25% of the placebo controls had EBV viremia. In this study, we used EBV DNA measurements as a surrogate of viremia based on our previous findings that most of the EBV DNA detected in whole blood is accounted by actively replicating virus both in immunocompromised and immunocompetent hosts{Kroll, #16}. The frequency of EBV viremias in controls was similar to the one observed in placebo-treated T1D subjects enrolled in other TN studies20 and did not significantly vary with the age of the subjects. We did not study local reactivations in the oropharynx or genital tract. It is interesting to note that the suppressive effect of rituximab on EBV reactivation lasted for at least 18 months after the last rituximab infusion.

CMV reactivations/reinfections were detected by serology only. They were equally frequent in the two treatment groups. Viremias were not detected, but local reactivations in the oropharynx or urogenital tract were not studied and may have been missed. Although severe CMV infection was described in patients treated with rituximab-containing immunosuppressive regimens, individuals with early onset T1D may not be at high risk of systemic dissemination of reactivated CMV.

Before this study, there was a concern that serology might not detect primary infections or reactivations/reinfections in rituximab recipients, due to an attenuation of primary and recall antibody responses. In a previous study, we showed that rituximab recipients respond poorly to primary immunization during the phase of maximal B cell depletion and that responses are later recovered21. Responses to booster doses of vaccines were present, but somewhat attenuated compared with placebo recipients. However, in this study, serology identified 6 primary JCV infections and multiple reactivations of CMV and BKV in the rituximab recipients. Furthermore, there were no episodes of viremia in seronegative subjects that would have been another indication that primary infections might not result in seroconversions.

Overall, this study demonstrated that a 4-dose course of rituximab, which was previously shown to decelerate progression of early onset T1D, was not associated with symptomatic primary infections or reactivations of latent viruses, but increased the frequency of viremias associated with BKV reactivations. Additional studies of polyomaviruses are warranted in patients who receive prolonged rituximab monotherapy for the treatment or prophylaxis of T1D.

Acknowledgments

Funding: This study was funded by grant number 1RC4DK090912-01 from National Institutes of Diabetes and Digestive and Kidney Disorders (NIDDK). The sponsor of the parent trial was the Type 1 Diabetes TrialNet Study Group. Type 1 Diabetes TrialNet Study Group is a clinical trials network funded by the National Institutes of Health (NIH) through the NIDDK, the National Institute of Allergy and Infectious Diseases, and The Eunice Kennedy Shriver National Institute of Child Health and Human Development, through the cooperative agreements U01 DK061010, U01 DK061016, U01 DK061034, U01 DK061036, U01 DK061040, U01 DK061041, U01 DK061042, U01 DK061055, U01 DK061058, U01 DK084565, U01 DK085453, U01 DK085461, U01 DK085463, U01 DK085466, U01 DK085499, U01 DK085505, U01 DK085509, and a contract HHSN267200800019C; the National Center for Research Resources, through Clinical Translational Science Awards UL1 RR024131, UL1 RR024139, UL1 RR024153, UL1 RR024975, UL1 RR024982, UL1 RR025744, UL1 RR025761, UL1 RR025780, UL1 RR029890, UL1 RR031986, P30 DK017047, and General Clinical Research Center Award M01 RR00400; the Juvenile Diabetes Research Foundation International (JRDF); and the American Diabetes Association (ADA). The contents of this Article are solely the responsibility of the authors and do not necessarily represent the official views of the NIH, JDRF, or ADA.

We thank Ms. Jennifer Canniff for technical support; and Ms. Joy Ramiro, Sarah Muller, Benita Book and Dr. Eric Wiebke for operational and administrative support. The following individuals were involved in the TN anti-CD20 study:

Chairman’s Office: Jay S. Skyler, Carla J. Greenbaum, Norma S. Kenyon, Lisa Rafkin-Mervis, Jay M. Sosenko

Coordinating Center (at the time of the study): John M. Lachin, Heidi Krause-Steinrauf, Paula F. McGee, Kimberly Hess, Erica Raiden

NIDDK Staff: Judith Fradkin, Ellen Leschek, Peter Savage, Lisa Spain

Data Safety and Monitoring Board: Emily Blumberg (University of Pennsylvania), Chair; Jonathan Braun (University of California Los Angeles), Lori Laffel (Joslin Diabetes Center), Ali Naji (University of Pennsylvania), Jorn Nerup (University of Copenhagen), Trevor Orchard (University of Pittsburgh), Anastasios Tsiatis (North Carolina State University), Robert Veatch (Georgetown University), Dennis Wallace (Research Triangle Institute). Past Members: Ake Lernmark (Lund University), Bernard Lo (University of California San Francisco), Herman Mitchell (Rho Inc.), Michael Steffes (University of Minnesota), Bernard Zinman (University of Toronto).

