MétaCan
Menu
Retour à la cohorte
Enregistrement W4391345466 · doi:10.1016/j.ekir.2024.01.046

Describing and Explaining ADPKD Variability Within Families

2024· editorial· en· W4391345466 sur OpenAlexaboutno aff
Sai Achi, Andrew Mallett

Notice bibliographique

RevueKidney International Reports · 2024
Typeeditorial
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueGenetic and Kidney Cyst Diseases
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPKD1Autosomal dominant polycystic kidney diseaseMedicinePenetranceScopusDiseaseInternal medicineGenotypeGeneticsMEDLINEPhenotypeGeneBiology

Résumé

récupéré en direct d'OpenAlex

Differences in the experience of kidney disease and other complications of Autosomal Dominant Polycystic Kidney Disease (ADPKD) within families has long been a clinical conundrum1Persu A. Duyme M. Pirson Y. et al.Comparison between siblings and twins supports a role for modifier genes in ADPKD.Kidney Int. 2004; 66: 2132-2136Abstract Full Text Full Text PDF PubMed Scopus (81) Google Scholar. Where large cohort studies have previously identified key associations between genetic aetiology and ADPKD phenotype2Cornec-Le Gall E. Audrezet M.P. Chen J.M. et al.Type of PKD1 Mutation Influences Renal Outcome in ADPKD.J Am Soc Nephrol. 2013; 24: 1006-1013Crossref PubMed Scopus (366) Google Scholar,3Hwang Y.H. Conklin J. Chan W. et al.Refining Genotype-Phenotype Correlation in Autosomal Dominant Polycystic Kidney Disease.J Am Soc Nephrol. 2016; 27: 1861-1868Crossref PubMed Google Scholar, there has been a persistent observed and reported phenomena of unexpectedly mild disease in close to one in five patients4Lanktree M.B. Guiard E. Akbari P. et al.Patients with Protein-Truncating PKD1 Mutations and Mild ADPKD.Clin J Am Soc Nephrol. 2021; 16: 374-383Crossref PubMed Scopus (0) Google Scholar. These unexpectedly divergent cases have challenged the traditionally deterministic dogma of genotype-phenotype correlations in monogenic disease. Multiple different lines of evidence have emerged to help explain such phenotypic discordance, including polygenic contributions to phenotype5Khan A. Shang N. Nestor J.G. et al.Polygenic risk alters the penetrance of monogenic kidney disease.Nat Commun. 2023; 14: 8318Crossref Scopus (0) Google Scholar, incomplete penetrance6Rossetti S. Kubly V.J. Consugar M.B. et al.Incompletely penetrant PKD1 alleles suggest a role for gene dosage in cyst initiation in polycystic kidney disease.Kidney Int. 2009; 75: 848-855Abstract Full Text Full Text PDF PubMed Scopus (225) Google Scholar, sex or environmental exposures7Heyer C.M. Sundsbak J.L. Abebe K.Z. et al.Predicted Mutation Strength of Nontruncating PKD1 Mutations Aids Genotype-Phenotype Correlations in Autosomal Dominant Polycystic Kidney Disease.J Am Soc Nephrol. 2016; 27: 2872-2884Crossref PubMed Scopus (122) Google Scholar, and an overarching theory of a polycystin signalling cystogenic threshold which relates to ADPKD phenotype8Antignac C. Calvet J.P. Germino G.G. et al.The Future of Polycystic Kidney Disease Research--As Seen By the 12 Kaplan Awardees.J Am Soc Nephrol. 2015; 26: 2081-2095Crossref PubMed Scopus (0) Google Scholar (Figure 1). The practical application of which has emerged in the form of the PROPKD Score9Cornec-Le Gall E. Audrezet M.P. Rousseau A. et al.The PROPKD Score: A New Algorithm to Predict Renal Survival in Autosomal Dominant Polycystic Kidney Disease.J Am Soc Nephrol. 2016; 27: 942-951Crossref PubMed Scopus (217) Google Scholar which combines many of these factors to practically prognosticate kidney phenotype in ADPKD in a more individualised way. Further causative genes which help to explain phenotypic variability and the broader spectrum of ADPKD have also been identifiedS1-S3. Despite these efforts approximately one in ten families affected by ADPKD experience substantial and otherwise unexpected kidney disease discordanceS4 which continues to pose challenges for individual clinical management, prognostication and broader genetic counselling. Recently Elhassan et al (in press)S5 have replicated and expanded upon the previous findings around such intrafamily variability of ADPKD severity in an Irish family cohort. Similarly to Lanktree et alS4, they have identified that approximately 13% of families experience marked or extreme intrafamily variability. This is important in several key ways discussed below. Firstly, this studyS5 reconfirms these findings in a genetically distinct population which further aids in the translation of its findings. Whilst contemporary Canadian and Irish populations are diverse, it is likely that they remain overrepresented by those of White or Caucasian ancestry. As such further replication in additional diverse communities and jurisdictions is likely still required, especially in Asia, Africa and Oceania. Secondly, these findings of Elhassan et alS5 critically confirms the establishment of key definitions of ADPKD phenotype severity and variability:•Severe disease: Defined as patients who reached kidney failure (KF) before the age of 55 years, or with eGFR annual decline >5 ml/min/annum, or with PROPKD score >6, or with Mayo Clinic Imaging Classification (MCIC) class 1D or 1E, or with a kidney length on US >16.5 cm at age <45 years.