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Proinflammatory Events and HLA Antibodies: Nothing to Sneeze At

2009· letter· en· W2075646067 on OpenAlexaff
Kenneth E. Kokko, Robert A. Bray, Peter Nickerson, Howard M. Gebel

Bibliographic record

VenueAmerican Journal of Transplantation · 2009
Typeletter
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsProinflammatory cytokineMedicineAntibodyDonor specific antibodiesScopusHuman leukocyte antigenImmunologyAntigenInflammationMEDLINEBiology

Abstract

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In this issue of AJT, Locke et al. (1Locke JE Zachary AA Warren DS et al.Proinflammatory events are associated with significant increases in breadth and strength of HLA –specific antibody.Am J Transplant. 2009; Abstract Full Text Full Text PDF Scopus (101) Google Scholar) report that proinflammatory events, ranging from bacterial infections to myocardial infarctions, are associated with an increase in the breadth and strength of HLA antibodies among patients previously sensitized to HLA antigens. While suspected for years, descriptions of this relationship were all anecdotal. As the first report to assess the data scientifically, Locke et al. have presented reasonable evidence to conclude that the suspicions were true. The question now is what to do with this information. The authors advocate more frequent monitoring of highly sensitized patients, citing that such antibodies in transplant recipients are associated with higher rates of rejection and graft loss compared to unsensitized patients. However, these data were collected prior to the development of sensitive solid phase techniques and likely represent a failure to have detected donor specific antibodies (DSA) pretransplant. More recent data reveals that highly sensitized patients without DSA have graft survival essentially identical to unsensitized patients (2Bray RA Nolen JD Larsen C et al.Transplanting the highly sensitized patient: The Emory algorithm.Am J Transplant. 2006; 6: 2307-2315Crossref PubMed Scopus (176) Google Scholar). Nonetheless, the appearance (or reappearance) of DSA in a transplant recipient may be a reason for concern and an impetus to initiate aggressive therapy to prevent graft rejection (3Burns JM Cornell LD Perry DK et al.Alloantibody levels and acute humoral rejection early after positive crossmatch kidney transplantation.Am J Transplant. 2008; 8: 2684-2694Crossref PubMed Scopus (180) Google Scholar). However, others report that DSA positive patients with stable renal function (4Bartel G Regele H Wahrmann M et al.Posttransplant HLA alloreactivity in stable kidney transplant recipients – Incidences and impact on long-term allograft outcomes.Am J Transplant. 2008; 8: 2652-2660Crossref PubMed Scopus (58) Google Scholar) and no episodes of antibody mediated rejection (5Lefaucheur C Suberbielle-Boissel C Hill GS et al.Clinical relevance of preformed HLA donor specific antibodies in kidney transplantation.Am J Transplant. 2008; 8: 324-331Crossref PubMed Scopus (183) Google Scholar), have excellent graft function/survival and caution not to regard DSA as problematic unless there is graft dysfunction. Currently, the patients most likely to be at risk for early posttransplant development of DSA are those patients who had DSA prior to transplant and underwent desensitization (3Burns JM Cornell LD Perry DK et al.Alloantibody levels and acute humoral rejection early after positive crossmatch kidney transplantation.Am J Transplant. 2008; 8: 2684-2694Crossref PubMed Scopus (180) Google Scholar). Such patients are already being monitored closely since they are known to be at risk for adverse outcomes. Would they benefit from more frequent monitoring if they experience a proinflammatory event posttransplant? Perhaps, although it is unknown whether increase in antibody activity after a proinflammatory event are sustainable and/or clinically relevant. Locke et al. did not indicate whether the 23 patients transplanted across a positive crossmatch who experienced a proinflammatory event and had an increase in the breadth and strength of HLA antibodies had a worse outcome compared to 19 positive crossmatch patients without a documented inflammatory event. Other important groups of patients to consider are those who are unsensitized and those who, while sensitized, are transplanted without any history of DSA. Do these categories of patients need frequent monitoring for de novo DSA anytime they experience an infection or other proinflammatory event? As Locke et al. reported, the increased breadth of HLA activity following an inflammatory event was due to an expansion of antibodies within the same cross reactive group (CREG) as antibodies previously detected in the patient and not to the development of ‘new’ antibodies, As an example, consider two patients with well defined antibodies; one moderately sensitized (current PRA = 47%), the other, highly sensitized (current PRA = 87% PRA). The antibodies identified in the highly sensitized patient have been stable over a three- year period (certainly a time frame when a proinflammatory event is likely to have occurred) and never included specificities (private or CREG) against donor antigens. In contrast, antibodies in the moderately sensitized patient have waxed and waned during that same time frame and while none of the antibodies appeared to be donor directed, they were against the same CREG as one of the mismatched donor antigens. Do both patients require increased antibody monitoring after an inflammatory event? As Locke et al. note, >80% of renal transplant recipients develops an infection during their first posttransplant year. Importantly, the overall rate of antibody-mediated rejection in these patients is less than 5%. Unquestionably, Locke et al. raise an interesting and potentially important association between proinflammatory events and the subsequent expression of HLA antibodies. However, based on the sheer number of inflammatory events that can occur, the diversity of patients receiving transplants (sensitized, unsensitized and desensitized) and the unknown duration, stability and clinical significance of the antibodies that develop are major variables that should be considered. Prospective outcome studies are needed before routine monitoring for HLA antibodies postinflammation can be endorsed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.028
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0040.002
Science and technology studies0.0040.004
Scholarly communication0.0100.011
Open science0.0040.004
Research integrity0.0180.023
Insufficient payload (model declined to judge)0.0280.015

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 head0.011
GPT teacher head0.280
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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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Citations1
Published2009
Admission routes1
Has abstractyes

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