MétaCan
Menu
Retour à la cohorte
Enregistrement W7070849843

Personalised Medicine in ANCA-Associated Vasculitis: The Role of Urine Soluble CD163

2021· dissertation· en· W7070849843 sur OpenAlexfundno aff

Notice bibliographique

RevueArrow@dit (Dublin Institute of Technology) · 2021
Typedissertation
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueNuclear Structure and Function
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of TorontoMeath FoundationUniversity College CorkScience Foundation IrelandVasculitis UKRijksuniversiteit GroningenTrinity College DublinAmerican Society of Nephrology
Mots-clésVasculitisProteinuriaBiomarkerUrinary systemDipstickGlomerulonephritisProspective cohort studySystemic vasculitisCohort
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In this thesis I have identified a highly sensitive and specific association between urinary sCD163 and active renal vasculitis in the clinical setting of renal vasculitis flare in both retrospective and prospective studies. To define clinical caveats in usCD163 interpretation, I have explored the influence of high-grade proteinuria on usCD163 interpretation. There is a strong biologic rationale for usCD163 in the monitoring of renal vasculitis activity as it is a marker of macrophages and is strongly expressed in glomerular crescents. In crescentic glomerulonephritis there is direct shedding of soluble CD163 protein from the glomerular crescent cell surface directly into the urinary space leads to elevated levels. usCD163 is easily measured by commercial ELISA with this thesis validating a diagnostic grade assay.\nusCD163 is elevated in subtle renal vasculitis flare and is superior to uMCP-1: In collaboration with the Vasculitis Clinical Research Consortium usCD163 and uMCP-1 were measured in a serially sampled longitudinal multicentre cohort with clinically mild renal vasculitis. Both biomarkers were elevated in the presence of active renal vasculitis, with usCD163 displaying superior area under the curve than uMCP1, 0.794 and 0.687, respectively. usCD163 and uMCP1 correlated poorly with r2 of 0.11, highlighted their differing roles in glomerular macrophage recruitment and activation. In subtle active renal vasculitis, the moderate clinical utility of each biomarker in isolation was enhanced by using usCD163 to exclude active vasculitis, and then grouping the ?usCD163 positive / uMCP1 positive? and ?usCD163 / new proteinuria? as the two ?Yes? nodes, giving a positive LR of 19. This decision tree approach increased diagnostic precision and incorporated proteinuria.\nusCD163 is diagnostic of renal vasculitis flare: Prospective enrolment of patients with known AAV presenting with potential renal vasculitis flare was performed in a multicentre cohort. usCD163 was measured by diagnostic and research grade ELISAs. usCD163 was elevated in renal vasculitis flare with concentrations remaining low in renal vasculitis flare mimics such as sepsis, isolated hematuria and non-vasculitic acute kidney injury. usCD163 displayed exceptional biomarker characteristics in this setting with AUC of 0.95 with superiority to RBC casts, BVAS criteria and changes in serum creatinine. usCD163 displayed similar biomarker characteristics to the current ?gold standard? of kidney biopsy. The use of a diagnostic grade sCD163 assay has enhanced the potential clinical translationof usCD163 as a diagnostic test for active renal vasculitis.usCD163 is elevated in high-grade proteinuria but correction for urinary protein attenuates usCD163 concentrations in those without active renal vasculitis: Loss of integrity of the glomerular filtration barrier may lead to detection of serum sCD163 in urine. To address this diagnostically relevant potential caveat in usCD163 interpretation we studied usCD163 in (1) primary nephrotic syndrome and (2) renal AAV with and without proteinuria. In primary nephrotic syndrome usCD163 concentrations were hypothesised to be undetectable as there is no local source of sCD163 production, however there is extensive foot process effacement with potential for passage of serum sCD163 across the glomerular filtration barrier leading to detection in urine. In primary nephrotic syndrome with proteinuria >3.5g/day, usCD163 concentrations were elevated. This signal was subsequently attenuated when sCD163 concentrations were corrected for urine protein and albumin concentrations. In renal AAV usCD163 concentration was increased in remission AAV with persistent proteinuria compared to remission AAV without proteinuria, but concentrations remained significantly less than those with active renal vasculitis. The sCD163 ratio of serum to urine protein and albumin values was calculated to provide an estimate of local glomerular sCD163 production. Normalising usCD163 to total urine protein, albumin and sCD163 ratio of serum to urine protein and albumin values yielded similar results, with no significant difference between remission proteinuric and remission non-proteinuric subjects, but concentrations remained elevated in active renal vasculitis. The simple normalisation of usCD163 to total urine protein performing marginally better than the more complex fractional excretion of protein: sCD163 ratio with AUC values of 0.93 and 0.91, respectively. Therefore, in patients with nephrotic range proteinuria, normalisation of the usCD163 value to total urine protein is the method of greatest clinical utility for non-invasive identification of active renal vasculitis.\nValidation of a Diagnostic Grade Test: A key step in the translation of usCD163 from research to diagnostic grade assay was collaboration with industry to develop a diagnostic usCD163 assay. We rigorously validated both commercially available research grade and in-house research grade assays and determined that the R&D Systems Duoset sCD163 assay had the most optimal operating characteristics for detection of active renal vasculitis. We then partnered with industry to develop a diagnostic grade usCD163 ELISA. The optimal research grade usCD163 assay was used to validate the diagnostic grade assay. This assay has received the CE marking, ISO 15189 and NEQAS accreditation allowing widespread adoption by clinical laboratories and is now commercially available.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,341
Score d'incertitude au seuil0,948

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,005
Tête enseignante GPT0,226
Écart entre enseignants0,221 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueArrow@dit (Dublin Institute of Technology)Même sujetNuclear Structure and FunctionTravaux en français237 207