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Record W2326177472 · doi:10.1097/tp.0b013e31821eabab

The Risk to Human Islet Cell Transplant Recipients of Acquiring Variant Creutzfeldt-Jakob Disease: A Provisional Quantitative Risk Assessment

2011· letter· en· W2326177472 on OpenAlexaffabout
Susie ElSaadany, Michael G. Tyshenko, Tamer Oraby, Andrew J. Malcolm, Peter Senior, A. M. James Shapiro, Angela Catford, Tarek Salem, Jun Wu, Daniel Krewski, Robert G. Rohwer

Bibliographic record

VenueTransplantation · 2011
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPrion Diseases and Protein Misfolding
Canadian institutionsHealth CanadaRobarts Clinical TrialsTranslational Research in OncologyInstitute of Population and Public HealthUniversity of OttawaPublic Health Agency of Canada
Fundersnot available
KeywordsIsletTransplantationCollagenaseMedicineXenotransplantationDiabetes mellitusSurgeryBiologyEnzymeEndocrinologyBiochemistry

Abstract

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Human islet cell transplantation is a procedure for the treatment of type 1 diabetes practiced by several health centers worldwide. In this procedure, patients receive islet cells harvested from at least one donor pancreas (cadaveric donor pancreases or an autograft from the patient themselves). The purified islet cells are injected into the recipient's hepatic portal vein during a nonsurgical procedure, which can be repeated up to three times. The cells migrate to the liver where they produce insulin. Follow-up treatment with antirejection drugs is necessary because the transplants of islet cells have the same immunological properties as solid organ transplants (1). The concept was tested in animal models during the 1970s (2); however, a successful human transplant was not performed until 1990 (3). To date, approximately 500 patients have undergone islet cell transplantation world wide (4). The islet cell isolation procedure introduces a unique, potential exposure pathway for human infection with the bovine spongiform encephalopathy (BSE) agent because of the digestion of donor tissue with an enzyme blend purified from crude collagenases of the bacterium Clostridium histolyticum produced in a fermentation process. Certain manufacturers used a growth medium that contained brain-heart infusion (BHI) to grow C. histolyticum. BHI is made from brain and other specified risk materials sourced from cattle. The result of the manufacturing process is a semipurified enzyme cocktail derived from tissues potentially contaminated with BSE agent. The enzyme preparation might then contaminate donor tissue during dissociation of islet cells prior to transplantation. BSE is a rare, progressive, neurodegenerative, and invariably fatal brain disease that affects both humans and animals (5). In humans, oral exposure to the BSE agent is believed to manifest as variant Creutzfeldt- Jakob disease (vCJD) (6). A quantitative risk assessment was conducted on the islet cell manufacturing process, including the sourcing and production of collagenases to quantify this potential exposure pathway for vCJD. The risk assessment critically analyzed what was known about the manufacturing process of the enzyme but had to use data gathered from expert opinion and past work with “biopharm” materials (7) to contend with large information gaps. Because of limitations in the input data, the assessment must be used with caution and perhaps is best viewed as a learning and pioneer exercise. Since the research described in this article was performed, an alternative source of collagenase prepared with plant-based growth media (without BHI) was implemented for clinical use. Although current manufacturing processes no longer use bovine materials for collagenase production, this investigation, within the limitations noted above, is relevant for those patients who previously received islet cell transplants. Importantly, all patients undergoing this procedure are exposed to the very low risk that the islet cell donor pancreas may be from a person who was harboring CJD or vCJD but was not showing signs of illness; this irreducible source of risk from transplantation of human tissues was not evaluated in this assessment, but is acknowledged. Monte Carlo simulation was chosen for scenario analysis because of its ability to model low probability occurrences. Major information gaps were covered by using worst-case scenarios for missing data resulting in a conservative estimate of risk. Estimation of the potential risk of infection per treatment, Ppi/etr, was conducted based on the values of the input parameters collected from different sources (Tables 1 and 2). The general framework of the Monte Carlo protocol was implemented using Crystal Ball 7 software (Decisioneering Inc., Denver, CO) by generating the parametric model y=f(x1, ..., xq), where “y” represents the final output of the model, P(pi/etr). Variables x1, ..., xq are the inputs required to calculate P(pi/etr). The complete set of data inputs used for the equations are listed in Table 2. Sensitivity analysis showed that the level of risk was strongly correlated with the mass of infected tissue in a batch (Table 2, variable W) and the number of animals in a batch (Table 2, variable Nb). Additional details of the model development and Monte Carlo simulation can be found in the full risk assessment available from the Public Health Agency of Canada (contact the corresponding author Dr. ElSaadany, [email protected], for the full islet cell risk assessment report).TABLE 1: MCS risk assessment model equations with outcomes and ranges of uncertaintyTABLE 2: The vCJD parametric risk model inputs used for the equations found in Table 1The model predicts a potential risk of vCJD infection per single human islet cell treatment of approximately one in 100 million (1.12×10−8). The 95% confidence interval around the uncertainty of this result is three orders of magnitude (3×10−9, 1×10−6). The assessment indicates that even using worst-case scenarios for the assessment inputs, the risk of contracting vCJD from a single islet transplantation procedure is extremely low. ACKNOWLEDGMENTS The authors thank Dr. Abdel El-Shaarawi for his consultation and quantitative review of the model. Within the Public Health Agency of Canada (PHAC), the authors also thank Ms. Caroline Desjardins and acknowledge the role of Dr. Robert Gervais for his role in completing the risk assessment. Susie ElSaadany1 Michael G. Tyshenko2 Tamer Oraby2 Andrew J. Malcolm3 Peter Senior3 A. M. James Shapiro3 Angela Catford1 Tarek Salem2,4 Jun Wu1 Daniel Krewski2 Robert G. Rohwer5,6 1Blood Safety Surveillance and Health Care Acquired Infections Division Public Health Agency of Canada, Ottawa ON, Canada 2McLaughlin Centre for Population Health Risk Assessment University of Ottawa, Ottawa ON, Canada 3Clinical Islet Transplant Program, Edmonton AB, Canada 4Clinical Trials Group 1 Health Canada, Ottawa ON, Canada 5Medical Research Service Veterans Affairs Medical Center Baltimore, MD 6Rohwer Technical Counseling, LLC Ellicott City, MD

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.284
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations6
Published2011
Admission routes2
Has abstractyes

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