Infectious Disease Safety Committee: Brett Loechelt (Children’s National Medical Center) (Medical Monitor), Lindsey Baden (Harvard University), Michael Green (University of Pittsburgh), Adriana Weinberg (University of Colorado)

Laboratory Directors: George S. Eisenbarth (University of Colorado Barbara Davis Center for Childhood Diabetes), Santica Marcovina (University of Washington), Jerry P. Palmer (University of Washington), Adriana Weinberg (University of Colorado), William Winter, Liping Yu (University of Colorado Barbara Davis Center for Childhood Diabetes), Sunanda Babu (University of Colorado Barbara Davis Center for Childhood Diabetes)

PhiX Sub-Study: Hans D Ochs (University of Washington), Troy R Torgerson (University of Washington), Elizabeth Ocheltree (University of Washington)

Neurological Consultants: Joseph Berger (University of Kentucky), Igor Koralnik (Harvard University), Kenneth Tyler (University of Colorado), Richard T. Leschek (Frederick, MD)

Protocol Advisory Committee: Mark D. Pescovitz (Chair), Bruce Buckingham, C. Garrison Fathman, Stephen Gitelman, Kevan Herold, Norma Kenyon, Heidi Krause-Steinrauf, John Looney (University of Rochester), Joan Lunney (USDA), David Ng (University of California San Francisco), Henry Rodriguez, Lisa Spain; Ex-officio: Carla Greenbaum, John M. Lachin, Ellen Leschek, Jay S. Skyler; Kim Owens (liaison).

Clinical Center Staff involved in this Protocol:

Benaroya Research Institute, Seattle, WA: Carla Greenbaum, Jennifer Bollyky, Srinath Sanda, Marli McCulloch-Olson, Deborah Hefty, Christine Webber, Kristen Kuhns, Carynn Murphy Columbia University, New York, NY: Robin Goland, Ellen Greenberg, Mary Pat Gallagher, Jeniece Trast, Mary Chan

Indiana University, Indianapolis, IN: Henry Rodriguez, Mark Pescovitz, Lyla Christner, Maria Nicholson, Martha Mendez

Stanford University, Palo Alto, CA: Darrell M. Wilson, Bruce A. Buckingham, Tandy Aye, Trudy Esrey, Adriana Soto, Jennifer Perry, Bonita Baker, Alison Rigby, Kristin Riley, Maya Chatav, Barbara Berry

University of California, San Francisco, CA: Stephen E. Gitelman, Stephen M. Rosenthal, Mark Anderson, Saleh Adi, Kathleen Breen, Celia Hamilton

University of Colorado Barbara Davis Center for Childhood Diabetes, Aurora, CO: Peter Gottlieb, H. Peter Chase, Melissa Rawley-Payne, Susan George, Laurie Weiner

University of Florida, Gainesville, FL: Desmond Schatz, Michael Haller, Michael Clare-Salzler, Roberta Cook, Diane Mancini, Annie Abraham, Elena Hicks, Gloria Cole

University of Miami Diabetes Research Institute, Miami, FL: Jennifer B. Marks, Alberto Pugliese, Della Matheson, Carlos Blaschke, Luz Arazo, Mario Cisneros

University of Minnesota, Minneapolis, MN: Antoinette Moran, John Wagner, Brandon Nathan, Mary Ann Boes

University of Pittsburgh, Pittsburgh, PA: Dorothy Becker, Frederico Toledo, Karen Riley, Kelly Delallo, Kym Smith

University of Texas Southwestern Medical School, San Antonio, TX: Philip Raskin, Perrin White, Bryan Dickson, Soumya Adhikari, Mark Siegelman, Marilyn Alford, Nenita Torres, Tauri Harden, Lourdes Pruneda, Erica Cordova

University of Toronto, Toronto, Ontario: Diane Wherrett, Lesley A. Eisel, Brenda Ahenkorah, Natasha Razack, Mithula Sriskandarajah

Footnotes

Competing interests: None declared

Ethical approval: Obtained from local IRBs.

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