Microvascular inflammation: Gene expression changes do not necessarily reflect pathogenesis
Notice bibliographique
Résumé
To the Editor: We read with great interest the manuscript by Halloran and the INTERCOMEX investigators recently published in AJT on the molecular phenotype of antibody-mediated kidney transplant rejection (ABMR).1Halloran PF Madill-Thomsen KS Pon S et al.Molecular diagnosis of ABMR with or without donor-specific antibody in kidney transplant biopsies: differences in timing and intensity but similar mechanisms and outcomes.Am J Transplant. 2022; (Online ahead of print.)Abstract Full Text Full Text PDF Scopus (6) Google Scholar We described earlier that the intrarenal molecular signatures of ABMR histology did not differ between patients with and without HLA-DSA.2Callemeyn J Lerut E de Loor H et al.Transcriptional changes in kidney allografts with histology of antibody-mediated rejection without anti-HLA donor-specific antibodies.J Am Soc Nephrol. 2020; 31: 2168-2183Crossref PubMed Scopus (31) Google Scholar The INTERCOMEX data now confirm that also molecularly defined ABMR (mABMR) did not differ between patients with and without HLA-DSA. It is reassuring that the molecular approach by Halloran et al.1Halloran PF Madill-Thomsen KS Pon S et al.Molecular diagnosis of ABMR with or without donor-specific antibody in kidney transplant biopsies: differences in timing and intensity but similar mechanisms and outcomes.Am J Transplant. 2022; (Online ahead of print.)Abstract Full Text Full Text PDF Scopus (6) Google Scholar agrees with our previous results based on light microscopic classification of microvascular inflammation. However, we do not share the conclusion of Halloran et al. that the lack of major differences in gene expression profiles between HLA-DSA-positive and -negative cases suggests that all cases with microvascular inflammation and an increased expression of above transcripts can be diagnosed as ABMR, and hence the management should not differ between HLA-DSA-positive and -negative cases. Neither our study2Callemeyn J Lerut E de Loor H et al.Transcriptional changes in kidney allografts with histology of antibody-mediated rejection without anti-HLA donor-specific antibodies.J Am Soc Nephrol. 2020; 31: 2168-2183Crossref PubMed Scopus (31) Google Scholar nor Halloran’s1Halloran PF Madill-Thomsen KS Pon S et al.Molecular diagnosis of ABMR with or without donor-specific antibody in kidney transplant biopsies: differences in timing and intensity but similar mechanisms and outcomes.Am J Transplant. 2022; (Online ahead of print.)Abstract Full Text Full Text PDF Scopus (6) Google Scholar can make claims on underlying causality. With these analyses, top genes and pathways are essentially uncovered by statistical comparison of samples with versus without inflammation, thus assessing primarily the cellular composition of the kidneys. The mechanism behind this immune cell infiltration and activation, and related tissue/endothelial injury, is not necessarily reflected by their gene expression changes. For instance, the observation that Fc receptors are upregulated in HLA-DSA-negative mABMR is not proof that these receptors contributed to the infiltration and activation of the cells. It is possible that this merely reflects the presence of (Fc receptor-expressing) cells, potentially activated by totally different mechanisms. Hence the transcripts of a molecular phenotype are as specific/non-specific as the lesions of a histologic phenotype. In the absence of data on potential causes or specific risk factors for the HLA-DSA-negative mABMR, it is premature to conclude that this phenotype is explained by antibodies, either missed HLA-DSA (below the levels of current detection methods) or non-HLA antibodies. Recent studies demonstrated the activation of NK cells by antibody- and Fc-receptor independent mechanisms. For instance, the lack of inhibitory signals dependent upon KIR/HLA-I interactions (“missing self”) is sufficient to trigger microvascular inflammation, with a cellular composition like that observed in ABMR.3Koenig A Chen CC Marcais A et al.Missing self triggers NK cell-mediated chronic vascular rejection of solid organ transplants.Nat Commun. 2019; 10: 5350Crossref PubMed Scopus (61) Google Scholar It is also conceivable that other innate allorecognition mechanisms, including myeloid- and monocyte-driven allorecognition,4Dai H Lan P Zhao D et al.PIRs mediate innate myeloid cell memory to nonself MHC molecules.Science. 2020; 368: 1122-1127Crossref PubMed Scopus (59) Google Scholar or even primary T-cell activation by mismatched HLA molecules5Senev A Lerut E Coemans M et al.Association of HLA mismatches and histology suggestive of antibody-mediated injury in absence of donor-specific anti-HLA antibodies.Clin J Am Soc Nephrol. 2022; (Online ahead of print.)Crossref PubMed Scopus (4) Google Scholar could lead to similar histological/molecular pictures. We agree with Halloran et al. that it is time to consider including well-defined HLA-DSA-negative microvascular rejection in clinical trials but urge that this phenotype be kept delineated from its HLA-DSA-positive counterpart. Lumping all mABMR cases together bears the risk of underestimating the heterogeneity of the phenotype and reminds us of earlier discussions on the abandoned chronic allograft nephropathy (CAN) concept, just at the molecular level instead of at the histological level. In the era of precision diagnostics, disease- and pathogenesis-specific approaches are needed. Therefore, an international consensus definition of HLA-DSA-negative microvascular rejection seems necessary to study the mechanisms operating more systematically, and to find better, targeted therapies. The authors of this manuscript have no conflicts of interest to disclose as described by the American Journal of Transplantation.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,019 | 0,025 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».