•Mild disease: Defined as patients who developed KF later than the age of 70 years, or with PROPKD score #3 at an age later than 35 years, or with MCIC risk class 1A or 1B.•Intermediate Disease: Failed to meet the criteria for either mild or severe disease.•Marked/Discordant Intrafamily Variability: A family with at least 1 severe and 1 mild case. The confirmed assertion of these definitions is critical to future application of such findings in practice given that this now enables an accepted ontology to be applied. It must however be noted that the application of the definition of intrafamily variability is dependent upon a family having at least two known and well characterized family members. For de novo cases or those without known or well characterized affected family members, alternate approaches to individualized prognostication and counselling remain indicated such as PROPKD Score or Mayo Clinic Imaging Classification (MCIC)S6. Thirdly, this analysis was able to compare different criteria of disease severity for both interfamily variability as well as intrafamily variability of ADPKD phenotype. Whilst this identified that interfamily phenotypic variability was most discordant according to PROPKD score (63.7%), however this variability between different families was similar by age at kidney failure and MCIC (28.8% and 24% respectively). By contrast, intrafamily variability was most discordant according to MCIC (24%) with both age at kidney failure and PROPKD score representing much more modest phenotypic discordance within individual families (7.7% and 8.4% respectively). This suggests that a broad approach with multiple forms of severity assessment is indicated for individual and family characterization and prognostication. For a patient who might be encountered in clinic, appraisal of personal phenotype (kidney imaging; medical history), genetic information, and family history may all be required in addition to understanding of current kidney function in order to provide meaningful ADPKD prognostication for them. Lastly, this study gives further practical insights into a more nuanced experience of being affected by a monogenic disease such as ADPKD. The potential disease-associated changes in our genome do not necessarily define the whole story of what might happen next. Rather a broad combination of intrinsic and extrinsic factors is likely to together influence phenotypes and disease trajectories, and ADPKD is certainly illuminating this. Where this multilayered reality may be less binary or linear, the future challenge remains in applying it to the clinical care of affected or at-risk patients and families. Similar or larger high quality cohort studies across different populations and jurisdictions will assist with both confirming these findings but also to enable globalized approaches to ADPDK research in partnership with patients. Areas for priority action might include longitudinal characterization for more granular prognostication evidence, novel gene and polygenic characterization, platform trial designs, research/clinical data reuse to minimize research waste, and dynamic consent approaches to patient-centric participation. This studyS5 in concert with previous research and astute clinical investigation is enabling the delivery of a more personalized approach to ADPKD clinical care. It indicates that roughly one in ten families experience marked/discordant intrafamily variability of ADPKD phenotype, with a well defined approach to ADPKD phenotype ontology, and the indicated need to concurrently apply multiple approaches to disease severity assessment. Most importantly, it also highlights future avenues for clinical study and research to further refine the evidence base that underpins the patient-centric and increasingly personalized care paradigm in contemporary ADPKD practice. SA and AM drafted the manuscript with all co-authors providing input, review and edits. All coauthors do not have any disclosures. The authors would like to gratefully acknowledge the patients who participated in the studies referenced. Download .pdf (.08 MB) Help with pdf files Familial Variability of Disease Severity in Adult Patients With ADPKDKidney International ReportsPreviewAutosomal dominant polycystic kidney disease (ADPKD) is the most common monogenic nephropathy and has striking familial variability of disease severity. Full-Text PDF Open Access

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)0,001
score de la tête « metaresearch » (Gemma)0,014
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,257
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,014
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
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 Opus0,009
Tête enseignante GPT0,257
Écart entre enseignants0,248 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations3
Publié2024
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueKidney International ReportsMême sujetGenetic and Kidney Cyst DiseasesTravaux en français237 207